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Functions282 in github.com/RameenAbdal/CLIP2StyleGAN

⨍ Functions 282◇ Types & classes 64
Methodforward
(self, input)
edits_sg/model.py:48
Methodforward
(self, input)
edits_sg/model.py:69
Methodforward
(self, input)
edits_sg/model.py:88
Methodforward
(self, input)
edits_sg/model.py:114
Methodforward
(self, input)
edits_sg/model.py:151
Methodforward
(self, input, style)
edits_sg/model.py:226
Methodforward
(self, image, noise=None)
edits_sg/model.py:311
Methodforward
(self, input)
edits_sg/model.py:325
Methodforward
(self, input, style, noise=None)
edits_sg/model.py:360
Methodforward
(self, input, style, skip=None)
edits_sg/model.py:379
Methodforward
( self, styles, return_latents=False, inject_index=None, truncation=1,
edits_sg/model.py:499
Methodforward
(self, input)
edits_sg/model.py:629
Methodforward
(self, input)
edits_sg/model.py:679
Methodforward
(ctx, grad_output, out, bias, negative_slope, scale)
edits_sg/op/fused_act.py:22
Methodforward
(ctx, input, bias, negative_slope, scale)
edits_sg/op/fused_act.py:64
Methodforward
(self, input)
edits_sg/op/fused_act.py:106
Methodforward
( ctx, grad_output, kernel, grad_kernel, up, down, pad, g_pad, in_size, out_size )
edits_sg/op/upfirdn2d.py:22
Methodforward
(ctx, input, kernel, up, down, pad)
edits_sg/op/upfirdn2d.py:91
Methodforward
(ctx, input, weight, bias)
edits_sg/op/conv2d_gradfix.py:136
Methodforward
(ctx, grad_output, input)
edits_sg/op/conv2d_gradfix.py:179
Methodforward
(self)
edits_sg/lpips/base_model.py:19
Methodforward
Pred and target are Variables. If normalize is True, assumes the images are between [0,1] and then scales them between [-1,+1]
edits_sg/lpips/__init__.py:26
Methodforward
(self, X)
edits_sg/lpips/pretrained_networks.py:36
Methodforward
(self, X)
edits_sg/lpips/pretrained_networks.py:81
Methodforward
(self, X)
edits_sg/lpips/pretrained_networks.py:121
Methodforward
(self, X)
edits_sg/lpips/pretrained_networks.py:163
Methodforward
(self, in0, in1, retPerLayer=False)
edits_sg/lpips/networks_basic.py:64
Methodforward
(self, inp)
edits_sg/lpips/networks_basic.py:100
Methodforward
(self,d0,d1,eps=0.1)
edits_sg/lpips/networks_basic.py:128
Methodforward
(self, d0, d1, judge)
edits_sg/lpips/networks_basic.py:138
Methodforward
(self, in0, in1, retPerLayer=None)
edits_sg/lpips/networks_basic.py:169
Methodforward
(self, x: torch.Tensor)
clipmod/model.py:40
Methodforward
(self, x)
clipmod/model.py:66
Methodforward
(self, x)
clipmod/model.py:135
Methodforward
(self, x: torch.Tensor)
clipmod/model.py:156
Methodforward
(self, x: torch.Tensor)
clipmod/model.py:163
Methodforward
(self, x: torch.Tensor)
clipmod/model.py:185
Methodforward
(self, x: torch.Tensor)
clipmod/model.py:198
Methodforward
(self, x: torch.Tensor)
clipmod/model.py:219
Functionfused_bias_act
edits_sg/op/fused_bias_act.cpp:18
Functiongather_grad
(params)
edits_sg/distributed.py:57
Methodget_current_errors
(self)
edits_sg/lpips/dist_model.py:171
Methodget_current_errors
(self)
edits_sg/lpips/base_model.py:31
Methodget_current_visuals
(self)
edits_sg/lpips/dist_model.py:180
Methodget_current_visuals
(self)
edits_sg/lpips/base_model.py:28
Methodget_image_paths
(self)
edits_sg/lpips/base_model.py:22
Methodget_latent
(self, input)
edits_sg/swagan.py:252
Functionget_rank
()
edits_sg/distributed.py:9
Methodinitialize
(self, use_gpu=True, gpu_ids=[0])
edits_sg/lpips/base_model.py:15
Functioniwt_init
(x)
edits_sg/swagan.py:53
Functionl2
(p0, p1, range=255.)
edits_sg/lpips/__init__.py:46
Methodload_network
(self, network, network_label, epoch_label)
edits_sg/lpips/base_model.py:44
Functionmake_grid
(shape, x0, x1, y0, y1, device)
edits_sg/non_leaking.py:286
Methodmake_noise
(self)
edits_sg/swagan.py:233
Methodmean_latent
(self, n_latent)
edits_sg/swagan.py:244
Methodname
(self)
edits_sg/lpips/base_model.py:12
Functionno_weight_gradients
()
edits_sg/op/conv2d_gradfix.py:13
Functionnormalize_tensor
(in_feat,eps=1e-10)
edits_sg/lpips/__init__.py:42
Methodoptimize_parameters
(self)
edits_sg/lpips/dist_model.py:120
Methodoptimize_parameters
(self)
edits_sg/lpips/base_model.py:25
Functionprint_network
(net)
edits_sg/lpips/networks_basic.py:182
Functionpsnr
(p0, p1, peak=255.)
edits_sg/lpips/__init__.py:49
Functionreduce_loss_dict
(loss_dict)
edits_sg/distributed.py:104
Functionresize_worker
(img_file, sizes, resample)
edits_sg/prepare_data.py:34
Functionreverse_tokenize
(token)
clipmod/clip.py:228
Functionrgb2lab
(in_img,mean_cent=False)
edits_sg/lpips/__init__.py:55
Methodsave_done
(self, flag=False)
edits_sg/lpips/base_model.py:56
Functionscore_2afc_dataset
Function computes Two Alternative Forced Choice (2AFC) score using distance function 'func' in dataset 'data_loader' INPUTS data_
edits_sg/lpips/dist_model.py:212
Functionscore_jnd_dataset
Function computes JND score using distance function 'func' in dataset 'data_loader' INPUTS data_loader - CustomDatasetDataLoader object -
edits_sg/lpips/dist_model.py:247
Methodset_input
(self, data)
edits_sg/lpips/dist_model.py:132
Functionslerp
(a, b, t)
edits_sg/ppl.py:16
Methodstem
(x)
clipmod/model.py:136
Functionsynchronize
()
edits_sg/distributed.py:19
Functiontensor2tensorlab
(image_tensor,to_norm=True,mc_only=False)
edits_sg/lpips/__init__.py:70
Functiontensor2vec
(vector_tensor)
edits_sg/lpips/__init__.py:115
Functiontensorlab2tensor
(lab_tensor,return_inbnd=False)
edits_sg/lpips/__init__.py:84
Functiontokenize
Returns the tokenized representation of given input string(s) Parameters ---------- texts : Union[str, List[str]] An input s
clipmod/clip.py:189
Methodtune
(self, real_pred)
edits_sg/non_leaking.py:24
Methodupdate_learning_rate
(self,nepoch_decay)
edits_sg/lpips/dist_model.py:202
Methodupdate_learning_rate
()
edits_sg/lpips/base_model.py:50
Functionupfirdn2d
edits_sg/op/upfirdn2d.cpp:17
Functionvoc_ap
ap = voc_ap(rec, prec, [use_07_metric]) Compute VOC AP given precision and recall. If use_07_metric is true, uses the VOC 07 11 point met
edits_sg/lpips/__init__.py:118
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