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Functions449 in github.com/bic-L/MaxFormer

⨍ Functions 449◇ Types & classes 120
↓ 1 callersFunctionparse_args
()
event/train.py:38
↓ 1 callersFunctionrand_augment_ops
(magnitude=10, hparams=None, transforms=None)
cifar10-100/aa_snn.py:634
↓ 1 callersFunctionrand_augment_transform
Create a RandAugment transform :param config_str: String defining configuration of random augmentation. Consists of multiple sections separa
cifar10-100/aa_snn.py:663
↓ 1 callersMethodrandom_drop
(self, events, ratio)
event/augment.py:205
↓ 1 callersMethodresize_to_resolution
(self, x)
event/dataset.py:117
↓ 1 callersFunctionsave_on_master
(*args, **kwargs)
imagenet/misc.py:212
↓ 1 callersFunctionsetup_for_distributed
This function disables printing when not in master process
event/utils.py:188
↓ 1 callersFunctiontrain_one_epoch
(model: torch.nn.Module, criterion: torch.nn.Module, data_loader: Iterable, optimizer: tor
imagenet/utils.py:161
↓ 1 callersFunctiontrain_one_epoch
( epoch, model, loader, optimizer, loss_fn, args, lr_scheduler=None, saver=None, output_dir=No
cifar10-100/train.py:635
↓ 1 callersFunctiontrain_one_epoch
(model, criterion, optimizer, data_loader, device, epoch, print_freq, scaler=None, T_train=None, aug=None, tri
event/train.py:210
↓ 1 callersFunctiontransform
(x, y, matrix)
cifar10-100/aa_snn.py:106
↓ 1 callersFunctiontransforms_eval
( img_size=224, crop_pct=None, interpolation='bilinear', use_prefetcher=False,
cifar10-100/transforms_factory.py:131
↓ 1 callersFunctiontransforms_noaug_train
( img_size=224, interpolation='bilinear', use_prefetcher=False, mean=IMAGENET_
cifar10-100/transforms_factory.py:18
↓ 1 callersFunctiontransforms_train
If separate==True, the transforms are returned as a tuple of 3 separate transforms for use in a mixing dataset that passes * all data th
cifar10-100/transforms_factory.py:45
FunctionAslDVS
(root, saltnoise)
event/dataset.py:28
FunctionCifar10DVS
(root, resolution=(128, 128))
event/dataset.py:18
FunctionDvs128Gesture
(root, resolution=(128, 128))
event/dataset.py:23
FunctionNavGestureSit
(root, saltnoise)
event/dataset.py:39
FunctionNavGestureWalk
(root, saltnoise)
event/dataset.py:34
Method__call__
(self, loss, optimizer, clip_grad=None, parameters=None, create_graph=False, update_grad=True)
imagenet/misc.py:258
Method__call__
(self, img)
cifar10-100/aa_snn.py:338
Method__call__
(self, img)
cifar10-100/aa_snn.py:516
Method__call__
(self, img)
cifar10-100/aa_snn.py:647
Method__call__
(self, img)
cifar10-100/aa_snn.py:801
Method__call__
(self, img)
event/dataset.py:52
Method__call__
(self, img)
event/dataset.py:71
Method__call__
(self, events)
event/augment.py:50
Method__getattr__
(self, attr)
imagenet/misc.py:101
Method__getattr__
(self, attr)
event/utils.py:85
Method__getitem__
(self, idx)
event/dataset.py:97
Method__getitem__
returns events and label, loading events from aedat :param idx: :return: x,y,t,p, label
event/dataset.py:176
Method__init__
(self, in_features, hidden_features=None, out_features=None)
imagenet/mixer_hub.py:12
Method__init__
( self, dim, num_heads, mlp_ratio=4.0 )
imagenet/mixer_hub.py:47
Method__init__
(self, dim, num_heads=8)
imagenet/mixer_hub.py:70
Method__init__
(self, dim, num_heads=8)
imagenet/mixer_hub.py:125
Method__init__
( self, dim, num_heads, mlp_ratio=4.0, )
imagenet/mixer_hub.py:194
Method__init__
( self, dim, num_heads, mlp_ratio=4.0, )
imagenet/mixer_hub.py:273
Method__init__
(self, dim)
imagenet/mixer_hub.py:293
Method__init__
(self, dim, mlp_ratio=4.)
imagenet/mixer_hub.py:304
Method__init__
(self, dim)
imagenet/mixer_hub.py:316
Method__init__
(self, dim, mlp_ratio=4.)
imagenet/mixer_hub.py:327
Method__init__
(self, dim)
imagenet/mixer_hub.py:339
Method__init__
(self, dim, mlp_ratio=4.)
imagenet/mixer_hub.py:347
Method__init__
(self, dim)
imagenet/mixer_hub.py:359
Method__init__
(self, dim, mlp_ratio=4.)
imagenet/mixer_hub.py:379
Method__init__
(self, dim)
imagenet/mixer_hub.py:391
Method__init__
(self, dim, mlp_ratio=4.)
imagenet/mixer_hub.py:411
Method__init__
(self, dim)
imagenet/mixer_hub.py:423
Method__init__
(self, dim, mlp_ratio=4.)
imagenet/mixer_hub.py:443
Method__init__
(self, window_size=20, fmt=None)
imagenet/misc.py:30
Method__init__
(self, delimiter="\t")
imagenet/misc.py:88
Method__init__
(self)
imagenet/misc.py:255
Method__init__
( self, in_channels=2, num_classes=11, embed_dims=512, mlp_ratios=4,
imagenet/max_former.py:14
Method__init__
(self, in_channels=2, out_channels=256, kernel_size = 3, stride = 1, padding = 1, shortcut= False)
imagenet/embedding_hub.py:33
Method__init__
(self, in_channels=2, out_channels=256, kernel_size = 3, stride = 1, padding = 1, shortcut= False)
imagenet/embedding_hub.py:62
Method__init__
(self, in_channels=2, embed_dims=256)
imagenet/embedding_hub.py:88
Method__init__
(self, in_channels=2, embed_dims=256)
imagenet/embedding_hub.py:113
Method__init__
(self, in_channels=2, embed_dims=256)
imagenet/embedding_hub.py:137
Method__init__
(self, in_channels=2, embed_dims=256)
imagenet/embedding_hub.py:165
Method__init__
(self, in_channels=2, embed_dims=256)
imagenet/embedding_hub.py:201
Method__init__
(self, in_channels=2, embed_dims=256)
imagenet/embedding_hub.py:223
Method__init__
( self, in_channels=2, embed_dims=256, )
imagenet/ms_qkformer.py:14
Method__init__
(self, in_channels=2, embed_dims=256)
imagenet/ms_qkformer.py:63
Method__init__
(self, *args, **kwargs)
cifar10-100/loader.py:262
Method__init__
(self, sampler)
cifar10-100/loader.py:284
Method__init__
(self, in_features, hidden_features=None, out_features=None)
cifar10-100/mixer_hub.py:6
Method__init__
( self, dim, num_heads, mlp_ratio=4.0 )
cifar10-100/mixer_hub.py:42
Method__init__
(self, dim, num_heads=8)
cifar10-100/mixer_hub.py:65
Method__init__
(self, dim, num_heads=8)
cifar10-100/mixer_hub.py:118
Method__init__
( self, dim, num_heads, mlp_ratio=4.0, )
cifar10-100/mixer_hub.py:187
Method__init__
( self, dim, num_heads, mlp_ratio=4.0, )
cifar10-100/mixer_hub.py:266
Method__init__
(self, dim)
cifar10-100/mixer_hub.py:286
Method__init__
(self, dim, mlp_ratio=4.)
cifar10-100/mixer_hub.py:297
Method__init__
(self, dim)
cifar10-100/mixer_hub.py:309
Method__init__
(self, dim, mlp_ratio=4.)
cifar10-100/mixer_hub.py:320
Method__init__
(self, dim)
cifar10-100/mixer_hub.py:332
Method__init__
(self, dim, mlp_ratio=4.)
cifar10-100/mixer_hub.py:340
Method__init__
(self, dim)
cifar10-100/mixer_hub.py:352
Method__init__
(self, dim, mlp_ratio=4.)
cifar10-100/mixer_hub.py:372
Method__init__
(self, dim)
cifar10-100/mixer_hub.py:384
Method__init__
(self, dim, mlp_ratio=4.)
cifar10-100/mixer_hub.py:404
Method__init__
(self, dim)
cifar10-100/mixer_hub.py:416
Method__init__
(self, dim, mlp_ratio=4.)
cifar10-100/mixer_hub.py:436
Method__init__
(self, in_channels=2, num_classes=11, embed_dims=384, mlp_ratios=4, drop_rate=0.,
cifar10-100/max_former.py:13
Method__init__
(self, in_channels=2, out_channels=256, kernel_size = 3, stride = 1, padding = 1, shortcut= False)
cifar10-100/embedding_hub.py:32
Method__init__
(self, in_channels=2, out_channels=256, kernel_size = 3, stride = 1, padding = 1, shortcut= False)
cifar10-100/embedding_hub.py:60
Method__init__
(self, in_channels=2, embed_dims=256)
cifar10-100/embedding_hub.py:83
Method__init__
(self, in_channels=2, embed_dims=256)
cifar10-100/embedding_hub.py:108
Method__init__
(self, in_channels=2, embed_dims=256)
cifar10-100/embedding_hub.py:129
Method__init__
(self, in_channels=2, embed_dims=256)
cifar10-100/embedding_hub.py:150
Method__init__
(self, in_channels=2, embed_dims=256)
cifar10-100/embedding_hub.py:173
Method__init__
(self, in_channels=2, embed_dims=256)
cifar10-100/embedding_hub.py:208
Method__init__
(self, name, prob=0.5, magnitude=10, hparams=None)
cifar10-100/aa_snn.py:317
Method__init__
(self, policy)
cifar10-100/aa_snn.py:513
Method__init__
(self, ops, num_layers=2, choice_weights=None)
cifar10-100/aa_snn.py:642
Method__init__
(self, ops, alpha=1., width=3, depth=-1, blended=False)
cifar10-100/aa_snn.py:751
Method__init__
(self, in_channels=2, num_classes=11, embed_dims=384, mlp_ratios=4, drop_rate=0.,
cifar10-100/ms_qkformer.py:13
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1)
cifar10-100/max_resnet.py:24
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1)
cifar10-100/max_resnet.py:64
Method__init__
(self, in_features, hidden_features=None, out_features=None)
event/mixer_hub.py:6
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