Functions — github.com/ChongQingNoSubway/SelfReg-UNet

hub / github.com/ChongQingNoSubway/SelfReg-UNet / functions

Functions3,840 in github.com/ChongQingNoSubway/SelfReg-UNet

⨍ Functions 3,840◇ Types & classes 731

↓ 1 callersFunctionadapt_model_from_file

(parent_module, model_variant)

src/train_acdc/lib/models_timm/helpers.py:422

↓ 1 callersFunctionadapt_model_from_string

(parent_module, model_string)

src/train_acdc/lib/models_timm/helpers.py:365

↓ 1 callersFunctionadaptive_pool_feat_mult

(pool_type='avg')

src/train_acdc/lib/models_timm/layers/adaptive_avgmax_pool.py:17

↓ 1 callersFunctionadjust_widths_groups_comp

Adjusts the compatibility of widths and groups.

src/train_acdc/lib/models_timm/regnet.py:178

↓ 1 callersMethodany_requires_grad

(self, x)

src/train_acdc/lib/models_timm/densenet.py:68

↓ 1 callersFunctionbasic_blocks

generate PoolFormer blocks for a stage

src/train_acdc/lib/models_timm/poolformer.py:136

↓ 1 callersFunctionbchw_to_bhwc

Permutes a tensor from the shape (B, C, H, W) to (B, H, W, C).

src/train_acdc/lib/models_timm/swin_transformer_v2_cr.py:104

↓ 1 callersMethodbinary_loader

(self, path)

src/train_acdc/utils/dataloader.py:99

↓ 1 callersMethodbinary_loader

(self, path)

src/train_acdc/utils/dataloader.py:185

↓ 1 callersMethodbinary_loader

(self, path)

src/train_synase/utils/dataloader.py:99

↓ 1 callersMethodbinary_loader

(self, path)

src/train_synase/utils/dataloader.py:185

↓ 1 callersFunctionbuild_rotary_pos_embed

NOTE: shape arg should include spatial dim only

src/train_acdc/lib/models_timm/layers/pos_embed.py:163

↓ 1 callersFunctioncalculate_dice_percase

(pred, gt)

src/train_acdc/utils/utils.py:181

↓ 1 callersFunctioncalculate_dice_percase

(pred, gt)

src/train_synase/utils/utils.py:181

↓ 1 callersFunctioncalculate_metric_percase

(pred, gt)

src/train_acdc/utils/utils.py:149

↓ 1 callersFunctioncalculate_metric_percase

(pred, gt)

src/train_acdc/modelsHiFormer/utils.py:590

↓ 1 callersFunctioncalculate_metric_percase

(pred, gt)

src/train_synase/utils/utils.py:149

↓ 1 callersFunctioncalculate_metric_percase

(pred, gt)

src/train_synase/modelsHiFormer/utils.py:590

↓ 1 callersFunctioncalculate_metric_percase_dice

(pred, gt)

src/train_acdc/utils/utils.py:164

↓ 1 callersFunctioncalculate_metric_percase_dice

(pred, gt)

src/train_synase/utils/utils.py:164

↓ 1 callersMethodcall_checkpoint_bottleneck

(self, x)

src/train_acdc/lib/models_timm/densenet.py:76

↓ 1 callersFunctioncfg_window_size

(cfg: MaxxVitTransformerCfg, img_size: Tuple[int, int])

src/train_acdc/lib/maxxvit_4out.py:1587

↓ 1 callersFunctioncfg_window_size

(cfg: MaxxVitTransformerCfg, img_size: Tuple[int, int])

src/train_acdc/lib/models_timm/maxxvit.py:1587

↓ 1 callersMethodchannels

feature channels accessor

src/train_acdc/lib/models_timm/features.py:62

↓ 1 callersFunctioncheckpoint_filter_fn

preprocess checkpoints

src/train_acdc/lib/models_timm/pit.py:266

↓ 1 callersFunctioncompute_cam_single_class

(net, testloader, args)

src/visualize_cam.py:42

↓ 1 callersFunctionconv3x3

(cin, cout, stride=1, groups=1, bias=False)

src/train_acdc/networks_trans/vit_seg_modeling_resnet_skip.py:28

↓ 1 callersFunctionconv3x3

(cin, cout, stride=1, groups=1, bias=False)

src/train_synase/networks_trans/vit_seg_modeling_resnet_skip.py:28

↓ 1 callersFunctioncosine_scheduler

(base_value, final_value, epochs, niter_per_ep, warmup_epochs=0, start_warmup_value=0)

src/train_synase/trainer_unet.py:88

↓ 1 callersFunctioncosine_scheduler

(base_value, final_value, epochs, niter_per_ep, warmup_epochs=0, start_warmup_value=0)

src/train_synase/trainer.py:96

↓ 1 callersFunctioncreate_aa

(aa_layer, channels, stride=2, enable=True)

src/train_acdc/lib/models_timm/layers/conv_bn_act.py:44

↓ 1 callersFunctioncreate_block

(block: Union[str, nn.Module], **kwargs)

src/train_acdc/lib/models_timm/byobnet.py:1267

↓ 1 callersFunctioncreate_byob_stages

( cfg: ByoModelCfg, drop_path_rate: float, output_stride: int, stem_feat: Dict[str, Any], feat

src/train_acdc/lib/models_timm/byobnet.py:1409

↓ 1 callersFunctioncreate_byob_stem

(in_chs, out_chs, stem_type='', pool_type='', feat_prefix='stem', layers: LayerFn = None)

src/train_acdc/lib/models_timm/byobnet.py:1322

↓ 1 callersFunctioncreate_csp_stages

( cfg: CspModelCfg, drop_path_rate: float, output_stride: int, stem_feat: Dict

src/train_acdc/lib/models_timm/cspnet.py:801

↓ 1 callersFunctioncreate_csp_stem

( in_chans=3, out_chs=32, kernel_size=3, stride=2, pool='', pa

src/train_acdc/lib/models_timm/cspnet.py:711

↓ 1 callersFunctioncreate_stem

(in_chs, out_chs, stem_type='', conv_layer=None, act_layer=None, preact_feature=True)

src/train_acdc/lib/models_timm/nfnet.py:370

↓ 1 callersFunctiondense_knn_matrix

Get KNN based on the pairwise distance. Args: x: (batch_size, num_dims, num_points, 1) k: int Returns: nearest neighbo

src/train_acdc/lib/gcn_lib/torch_edge.py:54

↓ 1 callersFunctiondownload_cached_file

(url, check_hash=True, progress=False)

src/train_acdc/lib/models_timm/hub.py:43

↓ 1 callersFunctiondownsample_avg

( in_channels, out_channels, kernel_size, stride=1, dilation=1, first_dilation=None, norm_layer=None)

src/train_acdc/lib/models_timm/resnet.py:484

↓ 1 callersFunctiondownsample_avg

AvgPool Downsampling as in 'D' ResNet variants. This is not in RegNet space but I might experiment.

src/train_acdc/lib/models_timm/regnet.py:213

↓ 1 callersFunctiondownsample_conv

( in_channels, out_channels, kernel_size, stride=1, dilation=1, first_dilation=None, norm_layer=None)

src/train_acdc/lib/models_timm/resnet.py:470

↓ 1 callersFunctiondownsample_conv

(in_chs, out_chs, kernel_size=1, stride=1, dilation=1, norm_layer=None, preact=False)

src/train_acdc/lib/models_timm/regnet.py:202

↓ 1 callersFunctiondrop_block_2d

DropBlock. See https://arxiv.org/pdf/1810.12890.pdf DropBlock with an experimental gaussian noise option. This layer has been tested on a few tr

src/train_acdc/lib/models_timm/layers/drop.py:22

↓ 1 callersFunctiondrop_block_fast_2d

DropBlock. See https://arxiv.org/pdf/1810.12890.pdf DropBlock with an experimental gaussian noise option. Simplied from above without concern fo

src/train_acdc/lib/models_timm/layers/drop.py:70

↓ 1 callersFunctiondrop_blocks

(drop_prob=0.)

src/train_acdc/lib/models_timm/resnet.py:501

↓ 1 callersFunctiondrop_path

Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks). This is the same as the DropConnect impl I created for E

src/train_acdc/lib/models_timm/layers/drop.py:137

↓ 1 callersFunctionefficientnet_b2

EfficientNet-B2

src/train_acdc/lib/models_timm/efficientnet.py:1398

↓ 1 callersFunctionefficientnet_b3

EfficientNet-B3

src/train_acdc/lib/models_timm/efficientnet.py:1414

↓ 1 callersFunctionexpand_blocks_cfg

(stage_blocks_cfg: Union[ByoBlockCfg, Sequence[ByoBlockCfg]])

src/train_acdc/lib/models_timm/byobnet.py:903

↓ 1 callersFunctionextract_layer

(model, layer)

src/train_acdc/lib/models_timm/helpers.py:323

↓ 1 callersMethodfeat_channels

(self, exp=False)

src/train_acdc/lib/models_timm/rexnet.py:82

↓ 1 callersMethodfeature_info

(self, location)

src/train_acdc/lib/models_timm/efficientnet_blocks.py:75

↓ 1 callersMethodfilter_files

(self)

src/train_acdc/utils/dataloader.py:81

↓ 1 callersMethodfilter_files

(self)

src/train_synase/utils/dataloader.py:81

↓ 1 callersFunctionfilter_kwargs

(kwargs, names)

src/train_acdc/lib/models_timm/helpers.py:457

↓ 1 callersMethodfix_init_weight

(self)

src/train_acdc/lib/models_timm/beit.py:310

↓ 1 callersMethodflops

(self)

src/train_acdc/modelsHiFormer/utils.py:404

↓ 1 callersMethodflops

(self)

src/train_synase/modelsHiFormer/utils.py:404

↓ 1 callersMethodforward

(self, x)

src/train_acdc/lib/models_timm/layers/norm_act.py:195

↓ 1 callersMethodforward

(self, x)

src/train_acdc/lib/gcn_lib/torch_vertex.py:173

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/network/swin_transformer_unet_skip_expand_decoder_sys.py:705

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/maxxvit_4out.py:1708

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/pvtv2.py:315

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/levit.py:517

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/pit.py:232

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/xception.py:197

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/cait.py:308

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/vovnet.py:345

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/pnasnet.py:316

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/gluon_xception.py:206

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/edgenext.py:449

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/ghostnet.py:217

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/resnetv2.py:434

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/inception_v3.py:392

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/inception_v3.py:418

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/xception_aligned.py:238

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/senet.py:379

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/xcit.py:434

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/crossvit.py:388

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/hrnet.py:722

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/dpn.py:268

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/densenet.py:274

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/byobnet.py:1546

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/mobilenetv3.py:192

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/visformer.py:292

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/beit.py:357

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/rexnet.py:191

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/tresnet.py:267

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/convnext.py:396

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/cspnet.py:930

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/inception_v4.py:306

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/selecsls.py:197

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/nasnet.py:532

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/nfnet.py:569

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/tnt.py:240

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/efficientformer.py:463

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/convmixer.py:88

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/convit.py:314

↓ 1 callersMethodforward_features

(self, x)

src/train_acdc/lib/models_timm/swin_transformer.py:553

← previous next →601–700 of 3,840, ranked by callers