arm_compute v18.01
Change-Id: I9bfa178c2e38bfd5fc812e62aab6760d87748e05
diff --git a/documentation/functions_func_b.xhtml b/documentation/functions_func_b.xhtml
index ff5c825..ffcf339 100644
--- a/documentation/functions_func_b.xhtml
+++ b/documentation/functions_func_b.xhtml
@@ -40,7 +40,7 @@
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">17.12</span>
+  <span id="projectnumber">18.01</span>
</div>
</td>
</tr>
@@ -174,9 +174,13 @@
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_fully_connected_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">FullyConnectedLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">GEMMDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_lowp_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">GEMMLowpDataset</a>
+, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_h_o_g_descriptor_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">HOGDescriptorDataset</a>
+, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_image_file_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">ImageFileDataset</a>
+, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">NormalizePlanarYUVLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_pooling_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">PoolingLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_reshape_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">ReshapeLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_r_o_i_pooling_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">ROIPoolingLayerDataset</a>
+, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_scale_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">ScaleLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_threshold_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">ThresholdDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">CartesianProductDataset< T, U ></a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">ContainerDataset< T ></a>
@@ -193,7 +197,7 @@
: <a class="el" href="classarm__compute_1_1_blob_lifetime_manager.xhtml#aa896b8c8ef0043ee483a7b2942eb4342">BlobLifetimeManager</a>
</li>
<li>BlobMemoryPool()
-: <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#ae4697b43125a5f2498131d794b44d950">BlobMemoryPool</a>
+: <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#ae3f7b519f24156d81c6cb74af7803c06">BlobMemoryPool</a>
</li>
<li>block_size()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a13a9a6f5cfa21b3ab15b1e4315311aeb">HOGInfo</a>
@@ -238,15 +242,16 @@
, <a class="el" href="classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLWarpAffineKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLWarpPerspectiveKernel</a>
, <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCDepthConcatenateLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCDepthwiseConvolutionLayer3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCDirectConvolutionLayerKernel< kernel_size ></a>
, <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCNormalizationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCPoolingLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCScaleKernel</a>
, <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#aa6daa9b04e2035bf007e5e5c3c4396a8">IKernel</a>
, <a class="el" href="classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">INEWarpKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEBox3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEConvolutionKernel< matrix_size ></a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEConvolutionRectangleKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer_upsample_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDeconvolutionLayerUpsampleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDepthConcatenateLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDepthwiseConvolutionLayer3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDerivativeKernel</a>
@@ -287,10 +292,10 @@
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_border_modes.xhtml#a6869bdc8469bc69217894f0b25c1b16e">BorderModes</a>
</li>
<li>BorderSize()
-: <a class="el" href="structarm__compute_1_1_border_size.xhtml#a44089024084b73c5b83e509518df48e0">BorderSize</a>
+: <a class="el" href="structarm__compute_1_1_border_size.xhtml#a4ead5a6d48151a603bf3be1e6acafb05">BorderSize</a>
</li>
<li>BranchLayer()
-: <a class="el" href="classarm__compute_1_1graph_1_1_branch_layer.xhtml#a534eb9746d7dc95d9ea2003a95a4e1a5">BranchLayer</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_branch_layer.xhtml#a2d95a4c471b3e0318585eda76b72c697">BranchLayer</a>
</li>
<li>buffer()
: <a class="el" href="classarm__compute_1_1_array.xhtml#a46fdef12397c4404e7706cba3568b42d">Array< T ></a>
@@ -306,18 +311,15 @@
, <a class="el" href="classarm__compute_1_1_i_lut.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">ILut</a>
, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">ITensor</a>
, <a class="el" href="classarm__compute_1_1_lut.xhtml#ace7b855e3c647d29cc37a1ce147901dc">Lut</a>
-, <a class="el" href="classarm__compute_1_1_memory.xhtml#a13b56c9ce6c994acc73df9ed4d7a69a8">Memory</a>
+, <a class="el" href="classarm__compute_1_1_memory.xhtml#a5408122982db8d1e5bb8053c373f4094">Memory</a>
, <a class="el" href="classarm__compute_1_1_sub_tensor.xhtml#ace7b855e3c647d29cc37a1ce147901dc">SubTensor</a>
, <a class="el" href="classarm__compute_1_1_tensor.xhtml#ace7b855e3c647d29cc37a1ce147901dc">Tensor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f">ArrayAccessor< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f">CLArrayAccessor< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a4e1979433c9e97e4797fdb060ca5e3ad">IArrayAccessor< T ></a>
</li>
-<li>BufferParam()
-: <a class="el" href="classarm__compute_1_1_i_g_c_kernel_1_1_buffer_param.xhtml#a452e835c1a9451ef7335a5c39f1d4524">IGCKernel::BufferParam</a>
-</li>
<li>build()
-: <a class="el" href="classarm__compute_1_1_program.xhtml#ac7692fcd49be268380d2a8da9a058d0f">Program</a>
+: <a class="el" href="classarm__compute_1_1_program.xhtml#ad321fe7c8b8db45f1e48b6f7d13346c5">Program</a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a7740c7ab195c03ac140f1f75f633470f">AlexNetNetwork< ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_le_net5_network.xhtml#a7740c7ab195c03ac140f1f75f633470f">LeNet5Network< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml#a7740c7ab195c03ac140f1f75f633470f">MobileNetNetwork< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction ></a>
@@ -329,7 +331,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Thu Dec 14 2017 23:48:39 for Compute Library by
+ <li class="footer">Generated on Wed Jan 24 2018 14:30:48 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
</ul>