Hi, thanks for sharing your great work.
I am trying to reproduce and follow your research. But there is a bug when I try to train. I am new to this area. Could you please check it:
[2023-09-04 18:59:19.072] Epoch 1/50 started.
0% 0/4783 [00:00<?, ?it/s]/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchsparse/nn/functional/conv.py:117: UserWarning: This overload of nonzero is deprecated:
nonzero(Tensor input, , Tensor out)
Consider using one of the following signatures instead:
nonzero(Tensor input, , bool as_tuple) (Triggered internally at /usr/local/src/PYTORCH/27-apr-2020/pytorch/torch/csrc/utils/python_arg_parser.cpp:760.)
nbmaps = torch.nonzero(results != -1)
Traceback (most recent call last):
File "train.py", line 108, in
main()
File "train.py", line 103, in main
Saver(),
File "/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchpack/train/trainer.py", line 39, in train_with_defaults
callbacks=callbacks)
File "/project/RDS-FEI-HMZDet-RW/SemanticSTF-master/PointDR/core/trainers.py", line 183, in train
output_dict = self.run_step(feed_dict)
File "/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchpack/train/trainer.py", line 125, in run_step
output_dict = self._run_step(feed_dict)
File "/project/RDS-FEI-HMZDet-RW/SemanticSTF-master/PointDR/core/trainers.py", line 75, in _run_step
pred_2, feat_2 = self.model(inputs_2)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(*input, kwargs)
File "/project/RDS-FEI-HMZDet-RW/SemanticSTF-master/PointDR/core/models/semantic_kitti/minkunet_dr.py", line 201, in forward
x2 = self.stage2(x1)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(*input, *kwargs)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/container.py", line 100, in forward
input = module(input)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(input, kwargs)
File "/project/RDS-FEI-HMZDet-RW/SemanticSTF-master/PointDR/core/models/semantic_kitti/minkunet_dr.py", line 74, in forward
out = self.relu(self.net(x) + self.downsample(x))
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(*input, *kwargs)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/container.py", line 100, in forward
input = module(input)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(input, **kwargs)
File "/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchsparse/nn/modules/conv.py", line 72, in forward
transposed=self.transposed)
File "/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchsparse/nn/functional/conv.py", line 98, in conv3d
feats = feats.matmul(weight)
RuntimeError: expected scalar type Half but found Float
sunnyHelen
commented
1 year ago
Hi, thanks for sharing your great work. I am trying to reproduce and follow your research. But there is a bug when I try to train. I am new to this area. Could you please check it: [2023-09-04 18:59:19.072] Epoch 1/50 started. 0% 0/4783 [00:00<?, ?it/s]/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchsparse/nn/functional/conv.py:117: UserWarning: This overload of nonzero is deprecated: nonzero(Tensor input, , Tensor out) Consider using one of the following signatures instead: nonzero(Tensor input, , bool as_tuple) (Triggered internally at /usr/local/src/PYTORCH/27-apr-2020/pytorch/torch/csrc/utils/python_arg_parser.cpp:760.) nbmaps = torch.nonzero(results != -1) Traceback (most recent call last): File "train.py", line 108, in
main()
File "train.py", line 103, in main
Saver(),
File "/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchpack/train/trainer.py", line 39, in train_with_defaults
callbacks=callbacks)
File "/project/RDS-FEI-HMZDet-RW/SemanticSTF-master/PointDR/core/trainers.py", line 183, in train
output_dict = self.run_step(feed_dict)
File "/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchpack/train/trainer.py", line 125, in run_step
output_dict = self._run_step(feed_dict)
File "/project/RDS-FEI-HMZDet-RW/SemanticSTF-master/PointDR/core/trainers.py", line 75, in _run_step
pred_2, feat_2 = self.model(inputs_2)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(*input, kwargs)
File "/project/RDS-FEI-HMZDet-RW/SemanticSTF-master/PointDR/core/models/semantic_kitti/minkunet_dr.py", line 201, in forward
x2 = self.stage2(x1)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(*input, *kwargs)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/container.py", line 100, in forward
input = module(input)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(input, kwargs)
File "/project/RDS-FEI-HMZDet-RW/SemanticSTF-master/PointDR/core/models/semantic_kitti/minkunet_dr.py", line 74, in forward
out = self.relu(self.net(x) + self.downsample(x))
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(*input, *kwargs)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/container.py", line 100, in forward
input = module(input)
File "/usr/local/python/3.7.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 562, in call
result = self.forward(input, **kwargs)
File "/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchsparse/nn/modules/conv.py", line 72, in forward
transposed=self.transposed)
File "/project/RDS-FEI-HMZDet-RW/pointdr3/lib/python3.7/site-packages/torchsparse/nn/functional/conv.py", line 98, in conv3d
feats = feats.matmul(weight)
RuntimeError: expected scalar type Half but found Float