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| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-08 20:01:38 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-09 12:26:14 +0000 |
| commit | f4019872c1134c6fcc1d6993e5746f55c1e79208 (patch) | |
| tree | b07ea8bdd70d696adfa3814344e210ea67be1e8c /22.02/namespacearmnn_1_1optimizations_1_1pad__fold.xhtml | |
| parent | 0d75c02b21b919b81035205f3914ee273b93b30c (diff) | |
| download | armnn-f4019872c1134c6fcc1d6993e5746f55c1e79208.tar.gz | |
IVGCVSW-6819 Fix the directory structure and broken link to latest docu
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I05b559d15faf92c76ff536719693b361316be4f3
Diffstat (limited to '22.02/namespacearmnn_1_1optimizations_1_1pad__fold.xhtml')
| -rw-r--r-- | 22.02/namespacearmnn_1_1optimizations_1_1pad__fold.xhtml | 481 |
1 files changed, 481 insertions, 0 deletions
diff --git a/22.02/namespacearmnn_1_1optimizations_1_1pad__fold.xhtml b/22.02/namespacearmnn_1_1optimizations_1_1pad__fold.xhtml new file mode 100644 index 0000000000..e4830f5755 --- /dev/null +++ b/22.02/namespacearmnn_1_1optimizations_1_1pad__fold.xhtml @@ -0,0 +1,481 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://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 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: armnn::optimizations::pad_fold Namespace Reference</title> +<link href="tabs.css" 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href="#nested-classes">Classes</a> | +<a href="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">armnn::optimizations::pad_fold Namespace Reference</div> </div> +</div><!--header--> +<div class="contents"> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a> +Classes</h2></td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1pad__fold_1_1_fold_pad_into_convolution2d_impl.xhtml">FoldPadIntoConvolution2dImpl</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1pad__fold_1_1_fold_pad_into_depthwise_convolution2d_impl.xhtml">FoldPadIntoDepthwiseConvolution2dImpl</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1pad__fold_1_1_fold_pad_into_pooling2d_impl.xhtml">FoldPadIntoPooling2dImpl</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a41605a45fe3f148071b04c7d861f391f"><td class="memItemLeft" align="right" valign="top">float </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a41605a45fe3f148071b04c7d861f391f">GetZeroElement</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo)</td></tr> +<tr class="separator:a41605a45fe3f148071b04c7d861f391f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1112c7c010be092e8d2478e5268666de"><td class="memItemLeft" align="right" valign="top">float </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a1112c7c010be092e8d2478e5268666de">GetLowestElement</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo)</td></tr> +<tr class="separator:a1112c7c010be092e8d2478e5268666de"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aef8fbdfbe08862db57b8ea6e09d84bce"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#aef8fbdfbe08862db57b8ea6e09d84bce">IsNeutralElement</a> (const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> &, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo, const float tensorValue)</td></tr> +<tr class="separator:aef8fbdfbe08862db57b8ea6e09d84bce"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9c5795e478ba9afc068c645f3ac72ca5"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a9c5795e478ba9afc068c645f3ac72ca5">IsNeutralElement</a> (const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> &, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo, const float tensorValue)</td></tr> +<tr class="separator:a9c5795e478ba9afc068c645f3ac72ca5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a860dc7bc83a72db266ef5d6759686d24"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a860dc7bc83a72db266ef5d6759686d24">IsNeutralElement</a> (const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> &descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo, const float tensorValue)</td></tr> +<tr class="separator:a860dc7bc83a72db266ef5d6759686d24"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a33ffc65d1f6581b0789d3d3a033f698e"><td class="memTemplParams" colspan="2">template<typename Descriptor > </td></tr> +<tr class="memitem:a33ffc65d1f6581b0789d3d3a033f698e"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a33ffc65d1f6581b0789d3d3a033f698e">TryFoldPadIntoLayer2d</a> (const <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> &padDescriptor, Descriptor &layerDescriptor, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo)</td></tr> +<tr class="separator:a33ffc65d1f6581b0789d3d3a033f698e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8a58ef2467a1ca6abe879a67ac7d113d"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a8a58ef2467a1ca6abe879a67ac7d113d">TryFoldPadIntoLayer2d</a> (const <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> &padDescriptor, <a class="el" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> &poolDescriptor, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo)</td></tr> +<tr class="separator:a8a58ef2467a1ca6abe879a67ac7d113d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0dfb192db7209941d02bba0bd904822e"><td class="memTemplParams" colspan="2">template<typename Layer2dT > </td></tr> +<tr class="memitem:a0dfb192db7209941d02bba0bd904822e"><td class="memTemplItemLeft" align="right" valign="top">Layer2dT * </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a0dfb192db7209941d02bba0bd904822e">FoldPadIntoLayer2dImpl</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &graph, <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> &connection)</td></tr> +<tr class="separator:a0dfb192db7209941d02bba0bd904822e"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a0dfb192db7209941d02bba0bd904822e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0dfb192db7209941d02bba0bd904822e">◆ </a></span>FoldPadIntoLayer2dImpl()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">Layer2dT* armnn::optimizations::pad_fold::FoldPadIntoLayer2dImpl </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.xhtml">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_input_slot.xhtml">InputSlot</a> & </td> + <td class="paramname"><em>connection</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00129">129</a> of file <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml">FoldPadIntoLayer2d.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_8hpp_source.xhtml#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00321">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00316">Layer::GetName()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00323">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00053">InputSlot::GetOwningLayer()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00118">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00018">LayerWithParameters< Parameters >::GetParameters()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00066">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00434">Graph::InsertNewLayer()</a>, and <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00077">TryFoldPadIntoLayer2d()</a>.</p> +<div class="fragment"><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  PadLayer& padLayer = *PolymorphicDowncast<PadLayer*>(&connection.GetConnectedOutputSlot()->GetOwningLayer());</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  Layer2dT& layer2d = *PolymorphicDowncast<Layer2dT*>(&connection.GetOwningLayer());</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">const</span> PadDescriptor& padDescriptor = padLayer.GetParameters();</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">auto</span> newLayer2dDescriptor = layer2d.GetParameters();</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a8a58ef2467a1ca6abe879a67ac7d113d">TryFoldPadIntoLayer2d</a>(padDescriptor, newLayer2dDescriptor, padLayer.GetOutputSlot().GetTensorInfo()))</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// Save original parent output slot of the pad layer</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  OutputSlot& parentSlot = *padLayer.GetInputSlot(0).GetConnectedOutputSlot();</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Insert new layer2d layer between the pad layer an its parent layer.</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"folded-"</span>) + padLayer.GetName() + <span class="stringliteral">"-into-"</span> + layer2d.GetName();</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">auto</span>& newLayer2d = *graph.InsertNewLayer<Layer2dT>(padLayer.GetInputSlot(0), newLayer2dDescriptor, name.c_str());</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// Reconnect the pad layer with its original parent.</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  newLayer2d.GetOutputSlot().MoveAllConnections(parentSlot);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// Moves connections in old layer2d layer output to new layer.</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Old layer2d layer will be removed as it's left unconnected.</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Pad layer will be removed if left unconnected.</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  layer2d.GetOutputSlot().MoveAllConnections(newLayer2d.GetOutputSlot());</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">return</span> &newLayer2d;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div><div class="ttc" id="namespacearmnn_1_1optimizations_1_1pad__fold_xhtml_a8a58ef2467a1ca6abe879a67ac7d113d"><div class="ttname"><a href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a8a58ef2467a1ca6abe879a67ac7d113d">armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d</a></div><div class="ttdeci">bool TryFoldPadIntoLayer2d(const PadDescriptor &padDescriptor, Pooling2dDescriptor &poolDescriptor, const TensorInfo &tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00104">FoldPadIntoLayer2d.hpp:104</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a1112c7c010be092e8d2478e5268666de"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1112c7c010be092e8d2478e5268666de">◆ </a></span>GetLowestElement()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">float armnn::optimizations::pad_fold::GetLowestElement </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em></td><td>)</td> + <td></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 class="definition">Definition at line <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00026">26</a> of file <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml">FoldPadIntoLayer2d.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00015">ARMNN_ASSERT_MSG</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00480">TensorInfo::GetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00463">TensorInfo::GetQuantizationScale()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00068">IsNeutralElement()</a>.</p> +<div class="fragment"><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> {</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  constexpr <span class="keywordtype">float</span> negativeInfinity = -std::numeric_limits<float>::infinity();</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale = tensorInfo.GetQuantizationScale();</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> int32_t offset = tensorInfo.GetQuantizationOffset();</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">switch</span> (tensorInfo.GetDataType())</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="keywordflow">case</span> DataType::Float16:</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">return</span> armnnUtils::SelectiveQuantize<armnn::Half>(negativeInfinity, scale, offset);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">case</span> DataType::Float32:</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">return</span> armnnUtils::SelectiveQuantize<float>(negativeInfinity, scale, offset);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">case</span> DataType::QAsymmU8:</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">return</span> armnnUtils::SelectiveQuantize<uint8_t>(negativeInfinity, scale, offset);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">case</span> DataType::QSymmS16:</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> armnnUtils::SelectiveQuantize<int16_t>(negativeInfinity, scale, offset);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">case</span> DataType::QSymmS8:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">// Fall-through</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">case</span> DataType::QAsymmS8:</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> armnnUtils::SelectiveQuantize<int8_t>(negativeInfinity, scale, offset);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">case</span> DataType::BFloat16:</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">return</span> armnnUtils::SelectiveQuantize<armnn::BFloat16>(negativeInfinity, scale, offset);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">"Unsupported DataType"</span>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> NAN;</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>  }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> }</div><div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a41605a45fe3f148071b04c7d861f391f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a41605a45fe3f148071b04c7d861f391f">◆ </a></span>GetZeroElement()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">float armnn::optimizations::pad_fold::GetZeroElement </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em></td><td>)</td> + <td></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 class="definition">Definition at line <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00021">21</a> of file <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml">FoldPadIntoLayer2d.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00480">TensorInfo::GetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00506">TensorInfo::IsQuantized()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00056">IsNeutralElement()</a>.</p> +<div class="fragment"><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(tensorInfo.IsQuantized() ? tensorInfo.GetQuantizationOffset() : 0);</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aef8fbdfbe08862db57b8ea6e09d84bce"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aef8fbdfbe08862db57b8ea6e09d84bce">◆ </a></span>IsNeutralElement() <span class="overload">[1/3]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn::optimizations::pad_fold::IsNeutralElement </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> & </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const float </td> + <td class="paramname"><em>tensorValue</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></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 class="definition">Definition at line <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00056">56</a> of file <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml">FoldPadIntoLayer2d.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00021">GetZeroElement()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00077">TryFoldPadIntoLayer2d()</a>.</p> +<div class="fragment"><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>  <span class="keywordflow">return</span> tensorValue == <a class="code" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a41605a45fe3f148071b04c7d861f391f">GetZeroElement</a>(tensorInfo);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div><div class="ttc" id="namespacearmnn_1_1optimizations_1_1pad__fold_xhtml_a41605a45fe3f148071b04c7d861f391f"><div class="ttname"><a href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a41605a45fe3f148071b04c7d861f391f">armnn::optimizations::pad_fold::GetZeroElement</a></div><div class="ttdeci">float GetZeroElement(const TensorInfo &tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00021">FoldPadIntoLayer2d.hpp:21</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9c5795e478ba9afc068c645f3ac72ca5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9c5795e478ba9afc068c645f3ac72ca5">◆ </a></span>IsNeutralElement() <span class="overload">[2/3]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn::optimizations::pad_fold::IsNeutralElement </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> & </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const float </td> + <td class="paramname"><em>tensorValue</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></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 class="definition">Definition at line <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00061">61</a> of file <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml">FoldPadIntoLayer2d.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00021">GetZeroElement()</a>.</p> +<div class="fragment"><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">return</span> tensorValue == <a class="code" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a41605a45fe3f148071b04c7d861f391f">GetZeroElement</a>(tensorInfo);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div><div class="ttc" id="namespacearmnn_1_1optimizations_1_1pad__fold_xhtml_a41605a45fe3f148071b04c7d861f391f"><div class="ttname"><a href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a41605a45fe3f148071b04c7d861f391f">armnn::optimizations::pad_fold::GetZeroElement</a></div><div class="ttdeci">float GetZeroElement(const TensorInfo &tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00021">FoldPadIntoLayer2d.hpp:21</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a860dc7bc83a72db266ef5d6759686d24"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a860dc7bc83a72db266ef5d6759686d24">◆ </a></span>IsNeutralElement() <span class="overload">[3/3]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn::optimizations::pad_fold::IsNeutralElement </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const float </td> + <td class="paramname"><em>tensorValue</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></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 class="definition">Definition at line <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00068">68</a> of file <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml">FoldPadIntoLayer2d.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00026">GetLowestElement()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00021">GetZeroElement()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00366">Pooling2dDescriptor::m_PoolType</a>, and <a class="el" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>.</p> +<div class="fragment"><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> (descriptor.m_PoolType == PoolingAlgorithm::Max)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  ? tensorValue <= <a class="code" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a1112c7c010be092e8d2478e5268666de">GetLowestElement</a>(tensorInfo)</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  : tensorValue == <a class="code" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a41605a45fe3f148071b04c7d861f391f">GetZeroElement</a>(tensorInfo);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> }</div><div class="ttc" id="namespacearmnn_1_1optimizations_1_1pad__fold_xhtml_a41605a45fe3f148071b04c7d861f391f"><div class="ttname"><a href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a41605a45fe3f148071b04c7d861f391f">armnn::optimizations::pad_fold::GetZeroElement</a></div><div class="ttdeci">float GetZeroElement(const TensorInfo &tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00021">FoldPadIntoLayer2d.hpp:21</a></div></div> +<div class="ttc" id="namespacearmnn_1_1optimizations_1_1pad__fold_xhtml_a1112c7c010be092e8d2478e5268666de"><div class="ttname"><a href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a1112c7c010be092e8d2478e5268666de">armnn::optimizations::pad_fold::GetLowestElement</a></div><div class="ttdeci">float GetLowestElement(const TensorInfo &tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00026">FoldPadIntoLayer2d.hpp:26</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a33ffc65d1f6581b0789d3d3a033f698e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a33ffc65d1f6581b0789d3d3a033f698e">◆ </a></span>TryFoldPadIntoLayer2d() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> & </td> + <td class="paramname"><em>padDescriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">Descriptor & </td> + <td class="paramname"><em>layerDescriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00077">77</a> of file <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml">FoldPadIntoLayer2d.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_data_layout_indexed_8hpp_source.xhtml#l00023">DataLayoutIndexed::GetChannelsIndex()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.xhtml#l00024">DataLayoutIndexed::GetHeightIndex()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.xhtml#l00025">DataLayoutIndexed::GetWidthIndex()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00056">IsNeutralElement()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01170">PadDescriptor::m_PadList</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l01173">PadDescriptor::m_PadValue</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00129">FoldPadIntoLayer2dImpl()</a>.</p> +<div class="fragment"><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>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">armnnUtils::DataLayoutIndexed</a> layout = <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">armnnUtils::DataLayoutIndexed</a>(layerDescriptor.m_DataLayout);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchIndex = 0;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  constexpr <span class="keyword">auto</span> noPad = std::make_pair(0U, 0U);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">if</span> ((!<a class="code" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a860dc7bc83a72db266ef5d6759686d24">IsNeutralElement</a>(layerDescriptor, tensorInfo, padDescriptor.m_PadValue)) ||</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  (padDescriptor.m_PadList[batchIndex] != noPad) || (padDescriptor.m_PadList[layout.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a861b2621ee46e4b63379988b360b8cd9">GetChannelsIndex</a>()] != noPad))</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& padList = padDescriptor.m_PadList;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// In Convolution2dDescriptor/Pooling2dDescriptor, padLeft and padRight are defined as paddings</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// on width dimension whereas padTop and padBottom - paddings on height dimension, so updating</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// these according to data layout</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  layerDescriptor.m_PadLeft += padList[layout.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a>()].first;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  layerDescriptor.m_PadRight += padList[layout.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a>()].second;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  layerDescriptor.m_PadTop += padList[layout.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a>()].first;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  layerDescriptor.m_PadBottom += padList[layout.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a>()].second;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> }</div><div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_xhtml_a414e6f95548e6f7a01d5028b55ad3941"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a414e6f95548e6f7a01d5028b55ad3941">armnnUtils::DataLayoutIndexed::GetWidthIndex</a></div><div class="ttdeci">unsigned int GetWidthIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00025">DataLayoutIndexed.hpp:25</a></div></div> +<div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_xhtml_a61c00316c443adc233c24e85c6c5b740"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a61c00316c443adc233c24e85c6c5b740">armnnUtils::DataLayoutIndexed::GetHeightIndex</a></div><div class="ttdeci">unsigned int GetHeightIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00024">DataLayoutIndexed.hpp:24</a></div></div> +<div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_xhtml"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml">armnnUtils::DataLayoutIndexed</a></div><div class="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00017">DataLayoutIndexed.hpp:17</a></div></div> +<div class="ttc" id="namespacearmnn_1_1optimizations_1_1pad__fold_xhtml_a860dc7bc83a72db266ef5d6759686d24"><div class="ttname"><a href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml#a860dc7bc83a72db266ef5d6759686d24">armnn::optimizations::pad_fold::IsNeutralElement</a></div><div class="ttdeci">bool IsNeutralElement(const Pooling2dDescriptor &descriptor, const TensorInfo &tensorInfo, const float tensorValue)</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00068">FoldPadIntoLayer2d.hpp:68</a></div></div> +<div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_xhtml_a861b2621ee46e4b63379988b360b8cd9"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a861b2621ee46e4b63379988b360b8cd9">armnnUtils::DataLayoutIndexed::GetChannelsIndex</a></div><div class="ttdeci">unsigned int GetChannelsIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00023">DataLayoutIndexed.hpp:23</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a8a58ef2467a1ca6abe879a67ac7d113d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8a58ef2467a1ca6abe879a67ac7d113d">◆ </a></span>TryFoldPadIntoLayer2d() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> & </td> + <td class="paramname"><em>padDescriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> & </td> + <td class="paramname"><em>poolDescriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></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 class="definition">Definition at line <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00104">104</a> of file <a class="el" href="_fold_pad_into_layer2d_8hpp_source.xhtml">FoldPadIntoLayer2d.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6">armnn::Exclude</a>, <a class="el" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2faad301514192636ad34210adce598a45a">armnn::IgnoreValue</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00374">Pooling2dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00386">Pooling2dDescriptor::m_PaddingMethod</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00368">Pooling2dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00370">Pooling2dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00372">Pooling2dDescriptor::m_PadTop</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00366">Pooling2dDescriptor::m_PoolType</a>, and <a class="el" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>.</p> +<div class="fragment"><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">const</span> <span class="keyword">auto</span> poolingPadValues = std::make_tuple(poolDescriptor.m_PadLeft, poolDescriptor.m_PadRight,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  poolDescriptor.m_PadTop, poolDescriptor.m_PadBottom);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">bool</span> poolHasPadding = <span class="keyword">false</span>;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">if</span> (poolingPadValues != std::make_tuple(0U, 0U, 0U, 0U))</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  poolHasPadding = <span class="keyword">true</span>;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// We cannot fold Average or L2 pooling if there's is already padding and that padding method is Exclude.</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">if</span> (poolDescriptor.m_PoolType != PoolingAlgorithm::Max) <span class="comment">// PoolingAlgorithm::Average or PoolingAlgorithm::L2</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">if</span> ((poolHasPadding) && (poolDescriptor.m_PaddingMethod == PaddingMethod::Exclude))</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  poolDescriptor.m_PaddingMethod = PaddingMethod::IgnoreValue;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">return</span> TryFoldPadIntoLayer2d<Pooling2dDescriptor>(padDescriptor, poolDescriptor, tensorInfo);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> }</div></div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="namespacearmnn_1_1optimizations.xhtml">optimizations</a></li><li class="navelem"><a class="el" href="namespacearmnn_1_1optimizations_1_1pad__fold.xhtml">pad_fold</a></li> + <li class="footer">Generated on Wed Mar 9 2022 12:01:25 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |