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<title>Compute Library: NEDepthwiseConvolutionLayer3x3Kernel Class Reference</title>
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<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="#pub-static-methods">Static Public Member Functions</a> </div>
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<div class="title">NEDepthwiseConvolutionLayer3x3Kernel Class Reference</div> </div>
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<p>Interface for the kernel to run a 3x3 depthwise convolution on a tensor.
<a href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.h</a>&gt;</code></p>
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Collaboration diagram for NEDepthwiseConvolutionLayer3x3Kernel:</div>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:ab5656bb5b6334bdbe6e606c715872828"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a> () const override</td></tr>
<tr class="memdesc:ab5656bb5b6334bdbe6e606c715872828"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of the kernel. <a href="#ab5656bb5b6334bdbe6e606c715872828">More...</a><br /></td></tr>
<tr class="separator:ab5656bb5b6334bdbe6e606c715872828"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abf0a671d5f84d64b22c1baacbc30d42c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#abf0a671d5f84d64b22c1baacbc30d42c">NEDepthwiseConvolutionLayer3x3Kernel</a> ()</td></tr>
<tr class="memdesc:abf0a671d5f84d64b22c1baacbc30d42c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor. <a href="#abf0a671d5f84d64b22c1baacbc30d42c">More...</a><br /></td></tr>
<tr class="separator:abf0a671d5f84d64b22c1baacbc30d42c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a427868ca0b38566e7bcb81c04dcdb49e"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a427868ca0b38566e7bcb81c04dcdb49e">NEDepthwiseConvolutionLayer3x3Kernel</a> (const <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a427868ca0b38566e7bcb81c04dcdb49e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a427868ca0b38566e7bcb81c04dcdb49e">More...</a><br /></td></tr>
<tr class="separator:a427868ca0b38566e7bcb81c04dcdb49e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4f080336e12b8a0a378f008780eeff5a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4f080336e12b8a0a378f008780eeff5a">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a4f080336e12b8a0a378f008780eeff5a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a4f080336e12b8a0a378f008780eeff5a">More...</a><br /></td></tr>
<tr class="separator:a4f080336e12b8a0a378f008780eeff5a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad76312bbaf6cab74e63c8de4f5ced05d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ad76312bbaf6cab74e63c8de4f5ced05d">NEDepthwiseConvolutionLayer3x3Kernel</a> (<a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:ad76312bbaf6cab74e63c8de4f5ced05d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default Move Constructor. <a href="#ad76312bbaf6cab74e63c8de4f5ced05d">More...</a><br /></td></tr>
<tr class="separator:ad76312bbaf6cab74e63c8de4f5ced05d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa33f475c59df8d7ea699d6031553d232"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#aa33f475c59df8d7ea699d6031553d232">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:aa33f475c59df8d7ea699d6031553d232"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default move assignment operator. <a href="#aa33f475c59df8d7ea699d6031553d232">More...</a><br /></td></tr>
<tr class="separator:aa33f475c59df8d7ea699d6031553d232"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acde71902e936057ec4c81226dffdbe8d"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#acde71902e936057ec4c81226dffdbe8d">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info, unsigned int depth_multiplier=1, const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;dilation=<a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U, 1U))</td></tr>
<tr class="memdesc:acde71902e936057ec4c81226dffdbe8d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the function's source, destination, conv and border_size. <a href="#acde71902e936057ec4c81226dffdbe8d">More...</a><br /></td></tr>
<tr class="separator:acde71902e936057ec4c81226dffdbe8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a112b35dd205c62ea6ed1447ef226da82"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">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>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;info) override</td></tr>
<tr class="memdesc:a112b35dd205c62ea6ed1447ef226da82"><td class="mdescLeft">&#160;</td><td class="mdescRight">Execute the kernel on the passed window. <a href="#a112b35dd205c62ea6ed1447ef226da82">More...</a><br /></td></tr>
<tr class="separator:a112b35dd205c62ea6ed1447ef226da82"><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_n_e_depthwise_convolution_layer3x3_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_p_p_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a></td></tr>
<tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_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_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr>
<tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr>
<tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_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>
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<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:aa87181410f1fbfc155e750fdf26ae43f"><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_n_e_depthwise_convolution_layer3x3_kernel.xhtml#aa87181410f1fbfc155e750fdf26ae43f">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *weights, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info, unsigned int depth_multiplier=1, const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;dilation=<a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U, 1U))</td></tr>
<tr class="memdesc:aa87181410f1fbfc155e750fdf26ae43f"><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_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a>. <a href="#aa87181410f1fbfc155e750fdf26ae43f">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 kernel to run a 3x3 depthwise convolution on a tensor. </p>
<p class="definition">Definition at line <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00035">35</a> of file <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a id="abf0a671d5f84d64b22c1baacbc30d42c"></a>
<h2 class="memtitle"><span class="permalink"><a href="#abf0a671d5f84d64b22c1baacbc30d42c">&#9670;&nbsp;</a></span>NEDepthwiseConvolutionLayer3x3Kernel() <span class="overload">[1/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> </td>
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<td class="paramname"></td><td>)</td>
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<p>Default constructor. </p>
<p class="definition">Definition at line <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml#l00243">243</a> of file <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; : _border_size(0), _input(), _output(), _weights(), _conv_info(), _num_elems_written_per_iteration(0), _depth_multiplier(1), _dilation()</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;{</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a427868ca0b38566e7bcb81c04dcdb49e">&#9670;&nbsp;</a></span>NEDepthwiseConvolutionLayer3x3Kernel() <span class="overload">[2/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</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="#ad76312bbaf6cab74e63c8de4f5ced05d">&#9670;&nbsp;</a></span>NEDepthwiseConvolutionLayer3x3Kernel() <span class="overload">[3/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&amp;&#160;</td>
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<p>Default Move Constructor. </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="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml#l00248">248</a> of file <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;{</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="keywordflow">return</span> _border_size;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#acde71902e936057ec4c81226dffdbe8d">&#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_tensor.xhtml">ITensor</a> *&#160;</td>
<td class="paramname"><em>input</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
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<td class="paramname"><em>dilation</em> = <code><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U,&#160;1U)</code>&#160;</td>
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<p>Initialize the function's source, destination, conv and border_size. </p>
<dl class="section note"><dt>Note</dt><dd>Supported data layouts: NCHW and NHWC</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. This is a 3D tensor with dimensions [3, 3, IFM] for NCHW or [IFM, 3, 3] if NHWC data layout. Data type supported: Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Padding and stride information to use for the convolution. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>(Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dilation</td><td>(Optional) Dilation, in elements, across x and y. Defaults to (1, 1). </td></tr>
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<p class="definition">Definition at line <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml#l00253">253</a> of file <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;{</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, output);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-&gt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>(), output-&gt;info(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>));</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; _input = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; _output = output;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; _weights = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; _conv_info = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; _depth_multiplier = depth_multiplier;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keywordflow">switch</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;data_type())</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9">DataType::QASYMM8_SIGNED</a>:</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; _num_elems_written_per_iteration = 16 &gt;&gt; _conv_info.<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a6e324c1bd1111876469ea247da156147">stride</a>().first;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; _num_elems_written_per_iteration = 32 &gt;&gt; _conv_info.<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a6e324c1bd1111876469ea247da156147">stride</a>().first;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Data type not supported.&quot;</span>);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; }</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; _border_size = BorderSize(_conv_info.<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a3fea0ce4e6eeee7bf3a511c31b51d44f">pad_top</a>(), _conv_info.<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a3860caeeaa259d59ccf69c3aea23f549">pad_right</a>(), _conv_info.<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ac49df0924d183da42cffc04cf9aba1f8">pad_bottom</a>(), _conv_info.<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a7144874ab401f5c4e249a1115dfb5166">pad_left</a>());</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; _dilation = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keyword">auto</span> win_config = validate_and_configure_window(_input-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), _weights-&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>(), _conv_info, _depth_multiplier, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</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="l00281"></a><span class="lineno"> 281</span>&#160; INEKernel::configure(win_config.second);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor.cpp:41</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad3fd4136244e42ad89b01c02b904336d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">arm_compute::test::validation::dilation</a></div><div class="ttdeci">dilation</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a7cf8d8b669b8f7b05680230be30d60f4"><div class="ttname"><a href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(msg)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00352">Error.h:352</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00597">Winograd.cpp:597</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</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#l00455">Error.h:455</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a3fea0ce4e6eeee7bf3a511c31b51d44f"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a3fea0ce4e6eeee7bf3a511c31b51d44f">arm_compute::PadStrideInfo::pad_top</a></div><div class="ttdeci">unsigned int pad_top() const</div><div class="ttdoc">Get the top padding.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00770">Types.h:770</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div>
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<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number unsigned</div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a6e324c1bd1111876469ea247da156147"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a6e324c1bd1111876469ea247da156147">arm_compute::PadStrideInfo::stride</a></div><div class="ttdeci">std::pair&lt; unsigned int, unsigned int &gt; stride() const</div><div class="ttdoc">Get the stride.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00734">Types.h:734</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's metadata.</div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a3860caeeaa259d59ccf69c3aea23f549"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a3860caeeaa259d59ccf69c3aea23f549">arm_compute::PadStrideInfo::pad_right</a></div><div class="ttdeci">unsigned int pad_right() const</div><div class="ttdoc">Get the right padding.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00765">Types.h:765</a></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="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">ConvolutionLayer.cpp:188</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9">arm_compute::DataType::QASYMM8_SIGNED</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number signed</div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_ac49df0924d183da42cffc04cf9aba1f8"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#ac49df0924d183da42cffc04cf9aba1f8">arm_compute::PadStrideInfo::pad_bottom</a></div><div class="ttdeci">unsigned int pad_bottom() const</div><div class="ttdoc">Get the bottom padding.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00775">Types.h:775</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a7144874ab401f5c4e249a1115dfb5166"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a7144874ab401f5c4e249a1115dfb5166">arm_compute::PadStrideInfo::pad_left</a></div><div class="ttdeci">unsigned int pad_left() const</div><div class="ttdoc">Get the left padding.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00760">Types.h:760</a></div></div>
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<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00352">ARM_COMPUTE_ERROR</a>, <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00455">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00597">arm_compute::test::validation::conv_info</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">arm_compute::test::validation::dilation</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor::info()</a>, <a class="el" href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">arm_compute::test::validation::input</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00775">PadStrideInfo::pad_bottom()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00760">PadStrideInfo::pad_left()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00765">PadStrideInfo::pad_right()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00770">PadStrideInfo::pad_top()</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::QASYMM8</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9">arm_compute::QASYMM8_SIGNED</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00734">PadStrideInfo::stride()</a>, and <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">arm_compute::test::validation::weights</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#ab5656bb5b6334bdbe6e606c715872828">&#9670;&nbsp;</a></span>name()</h2>
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<td class="memname">const char* name </td>
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<p>Name of the kernel. </p>
<dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class.">Kernel</a> name </dd></dl>
<p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>.</p>
<p class="definition">Definition at line <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00038">38</a> of file <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.h</a>.</p>
<div class="fragment"><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keywordflow">return</span> <span class="stringliteral">&quot;NEDepthwiseConvolutionLayer3x3Kernel&quot;</span>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a4f080336e12b8a0a378f008780eeff5a">&#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_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a>&amp; operator= </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</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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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a>&amp; operator= </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&amp;&#160;</td>
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<p>Default move assignment operator. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a112b35dd205c62ea6ed1447ef226da82">&#9670;&nbsp;</a></span>run()</h2>
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<td class="memname">void run </td>
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<p>Execute the kernel on the passed window. </p>
<dl class="section warning"><dt>Warning</dt><dd>If <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b" title="Indicates whether or not the kernel is parallelisable.">is_parallelisable()</a> returns false then the passed window must be equal to <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a></dd></dl>
<dl class="section note"><dt>Note</dt><dd>The window has to be a region within the window returned by the <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a> method</dd>
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The width of the window has to be a multiple of <a class="el" href="_c_l_im2_col_kernel_8cpp.xhtml#a4e45c1f5e4280813a78a77dda71d8799">num_elems_processed_per_iteration()</a>.</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 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]</td><td class="paramname">info</td><td>Info about executing thread and CPU. </td></tr>
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<p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">ICPPKernel</a>.</p>
<p class="definition">Definition at line <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml#l00292">292</a> of file <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;{</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</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="l00295"></a><span class="lineno"> 295</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keywordflow">switch</span>(_input-&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="l00300"></a><span class="lineno"> 300</span>&#160; {</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160;<span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; convolve_3x3&lt;float16_t, float16_t&gt;(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, _num_elems_written_per_iteration, _input, _weights, _output, _conv_info, _depth_multiplier, _dilation);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;<span class="preprocessor">#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; convolve_3x3&lt;float, float&gt;(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, _num_elems_written_per_iteration, _input, _weights, _output, _conv_info, _depth_multiplier, _dilation);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; convolve_3x3&lt;uint8_t, int32_t&gt;(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, _num_elems_written_per_iteration, _input, _weights, _output, _conv_info, _depth_multiplier, _dilation);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9">DataType::QASYMM8_SIGNED</a>:</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; convolve_3x3&lt;int8_t, int32_t&gt;(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, _num_elems_written_per_iteration, _input, _weights, _output, _conv_info, _depth_multiplier, _dilation);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Not implemented&quot;</span>);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; }</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</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="_error_8h_xhtml_a7cf8d8b669b8f7b05680230be30d60f4"><div class="ttname"><a href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(msg)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00352">Error.h:352</a></div></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="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div>
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<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number unsigned</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's metadata.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9">arm_compute::DataType::QASYMM8_SIGNED</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number signed</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</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#l00941">Validate.h:941</a></div></div>
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<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00352">ARM_COMPUTE_ERROR</a>, <a class="el" href="_validate_8h_source.xhtml#l00941">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">arm_compute::test::validation::info</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::QASYMM8</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9">arm_compute::QASYMM8_SIGNED</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#aa87181410f1fbfc155e750fdf26ae43f">&#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>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
<td class="paramname"><em>input</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
<td class="paramname"><em>weights</em>, </td>
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<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>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
<td class="paramname"><em>conv_info</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;&#160;</td>
<td class="paramname"><em>dilation</em> = <code><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U,&#160;1U)</code>&#160;</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_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a>. </p>
<dl class="section note"><dt>Note</dt><dd>Supported data layouts: NCHW and NHWC</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor info. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor info. This is a 3D tensor with dimensions [3, 3, IFM] for NCHW or [IFM, 3, 3] if NHWC data layout. Data type supported: Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor info. Data type supported: Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Padding and stride information to use for the convolution. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>(Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dilation</td><td>(Optional) Dilation, in elements, across x and y. Defaults to (1, 1).</td></tr>
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<dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
<p class="definition">Definition at line <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml#l00284">284</a> of file <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160;{</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>));</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_and_configure_window(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;clone().get(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-&gt;clone().get(), output-&gt;clone().get(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>).first);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad3fd4136244e42ad89b01c02b904336d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">arm_compute::test::validation::dilation</a></div><div class="ttdeci">dilation</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00597">Winograd.cpp:597</a></div></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#l00204">Error.h:204</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">ConvolutionLayer.cpp:188</a></div></div>
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<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00204">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable&lt; T &gt;::clone()</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00597">arm_compute::test::validation::conv_info</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">arm_compute::test::validation::dilation</a>, <a class="el" href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">arm_compute::test::validation::input</a>, and <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">arm_compute::test::validation::weights</a>.</p>
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<hr/>The documentation for this class was generated from the following files:<ul>
<li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.h</a></li>
<li>src/core/NEON/kernels/<a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.cpp</a></li>
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