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<title>Compute Library: CLDepthwiseIm2ColKernel 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">CLDepthwiseIm2ColKernel Class Reference</div> </div>
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<p>Interface for the depthwise im2col reshape kernel.
<a href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="_c_l_depthwise_im2_col_kernel_8h_source.xhtml">CLDepthwiseIm2ColKernel.h</a>&gt;</code></p>
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Collaboration diagram for CLDepthwiseIm2ColKernel:</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:a8c127dc1b50728c479d63a7347926920"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a8c127dc1b50728c479d63a7347926920">CLDepthwiseIm2ColKernel</a> ()</td></tr>
<tr class="memdesc:a8c127dc1b50728c479d63a7347926920"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor. <a href="#a8c127dc1b50728c479d63a7347926920">More...</a><br /></td></tr>
<tr class="separator:a8c127dc1b50728c479d63a7347926920"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5b6cbd351d95ec688c6771fafed56e6f"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a5b6cbd351d95ec688c6771fafed56e6f">CLDepthwiseIm2ColKernel</a> (const <a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a5b6cbd351d95ec688c6771fafed56e6f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a5b6cbd351d95ec688c6771fafed56e6f">More...</a><br /></td></tr>
<tr class="separator:a5b6cbd351d95ec688c6771fafed56e6f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0a10e55699b26afdf2fbf336dc9cad09"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a0a10e55699b26afdf2fbf336dc9cad09">operator=</a> (const <a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a0a10e55699b26afdf2fbf336dc9cad09"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a0a10e55699b26afdf2fbf336dc9cad09">More...</a><br /></td></tr>
<tr class="separator:a0a10e55699b26afdf2fbf336dc9cad09"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abc62f33ff91e3178810bda77da7e0a57"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#abc62f33ff91e3178810bda77da7e0a57">CLDepthwiseIm2ColKernel</a> (<a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:abc62f33ff91e3178810bda77da7e0a57"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="#abc62f33ff91e3178810bda77da7e0a57">More...</a><br /></td></tr>
<tr class="separator:abc62f33ff91e3178810bda77da7e0a57"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa0b00eedd537493835dab315bd459441"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#aa0b00eedd537493835dab315bd459441">operator=</a> (<a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:aa0b00eedd537493835dab315bd459441"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="#aa0b00eedd537493835dab315bd459441">More...</a><br /></td></tr>
<tr class="separator:aa0b00eedd537493835dab315bd459441"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9adc3501bcac4503b2432b77c8564e6b"><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_depthwise_im2_col_kernel.xhtml#a9adc3501bcac4503b2432b77c8564e6b">configure</a> (const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;kernel_dims, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info, bool has_bias=false, 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:a9adc3501bcac4503b2432b77c8564e6b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input and output of the kernel. <a href="#a9adc3501bcac4503b2432b77c8564e6b">More...</a><br /></td></tr>
<tr class="separator:a9adc3501bcac4503b2432b77c8564e6b"><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_depthwise_im2_col_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="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:a25965a58d98e44856da286925792a2f7 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#a25965a58d98e44856da286925792a2f7">add_1D_tensor_argument_if</a> (bool cond, 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:a25965a58d98e44856da286925792a2f7 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 if the condition is true. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a25965a58d98e44856da286925792a2f7">More...</a><br /></td></tr>
<tr class="separator:a25965a58d98e44856da286925792a2f7 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:a2ada6044648832c64532588f75303b44 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#a2ada6044648832c64532588f75303b44">add_2D_tensor_argument_if</a> (bool cond, 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:a2ada6044648832c64532588f75303b44 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 if the condition is true. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2ada6044648832c64532588f75303b44">More...</a><br /></td></tr>
<tr class="separator:a2ada6044648832c64532588f75303b44 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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <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_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">border_size</a> () const</td></tr>
<tr class="memdesc:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel. <a href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">More...</a><br /></td></tr>
<tr class="separator:a4b3a97ba5dded504a2f2261c078493dd 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:aac7d3de10148bd078fa2547e91333ae6"><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_depthwise_im2_col_kernel.xhtml#aac7d3de10148bd078fa2547e91333ae6">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> *output, const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;kernel_dims, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info, bool has_bias, unsigned int depth_multiplier, 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:aac7d3de10148bd078fa2547e91333ae6"><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_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a>. <a href="#aac7d3de10148bd078fa2547e91333ae6">More...</a><br /></td></tr>
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<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>
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<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 depthwise im2col reshape kernel. </p>
<p>This kernel reshape the input low 3 dimensions to a new 3D shape where the output's first dimension is the linear patch size (FILTER_WIDTH * FILTER_HEIGHT) and second dimension is number of patches per image and third dimension unchanged . </p>
<p class="definition">Definition at line <a class="el" href="_c_l_depthwise_im2_col_kernel_8h_source.xhtml#l00038">38</a> of file <a class="el" href="_c_l_depthwise_im2_col_kernel_8h_source.xhtml">CLDepthwiseIm2ColKernel.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a8c127dc1b50728c479d63a7347926920">&#9670;&nbsp;</a></span>CLDepthwiseIm2ColKernel() <span class="overload">[1/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> </td>
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<p>Default constructor. </p>
<p class="definition">Definition at line <a class="el" href="_c_l_depthwise_im2_col_kernel_8cpp_source.xhtml#l00040">40</a> of file <a class="el" href="_c_l_depthwise_im2_col_kernel_8cpp_source.xhtml">CLDepthwiseIm2ColKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; : _input(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a5b6cbd351d95ec688c6771fafed56e6f">&#9670;&nbsp;</a></span>CLDepthwiseIm2ColKernel() <span class="overload">[2/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</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="#abc62f33ff91e3178810bda77da7e0a57">&#9670;&nbsp;</a></span>CLDepthwiseIm2ColKernel() <span class="overload">[3/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> &amp;&amp;&#160;</td>
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<p>Allow instances of this class to be moved. </p>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a9adc3501bcac4503b2432b77c8564e6b">&#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>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</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>kernel_dims</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">unsigned int&#160;</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>Set the input and output of the kernel. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32 </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>The output tensor. First 3 lower dimensions represent a transform of each 3D input, while every dimension above 3 represents a batch. Data types supported: Same as <code>input</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">kernel_dims</td><td>The kernel dimensions (width and height). </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Contains padding and stride information described in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">has_bias</td><td>Boolean that specifies if the depthwise convolution has bias. </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="_c_l_depthwise_im2_col_kernel_8cpp_source.xhtml#l00066">66</a> of file <a class="el" href="_c_l_depthwise_im2_col_kernel_8cpp_source.xhtml">CLDepthwiseIm2ColKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;{</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input, output);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(input-&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>(), kernel_dims, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>, depth_multiplier, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>));</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; _input = input;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; _output = output;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a> = 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#a367b5090ab432bc7de2c32369e087ab1">data_layout</a>();</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx_w = <a class="code" href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">get_data_layout_dimension_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx_h = <a class="code" href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">get_data_layout_dimension_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a> = 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#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="comment">// Create kernel</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml">CLBuildOptions</a> build_opts;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DDATA_TYPE=&quot;</span> + <a class="code" href="namespacearm__compute.xhtml#a545eeda2eaa3f5a54345ce8169e21184">get_cl_type_from_data_type</a>(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="l00084"></a><span class="lineno"> 84</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DSTRIDE_X=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>.stride().first));</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DSTRIDE_Y=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>.stride().second));</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DPAD_LEFT=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>.pad_left()));</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DPAD_TOP=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>.pad_top()));</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DPAD_RIGHT=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>.pad_right()));</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DPAD_BOTTOM=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>.pad_bottom()));</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DSRC_WIDTH=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(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#a178f0d3d87f959e00a743328d95359d2">dimension</a>(idx_w)));</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DSRC_HEIGHT=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(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#a178f0d3d87f959e00a743328d95359d2">dimension</a>(idx_h)));</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DKERNEL_WIDTH=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(kernel_dims.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>));</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DKERNEL_HEIGHT=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(kernel_dims.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>));</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DDEPTH_MULTIPLIER=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(depth_multiplier));</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DDILATION_X=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>.x()));</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DDILATION_Y=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>.y()));</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-D&quot;</span> + <a class="code" href="namespacearm__compute.xhtml#a56b9e25c2e8731ca5488e7b3ccd66f58">string_from_data_layout</a>(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#a367b5090ab432bc7de2c32369e087ab1">data_layout</a>()));</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">add_option_if</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>, <span class="stringliteral">&quot;-DHAS_BIAS&quot;</span>);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a9b58a8c8bf638904a0b5f62b2bfcf96a">add_option_if_else</a>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(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="l00100"></a><span class="lineno"> 100</span>&#160; <span class="stringliteral">&quot;-DPAD_VALUE=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a>.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a08ffa53eaabde3e18b003f8182ac09bf">offset</a>),</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="stringliteral">&quot;-DPAD_VALUE=0&quot;</span>);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; _kernel = static_cast&lt;cl::Kernel&gt;(<a class="code" href="classarm__compute_1_1_c_l_kernel_library.xhtml#acba005f5ce2c62cbf3f94d074d9007aa">CLKernelLibrary::get</a>().<a class="code" href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">create_kernel</a>(<span class="stringliteral">&quot;depthwise_im2col&quot;</span>, build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#ae3b08139a1e57323c5d7dd93f30496c8">options</a>()));</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win = <a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(*output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>());</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="comment">// CLDepthwiseIm2ColKernel doesn&#39;t need padding so update_window_and_padding() can be skipped</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; 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#a9586081a29fceb532ab270bd843abee6">set_valid_region</a>(<a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a>(<a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</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#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()));</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; ICLKernel::configure_internal(win);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml_a08ffa53eaabde3e18b003f8182ac09bf"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml#a08ffa53eaabde3e18b003f8182ac09bf">arm_compute::QuantizationInfo::offset</a></div><div class="ttdeci">const std::vector&lt; int32_t &gt; &amp; offset() const</div><div class="ttdoc">Offset vector accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00118">QuantizationInfo.h:118</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acf5f12bbab64dd614bd8220c97fe484f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">arm_compute::test::validation::data_layout</a></div><div class="ttdeci">const DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">Im2Col.cpp:146</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="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></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="classarm__compute_1_1_c_l_build_options_xhtml_ae3b08139a1e57323c5d7dd93f30496c8"><div class="ttname"><a href="classarm__compute_1_1_c_l_build_options.xhtml#ae3b08139a1e57323c5d7dd93f30496c8">arm_compute::CLBuildOptions::options</a></div><div class="ttdeci">const StringSet &amp; options() const</div><div class="ttdoc">Gets the current options list set.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l00074">CLKernelLibrary.cpp:74</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#l00599">Winograd.cpp:599</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_acc5dddee1cbe93a4eaf0a9f74ee96bb7"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">arm_compute::support::cpp11::to_string</a></div><div class="ttdeci">std::string to_string(T &amp;&amp;value)</div><div class="ttdoc">Convert integer and float values to string.</div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00242">ToolchainSupport.h:242</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_a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">arm_compute::DataLayoutDimension::HEIGHT</a></div><div class="ttdoc">height</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#l01037">CLKernelLibrary.cpp:1037</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="structarm__compute_1_1_uniform_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_uniform_quantization_info.xhtml">arm_compute::UniformQuantizationInfo</a></div><div class="ttdoc">Quantization info when assuming per layer quantization.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00039">QuantizationInfo.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab7980fa5ee693e3282a76da047a1c3b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_helpers_8cpp_source.xhtml#l00028">Helpers.cpp:28</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a9586081a29fceb532ab270bd843abee6"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">arm_compute::ITensorInfo::set_valid_region</a></div><div class="ttdeci">virtual void set_valid_region(const ValidRegion &amp;valid_region)=0</div><div class="ttdoc">Set the valid region of the tensor.</div></div>
<div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02afeaaf8574e7a78d6b466ff2695052"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">arm_compute::Size2D::height</a></div><div class="ttdeci">size_t height</div><div class="ttdoc">Height of the image region or rectangle.</div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00093">Size2D.h:93</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_build_options_xhtml_a3e2b80ff5463b7d2017de847f5c32a30"><div class="ttname"><a href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">arm_compute::CLBuildOptions::add_option</a></div><div class="ttdeci">void add_option(std::string option)</div><div class="ttdoc">Adds option to the existing build option list.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l00043">CLKernelLibrary.cpp:43</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_steps_xhtml"><div class="ttname"><a href="classarm__compute_1_1_steps.xhtml">arm_compute::Steps</a></div><div class="ttdoc">Class to describe a number of elements in each dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_steps_8h_source.xhtml#l00040">Steps.h:40</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item.</div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml_a706fc156bcd4c45441bcaad05884b57d"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">arm_compute::QuantizationInfo::uniform</a></div><div class="ttdeci">UniformQuantizationInfo uniform() const</div><div class="ttdoc">Return per layer quantization info.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00134">QuantizationInfo.h:134</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="core_2_c_l_2_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's metadata.</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_build_options_xhtml_a95b46e69297fad10b27a1baa000f92cc"><div class="ttname"><a href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">arm_compute::CLBuildOptions::add_option_if</a></div><div class="ttdeci">void add_option_if(bool cond, std::string option)</div><div class="ttdoc">Adds option if a given condition is true;.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l00048">CLKernelLibrary.cpp:48</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a9aeced5a5128f60a31ea3e327a45ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">arm_compute::test::validation::has_bias</a></div><div class="ttdeci">const bool has_bias</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00147">Im2Col.cpp:147</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_build_options_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_build_options.xhtml">arm_compute::CLBuildOptions</a></div><div class="ttdoc">Build options.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8h_source.xhtml#l00037">CLKernelLibrary.h:37</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_abc72c95941485d8a068fa38372308574"><div class="ttname"><a href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">arm_compute::create_kernel</a></div><div class="ttdeci">std::unique_ptr&lt; Kernel &gt; create_kernel()</div><div class="ttdoc">Helper function to create and return a unique_ptr pointed to a CL/GLES kernel object.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00086">Helpers.h:86</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a3f3e1a3200223e6a304a533b1016e749"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">arm_compute::ITensorInfo::quantization_info</a></div><div class="ttdeci">virtual QuantizationInfo quantization_info() const =0</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</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_xhtml_a56b9e25c2e8731ca5488e7b3ccd66f58"><div class="ttname"><a href="namespacearm__compute.xhtml#a56b9e25c2e8731ca5488e7b3ccd66f58">arm_compute::string_from_data_layout</a></div><div class="ttdeci">const std::string &amp; string_from_data_layout(DataLayout dl)</div><div class="ttdoc">Convert a data layout identity into a string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00132">Utils.cpp:132</a></div></div>
<div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02bed8590a9ddf520e58a060059518ec"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">arm_compute::Size2D::width</a></div><div class="ttdeci">size_t width</div><div class="ttdoc">Width of the image region or rectangle.</div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00092">Size2D.h:92</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad85d7becf0c6e3cffbc255489808e219"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">arm_compute::test::validation::qinfo</a></div><div class="ttdeci">const QuantizationInfo qinfo</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00150">Im2Col.cpp:150</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">arm_compute::DataLayoutDimension::WIDTH</a></div><div class="ttdoc">width</div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdoc">Container for valid region of a window.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00174">Types.h:174</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a46e938020a3ac8c926d0590b7fe957db"><div class="ttname"><a href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">arm_compute::get_data_layout_dimension_index</a></div><div class="ttdeci">size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get the index of the given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00326">Helpers.inl:326</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00114">Types.h:114</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="classarm__compute_1_1_i_tensor_info_xhtml_a367b5090ab432bc7de2c32369e087ab1"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">arm_compute::ITensorInfo::data_layout</a></div><div class="ttdeci">virtual DataLayout data_layout() const =0</div><div class="ttdoc">Get the data layout of the tensor.</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_build_options_xhtml_a9b58a8c8bf638904a0b5f62b2bfcf96a"><div class="ttname"><a href="classarm__compute_1_1_c_l_build_options.xhtml#a9b58a8c8bf638904a0b5f62b2bfcf96a">arm_compute::CLBuildOptions::add_option_if_else</a></div><div class="ttdeci">void add_option_if_else(bool cond, std::string option_true, std::string option_false)</div><div class="ttdoc">Adds first option if condition is true else the second one.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l00056">CLKernelLibrary.cpp:56</a></div></div>
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<p class="reference">References <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l00043">CLBuildOptions::add_option()</a>, <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l00048">CLBuildOptions::add_option_if()</a>, <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l00056">CLBuildOptions::add_option_if_else()</a>, <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="src_2core_2_helpers_8cpp_source.xhtml#l00028">arm_compute::calculate_max_window()</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml#l00086">arm_compute::create_kernel()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">arm_compute::test::validation::data_layout</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">ITensorInfo::data_layout()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::dilation</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l01037">CLKernelLibrary::get()</a>, <a class="el" href="core_2_c_l_2_c_l_helpers_8cpp_source.xhtml#l00035">arm_compute::get_cl_type_from_data_type()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00326">arm_compute::get_data_layout_dimension_index()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00147">arm_compute::test::validation::has_bias</a>, <a class="el" href="_size2_d_8h_source.xhtml#l00093">Size2D::height</a>, <a class="el" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">arm_compute::HEIGHT</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">arm_compute::is_data_type_quantized_asymmetric()</a>, <a class="el" href="_quantization_info_8h_source.xhtml#l00118">QuantizationInfo::offset()</a>, <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l00074">CLBuildOptions::options()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00150">arm_compute::test::validation::qinfo</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">ITensorInfo::quantization_info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">ITensorInfo::set_valid_region()</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00132">arm_compute::string_from_data_layout()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="_toolchain_support_8h_source.xhtml#l00242">arm_compute::support::cpp11::to_string()</a>, <a class="el" href="_quantization_info_8h_source.xhtml#l00134">QuantizationInfo::uniform()</a>, <a class="el" href="_size2_d_8h_source.xhtml#l00092">Size2D::width</a>, and <a class="el" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">arm_compute::WIDTH</a>.</p>
<p class="reference">Referenced by <a class="el" href="_c_l_depthwise_convolution_layer_8cpp_source.xhtml#l00256">CLDepthwiseConvolutionLayer::configure()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a0a10e55699b26afdf2fbf336dc9cad09">&#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_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a>&amp; operator= </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</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="#aa0b00eedd537493835dab315bd459441">&#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_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a>&amp; operator= </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a> &amp;&amp;&#160;</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="#a493987e85723a8000eb26d1f00e2ad0e">&#9670;&nbsp;</a></span>run()</h2>
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<td class="memname">void run </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>
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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_depthwise_im2_col_kernel_8cpp_source.xhtml#l00121">121</a> of file <a class="el" href="_c_l_depthwise_im2_col_kernel_8cpp_source.xhtml">CLDepthwiseIm2ColKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;{</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <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="l00124"></a><span class="lineno"> 124</span>&#160; <a class="code" href="_validate_8h.xhtml#a57b20c050f8af67775d6da1b6febf038">ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">ICLKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</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> = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> slice_in = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><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; <span class="comment">// Setup slice</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, _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), _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)));</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>.set(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, _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>(1), 1));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>.set(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, _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>(2), 1));</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="comment">// Setup input slice</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="comment">// The first three dimensions of the input are increased by the inner loops</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; slice_in.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; slice_in.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; slice_in.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</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="keywordflow">do</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; {</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a>(idx, _input, slice_in);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a>(idx, _output, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a6e51ab3789678d3e0b0b72178dd6c4c6">enqueue</a>(queue, *<span class="keyword">this</span>, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>, <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">lws_hint</a>());</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; <span class="keywordflow">while</span>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>) &amp;&amp; <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(slice_in));</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</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_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="namespacearm__compute_xhtml_a6e51ab3789678d3e0b0b72178dd6c4c6"><div class="ttname"><a href="namespacearm__compute.xhtml#a6e51ab3789678d3e0b0b72178dd6c4c6">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(), bool use_dummy_work_items=false)</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_i_c_l_kernel_xhtml_ab9f813c25ed75ea7b7ac2fa3926a8f55"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">arm_compute::ICLKernel::lws_hint</a></div><div class="ttdeci">cl::NDRange lws_hint() const</div><div class="ttdoc">Return the Local-Workgroup-Size hint.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00247">ICLKernel.h:247</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a></div><div class="ttdoc">Describe one of the image's dimensions with a start, end and step.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00075">Window.h:75</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's parameters to the object's kernel's arguments starting from the index idx.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00158">ICLKernel.h:158</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</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="_validate_8h_xhtml_a57b20c050f8af67775d6da1b6febf038"><div class="ttname"><a href="_validate_8h.xhtml#a57b20c050f8af67775d6da1b6febf038">ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(f, w)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00183">Validate.h:183</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_acd3d2bba51cb84d34dd7656ad2375a6e"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">arm_compute::Window::set</a></div><div class="ttdeci">void set(size_t dimension, const Dimension &amp;dim)</div><div class="ttdoc">Set the values of a given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00048">Window.inl:48</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#l00319">Window.h:319</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</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_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#l00275">Window.h:275</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#l00038">SliceOperations.cpp:38</a></div></div>
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<p class="reference">References <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00158">ICLKernel::add_3D_tensor_argument()</a>, <a class="el" href="_validate_8h_source.xhtml#l00183">ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS</a>, <a class="el" href="_validate_8h_source.xhtml#l00940">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="_window_8h_source.xhtml#l00043">Window::DimX</a>, <a class="el" href="_window_8h_source.xhtml#l00045">Window::DimY</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#l00275">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="_i_c_l_kernel_8h_source.xhtml#l00247">ICLKernel::lws_hint()</a>, <a class="el" href="_window_8inl_source.xhtml#l00048">Window::set()</a>, <a class="el" href="_slice_operations_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::slice()</a>, <a class="el" href="_window_8h_source.xhtml#l00319">Window::slide_window_slice_3D()</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="#aac7d3de10148bd078fa2547e91333ae6">&#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>input</em>, </td>
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<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>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;&#160;</td>
<td class="paramname"><em>kernel_dims</em>, </td>
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<td class="paramkey"></td>
<td></td>
<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="paramkey"></td>
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<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>has_bias</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">unsigned int&#160;</td>
<td class="paramname"><em>depth_multiplier</em>, </td>
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<td class="paramkey"></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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<td>)</td>
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<span class="mlabels"><span class="mlabel">static</span></span> </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_depthwise_im2_col_kernel.xhtml">CLDepthwiseIm2ColKernel</a>. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>The input tensor info to convert. 3 lower dimensions represent a single input [width, height, IFM], while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>The output tensor info. First 3 lower dimensions represent a transform of each 3D input, while every dimension above 3 represents a batch. Data types supported: Same as <code>input</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">kernel_dims</td><td>The kernel dimensions (width and height). </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Contains padding and stride information described in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">has_bias</td><td>Boolean that specifies if the depthwise convolution has bias. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>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>
</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_depthwise_im2_col_kernel_8cpp_source.xhtml#l00113">113</a> of file <a class="el" href="_c_l_depthwise_im2_col_kernel_8cpp_source.xhtml">CLDepthwiseIm2ColKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;{</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(input, output, kernel_dims, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>, depth_multiplier, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>));</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</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="l00119"></a><span class="lineno"> 119</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="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</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#l00599">Winograd.cpp:599</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#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="namespacearm__compute_1_1test_1_1validation_xhtml_a9aeced5a5128f60a31ea3e327a45ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">arm_compute::test::validation::has_bias</a></div><div class="ttdeci">const bool has_bias</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00147">Im2Col.cpp:147</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00193">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::dilation</a>, and <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00147">arm_compute::test::validation::has_bias</a>.</p>
<p class="reference">Referenced by <a class="el" href="_c_l_depthwise_convolution_layer_8cpp_source.xhtml#l00380">CLDepthwiseConvolutionLayer::validate()</a>.</p>
</div>
</div>
<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_depthwise_im2_col_kernel_8h_source.xhtml">CLDepthwiseIm2ColKernel.h</a></li>
<li>src/core/CL/kernels/<a class="el" href="_c_l_depthwise_im2_col_kernel_8cpp_source.xhtml">CLDepthwiseIm2ColKernel.cpp</a></li>
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