Methodforward(ctx, x, fu, fd, b, si, sx, sy)
facelit/torch_utils/ops/filtered_lrelu.py:182
Methodforward(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False)
facelit/training/networks_stylegan3.py:137
Methodforward(self, x, w, noise_mode='random', force_fp32=False, update_emas=False)
facelit/training/networks_stylegan3.py:331
Methodforward(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False, **synthesis_kwargs)
facelit/training/networks_stylegan3.py:512
Methodforward(self, x, img, ws, force_fp32=False, fused_modconv=None, update_emas=False, **layer_kwargs)
facelit/training/superresolution.py:210
Methodforward(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False)
facelit/training/networks_stylegan2.py:233
Methodforward(self, x, w, noise_mode='random', fused_modconv=True, gain=1)
facelit/training/networks_stylegan2.py:311
Methodforward(self, x, img, ws, force_fp32=False, fused_modconv=None, update_emas=False, **layer_kwargs)
facelit/training/networks_stylegan2.py:417
Methodforward(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False, **synthesis_kwargs)
facelit/training/networks_stylegan2.py:549
Methodforward(self, z, c, truncation_psi=1, truncation_cutoff=None, neural_rendering_resolution=None, update_emas=False, ca
facelit/training/triplane.py:121
Methodforward(self, planes, decoder, ray_origins, ray_directions, light, rendering_options, w_specular=1.)
facelit/training/volumetric_rendering/renderer.py:134