documentation/functions_func.xhtml

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  43    &#160;<span id="projectnumber">17.12</span>
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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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 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>access_tensor()
 172 : <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665">ITensorAccessor</a>
 173 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">DummyAccessor</a>
 174 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyBinLoader</a>
 175 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMAccessor</a>
 176 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMWriter</a>
 177 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">RandomAccessor</a>
 178 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">TopNPredictionsAccessor</a>
 179 </li>
 180 <li>Accessor()
 181 : <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a07899949ec789695420c2e13544ef9a5">Accessor</a>
 182 </li>
 183 <li>AccessWindowAutoPadding()
 184 : <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#ab876b2c3c41ed76c14c177c9373d320b">AccessWindowAutoPadding</a>
 185 </li>
 186 <li>AccessWindowHorizontal()
 187 : <a class="el" href="classarm__compute_1_1_access_window_horizontal.xhtml#ae44d5d1d474ac5fa01159d24f7318f7f">AccessWindowHorizontal</a>
 188 </li>
 189 <li>AccessWindowRectangle()
 190 : <a class="el" href="classarm__compute_1_1_access_window_rectangle.xhtml#ae89409b4c8b08f06ab694e829223932b">AccessWindowRectangle</a>
 191 </li>
 192 <li>AccessWindowStatic()
 193 : <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a9a7f835520e9f3b19b414f61c4f86f99">AccessWindowStatic</a>
 194 </li>
 195 <li>AccessWindowVertical()
 196 : <a class="el" href="classarm__compute_1_1_access_window_vertical.xhtml#af470e59c429be56a65a66e806816246d">AccessWindowVertical</a>
 197 </li>
 198 <li>accum_conf()
 199 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_squared_validation_fixture.xhtml#ae330fbb92215328f95810cf3dc27ef15">AccumulateSquaredValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
 200 , <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_validation_fixture.xhtml#ae330fbb92215328f95810cf3dc27ef15">AccumulateValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
 201 , <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_weighted_validation_fixture.xhtml#ae330fbb92215328f95810cf3dc27ef15">AccumulateWeightedValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
 202 </li>
 203 <li>accum_ref()
 204 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_squared_validation_fixture.xhtml#a1a747670ecf5dec64dcad7826bdbc0b3">AccumulateSquaredValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
 205 , <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_validation_fixture.xhtml#a1a747670ecf5dec64dcad7826bdbc0b3">AccumulateValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
 206 , <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_weighted_validation_fixture.xhtml#a1a747670ecf5dec64dcad7826bdbc0b3">AccumulateWeightedValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
 207 </li>
 208 <li>acquire()
 209 : <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">BlobMemoryPool</a>
 210 , <a class="el" href="classarm__compute_1_1_i_memory_group.xhtml#accdbc89f54447d25dfc018d38070f4ea">IMemoryGroup</a>
 211 , <a class="el" href="classarm__compute_1_1_i_memory_pool.xhtml#a064f06f20fc565efbb2227aac827c12f">IMemoryPool</a>
 212 , <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#a8d16047fa6fdcf5f5453056cc0e1daba">MemoryGroupBase&lt; TensorType &gt;</a>
 213 , <a class="el" href="classarm__compute_1_1_offset_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">OffsetMemoryPool</a>
 214 </li>
 215 <li>activation()
 216 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">ActivationLayerInfo</a>
 217 </li>
 218 <li>ActivationFunctions()
 219 : <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_activation_functions.xhtml#a2bf52109824b6641431e0f8c5c321a12">ActivationFunctions</a>
 220 </li>
 221 <li>ActivationLayer()
 222 : <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer.xhtml#afac1172e48fcb7c2e806f1629da9624a">ActivationLayer</a>
 223 </li>
 224 <li>ActivationLayerInfo()
 225 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#af56abff12f887fddfa02e0bc18a318a1">ActivationLayerInfo</a>
 226 </li>
 227 <li>add()
 228 : <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a40956c61706d70b8978c2b87ac455d2a">functions</a>
 229 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a9a2cd15d64a87642898d68b060a5afa9">Profiler</a>
 230 , <a class="el" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">TensorCache</a>
 231 </li>
 232 <li>add_1D_array_argument()
 233 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">ICLKernel</a>
 234 </li>
 235 <li>add_1D_tensor_argument()
 236 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">ICLKernel</a>
 237 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">IGCKernel</a>
 238 </li>
 239 <li>add_2D_tensor_argument()
 240 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">ICLKernel</a>
 241 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">IGCKernel</a>
 242 </li>
 243 <li>add_3D_tensor_argument()
 244 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">ICLKernel</a>
 245 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">IGCKernel</a>
 246 </li>
 247 <li>add_4D_tensor_argument()
 248 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">ICLKernel</a>
 249 </li>
 250 <li>add_argument()
 251 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">ICLKernel</a>
 252 </li>
 253 <li>add_array_argument()
 254 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">ICLKernel</a>
 255 </li>
 256 <li>add_config()
 257 : <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">BatchNormalizationLayerDataset</a>
 258 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">ConvolutionLayerDataset</a>
 259 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_depthwise_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">DepthwiseConvolutionLayerDataset</a>
 260 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_depthwise_separable_convolution_layer_dataset.xhtml#a0c595d641ff7e7fd72afb568a8836896">DepthwiseSeparableConvolutionLayerDataset</a>
 261 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_fully_connected_layer_dataset.xhtml#a5446368b6d98e0124488be5698abf97a">FullyConnectedLayerDataset</a>
 262 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_dataset.xhtml#ab94a6efb6054d4272c40b4103e5b94bb">GEMMDataset</a>
 263 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_lowp_dataset.xhtml#ab16ad95c389307713ad907926fa9e848">GEMMLowpDataset</a>
 264 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_pooling_layer_dataset.xhtml#ae48663d611bae13b69e6153198032284">PoolingLayerDataset</a>
 265 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_reshape_layer_dataset.xhtml#a0a5219d7167f51af08582ff68bde23ec">ReshapeLayerDataset</a>
 266 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_r_o_i_pooling_layer_dataset.xhtml#ad5f10da2006744de614f2567a1c643a7">ROIPoolingLayerDataset</a>
 267 , <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_threshold_dataset.xhtml#afe9cd51e0c7935c92b881f3697d62f86">ThresholdDataset</a>
 268 </li>
 269 <li>add_data_test_case()
 270 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#aff39a3b89865624b6579d6980fb88654">Framework</a>
 271 </li>
 272 <li>add_decorator()
 273 : <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#aca0de1bc76119d77831c0b1d58a20f4d">Logger</a>
 274 </li>
 275 <li>add_input()
 276 : <a class="el" href="classarm__compute_1_1graph_1_1_node_context.xhtml#a092fa0a514eef844785e30916a2cf8bd">NodeContext</a>
 277 </li>
 278 <li>add_node()
 279 : <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a38ce1a1fc4dd3131a37225ae95c143ce">Graph</a>
 280 , <a class="el" href="classarm__compute_1_1graph_1_1_sub_graph.xhtml#a38ce1a1fc4dd3131a37225ae95c143ce">SubGraph</a>
 281 </li>
 282 <li>add_operation()
 283 : <a class="el" href="classarm__compute_1_1graph_1_1_operation_registry.xhtml#aad5f9e2a10e4d9a6d13f78862df1d0d5">OperationRegistry</a>
 284 </li>
 285 <li>add_option()
 286 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">CLBuildOptions</a>
 287 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a533951910a8df4f26eac7e534a226c5f">CommandLineParser</a>
 288 </li>
 289 <li>add_option_if()
 290 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">CLBuildOptions</a>
 291 </li>
 292 <li>add_option_if_else()
 293 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a9b58a8c8bf638904a0b5f62b2bfcf96a">CLBuildOptions</a>
 294 </li>
 295 <li>add_options()
 296 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a58abf0792821f6f1d6271570aa27dd84">CLBuildOptions</a>
 297 </li>
 298 <li>add_options_if()
 299 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a504e7a51a86c19f1f529f739f50729f2">CLBuildOptions</a>
 300 </li>
 301 <li>add_output()
 302 : <a class="el" href="classarm__compute_1_1graph_1_1_node_context.xhtml#a93bbbe62b0f94909ba481b02fc785416">NodeContext</a>
 303 </li>
 304 <li>add_parameter()
 305 : <a class="el" href="classarm__compute_1_1graph_1_1_node_context.xhtml#a4b8e8981665590668761d9c3178f4720">NodeContext</a>
 306 </li>
 307 <li>add_positional_option()
 308 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a079cbecac60787502777460ef65491c0">CommandLineParser</a>
 309 </li>
 310 <li>add_printer()
 311 : <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#a1a5b7c4d38c6f9fd1550c62441b69648">Logger</a>
 312 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a5f16ced78873ee3a193490197fbf57a5">Framework</a>
 313 </li>
 314 <li>add_tensor_object()
 315 : <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ab354fb05f2ce43224f098bb3dc7ff42c">Graph</a>
 316 , <a class="el" href="classarm__compute_1_1graph_1_1_sub_graph.xhtml#ab354fb05f2ce43224f098bb3dc7ff42c">SubGraph</a>
 317 </li>
 318 <li>add_test_case()
 319 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ad8e7764125fcd790e0b151d26cfe949c">Framework</a>
 320 </li>
 321 <li>add_test_info()
 322 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ab5eae10e0a4067cff9e87fdcb186eca8">Framework</a>
 323 </li>
 324 <li>adjust()
 325 : <a class="el" href="classarm__compute_1_1_window.xhtml#a69496c7cb46a4101813d7456a6bd097b">Window</a>
 326 </li>
 327 <li>AlexNetActivationLayerDataset()
 328 : <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_activation_layer_dataset.xhtml#a7e7ef32745be0119b6213ad986546d37">AlexNetActivationLayerDataset</a>
 329 </li>
 330 <li>AlexNetConvolutionLayerDataset()
 331 : <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset.xhtml#ac432b94801358a44d8646896fd663172">AlexNetConvolutionLayerDataset</a>
 332 </li>
 333 <li>AlexNetDirectConvolutionLayerDataset()
 334 : <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset.xhtml#afdcf050b66d2142b068ced09e16d8bb6">AlexNetDirectConvolutionLayerDataset</a>
 335 </li>
 336 <li>AlexNetFullyConnectedLayerDataset()
 337 : <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_fully_connected_layer_dataset.xhtml#ad5a2bce30a5e0fe7e51e86fa1a765f74">AlexNetFullyConnectedLayerDataset</a>
 338 </li>
 339 <li>AlexNetNormalizationLayerDataset()
 340 : <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_normalization_layer_dataset.xhtml#a703ee52cdd79f7201ba2b594775a8eb5">AlexNetNormalizationLayerDataset</a>
 341 </li>
 342 <li>AlexNetPoolingLayerDataset()
 343 : <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_pooling_layer_dataset.xhtml#a88a4ddd8886dd11eb1828f2d98b6e40c">AlexNetPoolingLayerDataset</a>
 344 </li>
 345 <li>AlexNetWinogradLayerDataset()
 346 : <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_winograd_layer_dataset.xhtml#a8b6407c4ce8013ec3ab310e1fdf51710">AlexNetWinogradLayerDataset</a>
 347 </li>
 348 <li>allocate()
 349 : <a class="el" href="classarm__compute_1_1_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">Allocator</a>
 350 , <a class="el" href="classarm__compute_1_1_c_l_buffer_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">CLBufferAllocator</a>
 351 , <a class="el" href="classarm__compute_1_1_c_l_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLMultiImage</a>
 352 , <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLPyramid</a>
 353 , <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorAllocator</a>
 354 , <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">GCTensorAllocator</a>
 355 , <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_object.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorObject</a>
 356 , <a class="el" href="classarm__compute_1_1graph_1_1_sub_tensor.xhtml#a6e509c2a177b0b29e9e2369535094dee">SubTensor</a>
 357 , <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a6e509c2a177b0b29e9e2369535094dee">Tensor</a>
 358 , <a class="el" href="classarm__compute_1_1_i_allocator.xhtml#a6ce9dda753afa9abb498f3d6b673e595">IAllocator</a>
 359 , <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator</a>
 360 , <a class="el" href="classarm__compute_1_1_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MultiImage</a>
 361 , <a class="el" href="classarm__compute_1_1_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">Pyramid</a>
 362 , <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">TensorAllocator</a>
 363 , <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>
 364 , <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>
 365 , <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>
 366 , <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>
 367 </li>
 368 <li>allocate_and_fill_if_needed()
 369 : <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#ab910ac6d4f9e75e14584f92d7d8b8c2d">Tensor</a>
 370 </li>
 371 <li>Allocator()
 372 : <a class="el" href="classarm__compute_1_1_allocator.xhtml#a20ec13b471d9434e1c3dd9d93c004e07">Allocator</a>
 373 </li>
 374 <li>allocator()
 375 : <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">CLLut</a>
 376 , <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">CLTensor</a>
 377 , <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">GCTensor</a>
 378 , <a class="el" href="classarm__compute_1_1_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">Lut</a>
 379 , <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor</a>
 380 </li>
 381 <li>alpha()
 382 : <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a4ee7f04c477d0e6a2a3609c24a8815b8">NormalizationLayerInfo</a>
 383 </li>
 384 <li>are_all_finalized()
 385 : <a class="el" href="classarm__compute_1_1_i_lifetime_manager.xhtml#a1bb5a543056e56ff45f413040d316312">ILifetimeManager</a>
 386 , <a class="el" href="classarm__compute_1_1_i_simple_lifetime_manager.xhtml#aa849cbaa03d63911dbbedc830f22943d">ISimpleLifetimeManager</a>
 387 </li>
 388 <li>are_reshaped()
 389 : <a class="el" href="classarm__compute_1_1_weights_info.xhtml#a5bfccf416ebb3979b4dca9a6ff6be5e0">WeightsInfo</a>
 390 </li>
 391 <li>area()
 392 : <a class="el" href="classarm__compute_1_1_size2_d.xhtml#ab220a7dd0ff5c86b4ba8acdf75af3252">Size2D</a>
 393 </li>
 394 <li>Array()
 395 : <a class="el" href="classarm__compute_1_1_array.xhtml#af9474cac29f3177edf5e8d72ea4a440c">Array&lt; T &gt;</a>
 396 </li>
 397 <li>ArrayAccessor()
 398 : <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#aee13ff9244f68f7aa23d2a4d7a26a6ef">ArrayAccessor&lt; T &gt;</a>
 399 </li>
 400 <li>AssetsLibrary()
 401 : <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">AssetsLibrary</a>
 402 </li>
 403 <li>at()
 404 : <a class="el" href="classarm__compute_1_1_i_array.xhtml#a861d8aa0fbeb6a0a33ec8d556b7e8657">IArray&lt; T &gt;</a>
 405 , <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">ArrayAccessor&lt; T &gt;</a>
 406 , <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">CLArrayAccessor&lt; T &gt;</a>
 407 , <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#ad1d196a1f89d9889461e6920b92d4db5">IArrayAccessor&lt; T &gt;</a>
 408 </li>
 409 <li>auto_padding()
 410 : <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">ITensorInfo</a>
 411 , <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">SubTensorInfo</a>
 412 , <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">TensorInfo</a>
 413 </li>
 414 <li>available_instruments()
 415 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a19a641ac841ecb3f867a75b374b36f61">Framework</a>
 416 </li>
 417 </ul>
 418 </div><!-- contents -->
 419 </div><!-- doc-content -->
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 423     <li class="footer">Generated on Thu Dec 14 2017 23:48:39 for Compute Library by
 424     <a href="http://www.doxygen.org/index.html">
 425     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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