arm_compute v19.05
diff --git a/documentation/functions_n.xhtml b/documentation/functions_n.xhtml
index 74d7e98..277b242 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">19.02</span>
+  <span id="projectnumber">19.05</span>
</div>
</td>
</tr>
@@ -139,6 +139,7 @@
, <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_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>
, <a class="el" href="classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBitwiseNotKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBitwiseOrKernel</a>
@@ -149,10 +150,12 @@
, <a class="el" href="classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEChannelShuffleLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NECol2ImKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEColorConvertKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_complex_pixel_wise_multiplication_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEComplexPixelWiseMultiplicationKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEConvertFullyConnectedWeightsKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEConvolutionKernel< matrix_size ></a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEConvolutionRectangleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_copy_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NECopyKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NECropKernel</a>
, <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>
@@ -171,6 +174,9 @@
, <a class="el" href="classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEElementwiseUnaryKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_erode_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEErodeKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFastCornersKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_f_f_t_digit_reverse_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFFTDigitReverseKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFFTRadixStageKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_f_f_t_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFFTScaleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillArrayKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillBorderKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillInnerBorderKernel</a>
@@ -189,6 +195,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpMatrixBReductionKernel</a>
, <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_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>
@@ -198,6 +205,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMTranspose1xWKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGradientKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHarrisScoreKernel< block_size ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_height_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHeightConcatenateLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHistogramKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHOGBlockNormalizationKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHOGDetectorKernel</a>
@@ -241,6 +249,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel5x5VertKernel</a>
, <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_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>
@@ -299,6 +308,9 @@
<li>NEBatchNormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>
</li>
+<li>NEBatchToSpaceLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_batch_to_space_layer_kernel.xhtml#aea7336a4304d22fa520f9ff913d69fcd">NEBatchToSpaceLayerKernel</a>
+</li>
<li>NEBitwiseAndKernel()
: <a class="el" href="classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a1b109ddb7c5e104d2f294cdb4b3c8046">NEBitwiseAndKernel</a>
</li>
@@ -332,6 +344,9 @@
<li>NEComparisonOperationKernel()
: <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>
+</li>
<li>NEConcatenateLayer()
: <a class="el" href="classarm__compute_1_1_n_e_concatenate_layer.xhtml#a323553c0bffc8dda63242a297512d151">NEConcatenateLayer</a>
</li>
@@ -359,6 +374,12 @@
<li>NECopyKernel()
: <a class="el" href="classarm__compute_1_1_n_e_copy_kernel.xhtml#a22126bdabb442f291635573bf92a2041">NECopyKernel</a>
</li>
+<li>NECropKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#ad8887523c29f0065e3557ca800c4b042">NECropKernel</a>
+</li>
+<li>NECropResize()
+: <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>
</li>
@@ -377,11 +398,14 @@
<li>NEDepthConvertLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a32920cbfb827224a7b09311658871b40">NEDepthConvertLayerKernel</a>
</li>
+<li>NEDepthwiseConvolutionAssemblyDispatch()
+: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_assembly_dispatch.xhtml#a4e3fd833ab574a3299997f4a4faf83df">NEDepthwiseConvolutionAssemblyDispatch</a>
+</li>
<li>NEDepthwiseConvolutionLayer()
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aaa71284f868a7571de11d6230081a008">NEDepthwiseConvolutionLayer</a>
</li>
<li>NEDepthwiseConvolutionLayer3x3()
-: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a2d926f57bc16961f74798f4207c0b9e2">NEDepthwiseConvolutionLayer3x3</a>
+: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#aaae1ef44e59de27d8f2889df03444b7e">NEDepthwiseConvolutionLayer3x3</a>
</li>
<li>NEDepthwiseConvolutionLayer3x3Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#abf0a671d5f84d64b22c1baacbc30d42c">NEDepthwiseConvolutionLayer3x3Kernel</a>
@@ -393,14 +417,11 @@
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#aafa2f3a8b43b033f84032a4082984d8c">NEDepthwiseSeparableConvolutionLayer</a>
</li>
<li>NEDepthwiseVectorToTensorKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#aba1156040d401f8507f64dbfcdf30f00">NEDepthwiseVectorToTensorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a45211656df43f2757693a69f39c175da">NEDepthwiseVectorToTensorKernel</a>
</li>
<li>NEDepthwiseWeightsReshapeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#ae357794bb7bc6e3053d54fc62f5c4db0">NEDepthwiseWeightsReshapeKernel</a>
</li>
-<li>NEDequantizationLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer.xhtml#a3815ed964e16372e0c2769a69e0373de">NEDequantizationLayer</a>
-</li>
<li>NEDequantizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#afb04616ade20ec68717dde3bbfca541b">NEDequantizationLayerKernel</a>
</li>
@@ -449,6 +470,24 @@
<li>NEFastCornersKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ad7651a9d61e2bbc1debf8aeea2594ae4">NEFastCornersKernel</a>
</li>
+<li>NEFFT1D()
+: <a class="el" href="classarm__compute_1_1_n_e_f_f_t1_d.xhtml#a39c0ec3e9d531af3b96d375aec9de7b9">NEFFT1D</a>
+</li>
+<li>NEFFT2D()
+: <a class="el" href="classarm__compute_1_1_n_e_f_f_t2_d.xhtml#a01212a054fa3a8003a01d7ff426a1e0a">NEFFT2D</a>
+</li>
+<li>NEFFTConvolutionLayer()
+: <a class="el" href="classarm__compute_1_1_n_e_f_f_t_convolution_layer.xhtml#abf5b3544ece1ef65b6388a9967d48575">NEFFTConvolutionLayer</a>
+</li>
+<li>NEFFTDigitReverseKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_f_f_t_digit_reverse_kernel.xhtml#a9217160306107b2e11bfc20d8cea0a60">NEFFTDigitReverseKernel</a>
+</li>
+<li>NEFFTRadixStageKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml#af468d81666acbd45c4b9fa36159a4e0f">NEFFTRadixStageKernel</a>
+</li>
+<li>NEFFTScaleKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_f_f_t_scale_kernel.xhtml#a3e8a165293cb85d3d2e97ec861cd9eff">NEFFTScaleKernel</a>
+</li>
<li>NEFillArrayKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a3977e850ced9f5b343b76a93b0754ca0">NEFillArrayKernel</a>
</li>
@@ -501,46 +540,52 @@
: <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#af4d64dcaa798d09b11067f19b3c48ebe">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>
</li>
<li>NEGEMMInterleavedWrapper()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#a0d1a7b2eca4504d463fde5bed41c43df">NEGEMMInterleavedWrapper</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#a088148055d3bdf42760f8dddcc7ba662">NEGEMMInterleavedWrapper</a>
</li>
<li>NEGEMMLowpAssemblyMatrixMultiplyCore()
: <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#a7d07d7fef064043cb810851831be5868">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>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>
</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>
</li>
<li>NEGEMMMatrixAdditionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab2165f92396a03786cf5e499c4d0e62c">NEGEMMMatrixAdditionKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a0b3c2d43b065aefa8c68e0bc7488794e">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>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a24f041a22aab638f430bfd66897b5f54">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#a65033b645497768758fcf14d4d25eede">NEGEMMMatrixVectorMultiplyKernel</a>
</li>
<li>NEGradientKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b">NEGradientKernel</a>
@@ -551,11 +596,14 @@
<li>NEHarrisScoreKernel()
: <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>
+</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>
@@ -564,7 +612,7 @@
: <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>
@@ -573,13 +621,13 @@
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#ab89e2f74cd1d706e49bfe182c2923789">NEHOGMultiDetection</a>
</li>
<li>NEHOGOrientationBinningKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a5a1b3543ffcd941a0f3b5bc2b058c92e">NEHOGOrientationBinningKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#afc6437925dc58e28a8d317e9ef64560f">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#aec5fb874227c941e8ac14de3d29e543b">NEIm2ColKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a82f0a27f278d1bb7d1457c24941289e4">NEIm2ColKernel</a>
</li>
<li>NEL2NormalizeLayer()
: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad15dc31c9ce02a1afd5762b64a11c1c4">NEL2NormalizeLayer</a>
@@ -594,13 +642,13 @@
: <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#a10e6214af1515f5916f93dddd1bb3124">NELKTrackerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a5c272fb952051d6a06370c2fdb267c96">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#ad23c1537e7f95401ebb2a7850e6dd25f">NELocallyConnectedMatrixMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a3acd16d134e4f9fcca7a2929375194dd">NELocallyConnectedMatrixMultiplyKernel</a>
</li>
<li>NELogits1DMaxKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a7dcfcda37359d31c2510ad865f4ca051">NELogits1DMaxKernel</a>
@@ -612,7 +660,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#a8d8d5b5c66b732b3fc9494b0e743ed3f">NELSTMLayer</a>
</li>
<li>NEMagnitudePhaseKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#aebf700d44017c1ff38ad0d3741aaac56">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>
@@ -624,7 +672,7 @@
: <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>
+: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a6838da666c340e4d73e8779d710a2dfd">NEMinMaxKernel</a>
</li>
<li>NEMinMaxLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a7595e6658a34d7fea57ae6b7e9df9753">NEMinMaxLayerKernel</a>
@@ -633,19 +681,19 @@
: <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#a4af86554efc6b1306d4342927e90c419">NEMinMaxLocationKernel</a>
+: <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>
</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#ab3498b8beb89599cee12a9e2ac083d88">NENormalizationLayerKernel</a>
+: <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>
@@ -657,7 +705,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#a53592f2e423ddbeffcc472cf7cbfb88c">NEPermuteKernel</a>
</li>
<li>NEPixelWiseMultiplicationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a75e09a8ec40fb21b0f71421960b540a6">NEPixelWiseMultiplicationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ac23503429643fa0415fd64b1fc17e40c">NEPixelWiseMultiplicationKernel</a>
</li>
<li>NEPoolingLayer()
: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml#adfb415099e7d78f4444e0fb45e405091">NEPoolingLayer</a>
@@ -666,19 +714,19 @@
: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a8002aba3f59c078c9899ad236ba67174">NEPoolingLayerKernel</a>
</li>
<li>NEPriorBoxLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a58becea6aa8b26797d861f1ca4c2cab2">NEPriorBoxLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a401f637e0355c63320ddffe30bd67a1a">NEPriorBoxLayerKernel</a>
</li>
<li>NEQuantizationLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer.xhtml#abbcc94a884fd97848c9958b238c3a3c9">NEQuantizationLayer</a>
+: <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#afd7a141d3777f3622c3f9fafc0ce4d0f">NEQuantizationLayerKernel</a>
</li>
<li>NERange()
: <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#a487a8c396605f8268fe39579da635416">NERangeKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_range_kernel.xhtml#af660b39e4c42654f02b29d271960586d">NERangeKernel</a>
</li>
<li>NEReduceMean()
: <a class="el" href="classarm__compute_1_1_n_e_reduce_mean.xhtml#a1f208adec0739b6ce732abb5cc8e5a58">NEReduceMean</a>
@@ -690,16 +738,16 @@
: <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#af892b3094dc3ab5b8eea6f0d9ab4b47d">NERemapKernel</a>
+: <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#aed444eb1920a454c0f12b13f164d3d41">NEReorgLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aafc1f67c7d146d6764384e5a06a49ffd">NEReorgLayerKernel</a>
</li>
<li>NEReverseKernel()
: <a class="el" href="classarm__compute_1_1_n_e_reverse_kernel.xhtml#ab6e36387ad2fb4314db95c574f7ce598">NEReverseKernel</a>
</li>
<li>NERNNLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ab6231543c4071f67f7acd1b868017185">NERNNLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a22580824d9d7f1d67c3db8ac601113b3">NERNNLayer</a>
</li>
<li>NEROIPoolingLayer()
: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a25e24d127134f9fd599195250c19444b">NEROIPoolingLayer</a>
@@ -711,13 +759,13 @@
: <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#afaad06478be3721ab81bb31303e3036d">NEScaleKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#a025ceb246f7b80a3cb765d33d6a5cfe4">NEScaleKernel</a>
</li>
<li>NEScharr3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a625e12a0c7ab061154b39f47a4a11309">NEScharr3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aa92e67ceef8ce3ddbee234f9f3a28220">NEScharr3x3Kernel</a>
</li>
<li>NESelectKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_select_kernel.xhtml#a28e79640a392e4574acaca0481d4a45f">NESelectKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_select_kernel.xhtml#a256e504154f112b56aad2edc13cbce5a">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>
@@ -729,7 +777,7 @@
: <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#a4bc884b1fc83db1d51ed40243d8c4be8">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>
@@ -738,7 +786,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a8dea438b6d74a45c8315643c5ffbc54b">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#aefe5ee52a24df017a67c5fe79ac0d19f">NESobel5x5VertKernel</a>
</li>
<li>NESobel7x7()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7.xhtml#a999f68b754259bb7c0a1003e51a31c99">NESobel7x7</a>
@@ -752,6 +800,12 @@
<li>NESoftmaxLayer()
: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a09c32ef2afaa6952b300d15b48acb03a">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>
+</li>
<li>NESplit()
: <a class="el" href="classarm__compute_1_1_n_e_split.xhtml#ad89d8795f247b61e5aeba5f12ae1fd15">NESplit</a>
</li>
@@ -768,7 +822,7 @@
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#aba3a7c20ba3c19a5f3db801dd49b0c2c">NESubTensorHandle</a>
</li>
<li>NETableLookupKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a74990bcb63bbbc6042000a9fb7207507">NETableLookupKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#aee2586f6c778ffab9ee3adbc2a6790a1">NETableLookupKernel</a>
</li>
<li>NETensorHandle()
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a63371c7bf5bea4ba7c5822bd5067124d">NETensorHandle</a>
@@ -780,7 +834,7 @@
: <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#a3a5122ad042e8f04a6cd96980bce3d49">NETransposeKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a46381b755f709be78595e61225c71afe">NETransposeKernel</a>
</li>
<li>NEUnstack()
: <a class="el" href="classarm__compute_1_1_n_e_unstack.xhtml#a9fe1c034f87de9f4f8f123df10aa624b">NEUnstack</a>
@@ -789,7 +843,7 @@
: <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#a26b1f06d595afa9c4bef0980327305f8">NEUpsampleLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a9f5431235d9fecd59a74cec4f370fef1">NEUpsampleLayerKernel</a>
</li>
<li>NEWeightsReshapeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a4d7fc5f87332371306c0b2bf907c7603">NEWeightsReshapeKernel</a>
@@ -801,19 +855,19 @@
: <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a080d64d53708f5342742ff62444f4d18">NEWidthConcatenateLayerKernel</a>
</li>
<li>NEWinogradConvolutionLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#ab363cda8398693d470a3e76b538b7615">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>
</li>
<li>NEWinogradLayerTransformOutputKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ad43288f41b7994926d5a9c8dc97b57cb">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#ad25daf413f7dd45f084ae22a25b8bbe5">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>
@@ -832,12 +886,14 @@
: <a class="el" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">NodeIdxPair</a>
</li>
<li>node_type
-: <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">BatchNormalizationLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">ActivationLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">BatchNormalizationLayerNode</a>
, <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>
</li>
<li>nodes()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ade14fa2a9cfc10e208ef2ebfeb0f8ba1">Graph</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">Graph</a>
</li>
<li>norm_size()
: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a7c3edc4b354dda6c7285541f4f0e5c43">NormalizationLayerInfo</a>
@@ -909,6 +965,7 @@
, <a class="el" href="classarm__compute_1_1test_1_1_g_c_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">GCAccessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">IAccessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">SimpleTensor< T ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">SimpleTensorAccessor< T ></a>
</li>
<li>num_classes()
: <a class="el" href="classarm__compute_1_1_detection_output_layer_info.xhtml#a2411dd5edb9ccb581d303f3396e9c14c">DetectionOutputLayerInfo</a>
@@ -937,10 +994,12 @@
, <a class="el" href="classarm__compute_1_1test_1_1_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">LutAccessor< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">RawLutAccessor< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">SimpleTensor< T ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">SimpleTensorAccessor< T ></a>
</li>
<li>num_groups()
: <a class="el" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80">ChannelShuffleLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80">ConvolutionLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80">FusedConvolutionBatchNormalizationNode</a>
</li>
<li>num_inputs()
: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">INode</a>
@@ -1001,7 +1060,10 @@
: <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#abf92dad7656a4a25c3aa3d1112ef06e5">NumPyBinLoader</a>
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a>
+</li>
+<li>Nx
+: <a class="el" href="structarm__compute_1_1_f_f_t_radix_stage_kernel_info.xhtml#a42dd423975e5b0e0d9564e5566c9917a">FFTRadixStageKernelInfo</a>
</li>
</ul>
</div><!-- contents -->
@@ -1009,7 +1071,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Thu Feb 28 2019 12:25:07 for Compute Library by
+ <li class="footer">Generated on Thu May 23 2019 17:11:38 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>