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-<title>ARM Compute Library: CLIm2ColKernel Class Reference</title>
+<title>Compute Library: CLIm2ColKernel Class Reference</title>
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- <div id="projectname">ARM Compute Library
-  <span id="projectnumber">17.03.1</span>
+ <div id="projectname">Compute Library
+  <span id="projectnumber">18.05</span>
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<div class="title">CLIm2ColKernel Class Reference</div> </div>
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Collaboration diagram for CLIm2ColKernel:</div>
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<table class="memberdecls">
<tr class="memitem:ad4b22573444ce7770618109732fe89fa"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ad4b22573444ce7770618109732fe89fa">operator=</a> (<a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> &&)=default</td></tr>
<tr class="memdesc:ad4b22573444ce7770618109732fe89fa"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#ad4b22573444ce7770618109732fe89fa">More...</a><br /></td></tr>
<tr class="separator:ad4b22573444ce7770618109732fe89fa"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a56c409768c719db2ba63a6be733c42d7"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a56c409768c719db2ba63a6be733c42d7">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, std::pair< unsigned int, unsigned int > convolved_dims, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, bool has_bias)</td></tr>
-<tr class="memdesc:a56c409768c719db2ba63a6be733c42d7"><td class="mdescLeft"> </td><td class="mdescRight">Set the input and output of the kernel. <a href="#a56c409768c719db2ba63a6be733c42d7">More...</a><br /></td></tr>
-<tr class="separator:a56c409768c719db2ba63a6be733c42d7"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ad0cd0538c56396e94f2dba51444134af"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ad0cd0538c56396e94f2dba51444134af">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> &kernel_dims, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, bool has_bias, const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &dilation=<a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U, 1U))</td></tr>
+<tr class="memdesc:ad0cd0538c56396e94f2dba51444134af"><td class="mdescLeft"> </td><td class="mdescRight">Set the input and output of the kernel. <a href="#ad0cd0538c56396e94f2dba51444134af">More...</a><br /></td></tr>
+<tr class="separator:ad0cd0538c56396e94f2dba51444134af"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a493987e85723a8000eb26d1f00e2ad0e"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, cl::CommandQueue &queue) override</td></tr>
<tr class="memdesc:a493987e85723a8000eb26d1f00e2ad0e"><td class="mdescLeft"> </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"> </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 & </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"> </td><td class="mdescRight">Returns a reference to the OpenCL kernel of this object. <a href="#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"> </td></tr>
+<tr class="memitem:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template<typename T > </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 </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 &idx, const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>< T > *array, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &strides, unsigned int num_dimensions, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
+<tr class="memdesc:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </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="#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"> </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 </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 &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> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
<tr class="memdesc:a479e7043e65dc87de35d374e108510f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </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="#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"> </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 </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 &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> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
<tr class="memdesc:a28f5847162f352444c6ac1825d0e99c7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </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="#a28f5847162f352444c6ac1825d0e99c7">More...</a><br /></td></tr>
<tr class="separator:a28f5847162f352444c6ac1825d0e99c7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a770f45838881fc061294e56d64f34386 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a770f45838881fc061294e56d64f34386">num_arguments_per_1D_tensor</a> () const </td></tr>
-<tr class="memdesc:a770f45838881fc061294e56d64f34386 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of arguments enqueued per 1D tensor object. <a href="#a770f45838881fc061294e56d64f34386">More...</a><br /></td></tr>
-<tr class="separator:a770f45838881fc061294e56d64f34386 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:ac734502531e7f95e25b3bf688a304a59 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac734502531e7f95e25b3bf688a304a59">num_arguments_per_2D_tensor</a> () const </td></tr>
-<tr class="memdesc:ac734502531e7f95e25b3bf688a304a59 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of arguments enqueued per 2D tensor object. <a href="#ac734502531e7f95e25b3bf688a304a59">More...</a><br /></td></tr>
-<tr class="separator:ac734502531e7f95e25b3bf688a304a59 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a4feaae9c860cddfa843d37c953674a22 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4feaae9c860cddfa843d37c953674a22">num_arguments_per_3D_tensor</a> () const </td></tr>
-<tr class="memdesc:a4feaae9c860cddfa843d37c953674a22 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of arguments enqueued per 3D tensor object. <a href="#a4feaae9c860cddfa843d37c953674a22">More...</a><br /></td></tr>
-<tr class="separator:a4feaae9c860cddfa843d37c953674a22 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a33e09c946b338fbfc780a9d1c66e68ad inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void </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 &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> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
+<tr class="memdesc:a33e09c946b338fbfc780a9d1c66e68ad inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </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="#a33e09c946b338fbfc780a9d1c66e68ad">More...</a><br /></td></tr>
+<tr class="separator:a33e09c946b338fbfc780a9d1c66e68ad inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template<typename T > </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 </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 &idx, T value)</td></tr>
<tr class="memdesc:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Add the passed parameters to the object's kernel's arguments starting from the index idx. <a href="#a50f427a1d9419800972b9e03c4034311">More...</a><br /></td></tr>
<tr class="separator:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ad356b88c8f61267d593d9ed99835bde9 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void </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 &<a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a0737b867334392d5dc5c2e3291d67dbf">lws_hint</a>)</td></tr>
+<tr class="memdesc:ad356b88c8f61267d593d9ed99835bde9 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Set the Local-Workgroup-Size hint. <a href="#ad356b88c8f61267d593d9ed99835bde9">More...</a><br /></td></tr>
+<tr class="separator:ad356b88c8f61267d593d9ed99835bde9 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a0737b867334392d5dc5c2e3291d67dbf inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">cl::NDRange </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a0737b867334392d5dc5c2e3291d67dbf">lws_hint</a> () const </td></tr>
+<tr class="memdesc:a0737b867334392d5dc5c2e3291d67dbf inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Return the Local-Workgroup-Size hint. <a href="#a0737b867334392d5dc5c2e3291d67dbf">More...</a><br /></td></tr>
+<tr class="separator:a0737b867334392d5dc5c2e3291d67dbf inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a226d2e9e6d3c42d681666566fe950b2d inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">const std::string & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a226d2e9e6d3c42d681666566fe950b2d">config_id</a> () const </td></tr>
+<tr class="memdesc:a226d2e9e6d3c42d681666566fe950b2d inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Get the configuration ID. <a href="#a226d2e9e6d3c42d681666566fe950b2d">More...</a><br /></td></tr>
+<tr class="separator:a226d2e9e6d3c42d681666566fe950b2d inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void </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"> </td><td class="mdescRight">Set the targeted GPU architecture. <a href="#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"> </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 </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 &device)</td></tr>
+<tr class="memdesc:a57e5f498fcbfc25c28b8496dfa3fc33c inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Set the targeted GPU architecture according to the CL device. <a href="#a57e5f498fcbfc25c28b8496dfa3fc33c">More...</a><br /></td></tr>
+<tr class="separator:a57e5f498fcbfc25c28b8496dfa3fc33c inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a646cd535a16835b246c3367a63d96250 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> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">get_target</a> () const </td></tr>
+<tr class="memdesc:a646cd535a16835b246c3367a63d96250 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Get the targeted GPU architecture. <a href="#a646cd535a16835b246c3367a63d96250">More...</a><br /></td></tr>
+<tr class="separator:a646cd535a16835b246c3367a63d96250 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </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 </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"> </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="#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"> </td></tr>
+<tr class="memitem:a2d7c6b5f3332604ad6a637457f65c342 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template<typename T , unsigned int dimension_size> </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 </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 &idx, const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>< T > *array, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &strides, unsigned int num_dimensions, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
+<tr class="memdesc:a2d7c6b5f3332604ad6a637457f65c342 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Add the passed array's parameters to the object's kernel's arguments starting from the index idx. <a href="#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"> </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="-"/> 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"> </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"> </td><td class="mdescRight">Constructor. <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
<tr class="memitem:a3f5646133956f06348b310ccc3d36353 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> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a> () const </td></tr>
<tr class="memdesc:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="#a3f5646133956f06348b310ccc3d36353">More...</a><br /></td></tr>
<tr class="separator:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </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:a1ae4a74e7d78eb52428e179fed20de12"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1ae4a74e7d78eb52428e179fed20de12">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> &kernel_dims, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, bool has_bias, const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &dilation=<a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U, 1U))</td></tr>
+<tr class="memdesc:a1ae4a74e7d78eb52428e179fed20de12"><td class="mdescLeft"> </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_im2_col_kernel.xhtml">CLIm2ColKernel</a>. <a href="#a1ae4a74e7d78eb52428e179fed20de12">More...</a><br /></td></tr>
+<tr class="separator:a1ae4a74e7d78eb52428e179fed20de12"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="inherit_header pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarm__compute_1_1_i_c_l_kernel')"><img src="closed.png" alt="-"/> 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 </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"> </td><td class="mdescRight">Returns the number of arguments enqueued per 1D array object. <a href="#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"> </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 </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"> </td><td class="mdescRight">Returns the number of arguments enqueued per 1D tensor object. <a href="#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"> </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 </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"> </td><td class="mdescRight">Returns the number of arguments enqueued per 2D tensor object. <a href="#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"> </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 </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"> </td><td class="mdescRight">Returns the number of arguments enqueued per 3D tensor object. <a href="#a6c9c1e7a7d96743375ca40847f0f12e2">More...</a><br /></td></tr>
+<tr class="separator:a6c9c1e7a7d96743375ca40847f0f12e2 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a184fdf37587a9314cf12623accea6c73 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int </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"> </td><td class="mdescRight">Returns the number of arguments enqueued per 4D tensor object. <a href="#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"> </td></tr>
+<tr class="memitem:a4b4a20e518c04e657839280cd486a85d inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static cl::NDRange </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4b4a20e518c04e657839280cd486a85d">gws_from_window</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
+<tr class="memdesc:a4b4a20e518c04e657839280cd486a85d inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Get the global work size given an execution window. <a href="#a4b4a20e518c04e657839280cd486a85d">More...</a><br /></td></tr>
+<tr class="separator:a4b4a20e518c04e657839280cd486a85d inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Interface for the im2col reshape kernel. </p>
\[ \left( \begin{array}{cccc} a00 & a01 & a02 & a03 \\ a10 & a11 & a12 & a13 \\ a20 & a21 & a22 & a23 \\ a30 & a31 & a32 & a33 \\ \end{array} \right) = \left( \begin{array}{ccccccccc} a00 & a01 & a02 & a10 & a11 & a12 & a20 & a21 & a22 \\ a01 & a02 & a03 & a11 & a12 & a13 & a21 & a22 & a23 \\ a10 & a11 & a12 & a20 & a21 & a22 & a30 & a31 & a32 \\ a11 & a12 & a13 & a21 & a22 & a23 & a31 & a32 & a33 \\ \end{array} \right) \]
</p>
-<p>Definition at line <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00055">55</a> of file <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>.</p>
+<p>Definition at line <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00056">56</a> of file <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
<a class="anchor" id="a569025396fa4e2e7469b7ea6e2a0a81b"></a>
<div class="memitem">
</div>
</div>
<h2 class="groupheader">Member Function Documentation</h2>
-<a class="anchor" id="a56c409768c719db2ba63a6be733c42d7"></a>
+<a class="anchor" id="ad0cd0538c56396e94f2dba51444134af"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="paramkey"></td>
<td></td>
- <td class="paramtype">std::pair< unsigned int, unsigned int > </td>
- <td class="paramname"><em>convolved_dims</em>, </td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> & </td>
+ <td class="paramname"><em>kernel_dims</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool </td>
- <td class="paramname"><em>has_bias</em> </td>
+ <td class="paramname"><em>has_bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> & </td>
+ <td class="paramname"><em>dilation</em> = <code><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U, 1U)</code> </td>
</tr>
<tr>
<td></td>
<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: F16, F32 </td></tr>
+ <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: QS8/QASYMM8/QS16/F16/F32 </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>The output tensor. First 2 lower dimensions represent a transform of each 3D input, while every dimension above represents a batch. Data types supported: Same as <code>input</code> </td></tr>
- <tr><td class="paramdir">[in]</td><td class="paramname">convolved_dims</td><td>The convolved output dimensions. </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>In case biases are provided expands the matrix with 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>
</div>
</div>
+<a class="anchor" id="a1ae4a74e7d78eb52428e179fed20de12"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">static <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> * </td>
+ <td class="paramname"><em>input</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td>
+ <td class="paramname"><em>output</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> & </td>
+ <td class="paramname"><em>kernel_dims</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> & </td>
+ <td class="paramname"><em>conv_info</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">bool </td>
+ <td class="paramname"><em>has_bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> & </td>
+ <td class="paramname"><em>dilation</em> = <code><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U, 1U)</code> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<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_im2_col_kernel.xhtml">CLIm2ColKernel</a>. </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: QS8/QASYMM8/QS16/F16/F32 </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>The output tensor. First 2 lower dimensions represent a transform of each 3D input, while every dimension above 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>In case biases are provided expands the matrix with 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>
+
+</div>
+</div>
<hr/>The documentation for this class was generated from the following file:<ul>
<li>arm_compute/core/CL/kernels/<a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a></li>
</ul>
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