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| <a href="#pub-methods">Public Member Functions</a> | |
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| <div class="title">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint Class Reference</div> </div> |
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| |
| <p>Basic function to execute <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml" title="Basic function to execute NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint on NEON.">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint</a> on NEON. |
| <a href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_g_e_m_m_lowp_output_stage_8h_source.xhtml">NEGEMMLowpOutputStage.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint:</div> |
| <div class="dyncontent"> |
| <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point__coll__graph.svg" width="247" height="202"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe> |
| </div> |
| <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div> |
| <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:a9056f370ad254c13fd11c85998e46911"><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_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml#a9056f370ad254c13fd11c85998e46911">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, 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, int result_fixedpoint_multiplier, int result_shift, int min=0, int max=0)</td></tr> |
| <tr class="memdesc:a9056f370ad254c13fd11c85998e46911"><td class="mdescLeft"> </td><td class="mdescRight">Initialise the kernel's inputs, output. <a href="#a9056f370ad254c13fd11c85998e46911">More...</a><br /></td></tr> |
| <tr class="separator:a9056f370ad254c13fd11c85998e46911"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_n_e_simple_function_no_border"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_n_e_simple_function_no_border')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml">INESimpleFunctionNoBorder</a></td></tr> |
| <tr class="memitem:a0e0883eaf5a047ad7a5eb791dfe3a7f5 inherit pub_methods_classarm__compute_1_1_i_n_e_simple_function_no_border"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a0e0883eaf5a047ad7a5eb791dfe3a7f5">INESimpleFunctionNoBorder</a> ()</td></tr> |
| <tr class="memdesc:a0e0883eaf5a047ad7a5eb791dfe3a7f5 inherit pub_methods_classarm__compute_1_1_i_n_e_simple_function_no_border"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a0e0883eaf5a047ad7a5eb791dfe3a7f5">More...</a><br /></td></tr> |
| <tr class="separator:a0e0883eaf5a047ad7a5eb791dfe3a7f5 inherit pub_methods_classarm__compute_1_1_i_n_e_simple_function_no_border"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a92fe532c342ae2b07956a65520c05362 inherit pub_methods_classarm__compute_1_1_i_n_e_simple_function_no_border"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a92fe532c342ae2b07956a65520c05362">run</a> () override final</td></tr> |
| <tr class="memdesc:a92fe532c342ae2b07956a65520c05362 inherit pub_methods_classarm__compute_1_1_i_n_e_simple_function_no_border"><td class="mdescLeft"> </td><td class="mdescRight">Run the kernels contained in the function. <a href="classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a92fe532c342ae2b07956a65520c05362">More...</a><br /></td></tr> |
| <tr class="separator:a92fe532c342ae2b07956a65520c05362 inherit pub_methods_classarm__compute_1_1_i_n_e_simple_function_no_border"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_function"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_function')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr> |
| <tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr> |
| <tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr> |
| <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr> |
| <tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr> |
| <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a> |
| Static Public Member Functions</h2></td></tr> |
| <tr class="memitem:aee63e7671cf04d15be2da1b83d90e61b"><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_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, 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, int min=0, int max=0)</td></tr> |
| <tr class="memdesc:aee63e7671cf04d15be2da1b83d90e61b"><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_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a>. <a href="#aee63e7671cf04d15be2da1b83d90e61b">More...</a><br /></td></tr> |
| <tr class="separator:aee63e7671cf04d15be2da1b83d90e61b"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Basic function to execute <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml" title="Basic function to execute NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint on NEON.">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint</a> on NEON. </p> |
| <p><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml" title="Basic function to execute NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint on NEON.">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint</a> depends on 2 parameters:</p> |
| <p>result_fixedpoint_multiplier, result_shift</p> |
| <p>The final result is:</p> |
| <p>(FixedPointMul(input[i][k], result_fixedpoint_multiplier) >> result_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>For more information: <a href="https://github.com/google/gemmlowp/blob/master/public/output_stages.h#L68">https://github.com/google/gemmlowp/blob/master/public/output_stages.h#L68</a></p> |
| <p>In case the bias tensor is provided, the final result is:</p> |
| <p>((FixedPointMul(input[i][k] + bias[k], result_fixedpoint_multiplier)) >> result_shift) + result_offset_after_shift</p> |
| <p>This function calls the following NEON kernels:</p> |
| <ol type="1"> |
| <li><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel.xhtml">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel</a></li> |
| </ol> |
| <dl class="section note"><dt>Note</dt><dd>The function accepts also 2 optional input arguments (min and max) which can be used to implement "rectified linear unit" activation functions after the result is shifted right by result_shift </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_lowp_output_stage_8h_source.xhtml#l00178">178</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_output_stage_8h_source.xhtml">NEGEMMLowpOutputStage.h</a>.</p> |
| </div><h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a9056f370ad254c13fd11c85998e46911"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9056f370ad254c13fd11c85998e46911">◆ </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>input</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">int </td> |
| <td class="paramname"><em>result_fixedpoint_multiplier</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>result_shift</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>min</em> = <code>0</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>max</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialise the kernel's inputs, output. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Input tensor. Data type supported: S32 </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 biases addition is not required. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Output tensor. Data type supported: Data type supported: QSYMM16 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">result_fixedpoint_multiplier</td><td>Fixed point value to be multiplied to each element of the input matrix when once the result_offset has been add </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">result_shift</td><td>Number of bits to shift right the result after the fixed point multiplication </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">min</td><td>(Optional) Min value used to saturate down the output result before converting back to QSYMM16. Defaults to 0. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">max</td><td>(Optional) Max value used to saturate up the output result before converting back to QSYMM16. Along with <code>min</code>, this value can be used to implement "rectified linear unit" activation functions. Defaults to 0. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_g_e_m_m_lowp_output_stage_8cpp_source.xhtml#l00059">59</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_output_stage_8cpp_source.xhtml">NEGEMMLowpOutputStage.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">auto</span> k = arm_compute::support::cpp14::make_unique<NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel>();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  k->configure(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, output, result_fixedpoint_multiplier, result_shift, min, max);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  _kernel = std::move(k);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> }</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="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00181">ConvolutionLayer.cpp:181</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00181">arm_compute::test::validation::bias</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00057">NELSTMLayerQuantized::configure()</a>, and <a class="el" href="validation_2_n_e_o_n_2_g_e_m_m_lowp_8cpp_source.xhtml#l00461">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="aee63e7671cf04d15be2da1b83d90e61b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aee63e7671cf04d15be2da1b83d90e61b">◆ </a></span>validate()</h2> |
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| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>bias</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>min</em> = <code>0</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>max</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Input tensor info. It is the output of <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml">NEGEMMLowpMatrixMultiplyCore</a> function. Data type supported: S32 </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>input</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Output tensor info. Data type supported: Data type supported: QSYMM16 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">min</td><td>(Optional) Min value used to saturate down the output result before converting back to QSYMM16. Defaults to 0. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">max</td><td>(Optional) Max value used to saturate up the output result before converting back to QSYMM16, Along with <code>min</code>, this value can be used to implement "rectified linear unit" activation functions. Defaults to 0.</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_output_stage_8cpp_source.xhtml#l00066">66</a> of file <a class="el" href="_n_e_g_e_m_m_lowp_output_stage_8cpp_source.xhtml">NEGEMMLowpOutputStage.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::validate</a>(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, output, min, max);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> }</div><div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel_xhtml_aee63e7671cf04d15be2da1b83d90e61b"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b">arm_compute::NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min=0, int max=0)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEGEMMLowpQuantizeDownIn...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel_8cpp_source.xhtml#l00220">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.cpp:220</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="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00181">ConvolutionLayer.cpp:181</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00181">arm_compute::test::validation::bias</a>, and <a class="el" href="_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel_8cpp_source.xhtml#l00220">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::validate()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00236">NELSTMLayerQuantized::validate()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_g_e_m_m_lowp_output_stage_8h_source.xhtml">NEGEMMLowpOutputStage.h</a></li> |
| <li>src/runtime/NEON/functions/<a class="el" href="_n_e_g_e_m_m_lowp_output_stage_8cpp_source.xhtml">NEGEMMLowpOutputStage.cpp</a></li> |
| </ul> |
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