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sparseconvnet/SCN/CUDA/Deconvolution.cpp (56:65) duplicated block id: 202 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (563:585) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (787:809) duplicated block id: 203 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/BatchwiseMultiplicativeDropout.cu (64:72) - sparseconvnet/SCN/CUDA/BatchwiseMultiplicativeDropout.cu (88:97) duplicated block id: 204 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AveragePooling.cu (15:23) - sparseconvnet/SCN/CUDA/AveragePooling.cu (94:102) duplicated block id: 205 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/ConvolutionRules.h (43:51) - sparseconvnet/SCN/Metadata/RandomizedStrideRules.h (110:118) duplicated block id: 206 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (369:378) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (565:574) duplicated block id: 207 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (123:131) - sparseconvnet/SCN/CUDA/IOLayers.cpp (101:109) duplicated block id: 208 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AveragePooling.cpp (21:30) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (19:28) duplicated block id: 209 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/sparsehash/internal/densehashtable.h (151:161) - sparseconvnet/SCN/Metadata/sparsehash/internal/densehashtable.h (204:214) duplicated block id: 210 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (146:156) - sparseconvnet/SCN/CUDA/Convolution.cpp (285:295) duplicated block id: 211 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (79:89) - sparseconvnet/SCN/CUDA/Convolution.cpp (211:221) duplicated block id: 212 size: 9 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (102:110) - sparseconvnet/SCN/CUDA/IOLayers.cpp (77:85) duplicated block id: 213 size: 9 cleaned lines of code in 2 files: - 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sparseconvnet/SCN/sparseconvnet_cpu.cpp (360:368) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (551:559) duplicated block id: 233 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/MaxPooling.cu (1:10) - sparseconvnet/SCN/CUDA/UnPooling.cu (1:10) duplicated block id: 234 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (115:123) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (39:47) duplicated block id: 235 size: 8 cleaned lines of code in 2 files: - sparseconvnet/averagePooling.py (86:93) - sparseconvnet/maxPooling.py (31:38) duplicated block id: 236 size: 8 cleaned lines of code in 2 files: - sparseconvnet/dropout.py (23:31) - sparseconvnet/dropout.py (44:52) duplicated block id: 237 size: 8 cleaned lines of code in 2 files: - sparseconvnet/networkInNetwork.py (28:36) - sparseconvnet/permutohedralSubmanifoldConvolution.py (89:97) duplicated block id: 238 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (126:133) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (349:356) duplicated block id: 239 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (336:343) - sparseconvnet/SCN/CUDA/Deconvolution.cpp (56:63) duplicated block id: 240 size: 8 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (126:133) - sparseconvnet/permutohedralSubmanifoldConvolution.py (89:97) duplicated block id: 241 size: 8 cleaned lines of code in 2 files: - sparseconvnet/permutohedralSubmanifoldConvolution.py (104:111) - sparseconvnet/shapeContext.py (101:108) duplicated block id: 242 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (32:39) - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (326:333) duplicated block id: 243 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (194:202) - sparseconvnet/SCN/CUDA/Deconvolution.cu (191:199) duplicated block id: 244 size: 8 cleaned lines of code in 2 files: - sparseconvnet/networkInNetwork.py (28:36) - sparseconvnet/submanifoldConvolution.py (90:98) duplicated block id: 245 size: 8 cleaned lines of code in 2 files: - 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sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (194:202) - sparseconvnet/SCN/CUDA/Convolution.cu (239:247) duplicated block id: 265 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Deconvolution.cpp (9:16) - sparseconvnet/SCN/CUDA/Deconvolution.cpp (22:30) duplicated block id: 266 size: 8 cleaned lines of code in 2 files: - sparseconvnet/permutohedralSubmanifoldConvolution.py (104:111) - sparseconvnet/submanifoldConvolution.py (106:113) duplicated block id: 267 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (47:54) - sparseconvnet/SCN/CUDA/Convolution.cpp (25:33) duplicated block id: 268 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (74:81) - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (146:153) duplicated block id: 269 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/IOLayersRules.h (170:178) - sparseconvnet/SCN/Metadata/IOLayersRules.h (236:244) duplicated block id: 270 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/MaxPooling.cpp (39:47) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (83:91) duplicated block id: 271 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/IOLayers.cpp (60:70) - sparseconvnet/SCN/CUDA/IOLayers.cpp (166:176) duplicated block id: 272 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (101:108) - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (326:333) duplicated block id: 273 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/AveragePooling.cpp (9:17) - sparseconvnet/SCN/CPU/AveragePooling.cpp (23:31) duplicated block id: 274 size: 8 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (126:133) - sparseconvnet/networkInNetwork.py (28:36) duplicated block id: 275 size: 8 cleaned lines of code in 2 files: - sparseconvnet/permutohedralSubmanifoldConvolution.py (67:74) - sparseconvnet/shapeContext.py (61:68) duplicated block id: 276 size: 8 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (72:81) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (109:118) duplicated block id: 277 size: 8 cleaned lines of code in 2 files: - sparseconvnet/maxPooling.py (31:38) - sparseconvnet/unPooling.py (36:43) duplicated block id: 278 size: 7 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (93:99) - sparseconvnet/shapeContext.py (61:67) duplicated block id: 279 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (151:157) - sparseconvnet/SCN/CUDA/Deconvolution.cu (221:227) duplicated block id: 280 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/AveragePooling.cpp (39:46) - sparseconvnet/SCN/CUDA/UnPooling.cpp (18:25) duplicated block id: 281 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/MaxPooling.cpp (19:26) - sparseconvnet/SCN/CUDA/UnPooling.cpp (18:25) duplicated block id: 282 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (204:211) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (303:310) duplicated block id: 283 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (154:161) - sparseconvnet/SCN/CUDA/Deconvolution.cu (359:366) duplicated block id: 284 size: 7 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (148:154) - sparseconvnet/shapeContext.py (101:107) duplicated block id: 285 size: 7 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (71:77) - sparseconvnet/submanifoldConvolution.py (65:71) duplicated block id: 286 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (47:53) - sparseconvnet/SCN/CPU/Deconvolution.cpp (9:15) duplicated block id: 287 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (534:540) - sparseconvnet/SCN/CUDA/Deconvolution.cu (208:214) duplicated block id: 288 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (270:276) - sparseconvnet/SCN/CUDA/Deconvolution.cu (33:39) duplicated block id: 289 size: 7 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (15:21) - sparseconvnet/submanifoldConvolution.py (16:22) duplicated block id: 290 size: 7 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (92:98) - sparseconvnet/fullConvolution.py (93:99) duplicated block id: 291 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (151:157) - sparseconvnet/SCN/CUDA/Convolution.cu (349:355) duplicated block id: 292 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (270:276) - sparseconvnet/SCN/CUDA/Deconvolution.cu (103:109) duplicated block id: 293 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (100:108) - sparseconvnet/SCN/CPU/UnPooling.cpp (45:53) duplicated block id: 294 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (220:226) - sparseconvnet/SCN/CUDA/IOLayers.cpp (212:218) duplicated block id: 295 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (257:263) - sparseconvnet/SCN/CUDA/Convolution.cu (534:540) duplicated block id: 296 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (197:203) - sparseconvnet/SCN/CUDA/IOLayers.cpp (187:193) duplicated block id: 297 size: 7 cleaned lines of code in 2 files: - sparseconvnet/dropout.py (14:21) - sparseconvnet/dropout.py (35:42) duplicated block id: 298 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (313:320) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (477:484) duplicated block id: 299 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (183:193) - sparseconvnet/SCN/CUDA/Convolution.cpp (252:262) duplicated block id: 300 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (409:416) - sparseconvnet/SCN/CUDA/Deconvolution.cu (154:161) duplicated block id: 301 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (182:188) - sparseconvnet/SCN/CUDA/Deconvolution.cu (180:186) duplicated block id: 302 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/32bits.h (29:35) - sparseconvnet/SCN/Metadata/64bits.h (43:49) duplicated block id: 303 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (486:492) - sparseconvnet/SCN/CUDA/Convolution.cu (568:574) duplicated block id: 304 size: 7 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (15:21) - sparseconvnet/submanifoldConvolution.py (16:22) duplicated block id: 305 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/64bits.h (29:35) - sparseconvnet/SCN/Metadata/64bits.h (43:49) duplicated block id: 306 size: 7 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (148:154) - sparseconvnet/permutohedralSubmanifoldConvolution.py (104:110) duplicated block id: 307 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (151:157) - sparseconvnet/SCN/CUDA/Deconvolution.cu (299:305) duplicated block id: 308 size: 7 cleaned lines of code in 2 files: - sparseconvnet/permutohedralSubmanifoldConvolution.py (76:82) - sparseconvnet/shapeContext.py (71:77) duplicated block id: 309 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (336:342) - sparseconvnet/SCN/CUDA/Deconvolution.cu (484:490) duplicated block id: 310 size: 7 cleaned lines of code in 2 files: - sparseconvnet/randomizedStrideConvolution.py (84:90) - sparseconvnet/submanifoldConvolution.py (65:71) duplicated block id: 311 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (81:87) - sparseconvnet/SCN/CUDA/Convolution.cu (349:355) duplicated block id: 312 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (65:73) - sparseconvnet/SCN/CPU/IOLayers.cpp (155:163) duplicated block id: 313 size: 7 cleaned lines of code in 2 files: - sparseconvnet/randomizedStrideConvolution.py (26:32) - sparseconvnet/submanifoldConvolution.py (16:22) duplicated block id: 314 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (257:263) - sparseconvnet/SCN/CUDA/Deconvolution.cu (484:490) duplicated block id: 315 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (228:234) - sparseconvnet/SCN/CUDA/Deconvolution.cu (180:186) duplicated block id: 316 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (534:540) - sparseconvnet/SCN/CUDA/Deconvolution.cu (286:292) duplicated block id: 317 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (243:250) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (364:371) duplicated block id: 318 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (25:32) - sparseconvnet/SCN/CUDA/Deconvolution.cpp (22:29) duplicated block id: 319 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/IOLayers.cpp (85:93) - sparseconvnet/SCN/CUDA/IOLayers.cpp (193:201) duplicated block id: 320 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (33:39) - sparseconvnet/SCN/CUDA/Deconvolution.cu (299:305) duplicated block id: 321 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (117:127) - sparseconvnet/SCN/CUDA/Convolution.cpp (324:334) duplicated block id: 322 size: 7 cleaned lines of code in 2 files: - sparseconvnet/averagePooling.py (113:119) - sparseconvnet/maxPooling.py (58:64) duplicated block id: 323 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/32bits.h (43:49) - sparseconvnet/SCN/Metadata/64bits.h (29:35) duplicated block id: 324 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (165:171) - sparseconvnet/SCN/CUDA/Convolution.cu (365:371) duplicated block id: 325 size: 7 cleaned lines of code in 2 files: - sparseconvnet/randomizedStrideMaxPooling.py (74:81) - sparseconvnet/unPooling.py (65:71) duplicated block id: 326 size: 7 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (92:98) - sparseconvnet/shapeContext.py (61:67) duplicated block id: 327 size: 7 cleaned lines of code in 2 files: - sparseconvnet/averagePooling.py (113:119) - sparseconvnet/randomizedStrideMaxPooling.py (58:64) duplicated block id: 328 size: 7 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (93:99) - sparseconvnet/submanifoldConvolution.py (65:71) duplicated block id: 329 size: 7 cleaned lines of code in 2 files: - sparseconvnet/randomizedStrideConvolution.py (84:90) - sparseconvnet/shapeContext.py (61:67) duplicated block id: 330 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (103:109) - sparseconvnet/SCN/CUDA/Deconvolution.cu (221:227) duplicated block id: 331 size: 7 cleaned lines of code in 2 files: - sparseconvnet/maxPooling.py (74:81) - sparseconvnet/unPooling.py (65:71) duplicated block id: 332 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (486:492) - sparseconvnet/SCN/CUDA/Deconvolution.cu (518:524) duplicated block id: 333 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (395:402) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (605:612) duplicated block id: 334 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AveragePooling.cpp (21:28) - sparseconvnet/SCN/CUDA/UnPooling.cpp (18:25) duplicated block id: 335 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (202:209) - sparseconvnet/SCN/CUDA/Convolution.cu (409:416) duplicated block id: 336 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (47:57) - sparseconvnet/SCN/CUDA/Convolution.cpp (183:193) duplicated block id: 337 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (39:46) - sparseconvnet/SCN/CUDA/UnPooling.cpp (18:25) duplicated block id: 338 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/32bits.h (29:35) - sparseconvnet/SCN/Metadata/32bits.h (43:49) duplicated block id: 339 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (80:86) - sparseconvnet/SCN/CUDA/IOLayers.cpp (101:107) duplicated block id: 340 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Deconvolution.cpp (9:15) - sparseconvnet/SCN/CUDA/Convolution.cpp (25:32) duplicated block id: 341 size: 7 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (148:154) - sparseconvnet/submanifoldConvolution.py (106:112) duplicated block id: 342 size: 7 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (71:77) - sparseconvnet/fullConvolution.py (93:99) duplicated block id: 343 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (322:329) - sparseconvnet/SCN/CUDA/Deconvolution.cu (470:477) duplicated block id: 344 size: 7 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (119:125) - sparseconvnet/submanifoldConvolution.py (106:112) duplicated block id: 345 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (117:123) - sparseconvnet/SCN/CUDA/Deconvolution.cu (315:321) duplicated block id: 346 size: 7 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (16:22) - sparseconvnet/submanifoldConvolution.py (16:22) duplicated block id: 347 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (81:87) - sparseconvnet/SCN/CUDA/Convolution.cu (270:276) duplicated block id: 348 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/IOLayersRules.h (181:187) - sparseconvnet/SCN/Metadata/IOLayersRules.h (195:201) duplicated block id: 349 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/IOLayersRules.h (212:218) - sparseconvnet/SCN/Metadata/IOLayersRules.h (268:274) duplicated block id: 350 size: 7 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (93:99) - sparseconvnet/randomizedStrideConvolution.py (84:90) duplicated block id: 351 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (117:127) - sparseconvnet/SCN/CUDA/Convolution.cpp (252:262) duplicated block id: 352 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (103:109) - sparseconvnet/SCN/CUDA/Deconvolution.cu (299:305) duplicated block id: 353 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (47:53) - sparseconvnet/SCN/CUDA/Deconvolution.cpp (22:29) duplicated block id: 354 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (369:375) - sparseconvnet/SCN/CPU/Deconvolution.cpp (45:51) duplicated block id: 355 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (33:39) - sparseconvnet/SCN/CUDA/Deconvolution.cu (221:227) duplicated block id: 356 size: 7 cleaned lines of code in 2 files: - sparseconvnet/randomizedStrideConvolution.py (133:139) - sparseconvnet/shapeContext.py (101:107) duplicated block id: 357 size: 7 cleaned lines of code in 2 files: - sparseconvnet/averagePooling.py (23:30) - sparseconvnet/unPooling.py (65:71) duplicated block id: 358 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (379:386) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (580:587) duplicated block id: 359 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (182:188) - sparseconvnet/SCN/CUDA/Convolution.cu (228:234) duplicated block id: 360 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (81:87) - sparseconvnet/SCN/CUDA/Deconvolution.cu (221:227) duplicated block id: 361 size: 7 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (119:125) - sparseconvnet/permutohedralSubmanifoldConvolution.py (104:110) duplicated block id: 362 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (286:292) - sparseconvnet/SCN/CUDA/Deconvolution.cu (484:490) duplicated block id: 363 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (568:574) - sparseconvnet/SCN/CUDA/Deconvolution.cu (436:442) duplicated block id: 364 size: 7 cleaned lines of code in 2 files: - sparseconvnet/permutohedralSubmanifoldConvolution.py (67:73) - sparseconvnet/randomizedStrideConvolution.py (84:90) duplicated block id: 365 size: 7 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (71:77) - sparseconvnet/shapeContext.py (61:67) duplicated block id: 366 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (436:442) - sparseconvnet/SCN/CUDA/Deconvolution.cu (518:524) duplicated block id: 367 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (322:329) - sparseconvnet/SCN/CUDA/Convolution.cu (520:527) duplicated block id: 368 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/AveragePooling.cpp (39:46) - sparseconvnet/SCN/CPU/UnPooling.cpp (36:43) duplicated block id: 369 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/IOLayersRules.h (36:42) - sparseconvnet/SCN/Metadata/IOLayersRules.h (62:68) duplicated block id: 370 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (39:46) - sparseconvnet/SCN/CPU/UnPooling.cpp (36:43) duplicated block id: 371 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/IOLayers.cpp (36:44) - sparseconvnet/SCN/CUDA/IOLayers.cpp (140:148) duplicated block id: 372 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (47:57) - sparseconvnet/SCN/CUDA/Convolution.cpp (117:127) duplicated block id: 373 size: 7 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (119:125) - sparseconvnet/shapeContext.py (101:107) duplicated block id: 374 size: 7 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (71:77) - sparseconvnet/permutohedralSubmanifoldConvolution.py (67:73) duplicated block id: 375 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (349:355) - sparseconvnet/SCN/CUDA/Deconvolution.cu (103:109) duplicated block id: 376 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (81:87) - sparseconvnet/SCN/CUDA/Deconvolution.cu (299:305) duplicated block id: 377 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (208:214) - sparseconvnet/SCN/CUDA/Deconvolution.cu (484:490) duplicated block id: 378 size: 7 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (92:98) - sparseconvnet/permutohedralSubmanifoldConvolution.py (67:73) duplicated block id: 379 size: 7 cleaned lines of code in 2 files: - sparseconvnet/permutohedralSubmanifoldConvolution.py (104:110) - sparseconvnet/randomizedStrideConvolution.py (133:139) duplicated block id: 380 size: 7 cleaned lines of code in 2 files: - sparseconvnet/permutohedralSubmanifoldConvolution.py (76:82) - sparseconvnet/submanifoldConvolution.py (75:81) duplicated block id: 381 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (349:355) - sparseconvnet/SCN/CUDA/Deconvolution.cu (33:39) duplicated block id: 382 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (336:342) - sparseconvnet/SCN/CUDA/Convolution.cu (534:540) duplicated block id: 383 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (202:209) - sparseconvnet/SCN/CUDA/Deconvolution.cu (359:366) duplicated block id: 384 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/UnPooling.cpp (36:43) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (19:26) duplicated block id: 385 size: 7 cleaned lines of code in 2 files: - sparseconvnet/randomizedStrideConvolution.py (133:139) - sparseconvnet/submanifoldConvolution.py (106:112) duplicated block id: 386 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (151:157) - sparseconvnet/SCN/CUDA/Convolution.cu (270:276) duplicated block id: 387 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/UnPooling.cpp (36:43) - sparseconvnet/SCN/CUDA/AveragePooling.cpp (21:28) duplicated block id: 388 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cpp (183:193) - sparseconvnet/SCN/CUDA/Convolution.cpp (324:334) duplicated block id: 389 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (83:89) - sparseconvnet/SCN/CPU/Convolution.cpp (369:375) duplicated block id: 390 size: 7 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (92:98) - sparseconvnet/submanifoldConvolution.py (65:71) duplicated block id: 391 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (174:180) - sparseconvnet/SCN/CUDA/IOLayers.cpp (160:166) duplicated block id: 392 size: 7 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (48:56) - sparseconvnet/SCN/CPU/UnPooling.cpp (45:53) duplicated block id: 393 size: 7 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (93:99) - sparseconvnet/permutohedralSubmanifoldConvolution.py (67:73) duplicated block id: 394 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (371:376) - sparseconvnet/SCN/CUDA/Deconvolution.cu (524:529) duplicated block id: 395 size: 6 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (114:119) - sparseconvnet/permutohedralSubmanifoldConvolution.py (88:93) duplicated block id: 396 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (469:475) - sparseconvnet/SCN/CUDA/Deconvolution.cu (105:111) duplicated block id: 397 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (93:98) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (262:267) duplicated block id: 398 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (91:97) - sparseconvnet/SCN/CPU/UnPooling.cpp (36:42) duplicated block id: 399 size: 6 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (122:127) - sparseconvnet/randomizedStrideConvolution.py (101:106) duplicated block id: 400 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (335:341) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (511:517) duplicated block id: 401 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (73:78) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (215:220) duplicated block id: 402 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (295:300) - sparseconvnet/SCN/CUDA/Convolution.cpp (264:269) duplicated block id: 403 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (153:159) - sparseconvnet/SCN/CUDA/Deconvolution.cu (419:425) duplicated block id: 404 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (469:475) - sparseconvnet/SCN/CUDA/Deconvolution.cu (35:41) duplicated block id: 405 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AveragePooling.cu (21:26) - sparseconvnet/SCN/CUDA/MaxPooling.cu (55:60) duplicated block id: 406 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/AveragePooling.cpp (39:45) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (63:69) duplicated block id: 407 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (69:75) - sparseconvnet/SCN/CUDA/AveragePooling.cpp (48:54) duplicated block id: 408 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (123:129) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (187:193) duplicated block id: 409 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/FullConvolutionRules.h (66:73) - sparseconvnet/SCN/Metadata/RandomizedStrideRules.h (137:144) duplicated block id: 410 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/AveragePooling.cpp (39:45) - sparseconvnet/SCN/CPU/MaxPooling.cpp (91:97) duplicated block id: 411 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (155:160) - sparseconvnet/SCN/sparseconvnet_cpu.cpp (276:281) duplicated block id: 412 size: 6 cleaned lines of code in 2 files: - sparseconvnet/batchNormalization.py (94:99) - sparseconvnet/submanifoldConvolution.py (65:70) duplicated block id: 413 size: 6 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (28:34) - sparseconvnet/permutohedralSubmanifoldConvolution.py (41:47) duplicated block id: 414 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (224:229) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (334:339) duplicated block id: 415 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (272:278) - sparseconvnet/SCN/CUDA/Convolution.cu (549:555) duplicated block id: 416 size: 6 cleaned lines of code in 2 files: - sparseconvnet/inputBatch.py (63:68) - sparseconvnet/inputBatch.py (106:111) duplicated block id: 417 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/IOLayers.cpp (156:162) - sparseconvnet/SCN/CUDA/IOLayers.cpp (209:214) duplicated block id: 418 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (242:247) - sparseconvnet/SCN/CUDA/Deconvolution.cu (525:530) duplicated block id: 419 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (198:203) - sparseconvnet/SCN/CUDA/Convolution.cu (516:521) duplicated block id: 420 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (516:521) - sparseconvnet/SCN/CUDA/Deconvolution.cu (150:155) duplicated block id: 421 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (371:376) - sparseconvnet/SCN/CUDA/Convolution.cu (574:579) duplicated block id: 422 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (351:357) - sparseconvnet/SCN/CUDA/Convolution.cu (549:555) duplicated block id: 423 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (148:153) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (400:405) duplicated block id: 424 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (123:128) - sparseconvnet/SCN/CUDA/Deconvolution.cu (466:471) duplicated block id: 425 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cuda.cpp (264:269) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (418:423) duplicated block id: 426 size: 6 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (28:34) - sparseconvnet/permutohedralSubmanifoldConvolution.py (41:47) duplicated block id: 427 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (418:423) - sparseconvnet/SCN/CUDA/Deconvolution.cu (498:503) duplicated block id: 428 size: 6 cleaned lines of code in 2 files: - sparseconvnet/batchNormalization.py (94:99) - sparseconvnet/fullConvolution.py (93:98) duplicated block id: 429 size: 6 cleaned lines of code in 2 files: - sparseconvnet/utils.py (260:265) - sparseconvnet/utils.py (287:292) duplicated block id: 430 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (91:97) - sparseconvnet/SCN/CUDA/AveragePooling.cpp (21:27) duplicated block id: 431 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (291:296) - sparseconvnet/SCN/CUDA/Deconvolution.cu (525:530) duplicated block id: 432 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (291:296) - sparseconvnet/SCN/CUDA/Convolution.cu (575:580) duplicated block id: 433 size: 6 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (128:134) - sparseconvnet/randomizedStrideMaxPooling.py (46:52) duplicated block id: 434 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (150:155) - sparseconvnet/SCN/CUDA/Deconvolution.cu (466:471) duplicated block id: 435 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (123:128) - sparseconvnet/SCN/CUDA/Convolution.cu (516:521) duplicated block id: 436 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (115:122) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (175:182) duplicated block id: 437 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (549:555) - sparseconvnet/SCN/CUDA/Deconvolution.cu (223:229) duplicated block id: 438 size: 6 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (145:150) - sparseconvnet/randomizedStrideConvolution.py (134:139) duplicated block id: 439 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (171:177) - sparseconvnet/SCN/CUDA/Deconvolution.cu (442:448) duplicated block id: 440 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (47:52) - sparseconvnet/SCN/CPU/Convolution.cpp (333:338) duplicated block id: 441 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (83:88) - sparseconvnet/SCN/CUDA/IOLayers.cpp (55:60) duplicated block id: 442 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (198:203) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (292:297) duplicated block id: 443 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (468:473) - sparseconvnet/SCN/CUDA/Convolution.cu (548:553) duplicated block id: 444 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (151:157) - sparseconvnet/SCN/CUDA/Convolution.cu (201:207) duplicated block id: 445 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (548:553) - sparseconvnet/SCN/CUDA/Deconvolution.cu (418:423) duplicated block id: 446 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (575:580) - sparseconvnet/SCN/CUDA/Deconvolution.cu (242:247) duplicated block id: 447 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (333:338) - sparseconvnet/SCN/CUDA/Convolution.cpp (25:30) duplicated block id: 448 size: 6 cleaned lines of code in 2 files: - sparseconvnet/batchNormalization.py (94:99) - sparseconvnet/convolution.py (71:76) duplicated block id: 449 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (549:555) - sparseconvnet/SCN/CUDA/Deconvolution.cu (301:307) duplicated block id: 450 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/MaxPooling.cpp (63:69) - sparseconvnet/SCN/CUDA/UnPooling.cpp (18:24) duplicated block id: 451 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (153:159) - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (399:405) duplicated block id: 452 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (623:628) - sparseconvnet/SCN/CUDA/Deconvolution.cu (573:578) duplicated block id: 453 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AveragePooling.cu (56:61) - sparseconvnet/SCN/CUDA/MaxPooling.cu (55:60) duplicated block id: 454 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (198:203) - sparseconvnet/SCN/CUDA/Deconvolution.cu (75:80) duplicated block id: 455 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (1:7) - sparseconvnet/SCN/CUDA/UnPooling.cu (1:7) duplicated block id: 456 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (223:229) - sparseconvnet/SCN/CUDA/Deconvolution.cu (499:505) duplicated block id: 457 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (93:98) - sparseconvnet/SCN/sparseconvnet_cpu.cpp (177:182) duplicated block id: 458 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/BatchNormalization.cpp (117:122) - sparseconvnet/SCN/CUDA/BatchNormalization.cpp (30:35) duplicated block id: 459 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (198:203) - sparseconvnet/SCN/CUDA/Deconvolution.cu (466:471) duplicated block id: 460 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (516:521) - sparseconvnet/SCN/CUDA/Deconvolution.cu (75:80) duplicated block id: 461 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (35:41) - sparseconvnet/SCN/CUDA/Deconvolution.cu (419:425) duplicated block id: 462 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (170:176) - sparseconvnet/SCN/CPU/IOLayers.cpp (217:222) duplicated block id: 463 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (321:327) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (489:495) duplicated block id: 464 size: 6 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (145:150) - sparseconvnet/submanifoldConvolution.py (107:112) duplicated block id: 465 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (91:97) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (19:25) duplicated block id: 466 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (60:65) - sparseconvnet/SCN/CPU/IOLayers.cpp (103:108) duplicated block id: 467 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/BatchNormalization.cpp (151:156) - sparseconvnet/SCN/CUDA/BatchNormalization.cpp (64:69) duplicated block id: 468 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (655:660) - sparseconvnet/SCN/CUDA/Deconvolution.cu (605:610) duplicated block id: 469 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (171:177) - sparseconvnet/SCN/CUDA/Convolution.cu (492:498) duplicated block id: 470 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (75:80) - sparseconvnet/SCN/CUDA/Deconvolution.cu (466:471) duplicated block id: 471 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/MaxPooling.cpp (19:25) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (63:69) duplicated block id: 472 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (126:132) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (50:56) duplicated block id: 473 size: 6 cleaned lines of code in 2 files: - sparseconvnet/batchNormalization.py (133:139) - sparseconvnet/networkInNetwork.py (33:39) duplicated block id: 474 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (630:635) - sparseconvnet/SCN/CUDA/Deconvolution.cu (580:585) duplicated block id: 475 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (306:312) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (466:472) duplicated block id: 476 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (253:259) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (380:386) duplicated block id: 477 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (574:579) - sparseconvnet/SCN/CUDA/Deconvolution.cu (321:326) duplicated block id: 478 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/ActivePooling.cu (1:7) - sparseconvnet/SCN/CUDA/LeakyReLU.cu (1:7) duplicated block id: 479 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (218:224) - sparseconvnet/SCN/CUDA/Deconvolution.cu (170:176) duplicated block id: 480 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (273:279) - sparseconvnet/SCN/CUDA/Deconvolution.cu (470:476) duplicated block id: 481 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (39:45) - sparseconvnet/SCN/CPU/MaxPooling.cpp (91:97) duplicated block id: 482 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (213:219) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (318:324) duplicated block id: 483 size: 6 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (122:127) - sparseconvnet/fullConvolution.py (112:117) duplicated block id: 484 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (234:239) - sparseconvnet/SCN/sparseconvnet_cpu.cpp (407:412) duplicated block id: 485 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (351:357) - sparseconvnet/SCN/CUDA/Deconvolution.cu (499:505) duplicated block id: 486 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (155:160) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (416:421) duplicated block id: 487 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (95:100) - sparseconvnet/SCN/sparseconvnet.h (157:162) duplicated block id: 488 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/IOLayers.cpp (46:52) - sparseconvnet/SCN/CUDA/IOLayers.cpp (95:101) duplicated block id: 489 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (333:338) - sparseconvnet/SCN/CPU/Deconvolution.cpp (9:14) duplicated block id: 490 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (105:111) - sparseconvnet/SCN/CUDA/Deconvolution.cu (419:425) duplicated block id: 491 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (86:91) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (246:251) duplicated block id: 492 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/ConvolutionRules.h (68:75) - sparseconvnet/SCN/Metadata/RandomizedStrideRules.h (137:144) duplicated block id: 493 size: 6 cleaned lines of code in 2 files: - sparseconvnet/networkArchitectures.py (38:43) - sparseconvnet/networkArchitectures.py (53:58) duplicated block id: 494 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/IOLayersRules.h (181:186) - sparseconvnet/SCN/Metadata/IOLayersRules.h (245:250) duplicated block id: 495 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AveragePooling.cu (1:7) - sparseconvnet/SCN/CUDA/Convolution.cu (1:7) duplicated block id: 496 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (520:526) - sparseconvnet/SCN/CUDA/Deconvolution.cu (273:279) duplicated block id: 497 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AveragePooling.cpp (21:27) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (63:69) duplicated block id: 498 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (141:146) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (384:389) duplicated block id: 499 size: 6 cleaned lines of code in 2 files: - sparseconvnet/networkArchitectures.py (38:43) - sparseconvnet/networkArchitectures.py (83:88) duplicated block id: 500 size: 6 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (114:119) - sparseconvnet/submanifoldConvolution.py (89:94) duplicated block id: 501 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (123:129) - sparseconvnet/SCN/CUDA/Deconvolution.cu (442:448) duplicated block id: 502 size: 6 cleaned lines of code in 2 files: - sparseconvnet/tables.py (14:20) - sparseconvnet/tables.py (29:35) duplicated block id: 503 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (234:239) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (622:627) duplicated block id: 504 size: 6 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (145:150) - sparseconvnet/shapeContext.py (102:107) duplicated block id: 505 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/AveragePooling.cpp (69:75) - sparseconvnet/SCN/CPU/MaxPooling.cpp (69:75) duplicated block id: 506 size: 6 cleaned lines of code in 2 files: - sparseconvnet/fullConvolution.py (145:150) - sparseconvnet/permutohedralSubmanifoldConvolution.py (105:110) duplicated block id: 507 size: 6 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (88:93) - sparseconvnet/deconvolution.py (122:127) duplicated block id: 508 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (301:307) - sparseconvnet/SCN/CUDA/Deconvolution.cu (499:505) duplicated block id: 509 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/Convolution.cpp (333:338) - sparseconvnet/SCN/CUDA/Deconvolution.cpp (22:27) duplicated block id: 510 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/ConvolutionRules.h (53:61) - sparseconvnet/SCN/Metadata/FullConvolutionRules.h (51:59) duplicated block id: 511 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (129:134) - sparseconvnet/SCN/CPU/IOLayers.cpp (224:229) duplicated block id: 512 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (91:97) - sparseconvnet/SCN/CUDA/UnPooling.cpp (18:24) duplicated block id: 513 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AveragePooling.cpp (48:54) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (45:51) duplicated block id: 514 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (272:278) - sparseconvnet/SCN/CUDA/Deconvolution.cu (499:505) duplicated block id: 515 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (321:326) - sparseconvnet/SCN/CUDA/Deconvolution.cu (524:529) duplicated block id: 516 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (74:80) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (94:100) duplicated block id: 517 size: 6 cleaned lines of code in 2 files: - sparseconvnet/averagePooling.py (101:107) - sparseconvnet/deconvolution.py (128:134) duplicated block id: 518 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/AveragePooling.cpp (69:75) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (45:51) duplicated block id: 519 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Deconvolution.cu (75:80) - sparseconvnet/SCN/CUDA/Deconvolution.cu (150:155) duplicated block id: 520 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (140:146) - sparseconvnet/SCN/CUDA/IOLayers.cpp (121:127) duplicated block id: 521 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (123:128) - sparseconvnet/SCN/CUDA/Convolution.cu (198:203) duplicated block id: 522 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet.h (73:78) - sparseconvnet/SCN/sparseconvnet_cpu.cpp (143:148) duplicated block id: 523 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (14:20) - sparseconvnet/SCN/CPU/IOLayers.cpp (33:39) duplicated block id: 524 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (342:348) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (522:528) duplicated block id: 525 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (1:7) - sparseconvnet/SCN/CUDA/MaxPooling.cu (1:7) duplicated block id: 526 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/IOLayersRules.h (195:200) - sparseconvnet/SCN/Metadata/IOLayersRules.h (245:250) duplicated block id: 527 size: 6 cleaned lines of code in 2 files: - sparseconvnet/convolution.py (120:125) - sparseconvnet/fullConvolution.py (145:150) duplicated block id: 528 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (468:473) - sparseconvnet/SCN/CUDA/Deconvolution.cu (498:503) duplicated block id: 529 size: 6 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (128:134) - sparseconvnet/maxPooling.py (46:52) duplicated block id: 530 size: 6 cleaned lines of code in 2 files: - sparseconvnet/ioLayers.py (184:190) - sparseconvnet/ioLayers.py (245:251) duplicated block id: 531 size: 6 cleaned lines of code in 2 files: - sparseconvnet/deconvolution.py (149:154) - sparseconvnet/fullConvolution.py (145:150) duplicated block id: 532 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (153:159) - sparseconvnet/SCN/CUDA/Convolution.cu (469:475) duplicated block id: 533 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/sparseconvnet_cpu.cpp (328:334) - sparseconvnet/SCN/sparseconvnet_cuda.cpp (500:506) duplicated block id: 534 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (51:57) - sparseconvnet/SCN/CUDA/IOLayers.cpp (19:25) duplicated block id: 535 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (83:89) - sparseconvnet/SCN/CUDA/Convolution.cu (469:475) duplicated block id: 536 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/AffineReluTrivialConvolution.cu (151:157) - sparseconvnet/SCN/CUDA/Deconvolution.cu (153:159) duplicated block id: 537 size: 6 cleaned lines of code in 2 files: - sparseconvnet/batchNormalization.py (115:120) - sparseconvnet/batchNormalization.py (154:159) duplicated block id: 538 size: 6 cleaned lines of code in 2 files: - sparseconvnet/batchNormalization.py (94:99) - sparseconvnet/permutohedralSubmanifoldConvolution.py (67:72) duplicated block id: 539 size: 6 cleaned lines of code in 2 files: - sparseconvnet/permutohedralSubmanifoldConvolution.py (38:44) - sparseconvnet/submanifoldConvolution.py (24:30) duplicated block id: 540 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/MaxPooling.cpp (39:45) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (63:69) duplicated block id: 541 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/NetworkInNetwork.cpp (30:36) - sparseconvnet/SCN/CUDA/NetworkInNetwork.cpp (33:40) duplicated block id: 542 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/Metadata/ConvolutionRules.h (24:36) - sparseconvnet/SCN/Metadata/FullConvolutionRules.h (24:36) duplicated block id: 543 size: 6 cleaned lines of code in 2 files: - sparseconvnet/batchNormalization.py (94:99) - sparseconvnet/randomizedStrideConvolution.py (84:89) duplicated block id: 544 size: 6 cleaned lines of code in 2 files: - sparseconvnet/batchNormalization.py (94:99) - sparseconvnet/shapeContext.py (61:66) duplicated block id: 545 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/UnPooling.cpp (36:42) - sparseconvnet/SCN/CUDA/MaxPooling.cpp (63:69) duplicated block id: 546 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (123:128) - sparseconvnet/SCN/CUDA/Deconvolution.cu (150:155) duplicated block id: 547 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (62:67) - sparseconvnet/SCN/CUDA/IOLayers.cpp (30:35) duplicated block id: 548 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (492:498) - sparseconvnet/SCN/CUDA/Deconvolution.cu (123:129) duplicated block id: 549 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/BatchNormalization.cu (68:73) - sparseconvnet/SCN/CUDA/BatchNormalization.cu (96:102) duplicated block id: 550 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CUDA/Convolution.cu (83:89) - sparseconvnet/SCN/CUDA/Deconvolution.cu (419:425) duplicated block id: 551 size: 6 cleaned lines of code in 2 files: - sparseconvnet/batchNormalization.py (94:99) - sparseconvnet/deconvolution.py (92:97) duplicated block id: 552 size: 6 cleaned lines of code in 2 files: - sparseconvnet/SCN/CPU/IOLayers.cpp (60:65) - sparseconvnet/SCN/CUDA/IOLayers.cpp (78:83)