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<title>Compute Library: NEGEMMMatrixVectorMultiplyKernel Class Reference</title>
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<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="#pub-static-methods">Static Public Member Functions</a> </div>
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<div class="title">NEGEMMMatrixVectorMultiplyKernel Class Reference</div> </div>
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<p>Interface for the GEMM matrix vector multiply kernel.
<a href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.h</a>&gt;</code></p>
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Collaboration diagram for NEGEMMMatrixVectorMultiplyKernel:</div>
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<div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel__coll__graph.svg" width="219" height="276"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
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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:ab5656bb5b6334bdbe6e606c715872828"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a> () const override</td></tr>
<tr class="memdesc:ab5656bb5b6334bdbe6e606c715872828"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of the kernel. <a href="#ab5656bb5b6334bdbe6e606c715872828">More...</a><br /></td></tr>
<tr class="separator:ab5656bb5b6334bdbe6e606c715872828"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a65033b645497768758fcf14d4d25eede"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a65033b645497768758fcf14d4d25eede">NEGEMMMatrixVectorMultiplyKernel</a> ()</td></tr>
<tr class="memdesc:a65033b645497768758fcf14d4d25eede"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor. <a href="#a65033b645497768758fcf14d4d25eede">More...</a><br /></td></tr>
<tr class="separator:a65033b645497768758fcf14d4d25eede"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a985536222215388a62670c8d57b05736"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a985536222215388a62670c8d57b05736">NEGEMMMatrixVectorMultiplyKernel</a> (const <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a985536222215388a62670c8d57b05736"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a985536222215388a62670c8d57b05736">More...</a><br /></td></tr>
<tr class="separator:a985536222215388a62670c8d57b05736"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae4d0d8ff6021bdee6922e6993042e7ae"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ae4d0d8ff6021bdee6922e6993042e7ae">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:ae4d0d8ff6021bdee6922e6993042e7ae"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#ae4d0d8ff6021bdee6922e6993042e7ae">More...</a><br /></td></tr>
<tr class="separator:ae4d0d8ff6021bdee6922e6993042e7ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aba228e2c66ccf497325f17d574ee9ec4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#aba228e2c66ccf497325f17d574ee9ec4">NEGEMMMatrixVectorMultiplyKernel</a> (<a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:aba228e2c66ccf497325f17d574ee9ec4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="#aba228e2c66ccf497325f17d574ee9ec4">More...</a><br /></td></tr>
<tr class="separator:aba228e2c66ccf497325f17d574ee9ec4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa31c613d796b81e7ea7abdf0bfe68291"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#aa31c613d796b81e7ea7abdf0bfe68291">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:aa31c613d796b81e7ea7abdf0bfe68291"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="#aa31c613d796b81e7ea7abdf0bfe68291">More...</a><br /></td></tr>
<tr class="separator:aa31c613d796b81e7ea7abdf0bfe68291"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a00d5b673b5a22ab77fde751ff5330411"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input0, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input1, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output)</td></tr>
<tr class="memdesc:a00d5b673b5a22ab77fde751ff5330411"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialise the kernel's input and output. <a href="#a00d5b673b5a22ab77fde751ff5330411">More...</a><br /></td></tr>
<tr class="separator:a00d5b673b5a22ab77fde751ff5330411"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a112b35dd205c62ea6ed1447ef226da82"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;info) override</td></tr>
<tr class="memdesc:a112b35dd205c62ea6ed1447ef226da82"><td class="mdescLeft">&#160;</td><td class="mdescRight">Execute the kernel on the passed window. <a href="#a112b35dd205c62ea6ed1447ef226da82">More...</a><br /></td></tr>
<tr class="separator:a112b35dd205c62ea6ed1447ef226da82"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a423f9a45a52983b4de5e2b347f4369c7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a> () const override</td></tr>
<tr class="memdesc:a423f9a45a52983b4de5e2b347f4369c7"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel. <a href="#a423f9a45a52983b4de5e2b347f4369c7">More...</a><br /></td></tr>
<tr class="separator:a423f9a45a52983b4de5e2b347f4369c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">ICPPSimpleKernel</a></td></tr>
<tr class="memitem:a3f46900690da1aee8ff395133f853cb4 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a3f46900690da1aee8ff395133f853cb4">ICPPSimpleKernel</a> ()</td></tr>
<tr class="memdesc:a3f46900690da1aee8ff395133f853cb4 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a3f46900690da1aee8ff395133f853cb4">More...</a><br /></td></tr>
<tr class="separator:a3f46900690da1aee8ff395133f853cb4 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad6c492d85c9a5f91cf905defb626db4f inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#ad6c492d85c9a5f91cf905defb626db4f">ICPPSimpleKernel</a> (const <a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">ICPPSimpleKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:ad6c492d85c9a5f91cf905defb626db4f inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#ad6c492d85c9a5f91cf905defb626db4f">More...</a><br /></td></tr>
<tr class="separator:ad6c492d85c9a5f91cf905defb626db4f inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4a631f6a74572e47d958c4c314406000 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">ICPPSimpleKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000">operator=</a> (const <a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">ICPPSimpleKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a4a631f6a74572e47d958c4c314406000 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000">More...</a><br /></td></tr>
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<tr class="memitem:a7a40bf323d5fa5e88fb2f6581c43af0c inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a7a40bf323d5fa5e88fb2f6581c43af0c">ICPPSimpleKernel</a> (<a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">ICPPSimpleKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:a7a40bf323d5fa5e88fb2f6581c43af0c inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a7a40bf323d5fa5e88fb2f6581c43af0c">More...</a><br /></td></tr>
<tr class="separator:a7a40bf323d5fa5e88fb2f6581c43af0c inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac0f362034a917ae5fdb8506ab0f1e036 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">ICPPSimpleKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#ac0f362034a917ae5fdb8506ab0f1e036">operator=</a> (<a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">ICPPSimpleKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:ac0f362034a917ae5fdb8506ab0f1e036 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#ac0f362034a917ae5fdb8506ab0f1e036">More...</a><br /></td></tr>
<tr class="separator:ac0f362034a917ae5fdb8506ab0f1e036 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a819c40bc2449e5c47178bb34680256b8 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a819c40bc2449e5c47178bb34680256b8">~ICPPSimpleKernel</a> ()=default</td></tr>
<tr class="memdesc:a819c40bc2449e5c47178bb34680256b8 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a819c40bc2449e5c47178bb34680256b8">More...</a><br /></td></tr>
<tr class="separator:a819c40bc2449e5c47178bb34680256b8 inherit pub_methods_classarm__compute_1_1_i_c_p_p_simple_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a></td></tr>
<tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr>
<tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr>
<tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr>
<tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr>
<tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
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<tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr>
<tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
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<tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr>
<tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr>
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<tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr>
<tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr>
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<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:a0d647d83c8512fa95fa9adb8fb3e0cab"><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_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input0, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output)</td></tr>
<tr class="memdesc:a0d647d83c8512fa95fa9adb8fb3e0cab"><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_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a>. <a href="#a0d647d83c8512fa95fa9adb8fb3e0cab">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Interface for the GEMM matrix vector multiply kernel. </p>
<p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h_source.xhtml#l00034">34</a> of file <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a65033b645497768758fcf14d4d25eede">&#9670;&nbsp;</a></span>NEGEMMMatrixVectorMultiplyKernel() <span class="overload">[1/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> </td>
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<p>Default constructor. </p>
<p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml#l00247">247</a> of file <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; : _func(<span class="keyword">nullptr</span>), _input0(<span class="keyword">nullptr</span>), _input1(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>), _border_size(0)</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;{</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a985536222215388a62670c8d57b05736">&#9670;&nbsp;</a></span>NEGEMMMatrixVectorMultiplyKernel() <span class="overload">[2/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> &amp;&#160;</td>
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<p>Prevent instances of this class from being copied (As this class contains pointers) </p>
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<h2 class="memtitle"><span class="permalink"><a href="#aba228e2c66ccf497325f17d574ee9ec4">&#9670;&nbsp;</a></span>NEGEMMMatrixVectorMultiplyKernel() <span class="overload">[3/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a> &amp;&amp;&#160;</td>
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<p>Allow instances of this class to be moved. </p>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a423f9a45a52983b4de5e2b347f4369c7">&#9670;&nbsp;</a></span>border_size()</h2>
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<td class="memname"><a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size </td>
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<p>The size of the border for that kernel. </p>
<dl class="section return"><dt>Returns</dt><dd>The width in number of elements of the border. </dd></dl>
<p>Reimplemented from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">IKernel</a>.</p>
<p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml#l00252">252</a> of file <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;{</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keywordflow">return</span> _border_size;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;}</div></div><!-- fragment -->
<p class="reference">Referenced by <a class="el" href="_n_e_depthwise_convolution_layer_8cpp_source.xhtml#l00711">NEDepthwiseConvolutionLayer::configure()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a00d5b673b5a22ab77fde751ff5330411">&#9670;&nbsp;</a></span>configure()</h2>
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<td class="memname">void configure </td>
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<p>Initialise the kernel's input and output. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">input0</td><td>First Input tensor. Data types supported: QASYMM8/F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input1</td><td>Second Input tensor. Data types supported: same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Output tensor which stores the interleaved matrix. Data type supported: same as <code>input</code>, S32 for QASYMM8 input. </td></tr>
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<p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml#l00257">257</a> of file <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;{</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input0, input1, output);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()));</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; _input0 = input0;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; _input1 = input1;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; _output = output;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="comment">// Set appropriate function to run</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keywordflow">switch</span>(input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>())</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; {</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; _func = &amp;NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply&lt;uint8_t, uint8_t, int32_t&gt;;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160;<span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; _func = &amp;NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply&lt;half, half, half&gt;;</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; _func = &amp;NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply&lt;float, float, float&gt;;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Unsupported data type&quot;</span>);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; }</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_elems_read_per_iteration = 16 / _input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">element_size</a>();</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> border_x = <a class="code" href="namespacearm__compute.xhtml#ab237a0a375cf382d52b61653248d3d4a">ceil_to_multiple</a>(input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0), num_elems_read_per_iteration) - input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; _border_size = <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>(0, border_x);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="keyword">auto</span> win_config = <a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>());</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(win_config.first);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; INEKernel::configure(win_config.second);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</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#l00261">Error.h:261</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension.</div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00259">Types.h:259</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad6630777dc2d315531f1e0b02491051f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">arm_compute::validate_and_configure_window</a></div><div class="ttdeci">std::pair&lt; Status, Window &gt; validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &amp;conv_info, unsigned int depth_multiplier, const Size2D &amp;dilation)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">NEDepthwiseConvolutionLayerNativeKernel.cpp:221</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div>
<div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00327">Error.h:327</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab237a0a375cf382d52b61653248d3d4a"><div class="ttname"><a href="namespacearm__compute.xhtml#ab237a0a375cf382d52b61653248d3d4a">arm_compute::ceil_to_multiple</a></div><div class="ttdeci">auto ceil_to_multiple(S value, T divisor) -&gt; decltype(((value+divisor - 1)/divisor) *divisor)</div><div class="ttdoc">Computes the smallest number larger or equal to value that is a multiple of divisor.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00066">Utils.h:66</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_aa459796b5489eca8a9160cb5dcf1a103"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">arm_compute::ITensorInfo::element_size</a></div><div class="ttdeci">virtual size_t element_size() const =0</div><div class="ttdoc">Element size in bytes calculated as data_size() * num_channels()</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>
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<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00261">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#l00327">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l00066">arm_compute::ceil_to_multiple()</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="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">ITensorInfo::element_size()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::QASYMM8</a>, and <a class="el" href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">arm_compute::validate_and_configure_window()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_n_e_depthwise_convolution_layer_8cpp_source.xhtml#l00711">NEDepthwiseConvolutionLayer::configure()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#ab5656bb5b6334bdbe6e606c715872828">&#9670;&nbsp;</a></span>name()</h2>
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<td class="memname">const char* name </td>
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<p>Name of the kernel. </p>
<dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class.">Kernel</a> name </dd></dl>
<p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>.</p>
<p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h_source.xhtml#l00037">37</a> of file <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.h</a>.</p>
<div class="fragment"><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordflow">return</span> <span class="stringliteral">&quot;NEGEMMMatrixVectorMultiplyKernel&quot;</span>;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#ae4d0d8ff6021bdee6922e6993042e7ae">&#9670;&nbsp;</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_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a>&amp; operator= </td>
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<p>Prevent instances of this class from being copied (As this class contains pointers) </p>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a>&amp; operator= </td>
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<p>Allow instances of this class to be moved. </p>
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<td class="memname">void run </td>
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<p>Execute the kernel on the passed window. </p>
<dl class="section warning"><dt>Warning</dt><dd>If <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b" title="Indicates whether or not the kernel is parallelisable.">is_parallelisable()</a> returns false then the passed window must be equal to <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a></dd></dl>
<dl class="section note"><dt>Note</dt><dd>The window has to be a region within the window returned by the <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a> method</dd>
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The width of the window has to be a multiple of num_elems_processed_per_iteration().</dd></dl>
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<tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Info about executing thread and CPU. </td></tr>
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<p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">ICPPKernel</a>.</p>
<p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml#l00304">304</a> of file <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;{</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">INEKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window_slice = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window_in(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window_weights(window_slice);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window_out(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="comment">// Setup input0 slice</span></div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; window_in.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, _input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0), _input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0)));</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; window_in.set(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, _input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1), 1));</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; window_in.set(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, _input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2), 1));</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <span class="comment">// Setup input1 and output slice. Their dimensions are increased in the kernel.</span></div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; window_weights.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; window_weights.set(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; window_weights.set(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; window_out.set(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; window_out.set(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; window_out.set(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <span class="keywordflow">if</span>(_func != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; {</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; (this-&gt;*_func)(window_in, window_weights, window_out);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window &amp; window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension.</div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a></div><div class="ttdoc">Describe one of the image's dimensions with a start, end and step.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00075">Window.h:75</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a893d17b56b9abc4423ce26e9a24ac5dc"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a></div><div class="ttdeci">static constexpr size_t DimZ</div><div class="ttdoc">Alias for dimension 2 also known as Z dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00047">Window.h:47</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a30ca5bdbb60ee281d7f1ab34f7a4ee40"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">arm_compute::Window::first_slice_window_3D</a></div><div class="ttdeci">Window first_slice_window_3D() const</div><div class="ttdoc">First 3D slice of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00275">Window.h:275</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00940">Validate.h:940</a></div></div>
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<p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00205">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>, <a class="el" href="_validate_8h_source.xhtml#l00940">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_error_8h_source.xhtml#l00160">ARM_COMPUTE_UNUSED</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="_window_8h_source.xhtml#l00043">Window::DimX</a>, <a class="el" href="_window_8h_source.xhtml#l00045">Window::DimY</a>, <a class="el" href="_window_8h_source.xhtml#l00047">Window::DimZ</a>, <a class="el" href="_window_8h_source.xhtml#l00275">Window::first_slice_window_3D()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::info</a>, <a class="el" href="_window_8inl_source.xhtml#l00048">Window::set()</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a0d647d83c8512fa95fa9adb8fb3e0cab">&#9670;&nbsp;</a></span>validate()</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
<td class="paramname"><em>input0</em>, </td>
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<td></td>
<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
<td class="paramname"><em>input1</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
<td class="paramname"><em>output</em>&#160;</td>
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<td>)</td>
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<p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a>. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">input0</td><td>First Input tensor. Data types supported: QASYMM8/F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input1</td><td>Second Input tensor. Data types supported: same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Output tensor which stores the interleaved matrix. Data type supported: same as <code>input</code>, S32 for QASYMM8 input.</td></tr>
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<dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
<p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml#l00296">296</a> of file <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160;{</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <a class="code" href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a>(input0, input1, output);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(input0, input1, output));</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(<a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(input0-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), input1-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), output-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get()).first);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_ad6630777dc2d315531f1e0b02491051f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">arm_compute::validate_and_configure_window</a></div><div class="ttdeci">std::pair&lt; Status, Window &gt; validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &amp;conv_info, unsigned int depth_multiplier, const Size2D &amp;dilation)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">NEDepthwiseConvolutionLayerNativeKernel.cpp:221</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00193">Error.h:193</a></div></div>
<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1misc_1_1_i_cloneable_xhtml_a4d10e5012a872e7f78f2b539b673049d"><div class="ttname"><a href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">arm_compute::misc::ICloneable::clone</a></div><div class="ttdeci">virtual std::unique_ptr&lt; T &gt; clone() const =0</div><div class="ttdoc">Provide a clone of the current object of class T.</div></div>
<div class="ttc" id="_validate_8h_xhtml_aff911654521523937ff24372a870b89f"><div class="ttname"><a href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00163">Validate.h:163</a></div></div>
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<p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00163">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00193">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable&lt; T &gt;::clone()</a>, and <a class="el" href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">arm_compute::validate_and_configure_window()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_n_e_depthwise_convolution_layer_8cpp_source.xhtml#l00858">NEDepthwiseConvolutionLayer::validate()</a>.</p>
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<hr/>The documentation for this class was generated from the following files:<ul>
<li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.h</a></li>
<li>src/core/NEON/kernels/<a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8cpp_source.xhtml">NEGEMMMatrixVectorMultiplyKernel.cpp</a></li>
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<li class="footer">Generated on Mon Sep 2 2019 11:47:37 for Compute Library by
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