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+<a href="_tensor_buffer_array_view_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 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;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_data_layout_indexed_8hpp.xhtml">armnnUtils/DataLayoutIndexed.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;boost/assert.hpp&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;{</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment">// Utility class providing access to raw tensor memory based on indices along each dimension.</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> DataType&gt;</div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_buffer_array_view.xhtml">   19</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1_tensor_buffer_array_view.xhtml">TensorBufferArrayView</a></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_buffer_array_view.xhtml#a1f2ab1d90881eb1bbd76729949559a55">   22</a></span>&#160;    <a class="code" href="classarmnn_1_1_tensor_buffer_array_view.xhtml#a1f2ab1d90881eb1bbd76729949559a55">TensorBufferArrayView</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* data,</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;                          <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">armnnUtils::DataLayoutIndexed</a> dataLayout = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;        : m_Shape(shape)</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;        , m_Data(data)</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;        , m_DataLayout(dataLayout)</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    {</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;        BOOST_ASSERT(m_Shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#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;</div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_buffer_array_view.xhtml#ab3a2cf851173535ea07b9d87eaf3ca01">   31</a></span>&#160;    <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&amp; <a class="code" href="classarmnn_1_1_tensor_buffer_array_view.xhtml#ab3a2cf851173535ea07b9d87eaf3ca01">Get</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> b, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> h, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w)<span class="keyword"> const</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;        <span class="keywordflow">return</span> m_Data[m_DataLayout.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a1e25d8623da985a43597b5756c73b206">GetIndex</a>(m_Shape, b, c, h, w)];</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;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>             m_Shape;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*                     m_Data;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">armnnUtils::DataLayoutIndexed</a> m_DataLayout;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;};</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="_data_layout_indexed_8hpp_xhtml"><div class="ttname"><a href="_data_layout_indexed_8hpp.xhtml">DataLayoutIndexed.hpp</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="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
+<div class="ttc" id="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_1_1_tensor_buffer_array_view_xhtml_ab3a2cf851173535ea07b9d87eaf3ca01"><div class="ttname"><a href="classarmnn_1_1_tensor_buffer_array_view.xhtml#ab3a2cf851173535ea07b9d87eaf3ca01">armnn::TensorBufferArrayView::Get</a></div><div class="ttdeci">DataType &amp; Get(unsigned int b, unsigned int c, unsigned int h, unsigned int w) const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_buffer_array_view_8hpp_source.xhtml#l00031">TensorBufferArrayView.hpp:31</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_buffer_array_view_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_buffer_array_view.xhtml">armnn::TensorBufferArrayView</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_buffer_array_view_8hpp_source.xhtml#l00019">TensorBufferArrayView.hpp:19</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="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 &amp;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_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00043">Tensor.hpp:43</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_1_1_tensor_buffer_array_view_xhtml_a1f2ab1d90881eb1bbd76729949559a55"><div class="ttname"><a href="classarmnn_1_1_tensor_buffer_array_view.xhtml#a1f2ab1d90881eb1bbd76729949559a55">armnn::TensorBufferArrayView::TensorBufferArrayView</a></div><div class="ttdeci">TensorBufferArrayView(const TensorShape &amp;shape, DataType *data, armnnUtils::DataLayoutIndexed dataLayout=DataLayout::NCHW)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_buffer_array_view_8hpp_source.xhtml#l00022">TensorBufferArrayView.hpp:22</a></div></div>
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