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 118   <div class="summary">
 119 <a href="#pub-methods">Public Member Functions</a>  </div>
 120   <div class="headertitle">
 121 <div class="title">NumPyBinLoader Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div>  </div>
 122 </div><!--header-->
 123 <div class="contents">
 124
 125 <p>Numpy Binary loader class.
 126  <a href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#details">More...</a></p>
 127
 128 <p><code>#include &lt;<a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a>&gt;</code></p>
 129 <div class="dynheader">
 130 Collaboration diagram for NumPyBinLoader:</div>
 131 <div class="dyncontent">
 132 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader__coll__graph.svg" width="143" height="112"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 133 </div>
 134 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 135 <table class="memberdecls">
 136 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 137 Public Member Functions</h2></td></tr>
 138 <tr class="memitem:ab708c11aea0f419821cd053e3e7dae89"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab708c11aea0f419821cd053e3e7dae89">NumPyBinLoader</a> (std::string filename)</td></tr>
 139 <tr class="memdesc:ab708c11aea0f419821cd053e3e7dae89"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default Constructor.  <a href="#ab708c11aea0f419821cd053e3e7dae89">More...</a><br /></td></tr>
 140 <tr class="separator:ab708c11aea0f419821cd053e3e7dae89"><td class="memSeparator" colspan="2">&#160;</td></tr>
 141 <tr class="memitem:a4f32ab9a631e79fe364fed57a1d0145b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a> (<a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> &amp;&amp;)=default</td></tr>
 142 <tr class="memdesc:a4f32ab9a631e79fe364fed57a1d0145b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allows instances to move constructed.  <a href="#a4f32ab9a631e79fe364fed57a1d0145b">More...</a><br /></td></tr>
 143 <tr class="separator:a4f32ab9a631e79fe364fed57a1d0145b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 144 <tr class="memitem:ab469d593b4bc92e1d1132a03de0aedca"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</a> (<a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &amp;tensor) override</td></tr>
 145 <tr class="memdesc:ab469d593b4bc92e1d1132a03de0aedca"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface to be implemented to access a given tensor.  <a href="#ab469d593b4bc92e1d1132a03de0aedca">More...</a><br /></td></tr>
 146 <tr class="separator:ab469d593b4bc92e1d1132a03de0aedca"><td class="memSeparator" colspan="2">&#160;</td></tr>
 147 <tr class="inherit_header pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">ITensorAccessor</a></td></tr>
 148 <tr class="memitem:a3c7f21c2eb00ab7ae1c18b1418c0d9c6 inherit pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a3c7f21c2eb00ab7ae1c18b1418c0d9c6">~ITensorAccessor</a> ()=default</td></tr>
 149 <tr class="memdesc:a3c7f21c2eb00ab7ae1c18b1418c0d9c6 inherit pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default virtual destructor.  <a href="#a3c7f21c2eb00ab7ae1c18b1418c0d9c6">More...</a><br /></td></tr>
 150 <tr class="separator:a3c7f21c2eb00ab7ae1c18b1418c0d9c6 inherit pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor"><td class="memSeparator" colspan="2">&#160;</td></tr>
 151 </table>
 152 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 153 <div class="textblock"><p>Numpy Binary loader class. </p>
 154
 155 <p>Definition at line <a class="el" href="_graph_utils_8h_source.xhtml#l00194">194</a> of file <a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a>.</p>
 156 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 157 <a class="anchor" id="ab708c11aea0f419821cd053e3e7dae89"></a>
 158 <div class="memitem">
 159 <div class="memproto">
 160       <table class="memname">
 161         <tr>
 162           <td class="memname"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> </td>
 163           <td>(</td>
 164           <td class="paramtype">std::string&#160;</td>
 165           <td class="paramname"><em>filename</em></td><td>)</td>
 166           <td></td>
 167         </tr>
 168       </table>
 169 </div><div class="memdoc">
 170
 171 <p>Default Constructor. </p>
 172 <dl class="params"><dt>Parameters</dt><dd>
 173   <table class="params">
 174     <tr><td class="paramname">filename</td><td>Binary file name </td></tr>
 175   </table>
 176   </dd>
 177 </dl>
 178
 179 <p>Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00328">328</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
 180 <div class="fragment"><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    : _filename(std::move(filename))</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;{</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;}</div></div><!-- fragment -->
 181 </div>
 182 </div>
 183 <a class="anchor" id="a4f32ab9a631e79fe364fed57a1d0145b"></a>
 184 <div class="memitem">
 185 <div class="memproto">
 186 <table class="mlabels">
 187   <tr>
 188   <td class="mlabels-left">
 189       <table class="memname">
 190         <tr>
 191           <td class="memname"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> </td>
 192           <td>(</td>
 193           <td class="paramtype"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> &amp;&amp;&#160;</td>
 194           <td class="paramname"></td><td>)</td>
 195           <td></td>
 196         </tr>
 197       </table>
 198   </td>
 199   <td class="mlabels-right">
 200 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 201   </tr>
 202 </table>
 203 </div><div class="memdoc">
 204
 205 <p>Allows instances to move constructed. </p>
 206
 207 </div>
 208 </div>
 209 <h2 class="groupheader">Member Function Documentation</h2>
 210 <a class="anchor" id="ab469d593b4bc92e1d1132a03de0aedca"></a>
 211 <div class="memitem">
 212 <div class="memproto">
 213 <table class="mlabels">
 214   <tr>
 215   <td class="mlabels-left">
 216       <table class="memname">
 217         <tr>
 218           <td class="memname">bool access_tensor </td>
 219           <td>(</td>
 220           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &amp;&#160;</td>
 221           <td class="paramname"><em>tensor</em></td><td>)</td>
 222           <td></td>
 223         </tr>
 224       </table>
 225   </td>
 226   <td class="mlabels-right">
 227 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 228   </tr>
 229 </table>
 230 </div><div class="memdoc">
 231
 232 <p>Interface to be implemented to access a given tensor. </p>
 233 <dl class="params"><dt>Parameters</dt><dd>
 234   <table class="params">
 235     <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to be accessed</td></tr>
 236   </table>
 237   </dd>
 238 </dl>
 239 <dl class="section return"><dt>Returns</dt><dd>True if access is successful else false </dd></dl>
 240
 241 <p>Implements <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665">ITensorAccessor</a>.</p>
 242
 243 <p>Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00333">333</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
 244
 245 <p>References <a class="el" href="core_2_error_8h_source.xhtml#l00297">ARM_COMPUTE_ERROR_ON_MSG</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">ITensor::buffer()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">ITensorInfo::element_size()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00256">BorderSize::empty()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00122">arm_compute::execute_window_loop()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00122">arm_compute::utils::get_typestring()</a>, <a class="el" href="hwc_8hpp_source.xhtml#l00269">header</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions&lt; T &gt;::num_dimensions()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">ITensorInfo::padding()</a>, <a class="el" href="_i_tensor_8h_source.xhtml#l00063">ITensor::ptr_to_element()</a>, <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00133">arm_compute::test::validation::shape</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">ITensorInfo::total_size()</a>, and <a class="el" href="_window_8inl_source.xhtml#l00240">Window::use_tensor_dimensions()</a>.</p>
 246 <div class="fragment"><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;{</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;    <span class="keyword">const</span> TensorShape          tensor_shape = tensor.info()-&gt;tensor_shape();</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    std::vector&lt;unsigned long&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>;</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;    <span class="comment">// Open file</span></div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;    std::ifstream stream(_filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(!stream.good(), <span class="stringliteral">&quot;Failed to load binary data&quot;</span>);</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;    std::string <a class="code" href="hwc_8hpp.xhtml#a9d9174de5edba1e56fbfd90dc5e60f75">header</a> = npy::read_header(stream);</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;    <span class="comment">// Parse header</span></div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;    <span class="keywordtype">bool</span>        fortran_order = <span class="keyword">false</span>;</div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;    std::string typestr;</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;    npy::parse_header(header, typestr, fortran_order, shape);</div><div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;    <span class="comment">// Check if the typestring matches the given one</span></div><div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;    std::string expect_typestr = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">arm_compute::utils::get_typestring</a>(tensor.info()-&gt;data_type());</div><div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(typestr != expect_typestr, <span class="stringliteral">&quot;Typestrings mismatch&quot;</span>);</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;    <span class="comment">// Reverse vector in case of non fortran order</span></div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;    <span class="keywordflow">if</span>(!fortran_order)</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;    {</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;        std::reverse(shape.begin(), shape.end());</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;    }</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;</div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;    <span class="comment">// Correct dimensions (Needs to match TensorShape dimension corrections)</span></div><div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;    <span class="keywordflow">if</span>(shape.size() != tensor_shape.num_dimensions())</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;    {</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = static_cast&lt;int&gt;(shape.size()) - 1; i &gt; 0; --i)</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;        {</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;            <span class="keywordflow">if</span>(shape[i] == 1)</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;            {</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;                shape.pop_back();</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;            }</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;            <span class="keywordflow">else</span></div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;            {</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;            }</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;        }</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;    }</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    <span class="comment">// Validate tensor ranks</span></div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(shape.size() != tensor_shape.num_dimensions(), <span class="stringliteral">&quot;Tensor ranks mismatch&quot;</span>);</div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;    <span class="comment">// Validate shapes</span></div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; shape.size(); ++i)</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;    {</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(tensor_shape[i] != shape[i], <span class="stringliteral">&quot;Tensor dimensions mismatch&quot;</span>);</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;    }</div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;    <span class="comment">// Read data</span></div><div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;    <span class="keywordflow">if</span>(tensor.info()-&gt;padding().empty() &amp;&amp; (<span class="keyword">dynamic_cast&lt;</span>SubTensor *<span class="keyword">&gt;</span>(&amp;tensor) == <span class="keyword">nullptr</span>))</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;    {</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;        <span class="comment">// If tensor has no padding read directly from stream.</span></div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;        stream.read(reinterpret_cast&lt;char *&gt;(tensor.buffer()), tensor.info()-&gt;total_size());</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    }</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;    {</div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;        <span class="comment">// If tensor has padding accessing tensor elements through execution window.</span></div><div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;        Window window;</div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;        window.use_tensor_dimensions(tensor_shape);</div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;        <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> Coordinates &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;        {</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;            stream.read(reinterpret_cast&lt;char *&gt;(tensor.ptr_to_element(<span class="keywordtype">id</span>)), tensor.info()-&gt;element_size());</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;        });</div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;    }</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1v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 247 <div class="ttc" id="hwc_8hpp_xhtml_a9d9174de5edba1e56fbfd90dc5e60f75"><div class="ttname"><a href="hwc_8hpp.xhtml#a9d9174de5edba1e56fbfd90dc5e60f75">header</a></div><div class="ttdeci">union kbase_uk_hwcnt_header header</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00269">hwc.hpp:269</a></div></div>
 248 <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a7990fd2b875e2f6d4c1eded54539cb19"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">arm_compute::utils::get_typestring</a></div><div class="ttdeci">std::string get_typestring(DataType data_type)</div><div class="ttdoc">Obtain numpy type string from DataType. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00122">Utils.h:122</a></div></div>
 249 <div class="ttc" id="namespacearm__compute_xhtml_a6c0dcc38187027dcb89cd9724bc5a823"><div class="ttname"><a href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;...iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00122">Helpers.inl:122</a></div></div>
 250 <div class="ttc" id="core_2_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00297">Error.h:297</a></div></div>
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