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| <p>GLES Compute kernel to multiply two input matrices "A" and "B" or to multiply a vector "A" by a matrix "B". |
| <a href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml">GCGEMMMatrixMultiplyKernel.h</a>></code></p> |
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| Collaboration diagram for GCGEMMMatrixMultiplyKernel:</div> |
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| <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel__coll__graph.svg" width="218" height="187"><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:ad8d2a97f9d5033932caaddcde107e9ce"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#ad8d2a97f9d5033932caaddcde107e9ce">GCGEMMMatrixMultiplyKernel</a> ()</td></tr> |
| <tr class="memdesc:ad8d2a97f9d5033932caaddcde107e9ce"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#ad8d2a97f9d5033932caaddcde107e9ce">More...</a><br /></td></tr> |
| <tr class="separator:ad8d2a97f9d5033932caaddcde107e9ce"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8c98908c8f47f43d10cb516f281efe02"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8c98908c8f47f43d10cb516f281efe02">GCGEMMMatrixMultiplyKernel</a> (const <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a8c98908c8f47f43d10cb516f281efe02"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a8c98908c8f47f43d10cb516f281efe02">More...</a><br /></td></tr> |
| <tr class="separator:a8c98908c8f47f43d10cb516f281efe02"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0b0ecc60be6600a55aa46dffaa803ed9"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a0b0ecc60be6600a55aa46dffaa803ed9">operator=</a> (const <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a0b0ecc60be6600a55aa46dffaa803ed9"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a0b0ecc60be6600a55aa46dffaa803ed9">More...</a><br /></td></tr> |
| <tr class="separator:a0b0ecc60be6600a55aa46dffaa803ed9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a590fefc3367a5db2e77e5bf9e310b0a7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a590fefc3367a5db2e77e5bf9e310b0a7">GCGEMMMatrixMultiplyKernel</a> (<a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a590fefc3367a5db2e77e5bf9e310b0a7"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a590fefc3367a5db2e77e5bf9e310b0a7">More...</a><br /></td></tr> |
| <tr class="separator:a590fefc3367a5db2e77e5bf9e310b0a7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6cda598544253c29aec8f10ea78a8aed"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6cda598544253c29aec8f10ea78a8aed">operator=</a> (<a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a6cda598544253c29aec8f10ea78a8aed"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a6cda598544253c29aec8f10ea78a8aed">More...</a><br /></td></tr> |
| <tr class="separator:a6cda598544253c29aec8f10ea78a8aed"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a46c079128d5df79ba758501f3aeea07a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a46c079128d5df79ba758501f3aeea07a">configure</a> (const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input0, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input1, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *output, float alpha, bool is_interleaved_transposed=true)</td></tr> |
| <tr class="memdesc:a46c079128d5df79ba758501f3aeea07a"><td class="mdescLeft"> </td><td class="mdescRight">Initialise the kernel's input, output and alpha. <a href="#a46c079128d5df79ba758501f3aeea07a">More...</a><br /></td></tr> |
| <tr class="separator:a46c079128d5df79ba758501f3aeea07a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8fd12b95bdde3f93db96bc9b1598db69"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>) override</td></tr> |
| <tr class="memdesc:a8fd12b95bdde3f93db96bc9b1598db69"><td class="mdescLeft"> </td><td class="mdescRight">Enqueue the OpenGL ES shader to process the given window. <a href="#a8fd12b95bdde3f93db96bc9b1598db69">More...</a><br /></td></tr> |
| <tr class="separator:a8fd12b95bdde3f93db96bc9b1598db69"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_g_c_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_g_c_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml">IGCKernel</a></td></tr> |
| <tr class="memitem:abd51b7f007e5846ae05efdaca32e876c inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#abd51b7f007e5846ae05efdaca32e876c">IGCKernel</a> ()</td></tr> |
| <tr class="memdesc:abd51b7f007e5846ae05efdaca32e876c inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#abd51b7f007e5846ae05efdaca32e876c">More...</a><br /></td></tr> |
| <tr class="separator:abd51b7f007e5846ae05efdaca32e876c inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abca9f85e09acd3e4de49711b62dc8549 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml">GCKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#abca9f85e09acd3e4de49711b62dc8549">kernel</a> ()</td></tr> |
| <tr class="memdesc:abca9f85e09acd3e4de49711b62dc8549 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Returns a reference to the GLES kernel of this object. <a href="#abca9f85e09acd3e4de49711b62dc8549">More...</a><br /></td></tr> |
| <tr class="separator:abca9f85e09acd3e4de49711b62dc8549 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae7a1e979b3442bd2f7732b5f51d5dded inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">add_1D_tensor_argument</a> (unsigned int &idx, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *tensor, const unsigned int binding_point, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr> |
| <tr class="memdesc:ae7a1e979b3442bd2f7732b5f51d5dded inherit pub_methods_classarm__compute_1_1_i_g_c_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="#ae7a1e979b3442bd2f7732b5f51d5dded">More...</a><br /></td></tr> |
| <tr class="separator:ae7a1e979b3442bd2f7732b5f51d5dded inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a633d6a0cb573106e4d420b664cb29b66 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">add_2D_tensor_argument</a> (unsigned int &idx, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *tensor, const unsigned int binding_point, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr> |
| <tr class="memdesc:a633d6a0cb573106e4d420b664cb29b66 inherit pub_methods_classarm__compute_1_1_i_g_c_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="#a633d6a0cb573106e4d420b664cb29b66">More...</a><br /></td></tr> |
| <tr class="separator:a633d6a0cb573106e4d420b664cb29b66 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa9ed9d806fc3364df21027387b9e735a inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">add_3D_tensor_argument</a> (unsigned int &idx, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *tensor, const unsigned int binding_point, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr> |
| <tr class="memdesc:aa9ed9d806fc3364df21027387b9e735a inherit pub_methods_classarm__compute_1_1_i_g_c_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="#aa9ed9d806fc3364df21027387b9e735a">More...</a><br /></td></tr> |
| <tr class="separator:aa9ed9d806fc3364df21027387b9e735a inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a770f45838881fc061294e56d64f34386 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a770f45838881fc061294e56d64f34386">num_arguments_per_1D_tensor</a> () const </td></tr> |
| <tr class="memdesc:a770f45838881fc061294e56d64f34386 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of arguments enqueued per 1D tensor object. <a href="#a770f45838881fc061294e56d64f34386">More...</a><br /></td></tr> |
| <tr class="separator:a770f45838881fc061294e56d64f34386 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac734502531e7f95e25b3bf688a304a59 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ac734502531e7f95e25b3bf688a304a59">num_arguments_per_2D_tensor</a> () const </td></tr> |
| <tr class="memdesc:ac734502531e7f95e25b3bf688a304a59 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of arguments enqueued per 2D tensor object. <a href="#ac734502531e7f95e25b3bf688a304a59">More...</a><br /></td></tr> |
| <tr class="separator:ac734502531e7f95e25b3bf688a304a59 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4feaae9c860cddfa843d37c953674a22 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a4feaae9c860cddfa843d37c953674a22">num_arguments_per_3D_tensor</a> () const </td></tr> |
| <tr class="memdesc:a4feaae9c860cddfa843d37c953674a22 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of arguments enqueued per 3D tensor object. <a href="#a4feaae9c860cddfa843d37c953674a22">More...</a><br /></td></tr> |
| <tr class="separator:a4feaae9c860cddfa843d37c953674a22 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3c6173aecfebc9030bf8a0bee0c0ced8 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a3c6173aecfebc9030bf8a0bee0c0ced8">set_lws_hint</a> (<a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml">gles::NDRange</a> &lws_hint)</td></tr> |
| <tr class="memdesc:a3c6173aecfebc9030bf8a0bee0c0ced8 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Set the Local-Workgroup-Size hint. <a href="#a3c6173aecfebc9030bf8a0bee0c0ced8">More...</a><br /></td></tr> |
| <tr class="separator:a3c6173aecfebc9030bf8a0bee0c0ced8 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr> |
| <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr> |
| <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr> |
| <tr class="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="#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:abfab8f0d4928e1081d9f65b77933e24a 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#abfab8f0d4928e1081d9f65b77933e24a">is_parallelisable</a> () const </td></tr> |
| <tr class="memdesc:abfab8f0d4928e1081d9f65b77933e24a 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="#abfab8f0d4928e1081d9f65b77933e24a">More...</a><br /></td></tr> |
| <tr class="separator:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa6daa9b04e2035bf007e5e5c3c4396a8 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#aa6daa9b04e2035bf007e5e5c3c4396a8">border_size</a> () const </td></tr> |
| <tr class="memdesc:aa6daa9b04e2035bf007e5e5c3c4396a8 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="#aa6daa9b04e2035bf007e5e5c3c4396a8">More...</a><br /></td></tr> |
| <tr class="separator:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a> () const </td></tr> |
| <tr class="memdesc:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="#a3f5646133956f06348b310ccc3d36353">More...</a><br /></td></tr> |
| <tr class="separator:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>GLES Compute kernel to multiply two input matrices "A" and "B" or to multiply a vector "A" by a matrix "B". </p> |
| <p>All elements of the output matrix/vector will be multiplied by alpha</p> |
| <dl class="section note"><dt>Note</dt><dd>If the output tensor is a matrix, the implementation assumes that the input tensors <code>input0</code> and <code>input1</code> are both matrices and reshaped respectively with <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml">GCGEMMInterleave4x4Kernel</a>" and <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml">GCGEMMTranspose1xWKernel</a> </dd> |
| <dd> |
| If the output tensor is a vector and the data type is F32, the implementation assumes that the first input tensor <code>input0</code> is a vector and the second input tensor <code>input1</code> a matrix. The implementation also assumes that both tensors have not been reshaped</dd></dl> |
| <dl class="section attention"><dt>Attention</dt><dd>The second input tensor must have at least 2 dimensions (matrix) </dd></dl> |
| |
| <p>Definition at line <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml#l00041">41</a> of file <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml">GCGEMMMatrixMultiplyKernel.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a class="anchor" id="ad8d2a97f9d5033932caaddcde107e9ce"></a> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </div><div class="memdoc"> |
| |
| <p>Default constructor. </p> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </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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| <a class="anchor" id="a590fefc3367a5db2e77e5bf9e310b0a7"></a> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| <p>Allow instances of this class to be moved. </p> |
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| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a class="anchor" id="a46c079128d5df79ba758501f3aeea07a"></a> |
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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_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>input0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>input1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>alpha</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>is_interleaved_transposed</em> = <code>true</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </div><div class="memdoc"> |
| |
| <p>Initialise the kernel's input, output and alpha. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input0</td><td>Input tensor containing the interleaved Matrix A or the vector A. Data types supported: F16/F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input1</td><td>Input tensor containing the transposed Matrix B if the first input tensor A is not a vector. If the output tensor is a vector, input1 must contain the matrix B not reshaped. Data type supported: same as <code>input0</code> </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Output tensor to store the result of matrix multiplication. Data type supported: same as <code>input0</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">alpha</td><td>Weight of the matrix product </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">is_interleaved_transposed</td><td>(Optional) True if input0 and input1 have been reshaped respectively using <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml">GCGEMMInterleave4x4Kernel</a> and <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml">GCGEMMTranspose1xWKernel</a> </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</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> |
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| </div> |
| </div> |
| <a class="anchor" id="a6cda598544253c29aec8f10ea78a8aed"></a> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</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> |
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| </table> |
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| |
| <p>Allow instances of this class to be moved. </p> |
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| </div> |
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| <a class="anchor" id="a8fd12b95bdde3f93db96bc9b1598db69"></a> |
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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><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| </table> |
| </div><div class="memdoc"> |
| |
| <p>Enqueue the OpenGL ES shader to process the given window. </p> |
| <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#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a>). </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2">IGCKernel</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>arm_compute/core/GLES_COMPUTE/kernels/<a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml">GCGEMMMatrixMultiplyKernel.h</a></li> |
| </ul> |
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