documentation/functions_func.xhtml

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  90       <li><a href="functions.xhtml"><span>All</span></a></li>
  91       <li class="current"><a href="functions_func.xhtml"><span>Functions</span></a></li>
  92       <li><a href="functions_vars.xhtml"><span>Variables</span></a></li>
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  95       <li><a href="functions_rela.xhtml"><span>Related&#160;Functions</span></a></li>
  96     </ul>
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  99     <ul class="tablist">
 100       <li class="current"><a href="functions_func.xhtml#index_a"><span>a</span></a></li>
 101       <li><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>
 128   </div>
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 158 <div class="contents">
 159 &#160;
 160
 161 <h3><a class="anchor" id="index_a"></a>- a -</h3><ul>
 162 <li>a()
 163 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a55beddf67f69fc5312961b1b112560fb">ActivationLayerInfo</a>
 164 </li>
 165 <li>abs()
 166 : <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a3c04cac868606ed11c00761f0d5b3d2c">functions</a>
 167 </li>
 168 <li>AbsoluteTolerance()
 169 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#a0856d709c655f740d93b50e9121a7aa3">AbsoluteTolerance&lt; T &gt;</a>
 170 </li>
 171 <li>accept()
 172 : <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ActivationLayerNode</a>
 173 , <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">BatchNormalizationLayerNode</a>
 174 , <a class="el" href="classarm__compute_1_1graph_1_1_const_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ConstNode</a>
 175 , <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ConvolutionLayerNode</a>
 176 , <a class="el" href="classarm__compute_1_1graph_1_1_depth_concatenate_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DepthConcatenateLayerNode</a>
 177 , <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DepthwiseConvolutionLayerNode</a>
 178 , <a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">EltwiseLayerNode</a>
 179 , <a class="el" href="classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">FlattenLayerNode</a>
 180 , <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">FullyConnectedLayerNode</a>
 181 , <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a69a6e8613e2e1b00de98610c2ae6288a">INode</a>
 182 , <a class="el" href="classarm__compute_1_1graph_1_1_input_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">InputNode</a>
 183 , <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">NormalizationLayerNode</a>
 184 , <a class="el" href="classarm__compute_1_1graph_1_1_output_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">OutputNode</a>
 185 , <a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">PoolingLayerNode</a>
 186 , <a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ReshapeLayerNode</a>
 187 , <a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">SoftmaxLayerNode</a>
 188 , <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">SplitLayerNode</a>
 189 </li>
 190 <li>access_tensor()
 191 : <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665">ITensorAccessor</a>
 192 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">DummyAccessor</a>
 193 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyAccessor</a>
 194 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyBinLoader</a>
 195 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMAccessor</a>
 196 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMWriter</a>
 197 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">RandomAccessor</a>
 198 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">TopNPredictionsAccessor</a>
 199 </li>
 200 <li>accessor()
 201 : <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a628ae217fcdf428262157653be68021d">Tensor</a>
 202 </li>
 203 <li>Accessor()
 204 : <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a1dc30c7bdc2d650f29ed45ec5110a0c6">Accessor</a>
 205 </li>
 206 <li>AccessWindowAutoPadding()
 207 : <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#a55ae8ac3b55093b24fe30805828de164">AccessWindowAutoPadding</a>
 208 </li>
 209 <li>AccessWindowHorizontal()
 210 : <a class="el" href="classarm__compute_1_1_access_window_horizontal.xhtml#ae44d5d1d474ac5fa01159d24f7318f7f">AccessWindowHorizontal</a>
 211 </li>
 212 <li>AccessWindowRectangle()
 213 : <a class="el" href="classarm__compute_1_1_access_window_rectangle.xhtml#ae89409b4c8b08f06ab694e829223932b">AccessWindowRectangle</a>
 214 </li>
 215 <li>AccessWindowStatic()
 216 : <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a9a7f835520e9f3b19b414f61c4f86f99">AccessWindowStatic</a>
 217 </li>
 218 <li>AccessWindowVertical()
 219 : <a class="el" href="classarm__compute_1_1_access_window_vertical.xhtml#af470e59c429be56a65a66e806816246d">AccessWindowVertical</a>
 220 </li>
 221 <li>acquire()
 222 : <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">BlobMemoryPool</a>
 223 , <a class="el" href="classarm__compute_1_1_i_memory_group.xhtml#accdbc89f54447d25dfc018d38070f4ea">IMemoryGroup</a>
 224 , <a class="el" href="classarm__compute_1_1_i_memory_pool.xhtml#a064f06f20fc565efbb2227aac827c12f">IMemoryPool</a>
 225 , <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#a8d16047fa6fdcf5f5453056cc0e1daba">MemoryGroupBase&lt; TensorType &gt;</a>
 226 , <a class="el" href="classarm__compute_1_1_offset_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">OffsetMemoryPool</a>
 227 </li>
 228 <li>activation()
 229 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">ActivationLayerInfo</a>
 230 </li>
 231 <li>activation_info()
 232 : <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#ad09465cceb063464e0ba1e474b82b318">ActivationLayerNode</a>
 233 </li>
 234 <li>ActivationLayer()
 235 : <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml#ae538c5265a9f26cac7d41eeca26a60a0">ActivationLayer</a>
 236 </li>
 237 <li>ActivationLayerInfo()
 238 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#ac06d9557031b0febb70869efd793cb38">ActivationLayerInfo</a>
 239 </li>
 240 <li>ActivationLayerNode()
 241 : <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a40594431d9de2c931d4b0946c44af55e">ActivationLayerNode</a>
 242 </li>
 243 <li>add()
 244 : <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a40956c61706d70b8978c2b87ac455d2a">functions</a>
 245 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a9a2cd15d64a87642898d68b060a5afa9">Profiler</a>
 246 , <a class="el" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">TensorCache</a>
 247 </li>
 248 <li>add_1D_array_argument()
 249 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">ICLKernel</a>
 250 </li>
 251 <li>add_1D_tensor_argument()
 252 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">ICLKernel</a>
 253 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">IGCKernel</a>
 254 </li>
 255 <li>add_2D_tensor_argument()
 256 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">ICLKernel</a>
 257 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">IGCKernel</a>
 258 </li>
 259 <li>add_3D_tensor_argument()
 260 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">ICLKernel</a>
 261 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">IGCKernel</a>
 262 </li>
 263 <li>add_4D_tensor_argument()
 264 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">ICLKernel</a>
 265 </li>
 266 <li>add_activation_node()
 267 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a890a11b240837645352791b2e89632b1">GraphBuilder</a>
 268 </li>
 269 <li>add_argument()
 270 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">ICLKernel</a>
 271 </li>
 272 <li>add_array_argument()
 273 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">ICLKernel</a>
 274 </li>
 275 <li>add_backend()
 276 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a451414fa66c0042dbda95c7620b377a5">BackendRegistry</a>
 277 </li>
 278 <li>add_batch_normalization_node()
 279 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#acc31c037c3eac4234abae6ec0e080d2f">GraphBuilder</a>
 280 </li>
 281 <li>add_built_program()
 282 : <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a76d1513abb2d86ece6044a4fe2a83f56">CLKernelLibrary</a>
 283 </li>
 284 <li>add_connection()
 285 : <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">Graph</a>
 286 </li>
 287 <li>add_const_node()
 288 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ac304c66615e62c6b4aa40e8728920002">GraphBuilder</a>
 289 </li>
 290 <li>add_convolution_node()
 291 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2c8bc1735814df209ef5ad3323cd5863">GraphBuilder</a>
 292 </li>
 293 <li>add_data_test_case()
 294 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#aff39a3b89865624b6579d6980fb88654">Framework</a>
 295 </li>
 296 <li>add_decorator()
 297 : <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#aca0de1bc76119d77831c0b1d58a20f4d">Logger</a>
 298 </li>
 299 <li>add_depth_concatenate_node()
 300 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4e79becb4675e8e78f5ffb30a89460ca">GraphBuilder</a>
 301 </li>
 302 <li>add_depthwise_convolution_node()
 303 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8e4e65674676098214cd6ee38d740bb1">GraphBuilder</a>
 304 </li>
 305 <li>add_elementwise_node()
 306 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7d0d78c3fe7a6530cf184a8f99172214">GraphBuilder</a>
 307 </li>
 308 <li>add_flatten_node()
 309 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a822583f5b38ff029ea1e1c221dbfe19f">GraphBuilder</a>
 310 </li>
 311 <li>add_fully_connected_layer()
 312 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ad1dbeadf5e85d923fa0751b19c0a4170">GraphBuilder</a>
 313 </li>
 314 <li>add_input_node()
 315 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4bed63b35b24f8f44260237558e8a02b">GraphBuilder</a>
 316 </li>
 317 <li>add_layer()
 318 : <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a1279b8b362e78d55d4951512f410b14e">IStream</a>
 319 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a962a6d769f57dd2f1a0b8beb714fc6bb">Stream</a>
 320 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#a962a6d769f57dd2f1a0b8beb714fc6bb">SubStream</a>
 321 </li>
 322 <li>add_lws_to_table()
 323 : <a class="el" href="classarm__compute_1_1_c_l_tuner.xhtml#a7de8b49d3ae94affb80ba48945368a8a">CLTuner</a>
 324 </li>
 325 <li>add_node()
 326 : <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a3ffda41b00085a84a5d4bc46f1106e17">Graph</a>
 327 </li>
 328 <li>add_normalization_node()
 329 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a15885529ec64ecf2b388f6229c5a65fa">GraphBuilder</a>
 330 </li>
 331 <li>add_option()
 332 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">CLBuildOptions</a>
 333 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a533951910a8df4f26eac7e534a226c5f">CommandLineParser</a>
 334 </li>
 335 <li>add_option_if()
 336 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">CLBuildOptions</a>
 337 </li>
 338 <li>add_option_if_else()
 339 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a9b58a8c8bf638904a0b5f62b2bfcf96a">CLBuildOptions</a>
 340 </li>
 341 <li>add_options()
 342 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a58abf0792821f6f1d6271570aa27dd84">CLBuildOptions</a>
 343 </li>
 344 <li>add_options_if()
 345 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a504e7a51a86c19f1f529f739f50729f2">CLBuildOptions</a>
 346 </li>
 347 <li>add_output_node()
 348 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ab87ec51542d159d5efae373c82b7944c">GraphBuilder</a>
 349 </li>
 350 <li>add_pooling_node()
 351 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af8eae85804c35bc91d26fe28efc3936a">GraphBuilder</a>
 352 </li>
 353 <li>add_positional_option()
 354 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a079cbecac60787502777460ef65491c0">CommandLineParser</a>
 355 </li>
 356 <li>add_printer()
 357 : <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#a1a5b7c4d38c6f9fd1550c62441b69648">Logger</a>
 358 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a5f16ced78873ee3a193490197fbf57a5">Framework</a>
 359 </li>
 360 <li>add_reshape_node()
 361 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a30a1530d919a233e389f32ad9a6e2b25">GraphBuilder</a>
 362 </li>
 363 <li>add_scale_layer()
 364 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9065925e20c5b5aa449d3ef9dc371085">GraphBuilder</a>
 365 </li>
 366 <li>add_softmax_node()
 367 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#acb202d26a81ff465a95e5f869d6ee141">GraphBuilder</a>
 368 </li>
 369 <li>add_split_node()
 370 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#afbe47092174c74b23af3312c02341e09">GraphBuilder</a>
 371 </li>
 372 <li>add_test_case()
 373 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ad8e7764125fcd790e0b151d26cfe949c">Framework</a>
 374 </li>
 375 <li>add_test_info()
 376 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ab5eae10e0a4067cff9e87fdcb186eca8">Framework</a>
 377 </li>
 378 <li>adjust()
 379 : <a class="el" href="classarm__compute_1_1_window.xhtml#a69496c7cb46a4101813d7456a6bd097b">Window</a>
 380 </li>
 381 <li>allocate()
 382 : <a class="el" href="classarm__compute_1_1_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">Allocator</a>
 383 , <a class="el" href="classarm__compute_1_1_c_l_buffer_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">CLBufferAllocator</a>
 384 , <a class="el" href="classarm__compute_1_1_c_l_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLMultiImage</a>
 385 , <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLPyramid</a>
 386 , <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorAllocator</a>
 387 , <a class="el" href="classarm__compute_1_1_g_c_buffer_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">GCBufferAllocator</a>
 388 , <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">GCTensorAllocator</a>
 389 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLSubTensorHandle</a>
 390 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorHandle</a>
 391 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">GCTensorHandle</a>
 392 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">NESubTensorHandle</a>
 393 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">NETensorHandle</a>
 394 , <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorHandle</a>
 395 , <a class="el" href="classarm__compute_1_1_i_allocator.xhtml#a6ce9dda753afa9abb498f3d6b673e595">IAllocator</a>
 396 , <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator</a>
 397 , <a class="el" href="classarm__compute_1_1_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MultiImage</a>
 398 , <a class="el" href="classarm__compute_1_1_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">Pyramid</a>
 399 , <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">TensorAllocator</a>
 400 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">AlexNetNetwork&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
 401 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_le_net5_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">LeNet5Network&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
 402 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MobileNetNetwork&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction &gt;</a>
 403 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MobileNetV1Network&lt; TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
 404 </li>
 405 <li>Allocator()
 406 : <a class="el" href="classarm__compute_1_1_allocator.xhtml#a20ec13b471d9434e1c3dd9d93c004e07">Allocator</a>
 407 </li>
 408 <li>allocator()
 409 : <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">CLLut</a>
 410 , <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#a256b18d4e6fdbbff14937b4b9089bdd3">CLTensor</a>
 411 , <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">GCTensor</a>
 412 , <a class="el" href="classarm__compute_1_1_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">Lut</a>
 413 , <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor</a>
 414 </li>
 415 <li>alpha()
 416 : <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a4ee7f04c477d0e6a2a3609c24a8815b8">NormalizationLayerInfo</a>
 417 </li>
 418 <li>append()
 419 : <a class="el" href="classarm__compute_1_1graph_1_1_pass_manager.xhtml#a66b7dba05c5fbdb79f5eb6d85c5ccce4">PassManager</a>
 420 </li>
 421 <li>are_all_finalized()
 422 : <a class="el" href="classarm__compute_1_1_i_lifetime_manager.xhtml#a1bb5a543056e56ff45f413040d316312">ILifetimeManager</a>
 423 , <a class="el" href="classarm__compute_1_1_i_simple_lifetime_manager.xhtml#aa849cbaa03d63911dbbedc830f22943d">ISimpleLifetimeManager</a>
 424 </li>
 425 <li>are_reshaped()
 426 : <a class="el" href="classarm__compute_1_1_weights_info.xhtml#a5bfccf416ebb3979b4dca9a6ff6be5e0">WeightsInfo</a>
 427 </li>
 428 <li>area()
 429 : <a class="el" href="classarm__compute_1_1_size2_d.xhtml#ab220a7dd0ff5c86b4ba8acdf75af3252">Size2D</a>
 430 </li>
 431 <li>Array()
 432 : <a class="el" href="classarm__compute_1_1_array.xhtml#af9474cac29f3177edf5e8d72ea4a440c">Array&lt; T &gt;</a>
 433 </li>
 434 <li>ArrayAccessor()
 435 : <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#a53235c85779895ae247e7182a020e631">ArrayAccessor&lt; T &gt;</a>
 436 </li>
 437 <li>AssemblyKernelGlue()
 438 : <a class="el" href="classarm__compute_1_1_assembly_kernel_glue.xhtml#a4d00b55a18d07d51dd3c2d7a018cfdb3">AssemblyKernelGlue&lt; TypeInput, TypeOutput &gt;</a>
 439 </li>
 440 <li>AssetsLibrary()
 441 : <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">AssetsLibrary</a>
 442 </li>
 443 <li>assigned_target()
 444 : <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a72123a16315dde55dade52690642f56c">INode</a>
 445 </li>
 446 <li>at()
 447 : <a class="el" href="classarm__compute_1_1_i_array.xhtml#a861d8aa0fbeb6a0a33ec8d556b7e8657">IArray&lt; T &gt;</a>
 448 , <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">ArrayAccessor&lt; T &gt;</a>
 449 , <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">CLArrayAccessor&lt; T &gt;</a>
 450 , <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#ad1d196a1f89d9889461e6920b92d4db5">IArrayAccessor&lt; T &gt;</a>
 451 </li>
 452 <li>auto_padding()
 453 : <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">ITensorInfo</a>
 454 , <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">SubTensorInfo</a>
 455 , <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">TensorInfo</a>
 456 </li>
 457 <li>available_instruments()
 458 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a19a641ac841ecb3f867a75b374b36f61">Framework</a>
 459 </li>
 460 <li>axis()
 461 : <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a0e59cd433be4926d73bf74976f7f476b">SplitLayerNode</a>
 462 </li>
 463 </ul>
 464 </div><!-- contents -->
 465 </div><!-- doc-content -->
 466 <!-- start footer part -->
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 468   <ul>
 469     <li class="footer">Generated on Wed May 23 2018 11:36:46 for Compute Library by
 470     <a href="http://www.doxygen.org/index.html">
 471     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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 473 </div>
 474 </body>
 475 </html>