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 118   <div class="summary">
 119 <a href="#pub-methods">Public Member Functions</a> &#124;
 120 <a href="#pub-static-methods">Static Public Member Functions</a>  </div>
 121   <div class="headertitle">
 122 <div class="title">TensorShape Class Reference</div>  </div>
 123 </div><!--header-->
 124 <div class="contents">
 125
 126 <p>Shape of a tensor.
 127  <a href="classarm__compute_1_1_tensor_shape.xhtml#details">More...</a></p>
 128
 129 <p><code>#include &lt;<a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>&gt;</code></p>
 130 <div class="dynheader">
 131 Collaboration diagram for TensorShape:</div>
 132 <div class="dyncontent">
 133 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_tensor_shape__coll__graph.svg" width="175" height="203"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 134 </div>
 135 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 136 <table class="memberdecls">
 137 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 138 Public Member Functions</h2></td></tr>
 139 <tr class="memitem:a929d0b5223357298ada0ce4d42fa5ec7"><td class="memTemplParams" colspan="2">template&lt;typename... Ts&gt; </td></tr>
 140 <tr class="memitem:a929d0b5223357298ada0ce4d42fa5ec7"><td class="memTemplItemLeft" align="right" valign="top">&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a929d0b5223357298ada0ce4d42fa5ec7">TensorShape</a> (Ts...dims)</td></tr>
 141 <tr class="memdesc:a929d0b5223357298ada0ce4d42fa5ec7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor to initialize the tensor shape.  <a href="#a929d0b5223357298ada0ce4d42fa5ec7">More...</a><br /></td></tr>
 142 <tr class="separator:a929d0b5223357298ada0ce4d42fa5ec7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 143 <tr class="memitem:af156b289692f8c3f64688e9a2932ae78"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#af156b289692f8c3f64688e9a2932ae78">TensorShape</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;)=default</td></tr>
 144 <tr class="memdesc:af156b289692f8c3f64688e9a2932ae78"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be copy constructed.  <a href="#af156b289692f8c3f64688e9a2932ae78">More...</a><br /></td></tr>
 145 <tr class="separator:af156b289692f8c3f64688e9a2932ae78"><td class="memSeparator" colspan="2">&#160;</td></tr>
 146 <tr class="memitem:a355b1a84ab7af3b8ef9a6bea1939450a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a355b1a84ab7af3b8ef9a6bea1939450a">operator=</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;)=default</td></tr>
 147 <tr class="memdesc:a355b1a84ab7af3b8ef9a6bea1939450a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be copied.  <a href="#a355b1a84ab7af3b8ef9a6bea1939450a">More...</a><br /></td></tr>
 148 <tr class="separator:a355b1a84ab7af3b8ef9a6bea1939450a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 149 <tr class="memitem:a5fa5abfb10a67d23a75339646e84517a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a5fa5abfb10a67d23a75339646e84517a">TensorShape</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&amp;)=default</td></tr>
 150 <tr class="memdesc:a5fa5abfb10a67d23a75339646e84517a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be move constructed.  <a href="#a5fa5abfb10a67d23a75339646e84517a">More...</a><br /></td></tr>
 151 <tr class="separator:a5fa5abfb10a67d23a75339646e84517a"><td class="memSeparator" colspan="2">&#160;</td></tr>
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 153 <tr class="memdesc:afbfae7c97606fb71d556a9f4e46dda00"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved.  <a href="#afbfae7c97606fb71d556a9f4e46dda00">More...</a><br /></td></tr>
 154 <tr class="separator:afbfae7c97606fb71d556a9f4e46dda00"><td class="memSeparator" colspan="2">&#160;</td></tr>
 155 <tr class="memitem:a29ff524f0e3378fb25a8447bdeed6ba9"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a29ff524f0e3378fb25a8447bdeed6ba9">~TensorShape</a> ()=default</td></tr>
 156 <tr class="memdesc:a29ff524f0e3378fb25a8447bdeed6ba9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor.  <a href="#a29ff524f0e3378fb25a8447bdeed6ba9">More...</a><br /></td></tr>
 157 <tr class="separator:a29ff524f0e3378fb25a8447bdeed6ba9"><td class="memSeparator" colspan="2">&#160;</td></tr>
 158 <tr class="memitem:a9c54fb6cea3557692fe7c00c40bb40ad"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a> (size_t dimension, size_t value, bool apply_dim_correction=true)</td></tr>
 159 <tr class="memdesc:a9c54fb6cea3557692fe7c00c40bb40ad"><td class="mdescLeft">&#160;</td><td class="mdescRight">Accessor to set the value of one of the dimensions.  <a href="#a9c54fb6cea3557692fe7c00c40bb40ad">More...</a><br /></td></tr>
 160 <tr class="separator:a9c54fb6cea3557692fe7c00c40bb40ad"><td class="memSeparator" colspan="2">&#160;</td></tr>
 161 <tr class="memitem:acb74edf42335de0dca0da5158b704c4b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#acb74edf42335de0dca0da5158b704c4b">remove_dimension</a> (size_t n)</td></tr>
 162 <tr class="memdesc:acb74edf42335de0dca0da5158b704c4b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Accessor to remove the dimension n from the tensor shape.  <a href="#acb74edf42335de0dca0da5158b704c4b">More...</a><br /></td></tr>
 163 <tr class="separator:acb74edf42335de0dca0da5158b704c4b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 164 <tr class="memitem:a8e15e87871211f98c2b566137e38ef99"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a8e15e87871211f98c2b566137e38ef99">collapse</a> (size_t n, size_t first=0)</td></tr>
 165 <tr class="memdesc:a8e15e87871211f98c2b566137e38ef99"><td class="mdescLeft">&#160;</td><td class="mdescRight">Collapse the first n dimensions.  <a href="#a8e15e87871211f98c2b566137e38ef99">More...</a><br /></td></tr>
 166 <tr class="separator:a8e15e87871211f98c2b566137e38ef99"><td class="memSeparator" colspan="2">&#160;</td></tr>
 167 <tr class="memitem:a3b572f2fcba6fcf8b944a9161b2d365f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a3b572f2fcba6fcf8b944a9161b2d365f">collapsed_from</a> (size_t start) const </td></tr>
 168 <tr class="memdesc:a3b572f2fcba6fcf8b944a9161b2d365f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return a copy with collapsed dimensions starting from a given point.  <a href="#a3b572f2fcba6fcf8b944a9161b2d365f">More...</a><br /></td></tr>
 169 <tr class="separator:a3b572f2fcba6fcf8b944a9161b2d365f"><td class="memSeparator" colspan="2">&#160;</td></tr>
 170 <tr class="memitem:a4eaec01ba2c12093db609d1034ad0bc1"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">total_size</a> () const </td></tr>
 171 <tr class="memdesc:a4eaec01ba2c12093db609d1034ad0bc1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Collapses all dimensions to a single linear total size.  <a href="#a4eaec01ba2c12093db609d1034ad0bc1">More...</a><br /></td></tr>
 172 <tr class="separator:a4eaec01ba2c12093db609d1034ad0bc1"><td class="memSeparator" colspan="2">&#160;</td></tr>
 173 <tr class="memitem:a91d8061f66e7f8bc56da91d965f04376"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a91d8061f66e7f8bc56da91d965f04376">total_size_upper</a> (size_t dimension) const </td></tr>
 174 <tr class="memdesc:a91d8061f66e7f8bc56da91d965f04376"><td class="mdescLeft">&#160;</td><td class="mdescRight">Collapses given dimension and above.  <a href="#a91d8061f66e7f8bc56da91d965f04376">More...</a><br /></td></tr>
 175 <tr class="separator:a91d8061f66e7f8bc56da91d965f04376"><td class="memSeparator" colspan="2">&#160;</td></tr>
 176 <tr class="memitem:a1a82725c69bdbd17294caa129743984c"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a1a82725c69bdbd17294caa129743984c">total_size_lower</a> (size_t dimension) const </td></tr>
 177 <tr class="memdesc:a1a82725c69bdbd17294caa129743984c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Compute size of dimensions lower than the given one.  <a href="#a1a82725c69bdbd17294caa129743984c">More...</a><br /></td></tr>
 178 <tr class="separator:a1a82725c69bdbd17294caa129743984c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 179 <tr class="inherit_header pub_methods_classarm__compute_1_1_dimensions"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_dimensions')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions&lt; size_t &gt;</a></td></tr>
 180 <tr class="memitem:aa521fcebc508ef8447da413cc64d020a inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#aa521fcebc508ef8447da413cc64d020a">Dimensions</a> (Ts...dims)</td></tr>
 181 <tr class="memdesc:aa521fcebc508ef8447da413cc64d020a inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor to initialize the tensor shape.  <a href="#aa521fcebc508ef8447da413cc64d020a">More...</a><br /></td></tr>
 182 <tr class="separator:aa521fcebc508ef8447da413cc64d020a inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 183 <tr class="memitem:a0d3c59537291735849c740364496a41c inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a0d3c59537291735849c740364496a41c">Dimensions</a> (const <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a> &amp;)=default</td></tr>
 184 <tr class="memdesc:a0d3c59537291735849c740364496a41c inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be copy constructed.  <a href="#a0d3c59537291735849c740364496a41c">More...</a><br /></td></tr>
 185 <tr class="separator:a0d3c59537291735849c740364496a41c inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 186 <tr class="memitem:aa2c609345b3b6fa8da2486f75fff8ed8 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#aa2c609345b3b6fa8da2486f75fff8ed8">Dimensions</a> (<a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a> &amp;&amp;)=default</td></tr>
 187 <tr class="memdesc:aa2c609345b3b6fa8da2486f75fff8ed8 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be move constructed.  <a href="#aa2c609345b3b6fa8da2486f75fff8ed8">More...</a><br /></td></tr>
 188 <tr class="separator:aa2c609345b3b6fa8da2486f75fff8ed8 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 189 <tr class="memitem:a2c96e96e2d005b4a8b66c2acd1688903 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a2c96e96e2d005b4a8b66c2acd1688903">operator=</a> (const <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a> &amp;)=default</td></tr>
 190 <tr class="memdesc:a2c96e96e2d005b4a8b66c2acd1688903 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be copied.  <a href="#a2c96e96e2d005b4a8b66c2acd1688903">More...</a><br /></td></tr>
 191 <tr class="separator:a2c96e96e2d005b4a8b66c2acd1688903 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 192 <tr class="memitem:a80565e11a35c48747bcc2cba06931e20 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a80565e11a35c48747bcc2cba06931e20">operator=</a> (<a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a> &amp;&amp;)=default</td></tr>
 193 <tr class="memdesc:a80565e11a35c48747bcc2cba06931e20 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved.  <a href="#a80565e11a35c48747bcc2cba06931e20">More...</a><br /></td></tr>
 194 <tr class="separator:a80565e11a35c48747bcc2cba06931e20 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 195 <tr class="memitem:a982730e6f0da5f9490f59bc5f6bb3f27 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a> (size_t dimension, size_tvalue)</td></tr>
 196 <tr class="memdesc:a982730e6f0da5f9490f59bc5f6bb3f27 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Accessor to set the value of one of the dimensions.  <a href="#a982730e6f0da5f9490f59bc5f6bb3f27">More...</a><br /></td></tr>
 197 <tr class="separator:a982730e6f0da5f9490f59bc5f6bb3f27 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 198 <tr class="memitem:afb5cd37bb08f1029691590372e6330f0 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#afb5cd37bb08f1029691590372e6330f0">x</a> () const</td></tr>
 199 <tr class="memdesc:afb5cd37bb08f1029691590372e6330f0 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Alias to access the size of the first dimension.  <a href="#afb5cd37bb08f1029691590372e6330f0">More...</a><br /></td></tr>
 200 <tr class="separator:afb5cd37bb08f1029691590372e6330f0 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 201 <tr class="memitem:a691c9cb93365c2e33f3429de43244098 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a691c9cb93365c2e33f3429de43244098">y</a> () const</td></tr>
 202 <tr class="memdesc:a691c9cb93365c2e33f3429de43244098 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Alias to access the size of the second dimension.  <a href="#a691c9cb93365c2e33f3429de43244098">More...</a><br /></td></tr>
 203 <tr class="separator:a691c9cb93365c2e33f3429de43244098 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 204 <tr class="memitem:a336121cb63ed79fa0a072eed03d694ac inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a336121cb63ed79fa0a072eed03d694ac">z</a> () const</td></tr>
 205 <tr class="memdesc:a336121cb63ed79fa0a072eed03d694ac inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Alias to access the size of the third dimension.  <a href="#a336121cb63ed79fa0a072eed03d694ac">More...</a><br /></td></tr>
 206 <tr class="separator:a336121cb63ed79fa0a072eed03d694ac inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 207 <tr class="memitem:a4042981ab0351a730057258b672c8cab inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">const size_t &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a4042981ab0351a730057258b672c8cab">operator[]</a> (size_t dimension) const</td></tr>
 208 <tr class="memdesc:a4042981ab0351a730057258b672c8cab inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Generic accessor to get the size of any dimension.  <a href="#a4042981ab0351a730057258b672c8cab">More...</a><br /></td></tr>
 209 <tr class="separator:a4042981ab0351a730057258b672c8cab inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 210 <tr class="memitem:ac88390e0a6503d5d09c65d204980beb1 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">size_t &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#ac88390e0a6503d5d09c65d204980beb1">operator[]</a> (size_t dimension)</td></tr>
 211 <tr class="memdesc:ac88390e0a6503d5d09c65d204980beb1 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Generic accessor to get the size of any dimension.  <a href="#ac88390e0a6503d5d09c65d204980beb1">More...</a><br /></td></tr>
 212 <tr class="separator:ac88390e0a6503d5d09c65d204980beb1 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 213 <tr class="memitem:a0f59f175e7682c7ed5f4ea30ef687834 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a> () const</td></tr>
 214 <tr class="memdesc:a0f59f175e7682c7ed5f4ea30ef687834 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the effective dimensionality of the tensor.  <a href="#a0f59f175e7682c7ed5f4ea30ef687834">More...</a><br /></td></tr>
 215 <tr class="separator:a0f59f175e7682c7ed5f4ea30ef687834 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 216 <tr class="memitem:a810a78f0b7cc0270f38d4136e023ea3b inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">set_num_dimensions</a> (size_t <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>)</td></tr>
 217 <tr class="memdesc:a810a78f0b7cc0270f38d4136e023ea3b inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set number of dimensions.  <a href="#a810a78f0b7cc0270f38d4136e023ea3b">More...</a><br /></td></tr>
 218 <tr class="separator:a810a78f0b7cc0270f38d4136e023ea3b inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 219 <tr class="memitem:a0c265a91027decdda59e5086c550d0f7 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a0c265a91027decdda59e5086c550d0f7">collapse</a> (const size_t n, const size_t first=0)</td></tr>
 220 <tr class="memdesc:a0c265a91027decdda59e5086c550d0f7 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Collapse dimensions.  <a href="#a0c265a91027decdda59e5086c550d0f7">More...</a><br /></td></tr>
 221 <tr class="separator:a0c265a91027decdda59e5086c550d0f7 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 222 <tr class="memitem:a112cc1d5093b7672bf11569659251a7c inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a112cc1d5093b7672bf11569659251a7c">collapse_from</a> (size_t start)</td></tr>
 223 <tr class="memdesc:a112cc1d5093b7672bf11569659251a7c inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Collapse dimensions starting from a given point.  <a href="#a112cc1d5093b7672bf11569659251a7c">More...</a><br /></td></tr>
 224 <tr class="separator:a112cc1d5093b7672bf11569659251a7c inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 225 <tr class="memitem:ab2878b67ca384a699c1270900b31290b inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">std::array&lt; size_t, <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b">begin</a> ()</td></tr>
 226 <tr class="memdesc:ab2878b67ca384a699c1270900b31290b inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a read/write iterator that points to the first element in the dimension array.  <a href="#ab2878b67ca384a699c1270900b31290b">More...</a><br /></td></tr>
 227 <tr class="separator:ab2878b67ca384a699c1270900b31290b inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 228 <tr class="memitem:aeade0eaf149acac842e98d99d37e39c7 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">std::array&lt; size_t, <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a> &gt;::const_iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#aeade0eaf149acac842e98d99d37e39c7">begin</a> () const</td></tr>
 229 <tr class="memdesc:aeade0eaf149acac842e98d99d37e39c7 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a read-only (constant) iterator that points to the first element in the dimension array.  <a href="#aeade0eaf149acac842e98d99d37e39c7">More...</a><br /></td></tr>
 230 <tr class="separator:aeade0eaf149acac842e98d99d37e39c7 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 231 <tr class="memitem:a4498730adaf901d945c12841df994bba inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">std::array&lt; size_t, <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a> &gt;::const_iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a4498730adaf901d945c12841df994bba">cbegin</a> () const</td></tr>
 232 <tr class="memdesc:a4498730adaf901d945c12841df994bba inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a read-only (constant) iterator that points to the first element in the dimension array.  <a href="#a4498730adaf901d945c12841df994bba">More...</a><br /></td></tr>
 233 <tr class="separator:a4498730adaf901d945c12841df994bba inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 234 <tr class="memitem:ac684b52c6197edff9cccb3abd1e41f59 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">std::array&lt; size_t, <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59">end</a> ()</td></tr>
 235 <tr class="memdesc:ac684b52c6197edff9cccb3abd1e41f59 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a read/write iterator that points one past the last element in the dimension array.  <a href="#ac684b52c6197edff9cccb3abd1e41f59">More...</a><br /></td></tr>
 236 <tr class="separator:ac684b52c6197edff9cccb3abd1e41f59 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 237 <tr class="memitem:a819e633cd63b404cf9938bc6e755c170 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">std::array&lt; size_t, <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a> &gt;::const_iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a819e633cd63b404cf9938bc6e755c170">end</a> () const</td></tr>
 238 <tr class="memdesc:a819e633cd63b404cf9938bc6e755c170 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a read-only (constant) iterator that points one past the last element in the dimension array.  <a href="#a819e633cd63b404cf9938bc6e755c170">More...</a><br /></td></tr>
 239 <tr class="separator:a819e633cd63b404cf9938bc6e755c170 inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 240 <tr class="memitem:adf9b6d55d708c285d58511a780e937fc inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">std::array&lt; size_t, <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a> &gt;::const_iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#adf9b6d55d708c285d58511a780e937fc">cend</a> () const</td></tr>
 241 <tr class="memdesc:adf9b6d55d708c285d58511a780e937fc inherit pub_methods_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a read-only (constant) iterator that points one past the last element in the dimension array.  <a href="#adf9b6d55d708c285d58511a780e937fc">More...</a><br /></td></tr>
 242 <tr class="separator:adf9b6d55d708c285d58511a780e937fc inherit pub_methods_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 243 </table><table class="memberdecls">
 244 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
 245 Static Public Member Functions</h2></td></tr>
 246 <tr class="memitem:a58838fbdce5b5330d84e62329b45ff7d"><td class="memTemplParams" colspan="2">template&lt;typename... Shapes&gt; </td></tr>
 247 <tr class="memitem:a58838fbdce5b5330d84e62329b45ff7d"><td class="memTemplItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a58838fbdce5b5330d84e62329b45ff7d">broadcast_shape</a> (const Shapes &amp;...shapes)</td></tr>
 248 <tr class="memdesc:a58838fbdce5b5330d84e62329b45ff7d"><td class="mdescLeft">&#160;</td><td class="mdescRight">If shapes are broadcast compatible, return the broadcasted shape.  <a href="#a58838fbdce5b5330d84e62329b45ff7d">More...</a><br /></td></tr>
 249 <tr class="separator:a58838fbdce5b5330d84e62329b45ff7d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 250 </table><table class="memberdecls">
 251 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
 252 Additional Inherited Members</h2></td></tr>
 253 <tr class="inherit_header pub_static_attribs_classarm__compute_1_1_dimensions"><td colspan="2" onclick="javascript:toggleInherit('pub_static_attribs_classarm__compute_1_1_dimensions')"><img src="closed.png" alt="-"/>&#160;Static Public Attributes inherited from <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions&lt; size_t &gt;</a></td></tr>
 254 <tr class="memitem:a1b67d5b720119d50faa286c774579ecc inherit pub_static_attribs_classarm__compute_1_1_dimensions"><td class="memItemLeft" align="right" valign="top">static constexpr size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a></td></tr>
 255 <tr class="memdesc:a1b67d5b720119d50faa286c774579ecc inherit pub_static_attribs_classarm__compute_1_1_dimensions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of dimensions the tensor has.  <a href="#a1b67d5b720119d50faa286c774579ecc">More...</a><br /></td></tr>
 256 <tr class="separator:a1b67d5b720119d50faa286c774579ecc inherit pub_static_attribs_classarm__compute_1_1_dimensions"><td class="memSeparator" colspan="2">&#160;</td></tr>
 257 </table>
 258 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 259 <div class="textblock"><p>Shape of a tensor. </p>
 260
 261 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00039">39</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 262 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 263 <a class="anchor" id="a929d0b5223357298ada0ce4d42fa5ec7"></a>
 264 <div class="memitem">
 265 <div class="memproto">
 266 <table class="mlabels">
 267   <tr>
 268   <td class="mlabels-left">
 269       <table class="memname">
 270         <tr>
 271           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td>
 272           <td>(</td>
 273           <td class="paramtype">Ts...&#160;</td>
 274           <td class="paramname"><em>dims</em></td><td>)</td>
 275           <td></td>
 276         </tr>
 277       </table>
 278   </td>
 279   <td class="mlabels-right">
 280 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 281   </tr>
 282 </table>
 283 </div><div class="memdoc">
 284
 285 <p>Constructor to initialize the tensor shape. </p>
 286 <dl class="params"><dt>Parameters</dt><dd>
 287   <table class="params">
 288     <tr><td class="paramdir">[in]</td><td class="paramname">dims</td><td>Values to initialize the dimensions. </td></tr>
 289   </table>
 290   </dd>
 291 </dl>
 292
 293 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00047">47</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 294
 295 <p>References <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a355b1a84ab7af3b8ef9a6bea1939450a">TensorShape::operator=()</a>, and <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a29ff524f0e3378fb25a8447bdeed6ba9">TensorShape::~TensorShape()</a>.</p>
 296 <div class="fragment"><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;        : <a class="code" href="classarm__compute_1_1_dimensions.xhtml#aa521fcebc508ef8447da413cc64d020a">Dimensions</a>{ dims... }</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    {</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        <span class="comment">// Initialize unspecified dimensions to 1</span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <span class="keywordflow">if</span>(_num_dimensions &gt; 0)</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        {</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;            std::fill(_id.begin() + _num_dimensions, _id.end(), 1);</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        }</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;        <span class="comment">// Correct number dimensions to ignore trailing dimensions of size 1</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        apply_dimension_correction();</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_aa521fcebc508ef8447da413cc64d020a"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#aa521fcebc508ef8447da413cc64d020a">arm_compute::Dimensions&lt; size_t &gt;::Dimensions</a></div><div class="ttdeci">Dimensions(Ts...dims)</div><div class="ttdoc">Constructor to initialize the tensor shape. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00052">Dimensions.h:52</a></div></div>
 297 </div><!-- fragment -->
 298 </div>
 299 </div>
 300 <a class="anchor" id="af156b289692f8c3f64688e9a2932ae78"></a>
 301 <div class="memitem">
 302 <div class="memproto">
 303 <table class="mlabels">
 304   <tr>
 305   <td class="mlabels-left">
 306       <table class="memname">
 307         <tr>
 308           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td>
 309           <td>(</td>
 310           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 311           <td class="paramname"></td><td>)</td>
 312           <td></td>
 313         </tr>
 314       </table>
 315   </td>
 316   <td class="mlabels-right">
 317 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 318   </tr>
 319 </table>
 320 </div><div class="memdoc">
 321
 322 <p>Allow instances of this class to be copy constructed. </p>
 323
 324 </div>
 325 </div>
 326 <a class="anchor" id="a5fa5abfb10a67d23a75339646e84517a"></a>
 327 <div class="memitem">
 328 <div class="memproto">
 329 <table class="mlabels">
 330   <tr>
 331   <td class="mlabels-left">
 332       <table class="memname">
 333         <tr>
 334           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td>
 335           <td>(</td>
 336           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&amp;&#160;</td>
 337           <td class="paramname"></td><td>)</td>
 338           <td></td>
 339         </tr>
 340       </table>
 341   </td>
 342   <td class="mlabels-right">
 343 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 344   </tr>
 345 </table>
 346 </div><div class="memdoc">
 347
 348 <p>Allow instances of this class to be move constructed. </p>
 349
 350 </div>
 351 </div>
 352 <a class="anchor" id="a29ff524f0e3378fb25a8447bdeed6ba9"></a>
 353 <div class="memitem">
 354 <div class="memproto">
 355 <table class="mlabels">
 356   <tr>
 357   <td class="mlabels-left">
 358       <table class="memname">
 359         <tr>
 360           <td class="memname">~<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td>
 361           <td>(</td>
 362           <td class="paramname"></td><td>)</td>
 363           <td></td>
 364         </tr>
 365       </table>
 366   </td>
 367   <td class="mlabels-right">
 368 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 369   </tr>
 370 </table>
 371 </div><div class="memdoc">
 372
 373 <p>Default destructor. </p>
 374
 375 <p>Referenced by <a class="el" href="_tensor_shape_8h_source.xhtml#l00047">TensorShape::TensorShape()</a>.</p>
 376
 377 </div>
 378 </div>
 379 <h2 class="groupheader">Member Function Documentation</h2>
 380 <a class="anchor" id="a58838fbdce5b5330d84e62329b45ff7d"></a>
 381 <div class="memitem">
 382 <div class="memproto">
 383 <table class="mlabels">
 384   <tr>
 385   <td class="mlabels-left">
 386       <table class="memname">
 387         <tr>
 388           <td class="memname">static <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> broadcast_shape </td>
 389           <td>(</td>
 390           <td class="paramtype">const Shapes &amp;...&#160;</td>
 391           <td class="paramname"><em>shapes</em></td><td>)</td>
 392           <td></td>
 393         </tr>
 394       </table>
 395   </td>
 396   <td class="mlabels-right">
 397 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
 398   </tr>
 399 </table>
 400 </div><div class="memdoc">
 401
 402 <p>If shapes are broadcast compatible, return the broadcasted shape. </p>
 403 <p>Two tensor shapes are broadcast compatible if for each dimension, they're equal or one of them is 1.</p>
 404 <p>If two shapes are compatible, each dimension in the broadcasted shape is the max of the original dimensions.</p>
 405 <dl class="params"><dt>Parameters</dt><dd>
 406   <table class="params">
 407     <tr><td class="paramdir">[in]</td><td class="paramname">shapes</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> shapes.</td></tr>
 408   </table>
 409   </dd>
 410 </dl>
 411 <dl class="section return"><dt>Returns</dt><dd>The broadcasted shape or an empty shape if the shapes are not broadcast compatible. </dd></dl>
 412
 413 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00196">196</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 414
 415 <p>References <a class="el" href="_utility_8h_source.xhtml#l00091">arm_compute::utility::for_each()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">arm_compute::test::fixed_point_arithmetic::detail::max()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00897">arm_compute::test::fixed_point_arithmetic::detail::min()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions&lt; T &gt;::num_dimensions()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00045">Dimensions&lt; size_t &gt;::num_max_dimensions</a>, <a class="el" href="_tensor_shape_8h_source.xhtml#l00078">TensorShape::set()</a>, and <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::U</a>.</p>
 416
 417 <p>Referenced by <a class="el" href="reference_2_arithmetic_addition_8cpp_source.xhtml#l00089">arm_compute::test::validation::reference::arithmetic_addition()</a>, <a class="el" href="_i_tensor_info_8h_source.xhtml#l00260">ITensorInfo::broadcast_shape_and_valid_region()</a>, and <a class="el" href="reference_2_pixel_wise_multiplication_8cpp_source.xhtml#l00131">arm_compute::test::validation::reference::pixel_wise_multiplication()</a>.</p>
 418 <div class="fragment"><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    {</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a929d0b5223357298ada0ce4d42fa5ec7">TensorShape</a> bc_shape;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;        <span class="keyword">auto</span> broadcast = [&amp;bc_shape](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a929d0b5223357298ada0ce4d42fa5ec7">TensorShape</a> &amp; other)</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;        {</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;            <span class="keywordflow">if</span>(bc_shape.num_dimensions() == 0)</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;            {</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;                bc_shape = other;</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;            }</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;            <span class="keywordflow">else</span> <span class="keywordflow">if</span>(other.num_dimensions() != 0)</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;            {</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d &lt; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">TensorShape::num_max_dimensions</a>; ++d)</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;                {</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">size_t</span> dim_min = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(bc_shape[d], other[d]);</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">size_t</span> dim_max = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(bc_shape[d], other[d]);</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;                    <span class="keywordflow">if</span>((dim_min != 1) &amp;&amp; (dim_min != dim_max))</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;                    {</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;                        bc_shape = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a929d0b5223357298ada0ce4d42fa5ec7">TensorShape</a>{ 0<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> };</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;                        <span class="keywordflow">break</span>;</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;                    }</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;                    bc_shape.set(d, dim_max);</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;                }</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;            }</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;        };</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;        <a class="code" href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">utility::for_each</a>(broadcast, shapes...);</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;        <span class="keywordflow">return</span> bc_shape;</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00897">FixedPoint.h:897</a></div></div>
 419 <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div>
 420 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a929d0b5223357298ada0ce4d42fa5ec7"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a929d0b5223357298ada0ce4d42fa5ec7">arm_compute::TensorShape::TensorShape</a></div><div class="ttdeci">TensorShape(Ts...dims)</div><div class="ttdoc">Constructor to initialize the tensor shape. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00047">TensorShape.h:47</a></div></div>
 421 <div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a067ebd28103d827b6ec17032e2344064"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">arm_compute::utility::for_each</a></div><div class="ttdeci">void for_each(F &amp;&amp;)</div><div class="ttdoc">Base case of for_each. </div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00091">Utility.h:91</a></div></div>
 422 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">FixedPoint.h:902</a></div></div>
 423 <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a1b67d5b720119d50faa286c774579ecc"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">arm_compute::Dimensions&lt; size_t &gt;::num_max_dimensions</a></div><div class="ttdeci">static constexpr size_t num_max_dimensions</div><div class="ttdoc">Number of dimensions the tensor has. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00045">Dimensions.h:45</a></div></div>
 424 </div><!-- fragment -->
 425 </div>
 426 </div>
 427 <a class="anchor" id="a8e15e87871211f98c2b566137e38ef99"></a>
 428 <div class="memitem">
 429 <div class="memproto">
 430 <table class="mlabels">
 431   <tr>
 432   <td class="mlabels-left">
 433       <table class="memname">
 434         <tr>
 435           <td class="memname">void collapse </td>
 436           <td>(</td>
 437           <td class="paramtype">size_t&#160;</td>
 438           <td class="paramname"><em>n</em>, </td>
 439         </tr>
 440         <tr>
 441           <td class="paramkey"></td>
 442           <td></td>
 443           <td class="paramtype">size_t&#160;</td>
 444           <td class="paramname"><em>first</em> = <code>0</code>&#160;</td>
 445         </tr>
 446         <tr>
 447           <td></td>
 448           <td>)</td>
 449           <td></td><td></td>
 450         </tr>
 451       </table>
 452   </td>
 453   <td class="mlabels-right">
 454 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 455   </tr>
 456 </table>
 457 </div><div class="memdoc">
 458
 459 <p>Collapse the first n dimensions. </p>
 460 <dl class="params"><dt>Parameters</dt><dd>
 461   <table class="params">
 462     <tr><td class="paramdir">[in]</td><td class="paramname">n</td><td>Number of dimensions to collapse into <code>first</code> </td></tr>
 463     <tr><td class="paramdir">[in]</td><td class="paramname">first</td><td><a class="el" href="classarm__compute_1_1_dimensions.xhtml" title="Dimensions with dimensionality. ">Dimensions</a> into which the following <code>n</code> are collapsed. </td></tr>
 464   </table>
 465   </dd>
 466 </dl>
 467
 468 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00132">132</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 469
 470 <p>References <a class="el" href="_dimensions_8h_source.xhtml#l00138">Dimensions&lt; T &gt;::collapse()</a>.</p>
 471
 472 <p>Referenced by <a class="el" href="_tensor_shape_8h_source.xhtml#l00146">TensorShape::collapsed_from()</a>, and <a class="el" href="_shape_calculator_8h_source.xhtml#l00045">arm_compute::misc::shape_calculator::compute_weights_reshaped_shape()</a>.</p>
 473 <div class="fragment"><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    {</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0c265a91027decdda59e5086c550d0f7">Dimensions::collapse</a>(n, first);</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        <span class="comment">// Make sure all empty dimensions are filled with 1</span></div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        std::fill(_id.begin() + _num_dimensions, _id.end(), 1);</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0c265a91027decdda59e5086c550d0f7"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0c265a91027decdda59e5086c550d0f7">arm_compute::Dimensions::collapse</a></div><div class="ttdeci">void collapse(const size_t n, const size_t first=0)</div><div class="ttdoc">Collapse dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00138">Dimensions.h:138</a></div></div>
 474 </div><!-- fragment -->
 475 </div>
 476 </div>
 477 <a class="anchor" id="a3b572f2fcba6fcf8b944a9161b2d365f"></a>
 478 <div class="memitem">
 479 <div class="memproto">
 480 <table class="mlabels">
 481   <tr>
 482   <td class="mlabels-left">
 483       <table class="memname">
 484         <tr>
 485           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> collapsed_from </td>
 486           <td>(</td>
 487           <td class="paramtype">size_t&#160;</td>
 488           <td class="paramname"><em>start</em></td><td>)</td>
 489           <td> const</td>
 490         </tr>
 491       </table>
 492   </td>
 493   <td class="mlabels-right">
 494 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 495   </tr>
 496 </table>
 497 </div><div class="memdoc">
 498
 499 <p>Return a copy with collapsed dimensions starting from a given point. </p>
 500 <dl class="params"><dt>Parameters</dt><dd>
 501   <table class="params">
 502     <tr><td class="paramdir">[in]</td><td class="paramname">start</td><td>Starting point of collapsing dimensions.</td></tr>
 503   </table>
 504   </dd>
 505 </dl>
 506 <dl class="section return"><dt>Returns</dt><dd>A copy with collapse dimensions starting from start. </dd></dl>
 507
 508 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00146">146</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 509
 510 <p>References <a class="el" href="_tensor_shape_8h_source.xhtml#l00132">TensorShape::collapse()</a>, <a class="el" href="reference_2_copy_8cpp_source.xhtml#l00037">arm_compute::test::validation::reference::copy()</a>, and <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions&lt; size_t &gt;::num_dimensions()</a>.</p>
 511 <div class="fragment"><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    {</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a929d0b5223357298ada0ce4d42fa5ec7">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">copy</a>(*<span class="keyword">this</span>);</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">copy</a>.collapse(<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), start);</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">copy</a>;</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ad9000ce99b9ffcec5722cade36d7e757"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">arm_compute::test::validation::reference::copy</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; copy(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;output_shape)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_copy_8cpp_source.xhtml#l00037">Copy.cpp:37</a></div></div>
 512 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a929d0b5223357298ada0ce4d42fa5ec7"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a929d0b5223357298ada0ce4d42fa5ec7">arm_compute::TensorShape::TensorShape</a></div><div class="ttdeci">TensorShape(Ts...dims)</div><div class="ttdoc">Constructor to initialize the tensor shape. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00047">TensorShape.h:47</a></div></div>
 513 <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions&lt; size_t &gt;::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const</div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00122">Dimensions.h:122</a></div></div>
 514 </div><!-- fragment -->
 515 </div>
 516 </div>
 517 <a class="anchor" id="a355b1a84ab7af3b8ef9a6bea1939450a"></a>
 518 <div class="memitem">
 519 <div class="memproto">
 520 <table class="mlabels">
 521   <tr>
 522   <td class="mlabels-left">
 523       <table class="memname">
 524         <tr>
 525           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&amp; operator= </td>
 526           <td>(</td>
 527           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 528           <td class="paramname"></td><td>)</td>
 529           <td></td>
 530         </tr>
 531       </table>
 532   </td>
 533   <td class="mlabels-right">
 534 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 535   </tr>
 536 </table>
 537 </div><div class="memdoc">
 538
 539 <p>Allow instances of this class to be copied. </p>
 540
 541 <p>Referenced by <a class="el" href="_tensor_shape_8h_source.xhtml#l00047">TensorShape::TensorShape()</a>.</p>
 542
 543 </div>
 544 </div>
 545 <a class="anchor" id="afbfae7c97606fb71d556a9f4e46dda00"></a>
 546 <div class="memitem">
 547 <div class="memproto">
 548 <table class="mlabels">
 549   <tr>
 550   <td class="mlabels-left">
 551       <table class="memname">
 552         <tr>
 553           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&amp; operator= </td>
 554           <td>(</td>
 555           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&amp;&#160;</td>
 556           <td class="paramname"></td><td>)</td>
 557           <td></td>
 558         </tr>
 559       </table>
 560   </td>
 561   <td class="mlabels-right">
 562 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 563   </tr>
 564 </table>
 565 </div><div class="memdoc">
 566
 567 <p>Allow instances of this class to be moved. </p>
 568
 569 </div>
 570 </div>
 571 <a class="anchor" id="acb74edf42335de0dca0da5158b704c4b"></a>
 572 <div class="memitem">
 573 <div class="memproto">
 574 <table class="mlabels">
 575   <tr>
 576   <td class="mlabels-left">
 577       <table class="memname">
 578         <tr>
 579           <td class="memname">void remove_dimension </td>
 580           <td>(</td>
 581           <td class="paramtype">size_t&#160;</td>
 582           <td class="paramname"><em>n</em></td><td>)</td>
 583           <td></td>
 584         </tr>
 585       </table>
 586   </td>
 587   <td class="mlabels-right">
 588 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 589   </tr>
 590 </table>
 591 </div><div class="memdoc">
 592
 593 <p>Accessor to remove the dimension n from the tensor shape. </p>
 594 <dl class="section note"><dt>Note</dt><dd>The upper dimensions of the tensor shape will be shifted down by 1</dd></dl>
 595 <dl class="params"><dt>Parameters</dt><dd>
 596   <table class="params">
 597     <tr><td class="paramdir">[in]</td><td class="paramname">n</td><td>Dimension to remove </td></tr>
 598   </table>
 599   </dd>
 600 </dl>
 601
 602 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00110">110</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 603
 604 <p>References <a class="el" href="_error_8h_source.xhtml#l00328">ARM_COMPUTE_ERROR_ON</a>, and <a class="el" href="reference_2_copy_8cpp_source.xhtml#l00037">arm_compute::test::validation::reference::copy()</a>.</p>
 605
 606 <p>Referenced by <a class="el" href="_shape_calculator_8h_source.xhtml#l00089">arm_compute::misc::shape_calculator::compute_reductionA_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00099">arm_compute::misc::shape_calculator::compute_reductionB_shape()</a>, and <a class="el" href="validation_2_c_l_2_dequantization_layer_8cpp_source.xhtml#l00054">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
 607 <div class="fragment"><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    {</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_num_dimensions &lt; 1);</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(n &gt;= _num_dimensions);</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">std::copy</a>(_id.begin() + n + 1, _id.end(), _id.begin() + n);</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        <span class="comment">// Reduce number of dimensions</span></div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        _num_dimensions--;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;        <span class="comment">// Make sure all empty dimensions are filled with 1</span></div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        std::fill(_id.begin() + _num_dimensions, _id.end(), 1);</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        <span class="comment">// Correct number dimensions to ignore trailing dimensions of size 1</span></div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        apply_dimension_correction();</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
 608 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ad9000ce99b9ffcec5722cade36d7e757"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">arm_compute::test::validation::reference::copy</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; copy(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;output_shape)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_copy_8cpp_source.xhtml#l00037">Copy.cpp:37</a></div></div>
 609 </div><!-- fragment -->
 610 </div>
 611 </div>
 612 <a class="anchor" id="a9c54fb6cea3557692fe7c00c40bb40ad"></a>
 613 <div class="memitem">
 614 <div class="memproto">
 615 <table class="mlabels">
 616   <tr>
 617   <td class="mlabels-left">
 618       <table class="memname">
 619         <tr>
 620           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&amp; set </td>
 621           <td>(</td>
 622           <td class="paramtype">size_t&#160;</td>
 623           <td class="paramname"><em>dimension</em>, </td>
 624         </tr>
 625         <tr>
 626           <td class="paramkey"></td>
 627           <td></td>
 628           <td class="paramtype">size_t&#160;</td>
 629           <td class="paramname"><em>value</em>, </td>
 630         </tr>
 631         <tr>
 632           <td class="paramkey"></td>
 633           <td></td>
 634           <td class="paramtype">bool&#160;</td>
 635           <td class="paramname"><em>apply_dim_correction</em> = <code>true</code>&#160;</td>
 636         </tr>
 637         <tr>
 638           <td></td>
 639           <td>)</td>
 640           <td></td><td></td>
 641         </tr>
 642       </table>
 643   </td>
 644   <td class="mlabels-right">
 645 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 646   </tr>
 647 </table>
 648 </div><div class="memdoc">
 649
 650 <p>Accessor to set the value of one of the dimensions. </p>
 651 <dl class="params"><dt>Parameters</dt><dd>
 652   <table class="params">
 653     <tr><td class="paramdir">[in]</td><td class="paramname">dimension</td><td>Dimension for which the value is set. </td></tr>
 654     <tr><td class="paramdir">[in]</td><td class="paramname">value</td><td>Value to be set for the dimension. </td></tr>
 655     <tr><td class="paramdir">[in]</td><td class="paramname">apply_dim_correction</td><td>Flag to state whether apply dimension correction after setting one dimension. E.g. when permuting NCHW -&gt; NHWC, 1x1x2 would become 2x1x1, but _num_dimensions should be 3 rather than 1.</td></tr>
 656   </table>
 657   </dd>
 658 </dl>
 659 <dl class="section return"><dt>Returns</dt><dd>*this. </dd></dl>
 660
 661 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00078">78</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 662
 663 <p>References <a class="el" href="_dimensions_8h_source.xhtml#l00074">Dimensions&lt; T &gt;::set()</a>.</p>
 664
 665 <p>Referenced by <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l00688">arm_compute::adjust_odd_shape()</a>, <a class="el" href="_tensor_shape_8h_source.xhtml#l00196">TensorShape::broadcast_shape()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l00651">arm_compute::calculate_depth_concatenate_shape()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l00715">arm_compute::calculate_subsampled_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00382">arm_compute::misc::shape_calculator::calculate_width_concatenate_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00110">arm_compute::misc::shape_calculator::compute_col2im_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00056">arm_compute::misc::shape_calculator::compute_interleaved_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00361">arm_compute::misc::shape_calculator::compute_mm_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00099">arm_compute::misc::shape_calculator::compute_reductionB_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00067">arm_compute::misc::shape_calculator::compute_transpose1xW_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00076">arm_compute::misc::shape_calculator::compute_transpose1xW_with_element_size_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00119">arm_compute::misc::shape_calculator::compute_transposed_shape()</a>, <a class="el" href="validation_2_n_e_o_n_2_depthwise_convolution_layer_8cpp_source.xhtml#l00057">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="reference_2_deconvolution_layer_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::deconvolution_layer()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00419">arm_compute::test::index2coord()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00303">arm_compute::index2coords()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00564">NPYLoader::init_tensor()</a>, <a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml#l00469">arm_compute::intersect_valid_regions()</a>, <a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml#l00553">arm_compute::permute()</a>, <a class="el" href="validation_2reference_2_scale_8cpp_source.xhtml#l00040">arm_compute::test::validation::reference::scale()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00222">arm_compute::test::shape_to_valid_region()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00256">arm_compute::test::shape_to_valid_region_gaussian_pyramid_half()</a>, and <a class="el" href="tests_2validation_2reference_2_utils_8cpp_source.xhtml#l00069">arm_compute::test::validation::transpose()</a>.</p>
 666 <div class="fragment"><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    {</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        <span class="comment">// Clear entire shape if one dimension is zero</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        <span class="keywordflow">if</span>(value == 0)</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        {</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;            _num_dimensions = 0;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;            std::fill(_id.begin(), _id.end(), 0);</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        }</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        {</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;            <span class="comment">// Make sure all empty dimensions are filled with 1</span></div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;            std::fill(_id.begin() + _num_dimensions, _id.end(), 1);</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;            <span class="comment">// Set the specified dimension and increase the number of dimensions if</span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;            <span class="comment">// necessary</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;            <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">Dimensions::set</a>(dimension, value);</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;            <span class="comment">// Correct number dimensions to ignore trailing dimensions of size 1</span></div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;            <span class="keywordflow">if</span>(apply_dim_correction)</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;            {</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;                apply_dimension_correction();</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;            }</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        }</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a982730e6f0da5f9490f59bc5f6bb3f27"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">arm_compute::Dimensions::set</a></div><div class="ttdeci">void set(size_t dimension, T value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00074">Dimensions.h:74</a></div></div>
 667 </div><!-- fragment -->
 668 </div>
 669 </div>
 670 <a class="anchor" id="a4eaec01ba2c12093db609d1034ad0bc1"></a>
 671 <div class="memitem">
 672 <div class="memproto">
 673 <table class="mlabels">
 674   <tr>
 675   <td class="mlabels-left">
 676       <table class="memname">
 677         <tr>
 678           <td class="memname">size_t total_size </td>
 679           <td>(</td>
 680           <td class="paramname"></td><td>)</td>
 681           <td> const</td>
 682         </tr>
 683       </table>
 684   </td>
 685   <td class="mlabels-right">
 686 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 687   </tr>
 688 </table>
 689 </div><div class="memdoc">
 690
 691 <p>Collapses all dimensions to a single linear total size. </p>
 692 <dl class="section return"><dt>Returns</dt><dd>The total tensor size in terms of elements. </dd></dl>
 693
 694 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00157">157</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 695
 696 <p>References <a class="el" href="accumulate_8cl_source.xhtml#l00041">accumulate()</a>.</p>
 697
 698 <p>Referenced by <a class="el" href="_helpers_8inl_source.xhtml#l00201">arm_compute::auto_init_if_empty()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00448">arm_compute::test::coord2index()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00322">arm_compute::coords2index()</a>, <a class="el" href="_tensor_shape_8cpp_source.xhtml#l00039">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="validation_2reference_2_depthwise_convolution_layer_8cpp_source.xhtml#l00122">arm_compute::test::validation::reference::depthwise_convolution()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00419">arm_compute::test::index2coord()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00303">arm_compute::index2coords()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00123">GCAccessor::num_elements()</a>, <a class="el" href="_accessor_8h_source.xhtml#l00122">Accessor::num_elements()</a>, <a class="el" href="_c_l_accessor_8h_source.xhtml#l00135">CLAccessor::num_elements()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00386">SimpleTensor&lt; T &gt;::num_elements()</a>, <a class="el" href="validation_2reference_2_reshape_layer_8cpp_source.xhtml#l00037">arm_compute::test::validation::reference::reshape_layer()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00237">arm_compute::set_shape_if_empty()</a>, and <a class="el" href="_sub_tensor_info_8h_source.xhtml#l00210">SubTensorInfo::set_valid_region()</a>.</p>
 699 <div class="fragment"><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    {</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(_id.begin(), _id.end(), 1, std::multiplies&lt;size_t&gt;());</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    }</div><div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div>
 700 </div><!-- fragment -->
 701 </div>
 702 </div>
 703 <a class="anchor" id="a1a82725c69bdbd17294caa129743984c"></a>
 704 <div class="memitem">
 705 <div class="memproto">
 706 <table class="mlabels">
 707   <tr>
 708   <td class="mlabels-left">
 709       <table class="memname">
 710         <tr>
 711           <td class="memname">size_t total_size_lower </td>
 712           <td>(</td>
 713           <td class="paramtype">size_t&#160;</td>
 714           <td class="paramname"><em>dimension</em></td><td>)</td>
 715           <td> const</td>
 716         </tr>
 717       </table>
 718   </td>
 719   <td class="mlabels-right">
 720 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 721   </tr>
 722 </table>
 723 </div><div class="memdoc">
 724
 725 <p>Compute size of dimensions lower than the given one. </p>
 726 <dl class="params"><dt>Parameters</dt><dd>
 727   <table class="params">
 728     <tr><td class="paramdir">[in]</td><td class="paramname">dimension</td><td>Upper boundary.</td></tr>
 729   </table>
 730   </dd>
 731 </dl>
 732 <dl class="section return"><dt>Returns</dt><dd>The linear size of the collapsed dimensions. </dd></dl>
 733
 734 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00179">179</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 735
 736 <p>References <a class="el" href="accumulate_8cl_source.xhtml#l00041">accumulate()</a>, <a class="el" href="_error_8h_source.xhtml#l00328">ARM_COMPUTE_ERROR_ON</a>, and <a class="el" href="_dimensions_8h_source.xhtml#l00045">Dimensions&lt; size_t &gt;::num_max_dimensions</a>.</p>
 737 <div class="fragment"><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    {</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;        <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension &gt; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">TensorShape::num_max_dimensions</a>);</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(_id.begin(), _id.begin() + dimension, 1, std::multiplies&lt;size_t&gt;());</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
 738 <div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div>
 739 <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a1b67d5b720119d50faa286c774579ecc"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">arm_compute::Dimensions&lt; size_t &gt;::num_max_dimensions</a></div><div class="ttdeci">static constexpr size_t num_max_dimensions</div><div class="ttdoc">Number of dimensions the tensor has. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00045">Dimensions.h:45</a></div></div>
 740 </div><!-- fragment -->
 741 </div>
 742 </div>
 743 <a class="anchor" id="a91d8061f66e7f8bc56da91d965f04376"></a>
 744 <div class="memitem">
 745 <div class="memproto">
 746 <table class="mlabels">
 747   <tr>
 748   <td class="mlabels-left">
 749       <table class="memname">
 750         <tr>
 751           <td class="memname">size_t total_size_upper </td>
 752           <td>(</td>
 753           <td class="paramtype">size_t&#160;</td>
 754           <td class="paramname"><em>dimension</em></td><td>)</td>
 755           <td> const</td>
 756         </tr>
 757       </table>
 758   </td>
 759   <td class="mlabels-right">
 760 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 761   </tr>
 762 </table>
 763 </div><div class="memdoc">
 764
 765 <p>Collapses given dimension and above. </p>
 766 <dl class="params"><dt>Parameters</dt><dd>
 767   <table class="params">
 768     <tr><td class="paramdir">[in]</td><td class="paramname">dimension</td><td>Size of the wanted dimension</td></tr>
 769   </table>
 770   </dd>
 771 </dl>
 772 <dl class="section return"><dt>Returns</dt><dd>The linear size of the collapsed dimensions </dd></dl>
 773
 774 <p>Definition at line <a class="el" href="_tensor_shape_8h_source.xhtml#l00167">167</a> of file <a class="el" href="_tensor_shape_8h_source.xhtml">TensorShape.h</a>.</p>
 775
 776 <p>References <a class="el" href="accumulate_8cl_source.xhtml#l00041">accumulate()</a>, <a class="el" href="_error_8h_source.xhtml#l00328">ARM_COMPUTE_ERROR_ON</a>, and <a class="el" href="_dimensions_8h_source.xhtml#l00045">Dimensions&lt; size_t &gt;::num_max_dimensions</a>.</p>
 777
 778 <p>Referenced by <a class="el" href="validation_2reference_2_fully_connected_layer_8cpp_source.xhtml#l00152">arm_compute::test::validation::reference::fully_connected_layer()</a>, and <a class="el" href="_assembly_helper_8h_source.xhtml#l00159">arm_compute::setup_assembly_kernel()</a>.</p>
 779 <div class="fragment"><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    {</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension &gt;= <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">TensorShape::num_max_dimensions</a>);</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(_id.begin() + dimension, _id.end(), 1, std::multiplies&lt;size_t&gt;());</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
 780 <div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div>
 781 <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a1b67d5b720119d50faa286c774579ecc"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">arm_compute::Dimensions&lt; size_t &gt;::num_max_dimensions</a></div><div class="ttdeci">static constexpr size_t num_max_dimensions</div><div class="ttdoc">Number of dimensions the tensor has. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00045">Dimensions.h:45</a></div></div>
 782 </div><!-- fragment -->
 783 </div>
 784 </div>
 785 <hr/>The documentation for this class was generated from the following file:<ul>
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 794     <li class="footer">Generated on Wed May 23 2018 11:36:43 for Compute Library by
 795     <a href="http://www.doxygen.org/index.html">
 796     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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