TypeError: expected Tensor as argument 0, but got TensorList

[Xiaobao1024]

/home/bfj/d3s/pytracking/../pytracking/evaluation/vot18dataset.py:54: FutureWarning: The squeeze argument has been deprecated and will be removed in a future version. Append .squeeze("columns") to the call to squeeze.

sequence_list = pandas.read_csv(list_path, header=None, squeeze=True).values.tolist()
Tracker: segm default_params None , Sequence: ants1
/home/bfj/anaconda3/envs/pytracking/lib/python3.10/site-packages/torchvision/models/_utils.py:252: UserWarning: Accessing the model URLs via the internal dictionary of the module is deprecated since 0.13 and may be removed in the future. Please access them via the appropriate Weights Enum instead.
warnings.warn(
Traceback (most recent call last):
File "/home/bfj/d3s/pytracking/run_tracker.py", line 84, in
main()
File "/home/bfj/d3s/pytracking/run_tracker.py", line 80, in main
run_tracker(args.tracker_name, args.tracker_param, args.runid, args.dataset, args.sequence, args.debug, args.threads)
File "/home/bfj/d3s/pytracking/run_tracker.py", line 65, in run_tracker
run_dataset(dataset, trackers, debug, threads)
File "/home/bfj/d3s/pytracking/../pytracking/evaluation/running.py", line 54, in run_dataset
run_sequence(seq, tracker_info, debug=debug)
File "/home/bfj/d3s/pytracking/../pytracking/evaluation/running.py", line 21, in run_sequence
tracked_bb, exec_times = tracker.run(seq, debug=debug)
File "/home/bfj/d3s/pytracking/../pytracking/evaluation/tracker.py", line 58, in run
output_bb, execution_times = tracker.track_sequence(seq)
File "/home/bfj/d3s/pytracking/../pytracking/tracker/base/basetracker.py", line 35, in track_sequence
self.initialize(image, sequence.init_state)
File "/home/bfj/d3s/pytracking/../pytracking/tracker/segm/segm.py", line 96, in initialize
feat_max_stride = max(self.params.features_filter.stride())
File "/home/bfj/d3s/pytracking/../pytracking/features/extractor.py", line 66, in stride
return torch.Tensor(TensorList([f.stride() for f in self.features if self._return_feature(f)]).unroll())
TypeError: expected Tensor as argument 0, but got TensorList