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Functions736 in github.com/autonomousvision/stylegan-xl

⨍ Functions 736◇ Types & classes 120↳ Endpoints 8
Functiondouble_slowdown
Auxiliary function to slow down the video by 2x. We return the new latents, duration, and frames of the video
torch_utils/gen_utils.py:256
Functiondownsample2d
r"""Downsample a batch of 2D images using the given 2D FIR filter. By default, the result is padded so that its shape is a fraction of the input.
torch_utils/ops/upfirdn2d.py:352
Functiondrag_button
(label, width=0, enabled=True)
gui_utils/imgui_utils.py:151
Functiondrag_hidden_window
(label, x, y, width, height, enabled=True)
gui_utils/imgui_utils.py:158
Functiondraw_circle
(*, center=0, radius=100, hole=0, color=1, alpha=1)
gui_utils/gl_utils.py:362
Methoddraw_frame
(self)
gui_utils/glfw_window.py:152
Functiondraw_pixels
(image, *, pos=0, zoom=1, align=0, rint=True)
gui_utils/gl_utils.py:91
Functionembedding
(*args, **kwargs)
pg_modules/blocks.py:17
Methodend_frame
(self)
gui_utils/imgui_window.py:85
Functioneqr50k
(opts)
metrics/metric_main.py:124
Functioneqt50k_frac
(opts)
metrics/metric_main.py:117
Functioneqt50k_int
(opts)
metrics/metric_main.py:110
Methodextra_repr
(self)
training/networks_stylegan3.py:107
Methodextra_repr
(self)
training/networks_stylegan3.py:175
Methodextra_repr
(self)
training/networks_stylegan3.py:257
Methodextra_repr
(self)
training/networks_stylegan3.py:398
Methodextra_repr
(self)
training/networks_stylegan3.py:492
Methodextra_repr
(self)
training/networks_stylegan3.py:595
Methodextra_repr
(self)
training/networks_stylegan2.py:127
Methodextra_repr
(self)
training/networks_stylegan2.py:183
Methodextra_repr
(self)
training/networks_stylegan2.py:241
Methodextra_repr
(self)
training/networks_stylegan2.py:326
Methodextra_repr
(self)
training/networks_stylegan2.py:388
Methodextra_repr
(self)
training/networks_stylegan2.py:415
Methodextra_repr
(self)
training/networks_stylegan2.py:519
Methodextra_repr
(self)
training/networks_stylegan2.py:576
Methodextra_repr
(self)
training/networks_stylegan2.py:696
Methodextra_repr
(self)
training/networks_stylegan2.py:725
Methodextra_repr
(self)
training/networks_stylegan2.py:786
Methodextra_repr
(self)
training/networks_stylegan2.py:849
Methodextra_repr
(self)
training/networks_stylegan3_resetting.py:111
Methodextra_repr
(self)
training/networks_stylegan3_resetting.py:198
Methodextra_repr
(self)
training/networks_stylegan3_resetting.py:282
Methodextra_repr
(self)
training/networks_stylegan3_resetting.py:449
Methodextra_repr
(self)
training/networks_stylegan3_resetting.py:557
Functionfid10k_full
(opts)
metrics/metric_main.py:87
Functionfid50k
(opts)
metrics/metric_main.py:155
Functionfid50k_full
(opts)
metrics/metric_main.py:81
Functionfilter2d
r"""Filter a batch of 2D images using the given 2D FIR filter. By default, the result is padded so that its shape matches the input. User-spe
torch_utils/ops/upfirdn2d.py:277
Functionfiltered_lrelu
r"""Filtered leaky ReLU for a batch of 2D images. Performs the following sequence of operations for each channel: 1. Add channel-specific bi
torch_utils/ops/filtered_lrelu.py:56
Functionfiltered_lrelu
torch_utils/ops/filtered_lrelu.cpp:16
Functionfiltered_lrelu_act
torch_utils/ops/filtered_lrelu.cpp:213
Methodfind_class
(self, module, name)
legacy.py:68
Functionfma
(a, b, c)
torch_utils/ops/fma.py:15
Functionfolder_write_bytes
(fname: str, data: Union[bytes, str])
dataset_tool.py:326
Methodfont_size
(self)
gui_utils/imgui_window.py:61
Functionforce_fp32
Force fp32 as in during training
torch_utils/gen_utils.py:333
Functionformat_time
Convert the seconds to human readable string with days, hours, minutes and seconds.
dnnlib/util.py:139
Functionformat_time_brief
Convert the seconds to human readable string with days, hours, minutes and seconds.
dnnlib/util.py:153
Methodforward
(ctx, x, fu, fd, b, si, sx, sy)
torch_utils/ops/filtered_lrelu.py:180
Methodforward
(ctx, input, grid)
torch_utils/ops/grid_sample_gradfix.py:40
Methodforward
(ctx, grad_output, input, grid)
torch_utils/ops/grid_sample_gradfix.py:57
Methodforward
(ctx, x, b)
torch_utils/ops/bias_act.py:144
Methodforward
(ctx, dy, x, b, y)
torch_utils/ops/bias_act.py:177
Methodforward
(ctx, x, f)
torch_utils/ops/upfirdn2d.py:233
Methodforward
(ctx, a, b, c)
torch_utils/ops/fma.py:22
Methodforward
(ctx, input, weight, bias)
torch_utils/ops/conv2d_gradfix.py:107
Methodforward
(ctx, grad_output, input)
torch_utils/ops/conv2d_gradfix.py:155
Methodforward
(self, c)
metrics/perceptual_path_length.py:48
Methodforward
(self, x)
feature_networks/vit.py:14
Methodforward
(self, x)
feature_networks/vit.py:23
Methodforward
(self, x)
feature_networks/vit.py:38
Methodforward
(self, x)
feature_networks/vit.py:51
Methodforward
(self, x: torch.Tensor)
feature_networks/clip/model.py:40
Methodforward
(self, x)
feature_networks/clip/model.py:66
Methodforward
(self, x)
feature_networks/clip/model.py:135
Methodforward
(self, x: torch.Tensor)
feature_networks/clip/model.py:156
Methodforward
(self, x: torch.Tensor)
feature_networks/clip/model.py:163
Methodforward
(self, x: torch.Tensor)
feature_networks/clip/model.py:185
Methodforward
(self, x: torch.Tensor)
feature_networks/clip/model.py:198
Methodforward
(self, x: torch.Tensor)
feature_networks/clip/model.py:219
Methodforward
(self, x)
training/networks_stylegan3.py:93
Methodforward
(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False)
training/networks_stylegan3.py:147
Methodforward
(self, w)
training/networks_stylegan3.py:210
Methodforward
(self, x, w, noise_mode='random', force_fp32=False, update_emas=False)
training/networks_stylegan3.py:341
Methodforward
(self, ws, **layer_kwargs)
training/networks_stylegan3.py:476
Methodforward
(self, ws, **layer_kwargs)
training/networks_stylegan3.py:579
Methodforward
(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False, **synthesis_kwargs)
training/networks_stylegan3.py:624
Methodforward
(self, z, c=None, **kwargs)
training/networks_fastgan.py:17
Methodforward
(self, input, c=None, **kwargs)
training/networks_fastgan.py:58
Methodforward
(self, input, c, update_emas=False)
training/networks_fastgan.py:124
Methodforward
(self, z, c, **kwargs)
training/networks_fastgan.py:178
Methodforward
(self, x)
training/networks_stylegan2.py:112
Methodforward
(self, x, gain=1)
training/networks_stylegan2.py:172
Methodforward
(self, x, gain=1)
training/networks_stylegan2.py:230
Methodforward
(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False)
training/networks_stylegan2.py:289
Methodforward
(self, x, w, noise_mode='random', fused_modconv=True, gain=1)
training/networks_stylegan2.py:367
Methodforward
(self, x, w, fused_modconv=True)
training/networks_stylegan2.py:409
Methodforward
(self, x, img, ws, force_fp32=False, fused_modconv=None, update_emas=False, **layer_kwargs)
training/networks_stylegan2.py:473
Methodforward
(self, ws, **block_kwargs)
training/networks_stylegan2.py:559
Methodforward
(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False, **synthesis_kwargs)
training/networks_stylegan2.py:605
Methodforward
(self, x, img, force_fp32=False)
training/networks_stylegan2.py:664
Methodforward
(self, x)
training/networks_stylegan2.py:708
Methodforward
(self, x, img, cmap, force_fp32=False)
training/networks_stylegan2.py:758
Methodforward
(self, img, c, update_emas=False, **block_kwargs)
training/networks_stylegan2.py:836
Methodforward
(self, x)
training/networks_stylegan3_resetting.py:97
Methodforward
(self, z, c, truncation_psi=1.0, truncation_cutoff=None, update_emas=False)
training/networks_stylegan3_resetting.py:159
Methodforward
(self, w)
training/networks_stylegan3_resetting.py:233
Methodforward
(self, x, w, noise_mode='random', force_fp32=False, update_emas=False)
training/networks_stylegan3_resetting.py:391
Methodforward
(self, ws, **layer_kwargs)
training/networks_stylegan3_resetting.py:540
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