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| <div class="title">IGCKernel Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div> |
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| |
| <p>Common interface for all the GLES kernels. |
| <a href="classarm__compute_1_1_i_g_c_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for IGCKernel:</div> |
| <div class="dyncontent"> |
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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:abd51b7f007e5846ae05efdaca32e876c"><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"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#abd51b7f007e5846ae05efdaca32e876c">More...</a><br /></td></tr> |
| <tr class="separator:abd51b7f007e5846ae05efdaca32e876c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3b8f9d088e013cfbb039fd0ebbe42589"><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"><td class="mdescLeft"> </td><td class="mdescRight">Returns a reference to the GLES kernel of this object. <a href="#a3b8f9d088e013cfbb039fd0ebbe42589">More...</a><br /></td></tr> |
| <tr class="separator:a3b8f9d088e013cfbb039fd0ebbe42589"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae7a1e979b3442bd2f7732b5f51d5dded"><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"><td class="mdescLeft"> </td><td class="mdescRight">Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx. <a href="#ae7a1e979b3442bd2f7732b5f51d5dded">More...</a><br /></td></tr> |
| <tr class="separator:ae7a1e979b3442bd2f7732b5f51d5dded"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a633d6a0cb573106e4d420b664cb29b66"><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"><td class="mdescLeft"> </td><td class="mdescRight">Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx. <a href="#a633d6a0cb573106e4d420b664cb29b66">More...</a><br /></td></tr> |
| <tr class="separator:a633d6a0cb573106e4d420b664cb29b66"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa9ed9d806fc3364df21027387b9e735a"><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"><td class="mdescLeft"> </td><td class="mdescRight">Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx. <a href="#aa9ed9d806fc3364df21027387b9e735a">More...</a><br /></td></tr> |
| <tr class="separator:aa9ed9d806fc3364df21027387b9e735a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a24938aee389d915b1cc481f11346b2f6"><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"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of arguments enqueued per 1D tensor object. <a href="#a24938aee389d915b1cc481f11346b2f6">More...</a><br /></td></tr> |
| <tr class="separator:a24938aee389d915b1cc481f11346b2f6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1cdff9e90a54e4ea673d10b2dcd7ec9f"><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"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of arguments enqueued per 2D tensor object. <a href="#a1cdff9e90a54e4ea673d10b2dcd7ec9f">More...</a><br /></td></tr> |
| <tr class="separator:a1cdff9e90a54e4ea673d10b2dcd7ec9f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abb64cdefb07e7d0e4dc5722015cccc35"><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"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of arguments enqueued per 3D tensor object. <a href="#abb64cdefb07e7d0e4dc5722015cccc35">More...</a><br /></td></tr> |
| <tr class="separator:abb64cdefb07e7d0e4dc5722015cccc35"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6f56c8bb44166634652b877d6eb7a9a2"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2">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>)=0</td></tr> |
| <tr class="memdesc:a6f56c8bb44166634652b877d6eb7a9a2"><td class="mdescLeft"> </td><td class="mdescRight">Enqueue the OpenGL ES shader to process the given window. <a href="#a6f56c8bb44166634652b877d6eb7a9a2">More...</a><br /></td></tr> |
| <tr class="separator:a6f56c8bb44166634652b877d6eb7a9a2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3c6173aecfebc9030bf8a0bee0c0ced8"><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"><td class="mdescLeft"> </td><td class="mdescRight">Set the Local-Workgroup-Size hint. <a href="#a3c6173aecfebc9030bf8a0bee0c0ced8">More...</a><br /></td></tr> |
| <tr class="separator:a3c6173aecfebc9030bf8a0bee0c0ced8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad5ba9d34a3a855bf1dd2e36316ff550a"><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"><td class="mdescLeft"> </td><td class="mdescRight">Set the targeted GPU architecture. <a href="#ad5ba9d34a3a855bf1dd2e36316ff550a">More...</a><br /></td></tr> |
| <tr class="separator:ad5ba9d34a3a855bf1dd2e36316ff550a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa550ff0352ff2388e02f7b0a41bf5fe7"><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"><td class="mdescLeft"> </td><td class="mdescRight">Get the targeted GPU architecture. <a href="#aa550ff0352ff2388e02f7b0a41bf5fe7">More...</a><br /></td></tr> |
| <tr class="separator:aa550ff0352ff2388e02f7b0a41bf5fe7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr> |
| <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr> |
| <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr> |
| <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr> |
| <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr> |
| <tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr> |
| <tr class="separator:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">border_size</a> () const</td></tr> |
| <tr class="memdesc:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The size of the border for that kernel. <a href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">More...</a><br /></td></tr> |
| <tr class="separator:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr> |
| <tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr> |
| <tr class="separator:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Common interface for all the GLES kernels. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00039">39</a> of file <a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="abd51b7f007e5846ae05efdaca32e876c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#abd51b7f007e5846ae05efdaca32e876c">◆ </a></span>IGCKernel()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml">IGCKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Constructor. </p> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00064">64</a> of file <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml">IGCKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  : _kernel(), _lws_hint(<a class="code" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml">gles::NDRange</a>(1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>)), _target(<a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38">GPUTarget::MIDGARD</a>)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38"><div class="ttname"><a href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38">arm_compute::GPUTarget::MIDGARD</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1gles_1_1_n_d_range_xhtml"><div class="ttname"><a href="classarm__compute_1_1gles_1_1_n_d_range.xhtml">arm_compute::gles::NDRange</a></div><div class="ttdoc">Class interface for specifying NDRange values.</div><div class="ttdef"><b>Definition:</b> <a href="_open_g_l_e_s_8h_source.xhtml#l00053">OpenGLES.h:53</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38">arm_compute::MIDGARD</a>.</p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="ae7a1e979b3442bd2f7732b5f51d5dded"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae7a1e979b3442bd2f7732b5f51d5dded">◆ </a></span>add_1D_tensor_argument()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void add_1D_tensor_argument </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int & </td> |
| <td class="paramname"><em>idx</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>tensor</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const unsigned int </td> |
| <td class="paramname"><em>binding_point</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
| <td class="paramname"><em>window</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments.Input and output tensor will have sperated index, multiple indices start from 1, single index have to be set to 0. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> to set as an argument of the object's kernel. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">binding_point</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a>'s binding point in this kernel. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window.">Window</a> the kernel will be executed on. </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00122">122</a> of file <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml">IGCKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  add_tensor_argument<1>(idx, tensor, binding_point, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_g_c_g_e_m_m_matrix_accumulate_biases_kernel_8cpp_source.xhtml#l00103">GCGEMMMatrixAccumulateBiasesKernel::run()</a>, <a class="el" href="_g_c_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml#l00205">GCDepthwiseConvolutionLayer3x3Kernel::run()</a>, <a class="el" href="_g_c_normalize_planar_y_u_v_layer_kernel_8cpp_source.xhtml#l00132">GCNormalizePlanarYUVLayerKernel::run()</a>, <a class="el" href="_g_c_weights_reshape_kernel_8cpp_source.xhtml#l00101">GCWeightsReshapeKernel::run()</a>, and <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml#l00205">GCBatchNormalizationLayerKernel::run()</a>.</p> |
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| </div> |
| </div> |
| <a id="a633d6a0cb573106e4d420b664cb29b66"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a633d6a0cb573106e4d420b664cb29b66">◆ </a></span>add_2D_tensor_argument()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void add_2D_tensor_argument </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int & </td> |
| <td class="paramname"><em>idx</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>tensor</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const unsigned int </td> |
| <td class="paramname"><em>binding_point</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
| <td class="paramname"><em>window</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments.Input and output tensor will have sperated index, multiple indices start from 1, single index have to be set to 0. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> to set as an argument of the object's kernel. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">binding_point</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a>'s binding point in this kernel. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window.">Window</a> the kernel will be executed on. </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00127">127</a> of file <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml">IGCKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  add_tensor_argument<2>(idx, tensor, binding_point, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_i_g_c_simple2_d_kernel_8cpp_source.xhtml#l00033">IGCSimple2DKernel::run()</a>, <a class="el" href="_g_c_transpose_kernel_8cpp_source.xhtml#l00123">GCTransposeKernel::run()</a>, <a class="el" href="_g_c_g_e_m_m_matrix_accumulate_biases_kernel_8cpp_source.xhtml#l00103">GCGEMMMatrixAccumulateBiasesKernel::run()</a>, <a class="el" href="_g_c_g_e_m_m_matrix_addition_kernel_8cpp_source.xhtml#l00080">GCGEMMMatrixAdditionKernel::run()</a>, <a class="el" href="_g_c_absolute_difference_kernel_8cpp_source.xhtml#l00086">GCAbsoluteDifferenceKernel::run()</a>, <a class="el" href="_g_c_g_e_m_m_transpose1x_w_kernel_8cpp_source.xhtml#l00098">GCGEMMTranspose1xWKernel::run()</a>, <a class="el" href="_g_c_g_e_m_m_interleave4x4_kernel_8cpp_source.xhtml#l00090">GCGEMMInterleave4x4Kernel::run()</a>, <a class="el" href="_g_c_weights_reshape_kernel_8cpp_source.xhtml#l00101">GCWeightsReshapeKernel::run()</a>, <a class="el" href="_g_c_col2_im_kernel_8cpp_source.xhtml#l00097">GCCol2ImKernel::run()</a>, and <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml#l00303">GCGEMMMatrixMultiplyKernel::run()</a>.</p> |
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| </div> |
| </div> |
| <a id="aa9ed9d806fc3364df21027387b9e735a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa9ed9d806fc3364df21027387b9e735a">◆ </a></span>add_3D_tensor_argument()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void add_3D_tensor_argument </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int & </td> |
| <td class="paramname"><em>idx</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>tensor</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const unsigned int </td> |
| <td class="paramname"><em>binding_point</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
| <td class="paramname"><em>window</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments.Input and output tensor will have sperated index, multiple indices start from 1, single index have to be set to 0. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> to set as an argument of the object's kernel. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">binding_point</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a>'s binding point in this kernel. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window.">Window</a> the kernel will be executed on. </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00132">132</a> of file <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml">IGCKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  add_tensor_argument<3>(idx, tensor, binding_point, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_i_g_c_simple3_d_kernel_8cpp_source.xhtml#l00033">IGCSimple3DKernel::run()</a>, <a class="el" href="_g_c_scale_kernel_8cpp_source.xhtml#l00145">GCScaleKernel::run()</a>, <a class="el" href="_g_c_activation_layer_kernel_8cpp_source.xhtml#l00104">GCActivationLayerKernel::run()</a>, <a class="el" href="_g_c_pixel_wise_multiplication_kernel_8cpp_source.xhtml#l00101">GCPixelWiseMultiplicationKernel::run()</a>, <a class="el" href="_g_c_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml#l00205">GCDepthwiseConvolutionLayer3x3Kernel::run()</a>, <a class="el" href="_g_c_normalization_layer_kernel_8cpp_source.xhtml#l00098">GCNormalizationLayerKernel::run()</a>, <a class="el" href="_g_c_depth_concatenate_layer_kernel_8cpp_source.xhtml#l00087">GCDepthConcatenateLayerKernel::run()</a>, <a class="el" href="_g_c_dropout_layer_kernel_8cpp_source.xhtml#l00086">GCDropoutLayerKernel::run()</a>, <a class="el" href="_g_c_softmax_layer_kernel_8cpp_source.xhtml#l00171">GCLogits1DShiftExpSumKernel::run()</a>, <a class="el" href="_g_c_fill_border_kernel_8cpp_source.xhtml#l00141">GCFillBorderKernel::run()</a>, <a class="el" href="_g_c_pooling_layer_kernel_8cpp_source.xhtml#l00331">GCPoolingLayerKernel::run()</a>, <a class="el" href="_g_c_arithmetic_addition_kernel_8cpp_source.xhtml#l00131">GCArithmeticAdditionKernel::run()</a>, <a class="el" href="_g_c_normalize_planar_y_u_v_layer_kernel_8cpp_source.xhtml#l00132">GCNormalizePlanarYUVLayerKernel::run()</a>, <a class="el" href="_g_c_tensor_shift_kernel_8cpp_source.xhtml#l00077">GCTensorShiftKernel::run()</a>, <a class="el" href="_g_c_weights_reshape_kernel_8cpp_source.xhtml#l00101">GCWeightsReshapeKernel::run()</a>, <a class="el" href="_g_c_col2_im_kernel_8cpp_source.xhtml#l00097">GCCol2ImKernel::run()</a>, <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml#l00205">GCBatchNormalizationLayerKernel::run()</a>, and <a class="el" href="_g_c_softmax_layer_kernel_8cpp_source.xhtml#l00249">GCLogits1DNormKernel::run()</a>.</p> |
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| </div> |
| </div> |
| <a id="aa550ff0352ff2388e02f7b0a41bf5fe7"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa550ff0352ff2388e02f7b0a41bf5fe7">◆ </a></span>get_target()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> get_target </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">inline</span></span> </td> |
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| <p>Get the targeted GPU architecture. </p> |
| <dl class="section return"><dt>Returns</dt><dd>The targeted GPU architecture. </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00122">122</a> of file <a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">return</span> _target;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_g_c_g_e_m_m_matrix_multiply_kernel_8cpp_source.xhtml#l00185">GCGEMMMatrixMultiplyKernel::configure()</a>.</p> |
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| </div> |
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| <a id="a3b8f9d088e013cfbb039fd0ebbe42589"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a3b8f9d088e013cfbb039fd0ebbe42589">◆ </a></span>kernel()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml">GCKernel</a> & kernel </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Returns a reference to the GLES kernel of this object. </p> |
| <dl class="section return"><dt>Returns</dt><dd>A reference to the GLES kernel of this object. </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00069">69</a> of file <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml">IGCKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> _kernel;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00041">arm_compute::enqueue()</a>.</p> |
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| </div> |
| </div> |
| <a id="a24938aee389d915b1cc481f11346b2f6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a24938aee389d915b1cc481f11346b2f6">◆ </a></span>num_arguments_per_1D_tensor()</h2> |
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| <td class="memname">unsigned int num_arguments_per_1D_tensor </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
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| <p>Returns the number of arguments enqueued per 1D tensor object. </p> |
| <dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 1D tensor object. </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00137">137</a> of file <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml">IGCKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> num_arguments_per_tensor<1>();</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_g_c_weights_reshape_kernel_8cpp_source.xhtml#l00046">GCWeightsReshapeKernel::configure()</a>.</p> |
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| </div> |
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| <a id="a1cdff9e90a54e4ea673d10b2dcd7ec9f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1cdff9e90a54e4ea673d10b2dcd7ec9f">◆ </a></span>num_arguments_per_2D_tensor()</h2> |
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| <td class="memname">unsigned int num_arguments_per_2D_tensor </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
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| <p>Returns the number of arguments enqueued per 2D tensor object. </p> |
| <dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 2D tensor object. </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00142">142</a> of file <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml">IGCKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">return</span> num_arguments_per_tensor<2>();</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_g_c_weights_reshape_kernel_8cpp_source.xhtml#l00046">GCWeightsReshapeKernel::configure()</a>.</p> |
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| </div> |
| </div> |
| <a id="abb64cdefb07e7d0e4dc5722015cccc35"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#abb64cdefb07e7d0e4dc5722015cccc35">◆ </a></span>num_arguments_per_3D_tensor()</h2> |
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| <td class="memname">unsigned int num_arguments_per_3D_tensor </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
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| <p>Returns the number of arguments enqueued per 3D tensor object. </p> |
| <dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 3D tensor object. </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00147">147</a> of file <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml">IGCKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">return</span> num_arguments_per_tensor<3>();</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_g_c_softmax_layer_kernel_8cpp_source.xhtml#l00042">GCLogits1DMaxKernel::configure()</a>, <a class="el" href="_g_c_scale_kernel_8cpp_source.xhtml#l00047">GCScaleKernel::configure()</a>, <a class="el" href="_g_c_fill_border_kernel_8cpp_source.xhtml#l00060">GCFillBorderKernel::configure()</a>, <a class="el" href="_g_c_softmax_layer_kernel_8cpp_source.xhtml#l00107">GCLogits1DShiftExpSumKernel::configure()</a>, <a class="el" href="_g_c_weights_reshape_kernel_8cpp_source.xhtml#l00046">GCWeightsReshapeKernel::configure()</a>, <a class="el" href="_g_c_depthwise_convolution_layer3x3_kernel_8cpp_source.xhtml#l00205">GCDepthwiseConvolutionLayer3x3Kernel::run()</a>, <a class="el" href="_g_c_normalize_planar_y_u_v_layer_kernel_8cpp_source.xhtml#l00132">GCNormalizePlanarYUVLayerKernel::run()</a>, <a class="el" href="_g_c_col2_im_kernel_8cpp_source.xhtml#l00097">GCCol2ImKernel::run()</a>, and <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml#l00205">GCBatchNormalizationLayerKernel::run()</a>.</p> |
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| <a id="a6f56c8bb44166634652b877d6eb7a9a2"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6f56c8bb44166634652b877d6eb7a9a2">◆ </a></span>run()</h2> |
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| <td class="memname">virtual void run </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
| <td class="paramname"><em>window</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
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| <p>Enqueue the OpenGL ES shader to process the given window. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a valid region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>). </td></tr> |
| </table> |
| </dd> |
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| <p>Implemented in <a class="el" href="classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCLogits1DNormKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCBatchNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCIm2ColKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCCol2ImKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCWeightsReshapeKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCTensorShiftKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCNormalizePlanarYUVLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCArithmeticAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMInterleave4x4Kernel</a>, <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDirectConvolutionLayerKernel< kernel_size ></a>, <a class="el" href="classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCFillBorderKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDropoutLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCLogits1DShiftExpSumKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDepthConcatenateLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMTranspose1xWKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCAbsoluteDifferenceKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMMatrixAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCActivationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDepthwiseConvolutionLayer3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCPixelWiseMultiplicationKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMMatrixAccumulateBiasesKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_scale_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCScaleKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_transpose_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCTransposeKernel</a>, <a class="el" href="classarm__compute_1_1_i_g_c_simple3_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">IGCSimple3DKernel</a>, and <a class="el" href="classarm__compute_1_1_i_g_c_simple2_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">IGCSimple2DKernel</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_g_c_scheduler_8cpp_source.xhtml#l00069">GCScheduler::dispatch()</a>.</p> |
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| </div> |
| </div> |
| <a id="a3c6173aecfebc9030bf8a0bee0c0ced8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a3c6173aecfebc9030bf8a0bee0c0ced8">◆ </a></span>set_lws_hint()</h2> |
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| <td class="memname">void set_lws_hint </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml">gles::NDRange</a> & </td> |
| <td class="paramname"><em>lws_hint</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| <p>Set the Local-Workgroup-Size hint. </p> |
| <dl class="section note"><dt>Note</dt><dd>This method should be called after the configuration of the kernel</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">lws_hint</td><td>Local-Workgroup-Size to use </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00104">104</a> of file <a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  _lws_hint = lws_hint;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="ad5ba9d34a3a855bf1dd2e36316ff550a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad5ba9d34a3a855bf1dd2e36316ff550a">◆ </a></span>set_target()</h2> |
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| <td class="memname">void set_target </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> </td> |
| <td class="paramname"><em>target</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| <p>Set the targeted GPU architecture. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">target</td><td>The targeted GPU architecture </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p class="definition">Definition at line <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00113">113</a> of file <a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  _target = target;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_g_c_g_e_m_m_8cpp_source.xhtml#l00081">GCGEMM::configure()</a>, and <a class="el" href="_g_c_convolution_layer_8cpp_source.xhtml#l00090">GCConvolutionLayer::configure()</a>.</p> |
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| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/core/GLES_COMPUTE/<a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a></li> |
| <li>src/core/GLES_COMPUTE/<a class="el" href="_i_g_c_kernel_8cpp_source.xhtml">IGCKernel.cpp</a></li> |
| </ul> |
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