documentation/functions_func.xhtml

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  42    <div id="projectname">Compute Library
  43    &#160;<span id="projectnumber">v17.06</span>
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  82       <li><a href="annotated.xhtml"><span>Data&#160;Structures</span></a></li>
  83       <li><a href="classes.xhtml"><span>Data&#160;Structure&#160;Index</span></a></li>
  84       <li><a href="inherits.xhtml"><span>Class&#160;Hierarchy</span></a></li>
  85       <li class="current"><a href="functions.xhtml"><span>Data&#160;Fields</span></a></li>
  86     </ul>
  87   </div>
  88   <div id="navrow3" class="tabs2">
  89     <ul class="tablist">
  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>
  93       <li><a href="functions_type.xhtml"><span>Typedefs</span></a></li>
  94       <li><a href="functions_enum.xhtml"><span>Enumerations</span></a></li>
  95       <li><a href="functions_eval.xhtml"><span>Enumerator</span></a></li>
  96       <li><a href="functions_rela.xhtml"><span>Related&#160;Functions</span></a></li>
  97     </ul>
  98   </div>
  99   <div id="navrow4" class="tabs3">
 100     <ul class="tablist">
 101       <li class="current"><a href="functions_func.xhtml#index_a"><span>a</span></a></li>
 102       <li><a href="functions_func_b.xhtml#index_b"><span>b</span></a></li>
 103       <li><a href="functions_func_c.xhtml#index_c"><span>c</span></a></li>
 104       <li><a href="functions_func_d.xhtml#index_d"><span>d</span></a></li>
 105       <li><a href="functions_func_e.xhtml#index_e"><span>e</span></a></li>
 106       <li><a href="functions_func_f.xhtml#index_f"><span>f</span></a></li>
 107       <li><a href="functions_func_g.xhtml#index_g"><span>g</span></a></li>
 108       <li><a href="functions_func_h.xhtml#index_h"><span>h</span></a></li>
 109       <li><a href="functions_func_i.xhtml#index_i"><span>i</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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 157
 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>absolute_difference()
 169 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a15536b2ec56dc51d7dc9ac09bd6a5d76">ReferenceCPP</a>
 170 </li>
 171 <li>AccessWindowAutoPadding()
 172 : <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#a55ae8ac3b55093b24fe30805828de164">AccessWindowAutoPadding</a>
 173 </li>
 174 <li>AccessWindowHorizontal()
 175 : <a class="el" href="classarm__compute_1_1_access_window_horizontal.xhtml#ae44d5d1d474ac5fa01159d24f7318f7f">AccessWindowHorizontal</a>
 176 </li>
 177 <li>AccessWindowRectangle()
 178 : <a class="el" href="classarm__compute_1_1_access_window_rectangle.xhtml#ae89409b4c8b08f06ab694e829223932b">AccessWindowRectangle</a>
 179 </li>
 180 <li>AccessWindowStatic()
 181 : <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a9a7f835520e9f3b19b414f61c4f86f99">AccessWindowStatic</a>
 182 </li>
 183 <li>AccessWindowVertical()
 184 : <a class="el" href="classarm__compute_1_1_access_window_vertical.xhtml#af470e59c429be56a65a66e806816246d">AccessWindowVertical</a>
 185 </li>
 186 <li>accumulate()
 187 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a0aa8da1953b7cb44b1b75aec737adb48">ReferenceCPP</a>
 188 </li>
 189 <li>accumulate_squared()
 190 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a0dec321c30d2695ac8f9c20e8928543a">ReferenceCPP</a>
 191 </li>
 192 <li>accumulate_weighted()
 193 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a110ef9b03fb51be2f000391a300d1a2a">ReferenceCPP</a>
 194 </li>
 195 <li>activation()
 196 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">ActivationLayerInfo</a>
 197 </li>
 198 <li>activation_layer()
 199 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a56c0f65e0e83ad40fe5ec3abfd16d7b9">ReferenceCPP</a>
 200 </li>
 201 <li>activation_layer_visitor()
 202 : <a class="el" href="structarm__compute_1_1test_1_1validation_1_1tensor__visitors_1_1activation__layer__visitor.xhtml#af3aa3af523567ddde49a2e972e009e41">activation_layer_visitor</a>
 203 </li>
 204 <li>ActivationFunctions()
 205 : <a class="el" href="classarm__compute_1_1test_1_1_activation_functions.xhtml#a2bf52109824b6641431e0f8c5c321a12">ActivationFunctions</a>
 206 </li>
 207 <li>ActivationLayerInfo()
 208 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#af56abff12f887fddfa02e0bc18a318a1">ActivationLayerInfo</a>
 209 </li>
 210 <li>add()
 211 : <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_profiler.xhtml#afb11c32e4053f95d69d90aa4c9ee4cf9">Profiler</a>
 212 , <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a40956c61706d70b8978c2b87ac455d2a">functions</a>
 213 , <a class="el" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">TensorCache</a>
 214 </li>
 215 <li>add_1D_tensor_argument()
 216 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">ICLKernel</a>
 217 </li>
 218 <li>add_2D_tensor_argument()
 219 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">ICLKernel</a>
 220 </li>
 221 <li>add_3D_tensor_argument()
 222 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">ICLKernel</a>
 223 </li>
 224 <li>add_argument()
 225 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">ICLKernel</a>
 226 </li>
 227 <li>adjust()
 228 : <a class="el" href="classarm__compute_1_1_window.xhtml#a69496c7cb46a4101813d7456a6bd097b">Window</a>
 229 </li>
 230 <li>AlexNet()
 231 : <a class="el" href="classarm__compute_1_1test_1_1model__objects_1_1_alex_net.xhtml#a38a530655b80667542e46842c3ed8989">AlexNet&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction, dt, fixed_point_position &gt;</a>
 232 </li>
 233 <li>AlexNetActivationLayerDataset()
 234 : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_activation_layer_dataset.xhtml#a7e7ef32745be0119b6213ad986546d37">AlexNetActivationLayerDataset</a>
 235 </li>
 236 <li>AlexNetConvolutionLayerDataset()
 237 : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_convolution_layer_dataset.xhtml#ac432b94801358a44d8646896fd663172">AlexNetConvolutionLayerDataset</a>
 238 </li>
 239 <li>AlexNetFullyConnectedLayerDataset()
 240 : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_fully_connected_layer_dataset.xhtml#ad5a2bce30a5e0fe7e51e86fa1a765f74">AlexNetFullyConnectedLayerDataset</a>
 241 </li>
 242 <li>AlexNetNormalizationLayerDataset()
 243 : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml#a703ee52cdd79f7201ba2b594775a8eb5">AlexNetNormalizationLayerDataset</a>
 244 </li>
 245 <li>AlexNetPoolingLayerDataset()
 246 : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_pooling_layer_dataset.xhtml#a88a4ddd8886dd11eb1828f2d98b6e40c">AlexNetPoolingLayerDataset</a>
 247 </li>
 248 <li>AllDataTypes()
 249 : <a class="el" href="classarm__compute_1_1test_1_1_all_data_types.xhtml#a66474cb52ac8a3af76cea1e305afec6c">AllDataTypes</a>
 250 </li>
 251 <li>allocate()
 252 : <a class="el" href="classarm__compute_1_1_c_l_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLMultiImage</a>
 253 , <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLPyramid</a>
 254 , <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorAllocator</a>
 255 , <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator</a>
 256 , <a class="el" href="classarm__compute_1_1_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MultiImage</a>
 257 , <a class="el" href="classarm__compute_1_1_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">Pyramid</a>
 258 , <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">TensorAllocator</a>
 259 , <a class="el" href="classarm__compute_1_1test_1_1model__objects_1_1_alex_net.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">AlexNet&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction, dt, fixed_point_position &gt;</a>
 260 </li>
 261 <li>allocator()
 262 : <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">CLLut</a>
 263 , <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">CLTensor</a>
 264 , <a class="el" href="classarm__compute_1_1_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">Lut</a>
 265 , <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor</a>
 266 </li>
 267 <li>alpha()
 268 : <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a4ee7f04c477d0e6a2a3609c24a8815b8">NormalizationLayerInfo</a>
 269 </li>
 270 <li>are_reshaped()
 271 : <a class="el" href="classarm__compute_1_1_weights_info.xhtml#a5bfccf416ebb3979b4dca9a6ff6be5e0">WeightsInfo</a>
 272 </li>
 273 <li>area()
 274 : <a class="el" href="classarm__compute_1_1_size2_d.xhtml#ab220a7dd0ff5c86b4ba8acdf75af3252">Size2D</a>
 275 </li>
 276 <li>arithmetic_addition()
 277 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#ae87f25d124d6c66c839ac929702aee11">ReferenceCPP</a>
 278 </li>
 279 <li>arithmetic_addition_visitor()
 280 : <a class="el" href="structarm__compute_1_1test_1_1validation_1_1tensor__visitors_1_1arithmetic__addition__visitor.xhtml#adcc8209ec4c8324f86e4e83feacb7515">arithmetic_addition_visitor</a>
 281 </li>
 282 <li>arithmetic_subtraction()
 283 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#ab09b1a280817a388ed7bed899088ba0b">ReferenceCPP</a>
 284 </li>
 285 <li>arithmetic_subtraction_visitor()
 286 : <a class="el" href="structarm__compute_1_1test_1_1validation_1_1tensor__visitors_1_1arithmetic__subtraction__visitor.xhtml#a56db7a03357ceaa165c86fa20aae5b85">arithmetic_subtraction_visitor</a>
 287 </li>
 288 <li>Array()
 289 : <a class="el" href="classarm__compute_1_1_array.xhtml#af9474cac29f3177edf5e8d72ea4a440c">Array&lt; T &gt;</a>
 290 </li>
 291 <li>at()
 292 : <a class="el" href="classarm__compute_1_1_i_array.xhtml#a861d8aa0fbeb6a0a33ec8d556b7e8657">IArray&lt; T &gt;</a>
 293 </li>
 294 <li>auto_padding()
 295 : <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">ITensorInfo</a>
 296 , <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">SubTensorInfo</a>
 297 , <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">TensorInfo</a>
 298 </li>
 299 </ul>
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 307     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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