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gerrit-public.fairphone.software / platform / external / ComputeLibrary / 975dfe175e3d7c62c27598b1c0e8e77ed90df463^! / . / documentation / functions_c.xhtml
commit975dfe175e3d7c62c27598b1c0e8e77ed90df463[log] [tgz]
authorJenkins <bsgcomp@arm.com>Mon Sep 02 11:47:54 2019 +0100
committerJenkins <bsgcomp@arm.com>Mon Sep 02 11:47:54 2019 +0100
tree3a7a8bd660c08b4b2ba68ed6a260ac2dd440c3ad
parent4ba87dbdc3b22220eba4a792c1f5c87e7a88c7af [diff] [blame]
arm_compute v19.08

diff --git a/documentation/functions_c.xhtml b/documentation/functions_c.xhtml
index 1373fba..c0f6228 100644
--- a/documentation/functions_c.xhtml
+++ b/documentation/functions_c.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">
-   &#160;<span id="projectnumber">19.05</span>
+   &#160;<span id="projectnumber">19.08</span>
    </div>
   </td>
  </tr>
@@ -118,6 +118,9 @@
 : <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d">Dimensions&lt; T &gt;</a>
 , <a class="el" href="classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a366939ad933c898354422dbf1e97ef5f">reverse_iterable&lt; T &gt;</a>
 </li>
+<li>cell_layer_norm_weights()
+: <a class="el" href="classarm__compute_1_1_l_s_t_m_params.xhtml#abd478bedc7c65b72ead0d05cbd16d437">LSTMParams&lt; T &gt;</a>
+</li>
 <li>cell_size()
 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#aaefa291ad3cc3e3210c8b8ef2ffde476">HOGInfo</a>
 </li>
@@ -160,7 +163,7 @@
 </li>
 <li>cl_model()
 : <a class="el" href="classarm__compute_1_1_c_l_multi_h_o_g.xhtml#adad8ea183b0bc45d9d515f3ed451e24c">CLMultiHOG</a>
-, <a class="el" href="classarm__compute_1_1_i_c_l_multi_h_o_g.xhtml#aec23164646e42c512d783eda60017f7e">ICLMultiHOG</a>
+, <a class="el" href="classarm__compute_1_1_i_c_l_multi_h_o_g.xhtml#a5ae9e122f1b39908b8602cc0acc035c8">ICLMultiHOG</a>
 </li>
 <li>cl_plane()
 : <a class="el" href="classarm__compute_1_1_c_l_multi_image.xhtml#a70f036263783a4fdb84a55852154a9f3">CLMultiImage</a>
@@ -187,17 +190,20 @@
 <li>CLArrayAccessor()
 : <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a37b446cf629a04c7f1551e6e59b189cf">CLArrayAccessor&lt; T &gt;</a>
 </li>
+<li>CLBatchConcatenateLayerKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_batch_concatenate_layer_kernel.xhtml#aeebe156c857e76fa6ee8f55ba654dbbc">CLBatchConcatenateLayerKernel</a>
+</li>
 <li>CLBatchNormalizationLayer()
 : <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#aa75c9e345235e7031d6489425e53645a">CLBatchNormalizationLayer</a>
 </li>
 <li>CLBatchNormalizationLayerKernel()
-: <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#ab987e77a362a53aa778193528bd8bb55">CLBatchNormalizationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a8c69414da8666f8ce8b86555cada813d">CLBatchNormalizationLayerKernel</a>
 </li>
 <li>CLBatchToSpaceLayer()
 : <a class="el" href="classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ae7fa37c2dd9facc5238a71394a2a94d1">CLBatchToSpaceLayer</a>
 </li>
 <li>CLBatchToSpaceLayerKernel()
-: <a class="el" href="classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#ad0fc449bc68b70719a5288af986ac6be">CLBatchToSpaceLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a4177ee8d11d84bf88d1ab07a71794a43">CLBatchToSpaceLayerKernel</a>
 </li>
 <li>CLBitwiseAndKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#ac869cc631a8124614900ad6f2c463882">CLBitwiseAndKernel</a>
@@ -275,7 +281,7 @@
 : <a class="el" href="classarm__compute_1_1_c_l_copy_kernel.xhtml#adaabffe63a3aa29aa977cbfaeb00bc0f">CLCopyKernel</a>
 </li>
 <li>CLCopyToArrayKernel()
-: <a class="el" href="classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#ad415131ea86e6ea86d5ebb8323e24d98">CLCopyToArrayKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#ae6053af1378d0f87cdf91960151f6dfe">CLCopyToArrayKernel</a>
 </li>
 <li>clCreateBuffer_ptr
 : <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a301b84af701238b357de87434d0327a9">CLSymbols</a>
@@ -316,12 +322,15 @@
 <li>CLDeconvolutionReshapeOutputKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_deconvolution_reshape_output_kernel.xhtml#aad4c15eb81f366edc86632e8f5be6cf1">CLDeconvolutionReshapeOutputKernel</a>
 </li>
-<li>CLDepthConcatenateLayer()
-: <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#a59330f009ee600700828b178f60a9b58">CLDepthConcatenateLayer</a>
-</li>
 <li>CLDepthConcatenateLayerKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a8e3fa88d9dd4a7d185096527ed7c5be4">CLDepthConcatenateLayerKernel</a>
 </li>
+<li>CLDepthToSpaceLayer()
+: <a class="el" href="classarm__compute_1_1_c_l_depth_to_space_layer.xhtml#ad4c5095cc0a20777fd6d6a0188581410">CLDepthToSpaceLayer</a>
+</li>
+<li>CLDepthToSpaceLayerKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_depth_to_space_layer_kernel.xhtml#a5d98f7750a4a337ca4b9a2522fb6f486">CLDepthToSpaceLayerKernel</a>
+</li>
 <li>CLDepthwiseConvolutionLayer()
 : <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a0d4e3a90bcdef691edfe09c701088e74">CLDepthwiseConvolutionLayer</a>
 </li>
@@ -518,15 +527,15 @@
 <li>CLGEMMDeconvolutionLayer()
 : <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_deconvolution_layer.xhtml#ad861c83138c823ed91ed39c47a2be0e4">CLGEMMDeconvolutionLayer</a>
 </li>
-<li>CLGEMMInterleave4x4Kernel()
-: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a4023b128129764d7d24882a5642fe49f">CLGEMMInterleave4x4Kernel</a>
-</li>
 <li>CLGEMMLowpMatrixMultiplyCore()
 : <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a1c3a177d5a3188691c9946e1a78839d0">CLGEMMLowpMatrixMultiplyCore</a>
 </li>
 <li>CLGEMMLowpMatrixMultiplyKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a759d01d5376a17c7b81131212588810a">CLGEMMLowpMatrixMultiplyKernel</a>
 </li>
+<li>CLGEMMLowpMatrixMultiplyNativeKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_native_kernel.xhtml#a1e16577e08f6f2d1ef6957b065c826fc">CLGEMMLowpMatrixMultiplyNativeKernel</a>
+</li>
 <li>CLGEMMLowpMatrixMultiplyReshapedKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#af7c1cf2778fc2159d1336d6448c419b9">CLGEMMLowpMatrixMultiplyReshapedKernel</a>
 </li>
@@ -539,6 +548,9 @@
 <li>CLGEMMLowpOffsetContributionOutputStageKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#ad13d9bf75d0bf932ec94098c3f21c780">CLGEMMLowpOffsetContributionOutputStageKernel</a>
 </li>
+<li>CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel.xhtml#aafaee54f4f87b0c82b50196e81cd42ac">CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel</a>
+</li>
 <li>CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a48634394ac631876524f3b4e4e5ce5f7">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
 </li>
@@ -557,6 +569,9 @@
 <li>CLGEMMMatrixMultiplyKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#ac46a1c8a20b46838c9e894f703ddd3ee">CLGEMMMatrixMultiplyKernel</a>
 </li>
+<li>CLGEMMMatrixMultiplyNativeKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_native_kernel.xhtml#acf29c1f4b0ed7fc87698b4adf4a5ed98">CLGEMMMatrixMultiplyNativeKernel</a>
+</li>
 <li>CLGEMMMatrixMultiplyReshapedKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a6052d8909515e8ed38201f4429eb0267">CLGEMMMatrixMultiplyReshapedKernel</a>
 </li>
@@ -566,6 +581,9 @@
 <li>CLGEMMMatrixVectorMultiplyKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a197b8558b1806d275f421b0667d201b2">CLGEMMMatrixVectorMultiplyKernel</a>
 </li>
+<li>CLGEMMNativeKernelConfigurationBifrost()
+: <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_native_kernel_configuration_bifrost.xhtml#a6591c0acd6f7acf7ea400b395a4ccd31">CLGEMMNativeKernelConfigurationBifrost</a>
+</li>
 <li>CLGEMMReshapedKernelConfigurationBifrost()
 : <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_kernel_configuration_bifrost.xhtml#a15532f99f36fb1b5954a4597f2d40888">CLGEMMReshapedKernelConfigurationBifrost</a>
 </li>
@@ -716,6 +734,9 @@
 <li>CLLSTMLayer()
 : <a class="el" href="classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#af2e2a062e461a6369a4f2fd330b4e422">CLLSTMLayer</a>
 </li>
+<li>CLLSTMLayerQuantized()
+: <a class="el" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#a9e382561b8278103570de8550f83e718">CLLSTMLayerQuantized</a>
+</li>
 <li>CLLut()
 : <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a0d6c553d858ee767dfd8c13114353556">CLLut</a>
 </li>
@@ -743,6 +764,9 @@
 <li>CLMeanStdDevKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a28577b89be9497a1f28902c996f37457">CLMeanStdDevKernel</a>
 </li>
+<li>CLMeanStdDevNormalizationKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_mean_std_dev_normalization_kernel.xhtml#a571ed2ba037b24cb7bc3b7d0e926e5e0">CLMeanStdDevNormalizationKernel</a>
+</li>
 <li>CLMemory()
 : <a class="el" href="classarm__compute_1_1_c_l_memory.xhtml#a591dac78f4c0e06908f0a3e577605f50">CLMemory</a>
 </li>
@@ -802,7 +826,7 @@
 : <a class="el" href="classarm__compute_1_1_c_l_pad_layer.xhtml#ae9f904daf8cd24be8972f9d694d02390">CLPadLayer</a>
 </li>
 <li>CLPermuteKernel()
-: <a class="el" href="classarm__compute_1_1_c_l_permute_kernel.xhtml#aa932a2891c439411bed8e4b2da853580">CLPermuteKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_permute_kernel.xhtml#a155aa76403dc4051493ffb37389a27c7">CLPermuteKernel</a>
 </li>
 <li>CLPixelWiseMultiplicationKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a70cf3d6c93ca36362e7ea84c5259bb45">CLPixelWiseMultiplicationKernel</a>
@@ -819,6 +843,9 @@
 <li>CLPyramid()
 : <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#a24edddb8cac90e092ecbd4a2d2a1ce59">CLPyramid</a>
 </li>
+<li>CLQuantization()
+: <a class="el" href="structarm__compute_1_1_c_l_quantization.xhtml#af151bb21b4fe08e9f87ba29b805a8738">CLQuantization</a>
+</li>
 <li>CLQuantizationLayerKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#aec2ad990f91ebeb1c5e26426bcb9529c">CLQuantizationLayerKernel</a>
 </li>
@@ -936,6 +963,12 @@
 <li>CLSpaceToBatchLayerKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a676bf60c6e27d4a74704b7a73aa87a26">CLSpaceToBatchLayerKernel</a>
 </li>
+<li>CLSpaceToDepthLayer()
+: <a class="el" href="classarm__compute_1_1_c_l_space_to_depth_layer.xhtml#ab6c521c37a2109b7985b31dfcae4dd73">CLSpaceToDepthLayer</a>
+</li>
+<li>CLSpaceToDepthLayerKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_space_to_depth_layer_kernel.xhtml#a807c67559bba61029992a7fc079d17f4">CLSpaceToDepthLayerKernel</a>
+</li>
 <li>CLSplit()
 : <a class="el" href="classarm__compute_1_1_c_l_split.xhtml#ae59f9d138dbdf40c64af3ff48862be10">CLSplit</a>
 </li>
@@ -996,9 +1029,6 @@
 <li>CLWidthConcatenate4TensorsKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a948476c7ec566b023a4a19084faa17f3">CLWidthConcatenate4TensorsKernel</a>
 </li>
-<li>CLWidthConcatenateLayer()
-: <a class="el" href="classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#a13c4828072a7f8229748b08bf7e65a7c">CLWidthConcatenateLayer</a>
-</li>
 <li>CLWidthConcatenateLayerKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#ae285effa98167509759e102861bf0048">CLWidthConcatenateLayerKernel</a>
 </li>
@@ -1068,8 +1098,9 @@
 , <a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530">DeconvolutionLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a1cf6004dfffcf18d6c31a1d4c9f64e26">DepthwiseConvolutionLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#aac21d610e55242cebcc343d9a004db71">DetectionOutputLayerNode</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a93e83648d54591476e9757b3c2973339">FullyConnectedLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#abd7162842409e00f73b226a622f37544">FullyConnectedLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530">FusedConvolutionBatchNormalizationNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acff0248cbb86b870f1f6a897504db869">FusedDepthwiseConvolutionBatchNormalizationNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#ad887592cb4cdc3374806faf746ca9acd">PoolingLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a7ce797dcee923e64f870fa191634e731">PriorBoxLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#ad7492583a6f1f0f35f6e89829d4c379b">ReorgLayerNode</a>
@@ -1086,7 +1117,7 @@
 , <a class="el" href="classarm__compute_1_1_i_access_window.xhtml#ae2b4aabf2a14dce92e04c0eeb0ab73b9">IAccessWindow</a>
 </li>
 <li>compute_weights_descriptor()
-: <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a634ff2f1f48c7b5eeefcdb619cca9ade">FullyConnectedLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a52400aeb76f277dca0ad7df201c7a196">FullyConnectedLayerNode</a>
 </li>
 <li>ComputeAnchorsInfo()
 : <a class="el" href="classarm__compute_1_1_compute_anchors_info.xhtml#a754fb667b78b7376c989a3923d172ff9">ComputeAnchorsInfo</a>
@@ -1113,8 +1144,10 @@
 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a8f7f6ab59fc0e601d750b83e75a398eb">ICLKernel</a>
 </li>
 <li>configure()
-: <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_kernel_configuration_bifrost.xhtml#ab6d0980d5c4bff1c0e3284b895c36248">CLGEMMReshapedKernelConfigurationBifrost</a>
+: <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_native_kernel_configuration_bifrost.xhtml#ab6d0980d5c4bff1c0e3284b895c36248">CLGEMMNativeKernelConfigurationBifrost</a>
+, <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_kernel_configuration_bifrost.xhtml#ab6d0980d5c4bff1c0e3284b895c36248">CLGEMMReshapedKernelConfigurationBifrost</a>
 , <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_only_r_h_s_kernel_configuration_bifrost.xhtml#ab6d0980d5c4bff1c0e3284b895c36248">CLGEMMReshapedOnlyRHSKernelConfigurationBifrost</a>
+, <a class="el" href="classarm__compute_1_1_c_l_abs_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68">CLAbsLayer</a>
 , <a class="el" href="classarm__compute_1_1_c_l_absolute_difference.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1">CLAbsoluteDifference</a>
 , <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1">CLAbsoluteDifferenceKernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_accumulate.xhtml#a04e027a7698e425da35a2d1a4adf6c3c">CLAccumulate</a>
@@ -1130,9 +1163,10 @@
 , <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division.xhtml#aa08e0c678275eb37e8de42be52d76e35">CLArithmeticDivision</a>
 , <a class="el" href="classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a498e5769090f1436cc0191dfa5580c2e">CLArithmeticOperationKernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3">CLArithmeticSubtraction</a>
+, <a class="el" href="classarm__compute_1_1_c_l_batch_concatenate_layer_kernel.xhtml#aae78b4bdd551e907858735af8092a55e">CLBatchConcatenateLayerKernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18">CLBatchNormalizationLayer</a>
 , <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18">CLBatchNormalizationLayerKernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a8f62be2862965a1c3c81b683ad679170">CLBatchToSpaceLayer</a>
+, <a class="el" href="classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3">CLBatchToSpaceLayer</a>
 , <a class="el" href="classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3">CLBatchToSpaceLayerKernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_bitwise_and.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1">CLBitwiseAnd</a>
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 , <a class="el" href="classarm__compute_1_1_n_e_sobel3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0">NESobel3x3</a>
 , <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77">NESobel3x3Kernel</a>
@@ -1737,6 +1802,8 @@
 , <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#aa4aee9a6c9abb0cfbcbf1727de23070c">NESoftmaxLayer</a>
 , <a class="el" href="classarm__compute_1_1_n_e_space_to_batch_layer.xhtml#a3cdbaba62ca4bae792f5b1fa4e9d6591">NESpaceToBatchLayer</a>
 , <a class="el" href="classarm__compute_1_1_n_e_space_to_batch_layer_kernel.xhtml#a28fb0287c4ef3fb4711d8c0bb6a5d5a1">NESpaceToBatchLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_space_to_depth_layer.xhtml#a8a46dc197ff3560d50bc63b1123eb6e5">NESpaceToDepthLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_space_to_depth_layer_kernel.xhtml#a8a46dc197ff3560d50bc63b1123eb6e5">NESpaceToDepthLayerKernel</a>
 , <a class="el" href="classarm__compute_1_1_n_e_split.xhtml#a5bd6b3bb4aff01d28a839733a5590121">NESplit</a>
 , <a class="el" href="classarm__compute_1_1_n_e_stack_layer.xhtml#a85de06a39d55351708d5015bb75c7aa5">NEStackLayer</a>
 , <a class="el" href="classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a2d28b1667b7be3e16a3ff67596f6d62b">NEStackLayerKernel</a>
@@ -1756,7 +1823,6 @@
 , <a class="el" href="classarm__compute_1_1_n_e_warp_affine.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7">NEWarpAffine</a>
 , <a class="el" href="classarm__compute_1_1_n_e_warp_perspective.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7">NEWarpPerspective</a>
 , <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a82ef5733f0c6bf93473ec5f12c067338">NEWeightsReshapeKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#a76335aeca633fd0ec9e787315e0d4487">NEWidthConcatenateLayer</a>
 , <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a3b79db59a7b23f2d26d21c618343f40c">NEWidthConcatenateLayerKernel</a>
 , <a class="el" href="classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a49b542b1a17cd73034736acfa562a8ec">NEWinogradConvolutionLayer</a>
 , <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a2de2ab5ada4b5a360770b670af19b48d">NEWinogradLayerTransformInputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
@@ -1768,6 +1834,7 @@
 , <a class="el" href="classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f">CLSynthetizeFunctionWithZeroConstantBorder&lt; K, bordersize &gt;</a>
 , <a class="el" href="classarm__compute_1_1test_1_1_n_e_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484">NESynthetizeFunction&lt; K &gt;</a>
 , <a class="el" href="classarm__compute_1_1test_1_1_n_e_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f">NESynthetizeFunctionWithZeroConstantBorder&lt; K, bordersize &gt;</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_n_e_synthetize_function_with_zero_constant_kernel_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f">NESynthetizeFunctionWithZeroConstantKernelBorder&lt; K &gt;</a>
 </li>
 <li>configure_node()
 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#ad47ca77f85641c7e74f75986a28682e6">CLDeviceBackend</a>
@@ -1786,11 +1853,13 @@
 , <a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">DeconvolutionLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">DepthwiseConvolutionLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">DetectionOutputLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">DetectionPostProcessLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_dummy_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">DummyNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">EltwiseLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">FlattenLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">FullyConnectedLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">FusedConvolutionBatchNormalizationNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">FusedDepthwiseConvolutionBatchNormalizationNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">GenerateProposalsLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a98dd474c332ea76a71bd81b790d7e0d9">INode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_input_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">InputNode</a>
@@ -1801,6 +1870,7 @@
 , <a class="el" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">PermuteLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">PoolingLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">PriorBoxLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_quantization_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">QuantizationLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">ReorgLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">ReshapeLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">ResizeLayerNode</a>
@@ -1836,7 +1906,7 @@
 : <a class="el" href="classarm__compute_1_1graph_1_1_edge.xhtml#a494ac7ad19390258426e1e0577c71c91">Edge</a>
 </li>
 <li>ContainerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#ad84c2ea8952e280bafcc3d2122a8b8de">ContainerDataset&lt; T &gt;</a>
+: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#abcff26e356754797fd7e69dbf27df57e">ContainerDataset&lt; T &gt;</a>
 </li>
 <li>contains()
 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#aaacd907a06b819a33edf3c2c927aad46">BackendRegistry</a>
@@ -1852,6 +1922,7 @@
 : <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">ConvolutionLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">DepthwiseConvolutionLayerNode</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">FusedConvolutionBatchNormalizationNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">FusedDepthwiseConvolutionBatchNormalizationNode</a>
 , <a class="el" href="structarm__compute_1_1_winograd_info.xhtml#ad99e40b120f0a9e96821c08bf60a84f2">WinogradInfo</a>
 </li>
 <li>convolution_method()
@@ -1868,7 +1939,7 @@
 : <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#ad556cd2cfb55554dbd3cbdefff2a26b7">ConvolutionLayerNode</a>
 </li>
 <li>Coordinates()
-: <a class="el" href="classarm__compute_1_1_coordinates.xhtml#af0932a8bda967c148ce619613f77fcdd">Coordinates</a>
+: <a class="el" href="classarm__compute_1_1_coordinates.xhtml#a239f2b827ffcce1775c799127c23b6ef">Coordinates</a>
 </li>
 <li>coords()
 : <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a5296cb4a5e54c13bedc7808ca3813889">SubTensorInfo</a>
@@ -1880,31 +1951,34 @@
 : <a class="el" href="classarm__compute_1_1_bounding_box_transform_info.xhtml#a4a0745ad0a3b87c22a1997bcf0bc92b6">BoundingBoxTransformInfo</a>
 </li>
 <li>CPPBoxWithNonMaximaSuppressionLimitKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a686ed0bcee9015d74bc8fcca2a3a80e1">CPPBoxWithNonMaximaSuppressionLimitKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#abed7dfd17e9dcb4c03636e555c700c5f">CPPBoxWithNonMaximaSuppressionLimitKernel</a>
 </li>
 <li>CPPCornerCandidatesKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#abb90b47d993e5d8d96bba4e907926126">CPPCornerCandidatesKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ad92b8672298f7675cccee2e683f2f6a6">CPPCornerCandidatesKernel</a>
 </li>
 <li>CPPDetectionOutputLayer()
-: <a class="el" href="classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a0c04f240b8b260665440c161d9a7fae9">CPPDetectionOutputLayer</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a48f2354fc7b04280d6b88ae2d56a1ba0">CPPDetectionOutputLayer</a>
+</li>
+<li>CPPDetectionPostProcessLayer()
+: <a class="el" href="classarm__compute_1_1_c_p_p_detection_post_process_layer.xhtml#a39f8e99aae48c88ae3b3d98692c4107f">CPPDetectionPostProcessLayer</a>
 </li>
 <li>CPPDetectionWindowNonMaximaSuppressionKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a88722c520f6e69c0155b0dea15f6c3a4">CPPDetectionWindowNonMaximaSuppressionKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a75a7146dda6f8b2025ae5fe2bbd5bec4">CPPDetectionWindowNonMaximaSuppressionKernel</a>
 </li>
 <li>CPPFlipWeightsKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a669938cb70ce415bb02f2c75f5a478d3">CPPFlipWeightsKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a4e9100f26eb37d4e9f11aee6c1b5f362">CPPFlipWeightsKernel</a>
 </li>
-<li>CPPNonMaximumSuppression()
-: <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#a61b6aa95e45069965a365837ca3347a1">CPPNonMaximumSuppression</a>
+<li>CPPNonMaximumSuppressionKernel()
+: <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a6909c14ba58ee3b1224a4e48ff8b6d26">CPPNonMaximumSuppressionKernel</a>
 </li>
 <li>CPPPermuteKernel()
 : <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a34c3007dbd5acec7d1d1d9b49ebc461a">CPPPermuteKernel</a>
 </li>
 <li>CPPSortEuclideanDistanceKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#aacec9eede61860a3971a85c54b6a5066">CPPSortEuclideanDistanceKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a9c1505ea86b0f053bad9e7a595c30f82">CPPSortEuclideanDistanceKernel</a>
 </li>
 <li>CPPTopKVKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a9786e51541427eddb8a14214d70ef8cf">CPPTopKVKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#aeae0ca26d926822e4c3ddcbdd890781c">CPPTopKVKernel</a>
 </li>
 <li>CPPUpsampleKernel()
 : <a class="el" href="classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a772b3a997dafa6c7639ddb86223125c5">CPPUpsampleKernel</a>
@@ -1914,10 +1988,11 @@
 , <a class="el" href="structarm__compute_1_1_thread_info.xhtml#a92a85dfb6988cb6da124c05d9eeef869">ThreadInfo</a>
 </li>
 <li>CPUInfo()
-: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#a3ec830b104ae38449814a489ec9ea11c">CPUInfo</a>
+: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#ac10ab8f6db7ac07935466d38350e7c9b">CPUInfo</a>
 </li>
 <li>create()
-: <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_kernel_configuration_factory.xhtml#ab2b50810acd1c74616ee97dee3cbdb6b">CLGEMMReshapedKernelConfigurationFactory</a>
+: <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_native_kernel_configuration_factory.xhtml#ab2b50810acd1c74616ee97dee3cbdb6b">CLGEMMNativeKernelConfigurationFactory</a>
+, <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_kernel_configuration_factory.xhtml#ab2b50810acd1c74616ee97dee3cbdb6b">CLGEMMReshapedKernelConfigurationFactory</a>
 , <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_only_r_h_s_kernel_configuration_factory.xhtml#ab2b50810acd1c74616ee97dee3cbdb6b">CLGEMMReshapedOnlyRHSKernelConfigurationFactory</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79">CLFunctionFactory</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79">GCFunctionFactory</a>
@@ -1938,6 +2013,7 @@
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">DeconvolutionLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">DepthwiseConvolutionLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">DetectionOutputLayer</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_detection_post_process_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">DetectionPostProcessLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_dummy_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">DummyLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">EltwiseLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_flatten_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">FlattenLayer</a>
@@ -1952,6 +2028,7 @@
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">PermuteLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">PoolingLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_prior_box_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">PriorBoxLayer</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_quantization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">QuantizationLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_reorg_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ReorgLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ReshapeLayer</a>
 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ResizeLayer</a>
@@ -2016,7 +2093,7 @@
 <!-- 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>