arm_compute v19.08
diff --git a/documentation/functions_func_n.xhtml b/documentation/functions_func_n.xhtml
index 59f0095..8cdaa6e 100644
--- a/documentation/functions_func_n.xhtml
+++ b/documentation/functions_func_n.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">19.05</span>
+  <span id="projectnumber">19.08</span>
</div>
</td>
</tr>
@@ -107,6 +107,7 @@
, <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPCornerCandidatesKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPDetectionWindowNonMaximaSuppressionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPFlipWeightsKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPNonMaximumSuppressionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPPermuteKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPSortEuclideanDistanceKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPTopKVKernel</a>
@@ -133,6 +134,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEActivationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEArithmeticAdditionKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEArithmeticSubtractionKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_batch_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBatchConcatenateLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBatchNormalizationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_batch_to_space_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBatchToSpaceLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBitwiseAndKernel</a>
@@ -154,7 +156,9 @@
, <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NECumulativeDistributionKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthConcatenateLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthConvertLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depth_to_space_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthToSpaceLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthwiseConvolutionLayer3x3Kernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer_native_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthwiseConvolutionLayerNativeKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthwiseIm2ColKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthwiseVectorToTensorKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthwiseWeightsReshapeKernel</a>
@@ -191,6 +195,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpMatrixMultiplyKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpOffsetContributionKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">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#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel</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#ab5656bb5b6334bdbe6e606c715872828">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#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMMatrixAccumulateBiasesKernel</a>
@@ -214,6 +219,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NELogits1DSoftmaxKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMagnitudePhaseKernel< mag_type, phase_type ></a>
, <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMeanStdDevKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMeanStdDevNormalizationKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_median3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMedian3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_memset_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMemsetKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxKernel</a>
@@ -245,6 +251,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel7x7HorKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel7x7VertKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_space_to_batch_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESpaceToBatchLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_space_to_depth_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESpaceToDepthLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEStackLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEStridedSliceKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NETableLookupKernel</a>
@@ -294,6 +301,9 @@
<li>NEArithmeticSubtractionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5f1869dd5ea404e5f6b110ec5e356320">NEArithmeticSubtractionKernel</a>
</li>
+<li>NEBatchConcatenateLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_batch_concatenate_layer_kernel.xhtml#a4533c00a195f4a2a2393bf1410ad6c97">NEBatchConcatenateLayerKernel</a>
+</li>
<li>NEBatchNormalizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a25b4f1a6a344fa184fb639cc794a6994">NEBatchNormalizationLayer</a>
</li>
@@ -373,14 +383,11 @@
: <a class="el" href="classarm__compute_1_1_n_e_crop_resize.xhtml#a6a94720cb2462585bbc08fab0cc7b8b9">NECropResize</a>
</li>
<li>NECumulativeDistributionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a6fa25b9f56915d8a179725e5bab75640">NECumulativeDistributionKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#afa30a9b7652a405442adaed49119a323">NECumulativeDistributionKernel</a>
</li>
<li>NEDeconvolutionLayer()
: <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#a7eed3415cae42b9a35a5ffa5267281d9">NEDeconvolutionLayer</a>
</li>
-<li>NEDepthConcatenateLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#a57e7dcc67e907da24d6c778639ed8beb">NEDepthConcatenateLayer</a>
-</li>
<li>NEDepthConcatenateLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#ad6e98c5ccc23df7ba5781c8497e83947">NEDepthConcatenateLayerKernel</a>
</li>
@@ -390,6 +397,9 @@
<li>NEDepthConvertLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a32920cbfb827224a7b09311658871b40">NEDepthConvertLayerKernel</a>
</li>
+<li>NEDepthToSpaceLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_depth_to_space_layer_kernel.xhtml#a5f54f725eaa2174964e05487ee2586cb">NEDepthToSpaceLayerKernel</a>
+</li>
<li>NEDepthwiseConvolutionAssemblyDispatch()
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_assembly_dispatch.xhtml#a4e3fd833ab574a3299997f4a4faf83df">NEDepthwiseConvolutionAssemblyDispatch</a>
</li>
@@ -402,6 +412,12 @@
<li>NEDepthwiseConvolutionLayer3x3Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#abf0a671d5f84d64b22c1baacbc30d42c">NEDepthwiseConvolutionLayer3x3Kernel</a>
</li>
+<li>NEDepthwiseConvolutionLayerNativeKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer_native_kernel.xhtml#a14b7cda54326e3dc123c41077e56f648">NEDepthwiseConvolutionLayerNativeKernel</a>
+</li>
+<li>NEDepthwiseConvolutionLayerOptimized()
+: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer_optimized.xhtml#afbb9307112fea2f5f71a94702bc104d7">NEDepthwiseConvolutionLayerOptimized</a>
+</li>
<li>NEDepthwiseIm2ColKernel()
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abedec4a789c5ce275d17d458810e9fac">NEDepthwiseIm2ColKernel</a>
</li>
@@ -523,19 +539,19 @@
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#a944408035fc5125bab445b8241abcd90">NEGaussianPyramidOrb</a>
</li>
<li>NEGaussianPyramidVertKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a7d7c6bdf235be21dd5c0dd0c17182248">NEGaussianPyramidVertKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a6b7eabb7f21234ba4224ccd58f31759b">NEGaussianPyramidVertKernel</a>
</li>
<li>NEGEMM()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml#a545e2af1971b9885b46f0f58b5893628">NEGEMM</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml#abaa70c8f86d580a791200678388d0073">NEGEMM</a>
</li>
<li>NEGEMMAssemblyBaseKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a9338ccd0c5c5d67fbeb450d8d3c492c6">NEGEMMAssemblyBaseKernel</a>
</li>
<li>NEGEMMAssemblyDispatch()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a262fe83e2ddb3a88756fce7e5f340461">NEGEMMAssemblyDispatch</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a68a390745d5de400e5903b1c8a9648af">NEGEMMAssemblyDispatch</a>
</li>
<li>NEGEMMConvolutionLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad39eb0841612b282e05103589d079055">NEGEMMConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a24fed20754466c50bb2c823444556a6d">NEGEMMConvolutionLayer</a>
</li>
<li>NEGEMMInterleave4x4Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ae05d4514f4b8415dbd21e900cffb2fbc">NEGEMMInterleave4x4Kernel</a>
@@ -547,34 +563,37 @@
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#af5f476de0574e0225a55db44447c48f4">NEGEMMLowpAssemblyMatrixMultiplyCore</a>
</li>
<li>NEGEMMLowpMatrixMultiplyCore()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a9206dac32462245701dbbd4a705a5632">NEGEMMLowpMatrixMultiplyCore</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0b1bcf4d061ed4b99b69d6f6fa0b797e">NEGEMMLowpMatrixMultiplyCore</a>
</li>
<li>NEGEMMLowpMatrixMultiplyKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a81181df64bd527630a72dc7ce5109f49">NEGEMMLowpMatrixMultiplyKernel</a>
</li>
<li>NEGEMMLowpOffsetContributionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a30f6ea6f61be1d7c9c6304daf3543faa">NEGEMMLowpOffsetContributionKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a5bf7b7731ce01ade9750d52e24fd2f4f">NEGEMMLowpOffsetContributionKernel</a>
</li>
<li>NEGEMMLowpOffsetContributionOutputStageKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a2851f631e9660a4dd9644cb749282723">NEGEMMLowpOffsetContributionOutputStageKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a1f3daabb9fa6cc420456de1a25de6200">NEGEMMLowpOffsetContributionOutputStageKernel</a>
+</li>
+<li>NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel()
+: <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#aedc3af7c4ab4ac49009a8935f3ddef2e">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel</a>
</li>
<li>NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel()
-: <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#a300f166c0a6aa15706272cc4464257f2">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</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#a3d0b72df579c39f4559d541ffce740bd">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
</li>
<li>NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#afc1918f33bdecf05928c9a489e390f68">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aebd10c830cc69f661d0f6a7fdcf5d00c">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
</li>
<li>NEGEMMMatrixAccumulateBiasesKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aa3c78a8fb89c877aae90f2e76d1fe5ec">NEGEMMMatrixAccumulateBiasesKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aa84ecb564c5f8946e017ca8af72f96c8">NEGEMMMatrixAccumulateBiasesKernel</a>
</li>
<li>NEGEMMMatrixAdditionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab2165f92396a03786cf5e499c4d0e62c">NEGEMMMatrixAdditionKernel</a>
</li>
<li>NEGEMMMatrixMultiplyKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a3ebc015a791e361baa4ce95ed05c7359">NEGEMMMatrixMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#aeef5692e383060fe73ee1eb989b96ad4">NEGEMMMatrixMultiplyKernel</a>
</li>
<li>NEGEMMMatrixVectorMultiplyKernel()
-: <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#a985536222215388a62670c8d57b05736">NEGEMMMatrixVectorMultiplyKernel</a>
</li>
<li>NEGradientKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b">NEGradientKernel</a>
@@ -586,16 +605,16 @@
: <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a18cf8876acac9c6c2b35e38d9beabe9d">NEHarrisScoreKernel< block_size ></a>
</li>
<li>NEHeightConcatenateLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_height_concatenate_layer_kernel.xhtml#af5f157aea366faa1fa7fa5ab9cf9fb55">NEHeightConcatenateLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_height_concatenate_layer_kernel.xhtml#af0910be59a50b6932abeb71587cbfa0a">NEHeightConcatenateLayerKernel</a>
</li>
<li>NEHistogram()
: <a class="el" href="classarm__compute_1_1_n_e_histogram.xhtml#a15d0892c4a1aa404f5a6967b8bc49fa8">NEHistogram</a>
</li>
<li>NEHistogramKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a2961e5538b89a81b0b0e83159b0526c8">NEHistogramKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#ad671a80d59ee10144e810003ead8fb57">NEHistogramKernel</a>
</li>
<li>NEHOGBlockNormalizationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a3f9eda786b67908885c93faf5eb55594">NEHOGBlockNormalizationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a2326d9458e2047eef9b26745db76ad79">NEHOGBlockNormalizationKernel</a>
</li>
<li>NEHOGDescriptor()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#acd99c8cb08517ab807be56293aac5bec">NEHOGDescriptor</a>
@@ -616,13 +635,13 @@
: <a class="el" href="classarm__compute_1_1_n_e_im2_col.xhtml#a6f08d8bba859372d8979b0e4b09ddb56">NEIm2Col</a>
</li>
<li>NEIm2ColKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#aff36152aec06ab80bbd3aa8d9dc66075">NEIm2ColKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#aec5fb874227c941e8ac14de3d29e543b">NEIm2ColKernel</a>
</li>
<li>NEL2NormalizeLayer()
: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad15dc31c9ce02a1afd5762b64a11c1c4">NEL2NormalizeLayer</a>
</li>
<li>NEL2NormalizeLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a82265061e07c888085faad1ec861d507">NEL2NormalizeLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a074123c53d349a9f418a7a269e331230">NEL2NormalizeLayerKernel</a>
</li>
<li>NELaplacianPyramid()
: <a class="el" href="classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#a4b03c61f02f3e0119fa71877abb9b4b8">NELaplacianPyramid</a>
@@ -637,17 +656,20 @@
: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a0115186dd4cd64fcca9f32216f5d6639">NELocallyConnectedLayer</a>
</li>
<li>NELocallyConnectedMatrixMultiplyKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#aa8d683f010979a37439e67bf189b34d3">NELocallyConnectedMatrixMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#ad23c1537e7f95401ebb2a7850e6dd25f">NELocallyConnectedMatrixMultiplyKernel</a>
</li>
<li>NELogits1DMaxKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a7dcfcda37359d31c2510ad865f4ca051">NELogits1DMaxKernel</a>
</li>
<li>NELogits1DSoftmaxKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ac180b8dbfc8b27e0085571efe18510e5">NELogits1DSoftmaxKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a6c27f2243845b964e4cefe5e9d5937a4">NELogits1DSoftmaxKernel</a>
</li>
<li>NELSTMLayer()
: <a class="el" href="classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#a8d8d5b5c66b732b3fc9494b0e743ed3f">NELSTMLayer</a>
</li>
+<li>NELSTMLayerQuantized()
+: <a class="el" href="classarm__compute_1_1_n_e_l_s_t_m_layer_quantized.xhtml#a806ae351d9c6988ec1743791661c001f">NELSTMLayerQuantized</a>
+</li>
<li>NEMagnitudePhaseKernel()
: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ac0a5198310dfa51fb02e28e2594e1d53">NEMagnitudePhaseKernel< mag_type, phase_type ></a>
</li>
@@ -655,13 +677,16 @@
: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev.xhtml#a08ebd3b5f0e06c72c512d799cd9fccd2">NEMeanStdDev</a>
</li>
<li>NEMeanStdDevKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a6a85f552b312ad2560ae02676db95f9e">NEMeanStdDevKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a6d25c4a312717de480c27bdf6c4937ce">NEMeanStdDevKernel</a>
+</li>
+<li>NEMeanStdDevNormalizationKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_normalization_kernel.xhtml#a7d923d3b84fa30f73b1656d5b2bb3ec0">NEMeanStdDevNormalizationKernel</a>
</li>
<li>NEMemsetKernel()
: <a class="el" href="classarm__compute_1_1_n_e_memset_kernel.xhtml#a510e13f4340a3b266c20334084d8acef">NEMemsetKernel</a>
</li>
<li>NEMinMaxKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a6838da666c340e4d73e8779d710a2dfd">NEMinMaxKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a14c484d0c1759b7163e3691ea1bb8bb5">NEMinMaxKernel</a>
</li>
<li>NEMinMaxLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a7595e6658a34d7fea57ae6b7e9df9753">NEMinMaxLayerKernel</a>
@@ -673,10 +698,10 @@
: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a41c506659961dcf1f935ae6e349f0d54">NEMinMaxLocationKernel</a>
</li>
<li>NENonLinearFilterKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#af7d8f3eac26e577c2c1754a7c2dab402">NENonLinearFilterKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#aa8b392e0f9752f58bad0899fbf05062d">NENonLinearFilterKernel</a>
</li>
<li>NENonMaximaSuppression3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#aef9f048495848c9d8af9939009c363fc">NENonMaximaSuppression3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#ae4b41758a959cb874f3d8a179fd37a7e">NENonMaximaSuppression3x3Kernel</a>
</li>
<li>NENormalizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml#ab9fb64464b613c8dfb660ce8adda169e">NENormalizationLayer</a>
@@ -685,31 +710,34 @@
: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a0a9583248b18a4ac65987cd5adebc6ed">NENormalizationLayerKernel</a>
</li>
<li>NEOpticalFlow()
-: <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ab134eb1c572b0dde645c35795c486661">NEOpticalFlow</a>
+: <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ad5dfdcf45ad38c48cd725b0fdc675b34">NEOpticalFlow</a>
</li>
<li>NEPadLayer()
: <a class="el" href="classarm__compute_1_1_n_e_pad_layer.xhtml#a79ddca98792472ac497d7acc81933398">NEPadLayer</a>
</li>
<li>NEPermuteKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#ac041b093bce44d5969166685832c21d7">NEPermuteKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#acba877f622a9b909a592f5a43ed26863">NEPermuteKernel</a>
</li>
<li>NEPixelWiseMultiplicationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a032fb6504d12ca1244b2d7d82609f062">NEPixelWiseMultiplicationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a75e09a8ec40fb21b0f71421960b540a6">NEPixelWiseMultiplicationKernel</a>
</li>
<li>NEPoolingLayer()
: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml#adfb415099e7d78f4444e0fb45e405091">NEPoolingLayer</a>
</li>
<li>NEPoolingLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab35670d771933fa900a8cccae52cc0dd">NEPoolingLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a580a7925065fd33f5e7e12425769edd1">NEPoolingLayerKernel</a>
+</li>
+<li>NEPowerOperationKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_power_operation_kernel.xhtml#a8fa201bf255c597c74656ebba8f9ac44">NEPowerOperationKernel</a>
</li>
<li>NEPriorBoxLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a401f637e0355c63320ddffe30bd67a1a">NEPriorBoxLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a624fa89170ccad67d61dc520cc2992bc">NEPriorBoxLayerKernel</a>
</li>
<li>NEQuantizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer.xhtml#a3f25412d98888fd34c42e9d22708c73b">NEQuantizationLayer</a>
</li>
<li>NEQuantizationLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#af016debab1ceae65a136232e68c17617">NEQuantizationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ad62e17aadd5912b41857bdbc15730268">NEQuantizationLayerKernel</a>
</li>
<li>NERange()
: <a class="el" href="classarm__compute_1_1_n_e_range.xhtml#a1676ab701fe81cd955c7430a235e6f98">NERange</a>
@@ -724,7 +752,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation.xhtml#a20574f46cffa32ed112fcffa4e3af223">NEReductionOperation</a>
</li>
<li>NEReductionOperationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a46d13eb25cd34c7ebdeb7857b99911ac">NEReductionOperationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a2a4e88f09df046635e88b16c8ec387a7">NEReductionOperationKernel</a>
</li>
<li>NERemapKernel()
: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#aca07bf938309c22c50104ed93b7d3d1e">NERemapKernel</a>
@@ -733,16 +761,16 @@
: <a class="el" href="classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aed444eb1920a454c0f12b13f164d3d41">NEReorgLayerKernel</a>
</li>
<li>NEReverseKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_reverse_kernel.xhtml#ab6e36387ad2fb4314db95c574f7ce598">NEReverseKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_reverse_kernel.xhtml#aa118ee1200d7eb0525933329ddb2f01e">NEReverseKernel</a>
</li>
<li>NERNNLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a22580824d9d7f1d67c3db8ac601113b3">NERNNLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ab6231543c4071f67f7acd1b868017185">NERNNLayer</a>
</li>
<li>NEROIPoolingLayer()
: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a25e24d127134f9fd599195250c19444b">NEROIPoolingLayer</a>
</li>
<li>NEROIPoolingLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ad4e23818db2a0d7323fe8a7947744148">NEROIPoolingLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a6c1533ba7e860b0bf061dd02f552f427">NEROIPoolingLayerKernel</a>
</li>
<li>NEScale()
: <a class="el" href="classarm__compute_1_1_n_e_scale.xhtml#a30a0363a371ac59877079c6ec1962657">NEScale</a>
@@ -766,13 +794,13 @@
: <a class="el" href="classarm__compute_1_1_n_e_simple_assembly_function.xhtml#afb07b1dea50f174ccf0d67a2eb8416a2">NESimpleAssemblyFunction</a>
</li>
<li>NESobel3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#afb53206c970a06eec11dc2d7fb30819d">NESobel3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a517dc6cf8dd14439b40ba8c06ead5810">NESobel3x3Kernel</a>
</li>
<li>NESobel5x5()
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5.xhtml#a60dc311f2ae26bf9447df0e95ad631de">NESobel5x5</a>
</li>
<li>NESobel5x5HorKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a5f9e4b85f76463d3aab250f0f9a4873e">NESobel5x5HorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ab3fe9be760d9e2faa8cb36872889fc98">NESobel5x5HorKernel</a>
</li>
<li>NESobel5x5VertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab46cf54e2df5a20b634660a06e48e9d5">NESobel5x5VertKernel</a>
@@ -781,19 +809,25 @@
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7.xhtml#a999f68b754259bb7c0a1003e51a31c99">NESobel7x7</a>
</li>
<li>NESobel7x7HorKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a1a423c939d91b1097fcd48ead9b5f143">NESobel7x7HorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ac9d0ac2c616250612ac3835839480cc3">NESobel7x7HorKernel</a>
</li>
<li>NESobel7x7VertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a667242192107c5f9fb8368eaccca2103">NESobel7x7VertKernel</a>
</li>
<li>NESoftmaxLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a40b63cceb93aff0543cbd44b452d08e2">NESoftmaxLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a302bd66eed7126e9c7b0eb6bc3314ac3">NESoftmaxLayer</a>
</li>
<li>NESpaceToBatchLayer()
: <a class="el" href="classarm__compute_1_1_n_e_space_to_batch_layer.xhtml#aa79672e846ddb4ba5ad8cb3ec4b8eece">NESpaceToBatchLayer</a>
</li>
<li>NESpaceToBatchLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_space_to_batch_layer_kernel.xhtml#aa33605dc98faa9f685eb1490a19cf0c9">NESpaceToBatchLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_space_to_batch_layer_kernel.xhtml#aedb1c41f5e14dd99721674caeed12949">NESpaceToBatchLayerKernel</a>
+</li>
+<li>NESpaceToDepthLayer()
+: <a class="el" href="classarm__compute_1_1_n_e_space_to_depth_layer.xhtml#af771c237b3c5f2f77650b00ef479c35e">NESpaceToDepthLayer</a>
+</li>
+<li>NESpaceToDepthLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_space_to_depth_layer_kernel.xhtml#ab9479e0ff82d3c799216aa08650ac41e">NESpaceToDepthLayerKernel</a>
</li>
<li>NESplit()
: <a class="el" href="classarm__compute_1_1_n_e_split.xhtml#ad89d8795f247b61e5aeba5f12ae1fd15">NESplit</a>
@@ -805,10 +839,10 @@
: <a class="el" href="classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a61e7e4d2e16442301bd4c3ed327ef67a">NEStackLayerKernel</a>
</li>
<li>NEStridedSliceKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#aa09cd2186f25d44f98564afbcdef8be6">NEStridedSliceKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a9299a63e228836ebfbb387a28a813dd4">NEStridedSliceKernel</a>
</li>
<li>NESubTensorHandle()
-: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#aba3a7c20ba3c19a5f3db801dd49b0c2c">NESubTensorHandle</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a2f55bff8083e46405832ce52c9a92a91">NESubTensorHandle</a>
</li>
<li>NETableLookupKernel()
: <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#afb1345d81a7ee915ca9b2b4c1e84bb0b">NETableLookupKernel</a>
@@ -817,13 +851,13 @@
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a7589aedeac35ee91015d3dd625a9abcd">NETensorHandle</a>
</li>
<li>NEThresholdKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#aa225b6f88add359d864507bdc2053ac0">NEThresholdKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d0259c161d942ed6ed833206c643e45">NEThresholdKernel</a>
</li>
<li>NETileKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_tile_kernel.xhtml#a8e999067ec3b8a7f2bbf7f4b88a4fe43">NETileKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_tile_kernel.xhtml#a158e0205c27d5d36f5353f7ade72040d">NETileKernel</a>
</li>
<li>NETransposeKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a46381b755f709be78595e61225c71afe">NETransposeKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ae24f3159088ed25c27231fe58e43c424">NETransposeKernel</a>
</li>
<li>NEUnstack()
: <a class="el" href="classarm__compute_1_1_n_e_unstack.xhtml#a9fe1c034f87de9f4f8f123df10aa624b">NEUnstack</a>
@@ -835,32 +869,32 @@
: <a class="el" href="classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a87f2137855e502092ba24bc0505ae5db">NEUpsampleLayerKernel</a>
</li>
<li>NEWeightsReshapeKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a4d7fc5f87332371306c0b2bf907c7603">NEWeightsReshapeKernel</a>
-</li>
-<li>NEWidthConcatenateLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#abb894ee6ec4336cf067d2273eea64ad8">NEWidthConcatenateLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a81a65e6e29f1484740df2b1e60e82a6d">NEWeightsReshapeKernel</a>
</li>
<li>NEWidthConcatenateLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#aa1acf4d873fcf6d14e5cbe56417fddd0">NEWidthConcatenateLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#ac2eb49b445e8e3cc413572adebb1719e">NEWidthConcatenateLayerKernel</a>
</li>
<li>NEWinogradConvolutionLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a5adf00d4ee113decca5848feb9684e08">NEWinogradConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a83d886e7456d6a5d67ca145efd4c1aff">NEWinogradConvolutionLayer</a>
</li>
<li>NEWinogradLayerTransformInputKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ae5af3dca6ce9aa3ab366220034220359">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a975ca7003dae590387fdf8546e1b08fd">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>NEWinogradLayerTransformOutputKernel()
: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a938350d536f0350fd2fd9eacf5d5f243">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>NEWinogradLayerTransformWeightsKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ad25daf413f7dd45f084ae22a25b8bbe5">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#aba37abbbb60c14dfc48462c988f201de">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>NEYOLOLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ac70fffb735b977abbd5cbc73b7b57bec">NEYOLOLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#acd649bd63405fe6c83f5b2b491cfd177">NEYOLOLayerKernel</a>
</li>
<li>nms()
: <a class="el" href="classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a90dc98d4ae6b7ab06d5e089378817672">BoxNMSLimitInfo</a>
</li>
+<li>nms_score_threshold()
+: <a class="el" href="classarm__compute_1_1_detection_post_process_layer_info.xhtml#a0732a1286ff6a838da5c19e6d48c99cf">DetectionPostProcessLayerInfo</a>
+</li>
<li>nms_thres()
: <a class="el" href="classarm__compute_1_1_generate_proposals_info.xhtml#aff8f31ab7ca98957eb196d34a3da3d68">GenerateProposalsInfo</a>
</li>
@@ -868,10 +902,10 @@
: <a class="el" href="classarm__compute_1_1_detection_output_layer_info.xhtml#af14fc4cf24dfb69a0f225a582ef01d54">DetectionOutputLayerInfo</a>
</li>
<li>node()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">Graph</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#af03a199882fdad91c9d20fc3e6ee2a57">Graph</a>
</li>
<li>nodes()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a6d22ee22d20bf807639eee8a611229af">Graph</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ade14fa2a9cfc10e208ef2ebfeb0f8ba1">Graph</a>
</li>
<li>norm_size()
: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a7c3edc4b354dda6c7285541f4f0e5c43">NormalizationLayerInfo</a>
@@ -947,6 +981,7 @@
</li>
<li>num_classes()
: <a class="el" href="classarm__compute_1_1_detection_output_layer_info.xhtml#a2411dd5edb9ccb581d303f3396e9c14c">DetectionOutputLayerInfo</a>
+, <a class="el" href="classarm__compute_1_1_detection_post_process_layer_info.xhtml#adda82c28c368106734620f105bb0e1e3">DetectionPostProcessLayerInfo</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb962dd0e5ae700a7ab8b64a437aea2a">YOLOLayerNode</a>
</li>
<li>num_dimensions()
@@ -1026,7 +1061,7 @@
, <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a19ecfde9ec6b2dda6d06cc79dd8d956c">IArrayAccessor< T ></a>
</li>
<li>NumPyAccessor()
-: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#a8a339f337aa264ea978a648e39df90f2">NumPyAccessor</a>
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ad12e8048537cfc3c0d1935aa0e63a1ee">NumPyAccessor</a>
</li>
<li>NumPyBinLoader()
: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a>
@@ -1037,7 +1072,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Thu May 23 2019 17:11:38 for Compute Library by
+ <li class="footer">Generated on Mon Sep 2 2019 11:47:42 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>
</ul>