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gerrit-public.fairphone.software / platform / external / ComputeLibrary / 8938bd3f40ea62ff56d6ed4e2db0a8aee34dd64a / . / documentation / functions_func_~.xhtml
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82 <li><a href="inherits.xhtml"><span>Class&#160;Hierarchy</span></a></li>
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90 <li><a href="functions_vars.xhtml"><span>Variables</span></a></li>
91 <li><a href="functions_type.xhtml"><span>Typedefs</span></a></li>
92 <li><a href="functions_enum.xhtml"><span>Enumerations</span></a></li>
93 <li><a href="functions_eval.xhtml"><span>Enumerator</span></a></li>
94 <li><a href="functions_rela.xhtml"><span>Related&#160;Functions</span></a></li>
95 </ul>
96 </div>
97 <div id="navrow4" class="tabs3">
98 <ul class="tablist">
99 <li><a href="functions_func.xhtml#index_a"><span>a</span></a></li>
100 <li><a href="functions_func_b.xhtml#index_b"><span>b</span></a></li>
101 <li><a href="functions_func_c.xhtml#index_c"><span>c</span></a></li>
102 <li><a href="functions_func_d.xhtml#index_d"><span>d</span></a></li>
103 <li><a href="functions_func_e.xhtml#index_e"><span>e</span></a></li>
104 <li><a href="functions_func_f.xhtml#index_f"><span>f</span></a></li>
105 <li><a href="functions_func_g.xhtml#index_g"><span>g</span></a></li>
106 <li><a href="functions_func_h.xhtml#index_h"><span>h</span></a></li>
107 <li><a href="functions_func_i.xhtml#index_i"><span>i</span></a></li>
108 <li><a href="functions_func_j.xhtml#index_j"><span>j</span></a></li>
109 <li><a href="functions_func_k.xhtml#index_k"><span>k</span></a></li>
110 <li><a href="functions_func_l.xhtml#index_l"><span>l</span></a></li>
111 <li><a href="functions_func_m.xhtml#index_m"><span>m</span></a></li>
112 <li><a href="functions_func_n.xhtml#index_n"><span>n</span></a></li>
113 <li><a href="functions_func_o.xhtml#index_o"><span>o</span></a></li>
114 <li><a href="functions_func_p.xhtml#index_p"><span>p</span></a></li>
115 <li><a href="functions_func_q.xhtml#index_q"><span>q</span></a></li>
116 <li><a href="functions_func_r.xhtml#index_r"><span>r</span></a></li>
117 <li><a href="functions_func_s.xhtml#index_s"><span>s</span></a></li>
118 <li><a href="functions_func_t.xhtml#index_t"><span>t</span></a></li>
119 <li><a href="functions_func_u.xhtml#index_u"><span>u</span></a></li>
120 <li><a href="functions_func_v.xhtml#index_v"><span>v</span></a></li>
121 <li><a href="functions_func_w.xhtml#index_w"><span>w</span></a></li>
122 <li><a href="functions_func_x.xhtml#index_x"><span>x</span></a></li>
123 <li><a href="functions_func_y.xhtml#index_y"><span>y</span></a></li>
124 <li><a href="functions_func_z.xhtml#index_z"><span>z</span></a></li>
125 <li class="current"><a href="functions_func_~.xhtml#index_~"><span>~</span></a></li>
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156
157<div class="contents">
158&#160;
159
160<h3><a class="anchor" id="index_~"></a>- ~ -</h3><ul>
161<li>~AccessWindowAutoPadding()
162: <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#a129a10edb6f1ecc24810945981a7e50e">AccessWindowAutoPadding</a>
163</li>
164<li>~AccessWindowRectangle()
165: <a class="el" href="classarm__compute_1_1_access_window_rectangle.xhtml#a32733393d362ac5cd19a588bb248e5c6">AccessWindowRectangle</a>
166</li>
167<li>~AccessWindowStatic()
168: <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a657392da3805fde373c0cef557739d08">AccessWindowStatic</a>
169</li>
170<li>~AlexNetActivationLayerDataset()
171: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_activation_layer_dataset.xhtml#a5b76cec586279603bda733245d9d9ab4">AlexNetActivationLayerDataset</a>
172</li>
173<li>~AlexNetNormalizationLayerDataset()
174: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_normalization_layer_dataset.xhtml#ad41a252238157b2dea193ff007b48884">AlexNetNormalizationLayerDataset</a>
175</li>
176<li>~BlobMemoryPool()
177: <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#a2e429f60410f02b72c74cae123aca669">BlobMemoryPool</a>
178</li>
179<li>~CLAbsoluteDifferenceKernel()
180: <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aea6992684b565a3656dae7216a3be2d4">CLAbsoluteDifferenceKernel</a>
181</li>
182<li>~CLAccessor()
183: <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">CLAccessor</a>
184</li>
185<li>~CLActivationLayerKernel()
186: <a class="el" href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a181f365021a9a09d59233ba388d34e04">CLActivationLayerKernel</a>
187</li>
188<li>~CLArithmeticAdditionKernel()
189: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a7963f0e83a9b2ccc626701d97a89e76a">CLArithmeticAdditionKernel</a>
190</li>
191<li>~CLArithmeticSubtractionKernel()
192: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a582c6993688f726a39586d3d3c6352a6">CLArithmeticSubtractionKernel</a>
193</li>
194<li>~CLArrayAccessor()
195: <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a2a37710fa81773bdbf719162c10f2309">CLArrayAccessor&lt; T &gt;</a>
196</li>
197<li>~CLBatchNormalizationLayerKernel()
198: <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#aafb7a9f7e113cbb1f93dd030a4994b4a">CLBatchNormalizationLayerKernel</a>
199</li>
200<li>~CLChannelCombineKernel()
201: <a class="el" href="classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#aaab19adbe7aed0d2f1aa5a7bcb5edb64">CLChannelCombineKernel</a>
202</li>
203<li>~CLChannelExtractKernel()
204: <a class="el" href="classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a27ad648b664e45d4c571487543160bfb">CLChannelExtractKernel</a>
205</li>
206<li>~CLCol2ImKernel()
207: <a class="el" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a4551e8f874d80a480ba0e5f6ad1d256e">CLCol2ImKernel</a>
208</li>
209<li>~CLColorConvertKernel()
210: <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a96d19d01c4797e1b38105b73613c46d0">CLColorConvertKernel</a>
211</li>
212<li>~CLCopyToArrayKernel()
213: <a class="el" href="classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a7fa1d109f0c6d72521e336fd3955cee9">CLCopyToArrayKernel</a>
214</li>
215<li>~CLDepthConcatenateKernel()
216: <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_kernel.xhtml#a88ec361931b563961b73a6295030a60f">CLDepthConcatenateKernel</a>
217</li>
218<li>~CLDequantizationLayerKernel()
219: <a class="el" href="classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#ad739052d31399013f0cf01b376c442cc">CLDequantizationLayerKernel</a>
220</li>
221<li>~CLDerivativeKernel()
222: <a class="el" href="classarm__compute_1_1_c_l_derivative_kernel.xhtml#a83d38310c15f7b92264b5403ddd0bbda">CLDerivativeKernel</a>
223</li>
224<li>~CLDirectConvolutionLayerKernel()
225: <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a050c832adce3b274f8daacedd0558dc8">CLDirectConvolutionLayerKernel</a>
226</li>
227<li>~CLFastCornersKernel()
228: <a class="el" href="classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a2b06599adac42d0aa917573716356999">CLFastCornersKernel</a>
229</li>
230<li>~CLFillBorderKernel()
231: <a class="el" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ad22d0bc4356a4068c244952df68fd5c7">CLFillBorderKernel</a>
232</li>
233<li>~CLFloorKernel()
234: <a class="el" href="classarm__compute_1_1_c_l_floor_kernel.xhtml#ad28ea1ad696bf40c73bb4a5e56a17cb2">CLFloorKernel</a>
235</li>
236<li>~CLGaussianPyramid()
237: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#afafbe10da580ab0f3105947cb4a383ac">CLGaussianPyramid</a>
238</li>
239<li>~CLGaussianPyramidHorKernel()
240: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#aff3525c5fcfeb85912814c1bbbaf0835">CLGaussianPyramidHorKernel</a>
241</li>
242<li>~CLGaussianPyramidVertKernel()
243: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#abc1512876a55b624d62f83b64efde7dd">CLGaussianPyramidVertKernel</a>
244</li>
245<li>~CLHarrisScoreKernel()
246: <a class="el" href="classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a2f0d90733f4575c7aca61716a655537e">CLHarrisScoreKernel</a>
247</li>
248<li>~CLHOGBlockNormalizationKernel()
249: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a0325a66cc953500b923a173c049f19ef">CLHOGBlockNormalizationKernel</a>
250</li>
251<li>~CLHOGDetector()
252: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_detector.xhtml#a0afb7ef9fbe6f4711284df081a88779b">CLHOGDetector</a>
253</li>
254<li>~CLHOGDetectorKernel()
255: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#a783ce2295ff8e64e4dd3d0ebaa54ed69">CLHOGDetectorKernel</a>
256</li>
257<li>~CLHOGOrientationBinningKernel()
258: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a71fb71d3440ccf4fbdf912c42ef18614">CLHOGOrientationBinningKernel</a>
259</li>
260<li>~CLL2NormalizeKernel()
261: <a class="el" href="classarm__compute_1_1_c_l_l2_normalize_kernel.xhtml#a9e45a34f948427c926d1715b416e118c">CLL2NormalizeKernel</a>
262</li>
263<li>~CLLutAccessor()
264: <a class="el" href="classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a70063924813908ff8ddb81868c3aaab8">CLLutAccessor&lt; T &gt;</a>
265</li>
266<li>~CLLutAllocator()
267: <a class="el" href="classarm__compute_1_1_c_l_lut_allocator.xhtml#a864b976ba255c0cd2e1e2a848c89f4a3">CLLutAllocator</a>
268</li>
269<li>~CLPoolingLayerKernel()
270: <a class="el" href="classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#afcd410341247696c0569a1499407c39b">CLPoolingLayerKernel</a>
271</li>
272<li>~CLQuantizationLayerKernel()
273: <a class="el" href="classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a161b70654b73f6ea4a849244037e44f2">CLQuantizationLayerKernel</a>
274</li>
275<li>~CLReductionOperationKernel()
276: <a class="el" href="classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a41897f3ac6bba4829bc4d7e6e8966522">CLReductionOperationKernel</a>
277</li>
278<li>~CLReshapeLayerKernel()
279: <a class="el" href="classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a58e8ad2f936f30f8b9338f2fadc3a869">CLReshapeLayerKernel</a>
280</li>
281<li>~CLROIPoolingLayerKernel()
282: <a class="el" href="classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a53d9dab24d8a807311da1f9f1982bf5b">CLROIPoolingLayerKernel</a>
283</li>
284<li>~CLSobel3x3Kernel()
285: <a class="el" href="classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a95501c3f5d09ada6ea151f08fff6d120">CLSobel3x3Kernel</a>
286</li>
287<li>~CLSobel5x5HorKernel()
288: <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a6c123393267557301f2549114112d414">CLSobel5x5HorKernel</a>
289</li>
290<li>~CLSobel5x5VertKernel()
291: <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#ad88337f2cf8d90a2a9106d80c3807873">CLSobel5x5VertKernel</a>
292</li>
293<li>~CLSobel7x7HorKernel()
294: <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#aedbb8258b41802dfffc61690f890bd1b">CLSobel7x7HorKernel</a>
295</li>
296<li>~CLSobel7x7VertKernel()
297: <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#ad22bc492781a9536130d81344e26b1b7">CLSobel7x7VertKernel</a>
298</li>
299<li>~CLSubTensor()
300: <a class="el" href="classarm__compute_1_1_c_l_sub_tensor.xhtml#a3f3d38e602db0a6af8ac5e932d798617">CLSubTensor</a>
301</li>
302<li>~CLTensorAllocator()
303: <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#ae19b319fe4b1ddecacd35d45d9c4aa9b">CLTensorAllocator</a>
304</li>
305<li>~CLTuner()
306: <a class="el" href="classarm__compute_1_1_c_l_tuner.xhtml#a577ac5b9d244bdf031905faaf08b968c">CLTuner</a>
307</li>
308<li>~CLWeightsReshapeKernel()
309: <a class="el" href="classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#aa453358063eaac09ae587e87aacff69a">CLWeightsReshapeKernel</a>
310</li>
311<li>~Coordinates()
312: <a class="el" href="classarm__compute_1_1_coordinates.xhtml#a71e1d115c447afe4c2ee05f3541be118">Coordinates</a>
313</li>
314<li>~CPPCornerCandidatesKernel()
315: <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a208c06a1b38f317679a9d5658020d907">CPPCornerCandidatesKernel</a>
316</li>
317<li>~GemmCommon()
318: <a class="el" href="class_gemm_common.xhtml#a431c4e53fa05a1e8ba127441e8baeed2">GemmCommon&lt; To, Tr &gt;</a>
319</li>
320<li>~GoogLeNetInceptionV1ActivationLayerDataset()
321: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_activation_layer_dataset.xhtml#a178b2a2d25386281fa6378f108a48f9a">GoogLeNetInceptionV1ActivationLayerDataset</a>
322</li>
323<li>~GoogLeNetInceptionV1NormalizationLayerDataset()
324: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_normalization_layer_dataset.xhtml#ad518d7cd69f6236083f72ad03295cba9">GoogLeNetInceptionV1NormalizationLayerDataset</a>
325</li>
326<li>~GoogLeNetInceptionV4ActivationLayerDataset()
327: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_activation_layer_dataset.xhtml#a0a118e1fd6fe3d2742dcdc528b5a6799">GoogLeNetInceptionV4ActivationLayerDataset</a>
328</li>
329<li>~Graph()
330: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#af5a604e5e9e4d68dbc10b312e59f678f">Graph</a>
331</li>
332<li>~HOGInfo()
333: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#ada121d63992678a09e1b3db5a2002bfa">HOGInfo</a>
334</li>
335<li>~IAccessor()
336: <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a04e5197de7318cec1ebfd3cea50f5de5">IAccessor</a>
337</li>
338<li>~IAccessWindow()
339: <a class="el" href="classarm__compute_1_1_i_access_window.xhtml#abc3996ab36cfa27811d661debfca5b5f">IAccessWindow</a>
340</li>
341<li>~IAllocator()
342: <a class="el" href="classarm__compute_1_1_i_allocator.xhtml#a961a3c35d2c2652499f722ea14775122">IAllocator</a>
343</li>
344<li>~IArray()
345: <a class="el" href="classarm__compute_1_1_i_array.xhtml#acaeb87c4bcccaf15bb25bd2c8e44658a">IArray&lt; T &gt;</a>
346</li>
347<li>~IArrayAccessor()
348: <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#aab5e9c61ab48807226cd3187db35c9ba">IArrayAccessor&lt; T &gt;</a>
349</li>
350<li>~ICLArray()
351: <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml#a0c95f444049eea7c7d14f6fd57ef40a1">ICLArray&lt; T &gt;</a>
352</li>
353<li>~ICLHOG()
354: <a class="el" href="classarm__compute_1_1_i_c_l_h_o_g.xhtml#a4f666198e882c54ee00dd2d7c5407df2">ICLHOG</a>
355</li>
356<li>~ICLSimpleKernel()
357: <a class="el" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a0038fc9fcfaba0b247991f74395ef0fa">ICLSimpleKernel</a>
358</li>
359<li>~ICLTensor()
360: <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml#aa0bce17c5cd01f2b45cc59afd615913e">ICLTensor</a>
361</li>
362<li>~ICLTuner()
363: <a class="el" href="classarm__compute_1_1_i_c_l_tuner.xhtml#a7103799fdecd6abca8fc84efebb3653f">ICLTuner</a>
364</li>
365<li>~ICPPKernel()
366: <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">ICPPKernel</a>
367</li>
368<li>~ICPPSimpleKernel()
369: <a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a819c40bc2449e5c47178bb34680256b8">ICPPSimpleKernel</a>
370</li>
371<li>~IDistribution()
372: <a class="el" href="classarm__compute_1_1_i_distribution.xhtml#a9ee18d758810dbcfb1c9717956f51c38">IDistribution</a>
373</li>
374<li>~IFunction()
375: <a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">IFunction</a>
376</li>
377<li>~IHOG()
378: <a class="el" href="classarm__compute_1_1_i_h_o_g.xhtml#a758ea1a393875c05d2c869ddeefd0dd6">IHOG</a>
379</li>
380<li>~IKernel()
381: <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">IKernel</a>
382</li>
383<li>~ILifetimeManager()
384: <a class="el" href="classarm__compute_1_1_i_lifetime_manager.xhtml#ac6e5bab9415fdb1e8c4ad0d4d70227e9">ILifetimeManager</a>
385</li>
386<li>~ILut()
387: <a class="el" href="classarm__compute_1_1_i_lut.xhtml#ab90dd1556851ce4b6b1529dfb9107f68">ILut</a>
388</li>
389<li>~ILutAccessor()
390: <a class="el" href="classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#aadfb51f4d2d50a259ae739bdd71f91fd">ILutAccessor&lt; T &gt;</a>
391</li>
392<li>~ILutAllocator()
393: <a class="el" href="classarm__compute_1_1_i_lut_allocator.xhtml#a9c34313e5cddaebce855b939e42efc32">ILutAllocator</a>
394</li>
395<li>~IMemoryGroup()
396: <a class="el" href="classarm__compute_1_1_i_memory_group.xhtml#a9bd7b2a6304e2332de8a1fcfefb0111e">IMemoryGroup</a>
397</li>
398<li>~IMemoryManager()
399: <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml#ae63a106826a5a9104a39b0faa9558bf5">IMemoryManager</a>
400</li>
401<li>~IMemoryPool()
402: <a class="el" href="classarm__compute_1_1_i_memory_pool.xhtml#a81f863b710d9f96cc867a0755be73ab0">IMemoryPool</a>
403</li>
404<li>~IMultiHOG()
405: <a class="el" href="classarm__compute_1_1_i_multi_h_o_g.xhtml#a6698fe6d38d2bb18553ae37a5d1aa42c">IMultiHOG</a>
406</li>
407<li>~IMultiImage()
408: <a class="el" href="classarm__compute_1_1_i_multi_image.xhtml#a52c8ee0f7ff87c20c213bf2860729ea0">IMultiImage</a>
409</li>
410<li>~INEHarrisScoreKernel()
411: <a class="el" href="classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#af74d3413c9011d560c8a572037f4df9b">INEHarrisScoreKernel</a>
412</li>
413<li>~INode()
414: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1356f0d04912be3ec8d8ce7a2b0cddd2">INode</a>
415</li>
416<li>~Instrument()
417: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a7bd8541cf37e6c439d4a6bf7296437a2">Instrument</a>
418</li>
419<li>~IPoolManager()
420: <a class="el" href="classarm__compute_1_1_i_pool_manager.xhtml#a772884b3ff6b2c22444ba13616d9d13a">IPoolManager</a>
421</li>
422<li>~IPyramid()
423: <a class="el" href="classarm__compute_1_1_i_pyramid.xhtml#a2925d59af502d059fcb2326a6ada7867">IPyramid</a>
424</li>
425<li>~IScheduler()
426: <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a6d209385481644d97e7ca96072b73eb8">IScheduler</a>
427</li>
428<li>~ITensor()
429: <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a4aa2df36743089ac6814d83e7d4b7ffc">ITensor</a>
430</li>
431<li>~ITensorAccessor()
432: <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a3c7f21c2eb00ab7ae1c18b1418c0d9c6">ITensorAccessor</a>
433</li>
434<li>~ITensorAllocator()
435: <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#a8378fc6c887231765b885f8033c7bb99">ITensorAllocator</a>
436</li>
437<li>~ITensorInfo()
438: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad998b50febf68540277e121a9c670bfa">ITensorInfo</a>
439</li>
440<li>~iterator()
441: <a class="el" href="structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#ab463e487fae62fb9336eb1108cb3f38b">CartesianProductDataset&lt; T, U &gt;::iterator</a>
442, <a class="el" href="structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#ab463e487fae62fb9336eb1108cb3f38b">SingletonDataset&lt; T &gt;::iterator</a>
443</li>
444<li>~LeNet5ActivationLayerDataset()
445: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_activation_layer_dataset.xhtml#a19ab0221be71e7ce6013048e9df658a2">LeNet5ActivationLayerDataset</a>
446</li>
447<li>~MaliCounter()
448: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a87ac9e6ba4855e29fc0f94dc2765daf7">MaliCounter</a>
449</li>
450<li>~MemoryGroupBase()
451: <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#afa4d42fbf7f8e750b0b06994bcdf138c">MemoryGroupBase&lt; typename &gt;</a>
452</li>
453<li>~NEAbsoluteDifferenceKernel()
454: <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a8f920e3071a96d1cb1bf77dabced479e">NEAbsoluteDifferenceKernel</a>
455</li>
456<li>~NEArithmeticAdditionKernel()
457: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a9a168f182be423014aa67a334323dfd8">NEArithmeticAdditionKernel</a>
458</li>
459<li>~NEArithmeticSubtractionKernel()
460: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#aeb20f5092b85fd6c9a4deb6e59de7c03">NEArithmeticSubtractionKernel</a>
461</li>
462<li>~NEBatchNormalizationLayerKernel()
463: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a5d323c6ced8450d0d3d76f5f58952a72">NEBatchNormalizationLayerKernel</a>
464</li>
465<li>~NEChannelCombineKernel()
466: <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a3b991bc19cdd8e7fb06de869a43c7799">NEChannelCombineKernel</a>
467</li>
468<li>~NEChannelExtractKernel()
469: <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a34e1049bf124f489f14b86b8a8852597">NEChannelExtractKernel</a>
470</li>
471<li>~NECol2ImKernel()
472: <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a4a5859db6d2635061ce55c1ddfdc734b">NECol2ImKernel</a>
473</li>
474<li>~NEColorConvertKernel()
475: <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a0debe4186682c7d37935e3284dae5c09">NEColorConvertKernel</a>
476</li>
477<li>~NEDepthConcatenateKernel()
478: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_kernel.xhtml#a98364fa112ac505c1b5f9abccd11051f">NEDepthConcatenateKernel</a>
479</li>
480<li>~NEDequantizationLayerKernel()
481: <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a59cad833a05971a46a8426a7456f96dd">NEDequantizationLayerKernel</a>
482</li>
483<li>~NEDirectConvolutionLayerBiasAccumulateKernel()
484: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_bias_accumulate_kernel.xhtml#a0122bbcf061f48771f9513fdbfd50131">NEDirectConvolutionLayerBiasAccumulateKernel</a>
485</li>
486<li>~NEDirectConvolutionLayerKernel()
487: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a59e6b01f2562366f54106175432079a0">NEDirectConvolutionLayerKernel</a>
488</li>
489<li>~NEEdgeNonMaxSuppressionKernel()
490: <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a78bad28117e1cbaaaf02a131a1a1400f">NEEdgeNonMaxSuppressionKernel</a>
491</li>
492<li>~NEEdgeTraceKernel()
493: <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a63a533746b32a68c6ab1610c3a4823e6">NEEdgeTraceKernel</a>
494</li>
495<li>~NEFillArrayKernel()
496: <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a1885e2bee760c881e4d8bc5747bb3200">NEFillArrayKernel</a>
497</li>
498<li>~NEFillBorderKernel()
499: <a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ac68288caf6a7f15d12519e1a12161983">NEFillBorderKernel</a>
500</li>
501<li>~NEFillInnerBorderKernel()
502: <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a2a4252d6ad42d3828955547d4dce0c21">NEFillInnerBorderKernel</a>
503</li>
504<li>~NEGaussianPyramid()
505: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#af34c199e11afef4c68af773a9fd40150">NEGaussianPyramid</a>
506</li>
507<li>~NEGaussianPyramidHorKernel()
508: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#aa5030ad8be9a77dadfd6bca436fd16ad">NEGaussianPyramidHorKernel</a>
509</li>
510<li>~NEGaussianPyramidVertKernel()
511: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a335e126153ef3b664bf56c3e8ad143de">NEGaussianPyramidVertKernel</a>
512</li>
513<li>~NEGEMMAssemblyBaseKernel()
514: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ad96826abb992a84e363bef7624a30f9b">NEGEMMAssemblyBaseKernel</a>
515</li>
516<li>~NEGEMMMatrixAccumulateBiasesKernel()
517: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#af26cd032cee8d8d035b8d5e52422f397">NEGEMMMatrixAccumulateBiasesKernel</a>
518</li>
519<li>~NEGradientKernel()
520: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#aec72e1144d2cb538834aa369232de727">NEGradientKernel</a>
521</li>
522<li>~NEHistogramKernel()
523: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a4983480fbaa765aea4052cf5c28bf60e">NEHistogramKernel</a>
524</li>
525<li>~NEHOGBlockNormalizationKernel()
526: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a868e84205d6f33fc9bc1a24834752839">NEHOGBlockNormalizationKernel</a>
527</li>
528<li>~NEHOGDetectorKernel()
529: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ac8fd84865e94c9be09c574eb9abdfde6">NEHOGDetectorKernel</a>
530</li>
531<li>~NEHOGOrientationBinningKernel()
532: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a369c98c8c9f95122e658eed5f1a55491">NEHOGOrientationBinningKernel</a>
533</li>
534<li>~NEIm2ColKernel()
535: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#acaa705664e19820e28eb86f7737a98ba">NEIm2ColKernel</a>
536</li>
537<li>~NEL2NormalizeKernel()
538: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_kernel.xhtml#a0f71c9fd68728516c453a941ad8fc5ab">NEL2NormalizeKernel</a>
539</li>
540<li>~NELKTrackerKernel()
541: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab32b5b543a39437043fd3e6df25ec574">NELKTrackerKernel</a>
542</li>
543<li>~NELogits1DNormKernel()
544: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a1a9bde295eb0b6174872ebc9477a9b4d">NELogits1DNormKernel</a>
545</li>
546<li>~NELogits1DShiftExpSumKernel()
547: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a095126899a98519c75faf03ec9fa5762">NELogits1DShiftExpSumKernel</a>
548</li>
549<li>~NEMagnitudePhaseFP16Kernel()
550: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_f_p16_kernel.xhtml#ad0c0a6e7ff2041d8c7d2eba5261c3e84">NEMagnitudePhaseFP16Kernel&lt; mag_type, phase_type &gt;</a>
551</li>
552<li>~NEMagnitudePhaseKernel()
553: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a1bd4859d9eadb11c47c40235e2b4d044">NEMagnitudePhaseKernel&lt; mag_type, phase_type &gt;</a>
554</li>
555<li>~NEMeanStdDevKernel()
556: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ad18b8df3b46973ddb4196f5b31ef5356">NEMeanStdDevKernel</a>
557</li>
558<li>~NEMinMaxKernel()
559: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a84d717a70410510f56d4ed3ac2db60b1">NEMinMaxKernel</a>
560</li>
561<li>~NEMinMaxLayerKernel()
562: <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#aa517db8efb13c3f64c91e7ce2de9c5e7">NEMinMaxLayerKernel</a>
563</li>
564<li>~NEMinMaxLocationKernel()
565: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a6ec01aa0ce619004282347747efb471e">NEMinMaxLocationKernel</a>
566</li>
567<li>~NENonMaximaSuppression3x3Kernel()
568: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a1bbd53ef4af62c130e01677bbabdf145">NENonMaximaSuppression3x3Kernel</a>
569</li>
570<li>~NENormalizationLayerKernel()
571: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#adf3fc8e343c72544d6881066bab7fc8a">NENormalizationLayerKernel</a>
572</li>
573<li>~NEPixelWiseMultiplicationKernel()
574: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab299ab73ca304f9e10359a54a763f4d3">NEPixelWiseMultiplicationKernel</a>
575</li>
576<li>~NEPoolingLayerKernel()
577: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a3ce56b044278a877edbef5cff1768124">NEPoolingLayerKernel</a>
578</li>
579<li>~NEQuantizationLayerKernel()
580: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a0dcbebaa2af49b6b785329527a13e827">NEQuantizationLayerKernel</a>
581</li>
582<li>~NEReductionOperationKernel()
583: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a5afc2a41b0f14471b4d358a79a1c10e3">NEReductionOperationKernel</a>
584</li>
585<li>~NERemapKernel()
586: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a6765950fc203ca7413dd78271664c779">NERemapKernel</a>
587</li>
588<li>~NEROIPoolingLayerKernel()
589: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a15aaaadedffa6445d6282c0b1f9005b3">NEROIPoolingLayerKernel</a>
590</li>
591<li>~NEScaleKernel()
592: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#a20422dd80d0c568f0c07730923a0d8d0">NEScaleKernel</a>
593</li>
594<li>~NEScharr3x3Kernel()
595: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a40d29ef4a881c7f54f2c5ac7e59500fb">NEScharr3x3Kernel</a>
596</li>
597<li>~NESobel3x3Kernel()
598: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#aff65aac9947b796380e33bc82a9795b5">NESobel3x3Kernel</a>
599</li>
600<li>~NESobel5x5HorKernel()
601: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a9905eef5888d96ccddf9788adfadfcfb">NESobel5x5HorKernel</a>
602</li>
603<li>~NESobel5x5VertKernel()
604: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#af8c29da1f0b11bd359b1574fbf86c1c8">NESobel5x5VertKernel</a>
605</li>
606<li>~NESobel7x7HorKernel()
607: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ad4bba8f7619ade93cc4220dbcc72c35a">NESobel7x7HorKernel</a>
608</li>
609<li>~NESobel7x7VertKernel()
610: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab4a932c9b556528a0de4fdf1afda7f8a">NESobel7x7VertKernel</a>
611</li>
612<li>~NETransposeKernel()
613: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ad93ab145c1014c9cd71ba6612df96b3c">NETransposeKernel</a>
614</li>
615<li>~NEWeightsReshapeKernel()
616: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a7337b121d4f8ca7978ed617297e6397b">NEWeightsReshapeKernel</a>
617</li>
618<li>~Option()
619: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_option.xhtml#af340fed9faa9f79d3bf2e385c50d1ca0">Option</a>
620</li>
621<li>~PMU()
622: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#ab30d96d1a047f366dd309049f139fa35">PMU</a>
623</li>
624<li>~Printer()
625: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#aaa62e7eb81a5dcf350ab8b677ddd8f60">Printer</a>
626</li>
627<li>~PyramidInfo()
628: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#a443529237e92a4364aaf662644dfc686">PyramidInfo</a>
629</li>
630<li>~RawTensor()
631: <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a1ab8156de913df911b4ad1ad46f51313">RawTensor</a>
632</li>
633<li>~SimpleTensor()
634: <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a16d7ecd97f89cf9dc40b3fc7c9abe2cd">SimpleTensor&lt; T &gt;</a>
635</li>
636<li>~SqueezeNetActivationLayerDataset()
637: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_activation_layer_dataset.xhtml#adcfe238a56d7c8c0d34044695406efa0">SqueezeNetActivationLayerDataset</a>
638</li>
639<li>~Steps()
640: <a class="el" href="classarm__compute_1_1_steps.xhtml#a48c1f75c6cf7bdb28eeec6a795c5cf0d">Steps</a>
641</li>
642<li>~Strides()
643: <a class="el" href="classarm__compute_1_1_strides.xhtml#a64d502a8edb06439f9e095f92f99c227">Strides</a>
644</li>
645<li>~SubTensor()
646: <a class="el" href="classarm__compute_1_1_sub_tensor.xhtml#af1fc5900259cbc0bc26c9e6e28bb49b6">SubTensor</a>
647</li>
648<li>~SubTensorInfo()
649: <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#ad86e6a6af47f1b493eac9873f88b843f">SubTensorInfo</a>
650</li>
651<li>~Tensor()
652: <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#ae55ef806b29ad70cd952e2c1508715ae">Tensor</a>
653</li>
654<li>~TensorAllocator()
655: <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a27f8b115e4571d52d83419aaea4eeee1">TensorAllocator</a>
656</li>
657<li>~TensorInfo()
658: <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4eb5913c3ce5fe2bcbaafd8c9224d384">TensorInfo</a>
659</li>
660<li>~TensorShape()
661: <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a29ff524f0e3378fb25a8447bdeed6ba9">TensorShape</a>
662</li>
663<li>~TestCase()
664: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml#a621a13a6062459d1dd03dbd6bb48704d">TestCase</a>
665</li>
666<li>~TestCaseFactory()
667: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#aca5077964dc68ade0c366fb10a09fce8">TestCaseFactory</a>
668</li>
669<li>~ValidRegion()
670: <a class="el" href="structarm__compute_1_1_valid_region.xhtml#a79da8c24f26e8107822842a008b3fc76">ValidRegion</a>
671</li>
672<li>~VGG16ActivationLayerDataset()
673: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_activation_layer_dataset.xhtml#ab93ae79ab946678bb6f6587b1e84ba8b">VGG16ActivationLayerDataset</a>
674</li>
675<li>~YOLOV2ActivationLayerDataset()
676: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml#a925526644b51706ebb910ef741106ed9">YOLOV2ActivationLayerDataset</a>
677</li>
678<li>~YOLOV2ActivationLayerLINEARDataset()
679: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml#a853dc58924417f46365b17f1d8460988">YOLOV2ActivationLayerLINEARDataset</a>
680</li>
681<li>~YOLOV2ActivationLayerRELUDataset()
682: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml#a9c6c6f7b56fa74cfe0ecf93f31f31c33">YOLOV2ActivationLayerRELUDataset</a>
683</li>
684</ul>
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