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, features, activation, deconv=False, bn=False, expand=False, align_corners=True, lowest=False)
pg_modules/blocks.py:216
Method__init__(self, nc=None, ndf=None, start_sz=256, end_sz=8, head=None, patch=False, c_dim=1000, cmap_dim=64, rand_embedd
pg_modules/discriminator.py:59
Method__init__(
self,
channels,
resolutions,
num_discs=4,
proj_type=2, # 0 = no pro
pg_modules/discriminator.py:121
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:218
Functioncompute_feature_stats_for_generator(opts, detector_url, detector_kwargs, rel_lo=0, rel_hi=1, batch_size=64, batch_gen=None, sfid=False, **stats_k
metrics/metric_utils.py:303
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:35
Functionconv_transpose2d(input, weight, bias=None, stride=1, padding=0, output_padding=0, groups=1, dilation=1)
torch_utils/ops/conv2d_gradfix.py:40