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| <title>Compute Library: CLIm2ColKernel Class Reference</title> |
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| <a href="#pub-methods">Public Member Functions</a> | |
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| <div class="title">CLIm2ColKernel Class Reference</div> </div> |
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| |
| <p>Interface for the im2col reshape kernel. |
| <a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>></code></p> |
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| Collaboration diagram for CLIm2ColKernel:</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:a569025396fa4e2e7469b7ea6e2a0a81b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a569025396fa4e2e7469b7ea6e2a0a81b">CLIm2ColKernel</a> ()</td></tr> |
| <tr class="memdesc:a569025396fa4e2e7469b7ea6e2a0a81b"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#a569025396fa4e2e7469b7ea6e2a0a81b">More...</a><br /></td></tr> |
| <tr class="separator:a569025396fa4e2e7469b7ea6e2a0a81b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adc6949024d7460d93b65d404b805ddd3"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#adc6949024d7460d93b65d404b805ddd3">CLIm2ColKernel</a> (const <a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:adc6949024d7460d93b65d404b805ddd3"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#adc6949024d7460d93b65d404b805ddd3">More...</a><br /></td></tr> |
| <tr class="separator:adc6949024d7460d93b65d404b805ddd3"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac09104c975cb1ca9ad434c325be80e56"><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#ac09104c975cb1ca9ad434c325be80e56">operator=</a> (const <a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:ac09104c975cb1ca9ad434c325be80e56"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#ac09104c975cb1ca9ad434c325be80e56">More...</a><br /></td></tr> |
| <tr class="separator:ac09104c975cb1ca9ad434c325be80e56"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:accc9c8b95ec9d657ae76703031c28def"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#accc9c8b95ec9d657ae76703031c28def">CLIm2ColKernel</a> (<a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:accc9c8b95ec9d657ae76703031c28def"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#accc9c8b95ec9d657ae76703031c28def">More...</a><br /></td></tr> |
| <tr class="separator:accc9c8b95ec9d657ae76703031c28def"><td class="memSeparator" colspan="2"> </td></tr> |
| <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:a6bc1be5100f77f4a136d8935b06d5ac6"><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#a6bc1be5100f77f4a136d8935b06d5ac6">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), unsigned int num_groups=1)</td></tr> |
| <tr class="memdesc:a6bc1be5100f77f4a136d8935b06d5ac6"><td class="mdescLeft"> </td><td class="mdescRight">Set the input and output of the kernel. <a href="#a6bc1be5100f77f4a136d8935b06d5ac6">More...</a><br /></td></tr> |
| <tr class="separator:a6bc1be5100f77f4a136d8935b06d5ac6"><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#ad34a46f53686c12a5c5e717cc9617fb6">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="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="-"/> 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"> </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"> </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"> </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="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"> </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#ad34a46f53686c12a5c5e717cc9617fb6">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="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"> </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#ad34a46f53686c12a5c5e717cc9617fb6">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="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"> </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 </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 &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#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr> |
| <tr class="memdesc:a25965a58d98e44856da286925792a2f7 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 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"> </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 </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 &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#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr> |
| <tr class="memdesc:ac74dad3e61f79334f5e73f3c3ac603cb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </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"> </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 </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 &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#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr> |
| <tr class="memdesc:a2ada6044648832c64532588f75303b44 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft"> </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"> </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#ad34a46f53686c12a5c5e717cc9617fb6">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="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">More...</a><br /></td></tr> |
| <tr class="separator:a28f5847162f352444c6ac1825d0e99c7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </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#ad34a46f53686c12a5c5e717cc9617fb6">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="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">More...</a><br /></td></tr> |
| <tr class="separator:a33e09c946b338fbfc780a9d1c66e68ad inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </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="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">More...</a><br /></td></tr> |
| <tr class="separator:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </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#ab9f813c25ed75ea7b7ac2fa3926a8f55">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="classarm__compute_1_1_i_c_l_kernel.xhtml#ad356b88c8f61267d593d9ed99835bde9">More...</a><br /></td></tr> |
| <tr class="separator:ad356b88c8f61267d593d9ed99835bde9 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab9f813c25ed75ea7b7ac2fa3926a8f55 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">cl::NDRange </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"> </td><td class="mdescRight">Return the Local-Workgroup-Size hint. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">More...</a><br /></td></tr> |
| <tr class="separator:ab9f813c25ed75ea7b7ac2fa3926a8f55 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8f7f6ab59fc0e601d750b83e75a398eb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">const std::string & </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"> </td><td class="mdescRight">Get the configuration ID. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a8f7f6ab59fc0e601d750b83e75a398eb">More...</a><br /></td></tr> |
| <tr class="separator:a8f7f6ab59fc0e601d750b83e75a398eb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </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="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"> </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="classarm__compute_1_1_i_c_l_kernel.xhtml#a57e5f498fcbfc25c28b8496dfa3fc33c">More...</a><br /></td></tr> |
| <tr class="separator:a57e5f498fcbfc25c28b8496dfa3fc33c inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> </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"> </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"> </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="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"> </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#ad34a46f53686c12a5c5e717cc9617fb6">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="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"> </td></tr> |
| <tr class="memitem:aa0191633c258a30cc27e35b99b663aac inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template<unsigned int dimension_size> </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 </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 &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#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"> </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="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"> </td></tr> |
| <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual </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"> </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"> </td></tr> |
| <tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool </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"> </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"> </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> </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"> </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"> </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> & </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"> </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"> </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:a4e256965ba7798ffe1358469be661e5a"><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#a4e256965ba7798ffe1358469be661e5a">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), unsigned int num_groups=1)</td></tr> |
| <tr class="memdesc:a4e256965ba7798ffe1358469be661e5a"><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="#a4e256965ba7798ffe1358469be661e5a">More...</a><br /></td></tr> |
| <tr class="separator:a4e256965ba7798ffe1358469be661e5a"><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="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"> </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="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"> </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="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"> </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="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">More...</a><br /></td></tr> |
| <tr class="separator:a6c9c1e7a7d96743375ca40847f0f12e2 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </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="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"> </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 </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> &<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"> </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> |
| <tr class="separator:a6c01790e4e3f22f70f69002f0cb1b913 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a> |
| Data Fields</h2></td></tr> |
| <tr class="memitem:a1acfeaa60695d4df61d8d4b5c905aa53"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a></td></tr> |
| <tr class="separator:a1acfeaa60695d4df61d8d4b5c905aa53"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a62d192d931002b4866443cd7fc71419b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a></td></tr> |
| <tr class="separator:a62d192d931002b4866443cd7fc71419b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4215b3b7076338a7834c0bbff11aefb2"><td class="memItemLeft" align="right" valign="top">std::pair< unsigned int, unsigned int > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2">_convolved_dims</a></td></tr> |
| <tr class="separator:a4215b3b7076338a7834c0bbff11aefb2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8fd589467d6c372b7b717d9cf8f961b1"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1">_num_elems_processed_per_iteration</a></td></tr> |
| <tr class="separator:a8fd589467d6c372b7b717d9cf8f961b1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af153c85a143d20108f35f4575ac9eb22"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#af153c85a143d20108f35f4575ac9eb22">_kernel_dims</a></td></tr> |
| <tr class="separator:af153c85a143d20108f35f4575ac9eb22"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a118b70265d99428bf7d068d686d0cb80"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a118b70265d99428bf7d068d686d0cb80">_conv_info</a></td></tr> |
| <tr class="separator:a118b70265d99428bf7d068d686d0cb80"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a98cef52489d010f16f5d9761bbc9424f"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f">_num_groups</a></td></tr> |
| <tr class="separator:a98cef52489d010f16f5d9761bbc9424f"><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> |
| <p>Rearranges image blocks into columns. It is used to strip out each convolution block to a single column. It is used to transform a convolution to a plain matrix multiplication.</p> |
| <p>For example taking into account the image below and assuming 3x3 image blocks with stride of 1 we have: </p><p class="formulaDsp"> |
| \[ \left( \begin{array}{cccc} a00 & a01 & a02 & a03 \\ a10 & a11 & a12 & a13 \\ a20 & a21 & a22 & a23 \\ a30 & a31 & a32 & a33 \\ \end{array} \right) = \left( \begin{array}{ccccccccc} a00 & a01 & a02 & a10 & a11 & a12 & a20 & a21 & a22 \\ a01 & a02 & a03 & a11 & a12 & a13 & a21 & a22 & a23 \\ a10 & a11 & a12 & a20 & a21 & a22 & a30 & a31 & a32 \\ a11 & a12 & a13 & a21 & a22 & a23 & a31 & a32 & a33 \\ \end{array} \right) \] |
| </p> |
| |
| <p class="definition">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 id="a569025396fa4e2e7469b7ea6e2a0a81b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a569025396fa4e2e7469b7ea6e2a0a81b">◆ </a></span>CLIm2ColKernel() <span class="overload">[1/3]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default constructor. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00289">289</a> of file <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml">CLIm2ColKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  : <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a>(<span class="keyword">nullptr</span>), <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a>(<span class="keyword">nullptr</span>), <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2">_convolved_dims</a>(), <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1">_num_elems_processed_per_iteration</a>(1), <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#af153c85a143d20108f35f4575ac9eb22">_kernel_dims</a>(), <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a118b70265d99428bf7d068d686d0cb80">_conv_info</a>(), <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f">_num_groups</a>()</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a4215b3b7076338a7834c0bbff11aefb2"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2">arm_compute::CLIm2ColKernel::_convolved_dims</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > _convolved_dims</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00106">CLIm2ColKernel.h:106</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_af153c85a143d20108f35f4575ac9eb22"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#af153c85a143d20108f35f4575ac9eb22">arm_compute::CLIm2ColKernel::_kernel_dims</a></div><div class="ttdeci">Size2D _kernel_dims</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00108">CLIm2ColKernel.h:108</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a98cef52489d010f16f5d9761bbc9424f"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f">arm_compute::CLIm2ColKernel::_num_groups</a></div><div class="ttdeci">unsigned int _num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00110">CLIm2ColKernel.h:110</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a62d192d931002b4866443cd7fc71419b"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">arm_compute::CLIm2ColKernel::_output</a></div><div class="ttdeci">ICLTensor * _output</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00105">CLIm2ColKernel.h:105</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a1acfeaa60695d4df61d8d4b5c905aa53"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">arm_compute::CLIm2ColKernel::_input</a></div><div class="ttdeci">const ICLTensor * _input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00104">CLIm2ColKernel.h:104</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a8fd589467d6c372b7b717d9cf8f961b1"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1">arm_compute::CLIm2ColKernel::_num_elems_processed_per_iteration</a></div><div class="ttdeci">unsigned int _num_elems_processed_per_iteration</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00107">CLIm2ColKernel.h:107</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a118b70265d99428bf7d068d686d0cb80"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a118b70265d99428bf7d068d686d0cb80">arm_compute::CLIm2ColKernel::_conv_info</a></div><div class="ttdeci">PadStrideInfo _conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00109">CLIm2ColKernel.h:109</a></div></div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="adc6949024d7460d93b65d404b805ddd3"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adc6949024d7460d93b65d404b805ddd3">◆ </a></span>CLIm2ColKernel() <span class="overload">[2/3]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
| |
| </div> |
| </div> |
| <a id="accc9c8b95ec9d657ae76703031c28def"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#accc9c8b95ec9d657ae76703031c28def">◆ </a></span>CLIm2ColKernel() <span class="overload">[3/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Allow instances of this class to be moved. </p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a6bc1be5100f77f4a136d8935b06d5ac6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6bc1be5100f77f4a136d8935b06d5ac6">◆ </a></span>configure()</h2> |
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| <td class="memname">void configure </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</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 class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>num_groups</em> = <code>1</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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 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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_groups</td><td>(Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00294">294</a> of file <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml">CLIm2ColKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> {</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input, output);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-><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>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>));</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <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-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">data_layout</a>();</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width_idx = <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="l00302"></a><span class="lineno"> 302</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height_idx = <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="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> input_width = input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(width_idx);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> input_height = input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(height_idx);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="comment">// Select and configure the optimal OpenCL kernel to run.</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="comment">// This function returns the OpenCL kernel's name, the arguments to pass at compile time, the number of elements processed per iteration</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="comment">// and the padding requirement flag</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  Im2ColConfiguration im2col_config = configure_opencl_kernel(input-><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>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="comment">// Create kernel</span></div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  _kernel = static_cast<cl::Kernel>(<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>(im2col_config.kernel_name, im2col_config.build_options));</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a> = input;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a> = output;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2">_convolved_dims</a> = <a class="code" href="namespacearm__compute.xhtml#abbe3399a66c35c3c353030cd0a84c936">scaled_dimensions</a>(input_width, input_height, kernel_dims.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>, kernel_dims.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>, <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#ad3fd4136244e42ad89b01c02b904336d">dilation</a>);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1">_num_elems_processed_per_iteration</a> = im2col_config.num_elems_processed_per_iteration;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#af153c85a143d20108f35f4575ac9eb22">_kernel_dims</a> = kernel_dims; <span class="comment">// Only needed by the Tuner</span></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a118b70265d99428bf7d068d686d0cb80">_conv_info</a> = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>; <span class="comment">// Only needed by the Tuner</span></div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f">_num_groups</a> = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">auto</span> win_config = <a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-><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>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>, im2col_config.num_elems_processed_per_iteration,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  im2col_config.is_padding_required_nchw, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(win_config.first);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  ICLKernel::configure_internal(win_config.second);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="comment">// Set config_id for enabling LWS tuning</span></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  _config_id = im2col_config.kernel_name;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  _config_id += <span class="stringliteral">"_"</span>;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  _config_id += <a class="code" href="namespacearm__compute.xhtml#a0a7bb17a0a0414a7162f635776a02eb5">lower_string</a>(<a class="code" href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">string_from_data_type</a>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>()));</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  _config_id += <span class="stringliteral">"_"</span>;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  _config_id += <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#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  _config_id += <span class="stringliteral">"_"</span>;</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  _config_id += <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0));</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  _config_id += <span class="stringliteral">"_"</span>;</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  _config_id += <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1));</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  _config_id += <span class="stringliteral">"_"</span>;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  _config_id += <a class="code" href="namespacearm__compute.xhtml#a0a7bb17a0a0414a7162f635776a02eb5">lower_string</a>(<a class="code" href="namespacearm__compute.xhtml#a56b9e25c2e8731ca5488e7b3ccd66f58">string_from_data_layout</a>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">data_layout</a>()));</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> }</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_im2_col_kernel_xhtml_a4215b3b7076338a7834c0bbff11aefb2"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2">arm_compute::CLIm2ColKernel::_convolved_dims</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > _convolved_dims</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00106">CLIm2ColKernel.h:106</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_abbe3399a66c35c3c353030cd0a84c936"><div class="ttname"><a href="namespacearm__compute.xhtml#abbe3399a66c35c3c353030cd0a84c936">arm_compute::scaled_dimensions</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > scaled_dimensions(unsigned int width, unsigned int height, unsigned int kernel_width, unsigned int kernel_height, const PadStrideInfo &pad_stride_info, const Size2D &dilation=Size2D(1U, 1U))</div><div class="ttdoc">Returns expected width and height of output scaled tensor depending on dimensions rounding mode.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00387">Utils.cpp:387</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad6630777dc2d315531f1e0b02491051f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">arm_compute::validate_and_configure_window</a></div><div class="ttdeci">std::pair< Status, Window > validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const Size2D &dilation)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">NEDepthwiseConvolutionLayerNativeKernel.cpp:221</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 &&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="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_af153c85a143d20108f35f4575ac9eb22"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#af153c85a143d20108f35f4575ac9eb22">arm_compute::CLIm2ColKernel::_kernel_dims</a></div><div class="ttdeci">Size2D _kernel_dims</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00108">CLIm2ColKernel.h:108</a></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_im2_col_kernel_xhtml_a98cef52489d010f16f5d9761bbc9424f"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f">arm_compute::CLIm2ColKernel::_num_groups</a></div><div class="ttdeci">unsigned int _num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00110">CLIm2ColKernel.h:110</a></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 & 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="namespacearm__compute_xhtml_a0a7bb17a0a0414a7162f635776a02eb5"><div class="ttname"><a href="namespacearm__compute.xhtml#a0a7bb17a0a0414a7162f635776a02eb5">arm_compute::lower_string</a></div><div class="ttdeci">std::string lower_string(const std::string &val)</div><div class="ttdoc">Lower a given string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00327">Utils.cpp:327</a></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="namespacearm__compute_xhtml_a142b55a483cadf4e1068a1a09a55e8e9"><div class="ttname"><a href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">arm_compute::string_from_data_type</a></div><div class="ttdeci">const std::string & string_from_data_type(DataType dt)</div><div class="ttdoc">Convert a data type identity into a string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00144">Utils.cpp:144</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a2270b3e1d20651d2d8341c858c890830"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">arm_compute::test::validation::num_groups</a></div><div class="ttdeci">const unsigned int num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">Im2Col.cpp:148</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="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="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< Kernel > 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_c_l_im2_col_kernel_xhtml_a62d192d931002b4866443cd7fc71419b"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">arm_compute::CLIm2ColKernel::_output</a></div><div class="ttdeci">ICLTensor * _output</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00105">CLIm2ColKernel.h:105</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a1acfeaa60695d4df61d8d4b5c905aa53"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">arm_compute::CLIm2ColKernel::_input</a></div><div class="ttdeci">const ICLTensor * _input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00104">CLIm2ColKernel.h:104</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 & 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="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a8fd589467d6c372b7b717d9cf8f961b1"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1">arm_compute::CLIm2ColKernel::_num_elems_processed_per_iteration</a></div><div class="ttdeci">unsigned int _num_elems_processed_per_iteration</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00107">CLIm2ColKernel.h:107</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="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_c_l_im2_col_kernel_xhtml_a118b70265d99428bf7d068d686d0cb80"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a118b70265d99428bf7d068d686d0cb80">arm_compute::CLIm2ColKernel::_conv_info</a></div><div class="ttdeci">PadStrideInfo _conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00109">CLIm2ColKernel.h:109</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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00109">CLIm2ColKernel::_conv_info</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00106">CLIm2ColKernel::_convolved_dims</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00104">CLIm2ColKernel::_input</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00108">CLIm2ColKernel::_kernel_dims</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00107">CLIm2ColKernel::_num_elems_processed_per_iteration</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00110">CLIm2ColKernel::_num_groups</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00105">CLIm2ColKernel::_output</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="_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="_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="src_2core_2_utils_8cpp_source.xhtml#l00327">arm_compute::lower_string()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">arm_compute::test::validation::num_groups</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00387">arm_compute::scaled_dimensions()</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00132">arm_compute::string_from_data_layout()</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00144">arm_compute::string_from_data_type()</a>, <a class="el" href="_toolchain_support_8h_source.xhtml#l00242">arm_compute::support::cpp11::to_string()</a>, <a class="el" href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">arm_compute::validate_and_configure_window()</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_locally_connected_layer_8cpp_source.xhtml#l00130">CLLocallyConnectedLayer::configure()</a>, and <a class="el" href="_c_l_g_e_m_m_convolution_layer_8cpp_source.xhtml#l00177">CLGEMMConvolutionLayer::configure()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ac09104c975cb1ca9ad434c325be80e56"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ac09104c975cb1ca9ad434c325be80e56">◆ </a></span>operator=() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| </div> |
| </div> |
| <a id="ad4b22573444ce7770618109732fe89fa"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad4b22573444ce7770618109732fe89fa">◆ </a></span>operator=() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
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| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">CLIm2ColKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Allow instances of this class to be moved. </p> |
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| </div> |
| </div> |
| <a id="a493987e85723a8000eb26d1f00e2ad0e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a493987e85723a8000eb26d1f00e2ad0e">◆ </a></span>run()</h2> |
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| <div class="memitem"> |
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| <td class="memname">void run </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
| <td class="paramname"><em>window</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">cl::CommandQueue & </td> |
| <td class="paramname"><em>queue</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </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> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a valid region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>). </td></tr> |
| <tr><td class="paramdir">[in,out]</td><td class="paramname">queue</td><td>Command queue on which to enqueue the kernel. </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51">ICLKernel</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00353">353</a> of file <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml">CLIm2ColKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> {</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <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="l00356"></a><span class="lineno"> 356</span>  <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="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="comment">// Get initial windows</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="comment">// Collapse in order to have (SRC_DEPTH * BATCH_SIZE) on the 3rd dimension</span></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window_collapsed = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">collapse_if_possible</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">ICLKernel::window</a>(), <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  window_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#a55ed4ad2395fd25ba847cbf6c54b85e4">set_dimension_step</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, 1);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window_output;</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  window_output.<a class="code" href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">use_tensor_dimensions</a>(<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a>-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> first_slice_3d = window_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <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> = first_slice_3d;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> slice_in = first_slice_3d;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> slice_out = window_output.<a class="code" href="classarm__compute_1_1_window.xhtml#a016fdd5b1c05ce7d06088891a0d36bff">first_slice_window_2D</a>();</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">if</span>(<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a>-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">data_layout</a>() == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>)</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  {</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> tmp_win = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">collapse_if_possible</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">ICLKernel::window</a>(), 3);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> num_batches = tmp_win[3].end();</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>.set(1, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, static_cast<int>(<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a>-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[1]), 1));</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>.set(2, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, static_cast<int>(num_batches), 1));</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  }</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  {</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>.set(0, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, static_cast<int>(<a class="code" href="namespacearm__compute.xhtml#ab237a0a375cf382d52b61653248d3d4a">ceil_to_multiple</a>(<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2">_convolved_dims</a>.first, <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1">_num_elems_processed_per_iteration</a>)), <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1">_num_elems_processed_per_iteration</a>));</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>.set(1, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, static_cast<int>(<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2">_convolved_dims</a>.second), 1));</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="comment">// Note: In case of NCHW the 3rd dimension is already set collapsing the input window</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  }</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="comment">// Setup input slice</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="comment">// The dimensions of the input are increased within the OpenCL kernel</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  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="l00390"></a><span class="lineno"> 390</span>  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="l00391"></a><span class="lineno"> 391</span>  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="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="comment">// Setup output slice</span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="comment">// The dimensions of the output are increased within the OpenCL kernel</span></div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  slice_out.<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="l00396"></a><span class="lineno"> 396</span>  slice_out.<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="l00397"></a><span class="lineno"> 397</span> </div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">num_arguments_per_3D_tensor</a>() + (<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f">_num_groups</a> == 1 ? <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a45601e0d46621a5b6f2e417d60e5c800">num_arguments_per_2D_tensor</a>() : <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">num_arguments_per_3D_tensor</a>());</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a>-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">strides_in_bytes</a>()[3]));</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a>-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">strides_in_bytes</a>()[((<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f">_num_groups</a> == 1) ? 2 : 3)]));</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">do</span></div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0;</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a>(idx, <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a>, slice_in);</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">if</span>(<a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f">_num_groups</a> == 1)</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">add_2D_tensor_argument</a>(idx, <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a>, slice_out);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  }</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  {</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a>(idx, <a class="code" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a>, slice_out);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  }</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <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="l00414"></a><span class="lineno"> 414</span>  }</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">while</span>(window_collapsed.<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>) && window_output.<a class="code" href="classarm__compute_1_1_window.xhtml#af72109ea9b9b75839d5601e39d8394de">slide_window_slice_2D</a>(slice_out) && window_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(slice_in));</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> }</div><div class="ttc" id="classarm__compute_1_1_window_xhtml_a016fdd5b1c05ce7d06088891a0d36bff"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a016fdd5b1c05ce7d06088891a0d36bff">arm_compute::Window::first_slice_window_2D</a></div><div class="ttdeci">Window first_slice_window_2D() const</div><div class="ttdoc">First 2D slice of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00267">Window.h:267</a></div></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 & 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_c_l_im2_col_kernel_xhtml_a4215b3b7076338a7834c0bbff11aefb2"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2">arm_compute::CLIm2ColKernel::_convolved_dims</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > _convolved_dims</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00106">CLIm2ColKernel.h:106</a></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 &queue, ICLKernel &kernel, const Window &window, const cl::NDRange &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_c_l_im2_col_kernel_xhtml_a98cef52489d010f16f5d9761bbc9424f"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f">arm_compute::CLIm2ColKernel::_num_groups</a></div><div class="ttdeci">unsigned int _num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00110">CLIm2ColKernel.h:110</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 &idx, const ICLTensor *tensor, const Window &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_a14470b4cb59140a1b6ff3b8f16c89ab6"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">arm_compute::Window::use_tensor_dimensions</a></div><div class="ttdeci">void use_tensor_dimensions(const TensorShape &shape, size_t first_dimension=Window::DimX)</div><div class="ttdoc">Use the tensor's dimensions to fill the window dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00250">Window.inl:250</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_af72109ea9b9b75839d5601e39d8394de"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#af72109ea9b9b75839d5601e39d8394de">arm_compute::Window::slide_window_slice_2D</a></div><div class="ttdeci">bool slide_window_slice_2D(Window &slice) const</div><div class="ttdoc">Slide the passed 2D window slice.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00307">Window.h:307</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_c_l_kernel_xhtml_a6c9c1e7a7d96743375ca40847f0f12e2"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">arm_compute::ICLKernel::num_arguments_per_3D_tensor</a></div><div class="ttdeci">static constexpr unsigned int num_arguments_per_3D_tensor()</div><div class="ttdoc">Returns the number of arguments enqueued per 3D tensor object.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00200">ICLKernel.h:200</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_a663ce71e1992366180fcb85b0a874e2f"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">arm_compute::Window::collapse_if_possible</a></div><div class="ttdeci">Window collapse_if_possible(const Window &full_window, size_t first, size_t last, bool *has_collapsed=nullptr) const</div><div class="ttdoc">Collapse the dimensions between first and last if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00054">Window.inl:54</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 & tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab237a0a375cf382d52b61653248d3d4a"><div class="ttname"><a href="namespacearm__compute.xhtml#ab237a0a375cf382d52b61653248d3d4a">arm_compute::ceil_to_multiple</a></div><div class="ttdeci">auto ceil_to_multiple(S value, T divisor) -> decltype(((value+divisor - 1)/divisor) *divisor)</div><div class="ttdoc">Computes the smallest number larger or equal to value that is a multiple of divisor.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00066">Utils.h:66</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 &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_i_c_l_kernel_xhtml_a45601e0d46621a5b6f2e417d60e5c800"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a45601e0d46621a5b6f2e417d60e5c800">arm_compute::ICLKernel::num_arguments_per_2D_tensor</a></div><div class="ttdeci">static constexpr unsigned int num_arguments_per_2D_tensor()</div><div class="ttdoc">Returns the number of arguments enqueued per 2D tensor object.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00192">ICLKernel.h:192</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 &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_c_l_im2_col_kernel_xhtml_a62d192d931002b4866443cd7fc71419b"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">arm_compute::CLIm2ColKernel::_output</a></div><div class="ttdeci">ICLTensor * _output</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00105">CLIm2ColKernel.h:105</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a1acfeaa60695d4df61d8d4b5c905aa53"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">arm_compute::CLIm2ColKernel::_input</a></div><div class="ttdeci">const ICLTensor * _input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00104">CLIm2ColKernel.h:104</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_a55ed4ad2395fd25ba847cbf6c54b85e4"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a55ed4ad2395fd25ba847cbf6c54b85e4">arm_compute::Window::set_dimension_step</a></div><div class="ttdeci">void set_dimension_step(size_t dimension, int step)</div><div class="ttdoc">Set the step of a given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00153">Window.inl:153</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_ac74dad3e61f79334f5e73f3c3ac603cb"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">arm_compute::ICLKernel::add_2D_tensor_argument</a></div><div class="ttdeci">void add_2D_tensor_argument(unsigned int &idx, const ICLTensor *tensor, const Window &window)</div><div class="ttdoc">Add the passed 2D 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#l00134">ICLKernel.h:134</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="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::DataLayout::NHWC</a></div><div class="ttdoc">Num samples, height, width, channels.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml_a8fd589467d6c372b7b717d9cf8f961b1"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1">arm_compute::CLIm2ColKernel::_num_elems_processed_per_iteration</a></div><div class="ttdeci">unsigned int _num_elems_processed_per_iteration</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00107">CLIm2ColKernel.h:107</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a6b14f175bf5281f57b561e2d4e4b1f1f"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">arm_compute::ITensorInfo::strides_in_bytes</a></div><div class="ttdeci">virtual const Strides & strides_in_bytes() const =0</div><div class="ttdoc">The strides in bytes for accessing each dimension of the tensor.</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< T > slice(const SimpleTensor< T > &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> |
| <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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00106">CLIm2ColKernel::_convolved_dims</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00104">CLIm2ColKernel::_input</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00107">CLIm2ColKernel::_num_elems_processed_per_iteration</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00110">CLIm2ColKernel::_num_groups</a>, <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00105">CLIm2ColKernel::_output</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00134">ICLKernel::add_2D_tensor_argument()</a>, <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="arm__compute_2core_2_utils_8h_source.xhtml#l00066">arm_compute::ceil_to_multiple()</a>, <a class="el" href="_window_8inl_source.xhtml#l00054">Window::collapse_if_possible()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">ITensorInfo::data_layout()</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#l00267">Window::first_slice_window_2D()</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="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::NHWC</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00192">ICLKernel::num_arguments_per_2D_tensor()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00200">ICLKernel::num_arguments_per_3D_tensor()</a>, <a class="el" href="_window_8inl_source.xhtml#l00048">Window::set()</a>, <a class="el" href="_window_8inl_source.xhtml#l00153">Window::set_dimension_step()</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#l00307">Window::slide_window_slice_2D()</a>, <a class="el" href="_window_8h_source.xhtml#l00319">Window::slide_window_slice_3D()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">ITensorInfo::strides_in_bytes()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="_window_8inl_source.xhtml#l00250">Window::use_tensor_dimensions()</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p> |
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| </div> |
| <a id="a4e256965ba7798ffe1358469be661e5a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a4e256965ba7798ffe1358469be661e5a">◆ </a></span>validate()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <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> * </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> |
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| <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> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>num_groups</em> = <code>1</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><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_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: QASYMM8/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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_groups</td><td>(Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout</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_im2_col_kernel_8cpp_source.xhtml#l00342">342</a> of file <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml">CLIm2ColKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <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>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>));</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  Im2ColConfiguration im2col_config = configure_opencl_kernel(input, 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>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(<a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(input-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), output-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), 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>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>, im2col_config.num_elems_processed_per_iteration,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  im2col_config.is_padding_required_nchw, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>)</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  .first);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> }</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_xhtml_ad6630777dc2d315531f1e0b02491051f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">arm_compute::validate_and_configure_window</a></div><div class="ttdeci">std::pair< Status, Window > validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const Size2D &dilation)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">NEDepthwiseConvolutionLayerNativeKernel.cpp:221</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_a2270b3e1d20651d2d8341c858c890830"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">arm_compute::test::validation::num_groups</a></div><div class="ttdeci">const unsigned int num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">Im2Col.cpp:148</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1misc_1_1_i_cloneable_xhtml_a4d10e5012a872e7f78f2b539b673049d"><div class="ttname"><a href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">arm_compute::misc::ICloneable::clone</a></div><div class="ttdeci">virtual std::unique_ptr< T > clone() const =0</div><div class="ttdoc">Provide a clone of the current object of class T.</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="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable< T >::clone()</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>, <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="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">arm_compute::test::validation::num_groups</a>, and <a class="el" href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">arm_compute::validate_and_configure_window()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_locally_connected_layer_8cpp_source.xhtml#l00086">CLLocallyConnectedLayer::validate()</a>, and <a class="el" href="_c_l_g_e_m_m_convolution_layer_8cpp_source.xhtml#l00373">CLGEMMConvolutionLayer::validate()</a>.</p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Field Documentation</h2> |
| <a id="a118b70265d99428bf7d068d686d0cb80"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a118b70265d99428bf7d068d686d0cb80">◆ </a></span>_conv_info</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> _conv_info</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00109">109</a> of file <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00294">CLIm2ColKernel::configure()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a4215b3b7076338a7834c0bbff11aefb2"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a4215b3b7076338a7834c0bbff11aefb2">◆ </a></span>_convolved_dims</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::pair<unsigned int, unsigned int> _convolved_dims</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00106">106</a> of file <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00294">CLIm2ColKernel::configure()</a>, and <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00353">CLIm2ColKernel::run()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a1acfeaa60695d4df61d8d4b5c905aa53"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1acfeaa60695d4df61d8d4b5c905aa53">◆ </a></span>_input</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a>* _input</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00104">104</a> of file <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00294">CLIm2ColKernel::configure()</a>, and <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00353">CLIm2ColKernel::run()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="af153c85a143d20108f35f4575ac9eb22"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af153c85a143d20108f35f4575ac9eb22">◆ </a></span>_kernel_dims</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> _kernel_dims</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00108">108</a> of file <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00294">CLIm2ColKernel::configure()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a8fd589467d6c372b7b717d9cf8f961b1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8fd589467d6c372b7b717d9cf8f961b1">◆ </a></span>_num_elems_processed_per_iteration</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">unsigned int _num_elems_processed_per_iteration</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00107">107</a> of file <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00294">CLIm2ColKernel::configure()</a>, and <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00353">CLIm2ColKernel::run()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a98cef52489d010f16f5d9761bbc9424f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a98cef52489d010f16f5d9761bbc9424f">◆ </a></span>_num_groups</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">unsigned int _num_groups</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00110">110</a> of file <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00294">CLIm2ColKernel::configure()</a>, and <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00353">CLIm2ColKernel::run()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a62d192d931002b4866443cd7fc71419b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a62d192d931002b4866443cd7fc71419b">◆ </a></span>_output</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a>* _output</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml#l00105">105</a> of file <a class="el" href="_c_l_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00294">CLIm2ColKernel::configure()</a>, and <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00353">CLIm2ColKernel::run()</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_im2_col_kernel_8h_source.xhtml">CLIm2ColKernel.h</a></li> |
| <li>src/core/CL/kernels/<a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml">CLIm2ColKernel.cpp</a></li> |
| </ul> |
| </div><!-- contents --> |
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