arm_compute v18.05
[platform/upstream/armcl.git] / documentation / classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml
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118   <div class="summary">
119 <a href="#pub-methods">Public Member Functions</a> &#124;
120 <a href="#pub-static-methods">Static Public Member Functions</a>  </div>
121   <div class="headertitle">
122 <div class="title">CLGEMMLowpMatrixMultiplyCore Class Reference</div>  </div>
123 </div><!--header-->
124 <div class="contents">
125
126 <p>Basic function to execute GEMMLowpMatrixMultiplyCore on OpenCL.  
127  <a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#details">More...</a></p>
128
129 <p><code>#include &lt;<a class="el" href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h_source.xhtml">CLGEMMLowpMatrixMultiplyCore.h</a>&gt;</code></p>
130 <div class="dynheader">
131 Collaboration diagram for CLGEMMLowpMatrixMultiplyCore:</div>
132 <div class="dyncontent">
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134 </div>
135 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
136 <table class="memberdecls">
137 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
138 Public Member Functions</h2></td></tr>
139 <tr class="memitem:a1c3a177d5a3188691c9946e1a78839d0"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a1c3a177d5a3188691c9946e1a78839d0">CLGEMMLowpMatrixMultiplyCore</a> (std::shared_ptr&lt; <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> &gt; memory_manager=nullptr)</td></tr>
140 <tr class="memdesc:a1c3a177d5a3188691c9946e1a78839d0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a1c3a177d5a3188691c9946e1a78839d0">More...</a><br /></td></tr>
141 <tr class="separator:a1c3a177d5a3188691c9946e1a78839d0"><td class="memSeparator" colspan="2">&#160;</td></tr>
142 <tr class="memitem:a507a231e2fc47ce556a5863bd1a48e1f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a507a231e2fc47ce556a5863bd1a48e1f">configure</a> (const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *a, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *b, <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, const <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &amp;gemm_info=<a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a>())</td></tr>
143 <tr class="memdesc:a507a231e2fc47ce556a5863bd1a48e1f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialise the kernel's inputs, output.  <a href="#a507a231e2fc47ce556a5863bd1a48e1f">More...</a><br /></td></tr>
144 <tr class="separator:a507a231e2fc47ce556a5863bd1a48e1f"><td class="memSeparator" colspan="2">&#160;</td></tr>
145 <tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr>
146 <tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Run the kernels contained in the function.  <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr>
147 <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
148 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_function"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_function')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr>
149 <tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr>
150 <tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor.  <a href="#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr>
151 <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
152 <tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr>
153 <tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prepare the function for executing.  <a href="#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr>
154 <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
155 </table><table class="memberdecls">
156 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
157 Static Public Member Functions</h2></td></tr>
158 <tr class="memitem:abcbef27f34f4b4d09106e19c12892aa4"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#abcbef27f34f4b4d09106e19c12892aa4">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *a, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *b, 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_g_e_m_m_info.xhtml">GEMMInfo</a> &amp;gemm_info=<a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a>())</td></tr>
159 <tr class="memdesc:abcbef27f34f4b4d09106e19c12892aa4"><td class="mdescLeft">&#160;</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_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a>.  <a href="#abcbef27f34f4b4d09106e19c12892aa4">More...</a><br /></td></tr>
160 <tr class="separator:abcbef27f34f4b4d09106e19c12892aa4"><td class="memSeparator" colspan="2">&#160;</td></tr>
161 </table>
162 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
163 <div class="textblock"><p>Basic function to execute GEMMLowpMatrixMultiplyCore on OpenCL. </p>
164 <p>This function calls the following OpenCL kernels:</p>
165 <ol type="1">
166 <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml">CLGEMMInterleave4x4Kernel</a> (if the output tensor is a matrix)</li>
167 <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml">CLGEMMTranspose1xWKernel</a> (if the output tensor is a matrix)</li>
168 <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">CLGEMMLowpMatrixMultiplyKernel</a></li>
169 <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml">CLGEMMLowpMatrixAReductionKernel</a> (if the offset of matrix B is not 0)</li>
170 <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml">CLGEMMLowpMatrixBReductionKernel</a> (if the offset of matrix A is not 0)</li>
171 <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> </li>
172 </ol>
173
174 <p>Definition at line <a class="el" href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h_source.xhtml#l00051">51</a> of file <a class="el" href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h_source.xhtml">CLGEMMLowpMatrixMultiplyCore.h</a>.</p>
175 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
176 <a class="anchor" id="a1c3a177d5a3188691c9946e1a78839d0"></a>
177 <div class="memitem">
178 <div class="memproto">
179       <table class="memname">
180         <tr>
181           <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a> </td>
182           <td>(</td>
183           <td class="paramtype">std::shared_ptr&lt; <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> &gt;&#160;</td>
184           <td class="paramname"><em>memory_manager</em> = <code>nullptr</code></td><td>)</td>
185           <td></td>
186         </tr>
187       </table>
188 </div><div class="memdoc">
189
190 <p>Constructor. </p>
191
192 </div>
193 </div>
194 <h2 class="groupheader">Member Function Documentation</h2>
195 <a class="anchor" id="a507a231e2fc47ce556a5863bd1a48e1f"></a>
196 <div class="memitem">
197 <div class="memproto">
198       <table class="memname">
199         <tr>
200           <td class="memname">void configure </td>
201           <td>(</td>
202           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
203           <td class="paramname"><em>a</em>, </td>
204         </tr>
205         <tr>
206           <td class="paramkey"></td>
207           <td></td>
208           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
209           <td class="paramname"><em>b</em>, </td>
210         </tr>
211         <tr>
212           <td class="paramkey"></td>
213           <td></td>
214           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
215           <td class="paramname"><em>output</em>, </td>
216         </tr>
217         <tr>
218           <td class="paramkey"></td>
219           <td></td>
220           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &amp;&#160;</td>
221           <td class="paramname"><em>gemm_info</em> = <code><a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a>()</code>&#160;</td>
222         </tr>
223         <tr>
224           <td></td>
225           <td>)</td>
226           <td></td><td></td>
227         </tr>
228       </table>
229 </div><div class="memdoc">
230
231 <p>Initialise the kernel's inputs, output. </p>
232 <dl class="section note"><dt>Note</dt><dd>GEMM_LOWP: low precision GEMM kernel This kernel performs the following computations:</dd></dl>
233 <ol type="1">
234 <li>Convert a values from QASYMM8 to int32 and add a_offset to each of them.</li>
235 <li>Convert b values from QASYMM8 to int32 add b_offset to each of them.</li>
236 <li>Compute the matrix product of the resulting a * b in int32.</li>
237 </ol>
238 <dl class="params"><dt>Parameters</dt><dd>
239   <table class="params">
240     <tr><td class="paramdir">[in]</td><td class="paramname">a</td><td>First input tensor (Matrix A). Data type supported: QASYMM8. </td></tr>
241     <tr><td class="paramdir">[in]</td><td class="paramname">b</td><td>Second input tensor (Matrix B). Data type supported: same as <code>a</code> </td></tr>
242     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Output tensor. Data type supported: Data type supported: S32 </td></tr>
243     <tr><td class="paramdir">[in]</td><td class="paramname">gemm_info</td><td>(Optional) Specifies if the matrix A and/or matrix B have been reshaped and if the reshape of matrix B should be executed only for the first run </td></tr>
244   </table>
245   </dd>
246 </dl>
247
248 </div>
249 </div>
250 <a class="anchor" id="ad1717410afd0be936c6213a63c8005fb"></a>
251 <div class="memitem">
252 <div class="memproto">
253 <table class="mlabels">
254   <tr>
255   <td class="mlabels-left">
256       <table class="memname">
257         <tr>
258           <td class="memname">void run </td>
259           <td>(</td>
260           <td class="paramname"></td><td>)</td>
261           <td></td>
262         </tr>
263       </table>
264   </td>
265   <td class="mlabels-right">
266 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
267   </tr>
268 </table>
269 </div><div class="memdoc">
270
271 <p>Run the kernels contained in the function. </p>
272 <p>For NEON kernels:</p><ul>
273 <li>Multi-threading is used for the kernels which are parallelisable.</li>
274 <li>By default std::thread::hardware_concurrency() threads are used.</li>
275 </ul>
276 <dl class="section note"><dt>Note</dt><dd><a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095">CPPScheduler::set_num_threads()</a> can be used to manually set the number of threads</dd></dl>
277 <p>For OpenCL kernels:</p><ul>
278 <li>All the kernels are enqueued on the queue associated with <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue. ">CLScheduler</a>.</li>
279 <li>The queue is then flushed.</li>
280 </ul>
281 <dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd>
282 <dd>
283 Will call <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26" title="Prepare the function for executing. ">prepare()</a> on first run if hasn't been done </dd></dl>
284
285 <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
286
287 </div>
288 </div>
289 <a class="anchor" id="abcbef27f34f4b4d09106e19c12892aa4"></a>
290 <div class="memitem">
291 <div class="memproto">
292 <table class="mlabels">
293   <tr>
294   <td class="mlabels-left">
295       <table class="memname">
296         <tr>
297           <td class="memname">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
298           <td>(</td>
299           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
300           <td class="paramname"><em>a</em>, </td>
301         </tr>
302         <tr>
303           <td class="paramkey"></td>
304           <td></td>
305           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
306           <td class="paramname"><em>b</em>, </td>
307         </tr>
308         <tr>
309           <td class="paramkey"></td>
310           <td></td>
311           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
312           <td class="paramname"><em>output</em>, </td>
313         </tr>
314         <tr>
315           <td class="paramkey"></td>
316           <td></td>
317           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &amp;&#160;</td>
318           <td class="paramname"><em>gemm_info</em> = <code><a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a>()</code>&#160;</td>
319         </tr>
320         <tr>
321           <td></td>
322           <td>)</td>
323           <td></td><td></td>
324         </tr>
325       </table>
326   </td>
327   <td class="mlabels-right">
328 <span class="mlabels"><span class="mlabel">static</span></span>  </td>
329   </tr>
330 </table>
331 </div><div class="memdoc">
332
333 <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a>. </p>
334 <dl class="params"><dt>Parameters</dt><dd>
335   <table class="params">
336     <tr><td class="paramdir">[in]</td><td class="paramname">a</td><td>First input tensor (Matrix A). Data type supported: QASYMM8. </td></tr>
337     <tr><td class="paramdir">[in]</td><td class="paramname">b</td><td>Second input tensor (Matrix B). Data type supported: same as <code>a</code> </td></tr>
338     <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Output tensor. Data type supported: Data type supported: S32 </td></tr>
339     <tr><td class="paramdir">[in]</td><td class="paramname">gemm_info</td><td>(Optional) Specifies if the matrix A and/or matrix B have been reshaped and if the reshape of matrix B should be executed only for the first run</td></tr>
340   </table>
341   </dd>
342 </dl>
343 <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
344
345 </div>
346 </div>
347 <hr/>The documentation for this class was generated from the following file:<ul>
348 <li>arm_compute/runtime/CL/functions/<a class="el" href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h_source.xhtml">CLGEMMLowpMatrixMultiplyCore.h</a></li>
349 </ul>
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