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Functions736 in github.com/autonomousvision/stylegan-xl

⨍ Functions 736◇ Types & classes 120↳ Endpoints 8
↓ 1 callersFunctionrotate2d
(theta, **kwargs)
training/augment.py:88
↓ 1 callersFunctionrotate3d
(v, theta, **kwargs)
training/augment.py:95
↓ 1 callersFunctionrun_projection
( network_pkl: str, target_fname: str, outdir: str, save_video: bool, seed: int, inv_s
run_inversion.py:247
↓ 1 callersFunctionscale3d
(sx, sy, sz, **kwargs)
training/augment.py:80
↓ 1 callersMethodset_args
(self, **args)
visualizer.py:206
↓ 1 callersMethodset_async
(self, is_async)
visualizer.py:92
↓ 1 callersMethodset_font_size
(self, target)
gui_utils/imgui_window.py:68
↓ 1 callersMethodset_fps_limit
(self, fps_limit)
gui_utils/glfw_window.py:124
↓ 1 callersMethodset_num_features
(self, num_features)
metrics/metric_utils.py:96
↓ 1 callersFunctionsetup_snapshot_image_grid
(training_set, random_seed=0, gw=None, gh=None)
training/training_loop.py:33
↓ 1 callersMethodshould_close
(self)
gui_utils/glfw_window.py:127
↓ 1 callersMethodskip_frames
(self, num)
gui_utils/glfw_window.py:133
↓ 1 callersFunctionspace_regularizer_loss
( G_pti, G_original, w_batch, vgg16, num_of_sampled_latents=1, lpips_lambda=10, )
run_inversion.py:33
↓ 1 callersFunctionstylemc
( ctx: click.Context, network_pkl: str, seeds: List[int], layers: List[int], text_prompt:
run_stylemc.py:297
↓ 1 callersFunctionsubprocess_fn
(rank, c, temp_dir)
train.py:29
↓ 1 callersFunctionsubprocess_fn
(rank, args, temp_dir)
calc_metrics.py:29
↓ 1 callersFunctiontokenize
Returns the tokenized representation of given input string(s) Parameters ---------- texts : Union[str, List[str]] An input s
feature_networks/clip/clip.py:165
↓ 1 callersFunctiontranslate3d
(tx, ty, tz, **kwargs)
training/augment.py:65
↓ 1 callersMethodupdate
(self, image)
gui_utils/gl_utils.py:179
↓ 1 callersFunctionwhitespace_clean
(text)
feature_networks/clip/simple_tokenizer.py:56
↓ 1 callersFunctionwrapped_in_spectral
(m)
torch_utils/misc.py:147
FunctionPYBIND11_MODULE
torch_utils/ops/bias_act.cpp:94
FunctionPYBIND11_MODULE
torch_utils/ops/filtered_lrelu.cpp:294
FunctionPYBIND11_MODULE
torch_utils/ops/upfirdn2d.cpp:102
FunctionUpBlockBig
(in_planes, out_planes)
pg_modules/blocks.py:84
FunctionUpBlockSmall
(in_planes, out_planes)
pg_modules/blocks.py:58
Method__call__
(self, show=True)
viz/layer_widget.py:30
Method__call__
(self, show=True)
viz/trunc_noise_widget.py:25
Method__call__
(self, show=True)
viz/latent_widget.py:29
Method__call__
(self, show=True)
viz/pickle_widget.py:72
Method__call__
(self, show=True)
viz/capture_widget.py:50
Method__call__
(self, show=True)
viz/stylemix_widget.py:23
Method__call__
(self, show=True)
viz/performance_widget.py:27
Method__call__
(self, show=True)
viz/equivariance_widget.py:27
Method__del__
(self)
training/dataset.py:92
Method__del__
(self)
gui_utils/glfw_window.py:53
Method__del__
(self)
gui_utils/gl_utils.py:166
Method__del__
(self)
gui_utils/gl_utils.py:283
Method__delattr__
(self, name: str)
dnnlib/util.py:52
Method__enter__
(self)
dnnlib/util.py:72
Method__exit__
(self, exc_type: Any, exc_value: Any, traceback: Any)
dnnlib/util.py:75
Method__getattr__
(self, name: str)
dnnlib/util.py:43
Method__getitem__
r"""Convenience getter. `collector[name]` is a synonym for `collector.mean(name)`.
torch_utils/training_stats.py:226
Method__getitem__
(self, idx)
training/dataset.py:101
Method__getstate__
(self)
training/dataset.py:223
Method__init__
(self, name, fmt=':f')
run_stylemc.py:28
Method__init__
(self, num_batches, meters, prefix="")
run_stylemc.py:51
Method__init__
(self, capture_dir=None)
visualizer.py:33
Method__init__
(self)
visualizer.py:179
Method__init__
(self, dataset, rank=0, num_replicas=1, shuffle=True, seed=0, window_size=0.5)
torch_utils/misc.py:112
Method__init__
(self, *args, **kwargs)
torch_utils/persistence.py:103
Method__init__
(self, regex='.*', keep_previous=True)
torch_utils/training_stats.py:133
Method__init__
(self, G, G_kwargs, epsilon, space, sampling, crop, vgg16)
metrics/perceptual_path_length.py:36
Method__init__
(self, G=None, G_kwargs={}, dataset_kwargs={}, num_gpus=1, rank=0, device=None, progress=None, cache=True, fea
metrics/metric_utils.py:36
Method__init__
(self, capture_all=False, capture_mean_cov=False, max_items=None)
metrics/metric_utils.py:86
Method__init__
(self, tag=None, num_items=None, flush_interval=1000, verbose=False, progress_fn=None, pfn_lo=0, pfn_hi=1000,
metrics/metric_utils.py:166
Method__init__
(self, start_index=1)
feature_networks/vit.py:19
Method__init__
(self, in_features, start_index=1)
feature_networks/vit.py:32
Method__init__
(self, dim0, dim1)
feature_networks/vit.py:46
Method__init__
(self, prompt, device='cpu')
feature_networks/clip/clip.py:230
Method__init__
(self, bpe_path: str = default_bpe())
feature_networks/clip/simple_tokenizer.py:63
Method__init__
(self, inplanes, planes, stride=1)
feature_networks/clip/model.py:13
Method__init__
(self, spacial_dim: int, embed_dim: int, num_heads: int, output_dim: int = None)
feature_networks/clip/model.py:57
Method__init__
(self, layers, output_dim, heads, input_resolution=224, width=64)
feature_networks/clip/model.py:101
Method__init__
(self, d_model: int, n_head: int, attn_mask: torch.Tensor = None)
feature_networks/clip/model.py:168
Method__init__
(self, width: int, layers: int, heads: int, attn_mask: torch.Tensor = None)
feature_networks/clip/model.py:192
Method__init__
(self, input_resolution: int, patch_size: int, width: int, layers: int, heads: int, output_dim: int)
feature_networks/clip/model.py:203
Method__init__
(self, device, G, D, G_ema, blur_init_sigma=0, blur_fade_kimg=0, train_head_only=False, style
training/loss.py:38
Method__init__
(self, in_features, # Number of input features. out_features, # N
training/networks_stylegan3.py:74
Method__init__
(self, z_dim, # Input latent (Z) dimensionality. c_dim,
training/networks_stylegan3.py:114
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. channels, # Number of o
training/networks_stylegan3.py:182
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. is_torgb,
training/networks_stylegan3.py:266
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. img_resolutio
training/networks_stylegan3.py:412
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. img_resolutio
training/networks_stylegan3.py:501
Method__init__
(self)
training/networks_fastgan.py:14
Method__init__
(self, ngf=128, z_dim=256, nc=3, img_resolution=256, lite=False)
training/networks_fastgan.py:22
Method__init__
(self, ngf=64, z_dim=256, nc=3, img_resolution=256, num_classes=1000, lite=False)
training/networks_fastgan.py:87
Method__init__
(self, path, # Path to directory or zip. resolution = None, # Ensure sp
training/dataset.py:171
Method__init__
(self, in_features, # Number of input features. out_features, # N
training/networks_stylegan2.py:95
Method__init__
(self, in_channels, # Number of input channels. out_channels,
training/networks_stylegan2.py:134
Method__init__
(self, in_channels, # Number of input channels. out_channels,
training/networks_stylegan2.py:192
Method__init__
(self, z_dim, # Input latent (Z) dimensionality, 0 = no latent. c_dim,
training/networks_stylegan2.py:250
Method__init__
(self, in_channels, # Number of input channels. out_channels,
training/networks_stylegan2.py:333
Method__init__
(self, in_channels, out_channels, w_dim, kernel_size=1, conv_clamp=None, channels_last=False)
training/networks_stylegan2.py:397
Method__init__
(self, in_channels, # Number of input channels, 0 = first block. ou
training/networks_stylegan2.py:422
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. img_resolution,
training/networks_stylegan2.py:526
Method__init__
(self, in_channels, # Number of input channels, 0 = first block. tmp_ch
training/networks_stylegan2.py:614
Method__init__
(self, group_size, num_channels=1)
training/networks_stylegan2.py:703
Method__init__
(self, in_channels, # Number of input channels. cmap_dim,
training/networks_stylegan2.py:732
Method__init__
(self, c_dim, # Conditioning label (C) dimensionality. img_resolution
training/networks_stylegan2.py:793
Method__init__
(self, in_features, # Number of input features. out_features, # N
training/networks_stylegan3_resetting.py:78
Method__init__
(self, z_dim, # Input latent (Z) dimensionality. c_dim,
training/networks_stylegan3_resetting.py:118
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. channels, # Number of o
training/networks_stylegan3_resetting.py:205
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. is_torgb,
training/networks_stylegan3_resetting.py:291
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. img_resolutio
training/networks_stylegan3_resetting.py:463
Method__init__
( self, img_resolution, path_stem, head_layers, up_factor, **s
training/networks_stylegan3_resetting.py:596
Method__init__
(self, xflip=0, rotate90=0, xint=0, xint_max=0.125, scale=0, rotate=0, aniso=0, xfrac=0, scale
training/augment.py:123
Method__init__
(self, file_name: str = None, file_mode: str = "w", should_flush: bool = True)
dnnlib/util.py:59
Method__init__
(self, *, title='GlfwWindow', window_width=1920, window_height=1080, deferred_show=True, close_on_esc=True)
gui_utils/glfw_window.py:17
Method__init__
(self, *args, **kwargs)
gui_utils/imgui_window.py:96
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