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| author | Nikhil Raj <nikhil.raj@arm.com> | 2023-08-22 12:00:04 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-08-22 12:00:04 +0100 |
| commit | 03c7ff3f6188240baaeaeb405a357a0c58195fec (patch) | |
| tree | ccfcd5b3481c1a48f2b2c588038e010c09fdfb5f /latest/classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html | |
| parent | 8efb48a6847c5cd166c561127ae6611150963ce3 (diff) | |
| download | armnn-03c7ff3f6188240baaeaeb405a357a0c58195fec.tar.gz | |
IVGCVSW-7702 Update Doxygen Docu for 23.08
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I357a9f7e47614589327c1ac5d95b6224ff77103d
Diffstat (limited to 'latest/classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html')
| -rw-r--r-- | latest/classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html | 293 |
1 files changed, 293 insertions, 0 deletions
diff --git a/latest/classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html b/latest/classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html new file mode 100644 index 0000000000..ab32f81f58 --- /dev/null +++ b/latest/classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html @@ -0,0 +1,293 @@ +<!-- HTML header for doxygen 1.8.17--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.17"/> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>Arm NN: AddBroadcastReshapeLayerImpl Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="customdoxygen.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! 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Add Broadcast reshape layer if the inputs shape are different. <a href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html#aaa2a4663cec52a8aa89a93c7c8317183">More...</a><br /></td></tr> +<tr class="separator:aaa2a4663cec52a8aa89a93c7c8317183"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a> +Protected Member Functions</h2></td></tr> +<tr class="memitem:affc14705fa8863941b09b4df2169165d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html#affc14705fa8863941b09b4df2169165d">AddBroadcastReshapeLayerImpl</a> ()=default</td></tr> +<tr class="separator:affc14705fa8863941b09b4df2169165d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a926b9b2f21335752bc1cad1a2a413b5f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html#a926b9b2f21335752bc1cad1a2a413b5f">~AddBroadcastReshapeLayerImpl</a> ()=default</td></tr> +<tr class="separator:a926b9b2f21335752bc1cad1a2a413b5f"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> +<div class="textblock"> +<p class="definition">Definition at line <a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html#l00023">23</a> of file <a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html">AddBroadcastReshapeLayer.hpp</a>.</p> +</div><h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="affc14705fa8863941b09b4df2169165d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#affc14705fa8863941b09b4df2169165d">◆ </a></span>AddBroadcastReshapeLayerImpl()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html">AddBroadcastReshapeLayerImpl</a> </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a926b9b2f21335752bc1cad1a2a413b5f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a926b9b2f21335752bc1cad1a2a413b5f">◆ </a></span>~AddBroadcastReshapeLayerImpl()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">~<a class="el" href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html">AddBroadcastReshapeLayerImpl</a> </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="aaa2a4663cec52a8aa89a93c7c8317183"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaa2a4663cec52a8aa89a93c7c8317183">◆ </a></span>Run()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void Run </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> & </td> + <td class="paramname"><em>graph</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_layer.html">Layer</a> & </td> + <td class="paramname"><em>layer</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Run for every <a class="el" href="classarmnn_1_1_elementwise_base_layer.html" title="NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement: st...">ElementwiseBaseLayer</a>. Add Broadcast reshape layer if the inputs shape are different. </p> + +<p class="definition">Definition at line <a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html#l00027">27</a> of file <a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html">AddBroadcastReshapeLayer.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">if</span> (std::find(broadcastOps.begin(), broadcastOps.end(), layer.GetType()) != broadcastOps.end())</div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  {</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  layer.GetInputSlot(0).GetConnectedOutputSlot()->IsTensorInfoSet();</div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  layer.GetInputSlot(1).GetConnectedOutputSlot()->IsTensorInfoSet();</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  </div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">const</span> TensorInfo& inputInfo0 = layer.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> TensorInfo& inputInfo1 = layer.GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo();</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  </div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">if</span> (inputInfo0.GetNumDimensions() == inputInfo1.GetNumDimensions())</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  }</div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> reshapeSlot = 1;</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  TensorInfo reshapeInfo = inputInfo1;</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  TensorInfo inputInfo = inputInfo0;</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">if</span> (inputInfo0.GetNumDimensions() < inputInfo1.GetNumDimensions())</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  reshapeSlot = 0;</div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  reshapeInfo = inputInfo0;</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  inputInfo = inputInfo1;</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  </div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  uint32_t numDimensions = inputInfo.GetNumDimensions();</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::vector<unsigned> reshapedDim;</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < reshapeInfo.GetNumDimensions(); ++i)</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  reshapedDim.push_back(reshapeInfo.GetShape()[i]);</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::vector<unsigned int> reshapedDimensions(numDimensions, 1);</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::copy_backward(reshapedDim.begin(), reshapedDim.end(), reshapedDimensions.end());</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  </div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  reshapeInfo.SetShape(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>{ numDimensions, reshapedDimensions.data() });</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  </div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// If the parent layer is a Constant layer and it is only used once we can short circuit by just</span></div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// changing the tensor info rather than adding a reshape layer.</span></div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  Layer& parentLayer = layer.GetInputSlot(reshapeSlot).GetConnectedOutputSlot()->GetOwningLayer();</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">if</span> ((parentLayer.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a>) &&</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  (parentLayer.GetOutputSlot(0).GetNumConnections() == 1))</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  ConstantLayer& constantLayer = <span class="keyword">static_cast<</span>ConstantLayer&<span class="keyword">></span>(parentLayer);</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  </div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  constantLayer.m_LayerOutput = std::make_unique<ScopedTensorHandle>(</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  ConstTensor(reshapeInfo, constantLayer.m_LayerOutput.get()->GetConstTensor<<span class="keywordtype">void</span>>()));</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  constantLayer.GetOutputSlot().SetTensorInfo(reshapeInfo);</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> std::string layerName = <span class="stringliteral">"Reshape_for:"</span> + layer.GetNameStr() + <span class="stringliteral">"-"</span> + std::to_string(reshapeSlot);</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> ReshapeDescriptor descriptor{ reshapeInfo.GetShape() };</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  ReshapeLayer* reshapeLayer =</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  graph.InsertNewLayer<ReshapeLayer>(layer.GetInputSlot(reshapeSlot), descriptor, layerName.c_str());</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  reshapeLayer->GetOutputSlot().SetTensorInfo(reshapeInfo);</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  }</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00240">Layer::GetNameStr()</a>, <a class="el" href="_layer_8hpp_source.html#l00158">OutputSlot::GetNumConnections()</a>, <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00132">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_tensor_8hpp_source.html#l00191">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="_graph_8hpp_source.html#l00471">Graph::InsertNewLayer()</a>, <a class="el" href="_layer_8cpp_source.html#l00097">OutputSlot::IsTensorInfoSet()</a>, <a class="el" href="_constant_layer_8hpp_source.html#l00046">ConstantLayer::m_LayerOutput</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::SetShape()</a>, and <a class="el" href="_layer_8cpp_source.html#l00087">OutputSlot::SetTensorInfo()</a>.</p> + +</div> +</div> +<hr/>The documentation for this class was generated from the following file:<ul> +<li>src/armnn/optimizations/<a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html">AddBroadcastReshapeLayer.hpp</a></li> +</ul> +</div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="aclassarmnn_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="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="namespacearmnn_1_1optimizations.html">optimizations</a></li><li class="navelem"><a class="el" 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