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Functions207 in github.com/1998v7/SNSCL

⨍ Functions 207◇ Types & classes 71
↓ 26 callersMethod__init__
(self, num_classes=10, scale=1.0)
Asym_loss.py:85
↓ 23 callersMethod__init__
(self, train_loader, num_classes, ln_neg=1)
APL_loss.py:259
↓ 9 callersFunction_float_parameter
(v, max_v)
dataloader/randaugment.py:135
↓ 4 callersFunction_int_parameter
(v, max_v)
dataloader/randaugment.py:139
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1)
models/resnet.py:134
↓ 4 callersMethodrun
(self, mode, choice=None, confident=None)
dataloader/select_helper.py:42
↓ 3 callersFunctionCutoutAbs
(img, v, **kwarg)
dataloader/randaugment.py:43
↓ 3 callersMethod__init__
(self, block, layers, projector_dim=1000, in_channel=3, width=1)
models/resnet.py:101
↓ 3 callersFunctionpprint
(context, log_name)
helpers.py:33
↓ 2 callersMethod__init__
(self)
helpers.py:154
↓ 2 callersMethod_dequeue_and_enqueue
(self, key_c, c, w_u=None)
src/contrastive_l.py:58
↓ 2 callersFunctionconv3x3
3x3 convolution with padding
models/resnet.py:17
↓ 2 callersFunctionget_lossf
(args)
helpers.py:85
↓ 2 callersMethodload_data
(self, data)
dataloader/cub_loader.py:61
↓ 2 callersMethodmake_projector
(self, feature)
models/resnet.py:131
↓ 2 callersMethodsampler
(self, feature)
src/contrastive_l.py:11
↓ 2 callersFunctionset_env
(args)
helpers.py:10
↓ 1 callersMethod__init__
(self, network, backbone, queue_size=32, projector_dim=256, feature_dim=256, class_num=200, m
src/contrastive_l.py:24
↓ 1 callersMethod_load_metadata
(self)
dataloader/cub_loader.py:41
↓ 1 callersMethod_momentum_update_key_encoder
(self)
src/contrastive_l.py:53
↓ 1 callersMethodbuild_noise
(self, image_path, targets)
dataloader/cub_loader.py:72
↓ 1 callersFunctioneval_train
(my_model, classifier, eval_loader)
Vanilla_w_SNSCL.py:86
↓ 1 callersMethodfeature_len
(self)
models/resnet.py:128
↓ 1 callersMethodfind_classes
(self)
dataloader/aircraft_loader.py:163
↓ 1 callersFunctionfixmatch_augment_pool
()
dataloader/randaugment.py:143
↓ 1 callersFunctionget_cls_layer
(args)
models/backbone.py:15
↓ 1 callersFunctionget_dataloader
(args)
helpers.py:41
↓ 1 callersFunctionget_logger
(args)
helpers.py:172
↓ 1 callersFunctionload_network
(backbone)
models/backbone.py:22
↓ 1 callersMethodload_noise
(self, samples)
dataloader/aircraft_loader.py:58
↓ 1 callersMethodload_noise
(self, labels)
dataloader/dogs_loader.py:51
↓ 1 callersMethodload_noise
(self, samples)
dataloader/car_loader.py:56
↓ 1 callersMethodload_pretrained
(self, network)
src/contrastive_l.py:131
↓ 1 callersMethodload_split
(self)
dataloader/dogs_loader.py:117
↓ 1 callersMethodmake_dataset
(self, image_ids, targets)
dataloader/aircraft_loader.py:114
↓ 1 callersFunctionmy_augment_pool
()
dataloader/randaugment.py:162
↓ 1 callersMethodselect_by_index
(self, image_path, label, selected_index)
dataloader/cub_loader.py:33
↓ 1 callersMethodselect_by_index
(self, samples, selected_index)
dataloader/aircraft_loader.py:51
↓ 1 callersMethodselect_by_index
(self, samples, selected_index)
dataloader/dogs_loader.py:44
↓ 1 callersMethodselect_by_index
(self, samples, selected_index)
dataloader/car_loader.py:49
↓ 1 callersMethodstats
(self)
dataloader/dogs_loader.py:129
↓ 1 callersFunctiontest
(epoch, my_model, classifier, test_loader)
Vanilla_w_SNSCL.py:67
↓ 1 callersFunctiontrain
(epoch, my_model, classifier, optimizer, labeled_trainloader, unlabeled_trainloader)
Vanilla_w_SNSCL.py:117
↓ 1 callersFunctionwarmup
(my_model, classifier, optimizer, dataloader)
Vanilla_w_SNSCL.py:48
FunctionAutoContrast
(img, **kwarg)
dataloader/randaugment.py:16
FunctionBrightness
(img, v, max_v, bias=0)
dataloader/randaugment.py:20
FunctionColor
(img, v, max_v, bias=0)
dataloader/randaugment.py:25
FunctionContrast
(img, v, max_v, bias=0)
dataloader/randaugment.py:30
FunctionCutout
(img, v, max_v, bias=0)
dataloader/randaugment.py:35
FunctionEqualize
(img, **kwarg)
dataloader/randaugment.py:59
FunctionIdentity
(img, **kwarg)
dataloader/randaugment.py:63
FunctionInvert
(img, **kwarg)
dataloader/randaugment.py:67
FunctionPosterize
(img, v, max_v, bias=0)
dataloader/randaugment.py:71
FunctionRotate
(img, v, max_v, bias=0)
dataloader/randaugment.py:76
FunctionSharpness
(img, v, max_v, bias=0)
dataloader/randaugment.py:83
FunctionShearX
(img, v, max_v, bias=0)
dataloader/randaugment.py:88
FunctionShearY
(img, v, max_v, bias=0)
dataloader/randaugment.py:95
FunctionSolarize
(img, v, max_v, bias=0)
dataloader/randaugment.py:102
FunctionSolarizeAdd
(img, v, max_v, bias=0, threshold=128)
dataloader/randaugment.py:107
FunctionTranslateX
(img, v, max_v, bias=0)
dataloader/randaugment.py:119
FunctionTranslateY
(img, v, max_v, bias=0)
dataloader/randaugment.py:127
Method__call__
(self, img)
dataloader/randaugment.py:191
Method__call__
(self, img)
dataloader/randaugment.py:209
Method__call__
(self, img)
dataloader/randaugment.py:234
Method__call__
Args: img (PIL.Image): Image to be cropped. Returns: PIL.Image: Cropped image.
dataloader/randaugment.py:255
Method__call__
Args: img (PIL.Image): Image to be flipped. Returns: PIL.Image: Randomly flipped image.
dataloader/randaugment.py:269
Method__getitem__
(self, idx)
dataloader/cub_loader.py:122
Method__getitem__
(self, index)
dataloader/aircraft_loader.py:138
Method__getitem__
(self, index)
dataloader/dogs_loader.py:94
Method__getitem__
(self, index)
dataloader/car_loader.py:113
Method__init__
(self, alpha, beta, num_classes=10)
APL_loss.py:9
Method__init__
(self, num_classes, scale=1.0)
APL_loss.py:36
Method__init__
(self, num_classes, scale=1.0)
APL_loss.py:52
Method__init__
(self, num_classes, scale=1.0)
APL_loss.py:69
Method__init__
(self, num_classes, q=0.7)
APL_loss.py:83
Method__init__
(self, num_classes, scale=1.0, q=0.7)
APL_loss.py:99
Method__init__
(self, num_classes, scale=1.0)
APL_loss.py:118
Method__init__
(self, num_classes, scale=1.0)
APL_loss.py:134
Method__init__
(self, alpha, beta, num_classes)
APL_loss.py:151
Method__init__
(self, alpha, beta, num_classes)
APL_loss.py:163
Method__init__
(self, alpha, beta, num_classes, q=0.7)
APL_loss.py:175
Method__init__
(self, alpha, beta, num_classes, q=0.7)
APL_loss.py:187
Method__init__
(self, alpha, beta, num_classes, q=0.7)
APL_loss.py:199
Method__init__
(self, alpha, beta, num_classes, q=0.7)
APL_loss.py:211
Method__init__
(self, alpha, beta, num_classes, q=0.7)
APL_loss.py:223
Method__init__
(self, alpha, beta, num_classes, q=0.7)
APL_loss.py:235
Method__init__
(self, alpha, beta, num_classes)
APL_loss.py:247
Method__init__
(self, gamma=0, alpha=None, size_average=True)
APL_loss.py:300
Method__init__
(self, scale=1.0, gamma=0, num_classes=10, alpha=None, size_average=True)
APL_loss.py:337
Method__init__
(self, alpha, beta, num_classes, gamma=0.5)
APL_loss.py:362
Method__init__
(self, alpha, beta, num_classes, gamma=0.5)
APL_loss.py:374
Method__init__
(self, alpha, beta, num_classes, gamma=0.5)
APL_loss.py:386
Method__init__
(self, num_classes)
APL_loss.py:398
Method__init__
(self, reduction='mean')
helpers.py:88
Method__init__
(self, classes, smoothing=0.0, dim=-1)
helpers.py:127
Method__init__
(self, num_classes=10, a=1, b=1)
Asym_loss.py:10
Method__init__
(self, num_classes=10, scale=1.0)
Asym_loss.py:31
Method__init__
(self, num_classes, scale=1.0)
Asym_loss.py:45
Method__init__
(self, num_classes, scale=1.0)
Asym_loss.py:61
Method__init__
(self, num_classes=10, scale=2.0)
Asym_loss.py:73
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