arm_compute v20.02
diff --git a/documentation/functions_func_r.xhtml b/documentation/functions_func_r.xhtml
index 5f57b92..025c02c 100644
--- a/documentation/functions_func_r.xhtml
+++ b/documentation/functions_func_r.xhtml
@@ -40,7 +40,7 @@
<img alt="Compute Library" src="https://raw.githubusercontent.com/ARM-software/ComputeLibrary/gh-pages/ACL_logo.png" style="max-width: 100%;margin-top: 15px;margin-left: 10px"/>
<td style="padding-left: 0.5em;">
<div id="projectname">
-  <span id="projectnumber">19.11.1</span>
+  <span id="projectnumber">20.02</span>
</div>
</td>
</tr>
@@ -292,6 +292,7 @@
: <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLAbsoluteDifferenceKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLActivationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_arg_min_max_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLArgMinMaxLayer</a>
+, <a class="el" href="classarm__compute_1_1_c_l_arg_min_max_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLArgMinMaxLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_batch_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBatchConcatenateLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLBatchNormalizationLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBatchNormalizationLayerKernel</a>
@@ -325,7 +326,6 @@
, <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDeconvolutionLayerUpsampleKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_deconvolution_reshape_output_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDeconvolutionReshapeOutputKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthConcatenateLayerKernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_depth_to_space_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDepthToSpaceLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_depth_to_space_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthToSpaceLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDepthwiseConvolutionLayer3x3</a>
, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseConvolutionLayer3x3NCHWKernel</a>
@@ -376,6 +376,7 @@
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpOffsetContributionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpOffsetContributionOutputStageKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int8_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
@@ -432,7 +433,6 @@
, <a class="el" href="classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLMinMaxLocationKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLNormalizationLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLNormalizationLayerKernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLNormalizePlanarYUVLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLNormalizePlanarYUVLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb">CLOpticalFlow</a>
, <a class="el" href="classarm__compute_1_1_c_l_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLPadLayer</a>
@@ -539,7 +539,6 @@
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_convolution_batch_normalization_function.xhtml#a13a43e6d814de94978c515cb084873b1">FusedConvolutionBatchNormalizationFunction< TargetInfo, FusedLayerTypes ></a>
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a13a43e6d814de94978c515cb084873b1">FusedDepthwiseConvolutionBatchNormalizationFunction< TargetInfo, FusedLayerTypes ></a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a13a43e6d814de94978c515cb084873b1">Stream</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8eca648ee39ca1381dfb511c11b31d96">PassManager</a>
, <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51">ICLKernel</a>
, <a class="el" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">ICLSimple2DKernel</a>
, <a class="el" href="classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">ICLSimple3DKernel</a>
@@ -657,6 +656,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpOffsetContributionKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpOffsetContributionOutputStageKernel</a>
, <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#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int8_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMMatrixAccumulateBiasesKernel</a>
@@ -779,14 +779,20 @@
<li>run_all()
: <a class="el" href="classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8ff5886e2e39da2a4db7029e8dc143e2">PassManager</a>
</li>
+<li>run_index()
+: <a class="el" href="classarm__compute_1_1graph_1_1_pass_manager.xhtml#aee07cca18f9803c8a91646abb295ae32">PassManager</a>
+</li>
<li>run_nmslimit()
: <a class="el" href="classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a09b1eba6110aafce761e0e12d79cd12b">CPPBoxWithNonMaximaSuppressionLimitKernel</a>
</li>
<li>run_tagged_workloads()
: <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a3becf955da8cad5036399bcb90f1408d">IScheduler</a>
</li>
+<li>run_type()
+: <a class="el" href="classarm__compute_1_1graph_1_1_pass_manager.xhtml#ab57851a9f89c93f5dde79dd7fdabb105">PassManager</a>
+</li>
<li>RuntimeContext()
-: <a class="el" href="classarm__compute_1_1_runtime_context.xhtml#a599395bda0ad9efc91949f693c878852">RuntimeContext</a>
+: <a class="el" href="classarm__compute_1_1_runtime_context.xhtml#af3a5f92c25138524976ffd7493131de2">RuntimeContext</a>
</li>
</ul>
</div><!-- contents -->
@@ -794,7 +800,7 @@
<!-- start footer part -->
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- <li class="footer">Generated on Wed Jan 22 2020 18:08:02 for Compute Library by
+ <li class="footer">Generated on Fri Feb 21 2020 11:10:35 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.15 </li>
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