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Functions231 in github.com/ajbrock/BigGAN-PyTorch

⨍ Functions 231◇ Types & classes 52
Functioninterp_sheet
(G, num_per_sheet, num_midpoints, num_classes, parallel, samples_root, experiment_name, folde
utils.py:918
Methodload_conv
(self, name_pth, name_tf, bias=True)
TFHub/converter.py:158
Functionload_weights
(G, D, state_dict, weights_root, experiment_name, name_suffix=None, G_ema=None, strict=True,
utils.py:712
Methodlog
Assumption: no newlines in the input.
utils.py:753
Functionloss_dcgan_dis
(dis_fake, dis_real)
losses.py:5
Functionloss_dcgan_gen
(dis_fake)
losses.py:11
Functionloss_hinge_dis
(dis_fake, dis_real)
losses.py:17
Functionloss_hinge_gen
(dis_fake)
losses.py:27
Functionname_from_config
(config)
utils.py:976
Functionnew_replicate
(module, device_ids)
sync_batchnorm/replicate.py:89
Methodnr_slaves
(self)
sync_batchnorm/comm.py:136
Functionortho
(model, strength=1e-4, blacklist=[])
utils.py:646
Functionprepare_inception_metrics
(dataset, parallel, no_fid=False)
inception_utils.py:274
Functionprepare_parser
()
utils.py:30
Functionprepare_root
(config)
utils.py:604
Functionprepare_z_y
(G_batch_size, dim_z, nclasses, device='cuda', fp16=False,z_var=1.0)
utils.py:1086
Functionprint_grad_norms
(net)
utils.py:955
Functionprogress
Returns a generator over `items`, printing the number and percentage of items processed and the estimated remaining processing time before yieldi
utils.py:826
Functionquery_gpu
(indices)
utils.py:1036
Methodreplicate
(self, module, device_ids)
sync_batchnorm/replicate.py:64
Functionsample_sheet
(G, classes_per_sheet, num_classes, samples_per_class, parallel, samples_root, experiment_nam
utils.py:877
Functionsave_and_sample
(G, D, G_ema, z_, y_, fixed_z, fixed_y, state_dict, config, experiment_name)
train_fns.py:98
Functionsave_weights
(G, D, state_dict, weights_root, experiment_name, name_suffix=None, G_ema=None)
utils.py:687
Functionseed_rng
(seed)
utils.py:587
Methodsv
(self)
layers.py:83
Functiontest
(G, D, G_ema, z_, y_, state_dict, config, sample, get_inception_metrics, experiment_name, test_log)
train_fns.py:161
Functiontoggle_grad
(model, on_or_off)
utils.py:674
Functiontruncated_z_sample
(batch_size, z_dim, truncation=0.5, seed=None)
TFHub/biggan_v1.py:16
Methodu
(self)
layers.py:77
Functionupdate_config_roots
(config)
utils.py:595
Functionwrite_metadata
(logs_root, experiment_name, config, state_dict)
utils.py:811
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