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Functions415 in github.com/Cold-Winter/BachGAN

↓ 1 callersFunctionq
(a)
docs/b5m.js:1
↓ 1 callersFunctionraw_popup
(url, target, features)
docs/popup.js:6
↓ 1 callersMethodrecord_current_iter
(self)
util/iter_counter.py:62
↓ 1 callersMethodrecord_epoch_end
(self)
util/iter_counter.py:52
↓ 1 callersMethodrecord_epoch_start
(self, epoch)
util/iter_counter.py:36
↓ 1 callersMethodrecord_one_iteration
(self)
util/iter_counter.py:42
↓ 1 callersMethodregister_slave
Register an slave device. Args: identifier: an identifier, usually is the device id. Returns: a `SlavePipe` obj
models/networks/sync_batchnorm/comm.py:84
↓ 1 callersMethodreparameterize
(self, mu, logvar)
models/pix2pix_dualunpair.py:312
↓ 1 callersMethodreparameterize
(self, mu, logvar)
models/pix2pix_dual_segspademodel.py:339
↓ 1 callersMethodreparameterize
(self, mu, logvar)
models/pix2pix_dualmodel.py:312
↓ 1 callersMethodreparameterize
(self, mu, logvar)
models/pix2pix_model.py:471
↓ 1 callersMethodreset_running_stats
(self)
models/networks/sync_batchnorm/batchnorm_reimpl.py:39
↓ 1 callersMethodrun_discriminator_one_step
(self, data)
trainers/pix2pix_trainer.py:53
↓ 1 callersMethodrun_generator_one_step
(self, data)
trainers/pix2pix_trainer.py:44
↓ 1 callersMethodrun_master
Main entry for the master device in each forward pass. The messages were first collected from each devices (including the master devi
models/networks/sync_batchnorm/comm.py:102
↓ 1 callersMethodrun_slave
(self, msg)
models/networks/sync_batchnorm/comm.py:49
↓ 1 callersMethodsave_images
(self, webpage, visuals, image_path)
util/visualizer.py:141
↓ 1 callersMethodsave_options
(self, opt)
options/base_options.py:131
↓ 1 callersMethodshortcut
(self, x, seg)
models/networks/architecture.py:66
↓ 1 callersMethodshortcut
(self, x, seg)
models/networks/architecture.py:133
↓ 1 callersMethodshortcut_fine
(self, x, seg)
models/networks/architecture.py:139
↓ 1 callersFunctiont
(a)
docs/b5m.js:1
↓ 1 callersFunctiontensor2im
(image_tensor, imtype=np.uint8, normalize=True, tile=False)
util/util.py:64
↓ 1 callersMethodtoJson
(self)
data/city_helpers/annotation.py:189
↓ 1 callersMethodtoJsonText
(self)
data/city_helpers/annotation.py:123
↓ 1 callersFunctiontqdm
(x)
pytorch-fid/fid_score.py:55
↓ 1 callersMethodtraining_epochs
(self)
util/iter_counter.py:33
↓ 1 callersFunctionuint82bin
returns the binary of integer n, count refers to amount of bits
util/util.py:232
↓ 1 callersMethodupdate_learning_rate
(self, epoch)
trainers/pix2pix_trainer.py:67
↓ 1 callersMethodupdate_options_from_file
(self, parser, opt)
options/base_options.py:144
FunctionW3CDOM_Event
(currentTarget)
docs/lib.js:196
Method__call__
(self, input, target_is_real, for_discriminator=True)
models/networks/loss.py:84
Method__call__
(self, gray_image)
util/util.py:282
Method__getitem__
(self, index)
data/ade20k_dataset.py:209
Method__getitem__
(self, index)
data/cityscapes_dataset.py:161
Method__getitem__
(self, index)
data/image_folder.py:87
Method__getstate__
(self)
models/networks/sync_batchnorm/comm.py:78
Method__init__
(self)
data/base_dataset.py:14
Method__init__
(self, root, transform=None, return_paths=False, loader=default_loader)
data/image_folder.py:73
Method__init__
(self, objType)
data/city_helpers/annotation.py:29
Method__init__
(self)
data/city_helpers/annotation.py:140
Method__init__
(self, objType=CsObjectType.POLY)
data/city_helpers/annotation.py:179
Method__init__
(self, in_channels, pool_features)
pytorch-fid/inception.py:195
Method__init__
(self, in_channels, channels_7x7)
pytorch-fid/inception.py:220
Method__init__
(self, in_channels)
pytorch-fid/inception.py:248
Method__init__
(self, in_channels)
pytorch-fid/inception.py:281
Method__init__
(self)
options/base_options.py:17
Method__init__
(self, opt)
trainers/pix2pix_trainer.py:19
Method__init__
(self, opt)
models/pix2pix_dualunpair.py:18
Method__init__
(self, opt)
models/pix2pix_dual_segspademodel.py:18
Method__init__
(self, opt)
models/pix2pix_dualmodel.py:18
Method__init__
(self, opt)
models/pix2pix_model.py:19
Method__init__
(self, gpu_ids)
models/networks/loss.py:103
Method__init__
(self)
models/networks/base_network.py:11
Method__init__
(self, opt)
models/networks/discriminator.py:30
Method__init__
(self, fin, fout, opt)
models/networks/architecture.py:22
Method__init__
(self, fin, fout, opt)
models/networks/architecture.py:77
Method__init__
(self, dim, norm_layer, activation=nn.ReLU(False), kernel_size=3)
models/networks/architecture.py:153
Method__init__
(self, opt)
models/networks/encoder.py:16
Method__init__
(self, config_text, norm_nc, label_nc)
models/networks/normalization.py:67
Method__init__
(self, opt)
models/networks/generator.py:256
Method__init__
(self, opt)
models/networks/generator.py:382
Method__init__
(self, opt)
models/networks/generator.py:550
Method__init__
(self)
models/networks/sync_batchnorm/comm.py:21
Method__init__
(self, num_features, eps=1e-5, momentum=0.1)
models/networks/sync_batchnorm/batchnorm_reimpl.py:27
Method__init__
(self, num_features, eps=1e-5, momentum=0.1, affine=True)
models/networks/sync_batchnorm/batchnorm.py:52
Method__init__
(self, opt, dataset_size)
util/iter_counter.py:13
Method__init__
(self, web_dir, title, refresh=0)
util/html.py:13
Method__init__
(self, opt)
util/visualizer.py:18
Method__init__
(self, n=35)
util/util.py:278
Method__len__
(self)
data/pix2pix_dataset.py:212
Method__len__
(self)
data/image_folder.py:97
Function__resize
(img, w, h, method=Image.BICUBIC)
scripts/retrival_seg_ade20k.py:125
Function__resize
(img, w, h, method=Image.BICUBIC)
scripts/retrival_ious_ade20k_halfset/retrival_seg_ade20k.py:125
Method__setstate__
(self, state)
models/networks/sync_batchnorm/comm.py:81
Method__str__
(self)
data/city_helpers/annotation.py:49
Method__str__
(self)
data/city_helpers/annotation.py:81
Method__str__
(self)
data/city_helpers/annotation.py:149
Method_check_input_dim
(self, input)
models/networks/sync_batchnorm/batchnorm.py:267
Method_check_input_dim
(self, input)
models/networks/sync_batchnorm/batchnorm.py:331
Method_data_parallel_master
Reduce the sum and square-sum, compute the statistics, and broadcast it.
models/networks/sync_batchnorm/batchnorm.py:105
Functionadd_norm_layer
(layer)
models/networks/normalization.py:24
MethodassertTensorClose
(self, x, y)
models/networks/sync_batchnorm/unittest.py:16
FunctionassureSingleInstanceName
( name )
data/city_helpers/labels.py:135
Functionconvert_model
Traverse the input module and its child recursively and replace all instance of torch.nn.modules.batchnorm.BatchNorm*N*d to Synchronized
models/networks/sync_batchnorm/batchnorm.py:353
Functioncopyconf
(default_opt, **kwargs)
util/util.py:32
Functioncreate_dataloader
(opt)
data/__init__.py:41
Functioncreate_model
(opt)
models/__init__.py:39
Methodcreate_optimizers
(self, opt)
models/pix2pix_dualunpair.py:72
Methodcreate_optimizers
(self, opt)
models/pix2pix_dual_segspademodel.py:70
Methodcreate_optimizers
(self, opt)
models/pix2pix_dualmodel.py:72
Functiondefault_loader
(path)
data/image_folder.py:67
Functiondefine_D
(opt)
models/networks/__init__.py:55
Functiondefine_E
(opt)
models/networks/__init__.py:60
Functiondefine_G
(opt)
models/networks/__init__.py:50
Methoddelete
(self)
data/city_helpers/annotation.py:67
FunctionensurePath
(path)
data/city_helpers/csHelpers.py:116
Functionevent_popup
(e)
docs/popup.js:21
Functionevent_popup_features
(features)
docs/popup.js:28
Functionfind_class_in_module
(target_cls_name, module)
util/util.py:188
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