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 <a href="#pub-methods">Public Member Functions</a> &#124;
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 <div class="title">CLArithmeticDivisionKernel Class Reference</div>  </div>
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 <p>Interface for the arithmetic division kernel.
  <a href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#details">More...</a></p>

 <p><code>#include &lt;<a class="el" href="_c_l_arithmetic_division_kernel_8h_source.xhtml">CLArithmeticDivisionKernel.h</a>&gt;</code></p>
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 Collaboration diagram for CLArithmeticDivisionKernel:</div>
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 <table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 Public Member Functions</h2></td></tr>
 <tr class="memitem:a37f82a3ebd082f363351967d27a6a574"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a37f82a3ebd082f363351967d27a6a574">CLArithmeticDivisionKernel</a> ()</td></tr>
 <tr class="memdesc:a37f82a3ebd082f363351967d27a6a574"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#a37f82a3ebd082f363351967d27a6a574">More...</a><br /></td></tr>
 <tr class="separator:a37f82a3ebd082f363351967d27a6a574"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a24fbe10bbd3e395c17d6c367fc848956"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a24fbe10bbd3e395c17d6c367fc848956">CLArithmeticDivisionKernel</a> (const <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;)=delete</td></tr>
 <tr class="memdesc:a24fbe10bbd3e395c17d6c367fc848956"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#a24fbe10bbd3e395c17d6c367fc848956">More...</a><br /></td></tr>
 <tr class="separator:a24fbe10bbd3e395c17d6c367fc848956"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aadc6471a53d8e91fe9406609cef75065"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aadc6471a53d8e91fe9406609cef75065">operator=</a> (const <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;)=delete</td></tr>
 <tr class="memdesc:aadc6471a53d8e91fe9406609cef75065"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#aadc6471a53d8e91fe9406609cef75065">More...</a><br /></td></tr>
 <tr class="separator:aadc6471a53d8e91fe9406609cef75065"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a6678fe2133063d1333069662ab0849ca"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a6678fe2133063d1333069662ab0849ca">CLArithmeticDivisionKernel</a> (<a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;&amp;)=default</td></tr>
 <tr class="memdesc:a6678fe2133063d1333069662ab0849ca"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved.  <a href="#a6678fe2133063d1333069662ab0849ca">More...</a><br /></td></tr>
 <tr class="separator:a6678fe2133063d1333069662ab0849ca"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aeb08cc8fb5c42b9ad946cc3b75af0323"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aeb08cc8fb5c42b9ad946cc3b75af0323">operator=</a> (<a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;&amp;)=default</td></tr>
 <tr class="memdesc:aeb08cc8fb5c42b9ad946cc3b75af0323"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved.  <a href="#aeb08cc8fb5c42b9ad946cc3b75af0323">More...</a><br /></td></tr>
 <tr class="separator:aeb08cc8fb5c42b9ad946cc3b75af0323"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aaafc0a9997bc9056b7e2380295845b08"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aaafc0a9997bc9056b7e2380295845b08">~CLArithmeticDivisionKernel</a> ()=default</td></tr>
 <tr class="memdesc:aaafc0a9997bc9056b7e2380295845b08"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor.  <a href="#aaafc0a9997bc9056b7e2380295845b08">More...</a><br /></td></tr>
 <tr class="separator:aaafc0a9997bc9056b7e2380295845b08"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:af53d66a8f8dd368d3c06b43c0c6a12f1"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1">configure</a> (const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input1, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input2, <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output)</td></tr>
 <tr class="memdesc:af53d66a8f8dd368d3c06b43c0c6a12f1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialise the kernel's inputs, output.  <a href="#af53d66a8f8dd368d3c06b43c0c6a12f1">More...</a><br /></td></tr>
 <tr class="separator:af53d66a8f8dd368d3c06b43c0c6a12f1"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a493987e85723a8000eb26d1f00e2ad0e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, cl::CommandQueue &amp;queue) override</td></tr>
 <tr class="memdesc:a493987e85723a8000eb26d1f00e2ad0e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.  <a href="#a493987e85723a8000eb26d1f00e2ad0e">More...</a><br /></td></tr>
 <tr class="separator:a493987e85723a8000eb26d1f00e2ad0e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a423f9a45a52983b4de5e2b347f4369c7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a> () const override</td></tr>
 <tr class="memdesc:a423f9a45a52983b4de5e2b347f4369c7"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel.  <a href="#a423f9a45a52983b4de5e2b347f4369c7">More...</a><br /></td></tr>
 <tr class="separator:a423f9a45a52983b4de5e2b347f4369c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_l_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_l_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></td></tr>
 <tr class="memitem:a6b10e96ce90bf901d17def86b874b019 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6b10e96ce90bf901d17def86b874b019">ICLKernel</a> ()</td></tr>
 <tr class="memdesc:a6b10e96ce90bf901d17def86b874b019 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6b10e96ce90bf901d17def86b874b019">More...</a><br /></td></tr>
 <tr class="separator:a6b10e96ce90bf901d17def86b874b019 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ae5121015ab09ece4d470f50c7ffe198e inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">cl::Kernel &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ae5121015ab09ece4d470f50c7ffe198e">kernel</a> ()</td></tr>
 <tr class="memdesc:ae5121015ab09ece4d470f50c7ffe198e inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a reference to the OpenCL kernel of this object.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ae5121015ab09ece4d470f50c7ffe198e">More...</a><br /></td></tr>
 <tr class="separator:ae5121015ab09ece4d470f50c7ffe198e inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 <tr class="memitem:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">add_1D_array_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>&lt; T &gt; *array, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;strides, unsigned int num_dimensions, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
 <tr class="memdesc:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 1D array's parameters to the object's kernel's arguments starting from the index idx.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">More...</a><br /></td></tr>
 <tr class="separator:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a479e7043e65dc87de35d374e108510f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">add_1D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
 <tr class="memdesc:a479e7043e65dc87de35d374e108510f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">More...</a><br /></td></tr>
 <tr class="separator:a479e7043e65dc87de35d374e108510f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ac74dad3e61f79334f5e73f3c3ac603cb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">add_2D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
 <tr class="memdesc:ac74dad3e61f79334f5e73f3c3ac603cb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">More...</a><br /></td></tr>
 <tr class="separator:ac74dad3e61f79334f5e73f3c3ac603cb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a28f5847162f352444c6ac1825d0e99c7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
 <tr class="memdesc:a28f5847162f352444c6ac1825d0e99c7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">More...</a><br /></td></tr>
 <tr class="separator:a28f5847162f352444c6ac1825d0e99c7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a33e09c946b338fbfc780a9d1c66e68ad inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">add_4D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
 <tr class="memdesc:a33e09c946b338fbfc780a9d1c66e68ad inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 4D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">More...</a><br /></td></tr>
 <tr class="separator:a33e09c946b338fbfc780a9d1c66e68ad inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 <tr class="memitem:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">add_argument</a> (unsigned int &amp;idx, T value)</td></tr>
 <tr class="memdesc:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed parameters to the object's kernel's arguments starting from the index idx.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">More...</a><br /></td></tr>
 <tr class="separator:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ad356b88c8f61267d593d9ed99835bde9 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad356b88c8f61267d593d9ed99835bde9">set_lws_hint</a> (const cl::NDRange &amp;<a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">lws_hint</a>)</td></tr>
 <tr class="memdesc:ad356b88c8f61267d593d9ed99835bde9 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the Local-Workgroup-Size hint.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad356b88c8f61267d593d9ed99835bde9">More...</a><br /></td></tr>
 <tr class="separator:ad356b88c8f61267d593d9ed99835bde9 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ab9f813c25ed75ea7b7ac2fa3926a8f55 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">cl::NDRange&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">lws_hint</a> () const</td></tr>
 <tr class="memdesc:ab9f813c25ed75ea7b7ac2fa3926a8f55 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the Local-Workgroup-Size hint.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">More...</a><br /></td></tr>
 <tr class="separator:ab9f813c25ed75ea7b7ac2fa3926a8f55 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a8f7f6ab59fc0e601d750b83e75a398eb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">const std::string &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a8f7f6ab59fc0e601d750b83e75a398eb">config_id</a> () const</td></tr>
 <tr class="memdesc:a8f7f6ab59fc0e601d750b83e75a398eb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the configuration ID.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a8f7f6ab59fc0e601d750b83e75a398eb">More...</a><br /></td></tr>
 <tr class="separator:a8f7f6ab59fc0e601d750b83e75a398eb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">set_target</a> (<a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> target)</td></tr>
 <tr class="memdesc:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the targeted GPU architecture.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">More...</a><br /></td></tr>
 <tr class="separator:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a57e5f498fcbfc25c28b8496dfa3fc33c inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a57e5f498fcbfc25c28b8496dfa3fc33c">set_target</a> (cl::Device &amp;device)</td></tr>
 <tr class="memdesc:a57e5f498fcbfc25c28b8496dfa3fc33c inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the targeted GPU architecture according to the CL device.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a57e5f498fcbfc25c28b8496dfa3fc33c">More...</a><br /></td></tr>
 <tr class="separator:a57e5f498fcbfc25c28b8496dfa3fc33c inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">get_target</a> () const</td></tr>
 <tr class="memdesc:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the targeted GPU architecture.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">More...</a><br /></td></tr>
 <tr class="separator:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:abca336f832d730e8494049bd714df60a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">get_max_workgroup_size</a> ()</td></tr>
 <tr class="memdesc:abca336f832d730e8494049bd714df60a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the maximum workgroup size for the device the <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml" title="CLKernelLibrary class. ">CLKernelLibrary</a> uses.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">More...</a><br /></td></tr>
 <tr class="separator:abca336f832d730e8494049bd714df60a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a2d7c6b5f3332604ad6a637457f65c342 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template&lt;typename T , unsigned int dimension_size&gt; </td></tr>
 <tr class="memitem:a2d7c6b5f3332604ad6a637457f65c342 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">add_array_argument</a> (unsigned &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>&lt; T &gt; *array, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;strides, unsigned int num_dimensions, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
 <tr class="memdesc:a2d7c6b5f3332604ad6a637457f65c342 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed array's parameters to the object's kernel's arguments starting from the index idx.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">More...</a><br /></td></tr>
 <tr class="separator:a2d7c6b5f3332604ad6a637457f65c342 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aa0191633c258a30cc27e35b99b663aac inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template&lt;unsigned int dimension_size&gt; </td></tr>
 <tr class="memitem:aa0191633c258a30cc27e35b99b663aac inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#aa0191633c258a30cc27e35b99b663aac">add_tensor_argument</a> (unsigned &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
 <tr class="separator:aa0191633c258a30cc27e35b99b663aac inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr>
 <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr>
 <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
 <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr>
 <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor.  <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
 <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr>
 <tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indicates whether or not the kernel is parallelisable.  <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr>
 <tr class="separator:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr>
 <tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The maximum window the kernel can be executed on.  <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr>
 <tr class="separator:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table><table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
 Static Public Member Functions</h2></td></tr>
 <tr class="memitem:afe71126bef1735fe1613a6da30d2c0c4"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output)</td></tr>
 <tr class="memdesc:afe71126bef1735fe1613a6da30d2c0c4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a>.  <a href="#afe71126bef1735fe1613a6da30d2c0c4">More...</a><br /></td></tr>
 <tr class="separator:afe71126bef1735fe1613a6da30d2c0c4"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="inherit_header pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarm__compute_1_1_i_c_l_kernel')"><img src="closed.png" alt="-"/>&#160;Static Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></td></tr>
 <tr class="memitem:a278f0e6c68ca17e71f4c4ff82f360aa0 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a278f0e6c68ca17e71f4c4ff82f360aa0">num_arguments_per_1D_array</a> ()</td></tr>
 <tr class="memdesc:a278f0e6c68ca17e71f4c4ff82f360aa0 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 1D array object.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a278f0e6c68ca17e71f4c4ff82f360aa0">More...</a><br /></td></tr>
 <tr class="separator:a278f0e6c68ca17e71f4c4ff82f360aa0 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a43b6c5e4b57069c5f61e96dff24c212d inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a43b6c5e4b57069c5f61e96dff24c212d">num_arguments_per_1D_tensor</a> ()</td></tr>
 <tr class="memdesc:a43b6c5e4b57069c5f61e96dff24c212d inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 1D tensor object.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a43b6c5e4b57069c5f61e96dff24c212d">More...</a><br /></td></tr>
 <tr class="separator:a43b6c5e4b57069c5f61e96dff24c212d inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a45601e0d46621a5b6f2e417d60e5c800 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a45601e0d46621a5b6f2e417d60e5c800">num_arguments_per_2D_tensor</a> ()</td></tr>
 <tr class="memdesc:a45601e0d46621a5b6f2e417d60e5c800 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 2D tensor object.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a45601e0d46621a5b6f2e417d60e5c800">More...</a><br /></td></tr>
 <tr class="separator:a45601e0d46621a5b6f2e417d60e5c800 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a6c9c1e7a7d96743375ca40847f0f12e2 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">num_arguments_per_3D_tensor</a> ()</td></tr>
 <tr class="memdesc:a6c9c1e7a7d96743375ca40847f0f12e2 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 3D tensor object.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">More...</a><br /></td></tr>
 <tr class="separator:a6c9c1e7a7d96743375ca40847f0f12e2 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a184fdf37587a9314cf12623accea6c73 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a184fdf37587a9314cf12623accea6c73">num_arguments_per_4D_tensor</a> ()</td></tr>
 <tr class="memdesc:a184fdf37587a9314cf12623accea6c73 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 4D tensor object.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a184fdf37587a9314cf12623accea6c73">More...</a><br /></td></tr>
 <tr class="separator:a184fdf37587a9314cf12623accea6c73 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a6c01790e4e3f22f70f69002f0cb1b913 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static cl::NDRange&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c01790e4e3f22f70f69002f0cb1b913">gws_from_window</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
 <tr class="memdesc:a6c01790e4e3f22f70f69002f0cb1b913 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the global work size given an execution window.  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c01790e4e3f22f70f69002f0cb1b913">More...</a><br /></td></tr>
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 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 <div class="textblock"><p>Interface for the arithmetic division kernel. </p>
 <p>Arithmetic division is computed by: </p><p class="formulaDsp">
 \[ output(x,y) = input1(x,y) / input2(x,y) \]
 </p>

 <p class="definition">Definition at line <a class="el" href="_c_l_arithmetic_division_kernel_8h_source.xhtml#l00039">39</a> of file <a class="el" href="_c_l_arithmetic_division_kernel_8h_source.xhtml">CLArithmeticDivisionKernel.h</a>.</p>
 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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 <h2 class="memtitle"><span class="permalink"><a href="#a37f82a3ebd082f363351967d27a6a574">&#9670;&nbsp;</a></span>CLArithmeticDivisionKernel() <span class="overload">[1/3]</span></h2>

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           <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> </td>
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 <p>Default constructor. </p>

 <p class="definition">Definition at line <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml#l00097">97</a> of file <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml">CLArithmeticDivisionKernel.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    : _input1(<span class="keyword">nullptr</span>), _input2(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>)</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><!-- fragment -->
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 <h2 class="memtitle"><span class="permalink"><a href="#a24fbe10bbd3e395c17d6c367fc848956">&#9670;&nbsp;</a></span>CLArithmeticDivisionKernel() <span class="overload">[2/3]</span></h2>

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           <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;&#160;</td>
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 <p>Prevent instances of this class from being copied (As this class contains pointers) </p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a6678fe2133063d1333069662ab0849ca">&#9670;&nbsp;</a></span>CLArithmeticDivisionKernel() <span class="overload">[3/3]</span></h2>

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           <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> </td>
           <td>(</td>
           <td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;&amp;&#160;</td>
           <td class="paramname"></td><td>)</td>
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 <p>Allow instances of this class to be moved. </p>

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 <h2 class="memtitle"><span class="permalink"><a href="#aaafc0a9997bc9056b7e2380295845b08">&#9670;&nbsp;</a></span>~CLArithmeticDivisionKernel()</h2>

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           <td class="memname">~<a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> </td>
           <td>(</td>
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 <p>Default destructor. </p>

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 <h2 class="groupheader">Member Function Documentation</h2>
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 <h2 class="memtitle"><span class="permalink"><a href="#a423f9a45a52983b4de5e2b347f4369c7">&#9670;&nbsp;</a></span>border_size()</h2>

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           <td class="memname"><a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size </td>
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 <p>The size of the border for that kernel. </p>
 <dl class="section return"><dt>Returns</dt><dd>The width in number of elements of the border. </dd></dl>

 <p>Reimplemented from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">IKernel</a>.</p>

 <p class="definition">Definition at line <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml#l00180">180</a> of file <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml">CLArithmeticDivisionKernel.cpp</a>.</p>

 <p class="reference">References <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, and <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::U</a>.</p>
 <div class="fragment"><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;{</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> replicateSize = _output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0) - std::min(_input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0), _input2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0));</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> border        = std::min&lt;unsigned int&gt;(num_elems_processed_per_iteration - 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, replicateSize);</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>(0, border, 0, 0);</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension. </div></div>
 <div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00294">Types.h:294</a></div></div>
 <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>
 <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor&amp;#39;s metadata. </div></div>
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 <h2 class="memtitle"><span class="permalink"><a href="#af53d66a8f8dd368d3c06b43c0c6a12f1">&#9670;&nbsp;</a></span>configure()</h2>

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           <td class="memname">void configure </td>
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           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
           <td class="paramname"><em>input1</em>, </td>
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 <p>Initialise the kernel's inputs, output. </p>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">input1</td><td>First tensor input. Data types supported: F16/F32. </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">input2</td><td>Second tensor input. Data types supported: Same as <code>input1</code>. </td></tr>
     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Output tensor. Data types supported: Same as <code>input1</code>. </td></tr>
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 <p class="definition">Definition at line <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml#l00102">102</a> of file <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml">CLArithmeticDivisionKernel.cpp</a>.</p>

 <p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00327">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l00895">CLKernelLibrary::create_kernel()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l00889">CLKernelLibrary::get()</a>, <a class="el" href="_c_l_helpers_8cpp_source.xhtml#l00035">arm_compute::get_cl_type_from_data_type()</a>, and <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>.</p>
 <div class="fragment"><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;{</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input1, input2, output);</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), input2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()));</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    <span class="keyword">auto</span> win_config = validate_and_configure_window(input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), input2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>());</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(win_config.first);</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    _input1 = input1;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    _input2 = input2;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    _output = output;</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;    <span class="comment">// Set kernel build options</span></div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    std::set&lt;std::string&gt; build_opts;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    build_opts.emplace(<span class="stringliteral">&quot;-DDATA_TYPE_IN1=&quot;</span> + <a class="code" href="namespacearm__compute.xhtml#a545eeda2eaa3f5a54345ce8169e21184">get_cl_type_from_data_type</a>(input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>()));</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    build_opts.emplace(<span class="stringliteral">&quot;-DDATA_TYPE_IN2=&quot;</span> + <a class="code" href="namespacearm__compute.xhtml#a545eeda2eaa3f5a54345ce8169e21184">get_cl_type_from_data_type</a>(input2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>()));</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    build_opts.emplace(<span class="stringliteral">&quot;-DDATA_TYPE_OUT=&quot;</span> + <a class="code" href="namespacearm__compute.xhtml#a545eeda2eaa3f5a54345ce8169e21184">get_cl_type_from_data_type</a>(output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>()));</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <span class="comment">// Create kernel</span></div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    _kernel = <span class="keyword">static_cast&lt;</span>cl::Kernel<span class="keyword">&gt;</span>(<a class="code" href="classarm__compute_1_1_c_l_kernel_library.xhtml#acba005f5ce2c62cbf3f94d074d9007aa">CLKernelLibrary::get</a>().<a class="code" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a8c2942ccd8b3f3b82e3edb7950a9e414">create_kernel</a>(<span class="stringliteral">&quot;arithmetic_div&quot;</span>, build_opts));</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    ICLKernel::configure_internal(win_config.second);</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor. </div></div>
 <div class="ttc" id="classarm__compute_1_1_c_l_kernel_library_xhtml_acba005f5ce2c62cbf3f94d074d9007aa"><div class="ttname"><a href="classarm__compute_1_1_c_l_kernel_library.xhtml#acba005f5ce2c62cbf3f94d074d9007aa">arm_compute::CLKernelLibrary::get</a></div><div class="ttdeci">static CLKernelLibrary &amp; get()</div><div class="ttdoc">Access the KernelLibrary singleton. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l00889">CLKernelLibrary.cpp:889</a></div></div>
 <div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00327">Error.h:327</a></div></div>
 <div class="ttc" id="namespacearm__compute_xhtml_a545eeda2eaa3f5a54345ce8169e21184"><div class="ttname"><a href="namespacearm__compute.xhtml#a545eeda2eaa3f5a54345ce8169e21184">arm_compute::get_cl_type_from_data_type</a></div><div class="ttdeci">std::string get_cl_type_from_data_type(const DataType &amp;dt)</div><div class="ttdoc">Translates a tensor data type to the appropriate OpenCL type. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_helpers_8cpp_source.xhtml#l00035">CLHelpers.cpp:35</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor&amp;#39;s metadata. </div></div>
 <div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_c_l_kernel_library_xhtml_a8c2942ccd8b3f3b82e3edb7950a9e414"><div class="ttname"><a href="classarm__compute_1_1_c_l_kernel_library.xhtml#a8c2942ccd8b3f3b82e3edb7950a9e414">arm_compute::CLKernelLibrary::create_kernel</a></div><div class="ttdeci">Kernel create_kernel(const std::string &amp;kernel_name, const StringSet &amp;build_options_set={}) const</div><div class="ttdoc">Creates a kernel from the kernel library. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l00895">CLKernelLibrary.cpp:895</a></div></div>
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 <h2 class="memtitle"><span class="permalink"><a href="#aadc6471a53d8e91fe9406609cef75065">&#9670;&nbsp;</a></span>operator=() <span class="overload">[1/2]</span></h2>

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           <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a>&amp; operator= </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;&#160;</td>
           <td class="paramname"></td><td>)</td>
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 <p>Prevent instances of this class from being copied (As this class contains pointers) </p>

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 <h2 class="memtitle"><span class="permalink"><a href="#aeb08cc8fb5c42b9ad946cc3b75af0323">&#9670;&nbsp;</a></span>operator=() <span class="overload">[2/2]</span></h2>

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           <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a>&amp; operator= </td>
           <td>(</td>
           <td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a> &amp;&amp;&#160;</td>
           <td class="paramname"></td><td>)</td>
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 <h2 class="memtitle"><span class="permalink"><a href="#a493987e85723a8000eb26d1f00e2ad0e">&#9670;&nbsp;</a></span>run()</h2>

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           <td class="memname">void run </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
           <td class="paramname"><em>window</em>, </td>
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 <p>Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. </p>
 <dl class="section note"><dt>Note</dt><dd>The queue is <em>not</em> flushed by this method, and therefore the kernel will not have been executed by the time this method returns.</dd></dl>
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     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a valid region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on. ">window()</a>). </td></tr>
     <tr><td class="paramdir">[in,out]</td><td class="paramname">queue</td><td>Command queue on which to enqueue the kernel. </td></tr>
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 <p>Implements <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51">ICLKernel</a>.</p>

 <p class="definition">Definition at line <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml#l00135">135</a> of file <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml">CLArithmeticDivisionKernel.cpp</a>.</p>

 <p class="reference">References <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00130">ICLKernel::add_3D_tensor_argument()</a>, <a class="el" href="_validate_8h_source.xhtml#l00205">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>, <a class="el" href="_validate_8h_source.xhtml#l00940">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_window_8inl_source.xhtml#l00099">Window::broadcast_if_dimension_le_one()</a>, <a class="el" href="_window_8inl_source.xhtml#l00047">Window::collapse_if_possible()</a>, <a class="el" href="_tensor_shape_8h_source.xhtml#l00160">TensorShape::collapsed_from()</a>, <a class="el" href="_window_8h_source.xhtml#l00047">Window::DimZ</a>, <a class="el" href="_i_c_l_kernel_8cpp_source.xhtml#l00039">arm_compute::enqueue()</a>, <a class="el" href="_window_8h_source.xhtml#l00268">Window::first_slice_window_3D()</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="_slice_operations_8cpp_source.xhtml#l00037">arm_compute::test::validation::reference::slice()</a>, <a class="el" href="_window_8h_source.xhtml#l00312">Window::slide_window_slice_3D()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="_tensor_shape_8h_source.xhtml#l00171">TensorShape::total_size()</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p>
 <div class="fragment"><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;{</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">ICLKernel::window</a>(), window);</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;in_shape1 = _input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>();</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;in_shape2 = _input2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>();</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;out_shape = _output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>();</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    <span class="keywordtype">bool</span> can_collapse = <span class="keyword">true</span>;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <span class="keywordflow">if</span>(std::min(in_shape1.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb">total_size</a>(), in_shape2.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb">total_size</a>()) &gt; 1)</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    {</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;        can_collapse = (std::min(in_shape1.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>(), in_shape2.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>()) &gt; <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>);</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>; can_collapse &amp;&amp; (d &lt; out_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>()); d++)</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        {</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;            can_collapse = (in_shape1[d] == in_shape2[d]);</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        }</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    }</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="keywordtype">bool</span>   has_collapsed = <span class="keyword">false</span>;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> collapsed     = can_collapse ? window.<a class="code" href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">collapse_if_possible</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">ICLKernel::window</a>(), <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, &amp;has_collapsed) : <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;in_shape1_collapsed = has_collapsed ? in_shape1.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#af0d754a1bb2ae68b5d2f1aacc1794817">collapsed_from</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>) : in_shape1;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;in_shape2_collapsed = has_collapsed ? in_shape2.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#af0d754a1bb2ae68b5d2f1aacc1794817">collapsed_from</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>) : in_shape2;</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>        = collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> slice_input1 = slice.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in_shape1_collapsed);</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> slice_input2 = slice.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in_shape2_collapsed);</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="keywordflow">do</span></div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    {</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0;</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;        <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a>(idx, _input1, slice_input1);</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a>(idx, _input2, slice_input2);</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a>(idx, _output, slice);</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        <a class="code" href="namespacearm__compute.xhtml#a1e48b7cf7de6a52575088cb7082d2b3e">enqueue</a>(queue, *<span class="keyword">this</span>, slice);</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;        collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(slice_input1);</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;        collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(slice_input2);</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    }</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    <span class="keywordflow">while</span>(collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(slice));</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window &amp; window() const</div><div class="ttdoc">The maximum window the kernel can be executed on. </div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_af0d754a1bb2ae68b5d2f1aacc1794817"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#af0d754a1bb2ae68b5d2f1aacc1794817">arm_compute::TensorShape::collapsed_from</a></div><div class="ttdeci">TensorShape collapsed_from(size_t start) const</div><div class="ttdoc">Return a copy with collapsed dimensions starting from a given point. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00160">TensorShape.h:160</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a28f5847162f352444c6ac1825d0e99c7"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">arm_compute::ICLKernel::add_3D_tensor_argument</a></div><div class="ttdeci">void add_3D_tensor_argument(unsigned int &amp;idx, const ICLTensor *tensor, const Window &amp;window)</div><div class="ttdoc">Add the passed 3D tensor&amp;#39;s parameters to the object&amp;#39;s kernel&amp;#39;s arguments starting from the index idx...</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00130">ICLKernel.h:130</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_window_xhtml_a663ce71e1992366180fcb85b0a874e2f"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">arm_compute::Window::collapse_if_possible</a></div><div class="ttdeci">Window collapse_if_possible(const Window &amp;full_window, size_t first, size_t last, bool *has_collapsed=nullptr) const</div><div class="ttdoc">Collapse the dimensions between first and last if possible. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00047">Window.inl:47</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape &amp; tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor. </div></div>
 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a0fdcb923dfd4c74858cc2bc326321efb"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb">arm_compute::TensorShape::total_size</a></div><div class="ttdeci">size_t total_size() const</div><div class="ttdoc">Collapses all dimensions to a single linear total size. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00171">TensorShape.h:171</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor&amp;#39;s metadata. </div></div>
 <div class="ttc" id="classarm__compute_1_1_window_xhtml_ae20ec28555d4473419cae37cf120f35d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">arm_compute::Window::broadcast_if_dimension_le_one</a></div><div class="ttdeci">Window broadcast_if_dimension_le_one(const TensorShape &amp;shape) const</div><div class="ttdoc">Don&amp;#39;t advance in the dimension where shape is less equal to 1. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00099">Window.inl:99</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_window_xhtml_aac792e3a11bc73bafafc4f4284c7f215"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">arm_compute::Window::slide_window_slice_3D</a></div><div class="ttdeci">bool slide_window_slice_3D(Window &amp;slice) const</div><div class="ttdoc">Slide the passed 3D window slice. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00312">Window.h:312</a></div></div>
 <div class="ttc" id="namespacearm__compute_xhtml_a1e48b7cf7de6a52575088cb7082d2b3e"><div class="ttname"><a href="namespacearm__compute.xhtml#a1e48b7cf7de6a52575088cb7082d2b3e">arm_compute::enqueue</a></div><div class="ttdeci">void enqueue(cl::CommandQueue &amp;queue, ICLKernel &amp;kernel, const Window &amp;window, const cl::NDRange &amp;lws_hint=CLKernelLibrary::get().default_ndrange())</div><div class="ttdoc">Add the kernel to the command queue with the given window. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8cpp_source.xhtml#l00039">ICLKernel.cpp:39</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_window_xhtml_a893d17b56b9abc4423ce26e9a24ac5dc"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a></div><div class="ttdeci">static constexpr size_t DimZ</div><div class="ttdoc">Alias for dimension 2 also known as Z dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00047">Window.h:47</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a80a5f2d6e3a697c9aad893a3b4242615"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">arm_compute::Dimensions::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>
 <div class="ttc" id="classarm__compute_1_1_window_xhtml_a30ca5bdbb60ee281d7f1ab34f7a4ee40"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">arm_compute::Window::first_slice_window_3D</a></div><div class="ttdeci">Window first_slice_window_3D() const</div><div class="ttdoc">First 3D slice of the window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00268">Window.h:268</a></div></div>
 <div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
 <div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00940">Validate.h:940</a></div></div>
 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a548131b3d37da47a2e9d32111c88dfe1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">arm_compute::test::validation::reference::slice</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; slice(const SimpleTensor&lt; T &gt; &amp;src, Coordinates starts, Coordinates ends)</div><div class="ttdef"><b>Definition:</b> <a href="_slice_operations_8cpp_source.xhtml#l00037">SliceOperations.cpp:37</a></div></div>
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 <h2 class="memtitle"><span class="permalink"><a href="#afe71126bef1735fe1613a6da30d2c0c4">&#9670;&nbsp;</a></span>validate()</h2>

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           <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
           <td class="paramname"><em>input1</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
           <td class="paramname"><em>input2</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
           <td class="paramname"><em>output</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml">CLArithmeticDivisionKernel</a>. </p>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">input1</td><td>First tensor input info. Data types supported: F16/F32. </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">input2</td><td>Second tensor input info. Data types supported: Same as <code>input1</code>. </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Output tensor info. Data types supported: Same as <code>input1</code>.</td></tr>
   </table>
   </dd>
 </dl>
 <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>

 <p class="definition">Definition at line <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml#l00127">127</a> of file <a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml">CLArithmeticDivisionKernel.cpp</a>.</p>

 <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00193">ARM_COMPUTE_RETURN_ON_ERROR</a>, and <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable&lt; T &gt;::clone()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_c_l_arithmetic_division_8cpp_source.xhtml#l00051">CLArithmeticDivision::validate()</a>.</p>
 <div class="fragment"><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;{</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(input1, input2, output));</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_and_configure_window(input1-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), input2-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), output-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get()).first);</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00193">Error.h:193</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div>
 <div class="ttc" id="classarm__compute_1_1misc_1_1_i_cloneable_xhtml_a4d10e5012a872e7f78f2b539b673049d"><div class="ttname"><a href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">arm_compute::misc::ICloneable::clone</a></div><div class="ttdeci">virtual std::unique_ptr&lt; T &gt; clone() const =0</div><div class="ttdoc">Provide a clone of the current object of class T. </div></div>
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 <hr/>The documentation for this class was generated from the following files:<ul>
 <li>arm_compute/core/CL/kernels/<a class="el" href="_c_l_arithmetic_division_kernel_8h_source.xhtml">CLArithmeticDivisionKernel.h</a></li>
 <li>src/core/CL/kernels/<a class="el" href="_c_l_arithmetic_division_kernel_8cpp_source.xhtml">CLArithmeticDivisionKernel.cpp</a></li>
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