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<div class="title">PermuteAndBatchToSpaceAsDepthToSpaceTests.cpp File Reference</div> </div>
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<div class="textblock"><code>#include &quot;<a class="el" href="_test_utils_8hpp_source.xhtml">../TestUtils.hpp</a>&quot;</code><br />
<code>#include &lt;<a class="el" href="_network_8hpp_source.xhtml">Network.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_optimizer_8hpp_source.xhtml">Optimizer.hpp</a>&gt;</code><br />
<code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
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<tr class="memitem:ac9ae3545393ad3f2dac5c8f789bbbfbf"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_permute_and_batch_to_space_as_depth_to_space_tests_8cpp.xhtml#ac9ae3545393ad3f2dac5c8f789bbbfbf">BOOST_AUTO_TEST_CASE</a> (PermuteAndBatchToSpaceAsDepthToSpaceOptimizerTest)</td></tr>
<tr class="memdesc:ac9ae3545393ad3f2dac5c8f789bbbfbf"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tests that the optimization performed by PermuteAndBatchToSpaceAsDepthToSpace is as expected. <a href="#ac9ae3545393ad3f2dac5c8f789bbbfbf">More...</a><br /></td></tr>
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<tr class="memdesc:ad5937fc491fa54298cbd8fa7d599993f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tests that the optimization performed by PermuteAndBatchToSpaceAsDepthToSpace is as expected. <a href="#ad5937fc491fa54298cbd8fa7d599993f">More...</a><br /></td></tr>
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<h2 class="memtitle"><span class="permalink"><a href="#ac9ae3545393ad3f2dac5c8f789bbbfbf">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[1/2]</span></h2>
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<p>Tests that the optimization performed by PermuteAndBatchToSpaceAsDepthToSpace is as expected. </p>
<p>Note this does not ensure the correctness of the optimization - that is done in the below test. </p>
<p class="definition">Definition at line <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_tests_8cpp_source.xhtml#l00087">87</a> of file <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_tests_8cpp_source.xhtml">PermuteAndBatchToSpaceAsDepthToSpaceTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="_graph_8hpp_source.xhtml#l00168">Graph::cbegin()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00170">Graph::cend()</a>, <a class="el" href="_test_utils_8hpp_source.xhtml#l00020">CheckSequence()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_optimizer_8hpp_source.xhtml#l00043">armnn::MakeOptimizations()</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, and <a class="el" href="_optimizer_8cpp_source.xhtml#l00016">Optimizer::Pass()</a>.</p>
<div class="fragment"><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; <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> network = CreateTestNetwork();</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a> graph = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_network.xhtml">Network</a>*<span class="keyword">&gt;</span>(network.get())-&gt;GetGraph();</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; <span class="comment">// Confirm initial graph is as we expect</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; BOOST_TEST(<a class="code" href="_test_utils_8hpp.xhtml#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a>(graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a98b1109a9006f8cc7d4566146a3bd737">cbegin</a>(), graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a02fd29b6dc3e21fbe4484362d85893bc">cend</a>(), &amp;IsLayerOfType&lt;InputLayer&gt;, &amp;IsLayerOfType&lt;PermuteLayer&gt;,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; &amp;IsLayerOfType&lt;BatchToSpaceNdLayer&gt;, &amp;IsLayerOfType&lt;OutputLayer&gt;));</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">// Perform the optimization which should merge the two layers into a DepthToSpace</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a>(graph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a17d1279f5f8e3b92c328b1ed3b6fd549">PermuteAndBatchToSpaceAsDepthToSpace</a>()));</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="comment">// Check that the replacement has been made as expected</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">auto</span> checkDepthToSpace = [](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <span class="keyword">const</span> layer) -&gt; <span class="keywordtype">bool</span> {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">return</span> IsLayerOfType&lt;DepthToSpaceLayer&gt;(layer) &amp;&amp;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; static_cast&lt;const DepthToSpaceLayer*&gt;(layer)-&gt;GetParameters().m_BlockSize == 2 &amp;&amp;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_depth_to_space_layer.xhtml">DepthToSpaceLayer</a>*<span class="keyword">&gt;</span>(layer)-&gt;GetParameters().m_DataLayout == DataLayout::NHWC &amp;&amp;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; layer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>() == <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>({ 1, 4, 6, 1 }, DataType::Float32);</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;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; BOOST_TEST(<a class="code" href="_test_utils_8hpp.xhtml#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a>(graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a98b1109a9006f8cc7d4566146a3bd737">cbegin</a>(), graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a02fd29b6dc3e21fbe4484362d85893bc">cend</a>(), &amp;IsLayerOfType&lt;InputLayer&gt;, checkDepthToSpace,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; &amp;IsLayerOfType&lt;OutputLayer&gt;));</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; <span class="comment">// Check the new layer has the two merged layers listed as related layers</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; std::list&lt;std::string&gt; testRelatedLayers = { <span class="stringliteral">&quot;batchToSpace&quot;</span>, <span class="stringliteral">&quot;permute&quot;</span> };</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; BOOST_TEST(CheckRelatedLayers&lt;DepthToSpaceLayer&gt;(graph, testRelatedLayers));</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_aa7427025a851113a492de0b68b23d22a"><div class="ttname"><a href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">armnn::MakeOptimizations</a></div><div class="ttdeci">Optimizer::Optimizations MakeOptimizations(Args &amp;&amp;... args)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8hpp_source.xhtml#l00043">Optimizer.hpp:43</a></div></div>
<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#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml_a98b1109a9006f8cc7d4566146a3bd737"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a98b1109a9006f8cc7d4566146a3bd737">armnn::Graph::cbegin</a></div><div class="ttdeci">ConstIterator cbegin() const</div><div class="ttdoc">Returns const iterator pointing to the beginning of the list. Lowercase for range-based for loops...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00168">Graph.hpp:168</a></div></div>
<div class="ttc" id="classarmnn_1_1_optimizer_xhtml_a1f48ba622b76ea04d15c9b62f642bf08"><div class="ttname"><a href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a></div><div class="ttdeci">static void Pass(Graph &amp;graph, const Optimizations &amp;optimizations)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8cpp_source.xhtml#l00016">Optimizer.cpp:16</a></div></div>
<div class="ttc" id="namespacearmnn_1_1optimizations_xhtml_a17d1279f5f8e3b92c328b1ed3b6fd549"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a17d1279f5f8e3b92c328b1ed3b6fd549">armnn::optimizations::PermuteAndBatchToSpaceAsDepthToSpace</a></div><div class="ttdeci">OptimizeForConnection&lt; PermuteLayer, BatchToSpaceNdLayer, PermuteAndBatchToSpaceAsDepthToSpaceImpl&lt; PermuteLayer &gt; &gt; PermuteAndBatchToSpaceAsDepthToSpace</div><div class="ttdef"><b>Definition:</b> <a href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00103">PermuteAndBatchToSpaceAsDepthToSpace.hpp:103</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_network.xhtml">armnn::Network</a></div><div class="ttdoc">Private implementation of INetwork. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00028">Network.hpp:28</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler &amp; GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00221">Layer.hpp:221</a></div></div>
<div class="ttc" id="_test_utils_8hpp_xhtml_a0eedb278f57355b47fa983450d4e378c"><div class="ttname"><a href="_test_utils_8hpp.xhtml#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a></div><div class="ttdeci">bool CheckSequence(const armnn::Graph::ConstIterator first, const armnn::Graph::ConstIterator last)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8hpp_source.xhtml#l00020">TestUtils.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml_a02fd29b6dc3e21fbe4484362d85893bc"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a02fd29b6dc3e21fbe4484362d85893bc">armnn::Graph::cend</a></div><div class="ttdeci">ConstIterator cend() const</div><div class="ttdoc">Returns const iterator pointing to the end of the list. Lowercase for range-based for loops...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00170">Graph.hpp:170</a></div></div>
<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#l00101">INetwork.hpp:101</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00209">Layer.hpp:209</a></div></div>
<div class="ttc" id="classarmnn_1_1_depth_to_space_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_depth_to_space_layer.xhtml">armnn::DepthToSpaceLayer</a></div><div class="ttdoc">This layer represents a DepthToSpace operation. </div><div class="ttdef"><b>Definition:</b> <a href="_depth_to_space_layer_8hpp_source.xhtml#l00014">DepthToSpaceLayer.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_handler_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::OutputHandler::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdoc">Gets the matching TensorInfo for the output. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.xhtml#l00044">OutputHandler.hpp:44</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ad5937fc491fa54298cbd8fa7d599993f">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[2/2]</span></h2>
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<td class="memname">BOOST_AUTO_TEST_CASE </td>
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<p>Tests that the optimization performed by PermuteAndBatchToSpaceAsDepthToSpace is as expected. </p>
<p>Note this does not ensure the correctness of the optimization - that is done in the below test. </p>
<p class="definition">Definition at line <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_tests_8cpp_source.xhtml#l00117">117</a> of file <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_tests_8cpp_source.xhtml">PermuteAndBatchToSpaceAsDepthToSpaceTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="_const_tensor_layer_visitor_8cpp_source.xhtml#l00170">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00168">Graph::cbegin()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00170">Graph::cend()</a>, <a class="el" href="_test_utils_8hpp_source.xhtml#l00020">CheckSequence()</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::CpuRef</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00032">IRuntime::Create()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_optimizer_8hpp_source.xhtml#l00043">armnn::MakeOptimizations()</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, <a class="el" href="_network_8cpp_source.xhtml#l00890">armnn::Optimize()</a>, and <a class="el" href="_optimizer_8cpp_source.xhtml#l00016">Optimizer::Pass()</a>.</p>
<div class="fragment"><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; <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> network = CreateTransposeTestNetwork();</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a> graph = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_network.xhtml">Network</a>*<span class="keyword">&gt;</span>(network.get())-&gt;GetGraph();</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="comment">// Confirm initial graph is as we expect</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; BOOST_TEST(<a class="code" href="_test_utils_8hpp.xhtml#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a>(graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a98b1109a9006f8cc7d4566146a3bd737">cbegin</a>(), graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a02fd29b6dc3e21fbe4484362d85893bc">cend</a>(), &amp;IsLayerOfType&lt;InputLayer&gt;, &amp;IsLayerOfType&lt;TransposeLayer&gt;,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; &amp;IsLayerOfType&lt;BatchToSpaceNdLayer&gt;, &amp;IsLayerOfType&lt;OutputLayer&gt;));</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="comment">// Perform the optimization which should merge the two layers into a DepthToSpace</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a>(graph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a98f54d4391347d517c7a7869e7707203">TransposeAndBatchToSpaceAsDepthToSpace</a>()));</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"> 129</span>&#160; <span class="comment">// Check that the replacement has been made as expected</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keyword">auto</span> checkDepthToSpace = [](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <span class="keyword">const</span> layer) -&gt; <span class="keywordtype">bool</span> {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">return</span> IsLayerOfType&lt;DepthToSpaceLayer&gt;(layer) &amp;&amp;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; static_cast&lt;const DepthToSpaceLayer*&gt;(layer)-&gt;GetParameters().m_BlockSize == 2 &amp;&amp;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_depth_to_space_layer.xhtml">DepthToSpaceLayer</a>*<span class="keyword">&gt;</span>(layer)-&gt;GetParameters().m_DataLayout == DataLayout::NHWC &amp;&amp;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; layer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>() == <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>({ 1, 4, 6, 1 }, DataType::Float32);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; };</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; BOOST_TEST(<a class="code" href="_test_utils_8hpp.xhtml#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a>(graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a98b1109a9006f8cc7d4566146a3bd737">cbegin</a>(), graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a02fd29b6dc3e21fbe4484362d85893bc">cend</a>(), &amp;IsLayerOfType&lt;InputLayer&gt;, checkDepthToSpace,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; &amp;IsLayerOfType&lt;OutputLayer&gt;));</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="comment">// Check the new layer has the two merged layers listed as related layers</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; std::list&lt;std::string&gt; testRelatedLayers = { <span class="stringliteral">&quot;batchToSpace&quot;</span>, <span class="stringliteral">&quot;permute&quot;</span> };</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; BOOST_TEST(CheckRelatedLayers&lt;DepthToSpaceLayer&gt;(graph, testRelatedLayers));</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_aa7427025a851113a492de0b68b23d22a"><div class="ttname"><a href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">armnn::MakeOptimizations</a></div><div class="ttdeci">Optimizer::Optimizations MakeOptimizations(Args &amp;&amp;... args)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8hpp_source.xhtml#l00043">Optimizer.hpp:43</a></div></div>
<div class="ttc" id="namespacearmnn_1_1optimizations_xhtml_a98f54d4391347d517c7a7869e7707203"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a98f54d4391347d517c7a7869e7707203">armnn::optimizations::TransposeAndBatchToSpaceAsDepthToSpace</a></div><div class="ttdeci">OptimizeForConnection&lt; TransposeLayer, BatchToSpaceNdLayer, PermuteAndBatchToSpaceAsDepthToSpaceImpl&lt; TransposeLayer &gt; &gt; TransposeAndBatchToSpaceAsDepthToSpace</div><div class="ttdef"><b>Definition:</b> <a href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00105">PermuteAndBatchToSpaceAsDepthToSpace.hpp:105</a></div></div>
<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#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml_a98b1109a9006f8cc7d4566146a3bd737"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a98b1109a9006f8cc7d4566146a3bd737">armnn::Graph::cbegin</a></div><div class="ttdeci">ConstIterator cbegin() const</div><div class="ttdoc">Returns const iterator pointing to the beginning of the list. Lowercase for range-based for loops...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00168">Graph.hpp:168</a></div></div>
<div class="ttc" id="classarmnn_1_1_optimizer_xhtml_a1f48ba622b76ea04d15c9b62f642bf08"><div class="ttname"><a href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a></div><div class="ttdeci">static void Pass(Graph &amp;graph, const Optimizations &amp;optimizations)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8cpp_source.xhtml#l00016">Optimizer.cpp:16</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_network.xhtml">armnn::Network</a></div><div class="ttdoc">Private implementation of INetwork. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00028">Network.hpp:28</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler &amp; GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00221">Layer.hpp:221</a></div></div>
<div class="ttc" id="_test_utils_8hpp_xhtml_a0eedb278f57355b47fa983450d4e378c"><div class="ttname"><a href="_test_utils_8hpp.xhtml#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a></div><div class="ttdeci">bool CheckSequence(const armnn::Graph::ConstIterator first, const armnn::Graph::ConstIterator last)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8hpp_source.xhtml#l00020">TestUtils.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml_a02fd29b6dc3e21fbe4484362d85893bc"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a02fd29b6dc3e21fbe4484362d85893bc">armnn::Graph::cend</a></div><div class="ttdeci">ConstIterator cend() const</div><div class="ttdoc">Returns const iterator pointing to the end of the list. Lowercase for range-based for loops...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00170">Graph.hpp:170</a></div></div>
<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#l00101">INetwork.hpp:101</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00209">Layer.hpp:209</a></div></div>
<div class="ttc" id="classarmnn_1_1_depth_to_space_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_depth_to_space_layer.xhtml">armnn::DepthToSpaceLayer</a></div><div class="ttdoc">This layer represents a DepthToSpace operation. </div><div class="ttdef"><b>Definition:</b> <a href="_depth_to_space_layer_8hpp_source.xhtml#l00014">DepthToSpaceLayer.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_handler_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::OutputHandler::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdoc">Gets the matching TensorInfo for the output. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.xhtml#l00044">OutputHandler.hpp:44</a></div></div>
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