↓ 1 callersFunctionmodulated_channel_attention(x, q_weight, k_weight, v_weight, w_weight, u_weight, proj_weight, styles, num_heads)
training/networks_Generator.py:102
Method__init__(self, G, G_kwargs, epsilon, space, sampling, crop, vgg16)
metrics/perceptual_path_length.py:37
Method__init__(self, G=None, G_kwargs={}, dataset_kwargs={}, num_gpus=1, rank=0, device=None, progress=None, cache=True)
metrics/metric_utils.py:22
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:136
Method__init__(self, device, G_mapping, G_synthesis, D, augment_pipe=None, style_mixing_prob=0.9, r1_gamma=10, pl_batch_shri
training/loss.py:24
Method__init__(self, h_dim, w_dim, out_dim, seq_length, depth, minimum_head, use_noise=True, conv_clamp=None, proj_weight=No
training/networks_Generator.py:370
Method__init__(self, in_channels, out_channels, w_dim, conv_clamp=None, channels_last=False)
training/networks_Generator.py:425
Method__init__(self, h_dim, w_dim, out_dim, depth, minimum_head, img_resolution, resolution, img_channels, is_first, is_last
training/networks_Generator.py:443
Method__init__(self, w_dim, img_resolution, img_channels, depth, minimum_head, num_layers, G_dict, conv_clamp, channel_base
training/networks_Generator.py:544
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:118
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:180
Functioncompute_feature_stats_for_generator(opts, detector_url, detector_kwargs, rel_lo=0, rel_hi=1, batch_size=64, batch_gen=None, jit=False, **stats_kw
metrics/metric_utils.py:232