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| <a href="#pub-methods">Public Member Functions</a> | |
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| <div class="title">CLGEMM Class Reference</div> </div> |
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| |
| <p>Basic function to execute GEMM on OpenCL. |
| <a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_c_l_g_e_m_m_8h_source.xhtml">CLGEMM.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for CLGEMM:</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:aa970e5dc11c839c0729f64114cac2324"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa970e5dc11c839c0729f64114cac2324">CLGEMM</a> (std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > memory_manager=nullptr, <a class="el" href="classarm__compute_1_1_i_weights_manager.xhtml">IWeightsManager</a> *weights_manager=nullptr)</td></tr> |
| <tr class="memdesc:aa970e5dc11c839c0729f64114cac2324"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#aa970e5dc11c839c0729f64114cac2324">More...</a><br /></td></tr> |
| <tr class="separator:aa970e5dc11c839c0729f64114cac2324"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3d6349f009b4f8b0cede0b6bd0a65e71"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a3d6349f009b4f8b0cede0b6bd0a65e71">CLGEMM</a> (const <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &)=delete</td></tr> |
| <tr class="memdesc:a3d6349f009b4f8b0cede0b6bd0a65e71"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a3d6349f009b4f8b0cede0b6bd0a65e71">More...</a><br /></td></tr> |
| <tr class="separator:a3d6349f009b4f8b0cede0b6bd0a65e71"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a19d221206d1e442f4b5dd29ecb582a70"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a19d221206d1e442f4b5dd29ecb582a70">CLGEMM</a> (<a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &&)=default</td></tr> |
| <tr class="memdesc:a19d221206d1e442f4b5dd29ecb582a70"><td class="mdescLeft"> </td><td class="mdescRight">Default move constructor. <a href="#a19d221206d1e442f4b5dd29ecb582a70">More...</a><br /></td></tr> |
| <tr class="separator:a19d221206d1e442f4b5dd29ecb582a70"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aebefa7576807b8b316ea46c242949039"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aebefa7576807b8b316ea46c242949039">operator=</a> (const <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &)=delete</td></tr> |
| <tr class="memdesc:aebefa7576807b8b316ea46c242949039"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#aebefa7576807b8b316ea46c242949039">More...</a><br /></td></tr> |
| <tr class="separator:aebefa7576807b8b316ea46c242949039"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a83a121357a2121ef7f0670b3f81e4645"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a83a121357a2121ef7f0670b3f81e4645">operator=</a> (<a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &&)=default</td></tr> |
| <tr class="memdesc:a83a121357a2121ef7f0670b3f81e4645"><td class="mdescLeft"> </td><td class="mdescRight">Default move assignment operator. <a href="#a83a121357a2121ef7f0670b3f81e4645">More...</a><br /></td></tr> |
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| <tr class="memitem:a34e7b882208ff6720bad2e4f2c7565c5"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a34e7b882208ff6720bad2e4f2c7565c5">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, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *c, <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, float alpha, float beta, const <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info=<a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a>())</td></tr> |
| <tr class="memdesc:a34e7b882208ff6720bad2e4f2c7565c5"><td class="mdescLeft"> </td><td class="mdescRight">Initialise the kernel's inputs and output. <a href="#a34e7b882208ff6720bad2e4f2c7565c5">More...</a><br /></td></tr> |
| <tr class="separator:a34e7b882208ff6720bad2e4f2c7565c5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr> |
| <tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft"> </td><td class="mdescRight">Run the kernels contained in the function. <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr> |
| <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa9b93ef660fc3c5b4b19d3fc7b891b77"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">prepare</a> () override</td></tr> |
| <tr class="memdesc:aa9b93ef660fc3c5b4b19d3fc7b891b77"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="#aa9b93ef660fc3c5b4b19d3fc7b891b77">More...</a><br /></td></tr> |
| <tr class="separator:aa9b93ef660fc3c5b4b19d3fc7b891b77"><td class="memSeparator" colspan="2"> </td></tr> |
| <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="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr> |
| <tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr> |
| <tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr> |
| <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><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:a3493ba7d1f2057740ff5931fa00a44ac"><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_c_l_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac">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> *c, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, float alpha, float beta, const <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info=<a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a>())</td></tr> |
| <tr class="memdesc:a3493ba7d1f2057740ff5931fa00a44ac"><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_c_l_g_e_m_m.xhtml">CLGEMM</a>. <a href="#a3493ba7d1f2057740ff5931fa00a44ac">More...</a><br /></td></tr> |
| <tr class="separator:a3493ba7d1f2057740ff5931fa00a44ac"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Basic function to execute GEMM on OpenCL. </p> |
| <p>This function calls the following OpenCL kernels:</p> |
| <ol type="1"> |
| <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml">CLGEMMReshapeLHSMatrixKernel</a> (only if the RESHAPED_V1 is selected by the heuristic model)</li> |
| <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml">CLGEMMReshapeRHSMatrixKernel</a> (only if either the RESHAPED_V1 or RESHAPED_ONLY_RHS is selected by the select_gemm_type method())</li> |
| <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml">CLGEMMMatrixMultiplyKernel</a> (only if either the NATIVE or RESHAPED_V1 is selected by the select_gemm_type method())</li> |
| <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">CLGEMMMatrixMultiplyReshapedKernel</a> (only if RESHAPED_V1 is selected by the select_gemm_type method())</li> |
| <li><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml">CLGEMMMatrixMultiplyReshapedOnlyRHSKernel</a> (only if RESHAPED_ONLY_RHS is selected by the select_gemm_type method()) </li> |
| </ol> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_8h_source.xhtml#l00100">100</a> of file <a class="el" href="_c_l_g_e_m_m_8h_source.xhtml">CLGEMM.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="aa970e5dc11c839c0729f64114cac2324"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa970e5dc11c839c0729f64114cac2324">◆ </a></span>CLGEMM() <span class="overload">[1/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> </td> |
| <td>(</td> |
| <td class="paramtype">std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > </td> |
| <td class="paramname"><em>memory_manager</em> = <code>nullptr</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_weights_manager.xhtml">IWeightsManager</a> * </td> |
| <td class="paramname"><em>weights_manager</em> = <code>nullptr</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default constructor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">memory_manager</td><td>(Optional) <a class="el" href="classarm__compute_1_1_memory.xhtml" title="CPU implementation of memory object.">Memory</a> manager. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">weights_manager</td><td>(Optional) Weights manager. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml#l00050">50</a> of file <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml">CLGEMM.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  : _memory_group(std::move(memory_manager)),</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  _weights_manager(weights_manager),</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  _mm_kernel(),</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  _reshape_lhs_kernel(),</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  _reshape_rhs_kernel(),</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  _reshape_rhs_kernel_managed(),</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  _mm_reshaped_kernel(),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  _mm_reshaped_only_rhs_kernel(),</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  _tmp_a(),</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  _tmp_b(),</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  _original_b(<span class="keyword">nullptr</span>),</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  _reshape_b_only_on_first_run(<span class="keyword">false</span>),</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  _is_prepared(<span class="keyword">false</span>),</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  _gemm_type(GEMMType::NATIVE)</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div></div><!-- fragment --> |
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| </div> |
| <a id="a3d6349f009b4f8b0cede0b6bd0a65e71"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a3d6349f009b4f8b0cede0b6bd0a65e71">◆ </a></span>CLGEMM() <span class="overload">[2/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</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> |
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| </div><div class="memdoc"> |
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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="a19d221206d1e442f4b5dd29ecb582a70"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a19d221206d1e442f4b5dd29ecb582a70">◆ </a></span>CLGEMM() <span class="overload">[3/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
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| </div><div class="memdoc"> |
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| <p>Default move constructor. </p> |
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| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a34e7b882208ff6720bad2e4f2c7565c5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a34e7b882208ff6720bad2e4f2c7565c5">◆ </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_c_l_tensor.xhtml">ICLTensor</a> * </td> |
| <td class="paramname"><em>a</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> * </td> |
| <td class="paramname"><em>b</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> * </td> |
| <td class="paramname"><em>c</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">float </td> |
| <td class="paramname"><em>alpha</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>beta</em>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> & </td> |
| <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> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
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| <p>Initialise the kernel's inputs and output. </p> |
| <dl class="section note"><dt>Note</dt><dd>GEMM: General Matrix Multiply - [alpha * A * B + beta * C].</dd> |
| <dd> |
| All tensors must have the same data type.</dd> |
| <dd> |
| Whilst the first input tensor can be a vector, the second input tensor must be at least a matrix</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">a</td><td>First input tensor (Matrix or <a class="el" href="struct_vector.xhtml" title="Structure to hold Vector information.">Vector</a> A). Data types supported: F16/F32 </td></tr> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">c</td><td>Third input tensor (Matrix C). It can be a nullptr if just the multiplication between <code>a</code> and <code>b</code> is needed. Data type supported: same as <code>a</code>. </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Output tensor. Data type supported: same as <code>a</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">alpha</td><td>Weight of the matrix product </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Weight of matrix C </td></tr> |
| <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 happen only for the first run. <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml" title="GEMM information class.">GEMMInfo</a> also contains information about the reshaping in case matrix A and matrix B have been already transformed. </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml#l00537">537</a> of file <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml">CLGEMM.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> {</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, output);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> </div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="comment">// Perform validation step</span></div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac">validate</a>(a->info(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>->info(), c != <span class="keyword">nullptr</span> ? c->info() : <span class="keyword">nullptr</span>, output->info(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, beta, gemm_info));</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> </div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="comment">// Check if we need to reshape the matrix B only on the first run</span></div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  _reshape_b_only_on_first_run = gemm_info.reshape_b_only_on_first_run();</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  _is_prepared = gemm_info.retain_internal_weights();</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  _original_b = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>;</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="comment">// Get the GPU target</span></div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> gpu_target = <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a27561688e2fc60176608ef725a4ecb30">target</a>();</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordtype">bool</span> reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d();</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m = reinterpret_input_as_3d ? (a->info()->dimension(1) * a->info()->dimension(2)) : a->info()->dimension(1);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>->info()->dimension(0);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = a->info()->dimension(0);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="comment">// Select GEMMType</span></div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  _gemm_type = select_gemm_type(m, n, k, a->info()->data_type(), _reshape_b_only_on_first_run, gpu_target);</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> fuse_add_c = (!(<a class="code" href="namespacearm__compute_1_1helpers_1_1float__ops.xhtml#a3bd19352aed7410633d1f9b95d74a809">helpers::float_ops::is_zero</a>(beta)) && c != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keyword">const</span> ICLTensor *c_to_use = fuse_add_c ? c : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordflow">switch</span>(_gemm_type)</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  {</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordflow">case</span> GEMMType::NATIVE:</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  {</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  configure_native(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, c_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, beta, gemm_info);</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">case</span> GEMMType::RESHAPED_V1:</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  {</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  configure_reshaped_v1(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, c_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, beta, gemm_info);</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  }</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">case</span> GEMMType::RESHAPED_V2:</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  configure_reshaped_v2(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, c_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, beta, gemm_info);</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  }</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">case</span> GEMMType::RESHAPED_ONLY_RHS:</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  {</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  configure_reshaped_only_rhs(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, c_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, beta, gemm_info);</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  }</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  {</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"GEMMType not supported"</span>);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  }</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  }</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor< float > b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler.cpp:99</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a7cf8d8b669b8f7b05680230be30d60f4"><div class="ttname"><a href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(msg)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00352">Error.h:352</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a27561688e2fc60176608ef725a4ecb30"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a27561688e2fc60176608ef725a4ecb30">arm_compute::CLScheduler::target</a></div><div class="ttdeci">GPUTarget target() const</div><div class="ttdoc">Get the target GPU.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00047">CLScheduler.cpp:47</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00455">Error.h:455</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3161c2c93c655dd30953372064ec627b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">arm_compute::test::validation::alpha</a></div><div class="ttdeci">const float alpha</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">Accumulate.cpp:103</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a735ac6c2a02e320969625308810444f3"><div class="ttname"><a href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">arm_compute::GPUTarget</a></div><div class="ttdeci">GPUTarget</div><div class="ttdoc">Available GPU Targets.</div><div class="ttdef"><b>Definition:</b> <a href="_g_p_u_target_8h_source.xhtml#l00034">GPUTarget.h:34</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1float__ops_xhtml_a3bd19352aed7410633d1f9b95d74a809"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1float__ops.xhtml#a3bd19352aed7410633d1f9b95d74a809">arm_compute::helpers::float_ops::is_zero</a></div><div class="ttdeci">bool is_zero(float a, float epsilon=0.00001f)</div><div class="ttdoc">Checks if the input floating point number is 0.0f checking if the difference is within a range define...</div><div class="ttdef"><b>Definition:</b> <a href="float__ops_8h_source.xhtml#l00109">float_ops.h:109</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml_a3493ba7d1f2057740ff5931fa00a44ac"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac">arm_compute::CLGEMM::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *output, float alpha, float beta, const GEMMInfo &gemm_info=GEMMInfo())</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLGEMM.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8cpp_source.xhtml#l00592">CLGEMM.cpp:592</a></div></div> |
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| <p class="reference">References <a class="el" href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">arm_compute::test::validation::alpha</a>, <a class="el" href="_error_8h_source.xhtml#l00352">ARM_COMPUTE_ERROR</a>, <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00455">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">arm_compute::test::validation::b</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="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler::get()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="float__ops_8h_source.xhtml#l00109">arm_compute::helpers::float_ops::is_zero()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02070">GEMMInfo::reinterpret_input_as_3d()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02054">GEMMInfo::reshape_b_only_on_first_run()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02078">GEMMInfo::retain_internal_weights()</a>, <a class="el" href="_c_l_scheduler_8cpp_source.xhtml#l00047">CLScheduler::target()</a>, and <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml#l00592">CLGEMM::validate()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_c_l_r_n_n_layer_8cpp_source.xhtml#l00069">CLRNNLayer::configure()</a>, <a class="el" href="_c_l_winograd_convolution_layer_8cpp_source.xhtml#l00098">CLWinogradConvolutionLayer::configure()</a>, <a class="el" href="_c_l_l_s_t_m_layer_8cpp_source.xhtml#l00056">CLLSTMLayer::configure()</a>, and <a class="el" href="_c_l_g_e_m_m_deconvolution_layer_8cpp_source.xhtml#l00195">CLGEMMDeconvolutionLayer::configure()</a>.</p> |
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| </div> |
| </div> |
| <a id="aebefa7576807b8b316ea46c242949039"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aebefa7576807b8b316ea46c242949039">◆ </a></span>operator=() <span class="overload">[1/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| </div> |
| </div> |
| <a id="a83a121357a2121ef7f0670b3f81e4645"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a83a121357a2121ef7f0670b3f81e4645">◆ </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_c_l_g_e_m_m.xhtml">CLGEMM</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> && </td> |
| <td class="paramname"></td><td>)</td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
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| <p>Default move assignment operator. </p> |
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| </div> |
| </div> |
| <a id="aa9b93ef660fc3c5b4b19d3fc7b891b77"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa9b93ef660fc3c5b4b19d3fc7b891b77">◆ </a></span>prepare()</h2> |
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| <td class="memname">void prepare </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Prepare the function for executing. </p> |
| <p>Any one off pre-processing step required by the function is handled here</p> |
| <dl class="section note"><dt>Note</dt><dd>Prepare stage might not need all the function's buffers' backing memory to be available in order to execute </dd></dl> |
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| <p>Reimplemented from <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">IFunction</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml#l00720">720</a> of file <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml">CLGEMM.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00721"></a><span class="lineno"> 721</span> {</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keywordflow">if</span>(!_is_prepared)</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  {</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keywordflow">if</span>(_gemm_type != GEMMType::NATIVE && _reshape_b_only_on_first_run)</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  {</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="keywordflow">if</span>(_weights_manager && _weights_manager-><a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml#a386f2182d06bad88bffebd18ace91f46">are_weights_managed</a>(_original_b))</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  {</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  _weights_manager-><a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml#a73808ac61e51d72c7d6349d6d51dcf37">run</a>(_original_b, &_reshape_rhs_kernel_managed);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  }</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  {</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <span class="comment">// Run transpose kernel and mark original weights tensor as unused</span></div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  _tmp_b.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">allocator</a>()-><a class="code" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_reshape_rhs_kernel, <span class="keyword">false</span>);</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  _original_b-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a9bc00234de9adf8c99a21eb1d7d494c2">mark_as_unused</a>();</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  }</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  }</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a398a2582c746d28fc125487a44c9ed74">queue</a>().finish();</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  _is_prepared = <span class="keyword">true</span>;</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  }</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler.cpp:99</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a4083de30daebd6bdee6b35d9c8262108"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">arm_compute::CLTensor::allocator</a></div><div class="ttdeci">CLTensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor's allocator.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00061">CLTensor.cpp:61</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a9bc00234de9adf8c99a21eb1d7d494c2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a9bc00234de9adf8c99a21eb1d7d494c2">arm_compute::ITensor::mark_as_unused</a></div><div class="ttdeci">void mark_as_unused() const</div><div class="ttdoc">Marks a tensor as unused.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8cpp_source.xhtml#l00167">ITensor.cpp:167</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_weights_manager_xhtml_a386f2182d06bad88bffebd18ace91f46"><div class="ttname"><a href="classarm__compute_1_1_i_weights_manager.xhtml#a386f2182d06bad88bffebd18ace91f46">arm_compute::IWeightsManager::are_weights_managed</a></div><div class="ttdeci">bool are_weights_managed(const ITensor *weights)</div><div class="ttdoc">Check if the weights are managed.</div><div class="ttdef"><b>Definition:</b> <a href="_i_weights_manager_8cpp_source.xhtml#l00112">IWeightsManager.cpp:112</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a398a2582c746d28fc125487a44c9ed74"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a398a2582c746d28fc125487a44c9ed74">arm_compute::CLScheduler::queue</a></div><div class="ttdeci">cl::CommandQueue & queue()</div><div class="ttdoc">Accessor for the associated CL command queue.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00041">CLScheduler.cpp:41</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_ae1a643e517f50bf0392fb6516dd7cf67"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">arm_compute::CLScheduler::enqueue</a></div><div class="ttdeci">void enqueue(ICLKernel &kernel, bool flush=true)</div><div class="ttdoc">Schedule the execution of the passed kernel if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00154">CLScheduler.cpp:154</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_allocator_xhtml_a6e509c2a177b0b29e9e2369535094dee"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">arm_compute::CLTensorAllocator::allocate</a></div><div class="ttdeci">void allocate() override</div><div class="ttdoc">Allocate size specified by TensorInfo of OpenCL memory.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_allocator_8cpp_source.xhtml#l00127">CLTensorAllocator.cpp:127</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_weights_manager_xhtml_a73808ac61e51d72c7d6349d6d51dcf37"><div class="ttname"><a href="classarm__compute_1_1_i_weights_manager.xhtml#a73808ac61e51d72c7d6349d6d51dcf37">arm_compute::IWeightsManager::run</a></div><div class="ttdeci">ITensor * run(const ITensor *weights, ITransformWeights *weights_transform)</div><div class="ttdoc">Run the reshape function.</div><div class="ttdef"><b>Definition:</b> <a href="_i_weights_manager_8cpp_source.xhtml#l00051">IWeightsManager.cpp:51</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_c_l_tensor_allocator_8cpp_source.xhtml#l00127">CLTensorAllocator::allocate()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00061">CLTensor::allocator()</a>, <a class="el" href="_i_weights_manager_8cpp_source.xhtml#l00112">IWeightsManager::are_weights_managed()</a>, <a class="el" href="_c_l_scheduler_8cpp_source.xhtml#l00154">CLScheduler::enqueue()</a>, <a class="el" href="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler::get()</a>, <a class="el" href="_i_tensor_8cpp_source.xhtml#l00167">ITensor::mark_as_unused()</a>, <a class="el" href="_c_l_scheduler_8cpp_source.xhtml#l00041">CLScheduler::queue()</a>, and <a class="el" href="_i_weights_manager_8cpp_source.xhtml#l00051">IWeightsManager::run()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_c_l_r_n_n_layer_8cpp_source.xhtml#l00119">CLRNNLayer::prepare()</a>, <a class="el" href="_c_l_winograd_convolution_layer_8cpp_source.xhtml#l00216">CLWinogradConvolutionLayer::prepare()</a>, <a class="el" href="_c_l_g_e_m_m_deconvolution_layer_8cpp_source.xhtml#l00354">CLGEMMDeconvolutionLayer::prepare()</a>, <a class="el" href="_c_l_fully_connected_layer_8cpp_source.xhtml#l00407">CLFullyConnectedLayer::prepare()</a>, <a class="el" href="_c_l_g_e_m_m_convolution_layer_8cpp_source.xhtml#l00629">CLGEMMConvolutionLayer::prepare()</a>, and <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml#l00639">CLGEMM::run()</a>.</p> |
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| <a id="ad1717410afd0be936c6213a63c8005fb"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad1717410afd0be936c6213a63c8005fb">◆ </a></span>run()</h2> |
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| <td class="memname">void run </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
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| <p>Run the kernels contained in the function. </p> |
| <p>For NEON kernels:</p><ul> |
| <li>Multi-threading is used for the kernels which are parallelisable.</li> |
| <li>By default std::thread::hardware_concurrency() threads are used.</li> |
| </ul> |
| <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> |
| <p>For OpenCL kernels:</p><ul> |
| <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> |
| <li>The queue is then flushed.</li> |
| </ul> |
| <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> |
| <dd> |
| Will call <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77" title="Prepare the function for executing.">prepare()</a> on first run if hasn't been done </dd></dl> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml#l00639">639</a> of file <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml">CLGEMM.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> {</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">prepare</a>();</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span> </div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  MemoryGroupResourceScope scope_mg(_memory_group);</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> </div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="comment">// Run matrix multiply kernel</span></div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keywordflow">switch</span>(_gemm_type)</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  {</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="keywordflow">case</span> GEMMType::NATIVE:</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  {</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_mm_kernel, <span class="keyword">true</span>);</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  }</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keywordflow">case</span> GEMMType::RESHAPED_V1:</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  {</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="comment">// Run interleave kernel</span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_reshape_lhs_kernel, <span class="keyword">false</span>);</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> </div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keywordflow">if</span>(!_reshape_b_only_on_first_run)</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  {</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <span class="comment">// Run transpose kernel</span></div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="keywordflow">if</span>(_weights_manager && _weights_manager-><a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml#a386f2182d06bad88bffebd18ace91f46">are_weights_managed</a>(_original_b))</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  {</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  _weights_manager-><a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml#a73808ac61e51d72c7d6349d6d51dcf37">run</a>(_original_b, &_reshape_rhs_kernel_managed);</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  }</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  {</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_reshape_rhs_kernel, <span class="keyword">false</span>);</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  }</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  }</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> </div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_mm_kernel, <span class="keyword">true</span>);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  }</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keywordflow">case</span> GEMMType::RESHAPED_V2:</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  {</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="comment">// Run interleave kernel</span></div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_reshape_lhs_kernel, <span class="keyword">false</span>);</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span> </div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keywordflow">if</span>(!_reshape_b_only_on_first_run)</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  {</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="comment">// Run transpose kernel</span></div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">if</span>(_weights_manager && _weights_manager-><a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml#a386f2182d06bad88bffebd18ace91f46">are_weights_managed</a>(_original_b))</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  {</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  _weights_manager-><a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml#a73808ac61e51d72c7d6349d6d51dcf37">run</a>(_original_b, &_reshape_rhs_kernel_managed);</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  }</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  {</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_reshape_rhs_kernel, <span class="keyword">false</span>);</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  }</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  }</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> </div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_mm_reshaped_kernel, <span class="keyword">true</span>);</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  }</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keywordflow">case</span> GEMMType::RESHAPED_ONLY_RHS:</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  {</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keywordflow">if</span>(!_reshape_b_only_on_first_run)</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  {</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="comment">// Run transpose kernel</span></div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keywordflow">if</span>(_weights_manager && _weights_manager-><a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml#a386f2182d06bad88bffebd18ace91f46">are_weights_managed</a>(_original_b))</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  {</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  _weights_manager-><a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml#a73808ac61e51d72c7d6349d6d51dcf37">run</a>(_original_b, &_reshape_rhs_kernel_managed);</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  }</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  {</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_reshape_rhs_kernel, <span class="keyword">false</span>);</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  }</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  }</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> </div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_mm_reshaped_only_rhs_kernel, <span class="keyword">true</span>);</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  }</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  {</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"GEMMType not supported"</span>);</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  }</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  }</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml_aa9b93ef660fc3c5b4b19d3fc7b891b77"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">arm_compute::CLGEMM::prepare</a></div><div class="ttdeci">void prepare() override</div><div class="ttdoc">Prepare the function for executing.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8cpp_source.xhtml#l00720">CLGEMM.cpp:720</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler.cpp:99</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a7cf8d8b669b8f7b05680230be30d60f4"><div class="ttname"><a href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(msg)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00352">Error.h:352</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_weights_manager_xhtml_a386f2182d06bad88bffebd18ace91f46"><div class="ttname"><a href="classarm__compute_1_1_i_weights_manager.xhtml#a386f2182d06bad88bffebd18ace91f46">arm_compute::IWeightsManager::are_weights_managed</a></div><div class="ttdeci">bool are_weights_managed(const ITensor *weights)</div><div class="ttdoc">Check if the weights are managed.</div><div class="ttdef"><b>Definition:</b> <a href="_i_weights_manager_8cpp_source.xhtml#l00112">IWeightsManager.cpp:112</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_ae1a643e517f50bf0392fb6516dd7cf67"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">arm_compute::CLScheduler::enqueue</a></div><div class="ttdeci">void enqueue(ICLKernel &kernel, bool flush=true)</div><div class="ttdoc">Schedule the execution of the passed kernel if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00154">CLScheduler.cpp:154</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_weights_manager_xhtml_a73808ac61e51d72c7d6349d6d51dcf37"><div class="ttname"><a href="classarm__compute_1_1_i_weights_manager.xhtml#a73808ac61e51d72c7d6349d6d51dcf37">arm_compute::IWeightsManager::run</a></div><div class="ttdeci">ITensor * run(const ITensor *weights, ITransformWeights *weights_transform)</div><div class="ttdoc">Run the reshape function.</div><div class="ttdef"><b>Definition:</b> <a href="_i_weights_manager_8cpp_source.xhtml#l00051">IWeightsManager.cpp:51</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_i_weights_manager_8cpp_source.xhtml#l00112">IWeightsManager::are_weights_managed()</a>, <a class="el" href="_error_8h_source.xhtml#l00352">ARM_COMPUTE_ERROR</a>, <a class="el" href="_c_l_scheduler_8cpp_source.xhtml#l00154">CLScheduler::enqueue()</a>, <a class="el" href="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler::get()</a>, <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml#l00720">CLGEMM::prepare()</a>, and <a class="el" href="_i_weights_manager_8cpp_source.xhtml#l00051">IWeightsManager::run()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_r_n_n_layer_8cpp_source.xhtml#l00104">CLRNNLayer::run()</a>, <a class="el" href="_c_l_winograd_convolution_layer_8cpp_source.xhtml#l00200">CLWinogradConvolutionLayer::run()</a>, <a class="el" href="_c_l_g_e_m_m_deconvolution_layer_8cpp_source.xhtml#l00321">CLGEMMDeconvolutionLayer::run()</a>, <a class="el" href="_c_l_l_s_t_m_layer_8cpp_source.xhtml#l00619">CLLSTMLayer::run()</a>, <a class="el" href="_c_l_fully_connected_layer_8cpp_source.xhtml#l00384">CLFullyConnectedLayer::run()</a>, and <a class="el" href="_c_l_g_e_m_m_convolution_layer_8cpp_source.xhtml#l00592">CLGEMMConvolutionLayer::run()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a3493ba7d1f2057740ff5931fa00a44ac"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a3493ba7d1f2057740ff5931fa00a44ac">◆ </a></span>validate()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>a</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>b</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>c</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>alpha</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>beta</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> & </td> |
| <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> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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.xhtml">CLGEMM</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">a</td><td>First input tensor info (Matrix or <a class="el" href="struct_vector.xhtml" title="Structure to hold Vector information.">Vector</a> A). Data types supported: F16/F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">b</td><td>Second input tensor info (Matrix B). Data type supported: same as <code>a</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">c</td><td>Third input tensor info (Matrix C). It can be a nullptr if just the multiplication between <code>a</code> and <code>b</code> is needed. Data type supported: same as <code>a</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Output tensor info. Data type supported: same as <code>a</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">alpha</td><td>Weight of the matrix product </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Weight of matrix C </td></tr> |
| <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 happen only for the first run</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml#l00592">592</a> of file <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml">CLGEMM.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> {</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="comment">// Get the GPU target</span></div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> gpu_target = <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a27561688e2fc60176608ef725a4ecb30">target</a>();</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordtype">bool</span> reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d();</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m = reinterpret_input_as_3d ? (a->dimension(1) * a->dimension(2)) : a->dimension(1);</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>->dimension(0);</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = a->dimension(0);</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="comment">// Select GEMMType</span></div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  GEMMType gemm_type = select_gemm_type(m, n, k, a->data_type(), gemm_info.reshape_b_only_on_first_run(), gpu_target);</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> </div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> fuse_add_c = (!(<a class="code" href="namespacearm__compute_1_1helpers_1_1float__ops.xhtml#a3bd19352aed7410633d1f9b95d74a809">helpers::float_ops::is_zero</a>(beta)) && c != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span> </div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keyword">const</span> ITensorInfo *c_to_use = fuse_add_c ? c : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">switch</span>(gemm_type)</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  {</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keywordflow">case</span> GEMMType::NATIVE:</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  {</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_native(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, c_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, beta, gemm_info));</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  }</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keywordflow">case</span> GEMMType::RESHAPED_V1:</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  {</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_reshaped_v1(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, c_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, beta, gemm_info));</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  }</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keywordflow">case</span> GEMMType::RESHAPED_V2:</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  {</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_reshaped_v2(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, c_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, beta, gemm_info));</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  }</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keywordflow">case</span> GEMMType::RESHAPED_ONLY_RHS:</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  {</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_reshaped_only_rhs(a, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, c_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, beta, gemm_info));</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  }</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  {</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <a class="code" href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a>(<span class="stringliteral">"GEMMType not supported"</span>);</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  }</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  }</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span> </div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor< float > b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler.cpp:99</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a27561688e2fc60176608ef725a4ecb30"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a27561688e2fc60176608ef725a4ecb30">arm_compute::CLScheduler::target</a></div><div class="ttdeci">GPUTarget target() const</div><div class="ttdoc">Get the target GPU.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00047">CLScheduler.cpp:47</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#l00204">Error.h:204</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3161c2c93c655dd30953372064ec627b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">arm_compute::test::validation::alpha</a></div><div class="ttdeci">const float alpha</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">Accumulate.cpp:103</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a9561091f3566e78ad3aa39259bc4126a"><div class="ttname"><a href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_MSG(...)</div><div class="ttdoc">An error is returned with the given description.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00194">Error.h:194</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a735ac6c2a02e320969625308810444f3"><div class="ttname"><a href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">arm_compute::GPUTarget</a></div><div class="ttdeci">GPUTarget</div><div class="ttdoc">Available GPU Targets.</div><div class="ttdef"><b>Definition:</b> <a href="_g_p_u_target_8h_source.xhtml#l00034">GPUTarget.h:34</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1float__ops_xhtml_a3bd19352aed7410633d1f9b95d74a809"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1float__ops.xhtml#a3bd19352aed7410633d1f9b95d74a809">arm_compute::helpers::float_ops::is_zero</a></div><div class="ttdeci">bool is_zero(float a, float epsilon=0.00001f)</div><div class="ttdoc">Checks if the input floating point number is 0.0f checking if the difference is within a range define...</div><div class="ttdef"><b>Definition:</b> <a href="float__ops_8h_source.xhtml#l00109">float_ops.h:109</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">arm_compute::test::validation::alpha</a>, <a class="el" href="_error_8h_source.xhtml#l00194">ARM_COMPUTE_RETURN_ERROR_MSG</a>, <a class="el" href="_error_8h_source.xhtml#l00204">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">arm_compute::test::validation::b</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="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler::get()</a>, <a class="el" href="float__ops_8h_source.xhtml#l00109">arm_compute::helpers::float_ops::is_zero()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02070">GEMMInfo::reinterpret_input_as_3d()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02054">GEMMInfo::reshape_b_only_on_first_run()</a>, and <a class="el" href="_c_l_scheduler_8cpp_source.xhtml#l00047">CLScheduler::target()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml#l00537">CLGEMM::configure()</a>, <a class="el" href="_c_l_r_n_n_layer_8cpp_source.xhtml#l00044">CLRNNLayer::validate()</a>, <a class="el" href="_c_l_winograd_convolution_layer_8cpp_source.xhtml#l00149">CLWinogradConvolutionLayer::validate()</a>, <a class="el" href="_c_l_g_e_m_m_deconvolution_layer_8cpp_source.xhtml#l00093">CLGEMMDeconvolutionLayer::validate()</a>, and <a class="el" href="_c_l_l_s_t_m_layer_8cpp_source.xhtml#l00388">CLLSTMLayer::validate()</a>.</p> |
| |
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| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/runtime/CL/functions/<a class="el" href="_c_l_g_e_m_m_8h_source.xhtml">CLGEMM.h</a></li> |
| <li>src/runtime/CL/functions/<a class="el" href="_c_l_g_e_m_m_8cpp_source.xhtml">CLGEMM.cpp</a></li> |
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