arm_compute v20.02
diff --git a/documentation/functions_n.xhtml b/documentation/functions_n.xhtml
index b9aebc4..70e90dc 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">19.11.1</span>
+  <span id="projectnumber">20.02</span>
</div>
</td>
</tr>
@@ -136,6 +136,7 @@
, <a class="el" href="classarm__compute_1_1graph_1_1_node_fusion_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">NodeFusionMutator</a>
, <a class="el" href="structarm__compute_1_1graph_1_1_node_params.xhtml#a9b45b3e13bd9167aab02e17e08916231">NodeParams</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">SplitLayerSubTensorMutator</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_synthetic_data_type_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">SyntheticDataTypeMutator</a>
, <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>
, <a class="el" href="classarm__compute_1_1_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171">Kernel</a>
, <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#a1d89c28bd42ba9a52da008bb69367171">Logger</a>
@@ -208,6 +209,7 @@
, <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_int8_scale_by_fixed_point_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">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#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>
@@ -289,6 +291,9 @@
, <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>name_filter
+: <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_framework_config.xhtml#a543c34e4b882beda4230fbb8e9b99bfc">FrameworkConfig</a>
+</li>
<li>NamedDataset()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#aac7326eefd026a1b948ae98ff7a8acbf">NamedDataset</a>
</li>
@@ -372,10 +377,10 @@
: <a class="el" href="classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#ade3c44c85aeecbf179e0327c9856c39e">NEComparisonOperationKernel</a>
</li>
<li>NEComplexPixelWiseMultiplicationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_complex_pixel_wise_multiplication_kernel.xhtml#a52fda24e424ef4df1254f5249a9988fa">NEComplexPixelWiseMultiplicationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_complex_pixel_wise_multiplication_kernel.xhtml#a0581105f12e2c56d8437952f522e981d">NEComplexPixelWiseMultiplicationKernel</a>
</li>
<li>NEComputeAllAnchorsKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_compute_all_anchors_kernel.xhtml#a6747e8608059673fac406efcee4952a1">NEComputeAllAnchorsKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_compute_all_anchors_kernel.xhtml#a065d950035075ca64538f2e06035238b">NEComputeAllAnchorsKernel</a>
</li>
<li>NEConcatenateLayer()
: <a class="el" href="classarm__compute_1_1_n_e_concatenate_layer.xhtml#a323553c0bffc8dda63242a297512d151">NEConcatenateLayer</a>
@@ -561,16 +566,16 @@
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a7d7c6bdf235be21dd5c0dd0c17182248">NEGaussianPyramidVertKernel</a>
</li>
<li>NEGEMM()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml#abfe2d5e45f4d74fc2c76524d1c886199">NEGEMM</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml#ac2d5f41869fc7a6313f453067c09c882">NEGEMM</a>
</li>
<li>NEGEMMAssemblyBaseKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a4f6114633a022d4829db101eed792843">NEGEMMAssemblyBaseKernel</a>
+: <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#adc86c010924ead52170436db51eb00e1">NEGEMMAssemblyDispatch</a>
</li>
<li>NEGEMMConvolutionLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a627cee3df543519d4a134291189a3b9e">NEGEMMConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#af4d64dcaa798d09b11067f19b3c48ebe">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>
@@ -582,43 +587,46 @@
: <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>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a8edbc004da91a133d24f0eb0e9aa8203">NEGEMMLowpMatrixMultiplyKernel</a>
</li>
<li>NEGEMMLowpOffsetContributionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a5bf7b7731ce01ade9750d52e24fd2f4f">NEGEMMLowpOffsetContributionKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a67a6b877adc4f6b0583d154aff9d87f8">NEGEMMLowpOffsetContributionKernel</a>
</li>
<li>NEGEMMLowpOffsetContributionOutputStageFunction
: <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#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#a1051055be6e0bffbc2b5e6438ff2a37c">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel</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#aedc3af7c4ab4ac49009a8935f3ddef2e">NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel</a>
+</li>
+<li>NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel()
+: <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#a51446caae88ab67796b8d8e19fd46685">NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel</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>
+: <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>
</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#aebd10c830cc69f661d0f6a7fdcf5d00c">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#afc1918f33bdecf05928c9a489e390f68">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
</li>
<li>NEGEMMMatrixAccumulateBiasesKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a3c2045bfcff97e671afa7bfc8e2940b6">NEGEMMMatrixAccumulateBiasesKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aa3c78a8fb89c877aae90f2e76d1fe5ec">NEGEMMMatrixAccumulateBiasesKernel</a>
</li>
<li>NEGEMMMatrixAdditionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#aa1e494c2f7b81dfb35b3ec69adffd225">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#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>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#aba228e2c66ccf497325f17d574ee9ec4">NEGEMMMatrixVectorMultiplyKernel</a>
</li>
<li>NEGenerateProposalsLayer()
: <a class="el" href="classarm__compute_1_1_n_e_generate_proposals_layer.xhtml#a06fa629982efe5e234e929414c5d0fc7">NEGenerateProposalsLayer</a>
</li>
<li>NEGradientKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a5abcaf3e9545a325505641d321a858c9">NEGradientKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b">NEGradientKernel</a>
</li>
<li>NEHarrisCorners()
: <a class="el" href="classarm__compute_1_1_n_e_harris_corners.xhtml#a2e2017552e622fdfca6e14066fb83806">NEHarrisCorners</a>
@@ -627,13 +635,13 @@
: <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#af0910be59a50b6932abeb71587cbfa0a">NEHeightConcatenateLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_height_concatenate_layer_kernel.xhtml#af5f157aea366faa1fa7fa5ab9cf9fb55">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#ad671a80d59ee10144e810003ead8fb57">NEHistogramKernel</a>
+: <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>
@@ -642,7 +650,7 @@
: <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#a9d877f98deeda19e56f5da68fb21a939">NEHOGDetectorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a2c0f4bf7e37cb04bf2384f4bc71b84d5">NEHOGDetectorKernel</a>
</li>
<li>NEHOGGradient()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ae5b673d17e79264048516b6e19e4f59e">NEHOGGradient</a>
@@ -657,19 +665,19 @@
: <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#aec5fb874227c941e8ac14de3d29e543b">NEIm2ColKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a82f0a27f278d1bb7d1457c24941289e4">NEIm2ColKernel</a>
</li>
<li>NEInstanceNormalizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_instance_normalization_layer.xhtml#ab8236e1d2a1a1598abeec2a2756d1be0">NEInstanceNormalizationLayer</a>
</li>
<li>NEInstanceNormalizationLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_instance_normalization_layer_kernel.xhtml#ac0135b17c8d5117a75b7605bad7d2068">NEInstanceNormalizationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_instance_normalization_layer_kernel.xhtml#a2fa181cd805058c4cf1705601ebd4576">NEInstanceNormalizationLayerKernel</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#a074123c53d349a9f418a7a269e331230">NEL2NormalizeLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a52cd2d465ac76389e383fda9997be37b">NEL2NormalizeLayerKernel</a>
</li>
<li>NELaplacianPyramid()
: <a class="el" href="classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#a4b03c61f02f3e0119fa71877abb9b4b8">NELaplacianPyramid</a>
@@ -681,7 +689,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a10e6214af1515f5916f93dddd1bb3124">NELKTrackerKernel</a>
</li>
<li>NELocallyConnectedLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a0115186dd4cd64fcca9f32216f5d6639">NELocallyConnectedLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a477dfb4eac212309023a3a1ca6284d9c">NELocallyConnectedLayer</a>
</li>
<li>NELocallyConnectedMatrixMultiplyKernel()
: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a3acd16d134e4f9fcca7a2929375194dd">NELocallyConnectedMatrixMultiplyKernel</a>
@@ -690,28 +698,28 @@
: <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#a6c27f2243845b964e4cefe5e9d5937a4">NELogits1DSoftmaxKernel< IS_LOG ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a83bde72fd3fc3d67311f78315eafd23c">NELogits1DSoftmaxKernel< IS_LOG ></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#a01dc51925d2ef0293626d14bafa27c1d">NELSTMLayerQuantized</a>
+: <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>
+: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a53c147feec3c6f2912779194fa2b5513">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>
</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#a1a1acc45068c69bc66b6d5d530d7b63f">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#abb0abf7cae549eaef4a4f2e9ed1ad57a">NEMemsetKernel</a>
+: <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#a14c484d0c1759b7163e3691ea1bb8bb5">NEMinMaxKernel</a>
@@ -723,19 +731,19 @@
: <a class="el" href="classarm__compute_1_1_n_e_min_max_location.xhtml#ae1e54926ff0f8534bbd3a97d9c0fdaa2">NEMinMaxLocation</a>
</li>
<li>NEMinMaxLocationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a6971de3cc78ca3734cc210752253f76b">NEMinMaxLocationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a4af86554efc6b1306d4342927e90c419">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#a96fdf0f338c5dc5cee8fc2cad8b37b6b">NENonLinearFilterKernel</a>
</li>
<li>NENonMaximaSuppression3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a23a87d0179856717eec69f3b960d3e78">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>
</li>
<li>NENormalizationLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a682ef2213a5c1fd804505e572ea45700">NENormalizationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab3498b8beb89599cee12a9e2ac083d88">NENormalizationLayerKernel</a>
</li>
<li>NEOpticalFlow()
: <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ab134eb1c572b0dde645c35795c486661">NEOpticalFlow</a>
@@ -744,13 +752,13 @@
: <a class="el" href="classarm__compute_1_1_n_e_pad_layer.xhtml#a79ddca98792472ac497d7acc81933398">NEPadLayer</a>
</li>
<li>NEPadLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_pad_layer_kernel.xhtml#a618832801e40d5fbade6782b35608688">NEPadLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_pad_layer_kernel.xhtml#a3b8bcb9ac9b453b301fa580e294f1645">NEPadLayerKernel</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>
+: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a032fb6504d12ca1244b2d7d82609f062">NEPixelWiseMultiplicationKernel</a>
</li>
<li>NEPoolingLayer()
: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml#adfb415099e7d78f4444e0fb45e405091">NEPoolingLayer</a>
@@ -762,7 +770,7 @@
: <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#a58becea6aa8b26797d861f1ca4c2cab2">NEPriorBoxLayerKernel</a>
</li>
<li>NEQuantizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer.xhtml#a3f25412d98888fd34c42e9d22708c73b">NEQuantizationLayer</a>
@@ -774,7 +782,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_range.xhtml#a1676ab701fe81cd955c7430a235e6f98">NERange</a>
</li>
<li>NERangeKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_range_kernel.xhtml#af660b39e4c42654f02b29d271960586d">NERangeKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_range_kernel.xhtml#a11373aa68209de39e80ac85218675719">NERangeKernel</a>
</li>
<li>NEReduceMean()
: <a class="el" href="classarm__compute_1_1_n_e_reduce_mean.xhtml#a1f208adec0739b6ce732abb5cc8e5a58">NEReduceMean</a>
@@ -786,25 +794,25 @@
: <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#a02121cbb8760314f74f08d6b36a2cbbc">NERemapKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#aca07bf938309c22c50104ed93b7d3d1e">NERemapKernel</a>
</li>
<li>NEReorgLayerKernel()
: <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>NEROIAlignLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_align_layer_kernel.xhtml#af1216fd502e7b1d2c13e4fb2f512694a">NEROIAlignLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_align_layer_kernel.xhtml#a2c9fca97ab8199dfbfc8ea0ed6c7ef39">NEROIAlignLayerKernel</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#af874f9c0aae8f8ba2bceb87abfb5e6ce">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>
@@ -813,7 +821,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#afaad06478be3721ab81bb31303e3036d">NEScaleKernel</a>
</li>
<li>NEScharr3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aafe178454cd5eadaf3e80e39e46b3b45">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#a28e79640a392e4574acaca0481d4a45f">NESelectKernel</a>
@@ -828,7 +836,7 @@
: <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#a517dc6cf8dd14439b40ba8c06ead5810">NESobel3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a4bc884b1fc83db1d51ed40243d8c4be8">NESobel3x3Kernel</a>
</li>
<li>NESobel5x5()
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5.xhtml#a60dc311f2ae26bf9447df0e95ad631de">NESobel5x5</a>
@@ -837,7 +845,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a5f9e4b85f76463d3aab250f0f9a4873e">NESobel5x5HorKernel</a>
</li>
<li>NESobel5x5VertKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a2ff0db37338bc4f3cbc18e51ce0317ae">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>
@@ -849,49 +857,46 @@
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a667242192107c5f9fb8368eaccca2103">NESobel7x7VertKernel</a>
</li>
<li>NESoftmaxLayerGeneric()
-: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer_generic.xhtml#a9bec0916cfb2b6eaa1bb206eb3f46137">NESoftmaxLayerGeneric< IS_LOG ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer_generic.xhtml#a7c9adf4f66fd46e17547e59f262ad527">NESoftmaxLayerGeneric< IS_LOG ></a>
</li>
<li>NESpaceToBatchLayer()
: <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#a9d7619704a08be815c734f970e0ba00d">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#a01bc1fbbdfd348c11de830e0bf7faf6a">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>
+: <a class="el" href="classarm__compute_1_1_n_e_space_to_depth_layer_kernel.xhtml#ad7db0bce46ded2b28b7ef2c0b516630b">NESpaceToDepthLayerKernel</a>
</li>
<li>NEStackLayer()
: <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#aea1faaeb5ab2a24b3ff9d339682db06c">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#a11dfc78ade713bbd49a799605736425a">NEStridedSliceKernel</a>
</li>
<li>NESubTensorHandle()
-: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a2f55bff8083e46405832ce52c9a92a91">NESubTensorHandle</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a6595e78bf2c01da58c8f3ea4eb90456d">NESubTensorHandle</a>
</li>
<li>NETableLookupKernel()
: <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a74990bcb63bbbc6042000a9fb7207507">NETableLookupKernel</a>
</li>
<li>NETensorHandle()
-: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a7589aedeac35ee91015d3dd625a9abcd">NETensorHandle</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a63371c7bf5bea4ba7c5822bd5067124d">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#a32733ae7a20e85a071a80feee1964952">NETileKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_tile_kernel.xhtml#a8e999067ec3b8a7f2bbf7f4b88a4fe43">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>
@@ -900,28 +905,28 @@
: <a class="el" href="classarm__compute_1_1_n_e_upsample_layer.xhtml#a0e6dc893a9d100e940ef58f6df26c31a">NEUpsampleLayer</a>
</li>
<li>NEUpsampleLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a9f5431235d9fecd59a74cec4f370fef1">NEUpsampleLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a26b1f06d595afa9c4bef0980327305f8">NEUpsampleLayerKernel</a>
</li>
<li>NEWeightsReshapeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a4d7fc5f87332371306c0b2bf907c7603">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>
</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#a40aff3f958efb262a020826b1d1026bd">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <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#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#ad256323e144f8ca87d59877b58a8aa6b">NEYOLOLayerKernel</a>
</li>
<li>nms()
: <a class="el" href="classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a90dc98d4ae6b7ab06d5e089378817672">BoxNMSLimitInfo</a>
@@ -950,6 +955,7 @@
, <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>
+, <a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">SoftmaxLayerNode</a>
</li>
<li>nodes()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a6d22ee22d20bf807639eee8a611229af">Graph</a>
@@ -1067,6 +1073,7 @@
<li>num_iterations
: <a class="el" href="structarm__compute_1_1_optical_flow_parameters.xhtml#a22fec0af810a755e77ecbb7179c193d4">OpticalFlowParameters</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ab803db44aeb4ad8cd93193be5eaf0fb7">Framework</a>
+, <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_framework_config.xhtml#ab702e2f7530d6172eea3780d8923bd71">FrameworkConfig</a>
, <a class="el" href="classarm__compute_1_1_window.xhtml#a2fb4b3d6b185c9d225073f923f1827c3">Window</a>
</li>
<li>num_iterations_total()
@@ -1118,10 +1125,10 @@
, <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#ad12e8048537cfc3c0d1935aa0e63a1ee">NumPyAccessor</a>
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#a8a339f337aa264ea978a648e39df90f2">NumPyAccessor</a>
</li>
<li>NumPyBinLoader()
-: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a>
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#abf92dad7656a4a25c3aa3d1112ef06e5">NumPyBinLoader</a>
</li>
<li>Nx
: <a class="el" href="structarm__compute_1_1_f_f_t_radix_stage_kernel_info.xhtml#a42dd423975e5b0e0d9564e5566c9917a">FFTRadixStageKernelInfo</a>
@@ -1132,7 +1139,7 @@
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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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