RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated

[guo13947296316]

Hi, CurryYuan:
I have met some problems as below:
Preparing data...
train on 36665 samples and val on 9508 samples
loading data...
loading data...
Initializing...
model params 6857788
Start training...
Epoch 1 starting...
Traceback (most recent call last):
File "/remote-home/source/46/guopeng/scripts/train.py", line 221, in
train(CONF)
File "/remote-home/source/46/guopeng/scripts/train.py", line 211, in train
solver(args.epoch, args.verbose)
File "/remote-home/source/46/guopeng/lib/solver.py", line 156, in call
self._feed(self.dataloader["train"], "train", epoch_id)
File "/remote-home/source/46/guopeng/lib/solver.py", line 248, in _feed
for idx, data_dict in enumerate(dataloader):
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 363, in next
data = self._next_data()
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 989, in _next_data
return self._process_data(data)
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 1014, in _process_data
data.reraise()
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/_utils.py", line 395, in reraise
raise self.exc_type(msg)
RuntimeError: Caught RuntimeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 185, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 47, in fetch
return self.collate_fn(data)
File "/remote-home/source/46/guopeng/lib/dataset.py", line 464, in collate_fn
outputs = sparse_collate_fn(inputs)
File "/usr/local/miniconda3/lib/python3.6/site-packages/torchsparse-1.1.0-py3.6-linux-x86_64.egg/torchsparse/utils/helpers.py", line 209, in sparse_collate_fn
dim=0)
RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated
I think maybe you know the Bug.

[BinGoh98]

Hi, CurryYuan:
I have met some problems as below:
Preparing data...
train on 36665 samples and val on 9508 samples
loading data...
loading data...
Initializing...
model params 6857788
Start training...
Epoch 1 starting...
Traceback (most recent call last):
File "/remote-home/source/46/guopeng/scripts/train.py", line 221, in
train(CONF)
File "/remote-home/source/46/guopeng/scripts/train.py", line 211, in train
solver(args.epoch, args.verbose)
File "/remote-home/source/46/guopeng/lib/solver.py", line 156, in call
self._feed(self.dataloader["train"], "train", epoch_id)
File "/remote-home/source/46/guopeng/lib/solver.py", line 248, in _feed
for idx, data_dict in enumerate(dataloader):
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 363, in next
data = self._next_data()
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 989, in _next_data
return self._process_data(data)
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 1014, in _process_data
data.reraise()
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/_utils.py", line 395, in reraise
raise self.exc_type(msg)
RuntimeError: Caught RuntimeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 185, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/miniconda3/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 47, in fetch
return self.collate_fn(data)
File "/remote-home/source/46/guopeng/lib/dataset.py", line 464, in collate_fn
outputs = sparse_collate_fn(inputs)
File "/usr/local/miniconda3/lib/python3.6/site-packages/torchsparse-1.1.0-py3.6-linux-x86_64.egg/torchsparse/utils/helpers.py", line 209, in sparse_collate_fn
dim=0)
RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated
I think maybe you know the Bug.

I met this problem too. And I replaced the /lib/torchparse with the newest version: https://github.com/mit-han-lab/torchsparse. And it works!