Functioncompute_equivariance_metrics(opts, num_samples, batch_size, translate_max=0.125, rotate_max=1, compute_eqt_int=False, compute_eqt_frac=Fal
metrics/equivariance.py:192
Functioncompute_feature_stats_for_dataset(opts, detector_url, detector_kwargs, rel_lo=0, rel_hi=1, batch_size=64, data_loader_kwargs=None, max_items=No
metrics/metric_utils.py:196
Functioncompute_feature_stats_for_generator(opts, detector_url, detector_kwargs, rel_lo=0, rel_hi=1, batch_size=64, batch_gen=None, **stats_kwargs)
metrics/metric_utils.py:248
Functioncompute_ppl(opts, num_samples, epsilon, space, sampling, crop, batch_size)
metrics/perceptual_path_length.py:94
Functionconv2d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1)
torch_utils/ops/conv2d_gradfix.py:37
Functionconv_transpose2d(input, weight, bias=None, stride=1, padding=0, output_padding=0, groups=1, dilation=1)
torch_utils/ops/conv2d_gradfix.py:42
Methodforward(ctx, x, fu, fd, b, si, sx, sy)
torch_utils/ops/filtered_lrelu.py:180
Methodforward(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False)
training/networks_stylegan3.py:135
Methodforward(self, x, w, noise_mode='random', force_fp32=False, update_emas=False)
training/networks_stylegan3.py:329
Methodforward(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False, **synthesis_kwargs)
training/networks_stylegan3.py:510
Methodforward(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False)
training/networks_stylegan2.py:231