duplicated block id: 1 size: 133 cleaned lines of code in 2 files: - segmentation/tool/train.py (149:297) - segmentation/tool/train_cnsn.py (155:303) duplicated block id: 2 size: 126 cleaned lines of code in 2 files: - segmentation/tool/train.py (298:439) - segmentation/tool/train_cnsn.py (314:455) duplicated block id: 3 size: 110 cleaned lines of code in 2 files: - models/cnsn.py (8:164) - segmentation/model/cnsn.py (8:164) duplicated block id: 4 size: 71 cleaned lines of code in 2 files: - segmentation/tool/train.py (63:141) - segmentation/tool/train_cnsn.py (63:141) duplicated block id: 5 size: 51 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (8:81) - segmentation/model/resnet.py (3:74) duplicated block id: 6 size: 46 cleaned lines of code in 2 files: - cifar.py (25:70) - imagenet.py (20:65) duplicated block id: 7 size: 33 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (160:213) - segmentation/model/resnet.py (74:123) duplicated block id: 8 size: 30 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (326:411) - segmentation/model/resnet.py (267:344) duplicated block id: 9 size: 28 cleaned lines of code in 2 files: - segmentation/tool/train.py (24:61) - segmentation/tool/train_cnsn.py (24:61) duplicated block id: 10 size: 21 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (65:91) - models/imagenet/resnet_ibn_cnsn.py (71:96) duplicated block id: 11 size: 19 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (8:34) - segmentation/model/resnet.py (8:34) duplicated block id: 12 size: 19 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (8:34) - segmentation/model/cnsn_resnet.py (15:41) duplicated block id: 13 size: 19 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (126:145) - models/cifar/densenet_cnsn.py (184:203) duplicated block id: 14 size: 18 cleaned lines of code in 2 files: - segmentation/config/gtav/gtav_fcn50.yaml (39:57) - segmentation/config/gtav/gtav_fcn50_cnsn.yaml (49:67) duplicated block id: 15 size: 18 cleaned lines of code in 2 files: - segmentation/model/psanet.py (137:155) - segmentation/model/pspnet.py (65:83) duplicated block id: 16 size: 18 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (135:158) - models/cifar/wideresnet_cnsn.py (187:208) duplicated block id: 17 size: 18 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (240:266) - models/imagenet/resnet_ibn_cnsn.py (220:245) duplicated block id: 18 size: 16 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (134:152) - segmentation/model/resnet.py (133:151) duplicated block id: 19 size: 15 cleaned lines of code in 2 files: - cifar.py (227:246) - imagenet.py (361:381) duplicated block id: 20 size: 14 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (99:117) - models/imagenet/resnet_ibn_cnsn.py (102:120) duplicated block id: 21 size: 14 cleaned lines of code in 2 files: - segmentation/model/psanet.py (167:184) - segmentation/model/pspnet.py (95:112) duplicated block id: 22 size: 14 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (34:52) - models/cifar/allconv_cnsn.py (55:73) duplicated block id: 23 size: 13 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (49:62) - segmentation/model/cnsn_resnet.py (226:239) duplicated block id: 24 size: 13 cleaned lines of code in 2 files: - cifar.py (275:289) - imagenet.py (409:423) duplicated block id: 25 size: 13 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (320:335) - segmentation/model/resnet.py (131:146) duplicated block id: 26 size: 13 cleaned lines of code in 2 files: - cifar.py (173:188) - imagenet.py (291:306) duplicated block id: 27 size: 13 cleaned lines of code in 2 files: - segmentation/util/util.py (78:93) - utils.py (45:60) duplicated block id: 28 size: 13 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (91:104) - segmentation/model/resnet.py (43:56) duplicated block id: 29 size: 13 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (50:63) - segmentation/model/cnsn_resnet.py (91:104) duplicated block id: 30 size: 12 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (213:225) - segmentation/model/resnet.py (180:192) duplicated block id: 31 size: 12 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (50:62) - segmentation/model/cnsn_resnet.py (179:191) duplicated block id: 32 size: 12 cleaned lines of code in 2 files: - segmentation/config/gtav/gtav_fcn50.yaml (22:33) - segmentation/config/gtav/gtav_fcn50_cnsn.yaml (22:33) duplicated block id: 33 size: 12 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (50:62) - segmentation/model/resnet.py (89:101) duplicated block id: 34 size: 12 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (227:239) - segmentation/model/resnet.py (89:101) duplicated block id: 35 size: 12 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (213:225) - segmentation/model/cnsn_resnet.py (415:427) duplicated block id: 36 size: 12 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (95:110) - segmentation/model/cnsn_resnet.py (278:293) duplicated block id: 37 size: 12 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (256:270) - segmentation/model/resnet.py (205:219) duplicated block id: 38 size: 12 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (415:427) - segmentation/model/resnet.py (180:192) duplicated block id: 39 size: 12 cleaned lines of code in 2 files: - segmentation/model/psanet.py (121:134) - segmentation/model/pspnet.py (49:62) duplicated block id: 40 size: 12 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (179:191) - segmentation/model/cnsn_resnet.py (227:239) duplicated block id: 41 size: 11 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (134:147) - segmentation/model/cnsn_resnet.py (322:335) duplicated block id: 42 size: 11 cleaned lines of code in 2 files: - segmentation/config/gtav/gtav_fcn50.yaml (10:20) - segmentation/config/gtav/gtav_fcn50_cnsn.yaml (10:20) duplicated block id: 43 size: 11 cleaned lines of code in 2 files: - imagenet.py (162:179) - imagenet.py (218:235) duplicated block id: 44 size: 10 cleaned lines of code in 2 files: - models/imagenet/resnet_ibn_cnsn.py (101:113) - segmentation/model/resnet.py (106:118) duplicated block id: 45 size: 10 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (193:203) - models/cifar/resnext_cnsn.py (174:184) duplicated block id: 46 size: 10 cleaned lines of code in 2 files: - models/imagenet/resnet_ibn_cnsn.py (101:113) - segmentation/model/cnsn_resnet.py (196:208) duplicated block id: 47 size: 10 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (174:184) - models/cifar/wideresnet_cnsn.py (187:197) duplicated block id: 48 size: 10 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (193:203) - models/cifar/wideresnet_cnsn.py (187:197) duplicated block id: 49 size: 10 cleaned lines of code in 2 files: - cifar.py (453:463) - imagenet.py (581:591) duplicated block id: 50 size: 10 cleaned lines of code in 2 files: - cifar.py (71:84) - imagenet.py (68:82) duplicated block id: 51 size: 10 cleaned lines of code in 2 files: - imagenet.py (146:157) - imagenet.py (198:209) duplicated block id: 52 size: 10 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (135:145) - models/cifar/resnext_cnsn.py (174:184) duplicated block id: 53 size: 9 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (126:134) - models/cifar/resnext_cnsn.py (164:172) duplicated block id: 54 size: 9 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (99:110) - segmentation/model/cnsn_resnet.py (197:208) duplicated block id: 55 size: 9 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (184:192) - models/cifar/resnext_cnsn.py (164:172) duplicated block id: 56 size: 9 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (282:293) - segmentation/model/resnet.py (107:118) duplicated block id: 57 size: 9 cleaned lines of code in 2 files: - models/imagenet/resnet_ibn_cnsn.py (235:245) - segmentation/model/resnet.py (205:215) duplicated block id: 58 size: 9 cleaned lines of code in 2 files: - segmentation/model/resnet.py (55:66) - segmentation/model/resnet.py (100:111) duplicated block id: 59 size: 9 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (99:110) - segmentation/model/resnet.py (107:118) duplicated block id: 60 size: 9 cleaned lines of code in 2 files: - models/imagenet/resnet_ibn_cnsn.py (102:113) - segmentation/model/cnsn_resnet.py (282:293) duplicated block id: 61 size: 9 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (190:201) - segmentation/model/resnet.py (55:66) duplicated block id: 62 size: 9 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (62:73) - segmentation/model/resnet.py (100:111) duplicated block id: 63 size: 9 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (216:229) - models/imagenet/resnet_ibn_cnsn.py (220:233) duplicated block id: 64 size: 9 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (216:229) - models/imagenet/resnet_cnsn.py (240:254) duplicated block id: 65 size: 9 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (211:224) - models/imagenet/resnet_ibn_cnsn.py (220:233) duplicated block id: 66 size: 9 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (218:231) - models/cifar/wideresnet_cnsn.py (199:211) duplicated block id: 67 size: 9 cleaned lines of code in 2 files: - cifar.py (418:426) - imagenet.py (540:548) duplicated block id: 68 size: 9 cleaned lines of code in 2 files: - cifar.py (429:438) - imagenet.py (551:563) duplicated block id: 69 size: 9 cleaned lines of code in 2 files: - cifar.py (102:114) - cifar.py (133:145) duplicated block id: 70 size: 9 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (216:229) - models/cifar/resnext_cnsn.py (211:224) duplicated block id: 71 size: 9 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (197:208) - segmentation/model/cnsn_resnet.py (282:293) duplicated block id: 72 size: 9 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (211:224) - models/imagenet/resnet_cnsn.py (240:254) duplicated block id: 73 size: 9 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (62:73) - segmentation/model/cnsn_resnet.py (190:201) duplicated block id: 74 size: 8 cleaned lines of code in 2 files: - imagenet.py (291:300) - imagenet.py (367:376) duplicated block id: 75 size: 8 cleaned lines of code in 2 files: - models/cifar/wideresnet_cnsn.py (43:52) - models/imagenet/resnet_ibn_cnsn.py (71:80) duplicated block id: 76 size: 8 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (147:158) - models/imagenet/resnet_ibn_cnsn.py (222:233) duplicated block id: 77 size: 8 cleaned lines of code in 2 files: - cifar.py (233:242) - imagenet.py (291:300) duplicated block id: 78 size: 8 cleaned lines of code in 2 files: - cifar.py (173:182) - cifar.py (233:242) duplicated block id: 79 size: 8 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (60:69) - models/imagenet/resnet_ibn_cnsn.py (71:80) duplicated block id: 80 size: 8 cleaned lines of code in 2 files: - models/cifar/wideresnet_cnsn.py (199:208) - models/imagenet/resnet_ibn_cnsn.py (222:233) duplicated block id: 81 size: 8 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (164:171) - models/cifar/wideresnet_cnsn.py (178:185) duplicated block id: 82 size: 8 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (79:88) - models/imagenet/resnet_cnsn.py (65:74) duplicated block id: 83 size: 8 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (285:306) - segmentation/model/resnet.py (234:253) duplicated block id: 84 size: 8 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (147:158) - models/cifar/resnext_cnsn.py (213:224) duplicated block id: 85 size: 8 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (151:161) - models/imagenet/resnet_ibn_cnsn.py (148:159) duplicated block id: 86 size: 8 cleaned lines of code in 2 files: - cifar.py (173:182) - imagenet.py (367:376) duplicated block id: 87 size: 8 cleaned lines of code in 2 files: - models/cifar/wideresnet_cnsn.py (199:208) - models/imagenet/resnet_cnsn.py (242:254) duplicated block id: 88 size: 8 cleaned lines of code in 2 files: - imagenet.py (182:192) - imagenet.py (238:250) duplicated block id: 89 size: 8 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (60:69) - models/imagenet/resnet_cnsn.py (65:74) duplicated block id: 90 size: 8 cleaned lines of code in 2 files: - models/cifar/wideresnet_cnsn.py (43:52) - models/imagenet/resnet_cnsn.py (65:74) duplicated block id: 91 size: 8 cleaned lines of code in 2 files: - imagenet.py (222:233) - imagenet.py (314:324) duplicated block id: 92 size: 8 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (60:69) - models/cifar/wideresnet_cnsn.py (43:52) duplicated block id: 93 size: 8 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (184:191) - models/cifar/wideresnet_cnsn.py (178:185) duplicated block id: 94 size: 8 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (147:158) - models/imagenet/resnet_cnsn.py (242:254) duplicated block id: 95 size: 8 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (147:158) - models/cifar/densenet_cnsn.py (218:229) duplicated block id: 96 size: 8 cleaned lines of code in 2 files: - imagenet.py (166:177) - imagenet.py (314:324) duplicated block id: 97 size: 8 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (79:88) - models/cifar/wideresnet_cnsn.py (43:52) duplicated block id: 98 size: 8 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (126:133) - models/cifar/wideresnet_cnsn.py (178:185) duplicated block id: 99 size: 8 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (79:88) - models/cifar/resnext_cnsn.py (60:69) duplicated block id: 100 size: 8 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (194:205) - segmentation/model/cnsn_resnet.py (396:408) duplicated block id: 101 size: 8 cleaned lines of code in 2 files: - imagenet.py (324:334) - imagenet.py (393:406) duplicated block id: 102 size: 8 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (79:88) - models/imagenet/resnet_ibn_cnsn.py (71:80) duplicated block id: 103 size: 8 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (213:224) - models/cifar/wideresnet_cnsn.py (199:208) duplicated block id: 104 size: 7 cleaned lines of code in 2 files: - segmentation/config/gtav/gtav_fcn50.yaml (1:8) - segmentation/config/gtav/gtav_fcn50_cnsn.yaml (1:8) duplicated block id: 105 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (57:64) - models/cifar/densenet_cnsn.py (81:88) duplicated block id: 106 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (36:43) - models/imagenet/resnet_cnsn.py (67:74) duplicated block id: 107 size: 7 cleaned lines of code in 2 files: - segmentation/model/psanet.py (157:164) - segmentation/model/pspnet.py (85:92) duplicated block id: 108 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (57:64) - models/imagenet/resnet_cnsn.py (67:74) duplicated block id: 109 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (78:85) - models/cifar/resnext_cnsn.py (62:69) duplicated block id: 110 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (57:64) - models/cifar/resnext_cnsn.py (62:69) duplicated block id: 111 size: 7 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (27:35) - models/imagenet/resnet_ibn_cnsn.py (71:79) duplicated block id: 112 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (36:43) - models/cifar/wideresnet_cnsn.py (45:52) duplicated block id: 113 size: 7 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (27:35) - models/imagenet/resnet_cnsn.py (65:73) duplicated block id: 114 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (78:85) - models/imagenet/resnet_cnsn.py (67:74) duplicated block id: 115 size: 7 cleaned lines of code in 2 files: - segmentation/model/psanet.py (112:119) - segmentation/model/pspnet.py (38:45) duplicated block id: 116 size: 7 cleaned lines of code in 2 files: - cifar.py (499:505) - imagenet.py (630:636) duplicated block id: 117 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (36:43) - models/imagenet/resnet_ibn_cnsn.py (73:80) duplicated block id: 118 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (57:64) - models/imagenet/resnet_ibn_cnsn.py (73:80) duplicated block id: 119 size: 7 cleaned lines of code in 2 files: - cifar.py (488:495) - imagenet.py (619:626) duplicated block id: 120 size: 7 cleaned lines of code in 2 files: - segmentation/tool/train.py (140:146) - segmentation/tool/train_cnsn.py (145:152) duplicated block id: 121 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (78:85) - models/imagenet/resnet_ibn_cnsn.py (73:80) duplicated block id: 122 size: 7 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (27:35) - models/cifar/wideresnet_cnsn.py (43:51) duplicated block id: 123 size: 7 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (27:35) - models/cifar/densenet_cnsn.py (79:87) duplicated block id: 124 size: 7 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (27:35) - models/cifar/resnext_cnsn.py (60:68) duplicated block id: 125 size: 7 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (183:189) - segmentation/model/cnsn_resnet.py (382:389) duplicated block id: 126 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (36:43) - models/cifar/densenet_cnsn.py (81:88) duplicated block id: 127 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (78:85) - models/cifar/wideresnet_cnsn.py (45:52) duplicated block id: 128 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (78:85) - models/cifar/densenet_cnsn.py (81:88) duplicated block id: 129 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (36:43) - models/cifar/resnext_cnsn.py (62:69) duplicated block id: 130 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (57:64) - models/cifar/wideresnet_cnsn.py (45:52) duplicated block id: 131 size: 7 cleaned lines of code in 2 files: - models/imagenet/resnet_ibn_cnsn.py (235:242) - segmentation/model/cnsn_resnet.py (456:463) duplicated block id: 132 size: 7 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (256:263) - segmentation/model/cnsn_resnet.py (456:463) duplicated block id: 133 size: 7 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (40:47) - models/cifar/densenet_cnsn.py (91:99) duplicated block id: 134 size: 7 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (109:117) - segmentation/model/cnsn_resnet.py (145:154) duplicated block id: 135 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (57:64) - models/cifar/allconv_cnsn.py (78:85) duplicated block id: 136 size: 7 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (36:43) - models/cifar/allconv_cnsn.py (78:85) duplicated block id: 137 size: 7 cleaned lines of code in 2 files: - models/imagenet/resnet_ibn_cnsn.py (112:120) - segmentation/model/cnsn_resnet.py (145:154) duplicated block id: 138 size: 7 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (456:463) - segmentation/model/resnet.py (205:212) duplicated block id: 139 size: 6 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (140:145) - models/imagenet/resnet_cnsn.py (194:199) duplicated block id: 140 size: 6 cleaned lines of code in 2 files: - segmentation/tool/train.py (362:367) - segmentation/tool/train_cnsn.py (441:446) duplicated block id: 141 size: 6 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (124:131) - segmentation/model/cnsn_resnet.py (267:274) duplicated block id: 142 size: 6 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (57:63) - models/cifar/densenet_cnsn.py (29:35) duplicated block id: 143 size: 6 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (216:223) - segmentation/model/cnsn_resnet.py (436:444) duplicated block id: 144 size: 6 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (50:58) - models/cifar/densenet_cnsn.py (102:110) duplicated block id: 145 size: 6 cleaned lines of code in 2 files: - segmentation/tool/train.py (362:367) - segmentation/tool/train.py (425:430) duplicated block id: 146 size: 6 cleaned lines of code in 2 files: - models/cifar/wideresnet_cnsn.py (192:197) - models/imagenet/resnet_cnsn.py (194:199) duplicated block id: 147 size: 6 cleaned lines of code in 2 files: - segmentation/tool/train.py (315:321) - segmentation/tool/train.py (404:410) duplicated block id: 148 size: 6 cleaned lines of code in 2 files: - segmentation/tool/train.py (404:410) - segmentation/tool/train_cnsn.py (331:337) duplicated block id: 149 size: 6 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (179:184) - models/imagenet/resnet_cnsn.py (194:199) duplicated block id: 150 size: 6 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (211:218) - segmentation/model/cnsn_resnet.py (436:444) duplicated block id: 151 size: 6 cleaned lines of code in 2 files: - segmentation/tool/train_cnsn.py (331:337) - segmentation/tool/train_cnsn.py (420:426) duplicated block id: 152 size: 6 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (198:203) - models/imagenet/resnet_cnsn.py (194:199) duplicated block id: 153 size: 6 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (407:412) - segmentation/model/resnet.py (172:177) duplicated block id: 154 size: 6 cleaned lines of code in 2 files: - segmentation/tool/train_cnsn.py (378:383) - segmentation/tool/train_cnsn.py (441:446) duplicated block id: 155 size: 6 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (139:146) - segmentation/model/resnet.py (62:69) duplicated block id: 156 size: 6 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (140:145) - segmentation/model/cnsn_resnet.py (396:401) duplicated block id: 157 size: 6 cleaned lines of code in 2 files: - models/cifar/resnext_cnsn.py (179:184) - segmentation/model/cnsn_resnet.py (396:401) duplicated block id: 158 size: 6 cleaned lines of code in 2 files: - segmentation/tool/train.py (315:321) - segmentation/tool/train_cnsn.py (420:426) duplicated block id: 159 size: 6 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (78:84) - models/cifar/densenet_cnsn.py (29:35) duplicated block id: 160 size: 6 cleaned lines of code in 2 files: - segmentation/model/fcn.py (46:53) - segmentation/model/fcn.py (118:126) duplicated block id: 161 size: 6 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (69:76) - segmentation/model/cnsn_resnet.py (139:146) duplicated block id: 162 size: 6 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (184:189) - segmentation/model/resnet.py (162:167) duplicated block id: 163 size: 6 cleaned lines of code in 2 files: - cifar.py (157:165) - imagenet.py (204:214) duplicated block id: 164 size: 6 cleaned lines of code in 2 files: - models/imagenet/resnet_cnsn.py (240:247) - segmentation/model/cnsn_resnet.py (436:444) duplicated block id: 165 size: 6 cleaned lines of code in 2 files: - models/imagenet/resnet_ibn_cnsn.py (220:227) - segmentation/model/cnsn_resnet.py (436:444) duplicated block id: 166 size: 6 cleaned lines of code in 2 files: - segmentation/model/cnsn_resnet.py (384:389) - segmentation/model/resnet.py (162:167) duplicated block id: 167 size: 6 cleaned lines of code in 2 files: - models/cifar/allconv_cnsn.py (36:42) - models/cifar/densenet_cnsn.py (29:35) duplicated block id: 168 size: 6 cleaned lines of code in 2 files: - models/cifar/wideresnet_cnsn.py (53:58) - segmentation/model/cnsn_resnet.py (115:120) duplicated block id: 169 size: 6 cleaned lines of code in 2 files: - segmentation/tool/train.py (425:430) - segmentation/tool/train_cnsn.py (378:383) duplicated block id: 170 size: 6 cleaned lines of code in 2 files: - models/cifar/densenet_cnsn.py (198:203) - segmentation/model/cnsn_resnet.py (396:401) duplicated block id: 171 size: 6 cleaned lines of code in 2 files: - cifar.py (300:305) - cifar.py (368:373) duplicated block id: 172 size: 6 cleaned lines of code in 2 files: - models/cifar/wideresnet_cnsn.py (192:197) - segmentation/model/cnsn_resnet.py (396:401)