( self, in_channels, out_channels, deconv=False, concat=True,

(self, *inputs)

(version)

(model_size=None)

(self, x)

(self, in_channels, left_att, blocks, expanse_ratio, backbone_channels)

(version, fnet_pretrained=False, model_size=None, max_disp=192)

(version, model_size=None)

(version, model_size=None)

(x)

(self, normalized_shape, eps=1e-6, data_format="channels_last")

(self, fnet_pretrained=False)

(self, chan_low, chan_high)

(self, aug_params=None, root='./data/datasets/ETH3D', split='training')

(depth_low, up_weights)

(x, maxdisp)

(file)

(self, pretrained=True)

(left_feature, right_feature, max_disp)

(fea1, fea2, num_groups)

(fea1, fea2, num_groups)

(model, checkpoint, strict=True)

(fea1, fea2)

(self, img)

(path)

(version, restore_ckpt, model_size=None)

(elapsed_list)

(device)

(self, disp, mask_feat_4, stem_2x)

(model_size)

(self, features_left)

(model, left, right, warmup, total, max_disp, use_amp)

(refimg_fea, targetimg_fea, maxdisp, num_groups)

(height, width, device, pad)

(self, mask_feat_4, stem_2x)

(fmap1, fmap2)

(model)

(model)

(version, model_size=None)

(depth:np.ndarray, K, uvs:np.ndarray=None, zmin=0.1)

(depth_uint8, scale=1000)

(args, device)

()

()

()

()

(img0, img1, output_gif)

(level=logging.INFO)

(seed)

(points,colors=None,normals=None)

(self, disp, spx_pred)

(x, y, disp_range_samples)

(self, disp, coords, dx)

(self, index)

(self, model, max_disp)

(self, in_channels, left_att, blocks, expanse_ratio, backbone_channels)

(self, dim, layer_scale_init_value=1e-6)

(self, dim, img_feat_dim)

(self, fmap1, fmap2, geo_volume, num_levels=2)

(self, c04, hidden_dim)

(self, channels, ratio=16)

(self, kernel_size=7)

(self, dim, mlp_ratio=4, n_div=4)

(self, input_dim, output_dim=1)

(self, corr_levels, corr_radius, volume_dim, hidden_dim, motion_corr_dim, motion_disp_dim)

(self, hidden_dim, input_dim, kernel_size)

(self, hidden_dim, input_dim, small_kernel_size=1, large_kernel_size=3)

( self, corr_levels, corr_radius, volume_dim, hidden_dim, moti

( self, fnet_pretrained=False, valid_iters=4, corr_levels=2, corr_radi

(self, model_size=DEFAULT_LAS2_MODEL_SIZE, fnet_pretrained=False)

(self, fnet_pretrained=False)

(self, fnet_pretrained=False)

(self, in_channels, out_channels, kernel_size=3, stride=1, padding=0, bias=False, norm_layer=

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, bias=False, norm_layer=No

(self, in_channels, out_channels, deconv=False, is_3d=False, bn=True, relu=True, **kwargs)

(self, inp, oup, stride, mlp_ratio, n_div=4, act_layer=nn.GELU)

(self, dim, mlp_ratio, n_div=4, act_layer=nn.GELU, layer_scale_init_value=0.0)

(self, dim, n_div=4)

(self, dim, img_feat_dim)

(self, aug_params=None, sparse=False, reader=None, real_world=False)

(self, aug_params=None, image_set='training', year=2015)

(self, aug_params=None, root='./data/datasets/Middlebury', split='2014', resolution='F')

(self, aug_params=None, root='./data/datasets/DrivingStereoWeather', image_set='rainy')

(self, in_channels, out_channels)

(self, pretrained=True)

(self, fnet_pretrained=True)

(self, dims, mode='sintel', divis_by=8)

(self)

(self, v)

(refimg_fea, targetimg_fea, maxdisp, num_groups)

(refimg_fea, targetimg_fea, maxdisp, num_groups)