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+<a href="_move_transpose_up_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2020 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 &quot;<a class="code" href="_optimization_8hpp.xhtml">Optimization.hpp</a>&quot;</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="_transpose_8hpp.xhtml">armnnUtils/Transpose.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="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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="keyword">namespace </span>optimizations</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"><a class="line" href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml">   15</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml">MoveTransposeUpImpl</a></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">public</span>:<span class="comment"></span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment">    /// Run for every connection between a base Layer (any) and a child TransposeLayer. If the type</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment">    /// of the base layer allows it, it moves the permutation to the inputs of the base layer.</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment">    /// I.e., adds equivalent permutations before the inputs of the base layer and moves the</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment">    /// connections in the output of the child transpose layer to the output of the base layer.</span></div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml#a5a8476ffc04ce7460bb09ad50d1d23de">   22</a></span>&#160;<span class="comment"></span>    <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml#a5a8476ffc04ce7460bb09ad50d1d23de">Run</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>&amp; graph, <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>&amp; connection)<span class="keyword"> const</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;        <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>&amp; baseOutput = *connection.<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>();</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;        <span class="keywordflow">if</span> (baseOutput.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>() == 1U)</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;        {</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;            <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>&amp; base = baseOutput.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;            <span class="keywordflow">if</span> (CanMoveTransposeToInputs(base))</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">auto</span> transpose = boost::polymorphic_downcast&lt;TransposeLayer*&gt;(&amp;connection.<a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>());</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;                <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a>&amp; perm = transpose-&gt;GetPermutation();</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;                <span class="comment">// Inserts an equivalent transpose before every input of the base layer.</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;                <span class="keywordflow">for</span> (<span class="keyword">auto</span> baseInput = base.<a class="code" href="classarmnn_1_1_layer.xhtml#af6cb8de21ef0da269ec9b67755ae92a0">BeginInputSlots</a>(); baseInput != base.<a class="code" href="classarmnn_1_1_layer.xhtml#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a>(); ++baseInput)</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;                {</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;                    <span class="comment">// Inserts a new transpose layer.</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;                    <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">&quot;moved_up-&quot;</span>) + transpose-&gt;GetName();</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;                    <a class="code" href="classarmnn_1_1_transpose_layer.xhtml">TransposeLayer</a>&amp; permLayer = *graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a3ff30c6669fdc69de1f5be1f89bacc3f">InsertNewLayer</a>&lt;<a class="code" href="classarmnn_1_1_transpose_layer.xhtml">TransposeLayer</a>&gt;(*baseInput, perm, name.c_str());</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;                    <span class="comment">// Sets output tensor info for the new layer.</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;                    <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>&amp; parentOutput = *permLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>();</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;                    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> permOutInfo = <a class="code" href="namespacearmnn_utils.xhtml#a428a9a6ffdf0e8d723b50c038c56c336">armnnUtils::TransposeTensorShape</a>(parentOutput.GetTensorInfo(), perm);</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;                    permLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(permOutInfo);</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;                }</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;                <span class="comment">// Sets transposed output tensor info</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;                <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; childOutInfo = transpose-&gt;GetOutputHandler().GetTensorInfo();</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;                base.<a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(childOutInfo);</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="comment">// Bypasses transpose. It will be removed as it&#39;s left unconnected.</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;                transpose-&gt;GetOutputSlot().MoveAllConnections(base.<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</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;        }</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    }</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="keyword">protected</span>:</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <a class="code" href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml#a742678831654006eaaf7fceee1ca27eb">MoveTransposeUpImpl</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <a class="code" href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml#a6cd12b4da17cd5dad1fcf455079b290a">~MoveTransposeUpImpl</a>() = <span class="keywordflow">default</span>;</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="keyword">private</span>:</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">bool</span> CanMoveTransposeToInputs(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>&amp; base)</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    {</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        <span class="keywordflow">switch</span> (base.<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</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="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>:</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>:</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">LayerType::FakeQuantization</a>:</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>:</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>:</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>:</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;            <span class="keywordflow">default</span>:</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</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;};</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.xhtml#a5918588fa316cf4c23f1cf02c81ee706">   80</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarmnn_1_1_optimize_for_connection.xhtml">MoveTransposeUp</a> = <a class="code" href="classarmnn_1_1_optimize_for_connection.xhtml">OptimizeForConnection&lt;Layer, TransposeLayer, MoveTransposeUpImpl&gt;</a>;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;} <span class="comment">// namespace optimizations</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a9752e12d6b79e18da1a25f76159d2a72"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a9752e12d6b79e18da1a25f76159d2a72">armnn::Layer::EndInputSlots</a></div><div class="ttdeci">std::vector&lt; InputSlot &gt;::iterator EndInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00236">Layer.hpp:236</a></div></div>
+<div class="ttc" id="_transpose_8hpp_xhtml"><div class="ttname"><a href="_transpose_8hpp.xhtml">Transpose.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1optimizations_1_1_move_transpose_up_impl_xhtml_a742678831654006eaaf7fceee1ca27eb"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml#a742678831654006eaaf7fceee1ca27eb">armnn::optimizations::MoveTransposeUpImpl::MoveTransposeUpImpl</a></div><div class="ttdeci">MoveTransposeUpImpl()=default</div></div>
+<div class="ttc" id="classarmnn_1_1optimizations_1_1_move_transpose_up_impl_xhtml"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml">armnn::optimizations::MoveTransposeUpImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_move_transpose_up_8hpp_source.xhtml#l00015">MoveTransposeUp.hpp:15</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</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_output_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer &amp; GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00115">Layer.hpp:115</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div></div>
+<div class="ttc" id="classarmnn_1_1_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml">armnn::InputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00041">Layer.hpp:41</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_xhtml_af6cb8de21ef0da269ec9b67755ae92a0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af6cb8de21ef0da269ec9b67755ae92a0">armnn::Layer::BeginInputSlots</a></div><div class="ttdeci">std::vector&lt; InputSlot &gt;::iterator BeginInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00235">Layer.hpp:235</a></div></div>
+<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a25b0119c02aece1d341b99953d169c0f"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a25b0119c02aece1d341b99953d169c0f">armnn::OutputSlot::GetNumConnections</a></div><div class="ttdeci">unsigned int GetNumConnections() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00138">Layer.hpp:138</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00310">Layer.hpp:310</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div></div>
+<div class="ttc" id="classarmnn_1_1_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00083">Layer.hpp:83</a></div></div>
+<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00055">Layer.hpp:55</a></div></div>
+<div class="ttc" id="classarmnn_1_1optimizations_1_1_move_transpose_up_impl_xhtml_a6cd12b4da17cd5dad1fcf455079b290a"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml#a6cd12b4da17cd5dad1fcf455079b290a">armnn::optimizations::MoveTransposeUpImpl::~MoveTransposeUpImpl</a></div><div class="ttdeci">~MoveTransposeUpImpl()=default</div></div>
+<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::InputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer &amp; GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00052">Layer.hpp:52</a></div></div>
+<div class="ttc" id="classarmnn_1_1_optimize_for_connection_xhtml"><div class="ttname"><a href="classarmnn_1_1_optimize_for_connection.xhtml">armnn::OptimizeForConnection</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.xhtml#l00116">Optimization.hpp:116</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div>
+<div class="ttc" id="classarmnn_1_1_permutation_vector_xhtml"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00173">Types.hpp:173</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_transpose_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_transpose_layer.xhtml">armnn::TransposeLayer</a></div><div class="ttdoc">This layer represents a transpose operation. </div><div class="ttdef"><b>Definition:</b> <a href="_transpose_layer_8hpp_source.xhtml#l00013">TransposeLayer.hpp:13</a></div></div>
+<div class="ttc" id="classarmnn_1_1_output_handler_xhtml_a97db12c41024f5545ef5cc4153e5443b"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">armnn::OutputHandler::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &amp;tensorInfo)</div><div class="ttdoc">Sets the TensorInfo used by this output handler. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.xhtml#l00017">OutputHandler.cpp:17</a></div></div>
+<div class="ttc" id="classarmnn_1_1optimizations_1_1_move_transpose_up_impl_xhtml_a5a8476ffc04ce7460bb09ad50d1d23de"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_move_transpose_up_impl.xhtml#a5a8476ffc04ce7460bb09ad50d1d23de">armnn::optimizations::MoveTransposeUpImpl::Run</a></div><div class="ttdeci">void Run(Graph &amp;graph, InputSlot &amp;connection) const</div><div class="ttdoc">Run for every connection between a base Layer (any) and a child TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_move_transpose_up_8hpp_source.xhtml#l00022">MoveTransposeUp.hpp:22</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="classarmnn_1_1_layer_xhtml_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00259">Layer.hpp:259</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00312">Layer.hpp:312</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_xhtml_a428a9a6ffdf0e8d723b50c038c56c336"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a428a9a6ffdf0e8d723b50c038c56c336">armnnUtils::TransposeTensorShape</a></div><div class="ttdeci">armnn::TensorShape TransposeTensorShape(const armnn::TensorShape &amp;srcShape, const armnn::PermutationVector &amp;mappings)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_utils_2_transpose_8cpp_source.xhtml#l00098">Transpose.cpp:98</a></div></div>
+<div class="ttc" id="_optimization_8hpp_xhtml"><div class="ttname"><a href="_optimization_8hpp.xhtml">Optimization.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_graph_xhtml_a3ff30c6669fdc69de1f5be1f89bacc3f"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a3ff30c6669fdc69de1f5be1f89bacc3f">armnn::Graph::InsertNewLayer</a></div><div class="ttdeci">LayerT * InsertNewLayer(InputSlot &amp;insertBefore, Args &amp;&amp;... args)</div><div class="ttdoc">Inserts a new layer between the output slot currently connected to insertBefore and insertBefore itse...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00409">Graph.hpp:409</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>
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+    <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="dir_5bee762cfd03f62aa80233ed05f1bfdf.xhtml">optimizations</a></li><li class="navelem"><a class="el" href="_move_transpose_up_8hpp.xhtml">MoveTransposeUp.hpp</a></li>
+    <li class="footer">Generated on Fri Mar 13 2020 16:09:08 for ArmNN by
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