()

()

()

(self, coords)

(self, coords)

(self, img1, img2, flow)

(self, img1, img2, flow, valid)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self, *args)

(self, exc_type, exc_value, traceback)

(self, exc_type, exc_value, traceback)

(self, exc_type, exc_value, traceback)

(self, exc_type, exc_value, traceback)

(self, exc_type, exc_value, traceback)

(self, key)

(self, index)

(self, index)

(self, index)

(self, idx)

(self, input_dim=3, num_levels=16, level_dim=2, per_level_scale=2, base_resolution=16, log2_hashmap_size=19, d

(self, input_dim=3, degree=4)

(self, input_dim=3, degree=4)

(self)

(self, in_planes, planes, norm_fn='group', stride=1)

(self, in_planes, planes, norm_fn='group', stride=1)

(self, output_dim=128, norm_fn='batch', dropout=0.0)

(self, aug_params=None, sparse=False)

(self, aug_params=None, split='training', root='datasets/Sintel', dstype='clean')

(self, aug_params=None, split='train', root='datasets/FlyingChairs_release/data')

(self, aug_params=None, root='datasets/FlyingThings3D', dstype='frames_cleanpass')

(self, aug_params=None, split='training', root='datasets/KITTI')

(self, fmap1, fmap2, num_levels=4, radius=4)

(self, fmap1, fmap2, num_levels=4, radius=4)

(self, input_dim=128, hidden_dim=256)

(self, hidden_dim=128, input_dim=192+128)

(self, args)

(self, args)

(self, args, hidden_dim=96)

(self, args, hidden_dim=128, input_dim=128)

(self, opt)

(self, n_out, kernel=3, normalization=torch.nn.BatchNorm2d, activation=torch.nn.ReLU)

(self, *args, **kwargs)

(self, enabled)

(self, args)

(self, crop_size, min_scale=-0.2, max_scale=0.5, do_flip=True)

(self, crop_size, min_scale=-0.2, max_scale=0.5, do_flip=False)

(self, dims, mode='sintel')

(self)

(self)

(self)

(self)

(self, opt)

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

(self, in_chan, mid_chan, n_classes, *args, **kwargs)

(self, in_chan, out_chan, *args, **kwargs)

(self, *args, **kwargs)

(self, *args, **kwargs)

(self, in_chan, out_chan, *args, **kwargs)

(self, in_chan, out_chan, stride=1)

( self, device="cpu", cameras=None, lights=None, materials=None, blend_params=None )

(self)

(self)

(self, modelpath, id_dim, exp_dim, tex_dim, point_num)

(self, opt, device, type='train', downscale=1)

(self, cin, cout, kernel_size, stride, padding, residual=False, leakyReLU=False, *args, **kwargs)

(self, dim_aud=64, seq_len=8)

(self)

(self, dim_in=29, dim_aud=64, win_size=16)

(self, dim_in=29, dim_aud=64, win_size=16)

(self, opt, audio_dim = 32, # torso net (hard coded for now

(self, opt)

(self, opt)

(self, W, H, r=2, fovy=60)

(self, opt, trainer, data_loader, debug=True)

(self)

(self, net='alex', device=None)

(self, backend='dlib', region='mouth')

(self, name, # name of this experiment opt, # extra conf m

(self, wavpath=None, wav=None)

(self, input_dim=3, num_levels=16, level_dim=2, per_level_scale=2, base_resolution=16, log2_hashmap_size=19, d

(self, input_dim=3, degree=4)

(self, input_dim=3, degree=4)

(self, opt)

(self, **kwargs)