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| <title>Compute Library: GCPoolingLayerKernel Class Reference</title> |
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| <a href="#pub-methods">Public Member Functions</a> | |
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| <div class="title">GCPoolingLayerKernel Class Reference</div> </div> |
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| |
| <p>Interface for the pooling layer kernel. |
| <a href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_g_c_pooling_layer_kernel_8h_source.xhtml">GCPoolingLayerKernel.h</a>></code></p> |
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| Collaboration diagram for GCPoolingLayerKernel:</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:aebe262e2f3820f872a1393b751a72a27"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#aebe262e2f3820f872a1393b751a72a27">GCPoolingLayerKernel</a> ()</td></tr> |
| <tr class="memdesc:aebe262e2f3820f872a1393b751a72a27"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#aebe262e2f3820f872a1393b751a72a27">More...</a><br /></td></tr> |
| <tr class="separator:aebe262e2f3820f872a1393b751a72a27"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3deb7701de7f4e1e509bb31c84a3f1bc"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a3deb7701de7f4e1e509bb31c84a3f1bc">GCPoolingLayerKernel</a> (const <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a3deb7701de7f4e1e509bb31c84a3f1bc"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a3deb7701de7f4e1e509bb31c84a3f1bc">More...</a><br /></td></tr> |
| <tr class="separator:a3deb7701de7f4e1e509bb31c84a3f1bc"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a17195b1300a741bd454e3ff93781a0be"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a17195b1300a741bd454e3ff93781a0be">operator=</a> (const <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a17195b1300a741bd454e3ff93781a0be"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a17195b1300a741bd454e3ff93781a0be">More...</a><br /></td></tr> |
| <tr class="separator:a17195b1300a741bd454e3ff93781a0be"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad17dc3fd445e58dcc3af66ba5de54d3f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad17dc3fd445e58dcc3af66ba5de54d3f">GCPoolingLayerKernel</a> (<a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:ad17dc3fd445e58dcc3af66ba5de54d3f"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#ad17dc3fd445e58dcc3af66ba5de54d3f">More...</a><br /></td></tr> |
| <tr class="separator:ad17dc3fd445e58dcc3af66ba5de54d3f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4526a56a55cab0233391eca62d7735b2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a4526a56a55cab0233391eca62d7735b2">operator=</a> (<a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a4526a56a55cab0233391eca62d7735b2"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a4526a56a55cab0233391eca62d7735b2">More...</a><br /></td></tr> |
| <tr class="separator:a4526a56a55cab0233391eca62d7735b2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae0374cc4c71a8fa45916ac0081306eaa"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ae0374cc4c71a8fa45916ac0081306eaa">~GCPoolingLayerKernel</a> ()=default</td></tr> |
| <tr class="memdesc:ae0374cc4c71a8fa45916ac0081306eaa"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="#ae0374cc4c71a8fa45916ac0081306eaa">More...</a><br /></td></tr> |
| <tr class="separator:ae0374cc4c71a8fa45916ac0081306eaa"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad55c5127caaf1bfa070bf696912c2605"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad55c5127caaf1bfa070bf696912c2605">configure</a> (const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *output, const <a class="el" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &pool_info)</td></tr> |
| <tr class="memdesc:ad55c5127caaf1bfa070bf696912c2605"><td class="mdescLeft"> </td><td class="mdescRight">Set the input and output tensors. <a href="#ad55c5127caaf1bfa070bf696912c2605">More...</a><br /></td></tr> |
| <tr class="separator:ad55c5127caaf1bfa070bf696912c2605"><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_pooling_layer_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="memitem:a423f9a45a52983b4de5e2b347f4369c7"><td class="memItemLeft" align="right" valign="top"><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_g_c_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a> () const override</td></tr> |
| <tr class="memdesc:a423f9a45a52983b4de5e2b347f4369c7"><td class="mdescLeft"> </td><td class="mdescRight">The size of the border for that kernel. <a href="#a423f9a45a52983b4de5e2b347f4369c7">More...</a><br /></td></tr> |
| <tr class="separator:a423f9a45a52983b4de5e2b347f4369c7"><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: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:ad9271771801540c842010e7fde5f457c"><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_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, const <a class="el" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &pool_info)</td></tr> |
| <tr class="memdesc:ad9271771801540c842010e7fde5f457c"><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_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a>. <a href="#ad9271771801540c842010e7fde5f457c">More...</a><br /></td></tr> |
| <tr class="separator:ad9271771801540c842010e7fde5f457c"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Interface for the pooling layer kernel. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_pooling_layer_kernel_8h_source.xhtml#l00036">36</a> of file <a class="el" href="_g_c_pooling_layer_kernel_8h_source.xhtml">GCPoolingLayerKernel.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="aebe262e2f3820f872a1393b751a72a27"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aebe262e2f3820f872a1393b751a72a27">◆ </a></span>GCPoolingLayerKernel() <span class="overload">[1/3]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</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_pooling_layer_kernel_8cpp_source.xhtml#l00216">216</a> of file <a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml">GCPoolingLayerKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  : _input(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>), _pool_info(), _border_size(0), _num_elems_processed_per_iteration(1)</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> {</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a3deb7701de7f4e1e509bb31c84a3f1bc"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a3deb7701de7f4e1e509bb31c84a3f1bc">◆ </a></span>GCPoolingLayerKernel() <span class="overload">[2/3]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</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="ad17dc3fd445e58dcc3af66ba5de54d3f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad17dc3fd445e58dcc3af66ba5de54d3f">◆ </a></span>GCPoolingLayerKernel() <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_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Allow instances of this class to be moved. </p> |
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| </div> |
| </div> |
| <a id="ae0374cc4c71a8fa45916ac0081306eaa"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae0374cc4c71a8fa45916ac0081306eaa">◆ </a></span>~GCPoolingLayerKernel()</h2> |
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| <div class="memitem"> |
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| <td class="mlabels-left"> |
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| <td class="memname">~<a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default destructor. </p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a423f9a45a52983b4de5e2b347f4369c7"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a423f9a45a52983b4de5e2b347f4369c7">◆ </a></span>border_size()</h2> |
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| <div class="memitem"> |
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| <td class="mlabels-left"> |
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| <td class="memname"><a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>The size of the border for that kernel. </p> |
| <dl class="section return"><dt>Returns</dt><dd>The width in number of elements of the border. </dd></dl> |
| |
| <p>Reimplemented from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">IKernel</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml#l00221">221</a> of file <a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml">GCPoolingLayerKernel.cpp</a>.</p> |
| <div class="fragment"><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>  <span class="keywordflow">return</span> _border_size;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="ad55c5127caaf1bfa070bf696912c2605"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad55c5127caaf1bfa070bf696912c2605">◆ </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>input</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">const <a class="el" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> & </td> |
| <td class="paramname"><em>pool_info</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Set the input and output tensors. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. Data types supported: F16/F32. </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data types supported: Same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">pool_info</td><td>Contains pooling operation information described in <a class="el" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a>. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml#l00226">226</a> of file <a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml">GCPoolingLayerKernel.cpp</a>.</p> |
| <div class="fragment"><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="keywordtype">int</span> pool_pad_x = 0;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordtype">int</span> pool_pad_y = 0;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordtype">int</span> pool_stride_x = 0;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordtype">int</span> pool_stride_y = 0;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> pooled_w = 0;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> pooled_h = 0;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93">PoolingType</a> pool_type = pool_info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a0937a25aa5674160de423a38014781b7">pool_type</a>();</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordtype">int</span> pool_size = pool_info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a9e9048b8199d75905ce5102c21f6c424">pool_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> pad_stride_info = pool_info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#aec44a113cf93317f52355cbdea990966">pad_stride_info</a>();</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> exclude_padding = pool_info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a2a5bf4ca18389e1f61f5fac9044a2c85">exclude_padding</a>();</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  std::tie(pool_pad_x, pool_pad_y) = pad_stride_info.<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ae33ab50602da54038611e30d5013c040">pad</a>();</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a6e324c1bd1111876469ea247da156147">stride</a>();</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>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input, output);</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>  <span class="comment">// Update pool size in case of global pooling</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  pool_size = pool_info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a00bcea78a50c94ef3dc2a280b9ed8a7a">is_global_pooling</a>() ? input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0) : pool_size;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// Check output dimensions</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  std::tie(pooled_w, pooled_h) = <a class="code" href="namespacearm__compute.xhtml#abbe3399a66c35c3c353030cd0a84c936">scaled_dimensions</a>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0),</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1),</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  pool_size,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  pool_size,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  pad_stride_info);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  auto_init(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), pooled_w, pooled_h);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), pool_info));</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">// Set instance variables</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  _input = input;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  _output = output;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  _pool_info = pool_info;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// Set build options</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  std::set<std::string> build_opts;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</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="l00265"></a><span class="lineno"> 265</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="l00266"></a><span class="lineno"> 266</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="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">if</span>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)</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>  build_opts.insert(<span class="stringliteral">"#define DATA_TYPE_FP32"</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">else</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  build_opts.insert(<span class="stringliteral">"#define DATA_TYPE_FP16"</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>  <span class="keywordflow">if</span>(exclude_padding)</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  build_opts.emplace(<span class="stringliteral">"#define EXCLUDE_PADDING"</span>);</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>  build_opts.emplace((<span class="stringliteral">"#define POOL_"</span> + <a class="code" href="namespacearm__compute.xhtml#a1040394085749e4d02a0d4350493ec94">string_from_pooling_type</a>(pool_type)));</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  build_opts.emplace((<span class="stringliteral">"#define STRIDE_X "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(pool_stride_x)));</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  build_opts.emplace((<span class="stringliteral">"#define MAX_WIDTH "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0) + (exclude_padding ? 0 : pool_pad_x))));</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  build_opts.emplace((<span class="stringliteral">"#define MAX_HEIGHT "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1) + (exclude_padding ? 0 : pool_pad_y))));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  build_opts.emplace((<span class="stringliteral">"#define STRIDE_Y "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(pool_stride_y)));</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  build_opts.emplace((<span class="stringliteral">"#define PAD_X "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(pool_pad_x)));</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  build_opts.emplace((<span class="stringliteral">"#define PAD_Y "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(pool_pad_y)));</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="comment">// Create kernel</span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">if</span>((pool_size == 2) || (pool_size == 3) || (pool_size == 7))</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="comment">// Check if we have pool3x3 with stride_x less equal than 3. In these cases, run an optimized OpenGLES kernel where</span></div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="comment">// each thread computes 4 output elements</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_pool3x3_stride_le3 = (pool_size == 3) && (pool_stride_x <= 3);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  std::string kernel_name = <span class="stringliteral">"pooling_layer_"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(pool_size);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">if</span>(is_pool3x3_stride_le3)</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  {</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  build_opts.insert(<span class="stringliteral">"#define POOLING_LAYER_3_OPTIMIZED"</span>);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  _kernel = static_cast<GCKernel>(<a class="code" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8">GCKernelLibrary::get</a>().<a class="code" href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">create_kernel</a>(kernel_name + <span class="stringliteral">"_optimized"</span>, build_opts));</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  {</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  build_opts.insert(<span class="stringliteral">"#define POOLING_LAYER_"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(pool_size));</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  _kernel = static_cast<GCKernel>(<a class="code" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8">GCKernelLibrary::get</a>().<a class="code" href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">create_kernel</a>(kernel_name, build_opts));</div><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>  }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">else</span> <span class="comment">// Run general case</span></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>  build_opts.emplace((<span class="stringliteral">"#define POOL_SIZE "</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(pool_size)));</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>  build_opts.insert(<span class="stringliteral">"#define POOLING_LAYER_N"</span>);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  _kernel = static_cast<GCKernel>(<a class="code" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8">GCKernelLibrary::get</a>().<a class="code" href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">create_kernel</a>(<span class="stringliteral">"pooling_layer_n"</span>, build_opts));</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>  <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">auto</span> win_config = <a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), pool_info);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(std::get<0>(win_config));</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  IGCKernel::configure(std::get<1>(win_config));</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  GCPoolingConfig pooling_config = std::get<2>(win_config);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  _num_elems_processed_per_iteration = pooling_config.first;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  _border_size = pooling_config.second;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> }</div><div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a2a5bf4ca18389e1f61f5fac9044a2c85"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a2a5bf4ca18389e1f61f5fac9044a2c85">arm_compute::PoolingLayerInfo::exclude_padding</a></div><div class="ttdeci">bool exclude_padding() const</div><div class="ttdoc">Check if padding is excluded in calculations.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01257">Types.h:1257</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_abbe3399a66c35c3c353030cd0a84c936"><div class="ttname"><a href="namespacearm__compute.xhtml#abbe3399a66c35c3c353030cd0a84c936">arm_compute::scaled_dimensions</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > scaled_dimensions(unsigned int width, unsigned int height, unsigned int kernel_width, unsigned int kernel_height, const PadStrideInfo &pad_stride_info, const Size2D &dilation=Size2D(1U, 1U))</div><div class="ttdoc">Returns expected width and height of output scaled tensor depending on dimensions rounding mode.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00387">Utils.cpp:387</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad6630777dc2d315531f1e0b02491051f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">arm_compute::validate_and_configure_window</a></div><div class="ttdeci">std::pair< Status, Window > validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const Size2D &dilation)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">NEDepthwiseConvolutionLayerNativeKernel.cpp:221</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_acc5dddee1cbe93a4eaf0a9f74ee96bb7"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">arm_compute::support::cpp11::to_string</a></div><div class="ttdeci">std::string to_string(T &&value)</div><div class="ttdoc">Convert integer and float values to string.</div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00242">ToolchainSupport.h:242</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor.</div></div> |
| <div class="ttc" id="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#l00327">Error.h:327</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a6e324c1bd1111876469ea247da156147"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a6e324c1bd1111876469ea247da156147">arm_compute::PadStrideInfo::stride</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > stride() const</div><div class="ttdoc">Get the stride.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00724">Types.h:724</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_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00676">Types.h:676</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_abc72c95941485d8a068fa38372308574"><div class="ttname"><a href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">arm_compute::create_kernel</a></div><div class="ttdeci">std::unique_ptr< Kernel > create_kernel()</div><div class="ttdoc">Helper function to create and return a unique_ptr pointed to a CL/GLES kernel object.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00086">Helpers.h:86</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_aec44a113cf93317f52355cbdea990966"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#aec44a113cf93317f52355cbdea990966">arm_compute::PoolingLayerInfo::pad_stride_info</a></div><div class="ttdeci">PadStrideInfo pad_stride_info() const</div><div class="ttdoc">Get the padding and stride.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01252">Types.h:1252</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a9e9048b8199d75905ce5102c21f6c424"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a9e9048b8199d75905ce5102c21f6c424">arm_compute::PoolingLayerInfo::pool_size</a></div><div class="ttdeci">const Size2D & pool_size() const</div><div class="ttdoc">Get the pooling size.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01247">Types.h:1247</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="namespacearm__compute_xhtml_a9172da722f0a434e5cc07c0a3c115d93"><div class="ttname"><a href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93">arm_compute::PoolingType</a></div><div class="ttdeci">PoolingType</div><div class="ttdoc">Available pooling types.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00564">Types.h:564</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="classarm__compute_1_1_size2_d_xhtml_a02bed8590a9ddf520e58a060059518ec"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">arm_compute::Size2D::width</a></div><div class="ttdeci">size_t width</div><div class="ttdoc">Width of the image region or rectangle.</div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00092">Size2D.h:92</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a0937a25aa5674160de423a38014781b7"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a0937a25aa5674160de423a38014781b7">arm_compute::PoolingLayerInfo::pool_type</a></div><div class="ttdeci">PoolingType pool_type() const</div><div class="ttdoc">Get the pooling type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01242">Types.h:1242</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_ae33ab50602da54038611e30d5013c040"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#ae33ab50602da54038611e30d5013c040">arm_compute::PadStrideInfo::pad</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > pad() const</div><div class="ttdoc">Get the padding.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00742">Types.h:742</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a1040394085749e4d02a0d4350493ec94"><div class="ttname"><a href="namespacearm__compute.xhtml#a1040394085749e4d02a0d4350493ec94">arm_compute::string_from_pooling_type</a></div><div class="ttdeci">const std::string & string_from_pooling_type(PoolingType type)</div><div class="ttdoc">Translates a given pooling type to a string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00252">Utils.cpp:252</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a00bcea78a50c94ef3dc2a280b9ed8a7a"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a00bcea78a50c94ef3dc2a280b9ed8a7a">arm_compute::PoolingLayerInfo::is_global_pooling</a></div><div class="ttdeci">bool is_global_pooling() const</div><div class="ttdoc">Check if is global pooling.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01262">Types.h:1262</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00327">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml#l00086">arm_compute::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="arm__compute_2core_2_types_8h_source.xhtml#l01257">PoolingLayerInfo::exclude_padding()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="_g_c_kernel_library_8cpp_source.xhtml#l00334">GCKernelLibrary::get()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01262">PoolingLayerInfo::is_global_pooling()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00742">PadStrideInfo::pad()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01252">PoolingLayerInfo::pad_stride_info()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01247">PoolingLayerInfo::pool_size()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01242">PoolingLayerInfo::pool_type()</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00387">arm_compute::scaled_dimensions()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00724">PadStrideInfo::stride()</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00252">arm_compute::string_from_pooling_type()</a>, <a class="el" href="_toolchain_support_8h_source.xhtml#l00242">arm_compute::support::cpp11::to_string()</a>, <a class="el" href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">arm_compute::validate_and_configure_window()</a>, and <a class="el" href="_size2_d_8h_source.xhtml#l00092">Size2D::width</a>.</p> |
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| <a id="a17195b1300a741bd454e3ff93781a0be"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a17195b1300a741bd454e3ff93781a0be">◆ </a></span>operator=() <span class="overload">[1/2]</span></h2> |
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| <td class="mlabels-left"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</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">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="a4526a56a55cab0233391eca62d7735b2"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a4526a56a55cab0233391eca62d7735b2">◆ </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_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
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| </td> |
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| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
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| <p>Allow instances of this class to be moved. </p> |
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| <a id="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> |
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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_pooling_layer_kernel_8cpp_source.xhtml#l00331">331</a> of file <a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml">GCPoolingLayerKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> {</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</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="l00334"></a><span class="lineno"> 334</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">IKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> pool_pad_x;</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> pool_pad_y;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> pool_stride_x;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> pool_stride_y;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  std::tie(pool_pad_x, pool_pad_y) = _pool_info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#aec44a113cf93317f52355cbdea990966">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ae33ab50602da54038611e30d5013c040">pad</a>();</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  std::tie(pool_stride_x, pool_stride_y) = _pool_info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#aec44a113cf93317f52355cbdea990966">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a6e324c1bd1111876469ea247da156147">stride</a>();</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  _kernel.use();</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  _output-><a class="code" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a69cfba8177b402abe134fdad5fe4c7dc">set_needs_shifting</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window_collapsed = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">collapse_if_possible</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">IGCKernel::window</a>(), <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div><div class="line"><a name="l00349"></a><span class="lineno"> 349</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> = window_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> slice_in_orig = window_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>.shift(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, -(_output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">padding</a>()).left);</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">do</span></div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="comment">// Upsample input by pool size</span></div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> in_slice(slice_in_orig); <span class="comment">// NOLINT</span></div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  in_slice.set(<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>(in_slice.x().start() - pool_pad_x, in_slice.x().end() * pool_stride_x, pool_stride_x * _num_elems_processed_per_iteration));</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  in_slice.set(<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>(in_slice.y().start() - pool_pad_y, in_slice.y().end() * pool_stride_y, pool_stride_y));</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">// Set inputs</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">add_3D_tensor_argument</a>(idx, _input, 1, in_slice);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">add_3D_tensor_argument</a>(idx, _output, 2, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  _kernel.update_shader_params();</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</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="l00368"></a><span class="lineno"> 368</span>  }</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">while</span>(window_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>) && window_collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(slice_in_orig));</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> }</div><div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_g_c_kernel_xhtml_aa9ed9d806fc3364df21027387b9e735a"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">arm_compute::IGCKernel::add_3D_tensor_argument</a></div><div class="ttdeci">void add_3D_tensor_argument(unsigned int &idx, const IGCTensor *tensor, const unsigned int binding_point, const Window &window)</div><div class="ttdoc">Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx.</div><div class="ttdef"><b>Definition:</b> <a href="_i_g_c_kernel_8cpp_source.xhtml#l00132">IGCKernel.cpp:132</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_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_window_xhtml_a663ce71e1992366180fcb85b0a874e2f"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">arm_compute::Window::collapse_if_possible</a></div><div class="ttdeci">Window collapse_if_possible(const Window &full_window, size_t first, size_t last, bool *has_collapsed=nullptr) const</div><div class="ttdoc">Collapse the dimensions between first and last if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00054">Window.inl:54</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_g_c_tensor_xhtml_a69cfba8177b402abe134fdad5fe4c7dc"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_tensor.xhtml#a69cfba8177b402abe134fdad5fe4c7dc">arm_compute::IGCTensor::set_needs_shifting</a></div><div class="ttdeci">void set_needs_shifting(bool needs_shifting)</div><div class="ttdoc">Set the flag indicating whether or not a tensor needs shifting.</div><div class="ttdef"><b>Definition:</b> <a href="_i_g_c_tensor_8cpp_source.xhtml#l00061">IGCTensor.cpp:61</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a6e324c1bd1111876469ea247da156147"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a6e324c1bd1111876469ea247da156147">arm_compute::PadStrideInfo::stride</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > stride() const</div><div class="ttdoc">Get the stride.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00724">Types.h:724</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_i_tensor_info_xhtml_a07b929c34ad1dc823d8315876aa403ce"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">arm_compute::ITensorInfo::padding</a></div><div class="ttdeci">virtual PaddingSize padding() const =0</div><div class="ttdoc">Padding of tensor.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_aac792e3a11bc73bafafc4f4284c7f215"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">arm_compute::Window::slide_window_slice_3D</a></div><div class="ttdeci">bool slide_window_slice_3D(Window &slice) const</div><div class="ttdoc">Slide the passed 3D window slice.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00319">Window.h:319</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_aec44a113cf93317f52355cbdea990966"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#aec44a113cf93317f52355cbdea990966">arm_compute::PoolingLayerInfo::pad_stride_info</a></div><div class="ttdeci">PadStrideInfo pad_stride_info() const</div><div class="ttdoc">Get the padding and stride.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01252">Types.h:1252</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_a893d17b56b9abc4423ce26e9a24ac5dc"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a></div><div class="ttdeci">static constexpr size_t DimZ</div><div class="ttdoc">Alias for dimension 2 also known as Z dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00047">Window.h:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_ae33ab50602da54038611e30d5013c040"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#ae33ab50602da54038611e30d5013c040">arm_compute::PadStrideInfo::pad</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > pad() const</div><div class="ttdoc">Get the padding.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00742">Types.h:742</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_a30ca5bdbb60ee281d7f1ab34f7a4ee40"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">arm_compute::Window::first_slice_window_3D</a></div><div class="ttdeci">Window first_slice_window_3D() const</div><div class="ttdoc">First 3D slice of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00275">Window.h:275</a></div></div> |
| <div class="ttc" id="_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#l00940">Validate.h:940</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a548131b3d37da47a2e9d32111c88dfe1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">arm_compute::test::validation::reference::slice</a></div><div class="ttdeci">SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)</div><div class="ttdef"><b>Definition:</b> <a href="_slice_operations_8cpp_source.xhtml#l00038">SliceOperations.cpp:38</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00132">IGCKernel::add_3D_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#l00940">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_window_8inl_source.xhtml#l00054">Window::collapse_if_possible()</a>, <a class="el" href="_window_8h_source.xhtml#l00043">Window::DimX</a>, <a class="el" href="_window_8h_source.xhtml#l00045">Window::DimY</a>, <a class="el" href="_window_8h_source.xhtml#l00047">Window::DimZ</a>, <a class="el" href="_window_8h_source.xhtml#l00097">Window::Dimension::end()</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#l00275">Window::first_slice_window_3D()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00742">PadStrideInfo::pad()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01252">PoolingLayerInfo::pad_stride_info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">ITensorInfo::padding()</a>, <a class="el" href="_window_8inl_source.xhtml#l00048">Window::set()</a>, <a class="el" href="_i_g_c_tensor_8cpp_source.xhtml#l00061">IGCTensor::set_needs_shifting()</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#l00319">Window::slide_window_slice_3D()</a>, <a class="el" href="_window_8h_source.xhtml#l00092">Window::Dimension::start()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00724">PadStrideInfo::stride()</a>, <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>, <a class="el" href="_window_8h_source.xhtml#l00143">Window::x()</a>, and <a class="el" href="_window_8h_source.xhtml#l00152">Window::y()</a>.</p> |
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| <a id="ad9271771801540c842010e7fde5f457c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad9271771801540c842010e7fde5f457c">◆ </a></span>validate()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> & </td> |
| <td class="paramname"><em>pool_info</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
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| <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml">GCPoolingLayerKernel</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor info. Data types supported: F16/F32. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor info. Data types supported: Same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">pool_info</td><td>Contains pooling operation information described in <a class="el" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a>.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml#l00323">323</a> of file <a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml">GCPoolingLayerKernel.cpp</a>.</p> |
| <div class="fragment"><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>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(input, output, pool_info));</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(std::get<0>(<a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(input-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), output-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), pool_info)));</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ad6630777dc2d315531f1e0b02491051f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">arm_compute::validate_and_configure_window</a></div><div class="ttdeci">std::pair< Status, Window > validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const Size2D &dilation)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">NEDepthwiseConvolutionLayerNativeKernel.cpp:221</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00193">Error.h:193</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
| <div class="ttc" id="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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00193">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable< T >::clone()</a>, and <a class="el" href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">arm_compute::validate_and_configure_window()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_g_c_pooling_layer_8cpp_source.xhtml#l00053">GCPoolingLayer::validate()</a>.</p> |
| |
| </div> |
| </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_pooling_layer_kernel_8h_source.xhtml">GCPoolingLayerKernel.h</a></li> |
| <li>src/core/GLES_COMPUTE/kernels/<a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml">GCPoolingLayerKernel.cpp</a></li> |
| </ul> |
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| <li class="footer">Generated on Mon Sep 2 2019 11:47:35 for Compute Library by |
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| <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.15 </li> |
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