torch.cat ERROR

I'm using 4.1 model. When I try to interpolarate a video, I get such a ERROR:

2022-07-24 19:29:27,296 - one_line_shot_args - 772 - INFO - Initial New Interpolation Project: project_dir: C:/Users/Globefish/Downloads/Compressed/SVFI.3.2.Community\\u3010MAD\u3011 Genuine article \u3010\u4ffa\u30ac\u30a4\u30eb\u3011_1, INPUT_FILEPATH: C:/Users/Globefish/Desktop/\u3010MAD\u3011 Genuine article \u3010\u4ffa\u30ac\u30a4\u30eb\u3011_1.mp4
2022-07-24 19:29:27,296 - one_line_shot_args - 774 - INFO - Changing working dir to C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package
2022-07-24 19:29:27,296 - one_line_shot_args - 781 - WARNING - Not find selected ffmpeg, use default
2022-07-24 19:29:27,376 - one_line_shot_args - 255 - INFO - 
Input Video Info
{'index': 0, 'width': 960, 'height': 540, 'color_range': 'tv', 'color_space': 'smpte170m', 'color_transfer': 'smpte170m', 'color_primaries': 'smpte170m', 'r_frame_rate': '30/1', 'duration': '230.500000', 'nb_frames': '6915', 'disposition': {'default': 1, 'dub': 0, 'original': 0, 'comment': 0, 'lyrics': 0, 'karaoke': 0, 'forced': 0, 'hearing_impaired': 0, 'visual_impaired': 0, 'clean_effects': 0, 'attached_pic': 0, 'timed_thumbnails': 0}, 'tags': {'creation_time': '2022-07-24T04:25:41.000000Z', 'language': 'eng', 'handler_name': '\x1fMainconcept Video Media Handler', 'encoder': 'AVC Coding'}}
2022-07-24 19:29:27,376 - one_line_shot_args - 273 - INFO - Auto Find FPS in r_frame_rate: 30.0
2022-07-24 19:29:27,376 - one_line_shot_args - 280 - INFO - Auto Find frames cnt in nb_frames: 6915
2022-07-24 19:29:27,390 - one_line_shot_args - 832 - INFO - Check Interpolation Source, FPS: 30.0, TARGET FPS: 60.0, FRAMES_CNT: 13830, EXP: 1
2022-07-24 19:29:27,407 - one_line_shot_args - 859 - INFO - Buffer Size to 677
2022-07-24 19:29:29,077 - one_line_shot_args - 1412 - INFO - Start VRAM Test: 960x540 with scale 1.0
2022-07-24 19:29:30,384 - one_line_shot_args - 1420 - ERROR - VRAM Check Failed, PLS Lower your presets
Traceback (most recent call last):
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\one_line_shot_args.py", line 1416, in nvidia_vram_test
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\Utils\inference.py", line 174, in generate_interp
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\Utils\inference.py", line 87, in __make_inference
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\model\RIFE_HDv3.py", line 60, in inference
flow, mask, merged = self.flownet(imgs, timestep, scale_list)
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\model\IFNet_HDv3.py", line 99, in forward
f0, m0 = block[i](torch.cat((warped_img0[:, :3], warped_img1[:, :3], timestep, mask), 1), flow, scale=scale_list[i])
RuntimeError: Sizes of tensors must match except in dimension 3. Got 576 and 544 (The offending index is 2)

Traceback (most recent call last):
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\one_line_shot_args.py", line 2151, in <module>
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\one_line_shot_args.py", line 1871, in run
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\one_line_shot_args.py", line 1416, in nvidia_vram_test
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\Utils\inference.py", line 174, in generate_interp
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\Utils\inference.py", line 87, in __make_inference
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\model\RIFE_HDv3.py", line 60, in inference
flow, mask, merged = self.flownet(imgs, timestep, scale_list)
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\GLOBEF~1\DOWNLO~1\COMPRE~1\SVFI32~1.COM\Package\model\IFNet_HDv3.py", line 99, in forward
f0, m0 = block[i](torch.cat((warped_img0[:, :3], warped_img1[:, :3], timestep, mask), 1), flow, scale=scale_list[i])
RuntimeError: Sizes of tensors must match except in dimension 3. Got 576 and 544 (The offending index is 2)
INFO - ONE LINE SHOT ARGS 6.6.1 2021/6/26
Warning: Find Empty Args at 'ffmpeg_customized'
Warning: Find Empty Args at 'slow_motion_fps'
Warning: Find Empty Args at 'resize'
Warning: Find Empty Args at 'crop'
Warning: Find Empty Args at 'use_sr_model'
INFO - FP16 mode switch success
INFO - Loaded v3.x HD model.

If i use a "scale_factor" of 0.5 (though the original video is only 960x540), it can work well.
I'm using a RTX3060 Laptop with 6GB VRAM, I guess VRAM is enough. The same video can be use as input for 3.9 model with 1.0 scale factor.

I wonder how to solve this issue, thanks.

Start at model/IFNet_HDv3.py line 99, where torch.cat raises the dimension mismatch, and inspect Utils/inference.py plus nvidia_vram_test in one_line_shot_args.py. Reproduce with the reported 960x540 video at scale 1.0, compare the tensor dimensions reaching the concatenation, and verify interpolation completes without the error.