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Functions576 in github.com/JCBrouwer/maua-stylegan2

Methodforward
(self, x)
validation/calc_inception.py:19
Methodforward
Get Inception feature maps Parameters ---------- inp : torch.autograd.Variable Input tensor of shape Bx3xHxW. Val
validation/inception.py:129
Methodforward
(self, x)
validation/inception.py:194
Methodforward
(self, x)
validation/inception.py:219
Methodforward
(self, x)
validation/inception.py:247
Methodforward
(self, x)
validation/inception.py:280
Methodforward
(self)
validation/lpips/base_model.py:16
Methodforward
Pred and target are Variables. If normalize is True, assumes the images are between [0,1] and then scales them between [-1,+1]
validation/lpips/__init__.py:30
Methodforward
(self, X)
validation/lpips/pretrained_networks.py:36
Methodforward
(self, X)
validation/lpips/pretrained_networks.py:81
Methodforward
(self, X)
validation/lpips/pretrained_networks.py:122
Methodforward
(self, X)
validation/lpips/pretrained_networks.py:163
Methodforward
(self, in0, in1, retPerLayer=False)
validation/lpips/networks_basic.py:67
Methodforward
(self, inp)
validation/lpips/networks_basic.py:106
Methodforward
(self, d0, d1, eps=0.1)
validation/lpips/networks_basic.py:150
Methodforward
(self, d0, d1, judge)
validation/lpips/networks_basic.py:161
Methodforward
(self, in0, in1, retPerLayer=None)
validation/lpips/networks_basic.py:198
Methodforward
(self, inputs)
models/stylegan2.py:19
Methodforward
(self, inputs)
models/stylegan2.py:49
Methodforward
(self, inputs)
models/stylegan2.py:70
Methodforward
(self, inputs)
models/stylegan2.py:89
Methodforward
(self, inputs)
models/stylegan2.py:111
Methodforward
(self, inputs)
models/stylegan2.py:140
Methodforward
(self, inputs)
models/stylegan2.py:158
Methodforward
(self, inputs, style)
models/stylegan2.py:217
Methodforward
(self, image, noise=None)
models/stylegan2.py:262
Methodforward
(self, inputs)
models/stylegan2.py:275
Methodforward
(self, inputs)
models/stylegan2.py:290
Methodforward
(self, input, tranforms_dict_list)
models/stylegan2.py:302
Methodforward
(self, inputs, style, noise=None, transform_dict_list=[])
models/stylegan2.py:338
Methodforward
(self, inputs, style, skip=None)
models/stylegan2.py:356
Methodforward
( self, styles, return_latents=False, return_activation_maps=False, in
models/stylegan2.py:492
Methodforward
(self, inputs)
models/stylegan2.py:635
Methodforward
(self, inputs)
models/stylegan2.py:685
Methodforward
(self, x)
models/autoencoder.py:21
Methodforward
(self, x)
models/autoencoder.py:27
Methodforward
(self, x)
models/autoencoder.py:37
Methodforward
(self, input)
models/autoencoder.py:125
Methodforward
(self, inputs)
models/autoencoder.py:166
Methodforward
(self, inputs)
models/autoencoder.py:178
Methodforward
(self, inputs)
models/autoencoder.py:194
Methodforward
(self, inputs, indices, output_shape)
models/autoencoder.py:210
Methodforward
(self, inputs, indices, output_shape)
models/autoencoder.py:225
Methodforward
(self, inputs)
models/autoencoder.py:286
Methodforward
(self, inputs)
models/autoencoder.py:395
Methodforward
(self, inputs)
models/autoencoder.py:475
Methodforward
(self, x)
models/autoencoder.py:506
Methodforward
(self, x)
models/autoencoder.py:522
Methodforward
(self, x)
models/autoencoder.py:547
Methodforward
(self, x)
models/autoencoder.py:588
Methodforward
(self, x)
models/autoencoder.py:604
Methodforward
(self, x)
models/autoencoder.py:629
Methodforward
(self, x)
models/autoencoder.py:677
Methodforward
(self, x)
models/stylegan1.py:34
Methodforward
(self, x)
models/stylegan1.py:77
Methodforward
(self, x)
models/stylegan1.py:116
Methodforward
(self, x, latent)
models/stylegan1.py:131
Methodforward
(self, x)
models/stylegan1.py:144
Methodforward
(self, x)
models/stylegan1.py:162
Methodforward
(self, x)
models/stylegan1.py:187
Methodforward
(self, x)
models/stylegan1.py:217
Methodforward
(self, x)
models/stylegan1.py:231
Methodforward
(self, x, dlatents_in_slice, noise)
models/stylegan1.py:290
Methodforward
(self, dlatents_in_range, noise)
models/stylegan1.py:351
Methodforward
(self, x, dlatents_in_range, noise)
models/stylegan1.py:410
Methodforward
(self, dlatents_in, noise)
models/stylegan1.py:497
Methodforward
(self, x)
audioreactive/bend.py:24
Methodforward
(self, x)
audioreactive/bend.py:39
Methodforward
(self, x)
audioreactive/bend.py:46
Functionfused_bias_act
op/fused_bias_act.cpp:11
Functiongather_grad
(params)
distributed.py:55
Functiongenerate_latents
Generates random, mapped latents Args: n_latents (int): Number of mapped latents to generate ckpt (str): Generator checkpoint to
audioreactive/latent.py:136
Functionget_bends
(args)
audioreactive/examples/tauceti.py:94
Methodget_current_errors
(self)
validation/lpips/dist_model.py:186
Methodget_current_errors
(self)
validation/lpips/base_model.py:28
Methodget_current_visuals
(self)
validation/lpips/dist_model.py:194
Methodget_current_visuals
(self)
validation/lpips/base_model.py:25
Functionget_dataset_inception_features
(loader, inception_name, size)
validation/metrics.py:155
Methodget_image_paths
(self)
validation/lpips/base_model.py:19
Methodget_la_step
(self)
lookahead_minimax.py:73
Functionget_latent_loops
(base_latent_selection, loop_starting_latents, n_frames, num_loops, smoothing, s=True)
generate_video.py:145
Functionget_latents
(selection, args)
audioreactive/examples/tauceti.py:29
Functionget_latents
(selection, args)
audioreactive/examples/kelp.py:38
Functionget_latents
(selection, args)
audioreactive/examples/temper.py:22
Functionget_noise
(height, width, scale, num_scales, args)
audioreactive/examples/tauceti.py:75
Functionget_noise
(height, width, scale, num_scales, args)
audioreactive/examples/kelp.py:90
Functionget_noise
(height, width, scale, num_scales, args)
audioreactive/examples/temper.py:57
Functionget_spectral_norms
(model)
lightning.py:25
Methodheight
(self)
select_latents.py:197
Methodhook
(_, __, output)
contrastive_learner.py:138
Functionidentity
(x)
contrastive_learner.py:10
Functioninfo
(x)
accelerate/accelerate_inception.py:14
Functioninfo
(x)
accelerate/accelerate_segnet.py:13
Functioninfo
(x)
models/autoencoder.py:13
Functioninfo
Shows statistics and shape information of (lists of) np.arrays/th.tensors Args: arr (np.array/th.tensor/list): List of or single np.array
audioreactive/util.py:11
Methodinit_vgg16_params
(self, vgg16)
models/autoencoder.py:301
Functioninitialize
(args)
audioreactive/examples/tauceti.py:23
Functioninitialize
(args)
audioreactive/examples/temper.py:14
Functioninitialize
(args)
audioreactive/examples/default.py:6
Methodinitialize
(self, use_gpu=True, gpu_ids=[0])
validation/lpips/base_model.py:12
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