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<div class="title">DataLayoutIndexed.hpp</div> </div>
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<a href="_data_layout_indexed_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2019 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <boost/assert.hpp></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.xhtml"> 13</a></span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_utils.xhtml">armnnUtils</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">/// Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout</span></div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_data_layout_indexed.xhtml"> 17</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">DataLayoutIndexed</a></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#ac9468c3774c559c52844025b8bbb5a97">DataLayoutIndexed</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a7d8b3d755b6ca8f5533657969efb06c4"> 22</a></span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a7d8b3d755b6ca8f5533657969efb06c4">GetDataLayout</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_DataLayout; }</div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a861b2621ee46e4b63379988b360b8cd9"> 23</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a861b2621ee46e4b63379988b360b8cd9">GetChannelsIndex</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_ChannelsIndex; }</div><div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a61c00316c443adc233c24e85c6c5b740"> 24</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_HeightIndex; }</div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a414e6f95548e6f7a01d5028b55ad3941"> 25</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_WidthIndex; }</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a1e25d8623da985a43597b5756c73b206"> 27</a></span>  <span class="keyword">inline</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a1e25d8623da985a43597b5756c73b206">GetIndex</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>& shape,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchIndex, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelIndex,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> heightIndex, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> widthIndex)<span class="keyword"> const</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  BOOST_ASSERT( batchIndex < shape[0] || ( shape[0] == 0 && batchIndex == 0 ) );</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  BOOST_ASSERT( channelIndex < shape[m_ChannelsIndex] ||</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  ( shape[m_ChannelsIndex] == 0 && channelIndex == 0) );</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  BOOST_ASSERT( heightIndex < shape[m_HeightIndex] ||</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  ( shape[m_HeightIndex] == 0 && heightIndex == 0) );</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  BOOST_ASSERT( widthIndex < shape[m_WidthIndex] ||</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  ( shape[m_WidthIndex] == 0 && widthIndex == 0) );</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> /// Offset the given indices appropriately depending on the data layout</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"></span> <span class="keywordflow">switch</span> (m_DataLayout)</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="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  batchIndex *= shape[1] * shape[2] * shape[3]; <span class="comment">// batchIndex *= heightIndex * widthIndex * channelIndex</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  heightIndex *= shape[m_WidthIndex] * shape[m_ChannelsIndex];</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  widthIndex *= shape[m_ChannelsIndex];<span class="comment"></span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> /// channelIndex stays unchanged</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"></span> <span class="keywordflow">break</span>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>:</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  batchIndex *= shape[1] * shape[2] * shape[3]; <span class="comment">// batchIndex *= heightIndex * widthIndex * channelIndex</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  channelIndex *= shape[m_HeightIndex] * shape[m_WidthIndex];</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  heightIndex *= shape[m_WidthIndex];<span class="comment"></span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> /// widthIndex stays unchanged</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"></span> <span class="keywordflow">break</span>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> /// Get the value using the correct offset</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"></span> <span class="keywordflow">return</span> batchIndex + channelIndex + heightIndex + widthIndex;</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> m_DataLayout;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_ChannelsIndex;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_HeightIndex;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_WidthIndex;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> };</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"></span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment">/// Equality methods</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"></span><span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator==</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>& dataLayout, <span class="keyword">const</span> <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">DataLayoutIndexed</a>& indexed);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator==</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">DataLayoutIndexed</a>& indexed, <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>& dataLayout);</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> } <span class="comment">// namespace armnnUtils</span></div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00049">Types.hpp:49</a></div></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="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</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="namespacearmnn_utils_xhtml_a49ba5984d8cde4299d8ef15c9e556587"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">armnnUtils::operator==</a></div><div class="ttdeci">bool operator==(const armnn::DataLayout &dataLayout, const DataLayoutIndexed &indexed)</div><div class="ttdoc">Equality methods. </div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8cpp_source.xhtml#l00034">DataLayoutIndexed.cpp:34</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_xhtml_ac9468c3774c559c52844025b8bbb5a97"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml#ac9468c3774c559c52844025b8bbb5a97">armnnUtils::DataLayoutIndexed::DataLayoutIndexed</a></div><div class="ttdeci">DataLayoutIndexed(armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8cpp_source.xhtml#l00013">DataLayoutIndexed.cpp:13</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="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_xhtml_a1e25d8623da985a43597b5756c73b206"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a1e25d8623da985a43597b5756c73b206">armnnUtils::DataLayoutIndexed::GetIndex</a></div><div class="ttdeci">unsigned int GetIndex(const armnn::TensorShape &shape, unsigned int batchIndex, unsigned int channelIndex, unsigned int heightIndex, unsigned int widthIndex) const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00027">DataLayoutIndexed.hpp:27</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_xhtml_a7d8b3d755b6ca8f5533657969efb06c4"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a7d8b3d755b6ca8f5533657969efb06c4">armnnUtils::DataLayoutIndexed::GetDataLayout</a></div><div class="ttdeci">armnn::DataLayout GetDataLayout() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00022">DataLayoutIndexed.hpp:22</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml"><div class="ttname"><a href="namespacearmnn_utils.xhtml">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00013">DataLayoutIndexed.hpp:13</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</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 class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
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