arm_compute v19.05
diff --git a/documentation/functions_c.xhtml b/documentation/functions_c.xhtml
index 7b9dbd9..1373fba 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">
-  <span id="projectnumber">19.02</span>
+  <span id="projectnumber">19.05</span>
</div>
</td>
</tr>
@@ -106,7 +106,7 @@
: <a class="el" href="structarm__compute_1_1_c_l_device_options.xhtml#a95bd826331e8ced007cf895e1d70c670">CLDeviceOptions</a>
</li>
<li>CaffePreproccessor()
-: <a class="el" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a5cb89f99531ca5931b461835039fd655">CaffePreproccessor</a>
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a17f1b10d24fd28928777ee5c62c9cbfb">CaffePreproccessor</a>
</li>
<li>call_accessor()
: <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a88d65b04d950e6aba147624fcd308b34">Tensor</a>
@@ -247,6 +247,9 @@
<li>CLComparisonKernel()
: <a class="el" href="classarm__compute_1_1_c_l_comparison_kernel.xhtml#af727ecec8e36519d9369dbee5a0aa10a">CLComparisonKernel</a>
</li>
+<li>CLComplexPixelWiseMultiplicationKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_complex_pixel_wise_multiplication_kernel.xhtml#a2235083e719d036ef2c3b4b1bfee1ba0">CLComplexPixelWiseMultiplicationKernel</a>
+</li>
<li>CLComputeAllAnchorsKernel()
: <a class="el" href="classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#af1cddcb118a3ae105a62326152694be0">CLComputeAllAnchorsKernel</a>
</li>
@@ -295,6 +298,12 @@
<li>clCreateProgramWithSource_ptr
: <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a62fb6450bf1c30cca66d6547348eee3c">CLSymbols</a>
</li>
+<li>CLCropKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_crop_kernel.xhtml#a65cd6f6d41c4a91a72cb751b088a1099">CLCropKernel</a>
+</li>
+<li>CLCropResize()
+: <a class="el" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ab776ea56c9004a561a4c19f323aa4e9d">CLCropResize</a>
+</li>
<li>CLDeconvolutionLayer()
: <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a8572d9be956f337d3e714c9909e9fde4">CLDeconvolutionLayer</a>
</li>
@@ -304,6 +313,9 @@
<li>CLDeconvolutionLayerUpsampleKernel()
: <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a71e3d2871a5312c0614d99b817befaba">CLDeconvolutionLayerUpsampleKernel</a>
</li>
+<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>
@@ -337,9 +349,6 @@
<li>CLDepthwiseVectorToTensorKernel()
: <a class="el" href="classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#ad57d6082a0e790ddc0fd66063ffbbc86">CLDepthwiseVectorToTensorKernel</a>
</li>
-<li>CLDequantizationLayer()
-: <a class="el" href="classarm__compute_1_1_c_l_dequantization_layer.xhtml#adaff01149002af4e16a6ab19bb785902">CLDequantizationLayer</a>
-</li>
<li>CLDequantizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a126f5beb6dc874a89d5da5fcc7589565">CLDequantizationLayerKernel</a>
</li>
@@ -358,6 +367,9 @@
<li>CLDirectConvolutionLayerOutputStageKernel()
: <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a772f88eccbc0577b148a7eb880f4363d">CLDirectConvolutionLayerOutputStageKernel</a>
</li>
+<li>CLDirectDeconvolutionLayer()
+: <a class="el" href="classarm__compute_1_1_c_l_direct_deconvolution_layer.xhtml#a3b66629a37b30e5bd67a7437b2a1f763">CLDirectDeconvolutionLayer</a>
+</li>
<li>CLDistribution1D()
: <a class="el" href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a1b056f14381ab6eda09ed227a3d9e9e5">CLDistribution1D</a>
</li>
@@ -431,6 +443,24 @@
<li>CLFastCornersKernel()
: <a class="el" href="classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a70fd54f07efa6bc5b75e71ad68468b95">CLFastCornersKernel</a>
</li>
+<li>CLFFT1D()
+: <a class="el" href="classarm__compute_1_1_c_l_f_f_t1_d.xhtml#aadecfaf568c9c53a105b591887b423f4">CLFFT1D</a>
+</li>
+<li>CLFFT2D()
+: <a class="el" href="classarm__compute_1_1_c_l_f_f_t2_d.xhtml#add2364ed57162f08c5ea96f5c8472a8e">CLFFT2D</a>
+</li>
+<li>CLFFTConvolutionLayer()
+: <a class="el" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#ae371a3c56f6e284fd584a7bcde82e4a8">CLFFTConvolutionLayer</a>
+</li>
+<li>CLFFTDigitReverseKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_f_f_t_digit_reverse_kernel.xhtml#a85ae5d321c0f750c0f8c00a6c1cfe416">CLFFTDigitReverseKernel</a>
+</li>
+<li>CLFFTRadixStageKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_f_f_t_radix_stage_kernel.xhtml#afcb935e108e5a860f41a3a9c05e47fc1">CLFFTRadixStageKernel</a>
+</li>
+<li>CLFFTScaleKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_f_f_t_scale_kernel.xhtml#a162fcded7e5faf5a7ec4a7b1020579b5">CLFFTScaleKernel</a>
+</li>
<li>CLFillBorderKernel()
: <a class="el" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a381be9310933ff673959d1d7b6842b8e">CLFillBorderKernel</a>
</li>
@@ -480,11 +510,14 @@
: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a8e68b8e249e06c5dbecd4f130fa3da54">CLGaussianPyramidVertKernel</a>
</li>
<li>CLGEMM()
-: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a3d6349f009b4f8b0cede0b6bd0a65e71">CLGEMM</a>
+: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a07dc013cbab881bdebe30f07204dbde3">CLGEMM</a>
</li>
<li>CLGEMMConvolutionLayer()
: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#abbe1bfc2b6c8c58d711612255ca73a38">CLGEMMConvolutionLayer</a>
</li>
+<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>
@@ -497,6 +530,9 @@
<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>
+<li>CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml#ad12963f1b6b9bcdb92da8de2e5491b97">CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel</a>
+</li>
<li>CLGEMMLowpOffsetContributionKernel()
: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#af9118245ab756bce27f29a5869b8e824">CLGEMMLowpOffsetContributionKernel</a>
</li>
@@ -524,9 +560,18 @@
<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>
+<li>CLGEMMMatrixMultiplyReshapedOnlyRHSKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml#a53ada9821a047f7d88d209f82a22c76b">CLGEMMMatrixMultiplyReshapedOnlyRHSKernel</a>
+</li>
<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>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>
+<li>CLGEMMReshapedOnlyRHSKernelConfigurationBifrost()
+: <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#abe3ca3dd0c9ae36f2497b91258c02067">CLGEMMReshapedOnlyRHSKernelConfigurationBifrost</a>
+</li>
<li>CLGEMMReshapeLHSMatrixKernel()
: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#ac255562bb8d6f74e1fe027183ee998d1">CLGEMMReshapeLHSMatrixKernel</a>
</li>
@@ -578,6 +623,9 @@
<li>CLHarrisScoreKernel()
: <a class="el" href="classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a7b4ed31faff8ec0909befc47a18d02e2">CLHarrisScoreKernel</a>
</li>
+<li>CLHeightConcatenateLayerKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_height_concatenate_layer_kernel.xhtml#aeec2dd42366ee1fbf4dd614ab4243d3f">CLHeightConcatenateLayerKernel</a>
+</li>
<li>CLHistogram()
: <a class="el" href="classarm__compute_1_1_c_l_histogram.xhtml#ae88cc0fbb01c58a52e60cc02f80f6ae1">CLHistogram</a>
</li>
@@ -617,6 +665,9 @@
<li>CLIm2ColKernel()
: <a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a569025396fa4e2e7469b7ea6e2a0a81b">CLIm2ColKernel</a>
</li>
+<li>clImportMemoryARM_ptr
+: <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#ac85382870c183f26f792e183ee80e38c">CLSymbols</a>
+</li>
<li>CLIntegralImage()
: <a class="el" href="classarm__compute_1_1_c_l_integral_image.xhtml#a9a2580de71090d3b559f41e1c5f3a01e">CLIntegralImage</a>
</li>
@@ -674,6 +725,15 @@
<li>CLLutAllocator()
: <a class="el" href="classarm__compute_1_1_c_l_lut_allocator.xhtml#aa1e425aebd0805be1916fddde364aaa1">CLLutAllocator</a>
</li>
+<li>CLLWSListExhaustive()
+: <a class="el" href="classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_exhaustive.xhtml#a5a2e0d059ae9669819cd7f33ae4e2348">CLLWSListExhaustive</a>
+</li>
+<li>CLLWSListNormal()
+: <a class="el" href="classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_normal.xhtml#adfc8790c19fa1019dbb1e3e671045b26">CLLWSListNormal</a>
+</li>
+<li>CLLWSListRapid()
+: <a class="el" href="classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_rapid.xhtml#ad5665ec0184d2dfae5fbf7ec7ce7ed44">CLLWSListRapid</a>
+</li>
<li>CLMagnitudePhaseKernel()
: <a class="el" href="classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a249ee7b7204a6f63cf3563eda92e4d0e">CLMagnitudePhaseKernel</a>
</li>
@@ -742,7 +802,7 @@
: <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#a155aa76403dc4051493ffb37389a27c7">CLPermuteKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_permute_kernel.xhtml#aa932a2891c439411bed8e4b2da853580">CLPermuteKernel</a>
</li>
<li>CLPixelWiseMultiplicationKernel()
: <a class="el" href="classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a70cf3d6c93ca36362e7ea84c5259bb45">CLPixelWiseMultiplicationKernel</a>
@@ -759,9 +819,6 @@
<li>CLPyramid()
: <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#a24edddb8cac90e092ecbd4a2d2a1ce59">CLPyramid</a>
</li>
-<li>CLQuantizationLayer()
-: <a class="el" href="classarm__compute_1_1_c_l_quantization_layer.xhtml#af4032433e87b3c30aeb5c8ad5156a432">CLQuantizationLayer</a>
-</li>
<li>CLQuantizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#aec2ad990f91ebeb1c5e26426bcb9529c">CLQuantizationLayerKernel</a>
</li>
@@ -1012,11 +1069,13 @@
, <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_fused_convolution_batch_normalization_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530">FusedConvolutionBatchNormalizationNode</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>
, <a class="el" href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a1521316e452fc18391024f306ae389d5">SliceLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#ac03531d01e5f5d091b030b0c5d6537d7">SplitLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_stack_layer_node.xhtml#aaba464fc18cc6260b8c840a1dbdb048b">StackLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a81730ee591fa0b1ec20e7adb17d44b5e">UpsampleLayerNode</a>
</li>
<li>compute_valid_region()
@@ -1033,7 +1092,7 @@
: <a class="el" href="classarm__compute_1_1_compute_anchors_info.xhtml#a754fb667b78b7376c989a3923d172ff9">ComputeAnchorsInfo</a>
</li>
<li>ConcatenateLayerNode()
-: <a class="el" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a3fd97b1634e46fabfaf9ec285fa0d3dc">ConcatenateLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a91208b890273b22eae891c3ad4d8f452">ConcatenateLayerNode</a>
</li>
<li>concatenation_axis()
: <a class="el" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a051cd2a8d15cf783e9ab9a00451c77f6">ConcatenateLayerNode</a>
@@ -1041,6 +1100,9 @@
<li>ConcatLayer()
: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#ab92fa4522a5f22a09ebcc4056c20feff">ConcatLayer</a>
</li>
+<li>ConcatLayerDescriptor()
+: <a class="el" href="structarm__compute_1_1graph_1_1descriptors_1_1_concat_layer_descriptor.xhtml#ae7d3991e73f2c893ee5e28d4ecd81170">ConcatLayerDescriptor</a>
+</li>
<li>confidence_threshold()
: <a class="el" href="classarm__compute_1_1_detection_output_layer_info.xhtml#a47c941c24980e6f61a74986c4a16c16c">DetectionOutputLayerInfo</a>
</li>
@@ -1051,7 +1113,8 @@
: <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_configuration_bifrost.xhtml#ab6d0980d5c4bff1c0e3284b895c36248">CLGEMMReshapedConfigurationBifrost</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_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>
@@ -1092,14 +1155,16 @@
, <a class="el" href="classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a">CLChannelShuffleLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a">CLChannelShuffleLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a109e7bd51a51a6aecaa2402a06deb3a7">CLCol2ImKernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_color_convert.xhtml#a0240dc06ada517594f39f25d5228b9c7">CLColorConvert</a>
+, <a class="el" href="classarm__compute_1_1_c_l_color_convert.xhtml#a074e10cfb217e657b9e81adeca2abc68">CLColorConvert</a>
, <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68">CLColorConvertKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_comparison.xhtml#a1b96928290ab87d627ad33755e6e262c">CLComparison</a>
, <a class="el" href="classarm__compute_1_1_c_l_comparison_kernel.xhtml#a9eb86fbe4825b43b638171bb6dd398c3">CLComparisonKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_comparison_static.xhtml#aa08e0c678275eb37e8de42be52d76e35">CLComparisonStatic< COP ></a>
+, <a class="el" href="classarm__compute_1_1_c_l_complex_pixel_wise_multiplication.xhtml#aa08e0c678275eb37e8de42be52d76e35">CLComplexPixelWiseMultiplication</a>
+, <a class="el" href="classarm__compute_1_1_c_l_complex_pixel_wise_multiplication_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1">CLComplexPixelWiseMultiplicationKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a4475c404f4bc3140b493a987d1fa0fc6">CLComputeAllAnchors</a>
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@@ -1550,8 +1645,9 @@
, <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a0c6175a719b3ef4c20d8e2fc45d6990d">NEGradientKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_harris_corners.xhtml#aa74c5caac74b27db3319b4a5710f7a98">NEHarrisCorners</a>
, <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ae3278fce9a66ca7603efcb367e6b3816">NEHarrisScoreKernel< block_size ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_height_concatenate_layer_kernel.xhtml#ab8b9c85c458f327103d93787b192e65c">NEHeightConcatenateLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_histogram.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9">NEHistogram</a>
-, <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#aa6f4a855483e2d24a509181faa893b75">NEHistogramKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9">NEHistogramKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#abe08b9f8d4a3bd083ebae3d1cb65a2b5">NEHOGBlockNormalizationKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#af3e91dd25d2bd7d3f3a0c74cdc77d7c4">NEHOGDescriptor</a>
, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector.xhtml#aec1e0dba94a632dc99953a9015684115">NEHOGDetector</a>
@@ -1591,7 +1687,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml#a89681b033dd94cd53456d7365a91f7cd">NENormalizationLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a7b1cd624e23b7144b6962c19f426a166">NENormalizationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#a36071f8f326ffdbfaf95fded57d6771c">NEOpticalFlow</a>
-, <a class="el" href="classarm__compute_1_1_n_e_pad_layer.xhtml#a24a5fb11cb36e335b311e2c6f3f009e7">NEPadLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_pad_layer.xhtml#ac5a4e9c1564aa9892dfe02cdce2f55b3">NEPadLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_permute.xhtml#a93c836ab36443b23753d99495761daf7">NEPermute</a>
, <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#a93c836ab36443b23753d99495761daf7">NEPermuteKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_phase.xhtml#adcb14816dc8d62ecdc185f4d3f1cd4d4">NEPhase</a>
@@ -1602,7 +1698,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer.xhtml#a248cdd16a97b29541228d3e775ac4e01">NEPriorBoxLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a248cdd16a97b29541228d3e775ac4e01">NEPriorBoxLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_quantization_layer.xhtml#a83a344e60eb7db895953a942abf16628">NEQuantizationLayer</a>
-, <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a644ff49365300e418f2343f112753b74">NEQuantizationLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628">NEQuantizationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_range.xhtml#a8a54125934cd02a77f2baef43e6e62bf">NERange</a>
, <a class="el" href="classarm__compute_1_1_n_e_range_kernel.xhtml#a5813dd1e3e37f5741b60d557d2693988">NERangeKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_reduce_mean.xhtml#ac741a3edd9fdd407099870bbb27925d7">NEReduceMean</a>
@@ -1620,8 +1716,8 @@
, <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a6ad8fb0b46705c4a03f20ecfed39c99b">NEROIPoolingLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a6ad8fb0b46705c4a03f20ecfed39c99b">NEROIPoolingLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_rsqrt_layer.xhtml#a83a344e60eb7db895953a942abf16628">NERsqrtLayer</a>
-, <a class="el" href="classarm__compute_1_1_n_e_scale.xhtml#aca08ed3f0e23d0eb32f60dc8a468bb4b">NEScale</a>
-, <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#aa13b6f52790e5ec90e37a9834611c1c8">NEScaleKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_scale.xhtml#a07a82ec2c42bdab07b999d36c9595327">NEScale</a>
+, <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#a736d88971e28999a64f54ebf4d111c35">NEScaleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_scharr3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0">NEScharr3x3</a>
, <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77">NEScharr3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_select.xhtml#a1d6424a6b10d91683475029a748ea4a3">NESelect</a>
@@ -1639,6 +1735,8 @@
, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77">NESobel7x7HorKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ad97cc0c4d977253aa096953ff5aefcae">NESobel7x7VertKernel</a>
, <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_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>
@@ -1661,8 +1759,8 @@
, <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#a326ad83c687d67a9e7cd36d1d03f7d9b">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a2b01c230c011d65c44f8e4cb316be002">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a2de2ab5ada4b5a360770b670af19b48d">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ad19a40132fc8ebdb217819c865c5ad0d">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
, <a class="el" href="classarm__compute_1_1_n_e_y_o_l_o_layer.xhtml#a117e23eab202b2b2162b402826adb641">NEYOLOLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a117e23eab202b2b2162b402826adb641">NEYOLOLayerKernel</a>
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484">CLSynthetizeFunction< K ></a>
@@ -1692,6 +1790,7 @@
, <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_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>
@@ -1709,9 +1808,17 @@
, <a class="el" href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">SliceLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">SoftmaxLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">SplitLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_stack_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">StackLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">UpsampleLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">YOLOLayerNode</a>
</li>
+<li>configure_output_shape()
+: <a class="el" href="classarm__compute_1_1_n_e_crop_kernel.xhtml#a0da66c75715e5f334da280799a55c923">NECropKernel</a>
+</li>
+<li>conjugate
+: <a class="el" href="structarm__compute_1_1_f_f_t_digit_reverse_kernel_info.xhtml#a3eedaeae28218786bf093b225accbfe0">FFTDigitReverseKernelInfo</a>
+, <a class="el" href="structarm__compute_1_1_f_f_t_scale_kernel_info.xhtml#a3eedaeae28218786bf093b225accbfe0">FFTScaleKernelInfo</a>
+</li>
<li>constant_border_value
: <a class="el" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">CannyEdgeParameters</a>
, <a class="el" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">HarrisCornersParameters</a>
@@ -1744,10 +1851,12 @@
<li>convolution_info()
: <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="structarm__compute_1_1_winograd_info.xhtml#ad99e40b120f0a9e96821c08bf60a84f2">WinogradInfo</a>
</li>
<li>convolution_method()
: <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a16b2c6652c4cee5b566daf018f768a42">ConvolutionLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml#a16b2c6652c4cee5b566daf018f768a42">FusedConvolutionBatchNormalizationNode</a>
</li>
<li>convolution_method_hint
: <a class="el" href="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#af18f64d6fa79da2fd4fd585bf818b3d2">StreamHints</a>
@@ -1783,19 +1892,19 @@
: <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a88722c520f6e69c0155b0dea15f6c3a4">CPPDetectionWindowNonMaximaSuppressionKernel</a>
</li>
<li>CPPFlipWeightsKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a4e9100f26eb37d4e9f11aee6c1b5f362">CPPFlipWeightsKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a669938cb70ce415bb02f2c75f5a478d3">CPPFlipWeightsKernel</a>
</li>
<li>CPPNonMaximumSuppression()
: <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#a61b6aa95e45069965a365837ca3347a1">CPPNonMaximumSuppression</a>
</li>
<li>CPPPermuteKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a67c68efcc0e4c376502c9f014c5ecd27">CPPPermuteKernel</a>
+: <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#a9c1505ea86b0f053bad9e7a595c30f82">CPPSortEuclideanDistanceKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#aacec9eede61860a3971a85c54b6a5066">CPPSortEuclideanDistanceKernel</a>
</li>
<li>CPPTopKVKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a5da53490e64670ebf51e267bcc89ab35">CPPTopKVKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a9786e51541427eddb8a14214d70ef8cf">CPPTopKVKernel</a>
</li>
<li>CPPUpsampleKernel()
: <a class="el" href="classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a772b3a997dafa6c7639ddb86223125c5">CPPUpsampleKernel</a>
@@ -1805,10 +1914,11 @@
, <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#a0efc7dde750cb74d8377fbb439bc4892">CPUInfo</a>
+: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#a3ec830b104ae38449814a489ec9ea11c">CPUInfo</a>
</li>
<li>create()
-: <a class="el" href="classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_factory.xhtml#add9adb2d4e6b12ac04f461bcbf0a17d2">CLGEMMReshapedConfigurationFactory</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>
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79">NEFunctionFactory</a>
@@ -1849,11 +1959,12 @@
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ScaleLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">SliceLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">SoftmaxLayer</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_stack_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">StackLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_upsample_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">UpsampleLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_y_o_l_o_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">YOLOLayer</a>
</li>
<li>create_logger()
-: <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#a12c01aa87c5962d33fc54012a57e37e8">LoggerRegistry</a>
+: <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#aa9e0d29ccc8bd2fe70649817fc86d9c9">LoggerRegistry</a>
</li>
<li>create_memory_manager()
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#ad02dea2a998dcd64725620b72022ba56">CLDeviceBackend</a>
@@ -1870,7 +1981,7 @@
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a0ecd10cc93de5d317347eab52ede1775">CommonOptions</a>
</li>
<li>create_reserved_loggers()
-: <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#ad131b38925d86034bb3477dde5afd49b">LoggerRegistry</a>
+: <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#add4d22e6e2db26f2263ae527fb7c911e">LoggerRegistry</a>
</li>
<li>create_subimage()
: <a class="el" href="classarm__compute_1_1_multi_image.xhtml#abd476c5b253ba7cfff71fc2f782d2688">MultiImage</a>
@@ -1905,7 +2016,7 @@
<!-- 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>