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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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| <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:ada3b192e7f6ec5a8950b57fae93e9166"><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#ada3b192e7f6ec5a8950b57fae93e9166">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, const <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml">GEMMReshapeInfo</a> &reshape_info=<a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml">GEMMReshapeInfo</a>())</td></tr> |
| <tr class="memdesc:ada3b192e7f6ec5a8950b57fae93e9166"><td class="mdescLeft"> </td><td class="mdescRight">Initialise the kernel's input, output and alpha. <a href="#ada3b192e7f6ec5a8950b57fae93e9166">More...</a><br /></td></tr> |
| <tr class="separator:ada3b192e7f6ec5a8950b57fae93e9166"><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#ad34a46f53686c12a5c5e717cc9617fb6">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="classarm__compute_1_1_i_g_c_kernel.xhtml#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:a3b8f9d088e013cfbb039fd0ebbe42589 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#a3b8f9d088e013cfbb039fd0ebbe42589">kernel</a> ()</td></tr> |
| <tr class="memdesc:a3b8f9d088e013cfbb039fd0ebbe42589 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="classarm__compute_1_1_i_g_c_kernel.xhtml#a3b8f9d088e013cfbb039fd0ebbe42589">More...</a><br /></td></tr> |
| <tr class="separator:a3b8f9d088e013cfbb039fd0ebbe42589 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#ad34a46f53686c12a5c5e717cc9617fb6">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="classarm__compute_1_1_i_g_c_kernel.xhtml#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#ad34a46f53686c12a5c5e717cc9617fb6">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="classarm__compute_1_1_i_g_c_kernel.xhtml#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#ad34a46f53686c12a5c5e717cc9617fb6">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="classarm__compute_1_1_i_g_c_kernel.xhtml#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:a24938aee389d915b1cc481f11346b2f6 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#a24938aee389d915b1cc481f11346b2f6">num_arguments_per_1D_tensor</a> () const</td></tr> |
| <tr class="memdesc:a24938aee389d915b1cc481f11346b2f6 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="classarm__compute_1_1_i_g_c_kernel.xhtml#a24938aee389d915b1cc481f11346b2f6">More...</a><br /></td></tr> |
| <tr class="separator:a24938aee389d915b1cc481f11346b2f6 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1cdff9e90a54e4ea673d10b2dcd7ec9f 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#a1cdff9e90a54e4ea673d10b2dcd7ec9f">num_arguments_per_2D_tensor</a> () const</td></tr> |
| <tr class="memdesc:a1cdff9e90a54e4ea673d10b2dcd7ec9f 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="classarm__compute_1_1_i_g_c_kernel.xhtml#a1cdff9e90a54e4ea673d10b2dcd7ec9f">More...</a><br /></td></tr> |
| <tr class="separator:a1cdff9e90a54e4ea673d10b2dcd7ec9f inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abb64cdefb07e7d0e4dc5722015cccc35 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#abb64cdefb07e7d0e4dc5722015cccc35">num_arguments_per_3D_tensor</a> () const</td></tr> |
| <tr class="memdesc:abb64cdefb07e7d0e4dc5722015cccc35 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="classarm__compute_1_1_i_g_c_kernel.xhtml#abb64cdefb07e7d0e4dc5722015cccc35">More...</a><br /></td></tr> |
| <tr class="separator:abb64cdefb07e7d0e4dc5722015cccc35 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="classarm__compute_1_1_i_g_c_kernel.xhtml#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="memitem:ad5ba9d34a3a855bf1dd2e36316ff550a 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#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_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Set the targeted GPU architecture. <a href="classarm__compute_1_1_i_g_c_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">More...</a><br /></td></tr> |
| <tr class="separator:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">get_target</a> () const</td></tr> |
| <tr class="memdesc:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Get the targeted GPU architecture. <a href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">More...</a><br /></td></tr> |
| <tr class="separator:aa550ff0352ff2388e02f7b0a41bf5fe7 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="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:a6902b8a897391fd3c0f186bef31f4d20"><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_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6902b8a897391fd3c0f186bef31f4d20">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input0, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, float alpha, bool is_interleaved_transposed, const <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml">GEMMReshapeInfo</a> &reshape_info, <a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> gpu_target)</td></tr> |
| <tr class="memdesc:a6902b8a897391fd3c0f186bef31f4d20"><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_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a>. <a href="#a6902b8a897391fd3c0f186bef31f4d20">More...</a><br /></td></tr> |
| <tr class="separator:a6902b8a897391fd3c0f186bef31f4d20"><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 attention"><dt>Attention</dt><dd>The second input tensor must have at least 2 dimensions (matrix) </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml#l00039">39</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 id="ad8d2a97f9d5033932caaddcde107e9ce"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad8d2a97f9d5033932caaddcde107e9ce">◆ </a></span>GCGEMMMatrixMultiplyKernel() <span class="overload">[1/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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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> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default constructor. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml#l00180">180</a> of file <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml">GCGEMMMatrixMultiplyKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  : _input0(<span class="keyword">nullptr</span>), _input1(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a8c98908c8f47f43d10cb516f281efe02"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8c98908c8f47f43d10cb516f281efe02">◆ </a></span>GCGEMMMatrixMultiplyKernel() <span class="overload">[2/3]</span></h2> |
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| <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_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> |
| </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="a590fefc3367a5db2e77e5bf9e310b0a7"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a590fefc3367a5db2e77e5bf9e310b0a7">◆ </a></span>GCGEMMMatrixMultiplyKernel() <span class="overload">[3/3]</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_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> |
| </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="ada3b192e7f6ec5a8950b57fae93e9166"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ada3b192e7f6ec5a8950b57fae93e9166">◆ </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_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 class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml">GEMMReshapeInfo</a> & </td> |
| <td class="paramname"><em>reshape_info</em> = <code><a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml">GEMMReshapeInfo</a>()</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">reshape_info</td><td>(Optional) GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml#l00185">185</a> of file <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml">GCGEMMMatrixMultiplyKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input0, input1, output);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="comment">// Perform validate step</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(input0-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), input1-><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>(), is_interleaved_transposed, reshape_info));</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  _input0 = input0;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  _input1 = input1;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  _output = output;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="comment">// Get target architecture</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> gpu_target = <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">get_target</a>();</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  ElementsProcessed num_elements_processed{};</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">auto</span> win_config = validate_and_configure_window(input0-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), input1-><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>(), is_interleaved_transposed, reshape_info, gpu_target, num_elements_processed);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(win_config.first);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  IGCKernel::configure(win_config.second);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="comment">// Create build options</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  std::set<std::string> build_opts;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::string <a class="code" href="_c_l_im2_col_kernel_8cpp.xhtml#a624a24e6d361fe7b8b8b2f6b375683a4">kernel_name</a>;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  build_opts.emplace(<span class="stringliteral">"#define LOCAL_SIZE_X "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(1));</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  build_opts.emplace(<span class="stringliteral">"#define LOCAL_SIZE_Y "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(1));</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  build_opts.emplace(<span class="stringliteral">"#define LOCAL_SIZE_Z "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(1));</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  build_opts.emplace(<span class="stringliteral">"#define COLS_A "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(input0-><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="l00214"></a><span class="lineno"> 214</span>  build_opts.emplace(<span class="stringliteral">"#define COLS_B "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(input1-><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="l00215"></a><span class="lineno"> 215</span>  build_opts.emplace(<span class="stringliteral">"#define ALPHA "</span> + <a class="code" href="namespacearm__compute.xhtml#a9cd394c15b73f79ca1d98f5328064be2">float_to_string_with_full_precision</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>));</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">// Check if the output tensor is a vector. If so,the kernel runs the vector-matrix multiplication</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">if</span>(is_interleaved_transposed)</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> mult_transpose1xW_width = reshape_info.mult_transpose1xW_width();</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> mult_interleave4x4_height = reshape_info.mult_interleave4x4_height();</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  build_opts.emplace(<span class="stringliteral">"#define MULT_TRANSPOSE1XW_WIDTH "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(mult_transpose1xW_width));</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  build_opts.emplace(<span class="stringliteral">"#define MULT_INTERLEAVE4X4_HEIGHT "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(mult_interleave4x4_height));</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">switch</span>(input0-><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="l00227"></a><span class="lineno"> 227</span>  {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  build_opts.emplace(<span class="stringliteral">"#define DATA_TYPE_FP16"</span>);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  build_opts.emplace(<span class="stringliteral">"#define DATA_TYPE_FP32"</span>);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Current data type is not supported"</span>);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  build_opts.emplace(<span class="stringliteral">"#define GEMM_MM_INTERLEAVED_TRANSPOSED"</span>);</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>  <a class="code" href="_c_l_im2_col_kernel_8cpp.xhtml#a624a24e6d361fe7b8b8b2f6b375683a4">kernel_name</a> = <span class="stringliteral">"gemm_mm_interleaved_transposed"</span>;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  }</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="comment">// Special case for 1xN, 2xN, 3xN and 4xN input0 tensor</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> arch_target = <a class="code" href="namespacearm__compute.xhtml#a2355c2bf5d1950088937416baea24fe6">get_arch_from_target</a>(gpu_target);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">switch</span>(input0-><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="l00251"></a><span class="lineno"> 251</span>  {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  build_opts.emplace(<span class="stringliteral">"#define DATA_TYPE_FP16"</span>);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  build_opts.emplace(<span class="stringliteral">"#define MM_PROCESS_4X_OPTIMIZED"</span>);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  build_opts.emplace(<span class="stringliteral">"#define GEMM_MM_FLOATING_POINT"</span>);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  build_opts.emplace(<span class="stringliteral">"#define DATA_TYPE_FP32"</span>);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">if</span>(arch_target == <a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3aa78cc0fd1cab24af0fad71dc4c256f8e">GPUTarget::BIFROST</a> && input0-><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#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>() != 1)</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  build_opts.emplace(<span class="stringliteral">"#define GEMM_MM_FLOATING_POINT_BIFROST"</span>);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  {</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  build_opts.emplace(<span class="stringliteral">"#define GEMM_MM_FLOATING_POINT"</span>);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Current data type is not supported"</span>);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  build_opts.emplace(<span class="stringliteral">"#define NUM_ELEMS_PROCESSED_PER_THREAD_X "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(num_elements_processed.x()));</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  build_opts.emplace(<span class="stringliteral">"#define NUM_ELEMS_PROCESSED_PER_THREAD_Y "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(num_elements_processed.y()));</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="_c_l_im2_col_kernel_8cpp.xhtml#a624a24e6d361fe7b8b8b2f6b375683a4">kernel_name</a> = <span class="stringliteral">"gemm_mm_floating_point"</span>;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="comment">// Create kernel</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  _kernel = <a class="code" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8">GCKernelLibrary::get</a>().<a class="code" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a622a42cbd9eefe938d3bf87869f0b6be">create_kernel</a>(<a class="code" href="_c_l_im2_col_kernel_8cpp.xhtml#a624a24e6d361fe7b8b8b2f6b375683a4">kernel_name</a>, build_opts);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> }</div><div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank)</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="_error_8h_xhtml_a7cf8d8b669b8f7b05680230be30d60f4"><div class="ttname"><a href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(msg)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00352">Error.h:352</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#l00272">ToolchainSupport.h:272</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</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#l00455">Error.h:455</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a2355c2bf5d1950088937416baea24fe6"><div class="ttname"><a href="namespacearm__compute.xhtml#a2355c2bf5d1950088937416baea24fe6">arm_compute::get_arch_from_target</a></div><div class="ttdeci">GPUTarget get_arch_from_target(GPUTarget target)</div><div class="ttdoc">Helper function to get the GPU arch.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_g_p_u_target_8cpp_source.xhtml#l00189">GPUTarget.cpp:189</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a9cd394c15b73f79ca1d98f5328064be2"><div class="ttname"><a href="namespacearm__compute.xhtml#a9cd394c15b73f79ca1d98f5328064be2">arm_compute::float_to_string_with_full_precision</a></div><div class="ttdeci">std::string float_to_string_with_full_precision(float val)</div><div class="ttdoc">Create a string with the float in full precision.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01211">Utils.h:1211</a></div></div> |
| <div class="ttc" id="_c_l_im2_col_kernel_8cpp_xhtml_a624a24e6d361fe7b8b8b2f6b375683a4"><div class="ttname"><a href="_c_l_im2_col_kernel_8cpp.xhtml#a624a24e6d361fe7b8b8b2f6b375683a4">kernel_name</a></div><div class="ttdeci">std::string kernel_name</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00052">CLIm2ColKernel.cpp:52</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_a3161c2c93c655dd30953372064ec627b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">arm_compute::test::validation::alpha</a></div><div class="ttdeci">const float alpha</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">Accumulate.cpp:103</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_kernel_library_xhtml_a677e1b4dae70aaa7a18e9a8f1a4692e8"><div class="ttname"><a href="classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8">arm_compute::GCKernelLibrary::get</a></div><div class="ttdeci">static GCKernelLibrary & get()</div><div class="ttdoc">Get the static instance of GCKernelLibrary.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_kernel_library_8cpp_source.xhtml#l00334">GCKernelLibrary.cpp:334</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_a735ac6c2a02e320969625308810444f3"><div class="ttname"><a href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">arm_compute::GPUTarget</a></div><div class="ttdeci">GPUTarget</div><div class="ttdoc">Available GPU Targets.</div><div class="ttdef"><b>Definition:</b> <a href="_g_p_u_target_8h_source.xhtml#l00034">GPUTarget.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_kernel_library_xhtml_a622a42cbd9eefe938d3bf87869f0b6be"><div class="ttname"><a href="classarm__compute_1_1_g_c_kernel_library.xhtml#a622a42cbd9eefe938d3bf87869f0b6be">arm_compute::GCKernelLibrary::create_kernel</a></div><div class="ttdeci">GCKernel create_kernel(const std::string &shader_name, const StringSet &build_options_set={}) const</div><div class="ttdoc">Creates a kernel from the kernel library.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_kernel_library_8cpp_source.xhtml#l00367">GCKernelLibrary.cpp:367</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a735ac6c2a02e320969625308810444f3aa78cc0fd1cab24af0fad71dc4c256f8e"><div class="ttname"><a href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3aa78cc0fd1cab24af0fad71dc4c256f8e">arm_compute::GPUTarget::BIFROST</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_g_c_kernel_xhtml_aa550ff0352ff2388e02f7b0a41bf5fe7"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">arm_compute::IGCKernel::get_target</a></div><div class="ttdeci">GPUTarget get_target() const</div><div class="ttdoc">Get the targeted GPU architecture.</div><div class="ttdef"><b>Definition:</b> <a href="_i_g_c_kernel_8h_source.xhtml#l00122">IGCKernel.h:122</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">arm_compute::test::validation::alpha</a>, <a class="el" href="_error_8h_source.xhtml#l00352">ARM_COMPUTE_ERROR</a>, <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00455">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3aa78cc0fd1cab24af0fad71dc4c256f8e">arm_compute::BIFROST</a>, <a class="el" href="_g_c_kernel_library_8cpp_source.xhtml#l00367">GCKernelLibrary::create_kernel()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01211">arm_compute::float_to_string_with_full_precision()</a>, <a class="el" href="_g_c_kernel_library_8cpp_source.xhtml#l00334">GCKernelLibrary::get()</a>, <a class="el" href="src_2core_2_g_p_u_target_8cpp_source.xhtml#l00189">arm_compute::get_arch_from_target()</a>, <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00122">IGCKernel::get_target()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00052">kernel_name</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo::num_dimensions()</a>, and <a class="el" href="_toolchain_support_8h_source.xhtml#l00272">arm_compute::support::cpp11::to_string()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_g_c_g_e_m_m_8cpp_source.xhtml#l00081">GCGEMM::configure()</a>.</p> |
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| </div> |
| </div> |
| <a id="a0b0ecc60be6600a55aa46dffaa803ed9"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0b0ecc60be6600a55aa46dffaa803ed9">◆ </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_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> |
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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="a6cda598544253c29aec8f10ea78a8aed"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6cda598544253c29aec8f10ea78a8aed">◆ </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_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> |
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| </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> |
| <a id="a8fd12b95bdde3f93db96bc9b1598db69"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8fd12b95bdde3f93db96bc9b1598db69">◆ </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><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 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#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>). </td></tr> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2">IGCKernel</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml#l00303">303</a> of file <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml">GCGEMMMatrixMultiplyKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> {</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</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="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">IGCKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  _kernel.use();</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> </div><div class="line"><a name="l00310"></a><span class="lineno"> 310</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> = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a016fdd5b1c05ce7d06088891a0d36bff">first_slice_window_2D</a>();</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> slice_matrix_b = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  slice_matrix_b.<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, 1, 1));</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  slice_matrix_b.<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, 1, 1));</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">do</span></div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> slice_b = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="comment">// Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2</span></div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="comment">// This scenario can happen when the the matrix multiplication is used to perform a convolution operation</span></div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">if</span>(_input1-><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#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>() < 3)</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  {</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  slice_b = slice_matrix_b;</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  }</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0;</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>  <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">add_2D_tensor_argument</a>(idx, _input0, 1, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">add_2D_tensor_argument</a>(idx, _input1, 2, slice_b);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">add_2D_tensor_argument</a>(idx, _output, 3, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  _kernel.update_shader_params();</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="namespacearm__compute.xhtml#a6e51ab3789678d3e0b0b72178dd6c4c6">enqueue</a>(*<span class="keyword">this</span>, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">while</span>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#af72109ea9b9b75839d5601e39d8394de">slide_window_slice_2D</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>));</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</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#l00281">Window.h:281</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank)</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="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_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_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#l00321">Window.h:321</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| <div class="ttc" id="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#l00049">Window.inl:49</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_g_c_kernel_xhtml_a633d6a0cb573106e4d420b664cb29b66"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">arm_compute::IGCKernel::add_2D_tensor_argument</a></div><div class="ttdeci">void add_2D_tensor_argument(unsigned int &idx, const IGCTensor *tensor, const unsigned int binding_point, 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_g_c_kernel_8cpp_source.xhtml#l00127">IGCKernel.cpp:127</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="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</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#l00941">Validate.h:941</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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00127">IGCKernel::add_2D_tensor_argument()</a>, <a class="el" href="_validate_8h_source.xhtml#l00205">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>, <a class="el" href="_validate_8h_source.xhtml#l00941">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</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="_i_c_l_kernel_8cpp_source.xhtml#l00039">arm_compute::enqueue()</a>, <a class="el" href="_window_8h_source.xhtml#l00281">Window::first_slice_window_2D()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo::num_dimensions()</a>, <a class="el" href="_window_8inl_source.xhtml#l00049">Window::set()</a>, <a class="el" href="_slice_operations_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::slice()</a>, <a class="el" href="_window_8h_source.xhtml#l00321">Window::slide_window_slice_2D()</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a6902b8a897391fd3c0f186bef31f4d20"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6902b8a897391fd3c0f186bef31f4d20">◆ </a></span>validate()</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_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>input0</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>input1</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">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>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml">GEMMReshapeInfo</a> & </td> |
| <td class="paramname"><em>reshape_info</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> </td> |
| <td class="paramname"><em>gpu_target</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
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| <td class="mlabels-right"> |
| <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_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a>. </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 Matrix A. Data types supported: F16/F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input1</td><td>Input tensor containing the Matrix B. Data type supported: same as <code>input0</code> </td></tr> |
| <tr><td class="paramdir">[in]</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>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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">reshape_info</td><td>GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">gpu_target</td><td>GPU Target</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="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml#l00286">286</a> of file <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml">GCGEMMMatrixMultiplyKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  ElementsProcessed num_elements_processed{};</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(input0, input1, output, is_interleaved_transposed, reshape_info));</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_and_configure_window(input0-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(),</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  input1-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(),</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  output-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(),</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  is_interleaved_transposed,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  reshape_info,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  gpu_target,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  num_elements_processed)</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  .first);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</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#l00204">Error.h:204</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="_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#l00152">Error.h:152</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_a3161c2c93c655dd30953372064ec627b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">arm_compute::test::validation::alpha</a></div><div class="ttdeci">const float alpha</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">Accumulate.cpp:103</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">arm_compute::test::validation::alpha</a>, <a class="el" href="_error_8h_source.xhtml#l00204">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable< T >::clone()</a>.</p> |
| |
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| </div> |
| <hr/>The documentation for this class was generated from the following files:<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> |
| <li>src/core/GLES_COMPUTE/kernels/<a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml">GCGEMMMatrixMultiplyKernel.cpp</a></li> |
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