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| <title>Compute Library: NEGEMMLowpOffsetContributionOutputStageKernel Class Reference</title> |
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| <div class="title">NEGEMMLowpOffsetContributionOutputStageKernel Class Reference</div> </div> |
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| <p>NEON kernel used to add the offset contribution and perform the output stage after <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">NEGEMMLowpMatrixMultiplyKernel</a>. |
| <a href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8h_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for NEGEMMLowpOffsetContributionOutputStageKernel:</div> |
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| <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel__coll__graph.svg" width="239" height="202"><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-types"></a> |
| Public Types</h2></td></tr> |
| <tr class="memitem:adb79bb3ad15444f00b55b35f1d6e16b7"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#adb79bb3ad15444f00b55b35f1d6e16b7">NEGEMMLowpOffsetContributionOutputStageFunction</a> = std::function< void(const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a>, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, int32_t, int32_t, int32_t, bool, <a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml">GEMMLowpOutputStageInfo</a>)></td></tr> |
| <tr class="separator:adb79bb3ad15444f00b55b35f1d6e16b7"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><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 * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a> () const override</td></tr> |
| <tr class="memdesc:ab5656bb5b6334bdbe6e606c715872828"><td class="mdescLeft"> </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"> </td></tr> |
| <tr class="memitem:a2851f631e9660a4dd9644cb749282723"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a2851f631e9660a4dd9644cb749282723">NEGEMMLowpOffsetContributionOutputStageKernel</a> ()</td></tr> |
| <tr class="memdesc:a2851f631e9660a4dd9644cb749282723"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a2851f631e9660a4dd9644cb749282723">More...</a><br /></td></tr> |
| <tr class="separator:a2851f631e9660a4dd9644cb749282723"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a06ecfbcd84e278efe7305e47f996befd"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a06ecfbcd84e278efe7305e47f996befd">NEGEMMLowpOffsetContributionOutputStageKernel</a> (const <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a06ecfbcd84e278efe7305e47f996befd"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a06ecfbcd84e278efe7305e47f996befd">More...</a><br /></td></tr> |
| <tr class="separator:a06ecfbcd84e278efe7305e47f996befd"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adbf0774f0ddecd71e3a37b11a1f76998"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#adbf0774f0ddecd71e3a37b11a1f76998">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:adbf0774f0ddecd71e3a37b11a1f76998"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#adbf0774f0ddecd71e3a37b11a1f76998">More...</a><br /></td></tr> |
| <tr class="separator:adbf0774f0ddecd71e3a37b11a1f76998"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1f3daabb9fa6cc420456de1a25de6200"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a1f3daabb9fa6cc420456de1a25de6200">NEGEMMLowpOffsetContributionOutputStageKernel</a> (<a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a1f3daabb9fa6cc420456de1a25de6200"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a1f3daabb9fa6cc420456de1a25de6200">More...</a><br /></td></tr> |
| <tr class="separator:a1f3daabb9fa6cc420456de1a25de6200"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af5b5d293aabb6e876154c73bdf1cffac"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#af5b5d293aabb6e876154c73bdf1cffac">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:af5b5d293aabb6e876154c73bdf1cffac"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#af5b5d293aabb6e876154c73bdf1cffac">More...</a><br /></td></tr> |
| <tr class="separator:af5b5d293aabb6e876154c73bdf1cffac"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a97ebe5c0444a53d58d9b9f079ebe2d0f"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a97ebe5c0444a53d58d9b9f079ebe2d0f">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *mm_result, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *vector_sum_col, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *vector_sum_row, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *bias, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, int32_t k, int32_t a_offset, int32_t b_offset, <a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml">GEMMLowpOutputStageInfo</a> output_stage)</td></tr> |
| <tr class="memdesc:a97ebe5c0444a53d58d9b9f079ebe2d0f"><td class="mdescLeft"> </td><td class="mdescRight">Initialise the kernel's input and output. <a href="#a97ebe5c0444a53d58d9b9f079ebe2d0f">More...</a><br /></td></tr> |
| <tr class="separator:a97ebe5c0444a53d58d9b9f079ebe2d0f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a112b35dd205c62ea6ed1447ef226da82"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &info) override</td></tr> |
| <tr class="memdesc:a112b35dd205c62ea6ed1447ef226da82"><td class="mdescLeft"> </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"> </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="-"/> 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 </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"> </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"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr> |
| <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr> |
| <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr> |
| <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr> |
| <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr> |
| <tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr> |
| <tr class="separator:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">border_size</a> () const</td></tr> |
| <tr class="memdesc:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The size of the border for that kernel. <a href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">More...</a><br /></td></tr> |
| <tr class="separator:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr> |
| <tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr> |
| <tr class="separator:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><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:a6296f2754011b2221b343ccedfc0ba35"><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_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a6296f2754011b2221b343ccedfc0ba35">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *mm_result, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *vector_sum_col, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *vector_sum_row, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *bias, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, int32_t a_offset, int32_t b_offset, <a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml">GEMMLowpOutputStageInfo</a> output_stage)</td></tr> |
| <tr class="memdesc:a6296f2754011b2221b343ccedfc0ba35"><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_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a>. <a href="#a6296f2754011b2221b343ccedfc0ba35">More...</a><br /></td></tr> |
| <tr class="separator:a6296f2754011b2221b343ccedfc0ba35"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>NEON kernel used to add the offset contribution and perform the output stage after <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">NEGEMMLowpMatrixMultiplyKernel</a>. </p> |
| <p>The computation is performed in-place</p> |
| <p>This kernel takes a final int32 accumulator value (the output of <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">NEGEMMLowpMatrixMultiplyKernel</a>), and adds to it the offset contribution of matrix A and matrix B in-place.</p> |
| <p>The output stage can perform either QuantizeDownInt32ToUint8Scale or QuantizeDownInt32ToUint8ScaleByFixedPoint for Uint8. The output stage can perform either QuantizeDownInt32ToInt8Scale or QuantizeDownInt32ToInt8ScaleByFixedPoint for Int8.</p> |
| <p>For QuantizeDownInt32ToUint8Scale/QuantizeDownInt32ToInt8Scale the final result is:</p> |
| <p>((mm_result'[i][k] + result_offset) * result_mult_int) >> result_shift</p> |
| <p>For QuantizeDownInt32ToUint8ScaleByFixedPoint/QuantizeDownInt32ToInt8ScaleByFixedPoint the final result is:</p> |
| <p>(FixedPointMul(mm_result'[i][k], result_fixedpoint_multiplier) >> result_shift) + result_offset_after_shift</p> |
| <p>where FixedPointMul(x, y) is the nearest integer to the following mathematical expression, evaluated without overflow or intermediate rounding:</p> |
| <p>(x * y) / 2^31</p> |
| <p>and mm_result'[i][k] = mm_result[i][k] + (vector_sum_col[k] * a_offset) + (vector_sum_row[i] * b_offset) + (a_offset * b_offset * k) </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8h_source.xhtml#l00062">62</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8h_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.h</a>.</p> |
| </div><h2 class="groupheader">Member Typedef Documentation</h2> |
| <a id="adb79bb3ad15444f00b55b35f1d6e16b7"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adb79bb3ad15444f00b55b35f1d6e16b7">◆ </a></span>NEGEMMLowpOffsetContributionOutputStageFunction</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
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| <td class="memname">using <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#adb79bb3ad15444f00b55b35f1d6e16b7">NEGEMMLowpOffsetContributionOutputStageFunction</a> = std::function<void(const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a>, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *, int32_t, int32_t, int32_t, bool, <a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml">GEMMLowpOutputStageInfo</a>)></td> |
| </tr> |
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| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8h_source.xhtml#l00119">119</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8h_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.h</a>.</p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a2851f631e9660a4dd9644cb749282723"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a2851f631e9660a4dd9644cb749282723">◆ </a></span>NEGEMMLowpOffsetContributionOutputStageKernel() <span class="overload">[1/3]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Constructor. </p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp_source.xhtml#l00943">943</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  : _function(<span class="keyword">nullptr</span>), _vector_sum_col(<span class="keyword">nullptr</span>), _vector_sum_row(<span class="keyword">nullptr</span>), _bias(<span class="keyword">nullptr</span>), _mm_result(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>), _a_offset(0), _b_offset(0), _k_offset(0), _slide_vector_sum_col(<span class="keyword">true</span>),</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  _output_stage(GEMMLowpOutputStageInfo())</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span> </div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span> {</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a06ecfbcd84e278efe7305e47f996befd"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a06ecfbcd84e278efe7305e47f996befd">◆ </a></span>NEGEMMLowpOffsetContributionOutputStageKernel() <span class="overload">[2/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| </div> |
| </div> |
| <a id="a1f3daabb9fa6cc420456de1a25de6200"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1f3daabb9fa6cc420456de1a25de6200">◆ </a></span>NEGEMMLowpOffsetContributionOutputStageKernel() <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_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Allow instances of this class to be moved. </p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a97ebe5c0444a53d58d9b9f079ebe2d0f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a97ebe5c0444a53d58d9b9f079ebe2d0f">◆ </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_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>mm_result</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>vector_sum_col</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>vector_sum_row</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>bias</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>k</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>a_offset</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>b_offset</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml">GEMMLowpOutputStageInfo</a> </td> |
| <td class="paramname"><em>output_stage</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Initialise the kernel's input and output. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">mm_result</td><td>Input tensor containing the result of <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">NEGEMMLowpMatrixMultiplyKernel</a>. Data type supported: S32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">vector_sum_col</td><td>Input row-vector of sums of all the entries in each column of matrix B. Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as <code>mm_result</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">vector_sum_row</td><td>Input row-vector of sums of all the entries in each row of matrix A. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as <code>mm_result</code>. </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Output tensor containing the final quantized result. Data type supported: QASYMM8/QASYMM8_SIGNED </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">k</td><td>Number of matrix A columns or Matrix B rows </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">a_offset</td><td>Offset to be added to each element of the matrix A. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">b_offset</td><td>Offset to be added to each element of the matrix B. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output_stage</td><td>GEMMLowp output stage info, providing the type of quantization and the necessary parameters. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp_source.xhtml#l00950">950</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00954"></a><span class="lineno"> 954</span> {</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  <span class="comment">// Perform validate step</span></div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(mm_result, output);</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span> </div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(mm_result->info(),</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  vector_sum_col != <span class="keyword">nullptr</span> ? vector_sum_col->info() : <span class="keyword">nullptr</span>, <span class="comment">// NOLINT</span></div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  vector_sum_row != <span class="keyword">nullptr</span> ? vector_sum_row->info() : <span class="keyword">nullptr</span>, <span class="comment">// NOLINT</span></div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> != <span class="keyword">nullptr</span> ? <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>() : <span class="keyword">nullptr</span>, <span class="comment">// NOLINT</span></div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  output->info(), a_offset, b_offset, output_stage)); <span class="comment">// NOLINT</span></div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span> </div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  _vector_sum_col = vector_sum_col;</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  _vector_sum_row = vector_sum_row;</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  _bias = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  _mm_result = mm_result;</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  _output = output;</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  _a_offset = a_offset;</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  _b_offset = b_offset;</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  _k_offset = a_offset * b_offset * k;</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  _output_stage = output_stage;</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span> </div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  <span class="comment">// If a_offset == 0, vector_sum_col can be a nullptr</span></div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  <span class="keywordflow">if</span>(a_offset != 0)</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  {</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="comment">// Check if vector_sum_col_shape should be slidden or not</span></div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  <span class="comment">// Don't slide vector_sum_col_shape along the y dimension if vector_sum_col_shape has just 1 dimension and vector_sum_row_shape more than 1</span></div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <span class="comment">// This scenario can happen when the the matrix multiplication is used to perform a convolution operation</span></div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  _slide_vector_sum_col = vector_sum_col->info()->tensor_shape().num_dimensions() > 1;</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  }</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span> </div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <span class="keyword">auto</span> win_config = validate_and_configure_window(mm_result->info(), output->info());</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(win_config.first);</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  INEKernel::configure(win_config.second);</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span> </div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  _function = get_configured_function(mm_result, vector_sum_row, output, output_stage);</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor.cpp:41</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_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">ConvolutionLayer.cpp:189</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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00455">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">arm_compute::test::validation::bias</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor::info()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions< T >::num_dimensions()</a>, and <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_n_e_g_e_m_m_lowp_matrix_multiply_core_8cpp_source.xhtml#l00051">NEGEMMLowpMatrixMultiplyCore::configure()</a>.</p> |
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| </div> |
| </div> |
| <a id="ab5656bb5b6334bdbe6e606c715872828"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab5656bb5b6334bdbe6e606c715872828">◆ </a></span>name()</h2> |
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| <div class="memitem"> |
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| <td class="mlabels-left"> |
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| <td class="memname">const char* name </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </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> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8h_source.xhtml#l00065">65</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8h_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> <span class="stringliteral">"NEGEMMLowpOffsetContributionOutputStageKernel"</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div></div><!-- fragment --> |
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| <a id="adbf0774f0ddecd71e3a37b11a1f76998"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adbf0774f0ddecd71e3a37b11a1f76998">◆ </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_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</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="af5b5d293aabb6e876154c73bdf1cffac"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af5b5d293aabb6e876154c73bdf1cffac">◆ </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_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</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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| <p>Allow instances of this class to be moved. </p> |
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| </div> |
| <a id="a112b35dd205c62ea6ed1447ef226da82"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a112b35dd205c62ea6ed1447ef226da82">◆ </a></span>run()</h2> |
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| <td class="memname">void run </td> |
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| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
| <td class="paramname"><em>window</em>, </td> |
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| <td class="paramtype">const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> & </td> |
| <td class="paramname"><em>info</em> </td> |
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| <td>)</td> |
| <td></td><td></td> |
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| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </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> |
| <dd> |
| The width of the window has to be a multiple of <a class="el" href="_c_l_im2_col_kernel_8cpp.xhtml#a4e45c1f5e4280813a78a77dda71d8799">num_elems_processed_per_iteration()</a>.</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a 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> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp_source.xhtml#l01001">1001</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span> {</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  <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="l01004"></a><span class="lineno"> 1004</span>  <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">INEKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  _function(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, _mm_result, _vector_sum_col, _vector_sum_row, _bias, _output, _a_offset, _b_offset, _k_offset, _slide_vector_sum_col, _output_stage);</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span> }</div><div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div> |
| <div class="ttc" id="_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#l00152">Error.h:152</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="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</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="_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#l00941">Validate.h:941</a></div></div> |
| </div><!-- fragment --> |
| <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#l00941">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">arm_compute::test::validation::info</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p> |
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| <a id="a6296f2754011b2221b343ccedfc0ba35"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6296f2754011b2221b343ccedfc0ba35">◆ </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> * </td> |
| <td class="paramname"><em>mm_result</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>vector_sum_col</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>vector_sum_row</em>, </td> |
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| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>bias</em>, </td> |
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| <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> |
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| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>a_offset</em>, </td> |
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| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>b_offset</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml">GEMMLowpOutputStageInfo</a> </td> |
| <td class="paramname"><em>output_stage</em> </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_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">mm_result</td><td>Input tensor info containing the result of <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">NEGEMMLowpMatrixMultiplyKernel</a>. Data type supported: S32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">vector_sum_col</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> info for the input row-vector of sums of all the entries in each column of matrix B. Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as <code>mm_result</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">vector_sum_row</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> info for the input row-vector of sums of all the entries in each row of matrix A. Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as <code>mm_result</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>Biases tensor info. Only shared biases supported and it can be a nullptr if the addition of biases is not required. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as <code>mm_result</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Output tensor info containing the final quantized result. Data type supported: QASYMM8/QASYMM8_SIGNED </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">a_offset</td><td>Offset to be added to each element of the matrix A. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">b_offset</td><td>Offset to be added to each element of the matrix B. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output_stage</td><td>GEMMLowp output stage info, providing the type of quantization and the necessary parameters.</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="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp_source.xhtml#l00991">991</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00994"></a><span class="lineno"> 994</span> {</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(mm_result, output);</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(mm_result, vector_sum_col, vector_sum_row, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, output, a_offset, b_offset, output_stage));</div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_and_configure_window(mm_result->clone().get(), output->clone().get()).first);</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span> }</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_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">ConvolutionLayer.cpp:189</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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00204">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">arm_compute::test::validation::bias</a>, and <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable< T >::clone()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_g_e_m_m_lowp_matrix_multiply_core_8cpp_source.xhtml#l00281">NEGEMMLowpMatrixMultiplyCore::validate()</a>.</p> |
| |
| </div> |
| </div> |
| <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_lowp_offset_contribution_output_stage_kernel_8h_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.h</a></li> |
| <li>src/core/NEON/kernels/<a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp_source.xhtml">NEGEMMLowpOffsetContributionOutputStageKernel.cpp</a></li> |
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