Training PV-RCNN++ , CUDA kernel failed : invalid configuration argument
See original GitHub issueHappened when I was trying to train PV-RCNN++, by the way I can train PV-RCNN normally. Any suggestions on this error?
openpcdet/lib/python3.7/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
epochs: 0%| | 0/30 [00:18<?, ?it/s, loss=12, lr=0.001, d_time=0.00(0.02), f_time=0.14(0.26), b_time=0.30(0.58)]
CUDA kernel failed : invalid configuration argument | 31/4880 [00:17<32:08, 2.52it/s, total_it=31]
Issue Analytics
- State:
- Created 2 years ago
- Comments:14 (8 by maintainers)
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PR submitted.
Got it! Will make a PR tomorrow.