documentation/functions_a.xhtml

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  42    <div id="projectname">Compute Library
  43    &#160;<span id="projectnumber">18.05</span>
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  91       <li><a href="functions_func.xhtml"><span>Functions</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><a href="functions.xhtml#index__"><span>_</span></a></li>
 101       <li class="current"><a href="functions_a.xhtml#index_a"><span>a</span></a></li>
 102       <li><a href="functions_b.xhtml#index_b"><span>b</span></a></li>
 103       <li><a href="functions_c.xhtml#index_c"><span>c</span></a></li>
 104       <li><a href="functions_d.xhtml#index_d"><span>d</span></a></li>
 105       <li><a href="functions_e.xhtml#index_e"><span>e</span></a></li>
 106       <li><a href="functions_f.xhtml#index_f"><span>f</span></a></li>
 107       <li><a href="functions_g.xhtml#index_g"><span>g</span></a></li>
 108       <li><a href="functions_h.xhtml#index_h"><span>h</span></a></li>
 109       <li><a href="functions_i.xhtml#index_i"><span>i</span></a></li>
 110       <li><a href="functions_j.xhtml#index_j"><span>j</span></a></li>
 111       <li><a href="functions_k.xhtml#index_k"><span>k</span></a></li>
 112       <li><a href="functions_l.xhtml#index_l"><span>l</span></a></li>
 113       <li><a href="functions_m.xhtml#index_m"><span>m</span></a></li>
 114       <li><a href="functions_n.xhtml#index_n"><span>n</span></a></li>
 115       <li><a href="functions_o.xhtml#index_o"><span>o</span></a></li>
 116       <li><a href="functions_p.xhtml#index_p"><span>p</span></a></li>
 117       <li><a href="functions_q.xhtml#index_q"><span>q</span></a></li>
 118       <li><a href="functions_r.xhtml#index_r"><span>r</span></a></li>
 119       <li><a href="functions_s.xhtml#index_s"><span>s</span></a></li>
 120       <li><a href="functions_t.xhtml#index_t"><span>t</span></a></li>
 121       <li><a href="functions_u.xhtml#index_u"><span>u</span></a></li>
 122       <li><a href="functions_v.xhtml#index_v"><span>v</span></a></li>
 123       <li><a href="functions_w.xhtml#index_w"><span>w</span></a></li>
 124       <li><a href="functions_x.xhtml#index_x"><span>x</span></a></li>
 125       <li><a href="functions_y.xhtml#index_y"><span>y</span></a></li>
 126       <li><a href="functions_z.xhtml#index_z"><span>z</span></a></li>
 127       <li><a href="functions_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
 128     </ul>
 129   </div>
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 157 </div>
 158
 159 <div class="contents">
 160 <div class="textblock">Here is a list of all struct and union fields with links to the structures/unions they belong to:</div>
 161
 162 <h3><a class="anchor" id="index_a"></a>- a -</h3><ul>
 163 <li>a()
 164 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a55beddf67f69fc5312961b1b112560fb">ActivationLayerInfo</a>
 165 </li>
 166 <li>A11
 167 : <a class="el" href="structarm__compute_1_1_c_l_coefficient_table.xhtml#adde8ad2311dc11f75f5571a764c6af97">CLCoefficientTable</a>
 168 </li>
 169 <li>A12
 170 : <a class="el" href="structarm__compute_1_1_c_l_coefficient_table.xhtml#a380c8116f7d47ce2367992bb986f9876">CLCoefficientTable</a>
 171 </li>
 172 <li>A22
 173 : <a class="el" href="structarm__compute_1_1_c_l_coefficient_table.xhtml#a20800b3d0475448767d2b30c530e1e29">CLCoefficientTable</a>
 174 </li>
 175 <li>abs()
 176 : <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a3c04cac868606ed11c00761f0d5b3d2c">functions</a>
 177 </li>
 178 <li>AbsoluteTolerance()
 179 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#a98a801b3455152020b7543995eeb3224">AbsoluteTolerance&lt; T &gt;</a>
 180 </li>
 181 <li>accept()
 182 : <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ActivationLayerNode</a>
 183 , <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">BatchNormalizationLayerNode</a>
 184 , <a class="el" href="classarm__compute_1_1graph_1_1_const_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ConstNode</a>
 185 , <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ConvolutionLayerNode</a>
 186 , <a class="el" href="classarm__compute_1_1graph_1_1_depth_concatenate_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DepthConcatenateLayerNode</a>
 187 , <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DepthwiseConvolutionLayerNode</a>
 188 , <a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">EltwiseLayerNode</a>
 189 , <a class="el" href="classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">FlattenLayerNode</a>
 190 , <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">FullyConnectedLayerNode</a>
 191 , <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a69a6e8613e2e1b00de98610c2ae6288a">INode</a>
 192 , <a class="el" href="classarm__compute_1_1graph_1_1_input_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">InputNode</a>
 193 , <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">NormalizationLayerNode</a>
 194 , <a class="el" href="classarm__compute_1_1graph_1_1_output_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">OutputNode</a>
 195 , <a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">PoolingLayerNode</a>
 196 , <a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ReshapeLayerNode</a>
 197 , <a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">SoftmaxLayerNode</a>
 198 , <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">SplitLayerNode</a>
 199 </li>
 200 <li>access_tensor()
 201 : <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665">ITensorAccessor</a>
 202 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">DummyAccessor</a>
 203 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyAccessor</a>
 204 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyBinLoader</a>
 205 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMAccessor</a>
 206 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMWriter</a>
 207 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">RandomAccessor</a>
 208 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">TopNPredictionsAccessor</a>
 209 </li>
 210 <li>accessor()
 211 : <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a628ae217fcdf428262157653be68021d">Tensor</a>
 212 </li>
 213 <li>Accessor()
 214 : <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a07899949ec789695420c2e13544ef9a5">Accessor</a>
 215 </li>
 216 <li>AccessWindowAutoPadding()
 217 : <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#a55ae8ac3b55093b24fe30805828de164">AccessWindowAutoPadding</a>
 218 </li>
 219 <li>AccessWindowHorizontal()
 220 : <a class="el" href="classarm__compute_1_1_access_window_horizontal.xhtml#ae44d5d1d474ac5fa01159d24f7318f7f">AccessWindowHorizontal</a>
 221 </li>
 222 <li>AccessWindowRectangle()
 223 : <a class="el" href="classarm__compute_1_1_access_window_rectangle.xhtml#ae89409b4c8b08f06ab694e829223932b">AccessWindowRectangle</a>
 224 </li>
 225 <li>AccessWindowStatic()
 226 : <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a9a7f835520e9f3b19b414f61c4f86f99">AccessWindowStatic</a>
 227 </li>
 228 <li>AccessWindowVertical()
 229 : <a class="el" href="classarm__compute_1_1_access_window_vertical.xhtml#af470e59c429be56a65a66e806816246d">AccessWindowVertical</a>
 230 </li>
 231 <li>acquire()
 232 : <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">BlobMemoryPool</a>
 233 , <a class="el" href="classarm__compute_1_1_i_memory_group.xhtml#accdbc89f54447d25dfc018d38070f4ea">IMemoryGroup</a>
 234 , <a class="el" href="classarm__compute_1_1_i_memory_pool.xhtml#a064f06f20fc565efbb2227aac827c12f">IMemoryPool</a>
 235 , <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#a8d16047fa6fdcf5f5453056cc0e1daba">MemoryGroupBase&lt; TensorType &gt;</a>
 236 , <a class="el" href="classarm__compute_1_1_offset_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">OffsetMemoryPool</a>
 237 </li>
 238 <li>activation()
 239 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">ActivationLayerInfo</a>
 240 </li>
 241 <li>activation_info()
 242 : <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#ad09465cceb063464e0ba1e474b82b318">ActivationLayerNode</a>
 243 </li>
 244 <li>ActivationFunction
 245 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationLayerInfo</a>
 246 </li>
 247 <li>ActivationLayer()
 248 : <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml#ae538c5265a9f26cac7d41eeca26a60a0">ActivationLayer</a>
 249 </li>
 250 <li>ActivationLayerInfo()
 251 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#ac06d9557031b0febb70869efd793cb38">ActivationLayerInfo</a>
 252 </li>
 253 <li>ActivationLayerNode()
 254 : <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a40594431d9de2c931d4b0946c44af55e">ActivationLayerNode</a>
 255 </li>
 256 <li>add()
 257 : <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a40956c61706d70b8978c2b87ac455d2a">functions</a>
 258 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a9a2cd15d64a87642898d68b060a5afa9">Profiler</a>
 259 , <a class="el" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">TensorCache</a>
 260 </li>
 261 <li>add_1D_array_argument()
 262 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">ICLKernel</a>
 263 </li>
 264 <li>add_1D_tensor_argument()
 265 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">ICLKernel</a>
 266 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">IGCKernel</a>
 267 </li>
 268 <li>add_2D_tensor_argument()
 269 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">ICLKernel</a>
 270 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">IGCKernel</a>
 271 </li>
 272 <li>add_3D_tensor_argument()
 273 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">ICLKernel</a>
 274 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">IGCKernel</a>
 275 </li>
 276 <li>add_4D_tensor_argument()
 277 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">ICLKernel</a>
 278 </li>
 279 <li>add_activation_node()
 280 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a890a11b240837645352791b2e89632b1">GraphBuilder</a>
 281 </li>
 282 <li>add_argument()
 283 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">ICLKernel</a>
 284 </li>
 285 <li>add_array_argument()
 286 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">ICLKernel</a>
 287 </li>
 288 <li>add_backend()
 289 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a451414fa66c0042dbda95c7620b377a5">BackendRegistry</a>
 290 </li>
 291 <li>add_batch_normalization_node()
 292 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#acc31c037c3eac4234abae6ec0e080d2f">GraphBuilder</a>
 293 </li>
 294 <li>add_built_program()
 295 : <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a76d1513abb2d86ece6044a4fe2a83f56">CLKernelLibrary</a>
 296 </li>
 297 <li>add_connection()
 298 : <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">Graph</a>
 299 </li>
 300 <li>add_const_node()
 301 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ac304c66615e62c6b4aa40e8728920002">GraphBuilder</a>
 302 </li>
 303 <li>add_convolution_node()
 304 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2c8bc1735814df209ef5ad3323cd5863">GraphBuilder</a>
 305 </li>
 306 <li>add_data_test_case()
 307 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#aff39a3b89865624b6579d6980fb88654">Framework</a>
 308 </li>
 309 <li>add_decorator()
 310 : <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#aca0de1bc76119d77831c0b1d58a20f4d">Logger</a>
 311 </li>
 312 <li>add_depth_concatenate_node()
 313 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4e79becb4675e8e78f5ffb30a89460ca">GraphBuilder</a>
 314 </li>
 315 <li>add_depthwise_convolution_node()
 316 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8e4e65674676098214cd6ee38d740bb1">GraphBuilder</a>
 317 </li>
 318 <li>add_elementwise_node()
 319 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7d0d78c3fe7a6530cf184a8f99172214">GraphBuilder</a>
 320 </li>
 321 <li>add_flatten_node()
 322 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a822583f5b38ff029ea1e1c221dbfe19f">GraphBuilder</a>
 323 </li>
 324 <li>add_fully_connected_layer()
 325 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ad1dbeadf5e85d923fa0751b19c0a4170">GraphBuilder</a>
 326 </li>
 327 <li>add_input_node()
 328 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4bed63b35b24f8f44260237558e8a02b">GraphBuilder</a>
 329 </li>
 330 <li>add_layer()
 331 : <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a1279b8b362e78d55d4951512f410b14e">IStream</a>
 332 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a962a6d769f57dd2f1a0b8beb714fc6bb">Stream</a>
 333 , <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#a962a6d769f57dd2f1a0b8beb714fc6bb">SubStream</a>
 334 </li>
 335 <li>add_lws_to_table()
 336 : <a class="el" href="classarm__compute_1_1_c_l_tuner.xhtml#a7de8b49d3ae94affb80ba48945368a8a">CLTuner</a>
 337 </li>
 338 <li>add_node()
 339 : <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a3ffda41b00085a84a5d4bc46f1106e17">Graph</a>
 340 </li>
 341 <li>add_normalization_node()
 342 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a15885529ec64ecf2b388f6229c5a65fa">GraphBuilder</a>
 343 </li>
 344 <li>add_option()
 345 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">CLBuildOptions</a>
 346 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a533951910a8df4f26eac7e534a226c5f">CommandLineParser</a>
 347 </li>
 348 <li>add_option_if()
 349 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">CLBuildOptions</a>
 350 </li>
 351 <li>add_option_if_else()
 352 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a9b58a8c8bf638904a0b5f62b2bfcf96a">CLBuildOptions</a>
 353 </li>
 354 <li>add_options()
 355 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a58abf0792821f6f1d6271570aa27dd84">CLBuildOptions</a>
 356 </li>
 357 <li>add_options_if()
 358 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a504e7a51a86c19f1f529f739f50729f2">CLBuildOptions</a>
 359 </li>
 360 <li>add_output_node()
 361 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ab87ec51542d159d5efae373c82b7944c">GraphBuilder</a>
 362 </li>
 363 <li>add_pooling_node()
 364 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af8eae85804c35bc91d26fe28efc3936a">GraphBuilder</a>
 365 </li>
 366 <li>add_positional_option()
 367 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a079cbecac60787502777460ef65491c0">CommandLineParser</a>
 368 </li>
 369 <li>add_printer()
 370 : <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#a1a5b7c4d38c6f9fd1550c62441b69648">Logger</a>
 371 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a5f16ced78873ee3a193490197fbf57a5">Framework</a>
 372 </li>
 373 <li>add_reshape_node()
 374 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a30a1530d919a233e389f32ad9a6e2b25">GraphBuilder</a>
 375 </li>
 376 <li>add_scale_layer()
 377 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9065925e20c5b5aa449d3ef9dc371085">GraphBuilder</a>
 378 </li>
 379 <li>add_softmax_node()
 380 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#acb202d26a81ff465a95e5f869d6ee141">GraphBuilder</a>
 381 </li>
 382 <li>add_split_node()
 383 : <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#afbe47092174c74b23af3312c02341e09">GraphBuilder</a>
 384 </li>
 385 <li>add_test_case()
 386 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ad8e7764125fcd790e0b151d26cfe949c">Framework</a>
 387 </li>
 388 <li>add_test_info()
 389 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ab5eae10e0a4067cff9e87fdcb186eca8">Framework</a>
 390 </li>
 391 <li>adjust()
 392 : <a class="el" href="classarm__compute_1_1_window.xhtml#a69496c7cb46a4101813d7456a6bd097b">Window</a>
 393 </li>
 394 <li>align_columns
 395 : <a class="el" href="structarm__compute_1_1_i_o_format_info.xhtml#a1d81fe110d5dcac79dd73a532015bb94">IOFormatInfo</a>
 396 </li>
 397 <li>allocate()
 398 : <a class="el" href="classarm__compute_1_1_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">Allocator</a>
 399 , <a class="el" href="classarm__compute_1_1_c_l_buffer_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">CLBufferAllocator</a>
 400 , <a class="el" href="classarm__compute_1_1_c_l_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLMultiImage</a>
 401 , <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLPyramid</a>
 402 , <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorAllocator</a>
 403 , <a class="el" href="classarm__compute_1_1_g_c_buffer_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">GCBufferAllocator</a>
 404 , <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">GCTensorAllocator</a>
 405 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLSubTensorHandle</a>
 406 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorHandle</a>
 407 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">GCTensorHandle</a>
 408 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">NESubTensorHandle</a>
 409 , <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">NETensorHandle</a>
 410 , <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorHandle</a>
 411 , <a class="el" href="classarm__compute_1_1_i_allocator.xhtml#a6ce9dda753afa9abb498f3d6b673e595">IAllocator</a>
 412 , <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator</a>
 413 , <a class="el" href="classarm__compute_1_1_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MultiImage</a>
 414 , <a class="el" href="classarm__compute_1_1_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">Pyramid</a>
 415 , <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">TensorAllocator</a>
 416 , <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>
 417 , <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>
 418 , <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>
 419 , <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>
 420 </li>
 421 <li>Allocator()
 422 : <a class="el" href="classarm__compute_1_1_allocator.xhtml#a20ec13b471d9434e1c3dd9d93c004e07">Allocator</a>
 423 </li>
 424 <li>allocator()
 425 : <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">CLLut</a>
 426 , <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#a256b18d4e6fdbbff14937b4b9089bdd3">CLTensor</a>
 427 , <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">GCTensor</a>
 428 , <a class="el" href="classarm__compute_1_1_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">Lut</a>
 429 , <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor</a>
 430 </li>
 431 <li>alpha()
 432 : <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a4ee7f04c477d0e6a2a3609c24a8815b8">NormalizationLayerInfo</a>
 433 </li>
 434 <li>anchor
 435 : <a class="el" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">ValidRegion</a>
 436 </li>
 437 <li>append()
 438 : <a class="el" href="classarm__compute_1_1graph_1_1_pass_manager.xhtml#a66b7dba05c5fbdb79f5eb6d85c5ccce4">PassManager</a>
 439 </li>
 440 <li>are_all_finalized()
 441 : <a class="el" href="classarm__compute_1_1_i_lifetime_manager.xhtml#a1bb5a543056e56ff45f413040d316312">ILifetimeManager</a>
 442 , <a class="el" href="classarm__compute_1_1_i_simple_lifetime_manager.xhtml#aa849cbaa03d63911dbbedc830f22943d">ISimpleLifetimeManager</a>
 443 </li>
 444 <li>are_reshaped()
 445 : <a class="el" href="classarm__compute_1_1_weights_info.xhtml#a5bfccf416ebb3979b4dca9a6ff6be5e0">WeightsInfo</a>
 446 </li>
 447 <li>area()
 448 : <a class="el" href="classarm__compute_1_1_size2_d.xhtml#ab220a7dd0ff5c86b4ba8acdf75af3252">Size2D</a>
 449 </li>
 450 <li>Array()
 451 : <a class="el" href="classarm__compute_1_1_array.xhtml#af9474cac29f3177edf5e8d72ea4a440c">Array&lt; T &gt;</a>
 452 </li>
 453 <li>ArrayAccessor()
 454 : <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#ab3668a4ef621da1b5a02fd25c81fee3a">ArrayAccessor&lt; T &gt;</a>
 455 </li>
 456 <li>AssemblyGemm
 457 : <a class="el" href="classarm__compute_1_1_assembly_kernel_glue.xhtml#a2b7261bda3dc469e02365df7719358b7">AssemblyKernelGlue&lt; TypeInput, TypeOutput &gt;</a>
 458 </li>
 459 <li>AssemblyKernelGlue()
 460 : <a class="el" href="classarm__compute_1_1_assembly_kernel_glue.xhtml#a4d00b55a18d07d51dd3c2d7a018cfdb3">AssemblyKernelGlue&lt; TypeInput, TypeOutput &gt;</a>
 461 </li>
 462 <li>AssetsLibrary()
 463 : <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">AssetsLibrary</a>
 464 </li>
 465 <li>assigned_target()
 466 : <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a72123a16315dde55dade52690642f56c">INode</a>
 467 </li>
 468 <li>at()
 469 : <a class="el" href="classarm__compute_1_1_i_array.xhtml#a861d8aa0fbeb6a0a33ec8d556b7e8657">IArray&lt; T &gt;</a>
 470 , <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">ArrayAccessor&lt; T &gt;</a>
 471 , <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">CLArrayAccessor&lt; T &gt;</a>
 472 , <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#ad1d196a1f89d9889461e6920b92d4db5">IArrayAccessor&lt; T &gt;</a>
 473 </li>
 474 <li>auto_padding()
 475 : <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">ITensorInfo</a>
 476 , <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">SubTensorInfo</a>
 477 , <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">TensorInfo</a>
 478 </li>
 479 <li>available_instruments()
 480 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a19a641ac841ecb3f867a75b374b36f61">Framework</a>
 481 </li>
 482 <li>axis()
 483 : <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a0e59cd433be4926d73bf74976f7f476b">SplitLayerNode</a>
 484 </li>
 485 </ul>
 486 </div><!-- contents -->
 487 </div><!-- doc-content -->
 488 <!-- start footer part -->
 489 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
 490   <ul>
 491     <li class="footer">Generated on Wed May 23 2018 11:36:45 for Compute Library by
 492     <a href="http://www.doxygen.org/index.html">
 493     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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 495 </div>
 496 </body>
 497 </html>