APES：基于注意力机制的点云边缘采样

wrom3419

Traceback (most recent call last):
  File "/data/coding/APES-main/utils/train.py", line 27, in <module>
    main()
  File "/data/coding/APES-main/utils/train.py", line 23, in main
    runner.train()
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/mmengine/runner/runner.py", line 1706, in train
    model = self.train_loop.run()  # type: ignore
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/mmengine/runner/loops.py", line 96, in run
    self.run_epoch()
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/mmengine/runner/loops.py", line 111, in run_epoch
    for idx, data_batch in enumerate(self.dataloader):
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 634, in __next__
    data = self._next_data()
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1346, in _next_data
    return self._process_data(data)
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1372, in _process_data
    data.reraise()
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/torch/_utils.py", line 644, in reraise
    raise exception
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop
    data = fetcher.fetch(index)
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 51, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/mmengine/dataset/base_dataset.py", line 413, in __getitem__
    data = self.prepare_data(idx)
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/mmengine/dataset/base_dataset.py", line 797, in prepare_data
    return self.pipeline(data_info)
  File "/data/miniconda/envs/APES/lib/python3.9/site-packages/mmengine/dataset/base_dataset.py", line 59, in __call__
    data = t(data)
  File "/data/coding/APES-main/apes/datasets/transforms/basetransform.py", line 12, in __call__
    return self.transform(results)
  File "/data/coding/APES-main/apes/datasets/transforms/transforms.py", line 14, in transform
    results['cls_label'] = torch.tensor(results['cls_label']).to(torch.float32)   # array to tensor
TypeError: len() of unsized object

~零度

你用pycharm调试一下不就知道为什么报错吗，不清楚的话建议先学习python基础