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42 <div id="projectname">Compute Library
43 &#160;<span id="projectnumber">17.12</span>
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100 <li><a href="functions.xhtml#index__"><span>_</span></a></li>
101 <li><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>
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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 class="current"><a href="functions_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
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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_0x7e"></a>- ~ -</h3><ul>
163<li>~AccessWindowAutoPadding()
164: <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#a129a10edb6f1ecc24810945981a7e50e">AccessWindowAutoPadding</a>
165</li>
166<li>~AccessWindowRectangle()
167: <a class="el" href="classarm__compute_1_1_access_window_rectangle.xhtml#a32733393d362ac5cd19a588bb248e5c6">AccessWindowRectangle</a>
168</li>
169<li>~AccessWindowStatic()
170: <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a657392da3805fde373c0cef557739d08">AccessWindowStatic</a>
171</li>
172<li>~AlexNetActivationLayerDataset()
173: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_activation_layer_dataset.xhtml#a5b76cec586279603bda733245d9d9ab4">AlexNetActivationLayerDataset</a>
174</li>
175<li>~AlexNetNormalizationLayerDataset()
176: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_normalization_layer_dataset.xhtml#ad41a252238157b2dea193ff007b48884">AlexNetNormalizationLayerDataset</a>
177</li>
178<li>~BlobMemoryPool()
179: <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#a2e429f60410f02b72c74cae123aca669">BlobMemoryPool</a>
180</li>
181<li>~CLAbsoluteDifferenceKernel()
182: <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aea6992684b565a3656dae7216a3be2d4">CLAbsoluteDifferenceKernel</a>
183</li>
184<li>~CLAccessor()
185: <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">CLAccessor</a>
186</li>
187<li>~CLActivationLayerKernel()
188: <a class="el" href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a181f365021a9a09d59233ba388d34e04">CLActivationLayerKernel</a>
189</li>
190<li>~CLArithmeticAdditionKernel()
191: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a7963f0e83a9b2ccc626701d97a89e76a">CLArithmeticAdditionKernel</a>
192</li>
193<li>~CLArithmeticSubtractionKernel()
194: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a582c6993688f726a39586d3d3c6352a6">CLArithmeticSubtractionKernel</a>
195</li>
196<li>~CLArrayAccessor()
197: <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a2a37710fa81773bdbf719162c10f2309">CLArrayAccessor&lt; T &gt;</a>
198</li>
199<li>~CLBatchNormalizationLayerKernel()
200: <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#aafb7a9f7e113cbb1f93dd030a4994b4a">CLBatchNormalizationLayerKernel</a>
201</li>
202<li>~CLChannelCombineKernel()
203: <a class="el" href="classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#aaab19adbe7aed0d2f1aa5a7bcb5edb64">CLChannelCombineKernel</a>
204</li>
205<li>~CLChannelExtractKernel()
206: <a class="el" href="classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a27ad648b664e45d4c571487543160bfb">CLChannelExtractKernel</a>
207</li>
208<li>~CLCol2ImKernel()
209: <a class="el" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a4551e8f874d80a480ba0e5f6ad1d256e">CLCol2ImKernel</a>
210</li>
211<li>~CLColorConvertKernel()
212: <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a96d19d01c4797e1b38105b73613c46d0">CLColorConvertKernel</a>
213</li>
214<li>~CLCopyToArrayKernel()
215: <a class="el" href="classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a7fa1d109f0c6d72521e336fd3955cee9">CLCopyToArrayKernel</a>
216</li>
217<li>~CLDepthConcatenateLayerKernel()
218: <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#ac0005a72b0a709d73612b1f7b8118d3e">CLDepthConcatenateLayerKernel</a>
219</li>
220<li>~CLDequantizationLayerKernel()
221: <a class="el" href="classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#ad739052d31399013f0cf01b376c442cc">CLDequantizationLayerKernel</a>
222</li>
223<li>~CLDerivativeKernel()
224: <a class="el" href="classarm__compute_1_1_c_l_derivative_kernel.xhtml#a83d38310c15f7b92264b5403ddd0bbda">CLDerivativeKernel</a>
225</li>
226<li>~CLDirectConvolutionLayerKernel()
227: <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a050c832adce3b274f8daacedd0558dc8">CLDirectConvolutionLayerKernel</a>
228</li>
229<li>~CLFastCornersKernel()
230: <a class="el" href="classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a2b06599adac42d0aa917573716356999">CLFastCornersKernel</a>
231</li>
232<li>~CLFillBorderKernel()
233: <a class="el" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ad22d0bc4356a4068c244952df68fd5c7">CLFillBorderKernel</a>
234</li>
235<li>~CLFloorKernel()
236: <a class="el" href="classarm__compute_1_1_c_l_floor_kernel.xhtml#ad28ea1ad696bf40c73bb4a5e56a17cb2">CLFloorKernel</a>
237</li>
238<li>~CLGaussianPyramid()
239: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#afafbe10da580ab0f3105947cb4a383ac">CLGaussianPyramid</a>
240</li>
241<li>~CLGaussianPyramidHorKernel()
242: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#aff3525c5fcfeb85912814c1bbbaf0835">CLGaussianPyramidHorKernel</a>
243</li>
244<li>~CLGaussianPyramidVertKernel()
245: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#abc1512876a55b624d62f83b64efde7dd">CLGaussianPyramidVertKernel</a>
246</li>
247<li>~CLHarrisScoreKernel()
248: <a class="el" href="classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a2f0d90733f4575c7aca61716a655537e">CLHarrisScoreKernel</a>
249</li>
250<li>~CLHOGBlockNormalizationKernel()
251: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a0325a66cc953500b923a173c049f19ef">CLHOGBlockNormalizationKernel</a>
252</li>
253<li>~CLHOGDetector()
254: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_detector.xhtml#a0afb7ef9fbe6f4711284df081a88779b">CLHOGDetector</a>
255</li>
256<li>~CLHOGDetectorKernel()
257: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#a783ce2295ff8e64e4dd3d0ebaa54ed69">CLHOGDetectorKernel</a>
258</li>
259<li>~CLHOGOrientationBinningKernel()
260: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a71fb71d3440ccf4fbdf912c42ef18614">CLHOGOrientationBinningKernel</a>
261</li>
262<li>~CLL2NormalizeLayerKernel()
263: <a class="el" href="classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a5b7080d2e40363db0cb55e5a6c489b03">CLL2NormalizeLayerKernel</a>
264</li>
265<li>~CLLutAccessor()
266: <a class="el" href="classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a70063924813908ff8ddb81868c3aaab8">CLLutAccessor&lt; T &gt;</a>
267</li>
268<li>~CLLutAllocator()
269: <a class="el" href="classarm__compute_1_1_c_l_lut_allocator.xhtml#a864b976ba255c0cd2e1e2a848c89f4a3">CLLutAllocator</a>
270</li>
271<li>~CLPoolingLayerKernel()
272: <a class="el" href="classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#afcd410341247696c0569a1499407c39b">CLPoolingLayerKernel</a>
273</li>
274<li>~CLQuantizationLayerKernel()
275: <a class="el" href="classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a161b70654b73f6ea4a849244037e44f2">CLQuantizationLayerKernel</a>
276</li>
277<li>~CLReductionOperationKernel()
278: <a class="el" href="classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a41897f3ac6bba4829bc4d7e6e8966522">CLReductionOperationKernel</a>
279</li>
280<li>~CLReshapeLayerKernel()
281: <a class="el" href="classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a58e8ad2f936f30f8b9338f2fadc3a869">CLReshapeLayerKernel</a>
282</li>
283<li>~CLROIPoolingLayerKernel()
284: <a class="el" href="classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a53d9dab24d8a807311da1f9f1982bf5b">CLROIPoolingLayerKernel</a>
285</li>
286<li>~CLSobel3x3Kernel()
287: <a class="el" href="classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a95501c3f5d09ada6ea151f08fff6d120">CLSobel3x3Kernel</a>
288</li>
289<li>~CLSobel5x5HorKernel()
290: <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a6c123393267557301f2549114112d414">CLSobel5x5HorKernel</a>
291</li>
292<li>~CLSobel5x5VertKernel()
293: <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#ad88337f2cf8d90a2a9106d80c3807873">CLSobel5x5VertKernel</a>
294</li>
295<li>~CLSobel7x7HorKernel()
296: <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#aedbb8258b41802dfffc61690f890bd1b">CLSobel7x7HorKernel</a>
297</li>
298<li>~CLSobel7x7VertKernel()
299: <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#ad22bc492781a9536130d81344e26b1b7">CLSobel7x7VertKernel</a>
300</li>
301<li>~CLSubTensor()
302: <a class="el" href="classarm__compute_1_1_c_l_sub_tensor.xhtml#a3f3d38e602db0a6af8ac5e932d798617">CLSubTensor</a>
303</li>
304<li>~CLTensorAllocator()
305: <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#ae19b319fe4b1ddecacd35d45d9c4aa9b">CLTensorAllocator</a>
306</li>
307<li>~CLTuner()
308: <a class="el" href="classarm__compute_1_1_c_l_tuner.xhtml#a577ac5b9d244bdf031905faaf08b968c">CLTuner</a>
309</li>
310<li>~CLWeightsReshapeKernel()
311: <a class="el" href="classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#aa453358063eaac09ae587e87aacff69a">CLWeightsReshapeKernel</a>
312</li>
313<li>~Coordinates()
314: <a class="el" href="classarm__compute_1_1_coordinates.xhtml#a71e1d115c447afe4c2ee05f3541be118">Coordinates</a>
315</li>
316<li>~CPPCornerCandidatesKernel()
317: <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a208c06a1b38f317679a9d5658020d907">CPPCornerCandidatesKernel</a>
318</li>
319<li>~CPPPermuteKernel()
320: <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab1ee61e7cba8829906926ec41213dfdc">CPPPermuteKernel</a>
321</li>
322<li>~FileHandler()
323: <a class="el" href="classarm__compute_1_1io_1_1_file_handler.xhtml#af21f1ebc53f4b79a0cda634bef0a6137">FileHandler</a>
324</li>
325<li>~GCAbsoluteDifferenceKernel()
326: <a class="el" href="classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#aaef0d625a5772962805f2fa91e867326">GCAbsoluteDifferenceKernel</a>
327</li>
328<li>~GCAccessor()
329: <a class="el" href="classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a6f0e7701f5cd0a4c5891e79444846228">GCAccessor</a>
330</li>
331<li>~GCActivationLayerKernel()
332: <a class="el" href="classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#ac58e8dd752e9e27d70b62fbba39b78e8">GCActivationLayerKernel</a>
333</li>
334<li>~GCBatchNormalizationLayerKernel()
335: <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a7577a99c57d8dfaa4e017592ff87fb64">GCBatchNormalizationLayerKernel</a>
336</li>
337<li>~GCCol2ImKernel()
338: <a class="el" href="classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a0741fbb3f8146e4529bd5cb3d1306ee8">GCCol2ImKernel</a>
339</li>
340<li>~GCDepthConcatenateLayerKernel()
341: <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a8ae112fc92431c63d843ac740fec0fcc">GCDepthConcatenateLayerKernel</a>
342</li>
343<li>~GCDirectConvolutionLayerKernel()
344: <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a6251906591b985886f27f761110884f8">GCDirectConvolutionLayerKernel&lt; kernel_size &gt;</a>
345</li>
346<li>~GCFillBorderKernel()
347: <a class="el" href="classarm__compute_1_1_g_c_fill_border_kernel.xhtml#ace467cb1fc105e96703303fbe051ade1">GCFillBorderKernel</a>
348</li>
349<li>~GCKernel()
350: <a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml#a1b2e4d932f06eda71c000133bd277688">GCKernel</a>
351</li>
352<li>~GCKernelLibrary()
353: <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a8654ef10c691a43bd0a6e52b131ff79d">GCKernelLibrary</a>
354</li>
355<li>~GCNormalizationLayerKernel()
356: <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a6f1bacdb358411180c09a6384f475c16">GCNormalizationLayerKernel</a>
357</li>
358<li>~GCPoolingLayerKernel()
359: <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ae0374cc4c71a8fa45916ac0081306eaa">GCPoolingLayerKernel</a>
360</li>
361<li>~GCTensor()
362: <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#ac4a7cca5d7e6a0028379b9fa874ce338">GCTensor</a>
363</li>
364<li>~GCTensorAllocator()
365: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a85db26fae980aed7beed0b6a4d8c24a3">GCTensorAllocator</a>
366</li>
367<li>~GemmCommon()
368: <a class="el" href="class_gemm_common.xhtml#a431c4e53fa05a1e8ba127441e8baeed2">GemmCommon&lt; To, Tr &gt;</a>
369</li>
370<li>~GoogLeNetInceptionV1ActivationLayerDataset()
371: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_activation_layer_dataset.xhtml#a178b2a2d25386281fa6378f108a48f9a">GoogLeNetInceptionV1ActivationLayerDataset</a>
372</li>
373<li>~GoogLeNetInceptionV1NormalizationLayerDataset()
374: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_normalization_layer_dataset.xhtml#ad518d7cd69f6236083f72ad03295cba9">GoogLeNetInceptionV1NormalizationLayerDataset</a>
375</li>
376<li>~GoogLeNetInceptionV4ActivationLayerDataset()
377: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_activation_layer_dataset.xhtml#a0a118e1fd6fe3d2742dcdc528b5a6799">GoogLeNetInceptionV4ActivationLayerDataset</a>
378</li>
379<li>~Graph()
380: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#af5a604e5e9e4d68dbc10b312e59f678f">Graph</a>
381</li>
382<li>~HOGInfo()
383: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#ada121d63992678a09e1b3db5a2002bfa">HOGInfo</a>
384</li>
385<li>~IAccessor()
386: <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a04e5197de7318cec1ebfd3cea50f5de5">IAccessor</a>
387</li>
388<li>~IAccessWindow()
389: <a class="el" href="classarm__compute_1_1_i_access_window.xhtml#abc3996ab36cfa27811d661debfca5b5f">IAccessWindow</a>
390</li>
391<li>~IAllocator()
392: <a class="el" href="classarm__compute_1_1_i_allocator.xhtml#a961a3c35d2c2652499f722ea14775122">IAllocator</a>
393</li>
394<li>~IArray()
395: <a class="el" href="classarm__compute_1_1_i_array.xhtml#acaeb87c4bcccaf15bb25bd2c8e44658a">IArray&lt; T &gt;</a>
396</li>
397<li>~IArrayAccessor()
398: <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#aab5e9c61ab48807226cd3187db35c9ba">IArrayAccessor&lt; T &gt;</a>
399</li>
400<li>~ICLArray()
401: <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml#a0c95f444049eea7c7d14f6fd57ef40a1">ICLArray&lt; T &gt;</a>
402</li>
403<li>~ICLHOG()
404: <a class="el" href="classarm__compute_1_1_i_c_l_h_o_g.xhtml#a4f666198e882c54ee00dd2d7c5407df2">ICLHOG</a>
405</li>
406<li>~ICloneable()
407: <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a711fa7a27557369760fc1fd236deb51c">ICloneable&lt; T &gt;</a>
408</li>
409<li>~ICLSimpleKernel()
410: <a class="el" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a0038fc9fcfaba0b247991f74395ef0fa">ICLSimpleKernel</a>
411</li>
412<li>~ICLTensor()
413: <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml#aa0bce17c5cd01f2b45cc59afd615913e">ICLTensor</a>
414</li>
415<li>~ICLTuner()
416: <a class="el" href="classarm__compute_1_1_i_c_l_tuner.xhtml#a7103799fdecd6abca8fc84efebb3653f">ICLTuner</a>
417</li>
418<li>~ICPPKernel()
419: <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">ICPPKernel</a>
420</li>
421<li>~ICPPSimpleKernel()
422: <a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a819c40bc2449e5c47178bb34680256b8">ICPPSimpleKernel</a>
423</li>
424<li>~IDecorator()
425: <a class="el" href="classarm__compute_1_1logging_1_1_i_decorator.xhtml#a634c687b197d01fe60c2cace42a0f1d3">IDecorator</a>
426</li>
427<li>~IDistribution()
428: <a class="el" href="classarm__compute_1_1_i_distribution.xhtml#a9ee18d758810dbcfb1c9717956f51c38">IDistribution</a>
429</li>
430<li>~IFunction()
431: <a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">IFunction</a>
432</li>
433<li>~IGCSimpleKernel()
434: <a class="el" href="classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a99b962384da15831b17aa35a1dcbc4d1">IGCSimpleKernel</a>
435</li>
436<li>~IGCTensor()
437: <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml#aa5f7b3eca1cadbb4e72617eca3d6faeb">IGCTensor</a>
438</li>
439<li>~IHOG()
440: <a class="el" href="classarm__compute_1_1_i_h_o_g.xhtml#a758ea1a393875c05d2c869ddeefd0dd6">IHOG</a>
441</li>
442<li>~IKernel()
443: <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">IKernel</a>
444</li>
445<li>~ILifetimeManager()
446: <a class="el" href="classarm__compute_1_1_i_lifetime_manager.xhtml#ac6e5bab9415fdb1e8c4ad0d4d70227e9">ILifetimeManager</a>
447</li>
448<li>~ILut()
449: <a class="el" href="classarm__compute_1_1_i_lut.xhtml#ab90dd1556851ce4b6b1529dfb9107f68">ILut</a>
450</li>
451<li>~ILutAccessor()
452: <a class="el" href="classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#aadfb51f4d2d50a259ae739bdd71f91fd">ILutAccessor&lt; T &gt;</a>
453</li>
454<li>~ILutAllocator()
455: <a class="el" href="classarm__compute_1_1_i_lut_allocator.xhtml#a9c34313e5cddaebce855b939e42efc32">ILutAllocator</a>
456</li>
457<li>~IMemoryGroup()
458: <a class="el" href="classarm__compute_1_1_i_memory_group.xhtml#a9bd7b2a6304e2332de8a1fcfefb0111e">IMemoryGroup</a>
459</li>
460<li>~IMemoryManager()
461: <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml#ae63a106826a5a9104a39b0faa9558bf5">IMemoryManager</a>
462</li>
463<li>~IMemoryPool()
464: <a class="el" href="classarm__compute_1_1_i_memory_pool.xhtml#a81f863b710d9f96cc867a0755be73ab0">IMemoryPool</a>
465</li>
466<li>~IMultiHOG()
467: <a class="el" href="classarm__compute_1_1_i_multi_h_o_g.xhtml#a6698fe6d38d2bb18553ae37a5d1aa42c">IMultiHOG</a>
468</li>
469<li>~IMultiImage()
470: <a class="el" href="classarm__compute_1_1_i_multi_image.xhtml#a52c8ee0f7ff87c20c213bf2860729ea0">IMultiImage</a>
471</li>
472<li>~INEHarrisScoreKernel()
473: <a class="el" href="classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#af74d3413c9011d560c8a572037f4df9b">INEHarrisScoreKernel</a>
474</li>
475<li>~INode()
476: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1356f0d04912be3ec8d8ce7a2b0cddd2">INode</a>
477</li>
478<li>~Instrument()
479: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a7bd8541cf37e6c439d4a6bf7296437a2">Instrument</a>
480</li>
481<li>~IOperation()
482: <a class="el" href="classarm__compute_1_1graph_1_1_i_operation.xhtml#a9f9a37a4784c822c73f2e0e53a3903f3">IOperation</a>
483</li>
484<li>~IPoolManager()
485: <a class="el" href="classarm__compute_1_1_i_pool_manager.xhtml#a772884b3ff6b2c22444ba13616d9d13a">IPoolManager</a>
486</li>
487<li>~IPyramid()
488: <a class="el" href="classarm__compute_1_1_i_pyramid.xhtml#a2925d59af502d059fcb2326a6ada7867">IPyramid</a>
489</li>
490<li>~IScheduler()
491: <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a6d209385481644d97e7ca96072b73eb8">IScheduler</a>
492</li>
493<li>~ITensor()
494: <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a4aa2df36743089ac6814d83e7d4b7ffc">ITensor</a>
495</li>
496<li>~ITensorAccessor()
497: <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a3c7f21c2eb00ab7ae1c18b1418c0d9c6">ITensorAccessor</a>
498</li>
499<li>~ITensorAllocator()
500: <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#a8378fc6c887231765b885f8033c7bb99">ITensorAllocator</a>
501</li>
502<li>~ITensorInfo()
503: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad998b50febf68540277e121a9c670bfa">ITensorInfo</a>
504</li>
505<li>~ITensorObject()
506: <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_object.xhtml#a2822b8ecb3eafe764f7cd4e490ab6cb8">ITensorObject</a>
507</li>
508<li>~iterator()
509: <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>
510, <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>
511</li>
512<li>~LeNet5ActivationLayerDataset()
513: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_activation_layer_dataset.xhtml#a19ab0221be71e7ce6013048e9df658a2">LeNet5ActivationLayerDataset</a>
514</li>
515<li>~MaliCounter()
516: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a87ac9e6ba4855e29fc0f94dc2765daf7">MaliCounter</a>
517</li>
518<li>~MemoryGroupBase()
519: <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#afa4d42fbf7f8e750b0b06994bcdf138c">MemoryGroupBase&lt; TensorType &gt;</a>
520</li>
521<li>~NEAbsoluteDifferenceKernel()
522: <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a8f920e3071a96d1cb1bf77dabced479e">NEAbsoluteDifferenceKernel</a>
523</li>
524<li>~NEArithmeticAdditionKernel()
525: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a9a168f182be423014aa67a334323dfd8">NEArithmeticAdditionKernel</a>
526</li>
527<li>~NEArithmeticSubtractionKernel()
528: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#aeb20f5092b85fd6c9a4deb6e59de7c03">NEArithmeticSubtractionKernel</a>
529</li>
530<li>~NEBatchNormalizationLayerKernel()
531: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a5d323c6ced8450d0d3d76f5f58952a72">NEBatchNormalizationLayerKernel</a>
532</li>
533<li>~NEChannelCombineKernel()
534: <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a3b991bc19cdd8e7fb06de869a43c7799">NEChannelCombineKernel</a>
535</li>
536<li>~NEChannelExtractKernel()
537: <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a34e1049bf124f489f14b86b8a8852597">NEChannelExtractKernel</a>
538</li>
539<li>~NECol2ImKernel()
540: <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a4a5859db6d2635061ce55c1ddfdc734b">NECol2ImKernel</a>
541</li>
542<li>~NEColorConvertKernel()
543: <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a0debe4186682c7d37935e3284dae5c09">NEColorConvertKernel</a>
544</li>
545<li>~NEDeconvolutionLayerUpsampleKernel()
546: <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer_upsample_kernel.xhtml#ae516e1ea6a9855455537c5f89f41d6ad">NEDeconvolutionLayerUpsampleKernel</a>
547</li>
548<li>~NEDepthConcatenateLayerKernel()
549: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a5903aa43b449e404746b7efcf1809ca5">NEDepthConcatenateLayerKernel</a>
550</li>
551<li>~NEDequantizationLayerKernel()
552: <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a59cad833a05971a46a8426a7456f96dd">NEDequantizationLayerKernel</a>
553</li>
554<li>~NEDirectConvolutionLayerBiasAccumulateKernel()
555: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_bias_accumulate_kernel.xhtml#a0122bbcf061f48771f9513fdbfd50131">NEDirectConvolutionLayerBiasAccumulateKernel</a>
556</li>
557<li>~NEDirectConvolutionLayerKernel()
558: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a59e6b01f2562366f54106175432079a0">NEDirectConvolutionLayerKernel</a>
559</li>
560<li>~NEEdgeNonMaxSuppressionKernel()
561: <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a78bad28117e1cbaaaf02a131a1a1400f">NEEdgeNonMaxSuppressionKernel</a>
562</li>
563<li>~NEEdgeTraceKernel()
564: <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a63a533746b32a68c6ab1610c3a4823e6">NEEdgeTraceKernel</a>
565</li>
566<li>~NEFillArrayKernel()
567: <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a1885e2bee760c881e4d8bc5747bb3200">NEFillArrayKernel</a>
568</li>
569<li>~NEFillBorderKernel()
570: <a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ac68288caf6a7f15d12519e1a12161983">NEFillBorderKernel</a>
571</li>
572<li>~NEFillInnerBorderKernel()
573: <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a2a4252d6ad42d3828955547d4dce0c21">NEFillInnerBorderKernel</a>
574</li>
575<li>~NEGaussianPyramid()
576: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#af34c199e11afef4c68af773a9fd40150">NEGaussianPyramid</a>
577</li>
578<li>~NEGaussianPyramidHorKernel()
579: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#aa5030ad8be9a77dadfd6bca436fd16ad">NEGaussianPyramidHorKernel</a>
580</li>
581<li>~NEGaussianPyramidVertKernel()
582: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a335e126153ef3b664bf56c3e8ad143de">NEGaussianPyramidVertKernel</a>
583</li>
584<li>~NEGEMMAssemblyBaseKernel()
585: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ad96826abb992a84e363bef7624a30f9b">NEGEMMAssemblyBaseKernel</a>
586</li>
587<li>~NEGEMMMatrixAccumulateBiasesKernel()
588: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#af26cd032cee8d8d035b8d5e52422f397">NEGEMMMatrixAccumulateBiasesKernel</a>
589</li>
590<li>~NEGradientKernel()
591: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#aec72e1144d2cb538834aa369232de727">NEGradientKernel</a>
592</li>
593<li>~NEHistogramKernel()
594: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a4983480fbaa765aea4052cf5c28bf60e">NEHistogramKernel</a>
595</li>
596<li>~NEHOGBlockNormalizationKernel()
597: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a868e84205d6f33fc9bc1a24834752839">NEHOGBlockNormalizationKernel</a>
598</li>
599<li>~NEHOGDetectorKernel()
600: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ac8fd84865e94c9be09c574eb9abdfde6">NEHOGDetectorKernel</a>
601</li>
602<li>~NEHOGOrientationBinningKernel()
603: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a369c98c8c9f95122e658eed5f1a55491">NEHOGOrientationBinningKernel</a>
604</li>
605<li>~NEIm2ColKernel()
606: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#acaa705664e19820e28eb86f7737a98ba">NEIm2ColKernel</a>
607</li>
608<li>~NEL2NormalizeLayerKernel()
609: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#af780d4877cb699566c6dca8e695e3d84">NEL2NormalizeLayerKernel</a>
610</li>
611<li>~NELKTrackerKernel()
612: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab32b5b543a39437043fd3e6df25ec574">NELKTrackerKernel</a>
613</li>
614<li>~NELogits1DNormKernel()
615: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a1a9bde295eb0b6174872ebc9477a9b4d">NELogits1DNormKernel</a>
616</li>
617<li>~NELogits1DShiftExpSumKernel()
618: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a095126899a98519c75faf03ec9fa5762">NELogits1DShiftExpSumKernel</a>
619</li>
620<li>~NEMagnitudePhaseKernel()
621: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a1bd4859d9eadb11c47c40235e2b4d044">NEMagnitudePhaseKernel&lt; mag_type, phase_type &gt;</a>
622</li>
623<li>~NEMeanStdDevKernel()
624: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ad18b8df3b46973ddb4196f5b31ef5356">NEMeanStdDevKernel</a>
625</li>
626<li>~NEMinMaxKernel()
627: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a84d717a70410510f56d4ed3ac2db60b1">NEMinMaxKernel</a>
628</li>
629<li>~NEMinMaxLayerKernel()
630: <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#aa517db8efb13c3f64c91e7ce2de9c5e7">NEMinMaxLayerKernel</a>
631</li>
632<li>~NEMinMaxLocationKernel()
633: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a6ec01aa0ce619004282347747efb471e">NEMinMaxLocationKernel</a>
634</li>
635<li>~NENonMaximaSuppression3x3Kernel()
636: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a1bbd53ef4af62c130e01677bbabdf145">NENonMaximaSuppression3x3Kernel</a>
637</li>
638<li>~NENormalizationLayerKernel()
639: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#adf3fc8e343c72544d6881066bab7fc8a">NENormalizationLayerKernel</a>
640</li>
641<li>~NEPixelWiseMultiplicationKernel()
642: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab299ab73ca304f9e10359a54a763f4d3">NEPixelWiseMultiplicationKernel</a>
643</li>
644<li>~NEPoolingLayerKernel()
645: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a3ce56b044278a877edbef5cff1768124">NEPoolingLayerKernel</a>
646</li>
647<li>~NEQuantizationLayerKernel()
648: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a0dcbebaa2af49b6b785329527a13e827">NEQuantizationLayerKernel</a>
649</li>
650<li>~NEReductionOperationKernel()
651: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a5afc2a41b0f14471b4d358a79a1c10e3">NEReductionOperationKernel</a>
652</li>
653<li>~NERemapKernel()
654: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a6765950fc203ca7413dd78271664c779">NERemapKernel</a>
655</li>
656<li>~NEROIPoolingLayerKernel()
657: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a15aaaadedffa6445d6282c0b1f9005b3">NEROIPoolingLayerKernel</a>
658</li>
659<li>~NEScaleKernel()
660: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#a20422dd80d0c568f0c07730923a0d8d0">NEScaleKernel</a>
661</li>
662<li>~NEScharr3x3Kernel()
663: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a40d29ef4a881c7f54f2c5ac7e59500fb">NEScharr3x3Kernel</a>
664</li>
665<li>~NESobel3x3Kernel()
666: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#aff65aac9947b796380e33bc82a9795b5">NESobel3x3Kernel</a>
667</li>
668<li>~NESobel5x5HorKernel()
669: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a9905eef5888d96ccddf9788adfadfcfb">NESobel5x5HorKernel</a>
670</li>
671<li>~NESobel5x5VertKernel()
672: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#af8c29da1f0b11bd359b1574fbf86c1c8">NESobel5x5VertKernel</a>
673</li>
674<li>~NESobel7x7HorKernel()
675: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ad4bba8f7619ade93cc4220dbcc72c35a">NESobel7x7HorKernel</a>
676</li>
677<li>~NESobel7x7VertKernel()
678: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab4a932c9b556528a0de4fdf1afda7f8a">NESobel7x7VertKernel</a>
679</li>
680<li>~NETransposeKernel()
681: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ad93ab145c1014c9cd71ba6612df96b3c">NETransposeKernel</a>
682</li>
683<li>~NEWeightsReshapeKernel()
684: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a7337b121d4f8ca7978ed617297e6397b">NEWeightsReshapeKernel</a>
685</li>
686<li>~NEWinogradLayerKernel()
687: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml#ac9989decbb2c46d1f4246dcdcfe4ed1e">NEWinogradLayerKernel</a>
688</li>
689<li>~OffsetMemoryPool()
690: <a class="el" href="classarm__compute_1_1_offset_memory_pool.xhtml#a1f61de334261e99fa99e38e60c4b9e17">OffsetMemoryPool</a>
691</li>
692<li>~Option()
693: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_option.xhtml#af340fed9faa9f79d3bf2e385c50d1ca0">Option</a>
694</li>
695<li>~PMU()
696: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#ab30d96d1a047f366dd309049f139fa35">PMU</a>
697</li>
698<li>~Printer()
699: <a class="el" href="classarm__compute_1_1logging_1_1_printer.xhtml#aaa62e7eb81a5dcf350ab8b677ddd8f60">Printer</a>
700</li>
701<li>~PyramidInfo()
702: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#a443529237e92a4364aaf662644dfc686">PyramidInfo</a>
703</li>
704<li>~RawTensor()
705: <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a1ab8156de913df911b4ad1ad46f51313">RawTensor</a>
706</li>
707<li>~SimpleTensor()
708: <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a16d7ecd97f89cf9dc40b3fc7c9abe2cd">SimpleTensor&lt; T &gt;</a>
709</li>
710<li>~SqueezeNetActivationLayerDataset()
711: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_activation_layer_dataset.xhtml#adcfe238a56d7c8c0d34044695406efa0">SqueezeNetActivationLayerDataset</a>
712</li>
713<li>~Steps()
714: <a class="el" href="classarm__compute_1_1_steps.xhtml#a48c1f75c6cf7bdb28eeec6a795c5cf0d">Steps</a>
715</li>
716<li>~Strides()
717: <a class="el" href="classarm__compute_1_1_strides.xhtml#a64d502a8edb06439f9e095f92f99c227">Strides</a>
718</li>
719<li>~SubTensor()
720: <a class="el" href="classarm__compute_1_1graph_1_1_sub_tensor.xhtml#af1fc5900259cbc0bc26c9e6e28bb49b6">SubTensor</a>
721</li>
722<li>~SubTensorInfo()
723: <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#ad86e6a6af47f1b493eac9873f88b843f">SubTensorInfo</a>
724</li>
725<li>~Tensor()
726: <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#ae55ef806b29ad70cd952e2c1508715ae">Tensor</a>
727</li>
728<li>~Tensor4D()
729: <a class="el" href="class_tensor4_d.xhtml#a0bf55095e7aebceef674a3ee40d16597">Tensor4D&lt; ShapeT, T &gt;</a>
730</li>
731<li>~TensorAllocator()
732: <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a27f8b115e4571d52d83419aaea4eeee1">TensorAllocator</a>
733</li>
734<li>~TensorInfo()
735: <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4eb5913c3ce5fe2bcbaafd8c9224d384">TensorInfo</a>
736</li>
737<li>~TensorShape()
738: <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a29ff524f0e3378fb25a8447bdeed6ba9">TensorShape</a>
739</li>
740<li>~TestCase()
741: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml#a621a13a6062459d1dd03dbd6bb48704d">TestCase</a>
742</li>
743<li>~TestCaseFactory()
744: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#aca5077964dc68ade0c366fb10a09fce8">TestCaseFactory</a>
745</li>
746<li>~ValidRegion()
747: <a class="el" href="structarm__compute_1_1_valid_region.xhtml#a79da8c24f26e8107822842a008b3fc76">ValidRegion</a>
748</li>
749<li>~VGG16ActivationLayerDataset()
750: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_activation_layer_dataset.xhtml#ab93ae79ab946678bb6f6587b1e84ba8b">VGG16ActivationLayerDataset</a>
751</li>
752<li>~Winograd3x3F32()
753: <a class="el" href="classarm__compute_1_1_winograd3x3_f32.xhtml#a39afe97f3489074b5eabfb447011edce">Winograd3x3F32</a>
754</li>
755<li>~YOLOV2ActivationLayerDataset()
756: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml#a925526644b51706ebb910ef741106ed9">YOLOV2ActivationLayerDataset</a>
757</li>
758<li>~YOLOV2ActivationLayerLINEARDataset()
759: <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>
760</li>
761<li>~YOLOV2ActivationLayerRELUDataset()
762: <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>
763</li>
764</ul>
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