arm_compute v19.08
diff --git a/documentation/functions_n.xhtml b/documentation/functions_n.xhtml
index 277b242..9054680 100644
--- a/documentation/functions_n.xhtml
+++ b/documentation/functions_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>
@@ -99,8 +99,9 @@
<div class="textblock">Here is a list of all struct and union fields with links to the structures/unions they belong to:</div>
<h3><a id="index_n"></a>- n -</h3><ul>
-<li>n()
-: <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a841b7b7f4c7b50931fabb298cfb7bed3">GEMMReshapeInfo</a>
+<li>n
+: <a class="el" href="structarm__compute_1_1_g_e_m_m_kernel_info.xhtml#a7d46b74409bd32b539089ef4721ea544">GEMMKernelInfo</a>
+, <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a841b7b7f4c7b50931fabb298cfb7bed3">GEMMReshapeInfo</a>
</li>
<li>n0
: <a class="el" href="structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#ac0c87b58d0d04796c81d8138231dccda">GEMMRHSMatrixInfo</a>
@@ -111,6 +112,7 @@
, <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>
@@ -138,6 +140,7 @@
, <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>
@@ -159,7 +162,9 @@
, <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>
@@ -196,6 +201,7 @@
, <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>
@@ -219,6 +225,7 @@
, <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>
@@ -250,6 +257,7 @@
, <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>
@@ -269,7 +277,8 @@
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a1d89c28bd42ba9a52da008bb69367171">TestCaseFactory</a>
, <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a9b45b3e13bd9167aab02e17e08916231">TestInfo</a>
, <a class="el" href="classarm__compute_1_1utils_1_1_option.xhtml#a1d89c28bd42ba9a52da008bb69367171">Option</a>
-, <a class="el" href="structarm__gemm_1_1_gemm_implementation.xhtml#a8f8f80d37794cde9472343e4487ba3eb">GemmImplementation< Top, Tret ></a>
+, <a class="el" href="structarm__gemm_1_1_gemm_implementation.xhtml#a8f8f80d37794cde9472343e4487ba3eb">GemmImplementation< Top, Tret, OutputStage ></a>
+, <a class="el" href="structarm__gemm_1_1_gemm_implementation_3_01_top_00_01_tret_00_01_nothing_01_4.xhtml#a8f8f80d37794cde9472343e4487ba3eb">GemmImplementation< Top, Tret, Nothing ></a>
</li>
<li>NamedDataset()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#aac7326eefd026a1b948ae98ff7a8acbf">NamedDataset</a>
@@ -302,6 +311,9 @@
<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>
@@ -386,9 +398,6 @@
<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>
@@ -398,6 +407,9 @@
<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>
@@ -410,6 +422,12 @@
<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>
@@ -543,7 +561,7 @@
: <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#a24fed20754466c50bb2c823444556a6d">NEGEMMConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad39eb0841612b282e05103589d079055">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>
@@ -567,7 +585,10 @@
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#adb79bb3ad15444f00b55b35f1d6e16b7">NEGEMMLowpOffsetContributionOutputStageKernel</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#a06ecfbcd84e278efe7305e47f996befd">NEGEMMLowpOffsetContributionOutputStageKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a2851f631e9660a4dd9644cb749282723">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#a1051055be6e0bffbc2b5e6438ff2a37c">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#a3d0b72df579c39f4559d541ffce740bd">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
@@ -576,19 +597,19 @@
: <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#a3c2045bfcff97e671afa7bfc8e2940b6">NEGEMMMatrixAccumulateBiasesKernel</a>
</li>
<li>NEGEMMMatrixAdditionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a0b3c2d43b065aefa8c68e0bc7488794e">NEGEMMMatrixAdditionKernel</a>
+: <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#a24f041a22aab638f430bfd66897b5f54">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#a65033b645497768758fcf14d4d25eede">NEGEMMMatrixVectorMultiplyKernel</a>
</li>
<li>NEGradientKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b">NEGradientKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#ad383dd933d1927d688347f6f412dfc21">NEGradientKernel</a>
</li>
<li>NEHarrisCorners()
: <a class="el" href="classarm__compute_1_1_n_e_harris_corners.xhtml#a2e2017552e622fdfca6e14066fb83806">NEHarrisCorners</a>
@@ -606,28 +627,28 @@
: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a13563fca453f4925820f84d182294b9d">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#ae88dacb24506d235031138db045b8413">NEHOGBlockNormalizationKernel</a>
</li>
<li>NEHOGDescriptor()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#acd99c8cb08517ab807be56293aac5bec">NEHOGDescriptor</a>
</li>
<li>NEHOGDetectorKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a2c0f4bf7e37cb04bf2384f4bc71b84d5">NEHOGDetectorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a371a0938f66a7f0bf66221247b27d3b3">NEHOGDetectorKernel</a>
</li>
<li>NEHOGGradient()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ae5b673d17e79264048516b6e19e4f59e">NEHOGGradient</a>
</li>
<li>NEHOGMultiDetection()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#ab89e2f74cd1d706e49bfe182c2923789">NEHOGMultiDetection</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#abb8258d13d0759751d0a95299f091e02">NEHOGMultiDetection</a>
</li>
<li>NEHOGOrientationBinningKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#afc6437925dc58e28a8d317e9ef64560f">NEHOGOrientationBinningKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a5a1b3543ffcd941a0f3b5bc2b058c92e">NEHOGOrientationBinningKernel</a>
</li>
<li>NEIm2Col()
: <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#a82f0a27f278d1bb7d1457c24941289e4">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>
@@ -642,10 +663,10 @@
: <a class="el" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#a1490de9008819d066ff78159afb03fe0">NELaplacianReconstruct</a>
</li>
<li>NELKTrackerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a5c272fb952051d6a06370c2fdb267c96">NELKTrackerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#aca5d353ec5bfccdae41b2f647adb3da8">NELKTrackerKernel</a>
</li>
<li>NELocallyConnectedLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a477dfb4eac212309023a3a1ca6284d9c">NELocallyConnectedLayer</a>
+: <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#a3acd16d134e4f9fcca7a2929375194dd">NELocallyConnectedMatrixMultiplyKernel</a>
@@ -659,8 +680,11 @@
<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#a53c147feec3c6f2912779194fa2b5513">NEMagnitudePhaseKernel< mag_type, phase_type ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#aebf700d44017c1ff38ad0d3741aaac56">NEMagnitudePhaseKernel< mag_type, phase_type ></a>
</li>
<li>NEMeanStdDev()
: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev.xhtml#a08ebd3b5f0e06c72c512d799cd9fccd2">NEMeanStdDev</a>
@@ -668,14 +692,17 @@
<li>NEMeanStdDevKernel()
: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a6a85f552b312ad2560ae02676db95f9e">NEMeanStdDevKernel</a>
</li>
+<li>NEMeanStdDevNormalizationKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_normalization_kernel.xhtml#a030e5dcb477070dd56e087af97577ab5">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>
+: <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a10235b99ce63ff0736c7d00b59123c1f">NEMinMaxLayerKernel</a>
</li>
<li>NEMinMaxLocation()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_location.xhtml#ae1e54926ff0f8534bbd3a97d9c0fdaa2">NEMinMaxLocation</a>
@@ -687,7 +714,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#af7d8f3eac26e577c2c1754a7c2dab402">NENonLinearFilterKernel</a>
</li>
<li>NENonMaximaSuppression3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#ae4b41758a959cb874f3d8a179fd37a7e">NENonMaximaSuppression3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#aef9f048495848c9d8af9939009c363fc">NENonMaximaSuppression3x3Kernel</a>
</li>
<li>NENormalizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml#ab9fb64464b613c8dfb660ce8adda169e">NENormalizationLayer</a>
@@ -696,13 +723,13 @@
: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a682ef2213a5c1fd804505e572ea45700">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#a53592f2e423ddbeffcc472cf7cbfb88c">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#ac23503429643fa0415fd64b1fc17e40c">NEPixelWiseMultiplicationKernel</a>
@@ -713,6 +740,9 @@
<li>NEPoolingLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a8002aba3f59c078c9899ad236ba67174">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>
</li>
@@ -720,7 +750,7 @@
: <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#afd7a141d3777f3622c3f9fafc0ce4d0f">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>
@@ -741,31 +771,31 @@
: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a02121cbb8760314f74f08d6b36a2cbbc">NERemapKernel</a>
</li>
<li>NEReorgLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aafc1f67c7d146d6764384e5a06a49ffd">NEReorgLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a77b0dbdf83cf802b83e46f98358c7b60">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#a1c7cdcab15282630465527b7f0f935fe">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#ad71b9e0c36eb029efea21034a525797d">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#a6c1533ba7e860b0bf061dd02f552f427">NEROIPoolingLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ad4e23818db2a0d7323fe8a7947744148">NEROIPoolingLayerKernel</a>
</li>
<li>NEScale()
: <a class="el" href="classarm__compute_1_1_n_e_scale.xhtml#a30a0363a371ac59877079c6ec1962657">NEScale</a>
</li>
<li>NEScaleKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#a025ceb246f7b80a3cb765d33d6a5cfe4">NEScaleKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#ae1d7843aaf1b5e13bf8403e44249b97a">NEScaleKernel</a>
</li>
<li>NEScharr3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aa92e67ceef8ce3ddbee234f9f3a28220">NEScharr3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a625e12a0c7ab061154b39f47a4a11309">NEScharr3x3Kernel</a>
</li>
<li>NESelectKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_select_kernel.xhtml#a256e504154f112b56aad2edc13cbce5a">NESelectKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_select_kernel.xhtml#a97b2954539ea17a9b037562fc0033352">NESelectKernel</a>
</li>
<li>NESeparableConvolutionHorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a965a154580e00968b45aa6268986cd51">NESeparableConvolutionHorKernel< matrix_size ></a>
@@ -783,28 +813,34 @@
: <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#a8dea438b6d74a45c8315643c5ffbc54b">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#aefe5ee52a24df017a67c5fe79ac0d19f">NESobel5x5VertKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab46cf54e2df5a20b634660a06e48e9d5">NESobel5x5VertKernel</a>
</li>
<li>NESobel7x7()
: <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#ac9d0ac2c616250612ac3835839480cc3">NESobel7x7HorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a1a423c939d91b1097fcd48ead9b5f143">NESobel7x7HorKernel</a>
</li>
<li>NESobel7x7VertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a685552a5f91d30d8f5b4ce2003771d18">NESobel7x7VertKernel</a>
</li>
<li>NESoftmaxLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a09c32ef2afaa6952b300d15b48acb03a">NESoftmaxLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a40b63cceb93aff0543cbd44b452d08e2">NESoftmaxLayer</a>
</li>
<li>NESpaceToBatchLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_space_to_batch_layer.xhtml#aa79672e846ddb4ba5ad8cb3ec4b8eece">NESpaceToBatchLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_space_to_batch_layer.xhtml#ae3eeb5cf0d090ae679ebc50e1050eab0">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#a09af37e2c5ce824ca9b5bd8dd2d881bb">NESpaceToDepthLayer</a>
+</li>
+<li>NESpaceToDepthLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_space_to_depth_layer_kernel.xhtml#a7d4b4ea27f254a82697370cf4a68dd72">NESpaceToDepthLayerKernel</a>
</li>
<li>NESplit()
: <a class="el" href="classarm__compute_1_1_n_e_split.xhtml#ad89d8795f247b61e5aeba5f12ae1fd15">NESplit</a>
@@ -813,13 +849,13 @@
: <a class="el" href="classarm__compute_1_1_n_e_stack_layer.xhtml#a8ca90468cf9e830f73ba50ed7bbb9d53">NEStackLayer</a>
</li>
<li>NEStackLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a1b3396255401298dd2a89721a0ea07ad">NEStackLayerKernel</a>
+: <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#a11dfc78ade713bbd49a799605736425a">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#aee2586f6c778ffab9ee3adbc2a6790a1">NETableLookupKernel</a>
@@ -831,7 +867,7 @@
: <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>
@@ -848,17 +884,14 @@
<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>
-</li>
<li>NEWidthConcatenateLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a080d64d53708f5342742ff62444f4d18">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#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#a41eee525702c5f60376edfddce144731">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>
@@ -872,6 +905,9 @@
<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>
@@ -891,9 +927,11 @@
, <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">ConvolutionLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">DepthwiseConvolutionLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">FusedConvolutionBatchNormalizationNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">FusedDepthwiseConvolutionBatchNormalizationNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_quantization_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">QuantizationLayerNode</a>
</li>
<li>nodes()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">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>
@@ -969,6 +1007,7 @@
</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_cores
@@ -1057,7 +1096,7 @@
, <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#afe75cb833252a242807e17ef560d4fe8">NumPyAccessor</a>
</li>
<li>NumPyBinLoader()
: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a>
@@ -1071,7 +1110,7 @@
<!-- 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>