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Functions138 in github.com/ChrisAllenMing/LtC-MSDA

⨍ Functions 138◇ Types & classes 40
↓ 18 callersMethod__init__
(self, local_size=1, alpha=1.0, beta=0.75, ACROSS_CHANNELS=True)
model/alexnet.py:8
↓ 10 callersFunction_resnet
(arch, block, layers, pretrained, progress, **kwargs)
model/resnet.py:219
↓ 9 callersMethodload
(self, checkpoint)
model/alexnet.py:686
↓ 6 callersFunctiondense_to_one_hot
Convert class labels from scalars to one-hot vectors.
utils/utils.py:13
↓ 4 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
model/resnet.py:122
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1)
model/alexnet.py:813
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1, dilate=False)
model/resnet.py:173
↓ 4 callersFunctiongrad_reverse
(x, lambd=1.0)
model/grad_reverse.py:15
↓ 3 callersMethodconstruct_adj
(self, feats)
solver.py:100
↓ 3 callersFunctionconv1x1
1x1 convolution
model/resnet.py:30
↓ 3 callersFunctionconv3x3
3x3 convolution with padding
model/resnet.py:24
↓ 2 callersMethodadj_loss
(self)
solver.py:157
↓ 2 callersMethodbackward
(self, grad_output)
model/grad_reverse.py:11
↓ 2 callersMethodeuclid_dist
(self, x, y)
solver.py:89
↓ 2 callersMethodinitialize
(self, source, target, batch_size1, batch_size2, scale=32)
datasets/unaligned_data_loader.py:99
↓ 2 callersMethodload_data
(self)
datasets/unaligned_data_loader.py:136
↓ 2 callersMethodreset_grad
(self)
solver.py:80
↓ 2 callersFunctionreturn_dataset
(data, scale=False, usps=False, all_use='no')
datasets/dataset_read.py:14
↓ 2 callersMethodtest
(self, epoch, record_file=None, save_model=False)
solver.py:378
↓ 2 callersMethodupdate_statistics
(self, feats, labels, epsilon=1e-5)
solver.py:125
↓ 1 callersFunctionGenerator
(net)
model/build_gen.py:10
↓ 1 callersMethod__init__
(self)
model/lenet.py:7
↓ 1 callersMethod__init__
(self)
model/svhn2mnist.py:7
↓ 1 callersMethod__init__
(self)
model/usps.py:8
↓ 1 callersMethod__init__
(self)
model/syn2gtrsb.py:7
↓ 1 callersMethod_forward_impl
(self, x)
model/resnet.py:197
↓ 1 callersFunctiondataset_read
(target, batch_size)
datasets/dataset_read.py:42
↓ 1 callersFunctionload_gtsrb
()
datasets/gtsrb.py:4
↓ 1 callersFunctionload_mnist
(scale=True, usps=False, all_use=False)
datasets/mnist.py:5
↓ 1 callersFunctionload_mnistm
(scale=True, usps=False, all_use=False)
datasets/mnist_m.py:5
↓ 1 callersFunctionload_svhn
()
datasets/svhn.py:8
↓ 1 callersFunctionload_syn
(scale=True, usps=False, all_use=False)
datasets/synth_number.py:9
↓ 1 callersFunctionload_syntraffic
()
datasets/synth_traffic.py:4
↓ 1 callersFunctionload_usps
(all_use=False)
datasets/usps_.py:10
↓ 1 callersFunctionmain
()
train.py:76
↓ 1 callersFunctionmain
()
test.py:49
↓ 1 callersMethodpseudo_label
(self, logit, feat)
solver.py:112
↓ 1 callersMethodreset_parameters
(self)
gcn/layers.py:20
↓ 1 callersMethodset_optimizer
(self, which_opt='sgd', lr=0.001, momentum=0.9)
solver.py:65
↓ 1 callersMethodtrain_gcn_adapt
(self, epoch, record_file=None)
solver.py:268
↓ 1 callersMethodtrain_gcn_baseline
(self, epoch, record_file=None)
solver.py:178
FunctionClassifier
(net, feat, nclass)
model/build_gen.py:25
FunctionClassifier
()
model/build_gen_bac.py:13
FunctionGenerator
()
model/build_gen_bac.py:6
Method__getitem__
Args: index (int): Index Returns: tuple: (image, target) where target is index of the target class.
datasets/datasets_.py:23
Method__init__
(self, args, batch_size=128, target='mnistm', learning_rate=0.0002, interval=10, optimizer='a
solver.py:16
Method__init__
(self, prob=0.5)
model/lenet.py:34
Method__init__
(self, lambd)
model/grad_reverse.py:5
Method__init__
(self, opt, nclasses)
model/alexnet.py:26
Method__init__
(self, opt, nclasses)
model/alexnet.py:71
Method__init__
(self, opt)
model/alexnet.py:115
Method__init__
(self, opt, nclasses)
model/alexnet.py:155
Method__init__
(self, groups_ = 1)
model/alexnet.py:174
Method__init__
(self, nclasses)
model/alexnet.py:275
Method__init__
(self, opt, nclasses)
model/alexnet.py:292
Method__init__
(self, opt, nclasses)
model/alexnet.py:342
Method__init__
(self, opt, nclasses)
model/alexnet.py:396
Method__init__
(self, opt, nclasses)
model/alexnet.py:444
Method__init__
(self, opt, nclasses)
model/alexnet.py:489
Method__init__
(self, opt, nclasses)
model/alexnet.py:527
Method__init__
(self, opt, nclasses)
model/alexnet.py:575
Method__init__
(self, opt)
model/alexnet.py:614
Method__init__
(self, opt, nclasses)
model/alexnet.py:734
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
model/alexnet.py:752
Method__init__
(self, block, layers)
model/alexnet.py:791
Method__init__
(self, opt, nclasses)
model/alexnet.py:879
Method__init__
(self, prob=0.5)
model/svhn2mnist.py:34
Method__init__
(self, prob=0.5)
model/usps.py:25
Method__init__
(self)
model/syn2gtrsb.py:25
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm
model/resnet.py:39
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm
model/resnet.py:80
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
model/resnet.py:381
Method__init__
(self, feat=2048, classes=10)
model/resnet.py:411
Method__init__
(self, data, label, transform=None,target_transform=None)
datasets/datasets_.py:16
Method__init__
(self)
datasets/base_data_loader.py:3
Method__init__
(self, data_loader_A, data_loader_B, data_loader_C, data_loader_D, data_loader_t, max_dataset_size)
datasets/unaligned_data_loader.py:9
Method__init__
(self, in_features, out_features, bias=True)
gcn/layers.py:9
Method__init__
(self, nfeat, nclasses, dropout = 0.5)
gcn/models.py:8
Method__iter__
(self)
datasets/unaligned_data_loader.py:23
Method__len__
(self)
datasets/datasets_.py:51
Method__len__
(self)
datasets/unaligned_data_loader.py:139
Method__next__
(self)
datasets/unaligned_data_loader.py:38
Method__repr__
(self)
gcn/layers.py:34
Functionalexnet
(pretrained=False)
model/alexnet.py:892
Methoddiscrepancy
(self, out1, out2)
solver.py:85
Methodforward
(self, x, reverse=False)
model/lenet.py:20
Methodforward
(self, x, reverse=False)
model/lenet.py:43
Methodforward
(self, x)
model/grad_reverse.py:8
Methodforward
(self, input)
model/alexnet.py:56
Methodforward
(self, input)
model/alexnet.py:103
Methodforward
(self, input)
model/alexnet.py:139
Methodforward
(self, input)
model/alexnet.py:165
Methodforward
(self, inputs)
model/alexnet.py:253
Methodforward
(self, embedding)
model/alexnet.py:283
Methodforward
(self, input)
model/alexnet.py:327
Methodforward
(self, input)
model/alexnet.py:384
Methodforward
(self, input)
model/alexnet.py:431
Methodforward
(self, inputs)
model/alexnet.py:469
Methodforward
(self, inputs)
model/alexnet.py:512
Methodforward
(self, inputs)
model/alexnet.py:555
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