documentation/functions_func_b.xhtml

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  96     </ul>
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  99     <ul class="tablist">
 100       <li><a href="functions_func.xhtml#index_a"><span>a</span></a></li>
 101       <li class="current"><a href="functions_func_b.xhtml#index_b"><span>b</span></a></li>
 102       <li><a href="functions_func_c.xhtml#index_c"><span>c</span></a></li>
 103       <li><a href="functions_func_d.xhtml#index_d"><span>d</span></a></li>
 104       <li><a href="functions_func_e.xhtml#index_e"><span>e</span></a></li>
 105       <li><a href="functions_func_f.xhtml#index_f"><span>f</span></a></li>
 106       <li><a href="functions_func_g.xhtml#index_g"><span>g</span></a></li>
 107       <li><a href="functions_func_h.xhtml#index_h"><span>h</span></a></li>
 108       <li><a href="functions_func_i.xhtml#index_i"><span>i</span></a></li>
 109       <li><a href="functions_func_j.xhtml#index_j"><span>j</span></a></li>
 110       <li><a href="functions_func_k.xhtml#index_k"><span>k</span></a></li>
 111       <li><a href="functions_func_l.xhtml#index_l"><span>l</span></a></li>
 112       <li><a href="functions_func_m.xhtml#index_m"><span>m</span></a></li>
 113       <li><a href="functions_func_n.xhtml#index_n"><span>n</span></a></li>
 114       <li><a href="functions_func_o.xhtml#index_o"><span>o</span></a></li>
 115       <li><a href="functions_func_p.xhtml#index_p"><span>p</span></a></li>
 116       <li><a href="functions_func_q.xhtml#index_q"><span>q</span></a></li>
 117       <li><a href="functions_func_r.xhtml#index_r"><span>r</span></a></li>
 118       <li><a href="functions_func_s.xhtml#index_s"><span>s</span></a></li>
 119       <li><a href="functions_func_t.xhtml#index_t"><span>t</span></a></li>
 120       <li><a href="functions_func_u.xhtml#index_u"><span>u</span></a></li>
 121       <li><a href="functions_func_v.xhtml#index_v"><span>v</span></a></li>
 122       <li><a href="functions_func_w.xhtml#index_w"><span>w</span></a></li>
 123       <li><a href="functions_func_x.xhtml#index_x"><span>x</span></a></li>
 124       <li><a href="functions_func_y.xhtml#index_y"><span>y</span></a></li>
 125       <li><a href="functions_func_z.xhtml#index_z"><span>z</span></a></li>
 126       <li><a href="functions_func_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
 127     </ul>
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 158 <div class="contents">
 159 &#160;
 160
 161 <h3><a class="anchor" id="index_b"></a>- b -</h3><ul>
 162 <li>b()
 163 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#af28869d53fbe340640044d672b29ba7c">ActivationLayerInfo</a>
 164 </li>
 165 <li>backend_allocator()
 166 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a8aa0230245b29c283dc4a7b83e86f854">CLDeviceBackend</a>
 167 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#a8aa0230245b29c283dc4a7b83e86f854">GCDeviceBackend</a>
 168 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#ac37337ce735ea0bc448d31f719392993">IDeviceBackend</a>
 169 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#a8aa0230245b29c283dc4a7b83e86f854">NEDeviceBackend</a>
 170 </li>
 171 <li>BackendRegistrar()
 172 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1detail_1_1_backend_registrar.xhtml#a9ad59cb425b913c7634f59dd9c380010">BackendRegistrar&lt; T &gt;</a>
 173 </li>
 174 <li>backends()
 175 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#ac79ce508f33184eecd9c2cd3253d3f06">BackendRegistry</a>
 176 </li>
 177 <li>BatchNormalizationLayer()
 178 : <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml#a5a6d29d97205186313cf48823a2dce8a">BatchNormalizationLayer</a>
 179 </li>
 180 <li>BatchNormalizationLayerNode()
 181 : <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#ae171f5c0a1d71d95a75c544595c68c32">BatchNormalizationLayerNode</a>
 182 </li>
 183 <li>begin()
 184 : <a class="el" href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b">Dimensions&lt; T &gt;</a>
 185 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">CartesianProductDataset&lt; T, U &gt;</a>
 186 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">ContainerDataset&lt; T &gt;</a>
 187 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">InitializerListDataset&lt; T &gt;</a>
 188 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">JoinDataset&lt; T, U &gt;</a>
 189 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">RangeDataset&lt; T &gt;</a>
 190 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">SingletonDataset&lt; T &gt;</a>
 191 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">ZipDataset&lt; T, U &gt;</a>
 192 , <a class="el" href="classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#ac05c59e8b4e9807e105f613a57bfe014">reverse_iterable&lt; T &gt;</a>
 193 </li>
 194 <li>beta()
 195 : <a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a55fe6a30749e41ce31c2bb969a5aa25e">SoftmaxLayerNode</a>
 196 , <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a55fe6a30749e41ce31c2bb969a5aa25e">NormalizationLayerInfo</a>
 197 </li>
 198 <li>bind_edge()
 199 : <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a37a56fcfb4c6a506d63f11d88e0981c0">Tensor</a>
 200 </li>
 201 <li>BlobLifetimeManager()
 202 : <a class="el" href="classarm__compute_1_1_blob_lifetime_manager.xhtml#aa896b8c8ef0043ee483a7b2942eb4342">BlobLifetimeManager</a>
 203 </li>
 204 <li>BlobMemoryPool()
 205 : <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#ae4697b43125a5f2498131d794b44d950">BlobMemoryPool</a>
 206 </li>
 207 <li>block_size()
 208 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a13a9a6f5cfa21b3ab15b1e4315311aeb">HOGInfo</a>
 209 </li>
 210 <li>block_stride()
 211 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#aa9a69eade27460f843fcfba5abb7ae52">HOGInfo</a>
 212 </li>
 213 <li>border_size()
 214 : <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLArithmeticAdditionKernel</a>
 215 , <a class="el" href="classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLBox3x3Kernel</a>
 216 , <a class="el" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLConvolutionKernel&lt; matrix_size &gt;</a>
 217 , <a class="el" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLConvolutionRectangleKernel</a>
 218 , <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDepthConcatenateLayerKernel</a>
 219 , <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDepthwiseConvolutionLayer3x3NCHWKernel</a>
 220 , <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDepthwiseConvolutionLayer3x3NHWCKernel</a>
 221 , <a class="el" href="classarm__compute_1_1_c_l_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDerivativeKernel</a>
 222 , <a class="el" href="classarm__compute_1_1_c_l_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDilateKernel</a>
 223 , <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDirectConvolutionLayerKernel</a>
 224 , <a class="el" href="classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLEdgeNonMaxSuppressionKernel</a>
 225 , <a class="el" href="classarm__compute_1_1_c_l_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLErodeKernel</a>
 226 , <a class="el" href="classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLFastCornersKernel</a>
 227 , <a class="el" href="classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLGaussian3x3Kernel</a>
 228 , <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLGaussianPyramidHorKernel</a>
 229 , <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLGaussianPyramidVertKernel</a>
 230 , <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLGEMMMatrixVectorMultiplyKernel</a>
 231 , <a class="el" href="classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLHarrisScoreKernel</a>
 232 , <a class="el" href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLMeanStdDevKernel</a>
 233 , <a class="el" href="classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLMedian3x3Kernel</a>
 234 , <a class="el" href="classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNonLinearFilterKernel</a>
 235 , <a class="el" href="classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNonMaximaSuppression3x3Kernel</a>
 236 , <a class="el" href="classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNormalizationLayerKernel</a>
 237 , <a class="el" href="classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLPixelWiseMultiplicationKernel</a>
 238 , <a class="el" href="classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLPoolingLayerKernel</a>
 239 , <a class="el" href="classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLReductionOperationKernel</a>
 240 , <a class="el" href="classarm__compute_1_1_c_l_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLRemapKernel</a>
 241 , <a class="el" href="classarm__compute_1_1_c_l_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLScaleKernel</a>
 242 , <a class="el" href="classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLScharr3x3Kernel</a>
 243 , <a class="el" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSeparableConvolutionHorKernel&lt; matrix_size &gt;</a>
 244 , <a class="el" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSeparableConvolutionVertKernel&lt; matrix_size &gt;</a>
 245 , <a class="el" href="classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel3x3Kernel</a>
 246 , <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel5x5HorKernel</a>
 247 , <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel5x5VertKernel</a>
 248 , <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel7x7HorKernel</a>
 249 , <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel7x7VertKernel</a>
 250 , <a class="el" href="classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLWarpAffineKernel</a>
 251 , <a class="el" href="classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLWarpPerspectiveKernel</a>
 252 , <a class="el" href="classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLWinogradInputTransformKernel</a>
 253 , <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCDepthConcatenateLayerKernel</a>
 254 , <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCDepthwiseConvolutionLayer3x3Kernel</a>
 255 , <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCDirectConvolutionLayerKernel&lt; kernel_size &gt;</a>
 256 , <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCNormalizationLayerKernel</a>
 257 , <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCPoolingLayerKernel</a>
 258 , <a class="el" href="classarm__compute_1_1_g_c_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCScaleKernel</a>
 259 , <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#aa6daa9b04e2035bf007e5e5c3c4396a8">IKernel</a>
 260 , <a class="el" href="classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">INEWarpKernel</a>
 261 , <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEArithmeticAdditionKernel</a>
 262 , <a class="el" href="classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEBox3x3Kernel</a>
 263 , <a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEConvolutionKernel&lt; matrix_size &gt;</a>
 264 , <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEConvolutionRectangleKernel</a>
 265 , <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDepthConcatenateLayerKernel</a>
 266 , <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDepthwiseConvolutionLayer3x3Kernel</a>
 267 , <a class="el" href="classarm__compute_1_1_n_e_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDerivativeKernel</a>
 268 , <a class="el" href="classarm__compute_1_1_n_e_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDilateKernel</a>
 269 , <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDirectConvolutionLayerKernel</a>
 270 , <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEEdgeNonMaxSuppressionKernel</a>
 271 , <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEEdgeTraceKernel</a>
 272 , <a class="el" href="classarm__compute_1_1_n_e_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEErodeKernel</a>
 273 , <a class="el" href="classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEFastCornersKernel</a>
 274 , <a class="el" href="classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussian3x3Kernel</a>
 275 , <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussian5x5HorKernel</a>
 276 , <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussian5x5VertKernel</a>
 277 , <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussianPyramidHorKernel</a>
 278 , <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussianPyramidVertKernel</a>
 279 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGEMMMatrixVectorMultiplyKernel</a>
 280 , <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEHarrisScoreKernel&lt; block_size &gt;</a>
 281 , <a class="el" href="classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEIntegralImageKernel</a>
 282 , <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NELKTrackerKernel</a>
 283 , <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NELogits1DMaxKernel</a>
 284 , <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEMeanStdDevKernel</a>
 285 , <a class="el" href="classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEMedian3x3Kernel</a>
 286 , <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NENonLinearFilterKernel</a>
 287 , <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NENonMaximaSuppression3x3Kernel</a>
 288 , <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NENormalizationLayerKernel</a>
 289 , <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEPixelWiseMultiplicationKernel</a>
 290 , <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEPoolingLayerKernel</a>
 291 , <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEReductionOperationKernel</a>
 292 , <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NERemapKernel</a>
 293 , <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEScaleKernel</a>
 294 , <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEScharr3x3Kernel</a>
 295 , <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESeparableConvolutionHorKernel&lt; matrix_size &gt;</a>
 296 , <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESeparableConvolutionVertKernel&lt; matrix_size &gt;</a>
 297 , <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel3x3Kernel</a>
 298 , <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel5x5HorKernel</a>
 299 , <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel5x5VertKernel</a>
 300 , <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel7x7HorKernel</a>
 301 , <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel7x7VertKernel</a>
 302 </li>
 303 <li>BorderSize()
 304 : <a class="el" href="structarm__compute_1_1_border_size.xhtml#a44089024084b73c5b83e509518df48e0">BorderSize</a>
 305 </li>
 306 <li>bound_edges()
 307 : <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a46cf82145c653850f5913140ca83d04b">Tensor</a>
 308 </li>
 309 <li>BranchLayer()
 310 : <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_branch_layer.xhtml#aa412c659eb4b4fecfa3203331286d5d3">BranchLayer</a>
 311 </li>
 312 <li>brelu()
 313 : <a class="el" href="structarm__compute_1_1detail_1_1brelu.xhtml#aa616370cb7c15ee81a8baecd6f9b8545">brelu&lt; T, S &gt;</a>
 314 </li>
 315 <li>broadcast_if_dimension_le_one()
 316 : <a class="el" href="classarm__compute_1_1_window.xhtml#a516930a0dfd85fcfc5af68e0e60e9786">Window</a>
 317 </li>
 318 <li>broadcast_shape()
 319 : <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a58838fbdce5b5330d84e62329b45ff7d">TensorShape</a>
 320 </li>
 321 <li>broadcast_shape_and_valid_region()
 322 : <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185">ITensorInfo</a>
 323 </li>
 324 <li>buffer()
 325 : <a class="el" href="classarm__compute_1_1_array.xhtml#a46fdef12397c4404e7706cba3568b42d">Array&lt; T &gt;</a>
 326 , <a class="el" href="classarm__compute_1_1_distribution1_d.xhtml#a0a383529771c579b362ede2307c6bab9">Distribution1D</a>
 327 , <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#ace7b855e3c647d29cc37a1ce147901dc">GCTensor</a>
 328 , <a class="el" href="classarm__compute_1_1_i_array.xhtml#a4b55468220c2029e7ee1594e34b2b21f">IArray&lt; T &gt;</a>
 329 , <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml#a46fdef12397c4404e7706cba3568b42d">ICLArray&lt; T &gt;</a>
 330 , <a class="el" href="classarm__compute_1_1_i_c_l_distribution1_d.xhtml#a0a383529771c579b362ede2307c6bab9">ICLDistribution1D</a>
 331 , <a class="el" href="classarm__compute_1_1_i_c_l_lut.xhtml#ace7b855e3c647d29cc37a1ce147901dc">ICLLut</a>
 332 , <a class="el" href="classarm__compute_1_1_i_c_l_memory_region.xhtml#aefe8db4d79cd87ccb3d6ac55e25594aa">ICLMemoryRegion</a>
 333 , <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml#ace7b855e3c647d29cc37a1ce147901dc">ICLTensor</a>
 334 , <a class="el" href="classarm__compute_1_1_i_distribution.xhtml#a0eb5856c63562cb144938ed77d6823a0">IDistribution</a>
 335 , <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml#ace7b855e3c647d29cc37a1ce147901dc">IGCTensor</a>
 336 , <a class="el" href="classarm__compute_1_1_i_lut.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">ILut</a>
 337 , <a class="el" href="classarm__compute_1_1_i_memory_region.xhtml#aeb4cf01e5d74997a1994272225baeb05">IMemoryRegion</a>
 338 , <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">ITensor</a>
 339 , <a class="el" href="classarm__compute_1_1_lut.xhtml#ace7b855e3c647d29cc37a1ce147901dc">Lut</a>
 340 , <a class="el" href="classarm__compute_1_1_memory_region.xhtml#a80776c0cd484c25f25e4e7d8198c4678">MemoryRegion</a>
 341 , <a class="el" href="classarm__compute_1_1_sub_tensor.xhtml#ace7b855e3c647d29cc37a1ce147901dc">SubTensor</a>
 342 , <a class="el" href="classarm__compute_1_1_tensor.xhtml#ace7b855e3c647d29cc37a1ce147901dc">Tensor</a>
 343 , <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f">ArrayAccessor&lt; T &gt;</a>
 344 , <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f">CLArrayAccessor&lt; T &gt;</a>
 345 , <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a4e1979433c9e97e4797fdb060ca5e3ad">IArrayAccessor&lt; T &gt;</a>
 346 </li>
 347 <li>build()
 348 : <a class="el" href="classarm__compute_1_1_program.xhtml#ad321fe7c8b8db45f1e48b6f7d13346c5">Program</a>
 349 , <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>
 350 , <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>
 351 , <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>
 352 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml#a7740c7ab195c03ac140f1f75f633470f">MobileNetV1Network&lt; TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
 353 </li>
 354 </ul>
 355 </div><!-- contents -->
 356 </div><!-- doc-content -->
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 360     <li class="footer">Generated on Wed May 23 2018 11:36:46 for Compute Library by
 361     <a href="http://www.doxygen.org/index.html">
 362     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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