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authorNikhil Raj <nikhil.raj@arm.com>2023-08-22 12:00:04 +0100
committerNikhil Raj <nikhil.raj@arm.com>2023-08-22 12:00:04 +0100
commit03c7ff3f6188240baaeaeb405a357a0c58195fec (patch)
treeccfcd5b3481c1a48f2b2c588038e010c09fdfb5f /latest/_permute_and_batch_to_space_as_depth_to_space_8hpp_source.html
parent8efb48a6847c5cd166c561127ae6611150963ce3 (diff)
downloadarmnn-03c7ff3f6188240baaeaeb405a357a0c58195fec.tar.gz
IVGCVSW-7702 Update Doxygen Docu for 23.08
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I357a9f7e47614589327c1ac5d95b6224ff77103d
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+<div class="title">PermuteAndBatchToSpaceAsDepthToSpace.hpp</div> </div>
+</div><!--header-->
+<div class="contents">
+<a href="_permute_and_batch_to_space_as_depth_to_space_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 © 2019-2020,2023 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.html">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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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>optimizations</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="comment"></span> </div>
+<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment">/// Replaces Permute leading into BatchToSpace with a DepthToSpace</span></div>
+<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment">/// in the case where the Permute swaps the batch and channels dimensions</span></div>
+<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment">/// such that the replacement is valid.</span></div>
+<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> PermuteType&gt;</div>
+<div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html"> 18</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html">PermuteAndBatchToSpaceAsDepthToSpaceImpl</a></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">public</span>:</div>
+<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html#a5a8476ffc04ce7460bb09ad50d1d23de"> 21</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html#a5a8476ffc04ce7460bb09ad50d1d23de">Run</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>&amp; graph, <a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>&amp; connection)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="comment">// Validate base layer (the Permute) is compatible</span></div>
+<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; base = connection.<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-&gt;<a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
+<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a> || base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>);</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_info.html">TensorInfo</a>&amp; inputInfo = base.<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; intermediateInfo = base.<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div>
+<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keywordflow">if</span> (intermediateInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != 4)</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="comment">// Must be 4D, otherwise the below checks do not make sense</span></div>
+<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; }</div>
+<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keywordflow">if</span> (!<span class="keyword">static_cast&lt;</span>PermuteType&amp;<span class="keyword">&gt;</span>(base).GetParameters().m_DimMappings.IsEqual(<a class="code" href="classarmnn_1_1_permutation_vector.html">PermutationVector</a>{ 3, 1, 2, 0 }))</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">// Must swap batch and channels dimensions, otherwise it is not the (original) channels dimension</span></div>
+<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="comment">// that is being decomposed.</span></div>
+<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">return</span>;</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; </div>
+<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="comment">// Validate child layer (the BatchToSpace) is compatible</span></div>
+<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; child = connection.<a class="code" href="classarmnn_1_1_input_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
+<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(child.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>);</div>
+<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputInfo = child.<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div>
+<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a>&amp; batchToSpaceDesc = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">BatchToSpaceNdLayer</a>&amp;<span class="keyword">&gt;</span>(child).GetParameters();</div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordflow">if</span> (batchToSpaceDesc.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> != <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>)</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; <span class="comment">// The rest of this function assumes NHWC, although in future this restriction could be lifted.</span></div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordflow">return</span>;</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; <span class="keywordflow">if</span> (batchToSpaceDesc.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a> != std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt;{ { 0, 0 }, { 0, 0 } })</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">// Cropping is not supported in DepthToSpace</span></div>
+<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">return</span>;</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; <span class="keywordflow">if</span> (batchToSpaceDesc.m_BlockShape.size() != 2 ||</div>
+<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; batchToSpaceDesc.m_BlockShape[0] != batchToSpaceDesc.m_BlockShape[1])</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="comment">// Asymmetric or non-2D block sizes are not supported by DepthToSpace</span></div>
+<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">return</span>;</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; uint32_t blockSize = batchToSpaceDesc.m_BlockShape[0];</div>
+<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordflow">if</span> (outputInfo.GetShape()[0] != 1 || outputInfo.GetShape()[3] != 1)</div>
+<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; {</div>
+<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="comment">// The final output must have 1 batch and 1 channel because these dimensions will be swapped around</span></div>
+<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// once we make the substitution, and it needs to be equivalent.</span></div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; }</div>
+<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; </div>
+<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="comment">// Validate the intermediate tensor quantization params.</span></div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="comment">// These must be identical to either the input or output quantization params, otherwise the intermediate tensor</span></div>
+<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="comment">// may not have sufficient range/precision to preserve the values.</span></div>
+<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="comment">// This would mean that once we perform the substitution this loss of precision will no longer occur,</span></div>
+<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="comment">// so we would have changed the meaning of the network.</span></div>
+<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordtype">bool</span> isIntermediateQuantParamsSameAsInput =</div>
+<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; intermediateInfo.GetQuantizationScale() == inputInfo.GetQuantizationScale() &amp;&amp;</div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; intermediateInfo.GetQuantizationOffset() == inputInfo.GetQuantizationOffset();</div>
+<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordtype">bool</span> isIntermediateQuantParamsSameAsOutput =</div>
+<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; intermediateInfo.GetQuantizationScale() == outputInfo.GetQuantizationScale() &amp;&amp;</div>
+<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; intermediateInfo.GetQuantizationOffset() == outputInfo.GetQuantizationOffset();</div>
+<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">if</span> (!isIntermediateQuantParamsSameAsInput &amp;&amp; !isIntermediateQuantParamsSameAsOutput)</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="keywordflow">return</span>;</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; </div>
+<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="comment">// Insert equivalent DepthToSpace layer</span></div>
+<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">&quot;merged-&quot;</span>) + base.<a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>() + std::string(<span class="stringliteral">&quot;-with-&quot;</span>) + child.GetName();</div>
+<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; </div>
+<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="comment">// Inserts equivalent reshape before base layer.</span></div>
+<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> depthToSpaceDesc(blockSize, <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>);</div>
+<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keyword">auto</span>&amp; depthToSpace = *graph.InsertNewLayer&lt;DepthToSpaceLayer&gt;(base.GetInputSlot(0),</div>
+<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; depthToSpaceDesc,</div>
+<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; name.c_str());</div>
+<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; </div>
+<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="comment">// Moves connections from child output to new layer.</span></div>
+<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="comment">// Child layer will be removed as it&#39;s left unconnected.</span></div>
+<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">// Base layer will be removed if left unconnected.</span></div>
+<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; child.GetOutputSlot().MoveAllConnections(depthToSpace.GetOutputSlot());</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;};</div>
+<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; </div>
+<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearmnn_1_1optimizations.html#a17d1279f5f8e3b92c328b1ed3b6fd549">PermuteAndBatchToSpaceAsDepthToSpace</a> = OptimizeForConnection&lt;PermuteLayer, BatchToSpaceNdLayer,</div>
+<div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.html#a17d1279f5f8e3b92c328b1ed3b6fd549"> 102</a></span>&#160; <a class="code" href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html">PermuteAndBatchToSpaceAsDepthToSpaceImpl&lt;PermuteLayer&gt;</a>&gt;;</div>
+<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;<span class="keyword">using</span> <a class="code" href="classarmnn_1_1_optimize_for_connection.html">TransposeAndBatchToSpaceAsDepthToSpace</a> = <a class="code" href="classarmnn_1_1_optimize_for_connection.html">OptimizeForConnection</a>&lt;<a class="code" href="classarmnn_1_1_transpose_layer.html">TransposeLayer</a>, <a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">BatchToSpaceNdLayer</a>,</div>
+<div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.html#a98f54d4391347d517c7a7869e7707203"> 104</a></span>&#160; <a class="code" href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html">PermuteAndBatchToSpaceAsDepthToSpaceImpl&lt;TransposeLayer&gt;</a>&gt;;</div>
+<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;} <span class="comment">// namespace optimizations</span></div>
+<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;} <span class="comment">// namespace armnn</span></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a3647f60510bc8ddaced01c51b0ee8714"><div class="ttname"><a href="namespacearmnn.html#a3647f60510bc8ddaced01c51b0ee8714">armnn::DepthToSpaceDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor DepthToSpaceDescriptor</div><div class="ttdoc">A DepthToSpaceDescriptor for the DepthToSpaceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01078">Descriptors.hpp:1078</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div>
+<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#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.html#l00053">Layer.hpp:53</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00092">Layer.cpp:92</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div><div class="ttdeci">@ NHWC</div></div>
+<div class="ttc" id="aclassarmnn_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#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div><div class="ttdeci">@ Transpose</div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00195">Tensor.hpp:195</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00339">Layer.hpp:339</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl_html_a5a8476ffc04ce7460bb09ad50d1d23de"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html#a5a8476ffc04ce7460bb09ad50d1d23de">armnn::optimizations::PermuteAndBatchToSpaceAsDepthToSpaceImpl::Run</a></div><div class="ttdeci">void Run(Graph &amp;graph, InputSlot &amp;connection) const</div><div class="ttdef"><b>Definition:</b> <a href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.html#l00021">PermuteAndBatchToSpaceAsDepthToSpace.hpp:21</a></div></div>
+<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a17d1279f5f8e3b92c328b1ed3b6fd549"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00102">PermuteAndBatchToSpaceAsDepthToSpace.hpp:102</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_Crops</div><div class="ttdoc">The values to crop from the input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00900">Descriptors.hpp:900</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_batch_to_space_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a></div><div class="ttdoc">This layer represents a BatchToSpaceNd operation.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_to_space_nd_layer_8hpp_source.html#l00013">BatchToSpaceNdLayer.hpp:13</a></div></div>
+<div class="ttc" id="a_optimization_8hpp_html"><div class="ttname"><a href="_optimization_8hpp.html">Optimization.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00337">Layer.hpp:337</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_transpose_layer_html"><div class="ttname"><a href="classarmnn_1_1_transpose_layer.html">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.html#l00015">TransposeLayer.hpp:15</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00132">Layer.hpp:132</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_optimize_for_connection_html"><div class="ttname"><a href="classarmnn_1_1_optimize_for_connection.html">armnn::OptimizeForConnection</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.html#l00118">Optimization.hpp:118</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl_html"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html">armnn::optimizations::PermuteAndBatchToSpaceAsDepthToSpaceImpl</a></div><div class="ttdoc">Replaces Permute leading into BatchToSpace with a DepthToSpace in the case where the Permute swaps th...</div><div class="ttdef"><b>Definition:</b> <a href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.html#l00018">PermuteAndBatchToSpaceAsDepthToSpace.hpp:18</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_permutation_vector_html"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00308">Types.hpp:308</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_input_slot_html"><div class="ttname"><a href="classarmnn_1_1_input_slot.html">armnn::InputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00042">Layer.hpp:42</a></div></div>
+<div class="ttc" id="astructarmnn_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#l00875">Descriptors.hpp:875</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div><div class="ttdeci">@ BatchToSpaceNd</div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00286">Layer.hpp:286</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#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.html#l00056">Layer.hpp:56</a></div></div>
+<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::BatchToSpaceNdDescriptor::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#l00902">Descriptors.hpp:902</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div>
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+ <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.html">armnn</a></li><li class="navelem"><a class="el" href="dir_5bee762cfd03f62aa80233ed05f1bfdf.html">optimizations</a></li><li class="navelem"><a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp.html">PermuteAndBatchToSpaceAsDepthToSpace.hpp</a></li>
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