Comments (3)
This seems to be a problem related to the ray library. I observed similar issues when running nuPlan’s devkit on slurm. Are you running the code locally or on a cluster? In either case, you can avoid the ray library altogether by adding worker=single_machine_thread_pool
. This might make the code execution slower, but more reliable in my experience.
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On a cluster. After adding the worker parameter, it is slow but works. Thank you!
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Update on this issue. While investigating, I found a potential workaround that might alleviate this error. If you add the keyword argument ignore_reinit_error=True
whenever ray.init()
is called, the problem seems to be resolved, at least on our computation cluster. This requires to modify the file worker_ray.py
in the local installation of the nuplan-devkit. I can’t guarantee that this is a universal fix.
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Related Issues (16)
- Training settings for Val14 benchmark HOT 10
- Why PDM planner is providing trajectories which the first state doesn't match with the ego current state? HOT 3
- GPUs seems not runing when training HOT 2
- Ray problem before the start of training HOT 1
- Ray error before the start of training HOT 2
- No module named 'nuplan_garage' when loading "pdm_offset_checkpoint.ckpt" HOT 3
- How to perform visualization of the PDM algorithm? HOT 2
- Qusetion about the result of PDM-Open with only the centerline input HOT 1
- training gc_pgp model HOT 4
- Do I need to download all the data of the camera and lidar? HOT 3
- about the validation set in the training process HOT 2
- Error when trying to run pgp model with nuplan config: Metric target: "multimodal_trajectories" is not in model computed targets! HOT 4
- Questions about NuPlan to Use HOT 2
- The plan for open source code? HOT 8
- AssertionError in evaluation HOT 5
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