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Functions259 in github.com/LouieYang/MCL

⨍ Functions 259◇ Types & classes 62

↓ 1 callersMethodprepare_data_list

(self, cfg, phase)

dataloader/unrepeated_datasets.py:21

↓ 1 callersMethodprepare_data_list

(self, cfg, phase)

dataloader/pretrain_datasets.py:47

↓ 1 callersMethodprepare_data_list

(self, cfg, phase)

dataloader/base_datasets.py:35

↓ 1 callersMethodprepare_transform

(self, cfg, phase)

dataloader/pretrain_datasets.py:21

↓ 1 callersMethodreset

engines/utils.py:35

↓ 1 callersMethodsave_model

(self, prefix, accuracy, h, epoch, final_epoch=False)

engines/distributed_trainer.py:149

↓ 1 callersMethodsave_model

(self, postfix=None)

engines/pretrainer.py:90

↓ 1 callersMethodsave_model

(self, postfix=None)

engines/distributed_pretrainer.py:104

↓ 1 callersMethodset_epoch

dataloader/distributed_sampler.py:65

↓ 1 callersFunctionsquare_resize_randomcrop

(phase, image_size, pad_size)

dataloader/transforms.py:9

↓ 1 callersMethodstep_ReduceLROnPlateau

(self, metrics, epoch=None)

engines/utils.py:84

↓ 1 callersMethodvalidate

(self, dataloader)

engines/distributed_trainer.py:123

↓ 1 callersMethodvalidate

(self, dataloader)

engines/pretrainer.py:126

↓ 1 callersMethodvalidate

(self, dataloader)

engines/distributed_pretrainer.py:145

↓ 1 callersMethodvalidate

(self, dataloader)

engines/trainer.py:108

(self, support_xf, support_y, query_xf, query_y, n_way, k_shot)

modules/query/relationnet.py:68

(self, support_xf, support_y, query_xf, query_y, n_way, k_shot)

modules/query/protonet.py:43

(self, support_xf, support_y, query_xf, query_y, n_way, k_shot)

modules/query/matchingnet.py:47

(self, support_xf, support_y, query_xf, query_y, n_way, k_shot)

modules/query/relationmel.py:116

(self, support_xf, support_y, query_xf, query_y, n_way, k_shot)

modules/query/protomel.py:73

(self, support_xf, support_y, query_xf, query_y, n_way, k_shot)

modules/query/matchingmel.py:79

Method__getattr__

configs/collections.py:19

Method__getitem__

dataloader/grid_datasets.py:83

Method__getitem__

dataloader/pretrain_datasets.py:70

Method__getitem__

dataloader/base_datasets.py:80

(self, *args, **kwargs)

configs/collections.py:15

(self, *args, **kwargs)

modules/utils.py:102

modules/fsl_query.py:9

modules/encoder/fourlayer_64F.py:10

(self, depth, widen_factor, dropout_rate)

modules/encoder/wrn28.py:47

(self, block_size)

modules/encoder/resnet.py:8

(self, inplanes, planes, stride=1, downsample=None, drop_rate=0.0, drop_block=False, block_size=1)

modules/encoder/resnet.py:75

modules/encoder/fourlayer_64F_4x.py:10

(self, in_channels)

modules/query/relationnet.py:8

(self, in_channels, cfg)

modules/query/r2d2.py:10

(self, in_channels, cfg)

modules/query/protonet.py:10

(self, in_channels, cfg)

modules/query/mn4.py:13

(self, in_channels, cfg)

modules/query/matchingnet.py:10

(self, in_channels, cfg)

modules/query/linearplus.py:36

(self, in_channels, cfg)

modules/query/linear.py:10

(self, in_channels, cfg)

modules/query/r2d2mel.py:13

(self, in_channels, cfg)

modules/query/negative_softmax.py:40

(self, in_channels, cfg)

modules/query/metaoptmel.py:13

(self, in_channels, cfg)

modules/query/linearmel.py:13

(self, in_channels, cfg)

modules/query/frn.py:10

(self, in_channels, cfg, metric='cosine')

modules/query/ls.py:13

(self, in_channels, cfg)

modules/query/negative_softmax_mel.py:13

(self, in_channels, cfg)

modules/query/dmn4.py:13

(self, cfg, metric='cosine')

modules/query/similarity.py:9

(self, in_channels, cfg)

modules/query/mel.py:12

(self, in_channels, cfg)

modules/query/negative_cosine_mel.py:13

(self, in_channels, cfg)

modules/query/metaoptnet.py:17

(self, in_channels)

modules/query/relationmel.py:10

(self, in_channels, cfg)

modules/query/ctx.py:10

(self, in_channels, cfg)

modules/query/protomel.py:13

(self, in_channels, cfg)

modules/query/matchingmel.py:12

(self, cfg, katz_factor=0.999, gamma=20.0, gamma2=10.0)

modules/query/mel_utils.py:12

(self, in_channels, cfg)

modules/query/linearplusmel.py:13

(self, in_features, out_features, scale_factor=30.0, margin=0.40)

modules/query/negative_cosine.py:18

(self, in_channels, cfg)

modules/query/dsn.py:10

(self, in_channels, cfg)

modules/query/deepemd.py:19

(self, in_channels, cfg)

modules/query/dn4.py:13

(self, in_channels, cfg)

modules/query/dsnmel.py:12

modules/pretrainer/linear.py:11

modules/pretrainer/frn.py:11

modules/pretrainer/base.py:11

(self, cfg, phase="train", transform=None)

dataloader/grid_datasets.py:15

(self, label, n_batch, n_cls, n_per)

dataloader/samplers.py:7

(self, cfg, phase="train", transform=None)

dataloader/unrepeated_datasets.py:16

(self, cfg, phase="train")

dataloader/pretrain_datasets.py:12

(self, cfg, phase="train", transform=None)

dataloader/base_datasets.py:16

(self, dataset, num_replicas=None, rank=None, shuffle=True)

dataloader/distributed_sampler.py:25

(self, optimizer, multiplier, total_epoch, after_scheduler=None)

engines/utils.py:61

(self, cfg, checkpoint_dir)

engines/evaluator.py:16

(self, args, cfg, checkpoint_dir)

engines/distributed_trainer.py:26

(self, args, cfg, checkpoint_dir, fsl=None)

engines/distributed_evaluator.py:18

(self, cfg, checkpoint_dir)

engines/pretrainer.py:21

(self, args, cfg, checkpoint_dir)

engines/distributed_pretrainer.py:22

(self, cfg, checkpoint_dir)

engines/trainer.py:21

dataloader/samplers.py:22

dataloader/distributed_sampler.py:42

dataloader/samplers.py:19

dataloader/unrepeated_datasets.py:63

dataloader/pretrain_datasets.py:67

dataloader/base_datasets.py:77

dataloader/distributed_sampler.py:62

Method__setattr__

(self, name, value)

configs/collections.py:27

Method_scores_both

(self, support_xf, support_y, query_xf, query_y, query_mel, support_mel)

modules/query/relationmel.py:93

Method_scores_both

(self, support_xf, support_y, query_xf, query_y, query_mel, support_mel)

modules/query/protomel.py:60

Method_scores_both

(self, support_xf, support_y, query_xf, query_y, query_mel, support_mel)

modules/query/matchingmel.py:63

Method_scores_query

(self, support_xf, support_y, query_xf, query_y, query_mel, support_mel)

modules/query/relationmel.py:50

Method_scores_query

(self, support_xf, support_y, query_xf, query_y, query_mel, support_mel)

modules/query/protomel.py:33

Method_scores_query

(self, support_xf, support_y, query_xf, query_y, query_mel, support_mel)

modules/query/matchingmel.py:30

Method_scores_support

(self, support_xf, support_y, query_xf, query_y, query_mel, support_mel)

modules/query/relationmel.py:70

Method_scores_support

(self, support_xf, support_y, query_xf, query_y, query_mel, support_mel)

modules/query/protomel.py:46

Method_scores_support

(self, support_xf, support_y, query_xf, query_y, query_mel, support_mel)

modules/query/matchingmel.py:47

Methodaveraging_based_similarities

(self, support_xf, support_y, query_xf, query_y)

modules/query/mel.py:44

Functionblock_diag

Make a block diagonal matrix along dim=-3 EXAMPLE: block_diag(torch.ones(4,3,2)) should give a 12 x 8 matrix with blocks of 3 x 2 one

modules/utils.py:49

Methodblockwise_katz_forward

(self, support_xf, support_y, query_xf, query_y, similarity_f)

modules/query/mel.py:107

Functionconv_init

modules/encoder/wrn28.py:15

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