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Functions209 in github.com/LAMDA-CL/CVPR22-Fact

⨍ Functions 209◇ Types & classes 48
↓ 28 callersMethoditem
(self)
utils.py:57
↓ 14 callersMethodadd
(self, x)
utils.py:53
↓ 9 callersFunction_resnet
(arch, block, layers, pretrained, progress, **kwargs)
models/resnet18_encoder.py:337
↓ 6 callersFunctioncount_acc
(logits, label)
utils.py:76
↓ 6 callersMethodencode
(self, x)
models/fact/Network.py:69
↓ 4 callersMethodSelectfromClasses
(self, data, targets, index)
dataloader/imagenet1000/ImageNet.py:117
↓ 4 callersMethodSelectfromClasses
(self, data, targets, index)
dataloader/miniimagenet/miniimagenet.py:114
↓ 4 callersMethodSelectfromClasses
(self, data, targets, index)
dataloader/cub200/cub200.py:133
↓ 4 callersMethodSelectfromClasses
(self, data, targets, index)
dataloader/imagenet100/ImageNet.py:117
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1, dilate=False)
models/resnet18_encoder.py:293
↓ 4 callersFunctionresnet18
r"""ResNet-18 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b
models/resnet18_encoder.py:349
↓ 4 callersFunctionset_up_datasets
(args)
dataloader/data_utils.py:5
↓ 3 callersMethod_make_layer
(self, block, planes, blocks, stride=1, last_phase=False)
models/resnet20_cifar.py:64
↓ 3 callersFunctionconfmatrix
(logits,label,filename)
utils.py:111
↓ 3 callersFunctionconv1x1
1x1 convolution
models/resnet18_encoder.py:152
↓ 3 callersFunctionconv3x3
3x3 convolution with padding
models/resnet18_encoder.py:146
↓ 3 callersMethodencode
(self, x)
models/base/Network.py:42
↓ 3 callersFunctionget_base_dataloader
(args)
dataloader/data_utils.py:87
↓ 3 callersFunctionget_new_dataloader
(args,session)
dataloader/data_utils.py:154
↓ 3 callersMethodlist2dict
(self, list)
dataloader/cub200/cub200.py:78
↓ 3 callersFunctiontest
(model, testloader, epoch,args, session,validation=True)
models/base/helper.py:76
↓ 3 callersMethodtext_read
(self, file)
dataloader/cub200/cub200.py:71
↓ 2 callersMethodSelectfromDefault
(self, data, targets, index)
dataloader/cifar100/cifar.py:136
↓ 2 callersMethodSelectfromTxt
(self, data2label, index_path)
dataloader/imagenet1000/ImageNet.py:101
↓ 2 callersMethodSelectfromTxt
(self, data2label, index_path)
dataloader/miniimagenet/miniimagenet.py:99
↓ 2 callersMethodSelectfromTxt
(self, data2label, index_path)
dataloader/cub200/cub200.py:122
↓ 2 callersMethodSelectfromTxt
(self, data2label, index_path)
dataloader/imagenet100/ImageNet.py:101
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
models/resnet18_encoder.py:242
↓ 2 callersMethod_check_integrity
(self)
dataloader/cifar100/cifar.py:202
↓ 2 callersFunctionconv3x3
3x3 convolution with padding
models/resnet20_cifar.py:5
↓ 2 callersFunctioncount_acc_topk
(x,y,k=5)
utils.py:83
↓ 2 callersFunctionensure_path
(path)
utils.py:39
↓ 2 callersMethodforpass_fc
(self,x)
models/fact/Network.py:57
↓ 2 callersFunctionresnet20
(**kwargs)
models/resnet20_cifar.py:101
↓ 2 callersFunctionsave_list_to_txt
(name, input_list)
utils.py:167
↓ 2 callersFunctiontest
(model, testloader, epoch,args, session,validation=True)
models/fact/helper.py:106
↓ 2 callersMethodtrain
(self)
models/fact/base.py:33
↓ 1 callersMethodNewClassSelector
(self, data, targets, index)
dataloader/cifar100/cifar.py:150
↓ 1 callersMethod__init__
(self, block, layers, num_classes=10)
models/resnet20_cifar.py:45
↓ 1 callersMethod__len__
(self)
dataloader/cub200/cub200.py:144
↓ 1 callersMethod__len__
(self)
dataloader/imagenet100/ImageNet.py:129
↓ 1 callersFunction_download_url_to_file
(url, dst, hash_prefix, progress)
models/resnet18_encoder.py:70
↓ 1 callersFunction_get_torch_home
()
models/resnet18_encoder.py:120
↓ 1 callersMethod_load_meta
(self)
dataloader/cifar100/cifar.py:167
↓ 1 callersMethod_pre_operate
(self, root)
dataloader/cub200/cub200.py:90
↓ 1 callersFunctionbase_train
(model, trainloader, optimizer, scheduler, epoch, args,mask)
models/fact/helper.py:8
↓ 1 callersFunctionbase_train
(model, trainloader, optimizer, scheduler, epoch, args)
models/base/helper.py:8
↓ 1 callersMethoddownload
(self)
dataloader/cifar100/cifar.py:211
↓ 1 callersMethodforward_metric
(self, x)
models/fact/Network.py:41
↓ 1 callersMethodforward_metric
(self, x)
models/base/Network.py:31
↓ 1 callersFunctionget_command_line_parser
()
train.py:9
↓ 1 callersMethodget_dataloader
(self, session)
models/fact/fscil_trainer.py:46
↓ 1 callersMethodget_dataloader
(self, session)
models/base/fscil_trainer.py:44
↓ 1 callersMethodget_logits
(self,x,fc)
models/fact/Network.py:156
↓ 1 callersMethodget_logits
(self,x,fc)
models/base/Network.py:87
↓ 1 callersMethodget_optimizer_base
(self)
models/fact/fscil_trainer.py:32
↓ 1 callersMethodget_optimizer_base
(self)
models/base/fscil_trainer.py:32
↓ 1 callersFunctionget_session_classes
(args,session)
dataloader/data_utils.py:199
↓ 1 callersFunctionload_state_dict_from_url
r"""Loads the Torch serialized object at the given URL. If the object is already present in `model_dir`, it's deserialized and returned. The
models/resnet18_encoder.py:18
↓ 1 callersMethodpost_encode
(self,x)
models/fact/Network.py:95
↓ 1 callersFunctionpprint
(x)
utils.py:13
↓ 1 callersMethodpre_encode
(self,x)
models/fact/Network.py:75
↓ 1 callersFunctionreplace_base_fc
(trainset, transform, model, args)
models/fact/helper.py:69
↓ 1 callersFunctionreplace_base_fc
(trainset, transform, model, args)
models/base/helper.py:38
↓ 1 callersFunctionset_gpu
(args)
utils.py:31
↓ 1 callersMethodset_save_path
(self)
models/fact/fscil_trainer.py:213
↓ 1 callersMethodset_save_path
(self)
models/base/fscil_trainer.py:150
↓ 1 callersFunctionset_seed
(seed)
utils.py:17
↓ 1 callersMethodtest_intergrate
(self, model, testloader, epoch,args, session,validation=True)
models/fact/fscil_trainer.py:167
↓ 1 callersMethodtrain
(self)
models/base/base.py:33
↓ 1 callersMethodupdate_fc
(self,dataloader,class_list,session)
models/fact/Network.py:129
↓ 1 callersMethodupdate_fc
(self,dataloader,class_list,session)
models/base/Network.py:58
↓ 1 callersMethodupdate_fc_avg
(self,data,label,class_list)
models/fact/Network.py:145
↓ 1 callersMethodupdate_fc_avg
(self,data,label,class_list)
models/base/Network.py:74
↓ 1 callersMethodupdate_fc_ft
(self,new_fc,data,label,session)
models/fact/Network.py:162
↓ 1 callersMethodupdate_fc_ft
(self,new_fc,data,label,session)
models/base/Network.py:93
Method__call__
(self, img)
dataloader/imagenet1000/autoaugment.py:45
Method__call__
(self, img)
dataloader/imagenet1000/autoaugment.py:87
Method__call__
(self, img)
dataloader/imagenet1000/autoaugment.py:129
Method__call__
(self, img)
dataloader/imagenet1000/autoaugment.py:199
Method__call__
(self, img)
dataloader/cifar100/autoaugment.py:12
Method__call__
(self, img)
dataloader/cifar100/autoaugment.py:82
Method__call__
(self, img)
dataloader/cifar100/autoaugment.py:137
Method__call__
(self, img)
dataloader/cifar100/autoaugment.py:192
Method__call__
(self, img)
dataloader/cifar100/autoaugment.py:260
Method__call__
(self, img)
dataloader/miniimagenet/autoaugment.py:45
Method__call__
(self, img)
dataloader/miniimagenet/autoaugment.py:87
Method__call__
(self, img)
dataloader/miniimagenet/autoaugment.py:129
Method__call__
(self, img)
dataloader/miniimagenet/autoaugment.py:199
Method__call__
(self, img)
dataloader/cub200/autoaugment.py:45
Method__call__
(self, img)
dataloader/cub200/autoaugment.py:87
Method__call__
(self, img)
dataloader/cub200/autoaugment.py:129
Method__call__
(self, img)
dataloader/cub200/autoaugment.py:199
Method__call__
(self, img)
dataloader/imagenet100/autoaugment.py:45
Method__call__
(self, img)
dataloader/imagenet100/autoaugment.py:87
Method__call__
(self, img)
dataloader/imagenet100/autoaugment.py:129
Method__call__
(self, img)
dataloader/imagenet100/autoaugment.py:199
Method__getitem__
(self, i)
dataloader/imagenet1000/ImageNet.py:132
Method__getitem__
(self, i)
dataloader/imagenet1000/ImageNet.py:170
Method__getitem__
Args: index (int): Index Returns: tuple: (image, target) where target is index of the target class.
dataloader/cifar100/cifar.py:177
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