(self, loss2)

(self, other)

(self)

(self, input_imdir_or_imlistfile, outfile=None)

(self, height, width, intrinsics, pose, mesh)

(self, loss, optimizer, clip_grad=None, parameters=None, create_graph=False, update_grad=True, accelerator=Non

(self, img1, img2, disp, dataset_name)

(self, img1, img2, flow, dname)

(self, img1, img2)

(self, x)

(self, b, h, w, device)

(self)

(self)

(self)

(self)

(self)

(self, other)

(self, exc_type, *args)

(self, *args)

(self, ext_type, exc_value, traceback)

(self)

(self, attr)

(self, index)

(self, idx)

(self, idx)

(self, idx)

(self, idx)

(self: TensorDataclassT, indices)

(self, idx)

(self, image_idx: int)

(self, path)

(self, index)

(self, index)

(self, index)

(self, useless_idx)

(self)

( self, file )

( self )

(self, net, has_conf=False, local_feat_dim=16, hidden_dim_factor=4., hooks_idx=None, dim_tokens=None,

(self, db_pts, device='cuda')

(self, align_pts)

(self)

(self)

(self, reduction='mean', fp=torch.float32)

(self, temperature=0.07, eps=1e-8, mode='all', **kwargs)

(self, nq='torch', min=0, max=1, euc=False, **kw)

(self, criterion, withconf=False, use_pts3d=False, negatives_padding=0, blocksize=4096)

(self)

(self)

(self)

(self)

(self)

(self, pixel_loss, alpha=1., confmode='prod', neg_conf_loss_quantile=False)

(self, window_size = 11, size_average = True)

(self, desc_mode=('norm'), desc_conf=False, desc_conf_mode=None, use_normal=True, has_mask=Fa

(self, gpu_id)

(self, image_list, imsize=512)

(self, backbone, freeze_backbone=1, prewhiten=None, hdims=[1024], residual=False, postwhiten=None,

(self, verbose: bool)

(self, *args, **kwargs)

(self, reduction='mean')

(self, criterion=None)

(self)

(self, pixel_loss, alpha=1)

(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768, norm_layer=None, flatten=True)

(self, output_mode='pts3d', head_type='linear', depth_mode=

(self)

(self, images)

(self, multiplicator, dataset)

(self, new_size, dataset)

(self, datasets)

(self, *, # only keyword arguments split=None, resolution=None, # square_s

(self, *, # only keyword arguments split=None, resolution=None, # square_s

(self, dataset, batch_size, pool_size, world_size=1, rank=0, drop_last=True)

(self, *, n_cls_token=0, hooks_idx=None, dim_tokens=None, output_width_ratio=1, num_channels=

(self, net, has_conf=False)

(self, world_to_cam, intrinsics, points3d, imgs)

(self, glomap_recon, should_delete=False, cache_dir=None, outfile_name=None)

(self)

(self)

(self, height=480, width=640)

(self, new_iter: Callable, new_next: Callable, length: int = -1)