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Functions728 in github.com/BeierZhu/xERM

⨍ Functions 728◇ Types & classes 145
↓ 1 callersFunctionupdate
(config, args)
xERM.TDE.public/utils.py:48
↓ 1 callersMethodupdate
(self, pointer, priority)
xERM.PC.public/data/MixedPrioritizedSampler.py:101
↓ 1 callersMethodupdate
(self, pointer, priority)
xERM.TDE.public/data/MixedPrioritizedSampler.py:101
↓ 1 callersMethodupdate_delta
(self, pointer, delta)
xERM.PC.public/data/ClassPrioritySampler.py:157
↓ 1 callersMethodupdate_delta
(self, pointer, delta)
xERM.TDE.public/data/ClassPrioritySampler.py:157
↓ 1 callersMethodupdate_weights
Update priority weights
xERM.PC.public/data/ClassPrioritySampler.py:484
↓ 1 callersMethodupdate_weights
Update priority weights
xERM.TDE.public/data/ClassPrioritySampler.py:484
↓ 1 callersFunctionweighted_mic_acc_cal
(preds, labels, ws)
xERM.PC.public/utils.py:144
↓ 1 callersFunctionweighted_mic_acc_cal
(preds, labels, ws)
xERM.TDE.public/utils.py:203
↓ 1 callersFunctionwrite_json
(content, fname)
xERM.RIDE.public/utils/util.py:72
↓ 1 callersMethodxERM_eval
(self)
xERM.TDE.public/run_networks.py:468
↓ 1 callersMethodxERM_train
(self)
xERM.PC.public/run_networks.py:276
↓ 1 callersMethodxERM_train
(self)
xERM.TDE.public/run_networks.py:250
MethodKL
(self, input, target, weight=None, reduction=None)
xERM.RIDE.public/model/loss.py:130
Method__call__
(self, arg=None)
xERM.RIDE.public/utils/util.py:20
Method__enter__
(self, *args, **kwargs)
xERM.RIDE.public/utils/util.py:18
Method__exit__
(self, *args, **kwargs)
xERM.RIDE.public/utils/util.py:24
Method__getattr__
If visualization is configured to use: return add_data() methods of tensorboard with additional information (step, tag) added.
xERM.RIDE.public/logger/visualization.py:50
Method__getitem__
Access items like ordinary dict.
xERM.RIDE.public/parse_config.py:119
Method__getitem__
(self, index)
xERM.RIDE.public/data_loader/imagenet_lt_data_loaders.py:57
Method__getitem__
(self, index)
xERM.RIDE.public/data_loader/inaturalist_data_loaders.py:57
Method__getitem__
(self, index)
xERM.PC.public/data/dataloader.py:114
Method__getitem__
(self, index)
xERM.PC.public/data/ImbalanceCIFAR.py:98
Method__getitem__
(self, index)
xERM.TDE.public/data/dataloader.py:105
Method__getitem__
(self, index)
xERM.TDE.public/data/ImbalanceCIFAR.py:87
Method__init__
class to parse configuration json file. Handles hyperparameters for training, initializations of modules, checkpoint saving and loggi
xERM.RIDE.public/parse_config.py:12
Method__init__
(self)
xERM.RIDE.public/utils/util.py:16
Method__init__
(self, *keys, writer=None)
xERM.RIDE.public/utils/util.py:83
Method__init__
(self)
xERM.RIDE.public/utils/util.py:111
Method__init__
(self, root, imb_type='exp', imb_factor=0.01, rand_number=0, train=True, transform=None, targ
xERM.RIDE.public/data_loader/imbalance_cifar.py:10
Method__init__
(self, buckets, retain_epoch_size=False)
xERM.RIDE.public/data_loader/imagenet_lt_data_loaders.py:11
Method__init__
(self, data_dir, batch_size, shuffle=True, num_workers=1, training=True, balanced=False, retain_epoch_size=Tru
xERM.RIDE.public/data_loader/imagenet_lt_data_loaders.py:75
Method__init__
(self, data_dir, batch_size, shuffle=True, num_workers=1, training=True)
xERM.RIDE.public/data_loader/cifar_data_loaders.py:15
Method__init__
(self, data_dir, batch_size, shuffle=True, num_workers=1, training=True, balanced=False, retain_epoch_size=Tru
xERM.RIDE.public/data_loader/cifar_data_loaders.py:96
Method__init__
(self, data_dir, batch_size, shuffle=True, num_workers=1, training=True, balanced=False, retain_epoch_size=Tru
xERM.RIDE.public/data_loader/cifar_data_loaders.py:163
Method__init__
(self, buckets, retain_epoch_size=False)
xERM.RIDE.public/data_loader/inaturalist_data_loaders.py:11
Method__init__
(self, data_dir, batch_size, shuffle=True, num_workers=1, training=True, balanced=False, retain_epoch_size=Tru
xERM.RIDE.public/data_loader/inaturalist_data_loaders.py:75
Method__init__
(self, log_dir, logger, enabled)
xERM.RIDE.public/logger/visualization.py:6
Method__init__
(self, cls_num_list=None, weight=None, gamma=0.)
xERM.RIDE.public/model/loss.py:23
Method__init__
(self, cls_num_list=None, reweight_CE=False)
xERM.RIDE.public/model/loss.py:36
Method__init__
(self, cls_num_list=None, max_m=0.5, s=30, reweight_epoch=-1)
xERM.RIDE.public/model/loss.py:59
Method__init__
(self, T=1, cls_num_list=None, base_diversity_temperature=1.0, max_m=0.5, s=30, reweight=True, reweight_epoch=
xERM.RIDE.public/model/loss.py:140
Method__init__
(self, cls_num_list=None, base_diversity_temperature=1.0, max_m=0.5, s=30, reweight=True, reweight_epoch=-1,
xERM.RIDE.public/model/loss.py:213
Method__init__
(self, cls_num_list=None, base_diversity_temperature=1.0, max_m=0.5, s=30, reweight=True, reweight_epoch=-1,
xERM.RIDE.public/model/loss.py:346
Method__init__
(self, cls_num_list=None, max_m=0.5, s=30, reweight=True, reweight_epoch=-1, base_loss_factor=1.0, re
xERM.RIDE.public/model/loss.py:476
Method__init__
(self, cls_num_list=None, max_m=0.5, s=30, reweight=True, reweight_epoch=-1, base_loss_factor=1.0, re
xERM.RIDE.public/model/loss.py:588
Method__init__
(self, T=1, gamma=1, cls_num_list=None, max_m=0.5, s=30, reweight=True, reweight_epoch=-1, base_loss_
xERM.RIDE.public/model/loss.py:706
Method__init__
(self, cls_num_list=None, additional_distill_loss_factor=1.0, distill_temperature=1.0, ride_loss_factor=1.0, *
xERM.RIDE.public/model/loss.py:759
Method__init__
(self, num_classes, backbone_class=None)
xERM.RIDE.public/model/model.py:36
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, use_norm=False, nu
xERM.RIDE.public/model/model.py:53
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, num_experts=1, **k
xERM.RIDE.public/model/model.py:61
Method__init__
(self, num_classes, reduce_dimension=False, layer2_output_dim=None, layer3_output_dim=None, use_norm=False, nu
xERM.RIDE.public/model/model.py:66
Method__init__
(self, num_classes, reduce_dimension=False, layer2_output_dim=None, layer3_output_dim=None, num_experts=2, **k
xERM.RIDE.public/model/model.py:74
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, use_norm=False, nu
xERM.RIDE.public/model/model.py:79
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, num_experts=1, **k
xERM.RIDE.public/model/model.py:87
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, num_experts=1, **k
xERM.RIDE.public/model/model.py:93
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, num_experts=1, **k
xERM.RIDE.public/model/model.py:99
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, use_norm=False, nu
xERM.RIDE.public/model/model.py:107
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, use_norm=False, nu
xERM.RIDE.public/model/model.py:115
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, num_experts=1, **k
xERM.RIDE.public/model/model.py:123
Method__init__
(self, num_classes, reduce_dimension=False, layer3_output_dim=None, layer4_output_dim=None, num_experts=1)
xERM.RIDE.public/model/model.py:129
Method__init__
(self, in_features, out_features)
xERM.RIDE.public/model/ldam_drw_resnets/ea_resnet_cifar.py:40
Method__init__
(self, lambd)
xERM.RIDE.public/model/ldam_drw_resnets/ea_resnet_cifar.py:51
Method__init__
(self, in_planes, planes, stride=1, option='A')
xERM.RIDE.public/model/ldam_drw_resnets/ea_resnet_cifar.py:62
Method__init__
(self, in_features, out_features)
xERM.RIDE.public/model/ldam_drw_resnets/resnet_cifar.py:40
Method__init__
(self, lambd)
xERM.RIDE.public/model/ldam_drw_resnets/resnet_cifar.py:51
Method__init__
(self, in_planes, planes, stride=1, option='A')
xERM.RIDE.public/model/ldam_drw_resnets/resnet_cifar.py:62
Method__init__
(self, in_features, out_features)
xERM.RIDE.public/model/ldam_drw_resnets/ride_resnet_cifar.py:42
Method__init__
(self, lambd)
xERM.RIDE.public/model/ldam_drw_resnets/ride_resnet_cifar.py:53
Method__init__
(self, in_planes, planes, stride=1, option='A')
xERM.RIDE.public/model/ldam_drw_resnets/ride_resnet_cifar.py:64
Method__init__
(self, in_features, out_features)
xERM.RIDE.public/model/fb_resnets/EAResNeXt.py:28
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
xERM.RIDE.public/model/fb_resnets/EAResNeXt.py:40
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, is_last=False)
xERM.RIDE.public/model/fb_resnets/EAResNeXt.py:71
Method__init__
(self, in_features, out_features)
xERM.RIDE.public/model/fb_resnets/RIDEResNeXt.py:23
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
xERM.RIDE.public/model/fb_resnets/RIDEResNeXt.py:35
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, is_last=False)
xERM.RIDE.public/model/fb_resnets/RIDEResNeXt.py:66
Method__init__
(self, in_features, out_features)
xERM.RIDE.public/model/fb_resnets/ResNet.py:32
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
xERM.RIDE.public/model/fb_resnets/ResNet.py:44
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
xERM.RIDE.public/model/fb_resnets/ResNet.py:75
Method__init__
(self, in_features, out_features)
xERM.RIDE.public/model/fb_resnets/RIDEResNet.py:30
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
xERM.RIDE.public/model/fb_resnets/RIDEResNet.py:42
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
xERM.RIDE.public/model/fb_resnets/RIDEResNet.py:73
Method__init__
(self, in_features, out_features)
xERM.RIDE.public/model/fb_resnets/EAResNet.py:28
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
xERM.RIDE.public/model/fb_resnets/EAResNet.py:40
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
xERM.RIDE.public/model/fb_resnets/EAResNet.py:71
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
xERM.RIDE.public/model/fb_resnets/ResNeXt.py:23
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, is_last=False)
xERM.RIDE.public/model/fb_resnets/ResNeXt.py:54
Method__init__
(self, model, criterion, metric_ftns, optimizer, config)
xERM.RIDE.public/base/base_trainer.py:12
Method__init__
(self, dataset, batch_size, shuffle, validation_split, num_workers, collate_fn=default_collate)
xERM.RIDE.public/base/base_data_loader.py:11
Method__init__
(self, model, criterion, metric_ftns, optimizer, config, data_loader, valid_data_loader=None,
xERM.RIDE.public/trainer/trainer.py:13
Method__init__
(self, config, data, test=False, test_imb_ratio=1.0, test_reverse=False)
xERM.PC.public/run_networks.py:22
Method__init__
( self, optimizer, milestones, gamma=0.1, warmup_factor=1.0 / 3,
xERM.PC.public/utils.py:301
Method__init__
(self, logdir)
xERM.PC.public/logger.py:15
Method__init__
(self, data, test_mode=False)
xERM.PC.public/data/ClassPrioritySampler.py:16
Method__init__
fixed_weights: weights that wont be updated by self.update()
xERM.PC.public/data/ClassPrioritySampler.py:37
Method__init__
xERM.PC.public/data/ClassPrioritySampler.py:264
Method__init__
(self, root, txt, transform=None, template=None, top_k=None)
xERM.PC.public/data/dataloader.py:73
Method__init__
fixed_weights: weights that wont be updated by self.update()
xERM.PC.public/data/MixedPrioritizedSampler.py:15
Method__init__
xERM.PC.public/data/MixedPrioritizedSampler.py:194
Method__init__
(self, phase, imbalance_ratio, root = '/gruntdata5/kaihua/datasets', imb_type='exp', test_imb
xERM.PC.public/data/ImbalanceCIFAR.py:15
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