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Training PV-RCNN++ , CUDA kernel failed : invalid configuration argument

See original GitHub issue

Happened 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:closed
  • Created 2 years ago
  • Comments:14 (8 by maintainers)

github_iconTop GitHub Comments

3reactions
xiangruhuangcommented, Apr 13, 2022

PR submitted.

1reaction
xiangruhuangcommented, Apr 13, 2022

Got it! Will make a PR tomorrow.

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