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Functions485 in github.com/NVlabs/stylegan3

⨍ Functions 485◇ Types & classes 61↳ Endpoints 5
↓ 1 callersFunctionnan_to_num
(input, nan=0.0, posinf=None, neginf=None, *, out=None)
torch_utils/misc.py:49
↓ 1 callersMethodnum
r"""Returns the number of scalars that were accumulated for the given statistic between the last two calls to `update()`, or zero if n
torch_utils/training_stats.py:180
↓ 1 callersFunctionopen_cifar10
(tarball: str, *, max_images: Optional[int])
dataset_tool.py:154
↓ 1 callersFunctionopen_dataset
(source, *, max_images: Optional[int])
dataset_tool.py:267
↓ 1 callersFunctionopen_dest
(dest: str)
dataset_tool.py:287
↓ 1 callersFunctionopen_image_folder
(source_dir, *, max_images: Optional[int])
dataset_tool.py:69
↓ 1 callersFunctionopen_image_zip
(source, *, max_images: Optional[int])
dataset_tool.py:97
↓ 1 callersFunctionopen_lmdb
(lmdb_dir: str, *, max_images: Optional[int])
dataset_tool.py:126
↓ 1 callersFunctionopen_mnist
(images_gz: str, *, max_images: Optional[int])
dataset_tool.py:186
↓ 1 callersFunctionpersistent_class
r"""Class decorator that extends a given class to save its source code when pickled. Example: from torch_utils import persistence
torch_utils/persistence.py:35
↓ 1 callersMethodpop_captured_frame
(self)
gui_utils/glfw_window.py:142
↓ 1 callersMethodpop_drag_and_drop_paths
(self)
gui_utils/glfw_window.py:147
↓ 1 callersMethodprint_error
(self, error)
visualizer.py:80
↓ 1 callersFunctionrecurse
(obj)
torch_utils/persistence.py:236
↓ 1 callersFunctionreport
r"""Broadcasts the given set of scalars to all interested instances of `Collector`, across device and process boundaries. This function is ex
torch_utils/training_stats.py:56
↓ 1 callersFunctionrotate2d
(theta, **kwargs)
training/augment.py:88
↓ 1 callersFunctionrotate3d
(v, theta, **kwargs)
training/augment.py:95
↓ 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:82
↓ 1 callersFunctionsetup_snapshot_image_grid
(training_set, random_seed=0)
training/training_loop.py:31
↓ 1 callersMethodshould_close
(self)
gui_utils/glfw_window.py:127
↓ 1 callersMethodskip_frames
(self, num)
gui_utils/glfw_window.py:133
↓ 1 callersFunctionsubprocess_fn
(rank, c, temp_dir)
train.py:27
↓ 1 callersFunctionsubprocess_fn
(rank, args, temp_dir)
calc_metrics.py:29
↓ 1 callersFunctiontranslate3d
(tx, ty, tz, **kwargs)
training/augment.py:65
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:78
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:87
Method__getstate__
(self)
training/dataset.py:209
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)
metrics/metric_utils.py:24
Method__init__
(self, capture_all=False, capture_mean_cov=False, max_items=None)
metrics/metric_utils.py:72
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:152
Method__init__
(self, device, G, D, augment_pipe=None, r1_gamma=10, style_mixing_prob=0, pl_weight=0, pl_batch_shrink=2, pl_d
training/loss.py:26
Method__init__
(self, in_features, # Number of input features. out_features, # N
training/networks_stylegan3.py:70
Method__init__
(self, z_dim, # Input latent (Z) dimensionality. c_dim,
training/networks_stylegan3.py:110
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. channels, # Number of o
training/networks_stylegan3.py:170
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. is_torgb,
training/networks_stylegan3.py:254
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. img_resolutio
training/networks_stylegan3.py:400
Method__init__
(self, path, # Path to directory or zip. resolution = None, # Ensure sp
training/dataset.py:157
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, z_dim, # Input latent (Z) dimensionality, 0 = no latent. c_dim,
training/networks_stylegan2.py:192
Method__init__
(self, in_channels, # Number of input channels. out_channels,
training/networks_stylegan2.py:275
Method__init__
(self, in_channels, out_channels, w_dim, kernel_size=1, conv_clamp=None, channels_last=False)
training/networks_stylegan2.py:339
Method__init__
(self, in_channels, # Number of input channels, 0 = first block. ou
training/networks_stylegan2.py:364
Method__init__
(self, w_dim, # Intermediate latent (W) dimensionality. img_resolution,
training/networks_stylegan2.py:468
Method__init__
(self, in_channels, # Number of input channels, 0 = first block. tmp_ch
training/networks_stylegan2.py:556
Method__init__
(self, group_size, num_channels=1)
training/networks_stylegan2.py:645
Method__init__
(self, in_channels, # Number of input channels. cmap_dim,
training/networks_stylegan2.py:674
Method__init__
(self, c_dim, # Conditioning label (C) dimensionality. img_resolution
training/networks_stylegan2.py:735
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
Method__init__
(self, *, image=None, width=None, height=None, channels=None, dtype=None, bilinear=True, mipmap=True)
gui_utils/gl_utils.py:129
Method__init__
(self, *, texture=None, width=None, height=None, channels=None, dtype=None, msaa=0)
gui_utils/gl_utils.py:221
Method__init__
(self, msg=None)
viz/renderer.py:24
Method__init__
(self, out)
viz/renderer.py:38
Method__init__
(self, viz)
viz/layer_widget.py:15
Method__init__
(self, viz)
viz/trunc_noise_widget.py:15
Method__init__
(self, viz)
viz/latent_widget.py:17
Method__init__
(self, viz)
viz/pickle_widget.py:28
Method__init__
(self, viz)
viz/capture_widget.py:20
Method__init__
(self, viz)
viz/stylemix_widget.py:15
Method__init__
(self, viz)
viz/performance_widget.py:17
Method__init__
(self, viz)
viz/equivariance_widget.py:17
Method__iter__
(self)
torch_utils/misc.py:125
Method__len__
(self)
training/dataset.py:84
Method__setattr__
(self, name: str, value: Any)
dnnlib/util.py:49
Method_glfw_drop_callback
(self, _window, paths)
gui_utils/glfw_window.py:226
Method_glfw_key_callback
(self, _window, key, _scancode, action, _mods)
gui_utils/glfw_window.py:222
Method_glfw_key_callback
(self, *args)
gui_utils/imgui_window.py:56
Method_load_raw_labels
(self)
training/dataset.py:224
Method_process_fn
(args_queue, result_queue)
visualizer.py:248
Function_reconstruct_persistent_obj
r"""Hook that is called internally by the `pickle` module to unpickle a persistent object.
torch_utils/persistence.py:179
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