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+<a href="_tensor_buffer_array_view_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 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="_tensor_8hpp.html">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_data_layout_indexed_8hpp.html">armnnUtils/DataLayoutIndexed.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <boost/assert.hpp></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <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> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType></div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_buffer_array_view.html"> 19</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_tensor_buffer_array_view.html">TensorBufferArrayView</a></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <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.html#a1f2ab1d90881eb1bbd76729949559a55"> 22</a></span>  <a class="code" href="classarmnn_1_1_tensor_buffer_array_view.html#a1f2ab1d90881eb1bbd76729949559a55">TensorBufferArrayView</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& shape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* data,</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a> dataLayout = <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  : m_Shape(shape)</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  , m_Data(data)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  , m_DataLayout(dataLayout)</div><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>  BOOST_ASSERT(m_Shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  }</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_buffer_array_view.html#ab3a2cf851173535ea07b9d87eaf3ca01"> 31</a></span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>& <a class="code" href="classarmnn_1_1_tensor_buffer_array_view.html#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> <span class="keyword"> </span>{</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">return</span> m_Data[m_DataLayout.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a1e25d8623da985a43597b5756c73b206">GetIndex</a>(m_Shape, b, c, h, w)];</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  }</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> m_Shape;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* m_Data;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a> m_DataLayout;</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="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#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.html#l00043">Tensor.hpp:43</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_buffer_array_view_html_ab3a2cf851173535ea07b9d87eaf3ca01"><div class="ttname"><a href="classarmnn_1_1_tensor_buffer_array_view.html#ab3a2cf851173535ea07b9d87eaf3ca01">armnn::TensorBufferArrayView::Get</a></div><div class="ttdeci">DataType & 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.html#l00031">TensorBufferArrayView.hpp:31</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_buffer_array_view_html_a1f2ab1d90881eb1bbd76729949559a55"><div class="ttname"><a href="classarmnn_1_1_tensor_buffer_array_view.html#a1f2ab1d90881eb1bbd76729949559a55">armnn::TensorBufferArrayView::TensorBufferArrayView</a></div><div class="ttdeci">TensorBufferArrayView(const TensorShape &shape, DataType *data, armnnUtils::DataLayoutIndexed dataLayout=DataLayout::NCHW)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_buffer_array_view_8hpp_source.html#l00022">TensorBufferArrayView.hpp:22</a></div></div>
+<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_buffer_array_view_html"><div class="ttname"><a href="classarmnn_1_1_tensor_buffer_array_view.html">armnn::TensorBufferArrayView</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_buffer_array_view_8hpp_source.html#l00019">TensorBufferArrayView.hpp:19</a></div></div>
+<div class="ttc" id="_data_layout_indexed_8hpp_html"><div class="ttname"><a href="_data_layout_indexed_8hpp.html">DataLayoutIndexed.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
+<div class="ttc" id="classarmnn_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="_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div>
+<div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_html"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a></div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</a></div></div>
+<div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_html_a1e25d8623da985a43597b5756c73b206"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#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.html#l00027">DataLayoutIndexed.hpp:27</a></div></div>
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