(self, c_in, c_out, relu_type='prelu', norm_type='bn', scale='none')

(self, in_chan, out_chan, ks=3, stride=1, padding=1)

(self, in_chan, mid_chan, num_class)

(self, in_chan, out_chan)

(self)

(self, in_chan, out_chan)

(self, in_chan, out_chan, stride=1)

(self, size)

(self, bbox_model)

(self, num_pos_feats=64, temperature=10000, normalize=False, scale=None)

(self, embed_dim, nhead=8, dim_mlp=2048, dropout=0.0, activation="gelu")

(self, in_ch, out_ch)

(self, codebook_size, emb_dim, beta)

(self, codebook_size, emb_dim, num_hiddens, straight_through=False, kl_weight=5e-4, temp_init=1.0)

(self, in_channels)

(self, in_channels)

(self, in_channels, out_channels=None)

(self, in_channels)

(self, nf, emb_dim, ch_mult, res_blocks, img_size, attn_resolutions)

(self, img_size, nf, ch_mult, quantizer="nearest", res_blocks=2, attn_resolutions=[16], codebook_size=1024, em

(self, nc=3, ndf=64, n_layers=4, model_path=None)

( self, out_size, num_style_feat=512, num_mlp=8, channel_multipli

( self, state_dict, )

( self, in_channels, out_channels, kernel_size, num_style_feat,

( self, in_channels, out_channels, kernel_size, num_style_feat,

(self, num_channel, size)

( self, out_size, num_style_feat=512, num_mlp=8, channel_multiplier=2, narrow=1 )

(self, channel, negative_slope=0.2, scale=2**0.5)

(self, *args, **kwargs)

(self, in_channels, out_channels, kernel_size,

(self, *args, **kwargs)

(self)

(self)

(self)

(self, rounding)

(self, rounding)

(self, rounding=torch.round)

(self)

(self)

(self)

(self)

(self)

(self)

(self, rounding=torch.round)

(self, differentiable=True)

(self, window=200)

(self, opt, start_iter=1, tb_logger=None)

(self, server_list_cfg, client_cfg, sys_path=None)

(self, db_paths, client_keys='default', readonly=True, lock=False, readahead=False, **kwargs)

(self, backend='disk', **kwargs)

(self, radius=50, sigma=0)

(self, lmdb_path, map_size=1024**4, batch=5000, compress_level=1)

(self, layer_name_list, vgg_type='vgg19', use_input_norm

(self, drop_prob=None)

(self, dim, window_size, num_heads, qkv_bias=True, qk_scale=None, attn_drop=0., proj_drop=0.)

(self, dim, input_resolution, num_heads,

(self, input_resolution, dim, norm_layer=nn.LayerNorm)

(self, dim, input_resolution, depth, n

(self, dim, input_resolution, depth, n

(self, img_size=224, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)

(self, img_size=224, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)

(self, scale, num_feat)

(self, scale, num_feat, num_out_ch, input_resolution=None)

(self, img_size=64, patch_size=1, in_chans=3,

(self, num_feat=64, res_scale=1, pytorch_init=False)

(self, num_feat=64, num_block=15, spynet_path=None)

(self, num_in_ch=3, num_out_ch=64, num_block=15)

(self, num_input_frame, num_feat, load_path)

(self)

(self, fin, fout, norm_g='spectralspadesyncbatch3x3', semantic_nc=3)

(self, channels)

(self, input_nc, ngf, sw, sh, n_2xdown, norm_layer=nn.InstanceNorm2d)

(self, in_channels, kernel_size=3, dilation=(1, 1, 1, 1), bias=True)

(self, in_channel)

(self, resample_kernel, factor=2)

(self, resample_kernel, factor=2)

(self, resample_kernel, upsample_factor=1, downsample_factor=1, kernel_size=1)

(self, in_channels, out_channels, bias=True, bias_init_val=0, lr_mul=1, activation=None)

(self, in_channels, out_channels, kernel_size,

(self, in_channels, out_channels, kernel_size,

(self, num_channel, size)

(self, out_size, num_style_feat=512, num_mlp=8,

(self, negative_slope=0.2)

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, bias=True, bias_init_val=0)

(self, in_channels, out_channels, kernel_size,

(self, in_channels, out_channels, resample_kernel=(1, 3, 3, 1))

(self, out_size, channel_multiplier=2, resample_kernel=(1, 3, 3, 1), stddev_group=4, narrow=1)

(self, num_in_ch, num_out_ch, num_feat=64,

(self, num_feat=64, num_grow_ch=32)

(self, num_in_ch, num_out_ch, scale=4, num_feat=64, num_block=23, num_grow_ch=32)

(self, rgb_range, rgb_mean, rgb_std, sign=-1, requires_grad=True)

(self, in_channels, out_channels)

(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1)

(self, mid_channels, squeeze_factor=16)

(self, in_channels, mid_channels, out_channels,

(self, num_in_ch, num_feat, input_size=128)

(self, num_feat=64, deformable_groups=8)

(self, num_feat=64, num_frame=5, center_frame_idx=2)

(self, num_in_ch=3, num_feat=64, hr_in=False)