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| <title>Compute Library: NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols > Class Template Reference</title> |
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| <a href="#pub-methods">Public Member Functions</a> | |
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| <div class="title">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols > Class Template Reference<span class="mlabels"><span class="mlabel">final</span></span></div> </div> |
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| |
| <p>NEON kernel to perform Winograd weights transform. |
| <a href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols >:</div> |
| <div class="dyncontent"> |
| <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel__coll__graph.svg" width="246" height="320"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe> |
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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:a632c7994a369ebfdaf27eb25e84405c8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a632c7994a369ebfdaf27eb25e84405c8">NEWinogradLayerTransformWeightsKernel</a> (const <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a632c7994a369ebfdaf27eb25e84405c8"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a632c7994a369ebfdaf27eb25e84405c8">More...</a><br /></td></tr> |
| <tr class="separator:a632c7994a369ebfdaf27eb25e84405c8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae43e71907cc8f09be3338c84c18701bb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ae43e71907cc8f09be3338c84c18701bb">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:ae43e71907cc8f09be3338c84c18701bb"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#ae43e71907cc8f09be3338c84c18701bb">More...</a><br /></td></tr> |
| <tr class="separator:ae43e71907cc8f09be3338c84c18701bb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aba37abbbb60c14dfc48462c988f201de"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#aba37abbbb60c14dfc48462c988f201de">NEWinogradLayerTransformWeightsKernel</a> (<a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:aba37abbbb60c14dfc48462c988f201de"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#aba37abbbb60c14dfc48462c988f201de">More...</a><br /></td></tr> |
| <tr class="separator:aba37abbbb60c14dfc48462c988f201de"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5dbb04cc8d65cafca5884f9c2c5a82b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a5dbb04cc8d65cafca5884f9c2c5a82b8">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a5dbb04cc8d65cafca5884f9c2c5a82b8"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a5dbb04cc8d65cafca5884f9c2c5a82b8">More...</a><br /></td></tr> |
| <tr class="separator:a5dbb04cc8d65cafca5884f9c2c5a82b8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab9a247b5c031e2501d6b962d2c1024cc"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ab9a247b5c031e2501d6b962d2c1024cc">~NEWinogradLayerTransformWeightsKernel</a> ()=default</td></tr> |
| <tr class="memdesc:ab9a247b5c031e2501d6b962d2c1024cc"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="#ab9a247b5c031e2501d6b962d2c1024cc">More...</a><br /></td></tr> |
| <tr class="separator:ab9a247b5c031e2501d6b962d2c1024cc"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad25daf413f7dd45f084ae22a25b8bbe5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ad25daf413f7dd45f084ae22a25b8bbe5">NEWinogradLayerTransformWeightsKernel</a> ()</td></tr> |
| <tr class="memdesc:ad25daf413f7dd45f084ae22a25b8bbe5"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#ad25daf413f7dd45f084ae22a25b8bbe5">More...</a><br /></td></tr> |
| <tr class="separator:ad25daf413f7dd45f084ae22a25b8bbe5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab5656bb5b6334bdbe6e606c715872828"><td class="memItemLeft" align="right" valign="top">const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a> () const override</td></tr> |
| <tr class="memdesc:ab5656bb5b6334bdbe6e606c715872828"><td class="mdescLeft"> </td><td class="mdescRight">Name of the kernel. <a href="#ab5656bb5b6334bdbe6e606c715872828">More...</a><br /></td></tr> |
| <tr class="separator:ab5656bb5b6334bdbe6e606c715872828"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a87a7d4fe23da86c3682b79300d23f248"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a87a7d4fe23da86c3682b79300d23f248">get_weight_storage_size</a> (int num_output_channels, int num_input_channels) const override</td></tr> |
| <tr class="memdesc:a87a7d4fe23da86c3682b79300d23f248"><td class="mdescLeft"> </td><td class="mdescRight">Determine how much memory (in units of T) to allocate for the transformed weights. <a href="#a87a7d4fe23da86c3682b79300d23f248">More...</a><br /></td></tr> |
| <tr class="separator:a87a7d4fe23da86c3682b79300d23f248"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a07a976f4d6b4b62e2ffcea8b0dab6d9f"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a07a976f4d6b4b62e2ffcea8b0dab6d9f">get_matrix_stride</a> (const KernelShape &kernel_shape) const override</td></tr> |
| <tr class="memdesc:a07a976f4d6b4b62e2ffcea8b0dab6d9f"><td class="mdescLeft"> </td><td class="mdescRight">Gets the stride between matrices in the input worspace. <a href="#a07a976f4d6b4b62e2ffcea8b0dab6d9f">More...</a><br /></td></tr> |
| <tr class="separator:a07a976f4d6b4b62e2ffcea8b0dab6d9f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a112b35dd205c62ea6ed1447ef226da82"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">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>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &info) override</td></tr> |
| <tr class="memdesc:a112b35dd205c62ea6ed1447ef226da82"><td class="mdescLeft"> </td><td class="mdescRight">Execute the kernel on the passed window. <a href="#a112b35dd205c62ea6ed1447ef226da82">More...</a><br /></td></tr> |
| <tr class="separator:a112b35dd205c62ea6ed1447ef226da82"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4370ae5fda7bd455a171fc8ed4d3f283"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">is_parallelisable</a> () const override</td></tr> |
| <tr class="memdesc:a4370ae5fda7bd455a171fc8ed4d3f283"><td class="mdescLeft"> </td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="#a4370ae5fda7bd455a171fc8ed4d3f283">More...</a><br /></td></tr> |
| <tr class="separator:a4370ae5fda7bd455a171fc8ed4d3f283"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml">INEWinogradLayerTransformWeightsKernel< T ></a></td></tr> |
| <tr class="memitem:a2113b7c594eeb55ea4c4d7ed23b01f74 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a2113b7c594eeb55ea4c4d7ed23b01f74">INEWinogradLayerTransformWeightsKernel</a> (const <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml">INEWinogradLayerTransformWeightsKernel</a> &)=default</td></tr> |
| <tr class="memdesc:a2113b7c594eeb55ea4c4d7ed23b01f74 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a2113b7c594eeb55ea4c4d7ed23b01f74">More...</a><br /></td></tr> |
| <tr class="separator:a2113b7c594eeb55ea4c4d7ed23b01f74 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3d5b0b60d79a31bba3c7ef17c265b447 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml">INEWinogradLayerTransformWeightsKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a3d5b0b60d79a31bba3c7ef17c265b447">operator=</a> (const <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml">INEWinogradLayerTransformWeightsKernel</a> &)=default</td></tr> |
| <tr class="memdesc:a3d5b0b60d79a31bba3c7ef17c265b447 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a3d5b0b60d79a31bba3c7ef17c265b447">More...</a><br /></td></tr> |
| <tr class="separator:a3d5b0b60d79a31bba3c7ef17c265b447 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abd794d0a9e67047c532645078f773553 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#abd794d0a9e67047c532645078f773553">INEWinogradLayerTransformWeightsKernel</a> (<a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml">INEWinogradLayerTransformWeightsKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:abd794d0a9e67047c532645078f773553 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#abd794d0a9e67047c532645078f773553">More...</a><br /></td></tr> |
| <tr class="separator:abd794d0a9e67047c532645078f773553 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6406b215ecd8cf7bcc730be2eeaa7525 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml">INEWinogradLayerTransformWeightsKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a6406b215ecd8cf7bcc730be2eeaa7525">operator=</a> (<a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml">INEWinogradLayerTransformWeightsKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a6406b215ecd8cf7bcc730be2eeaa7525 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a6406b215ecd8cf7bcc730be2eeaa7525">More...</a><br /></td></tr> |
| <tr class="separator:a6406b215ecd8cf7bcc730be2eeaa7525 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aaadab47aee543f94771e81b16517b1d5 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#aaadab47aee543f94771e81b16517b1d5">INEWinogradLayerTransformWeightsKernel</a> ()</td></tr> |
| <tr class="separator:aaadab47aee543f94771e81b16517b1d5 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a668729f636910fd5f425cee965efee6d inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a668729f636910fd5f425cee965efee6d">~INEWinogradLayerTransformWeightsKernel</a> ()</td></tr> |
| <tr class="separator:a668729f636910fd5f425cee965efee6d inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a779dc9599bd3a0aa390ba9d3a1d8d6d1 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a779dc9599bd3a0aa390ba9d3a1d8d6d1">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights_hwio, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, const int matrix_stride, const int num_output_channels, const int num_input_channels)=0</td></tr> |
| <tr class="memdesc:a779dc9599bd3a0aa390ba9d3a1d8d6d1 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Configure the weights transform kernel. <a href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a779dc9599bd3a0aa390ba9d3a1d8d6d1">More...</a><br /></td></tr> |
| <tr class="separator:a779dc9599bd3a0aa390ba9d3a1d8d6d1 inherit pub_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a></td></tr> |
| <tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr> |
| <tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </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: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:a6d3d1d4d66f89908455bc5f05e259ce9"><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_n_e_winograd_layer_transform_weights_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9">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="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a> &winograd_info)</td></tr> |
| <tr class="memdesc:a6d3d1d4d66f89908455bc5f05e259ce9"><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_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a>. <a href="#a6d3d1d4d66f89908455bc5f05e259ce9">More...</a><br /></td></tr> |
| <tr class="separator:a6d3d1d4d66f89908455bc5f05e259ce9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_static_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel')"><img src="closed.png" alt="-"/> Static Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml">INEWinogradLayerTransformWeightsKernel< T ></a></td></tr> |
| <tr class="memitem:a8b4165c2e7c5c983b930a0f5f4df6acf inherit pub_static_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><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_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a8b4165c2e7c5c983b930a0f5f4df6acf">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *weights)</td></tr> |
| <tr class="memdesc:a8b4165c2e7c5c983b930a0f5f4df6acf inherit pub_static_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><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_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a>. <a href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a8b4165c2e7c5c983b930a0f5f4df6acf">More...</a><br /></td></tr> |
| <tr class="separator:a8b4165c2e7c5c983b930a0f5f4df6acf inherit pub_static_methods_classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><h3>template<typename T, int OutputTileRows, int OutputTileCols, int KernelRows, int KernelCols><br /> |
| class arm_compute::NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></h3> |
| |
| <p>NEON kernel to perform Winograd weights transform. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00480">480</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a632c7994a369ebfdaf27eb25e84405c8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a632c7994a369ebfdaf27eb25e84405c8">◆ </a></span>NEWinogradLayerTransformWeightsKernel() <span class="overload">[1/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a>< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols > & </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="aba37abbbb60c14dfc48462c988f201de"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aba37abbbb60c14dfc48462c988f201de">◆ </a></span>NEWinogradLayerTransformWeightsKernel() <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_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a>< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols > && </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> |
| <a id="ab9a247b5c031e2501d6b962d2c1024cc"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab9a247b5c031e2501d6b962d2c1024cc">◆ </a></span>~NEWinogradLayerTransformWeightsKernel()</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_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a> </td> |
| <td>(</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>Default destructor. </p> |
| |
| </div> |
| </div> |
| <a id="ad25daf413f7dd45f084ae22a25b8bbe5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad25daf413f7dd45f084ae22a25b8bbe5">◆ </a></span>NEWinogradLayerTransformWeightsKernel() <span class="overload">[3/3]</span></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_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</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="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml#l00240">240</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml">NEWinogradConvolutionLayerKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  : _transform(<span class="keyword">nullptr</span>), _weights_hwio(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>), _matrix_stride(0), _num_output_channels(0), _num_input_channels(0)</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> {</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a07a976f4d6b4b62e2ffcea8b0dab6d9f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a07a976f4d6b4b62e2ffcea8b0dab6d9f">◆ </a></span>get_matrix_stride()</h2> |
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| <td class="mlabels-left"> |
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| <td class="memname">int get_matrix_stride </td> |
| <td>(</td> |
| <td class="paramtype">const KernelShape & </td> |
| <td class="paramname"><em>kernel_shape</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Gets the stride between matrices in the input worspace. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">kernel_shape</td><td>The shape of the weights tensor.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Stride expressed in bytes. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a0769fae1b815e5e48086ad25c1528dec">INEWinogradLayerTransformWeightsKernel< T ></a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml#l00246">246</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml">NEWinogradConvolutionLayerKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> {</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">return</span> WinogradConv::get_kernel_matrix_stride(kernel_shape);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a87a7d4fe23da86c3682b79300d23f248"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a87a7d4fe23da86c3682b79300d23f248">◆ </a></span>get_weight_storage_size()</h2> |
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| <td class="memname">unsigned int get_weight_storage_size </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>num_output_channels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>num_input_channels</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Determine how much memory (in units of T) to allocate for the transformed weights. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_output_channels</td><td>Number of output feature maps. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_input_channels</td><td>Number of input feature maps.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Storage size (in units of T) required. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#ac87d8039da10e7380bcaf59169eb4558">INEWinogradLayerTransformWeightsKernel< T ></a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml#l00231">231</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml">NEWinogradConvolutionLayerKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">const</span> KernelShape <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>(num_output_channels, KernelRows, KernelCols, num_input_channels);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">return</span> static_cast<unsigned int>(</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">// WinogradConv returns the size in bytes, we divide by `sizeof(T)` to express that in units of T</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  WinogradConv::get_kernel_storage_size(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>) / <span class="keyword">sizeof</span>(T));</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00097">arm_compute::test::validation::shape</a>.</p> |
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| <a id="a4370ae5fda7bd455a171fc8ed4d3f283"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a4370ae5fda7bd455a171fc8ed4d3f283">◆ </a></span>is_parallelisable()</h2> |
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| <td class="memname">bool is_parallelisable </td> |
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| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Indicates whether or not the kernel is parallelisable. </p> |
| <p>If the kernel is parallelisable then 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> can be split into sub-windows which can then be run in parallel.</p> |
| <p>If the kernel is not parallelisable then only 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> can be passed to <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82" title="Execute the kernel on the passed window.">run()</a></p> |
| <dl class="section return"><dt>Returns</dt><dd>True if the kernel is parallelisable </dd></dl> |
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| <p>Reimplemented from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">IKernel</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml#l00290">290</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml">NEWinogradConvolutionLayerKernel.cpp</a>.</p> |
| <div class="fragment"><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>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> }</div></div><!-- fragment --> |
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| <a id="ab5656bb5b6334bdbe6e606c715872828"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab5656bb5b6334bdbe6e606c715872828">◆ </a></span>name()</h2> |
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| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Name of the kernel. </p> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class.">Kernel</a> name </dd></dl> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00496">496</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  {</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">return</span> <span class="stringliteral">"NEWinogradLayerTransformWeightsKernel"</span>;</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  }</div></div><!-- fragment --> |
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| <a id="ae43e71907cc8f09be3338c84c18701bb"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae43e71907cc8f09be3338c84c18701bb">◆ </a></span>operator=() <span class="overload">[1/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a>< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols > & </td> |
| <td class="paramname"></td><td>)</td> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| <a id="a5dbb04cc8d65cafca5884f9c2c5a82b8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5dbb04cc8d65cafca5884f9c2c5a82b8">◆ </a></span>operator=() <span class="overload">[2/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a>< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols > && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
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| <p>Allow instances of this class to be moved. </p> |
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| <a id="a112b35dd205c62ea6ed1447ef226da82"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a112b35dd205c62ea6ed1447ef226da82">◆ </a></span>run()</h2> |
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| <td class="memname">void run </td> |
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| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
| <td class="paramname"><em>window</em>, </td> |
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| <td class="paramtype">const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> & </td> |
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| <p>Execute the kernel on the passed window. </p> |
| <dl class="section warning"><dt>Warning</dt><dd>If <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283" title="Indicates whether or not the kernel is parallelisable.">is_parallelisable()</a> returns false then the passed window must be equal to <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a></dd></dl> |
| <dl class="section note"><dt>Note</dt><dd>The window has to be a region within the window returned by the <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a> method</dd> |
| <dd> |
| The width of the window has to be a multiple of num_elems_processed_per_iteration().</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 region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Info about executing thread and CPU. </td></tr> |
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| </dd> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">ICPPKernel</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml#l00275">275</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml">NEWinogradConvolutionLayerKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</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="l00279"></a><span class="lineno"> 279</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> fst = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>();</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> lst = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>();</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  _transform->set_weight_tensor(_weights_hwio-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">buffer</a>());</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> matrix_row_stride = <a class="code" href="utils_8hpp.xhtml#a8f6fbf8b243a10af40ce8d47a1013384">roundup</a>(_num_output_channels, WinogradConv::N_BLOCK);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  _transform->set_output_matrices(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">buffer</a>(), _matrix_stride, matrix_row_stride);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  _transform->set_working_space(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">buffer</a>());</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  _transform->run(fst, lst);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> }</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="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_ab988210662dbd3bf32fd563c7dd1bdbf"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">arm_compute::ITensor::buffer</a></div><div class="ttdeci">virtual uint8_t * buffer() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return a pointer to CPU memory.</div></div> |
| <div class="ttc" id="utils_8hpp_xhtml_a8f6fbf8b243a10af40ce8d47a1013384"><div class="ttname"><a href="utils_8hpp.xhtml#a8f6fbf8b243a10af40ce8d47a1013384">roundup</a></div><div class="ttdeci">T roundup(const T a, const T b)</div><div class="ttdef"><b>Definition:</b> <a href="utils_8hpp_source.xhtml#l00041">utils.hpp:41</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="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_window_1_1_dimension_xhtml_a0f590bfcf19110f44efc502e7b5c1d9e"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">arm_compute::Window::Dimension::end</a></div><div class="ttdeci">constexpr int end() const</div><div class="ttdoc">Return the end of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00097">Window.h:97</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml_ab24e31d1a4830bf79564ee902ec6c060"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">arm_compute::Window::Dimension::start</a></div><div class="ttdeci">constexpr int start() const</div><div class="ttdoc">Return the start of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00092">Window.h:92</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="classarm__compute_1_1_window_xhtml_a273fd2ecdd45169b2f702f01a7e5e382"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">arm_compute::Window::x</a></div><div class="ttdeci">constexpr const Dimension & x() const</div><div class="ttdoc">Alias to access the first dimension of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00143">Window.h:143</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00940">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_error_8h_source.xhtml#l00160">ARM_COMPUTE_UNUSED</a>, <a class="el" href="_window_8h_source.xhtml#l00097">Window::Dimension::end()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::info</a>, <a class="el" href="utils_8hpp_source.xhtml#l00041">roundup()</a>, <a class="el" href="_window_8h_source.xhtml#l00092">Window::Dimension::start()</a>, and <a class="el" href="_window_8h_source.xhtml#l00143">Window::x()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a6d3d1d4d66f89908455bc5f05e259ce9">◆ </a></span>validate()</h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
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| <td class="paramtype">const <a class="el" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a> & </td> |
| <td class="paramname"><em>winograd_info</em> </td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml">NEWinogradLayerTransformWeightsKernel</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor info. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout). kernel_x must be 3 and equal to kernel_y. Data types supported: F32. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor info. The output is a 3D tensor with dimensions [OFM, IFM, 16] or [OFM, IFM, 36]. Data type supported: same as <code>input</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">winograd_info</td><td>Contains Winograd's information described in <a class="el" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a></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="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml#l00296">296</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml">NEWinogradConvolutionLayerKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments_winograd_weight_trans(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">winograd_info</a>));</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_and_configure_window_winograd_weight_trans(input->clone().get(), output->clone().get(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">winograd_info</a>).first);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> }</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="namespacearm__compute_1_1test_1_1validation_xhtml_a809d18ccde99d938a68cb90ef53aa749"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">arm_compute::test::validation::winograd_info</a></div><div class="ttdeci">winograd_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00330">Winograd.cpp:330</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>, and <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00330">arm_compute::test::validation::winograd_info</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a></li> |
| <li>src/core/NEON/kernels/<a class="el" href="_n_e_winograd_convolution_layer_kernel_8cpp_source.xhtml">NEWinogradConvolutionLayerKernel.cpp</a></li> |
| </ul> |
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| <li class="footer">Generated on Mon Sep 2 2019 11:47:38 for Compute Library by |
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