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84<a href="#pub-methods">Public Member Functions</a> &#124;
85<a href="classarmnn_utils_1_1_data_layout_indexed-members.html">List of all members</a> </div>
86 <div class="headertitle">
87<div class="title">DataLayoutIndexed Class Reference</div> </div>
88</div><!--header-->
89<div class="contents">
90
91<p><code>#include &lt;<a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>&gt;</code></p>
92<table class="memberdecls">
93<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
94Public Member Functions</h2></td></tr>
95<tr class="memitem:ac9468c3774c559c52844025b8bbb5a97"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html#ac9468c3774c559c52844025b8bbb5a97">DataLayoutIndexed</a> (<a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
96<tr class="separator:ac9468c3774c559c52844025b8bbb5a97"><td class="memSeparator" colspan="2">&#160;</td></tr>
97<tr class="memitem:a7d8b3d755b6ca8f5533657969efb06c4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html#a7d8b3d755b6ca8f5533657969efb06c4">GetDataLayout</a> () const</td></tr>
98<tr class="separator:a7d8b3d755b6ca8f5533657969efb06c4"><td class="memSeparator" colspan="2">&#160;</td></tr>
99<tr class="memitem:a861b2621ee46e4b63379988b360b8cd9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html#a861b2621ee46e4b63379988b360b8cd9">GetChannelsIndex</a> () const</td></tr>
100<tr class="separator:a861b2621ee46e4b63379988b360b8cd9"><td class="memSeparator" colspan="2">&#160;</td></tr>
101<tr class="memitem:a61c00316c443adc233c24e85c6c5b740"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a> () const</td></tr>
102<tr class="separator:a61c00316c443adc233c24e85c6c5b740"><td class="memSeparator" colspan="2">&#160;</td></tr>
103<tr class="memitem:a414e6f95548e6f7a01d5028b55ad3941"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a> () const</td></tr>
104<tr class="separator:a414e6f95548e6f7a01d5028b55ad3941"><td class="memSeparator" colspan="2">&#160;</td></tr>
105<tr class="memitem:a1e25d8623da985a43597b5756c73b206"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html#a1e25d8623da985a43597b5756c73b206">GetIndex</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;shape, unsigned int batchIndex, unsigned int channelIndex, unsigned int heightIndex, unsigned int widthIndex) const</td></tr>
106<tr class="separator:a1e25d8623da985a43597b5756c73b206"><td class="memSeparator" colspan="2">&#160;</td></tr>
107</table>
108<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
109<div class="textblock">
110<p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00017">17</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p>
111</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
112<a id="ac9468c3774c559c52844025b8bbb5a97"></a>
113<h2 class="memtitle"><span class="permalink"><a href="#ac9468c3774c559c52844025b8bbb5a97">&#9670;&nbsp;</a></span>DataLayoutIndexed()</h2>
114
115<div class="memitem">
116<div class="memproto">
117 <table class="memname">
118 <tr>
119 <td class="memname"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> </td>
120 <td>(</td>
121 <td class="paramtype"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&#160;</td>
122 <td class="paramname"><em>dataLayout</em></td><td>)</td>
123 <td></td>
124 </tr>
125 </table>
126</div><div class="memdoc">
127
128<p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8cpp_source.html#l00013">13</a> of file <a class="el" href="_data_layout_indexed_8cpp_source.html">DataLayoutIndexed.cpp</a>.</p>
129
130<p class="reference">References <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p>
131<div class="fragment"><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; : m_DataLayout(dataLayout)</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; <span class="keywordflow">switch</span> (dataLayout)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>:</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; m_ChannelsIndex = 3;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; m_HeightIndex = 1;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; m_WidthIndex = 2;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>:</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; m_ChannelsIndex = 1;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; m_HeightIndex = 2;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; m_WidthIndex = 3;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(<span class="stringliteral">&quot;Unknown DataLayout value: &quot;</span> +</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; std::to_string(static_cast&lt;int&gt;(dataLayout)));</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; }</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
132<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
133<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
134</div><!-- fragment -->
135</div>
136</div>
137<h2 class="groupheader">Member Function Documentation</h2>
138<a id="a861b2621ee46e4b63379988b360b8cd9"></a>
139<h2 class="memtitle"><span class="permalink"><a href="#a861b2621ee46e4b63379988b360b8cd9">&#9670;&nbsp;</a></span>GetChannelsIndex()</h2>
140
141<div class="memitem">
142<div class="memproto">
143<table class="mlabels">
144 <tr>
145 <td class="mlabels-left">
146 <table class="memname">
147 <tr>
148 <td class="memname">unsigned int GetChannelsIndex </td>
149 <td>(</td>
150 <td class="paramname"></td><td>)</td>
151 <td> const</td>
152 </tr>
153 </table>
154 </td>
155 <td class="mlabels-right">
156<span class="mlabels"><span class="mlabel">inline</span></span> </td>
157 </tr>
158</table>
159</div><div class="memdoc">
160
161<p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00023">23</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p>
162
163<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.html#l00035">armnn::BatchToSpaceNd()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00071">armnn::Convolve()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.html#l00122">GetBias()</a>, <a class="el" href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00039">DepthToSpaceLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00038">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_resize_layer_8cpp_source.html#l00037">ResizeLayer::InferOutputShapes()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.html#l00019">armnn::Offset()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00143">armnn::Pooling2d()</a>, <a class="el" href="_resize_8cpp_source.html#l00035">armnn::Resize()</a>, <a class="el" href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.html#l00034">armnn::SpaceToBatchNd()</a>, <a class="el" href="_space_to_depth_8cpp_source.html#l00036">armnn::SpaceToDepth()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01327">ResizeBilinearQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01374">ResizeQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01580">SpaceToBatchNdQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01645">SpaceToDepthQueueDescriptor::Validate()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l02933">DepthToSpaceQueueDescriptor::Validate()</a>.</p>
164<div class="fragment"><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;{ <span class="keywordflow">return</span> m_ChannelsIndex; }</div></div><!-- fragment -->
165</div>
166</div>
167<a id="a7d8b3d755b6ca8f5533657969efb06c4"></a>
168<h2 class="memtitle"><span class="permalink"><a href="#a7d8b3d755b6ca8f5533657969efb06c4">&#9670;&nbsp;</a></span>GetDataLayout()</h2>
169
170<div class="memitem">
171<div class="memproto">
172<table class="mlabels">
173 <tr>
174 <td class="mlabels-left">
175 <table class="memname">
176 <tr>
177 <td class="memname"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> GetDataLayout </td>
178 <td>(</td>
179 <td class="paramname"></td><td>)</td>
180 <td> const</td>
181 </tr>
182 </table>
183 </td>
184 <td class="mlabels-right">
185<span class="mlabels"><span class="mlabel">inline</span></span> </td>
186 </tr>
187</table>
188</div><div class="memdoc">
189
190<p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00022">22</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p>
191
192<p class="reference">Referenced by <a class="el" href="_conv2d_test_impl_8cpp_source.html#l02669">CompareDepthwiseConvolution2dTestImpl()</a>, <a class="el" href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.html#l00019">armnn::Offset()</a>, and <a class="el" href="_data_layout_indexed_8cpp_source.html#l00034">armnnUtils::operator==()</a>.</p>
193<div class="fragment"><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{ <span class="keywordflow">return</span> m_DataLayout; }</div></div><!-- fragment -->
194</div>
195</div>
196<a id="a61c00316c443adc233c24e85c6c5b740"></a>
197<h2 class="memtitle"><span class="permalink"><a href="#a61c00316c443adc233c24e85c6c5b740">&#9670;&nbsp;</a></span>GetHeightIndex()</h2>
198
199<div class="memitem">
200<div class="memproto">
201<table class="mlabels">
202 <tr>
203 <td class="mlabels-left">
204 <table class="memname">
205 <tr>
206 <td class="memname">unsigned int GetHeightIndex </td>
207 <td>(</td>
208 <td class="paramname"></td><td>)</td>
209 <td> const</td>
210 </tr>
211 </table>
212 </td>
213 <td class="mlabels-right">
214<span class="mlabels"><span class="mlabel">inline</span></span> </td>
215 </tr>
216</table>
217</div><div class="memdoc">
218
219<p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00024">24</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p>
220
221<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.html#l00035">armnn::BatchToSpaceNd()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00931">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00071">armnn::Convolve()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00018">armnn::DepthToSpace()</a>, <a class="el" href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.html#l00042">SpaceToBatchNdLayer::InferOutputShapes()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00039">DepthToSpaceLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00038">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.html#l00057">BatchToSpaceNdLayer::InferOutputShapes()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.html#l00019">armnn::Offset()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l02414">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00143">armnn::Pooling2d()</a>, <a class="el" href="_resize_8cpp_source.html#l00035">armnn::Resize()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00029">Convolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.html#l00034">armnn::SpaceToBatchNd()</a>, <a class="el" href="_space_to_depth_8cpp_source.html#l00036">armnn::SpaceToDepth()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01580">SpaceToBatchNdQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01645">SpaceToDepthQueueDescriptor::Validate()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l02933">DepthToSpaceQueueDescriptor::Validate()</a>.</p>
222<div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;{ <span class="keywordflow">return</span> m_HeightIndex; }</div></div><!-- fragment -->
223</div>
224</div>
225<a id="a1e25d8623da985a43597b5756c73b206"></a>
226<h2 class="memtitle"><span class="permalink"><a href="#a1e25d8623da985a43597b5756c73b206">&#9670;&nbsp;</a></span>GetIndex()</h2>
227
228<div class="memitem">
229<div class="memproto">
230<table class="mlabels">
231 <tr>
232 <td class="mlabels-left">
233 <table class="memname">
234 <tr>
235 <td class="memname">unsigned int GetIndex </td>
236 <td>(</td>
237 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;&#160;</td>
238 <td class="paramname"><em>shape</em>, </td>
239 </tr>
240 <tr>
241 <td class="paramkey"></td>
242 <td></td>
243 <td class="paramtype">unsigned int&#160;</td>
244 <td class="paramname"><em>batchIndex</em>, </td>
245 </tr>
246 <tr>
247 <td class="paramkey"></td>
248 <td></td>
249 <td class="paramtype">unsigned int&#160;</td>
250 <td class="paramname"><em>channelIndex</em>, </td>
251 </tr>
252 <tr>
253 <td class="paramkey"></td>
254 <td></td>
255 <td class="paramtype">unsigned int&#160;</td>
256 <td class="paramname"><em>heightIndex</em>, </td>
257 </tr>
258 <tr>
259 <td class="paramkey"></td>
260 <td></td>
261 <td class="paramtype">unsigned int&#160;</td>
262 <td class="paramname"><em>widthIndex</em>&#160;</td>
263 </tr>
264 <tr>
265 <td></td>
266 <td>)</td>
267 <td></td><td> const</td>
268 </tr>
269 </table>
270 </td>
271 <td class="mlabels-right">
272<span class="mlabels"><span class="mlabel">inline</span></span> </td>
273 </tr>
274</table>
275</div><div class="memdoc">
276
277<p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00027">27</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p>
278
279<p class="reference">References <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, and <a class="el" href="_data_layout_indexed_8cpp_source.html#l00034">armnnUtils::operator==()</a>.</p>
280
281<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00071">armnn::Convolve()</a>, <a class="el" href="_tensor_buffer_array_view_8hpp_source.html#l00031">TensorBufferArrayView&lt; DataType &gt;::Get()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00143">armnn::Pooling2d()</a>, <a class="el" href="_resize_8cpp_source.html#l00035">armnn::Resize()</a>, and <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>.</p>
282<div class="fragment"><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; BOOST_ASSERT( batchIndex &lt; shape[0] || ( shape[0] == 0 &amp;&amp; batchIndex == 0 ) );</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; BOOST_ASSERT( channelIndex &lt; shape[m_ChannelsIndex] ||</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; ( shape[m_ChannelsIndex] == 0 &amp;&amp; channelIndex == 0) );</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; BOOST_ASSERT( heightIndex &lt; shape[m_HeightIndex] ||</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; ( shape[m_HeightIndex] == 0 &amp;&amp; heightIndex == 0) );</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; BOOST_ASSERT( widthIndex &lt; shape[m_WidthIndex] ||</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; ( shape[m_WidthIndex] == 0 &amp;&amp; widthIndex == 0) );</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <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>&#160; <span class="keywordflow">switch</span> (m_DataLayout)</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; 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>&#160; heightIndex *= shape[m_WidthIndex] * shape[m_ChannelsIndex];</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; widthIndex *= shape[m_ChannelsIndex];</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="comment">// channelIndex stays unchanged</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>:</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; 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>&#160; channelIndex *= shape[m_HeightIndex] * shape[m_WidthIndex];</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; heightIndex *= shape[m_WidthIndex];</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="comment">// widthIndex stays unchanged</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="comment">// Get the value using the correct offset</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordflow">return</span> batchIndex + channelIndex + heightIndex + widthIndex;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; }</div><div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
283<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
284</div><!-- fragment -->
285</div>
286</div>
287<a id="a414e6f95548e6f7a01d5028b55ad3941"></a>
288<h2 class="memtitle"><span class="permalink"><a href="#a414e6f95548e6f7a01d5028b55ad3941">&#9670;&nbsp;</a></span>GetWidthIndex()</h2>
289
290<div class="memitem">
291<div class="memproto">
292<table class="mlabels">
293 <tr>
294 <td class="mlabels-left">
295 <table class="memname">
296 <tr>
297 <td class="memname">unsigned int GetWidthIndex </td>
298 <td>(</td>
299 <td class="paramname"></td><td>)</td>
300 <td> const</td>
301 </tr>
302 </table>
303 </td>
304 <td class="mlabels-right">
305<span class="mlabels"><span class="mlabel">inline</span></span> </td>
306 </tr>
307</table>
308</div><div class="memdoc">
309
310<p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00025">25</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p>
311
312<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.html#l00035">armnn::BatchToSpaceNd()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00931">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00071">armnn::Convolve()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00018">armnn::DepthToSpace()</a>, <a class="el" href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.html#l00042">SpaceToBatchNdLayer::InferOutputShapes()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00039">DepthToSpaceLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00038">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.html#l00057">BatchToSpaceNdLayer::InferOutputShapes()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.html#l00019">armnn::Offset()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l02414">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00143">armnn::Pooling2d()</a>, <a class="el" href="_resize_8cpp_source.html#l00035">armnn::Resize()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00029">Convolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.html#l00034">armnn::SpaceToBatchNd()</a>, <a class="el" href="_space_to_depth_8cpp_source.html#l00036">armnn::SpaceToDepth()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01580">SpaceToBatchNdQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01645">SpaceToDepthQueueDescriptor::Validate()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l02933">DepthToSpaceQueueDescriptor::Validate()</a>.</p>
313<div class="fragment"><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;{ <span class="keywordflow">return</span> m_WidthIndex; }</div></div><!-- fragment -->
314</div>
315</div>
316<hr/>The documentation for this class was generated from the following files:<ul>
317<li>include/armnnUtils/<a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a></li>
318<li>src/armnnUtils/<a class="el" href="_data_layout_indexed_8cpp_source.html">DataLayoutIndexed.cpp</a></li>
319</ul>
320</div><!-- contents -->
321</div><!-- doc-content -->
322<!-- start footer part -->
323<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
324 <ul>
325 <li class="navelem"><a class="el" href="namespacearmnn_utils.html">armnnUtils</a></li><li class="navelem"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a></li>
326 <li class="footer">Generated on Fri Mar 13 2020 16:07:06 for ArmNN by
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328 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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