TypeError: GaussianRasterizationSettings.__new__() missing 1 required positional argument: 'antialiasing'

[unique181]

Optimizing
Output folder: ./output/9686dd89-f [10/07 09:28:13]
Tensorboard not available: not logging progress [10/07 09:28:13]
Reading camera 125/125 [10/07 09:28:13]
Loading Training Cameras [10/07 09:28:13]
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1 [10/07 09:28:13]
Loading Test Cameras [10/07 09:28:43]
Number of points at initialisation : 31642 [10/07 09:28:43]
Training progress: 0%| | 0/30000 [00:00<?, ?it/s]Traceback (most recent call last):
File "/home/lxl/Test/GaussianPro-version1.0/train.py", line 387, in
training(lp.extract(args), op.extract(args), pp.extract(args), args.test_iterations, args.save_iterations, args.checkpoint_iterations, args.start_checkpoint, args.debug_from)
File "/home/lxl/Test/GaussianPro-version1.0/train.py", line 215, in training
render_pkg = render(viewpoint_cam, gaussians, pipe, bg,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/lxl/Test/GaussianPro-version1.0/gaussian_renderer/init.py", line 39, in render
raster_settings = GaussianRasterizationSettings(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: GaussianRasterizationSettings.new() missing 1 required positional argument: 'antialiasing'
Training progress: 0%| | 0/30000 [00:01<?, ?it/s]