commit 06ea048f062a50404b1b3998a61a45449c2d1f0f
author Anthony Barbier <anthony.barbier@arm.com> Thu Feb 22 15:45:35 2018 +0000
committer Anthony Barbier <anthony.barbier@arm.com> Fri Feb 23 11:49:54 2018 +0000
tree aa0dea3b0c49422538df9a5a02578b2c29e6fa67
parent 292227986edb37b01061afcad6df18ba9d6ccbeb

arm_compute v18.02

Change-Id: I7207aa488e5470f235f39b6c188b4678dc38d1a6

documentation/functions_func_b.xhtml

diff --git a/documentation/functions_func_b.xhtml b/documentation/functions_func_b.xhtml
index ffcf339..4610309 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
-   &#160;<span id="projectnumber">18.01</span>
+   &#160;<span id="projectnumber">18.02</span>
    </div>
   </td>
  </tr>
@@ -163,7 +163,7 @@
 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#af28869d53fbe340640044d672b29ba7c">ActivationLayerInfo</a>
 </li>
 <li>BatchNormalizationLayer()
-: <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer.xhtml#a73024d531321cb97077aacf5f6d26917">BatchNormalizationLayer</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer.xhtml#ac164500b5d7a26fe69f965c150492de5">BatchNormalizationLayer</a>
 </li>
 <li>begin()
 : <a class="el" href="classarm__compute_1_1_dimensions.xhtml#aeade0eaf149acac842e98d99d37e39c7">Dimensions&lt; T &gt;</a>
@@ -206,7 +206,8 @@
 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#aa9a69eade27460f843fcfba5abb7ae52">HOGInfo</a>
 </li>
 <li>border_size()
-: <a class="el" href="classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLBox3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLArithmeticAdditionKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLBox3x3Kernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLConvolutionKernel&lt; matrix_size &gt;</a>
 , <a class="el" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLConvolutionRectangleKernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDepthConcatenateLayerKernel</a>
@@ -227,6 +228,7 @@
 , <a class="el" href="classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNonLinearFilterKernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNonMaximaSuppression3x3Kernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNormalizationLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLPixelWiseMultiplicationKernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLPoolingLayerKernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLReductionOperationKernel</a>
 , <a class="el" href="classarm__compute_1_1_c_l_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLRemapKernel</a>
@@ -249,6 +251,7 @@
 , <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_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEArithmeticAdditionKernel</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&lt; matrix_size &gt;</a>
 , <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEConvolutionRectangleKernel</a>
@@ -266,6 +269,7 @@
 , <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussian5x5VertKernel</a>
 , <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussianPyramidHorKernel</a>
 , <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussianPyramidVertKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGEMMMatrixVectorMultiplyKernel</a>
 , <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEHarrisScoreKernel&lt; block_size &gt;</a>
 , <a class="el" href="classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEIntegralImageKernel</a>
 , <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NELKTrackerKernel</a>
@@ -295,7 +299,19 @@
 : <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#a2d95a4c471b3e0318585eda76b72c697">BranchLayer</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_branch_layer.xhtml#a534eb9746d7dc95d9ea2003a95a4e1a5">BranchLayer</a>
+</li>
+<li>brelu()
+: <a class="el" href="structarm__compute_1_1detail_1_1brelu.xhtml#aa616370cb7c15ee81a8baecd6f9b8545">brelu&lt; T, S &gt;</a>
+</li>
+<li>broadcast_if_dimension_le_one()
+: <a class="el" href="classarm__compute_1_1_window.xhtml#a516930a0dfd85fcfc5af68e0e60e9786">Window</a>
+</li>
+<li>broadcast_shape()
+: <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a58838fbdce5b5330d84e62329b45ff7d">TensorShape</a>
+</li>
+<li>broadcast_shape_and_valid_region()
+: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185">ITensorInfo</a>
 </li>
 <li>buffer()
 : <a class="el" href="classarm__compute_1_1_array.xhtml#a46fdef12397c4404e7706cba3568b42d">Array&lt; T &gt;</a>
@@ -311,7 +327,7 @@
 , <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#a5408122982db8d1e5bb8053c373f4094">Memory</a>
+, <a class="el" href="classarm__compute_1_1_memory.xhtml#a13b56c9ce6c994acc73df9ed4d7a69a8">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&lt; T &gt;</a>
@@ -319,7 +335,7 @@
 , <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a4e1979433c9e97e4797fdb060ca5e3ad">IArrayAccessor&lt; T &gt;</a>
 </li>
 <li>build()
-: <a class="el" href="classarm__compute_1_1_program.xhtml#ad321fe7c8b8db45f1e48b6f7d13346c5">Program</a>
+: <a class="el" href="classarm__compute_1_1_program.xhtml#ac7692fcd49be268380d2a8da9a058d0f">Program</a>
 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a7740c7ab195c03ac140f1f75f633470f">AlexNetNetwork&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_le_net5_network.xhtml#a7740c7ab195c03ac140f1f75f633470f">LeNet5Network&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml#a7740c7ab195c03ac140f1f75f633470f">MobileNetNetwork&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction &gt;</a>
@@ -331,7 +347,7 @@
 <!-- start footer part -->
 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
   <ul>
-    <li class="footer">Generated on Wed Jan 24 2018 14:30:48 for Compute Library by
+    <li class="footer">Generated on Thu Feb 22 2018 15:45:28 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>