Functions — github.com/KaiyangZhou/Dassl.pytorch

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Functions664 in github.com/KaiyangZhou/Dassl.pytorch

⨍ Functions 664◇ Types & classes 136

Method__init__

(self, num_features, n_domain)

dassl/modeling/ops/dsbn.py:44

Method__init__

Args: p (float): probability of using MixStyle. alpha (float): parameter of the Beta distribution. eps (float):

dassl/modeling/ops/efdmix.py:60

Method__init__

( self, in_channels: int, out_features: int, squeeze=None, bias: bool

dassl/modeling/ops/attention.py:11

Method__init__

Args: p (float): probability of using MixStyle. alpha (float): parameter of the Beta distribution. eps (float):

dassl/modeling/ops/mixstyle.py:60

Method__init__

(self, kernel_type="rbf", normalize=False)

dassl/modeling/ops/mmd.py:8

Method__init__

( self, num_features, eps=1e-5, momentum=0.1, adaptive_alpha=True )

dassl/modeling/ops/transnorm.py:19

Method__init__

( self, in_channels: int, out_channels: int, kernel_size: int, stride:

dassl/modeling/ops/conv.py:12

Method__init__

(self, in_planes, planes, stride=1)

dassl/modeling/backbone/preact_resnet18.py:50

Method__init__

(self, block, num_blocks)

dassl/modeling/backbone/preact_resnet18.py:91

Method__init__

( self, nb_layers, in_planes, out_planes, block, stride, dropRate=0.0 )

dassl/modeling/backbone/wide_resnet.py:63

Method__init__

(self, depth, widen_factor, dropRate=0.0)

dassl/modeling/backbone/wide_resnet.py:92

Method__init__

(self)

dassl/modeling/backbone/alexnet.py:15

Method__init__

(self, c_in, c_out)

dassl/modeling/backbone/cnn_digitsdg.py:12

Method__init__

( self, inplanes: int, planes: int, stride: int = 1, downsample: Optio

dassl/modeling/backbone/resnet_dynamic.py:148

Method__init__

( self, inplanes: int, planes: int, stride: int = 1, downsample: Optio

dassl/modeling/backbone/resnet_dynamic.py:207

Method__init__

( self, inplanes: int, planes: int, stride: int = 1, downsample: Optio

dassl/modeling/backbone/resnet_dynamic.py:259

Method__init__

( self, inplanes: int, planes: int, stride: int = 1, downsample: Optio

dassl/modeling/backbone/resnet_dynamic.py:322

Method__init__

(self, features, init_weights=True)

dassl/modeling/backbone/vgg.py:26

Method__init__

(self)

dassl/modeling/backbone/backbone.py:6

Method__init__

(self)

dassl/modeling/backbone/cnn_digit5_m3sda.py:15

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

dassl/modeling/backbone/resnet.py:31

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

dassl/modeling/backbone/resnet.py:63

Method__init__

(self)

dassl/modeling/backbone/cnn_digitsingle.py:16

Method__init__

( self, in_channels, out_channels, kernel_size, stride=1, dila

dassl/modeling/backbone/efficientnet/utils.py:159

Method__init__

( self, in_channels, out_channels, kernel_size, image_size=None,

dassl/modeling/backbone/efficientnet/utils.py:206

Method__init__

(self, blocks_args=None, global_params=None)

dassl/modeling/backbone/efficientnet/model.py:155

Method__init__

( self, in_features=2048, hidden_layers=[], activation="relu", bn=True

dassl/modeling/head/mlp.py:9

Method__init__

(self, dim, padding_type, norm_layer, use_dropout, use_bias)

dassl/modeling/network/ddaig_fcn.py:63

Method__init__

( self, input_nc, nc=32, n_blocks=3, use_dropout=False, paddin

dassl/modeling/network/ddaig_fcn.py:118

Method__init__

Args: ema (bool, optional): apply exponential moving average.

dassl/utils/meters.py:17

Method__init__

(self, delimiter=" ")

dassl/utils/meters.py:58

Method__init__

(self, fpath=None)

dassl/utils/logger.py:27

Method__init__

(self, name)

dassl/utils/registry.py:32

Method__init__

( self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_

dassl/optim/radam.py:135

Method__init__

( self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_

dassl/optim/radam.py:236

Method__init__

( self, optimizer, successor, warmup_epoch, cons_lr, last_epoc

dassl/optim/lr_scheduler.py:37

Method__init__

( self, optimizer, successor, warmup_epoch, min_lr, last_epoch

dassl/optim/lr_scheduler.py:59

Method__init__

( self, cfg, custom_tfm_train=None, custom_tfm_test=None, dataset_wrap

dassl/data/data_manager.py:53

Method__init__

(self, cfg, data_source, transform=None, is_train=False)

dassl/data/data_manager.py:190

Method__init__

(self, data_source, batch_size, n_domain)

dassl/data/samplers.py:18

Method__init__

(self, data_source, batch_size)

dassl/data/samplers.py:73

Method__init__

(self, data_source, batch_size, n_ins)

dassl/data/samplers.py:129

Method__init__

( self, height, width, p=0.5, interpolation=InterpolationMode.BILINEAR )

dassl/data/transforms/transforms.py:56

Method__init__

(self, eps=1e-8)

dassl/data/transforms/transforms.py:104

Method__init__

(self, n_holes=1, length=16)

dassl/data/transforms/transforms.py:127

Method__init__

(self, mean=0, std=0.15, p=0.5)

dassl/data/transforms/transforms.py:164

Method__init__

(self, alphastd, eigval, eigvec)

dassl/data/transforms/randaugment.py:176

Method__init__

(self, length)

dassl/data/transforms/randaugment.py:200

Method__init__

(self, n=2, m=10)

dassl/data/transforms/randaugment.py:313

Method__init__

(self, n=2, p=0.6)

dassl/data/transforms/randaugment.py:331

Method__init__

(self, n=2)

dassl/data/transforms/randaugment.py:351

Method__init__

(self, fillcolor=(128, 128, 128))

dassl/data/transforms/autoaugment.py:23

Method__init__

(self, fillcolor=(128, 128, 128))

dassl/data/transforms/autoaugment.py:74

Method__init__

(self, fillcolor=(128, 128, 128))

dassl/data/transforms/autoaugment.py:125

Method__init__

( self, p1, operation1, magnitude_idx1, p2, operation2,

dassl/data/transforms/autoaugment.py:164

Method__init__

(self, impath="", label=0, domain=0, classname="")

dassl/data/datasets/base_dataset.py:22

Method__init__

(self, train_x=None, train_u=None, val=None, test=None)

dassl/data/datasets/base_dataset.py:58

Method__init__

(self, cfg)

dassl/data/datasets/dg/pacs.py:28

Method__init__

(self, cfg)

dassl/data/datasets/dg/vlcs.py:26

Method__init__

(self, cfg)

dassl/data/datasets/dg/digits_dg.py:35

Method__init__

(self, cfg)

dassl/data/datasets/dg/digit_single.py:98

Method__init__

(self, cfg)

dassl/data/datasets/dg/cifar_c.py:122

Method__init__

(self, cfg)

dassl/data/datasets/dg/office_home_dg.py:27

Method__init__

(self, cfg)

dassl/data/datasets/dg/wilds/wilds_base.py:17

Method__init__

(self, cfg)

dassl/data/datasets/dg/wilds/camelyon17.py:20

Method__init__

(self, cfg)

dassl/data/datasets/dg/wilds/fmow.py:40

Method__init__

(self, cfg)

dassl/data/datasets/dg/wilds/iwildcam.py:22

Method__init__

(self, cfg)

dassl/data/datasets/da/office_home.py:27

Method__init__

(self, cfg)

dassl/data/datasets/da/digit5.py:93

Method__init__

(self, cfg)

dassl/data/datasets/da/mini_domainnet.py:20

Method__init__

(self, cfg)

dassl/data/datasets/da/office31.py:27

Method__init__

(self, cfg)

dassl/data/datasets/da/domainnet.py:30

Method__init__

(self, cfg)

dassl/data/datasets/da/cifarstl.py:37

Method__init__

(self, cfg)

dassl/data/datasets/da/visda17.py:23

Method__init__

(self, cfg)

dassl/data/datasets/ssl/svhn.py:16

Method__init__

(self, cfg)

dassl/data/datasets/ssl/cifar.py:107

Method__init__

(self, cfg)

dassl/data/datasets/ssl/stl10.py:28

Method__init__

(self)

dassl/engine/trainer.py:80

Method__init__

(self, cfg)

dassl/engine/trainer.py:309

Method__init__

(self, cfg)

dassl/engine/dg/ddaig.py:18

Method__init__

(self, n_source, fdim, num_classes)

dassl/engine/dg/daeldg.py:16

Method__init__

(self, cfg)

dassl/engine/dg/crossgrad.py:17

Method__init__

(self, cfg)

dassl/engine/dg/domain_mix.py:19

Method__init__

(self, cfg)

dassl/engine/da/adda.py:18

Method__init__

(self, fdim, num_classes)

dassl/engine/da/m3sda.py:13

Method__init__

(self, n_source, fdim, num_classes)

dassl/engine/da/dael.py:16

Method__init__

(self, fdim, num_classes, temp=0.05)

dassl/engine/da/cdac.py:43

Method__init__

(self, cfg)

dassl/engine/da/se.py:16

Method__init__

(self, cfg)

dassl/engine/da/dann.py:20

Method__init__

(self, cfg)

dassl/engine/da/mcd.py:18

Method__init__

(self, cfg)

dassl/engine/da/adabn.py:14

Method__init__

(self, fdim, num_classes, temp=0.05)

dassl/engine/da/mme.py:15

Method__init__

(self, cfg)

dassl/engine/ssl/entmin.py:15

Method__init__

(self, cfg)

dassl/engine/ssl/fixmatch.py:18

Method__init__

(self, cfg)

dassl/engine/ssl/mixmatch.py:18

Method__init__

(self, cfg)

dassl/engine/ssl/mean_teacher.py:16

Method__init__

(self, cfg, lab2cname=None, **kwargs)

dassl/evaluation/evaluator.py:30

Method__len__

(self)

dassl/data/data_manager.py:217

Method__len__

(self)

dassl/data/samplers.py:60

Method__len__

(self)

dassl/data/samplers.py:113

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