yjcaimeow

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error:: an illegal memory access was encountered

hi @hzxie I also meet the same error. RuntimeError: CUDA error: an illegal memory access was encountered Here is something may be helpful and may be something of feature sampling...

error:: an illegal memory access was encountered

@hzxie I check the range of sparse_cloud and it is in [-1, 1]. The sparse cloud is get from the gridding_rev operation. I also try to *0.5. The same error...

PyCUDA ERROR: The context stack was not empty upon module cleanup

Any update for the error ? Have you solved it? @ishandutta0098

Train 2D feature extraction and point representation

Is it ok for outdoor dataset KITTI？

PyCUDA ERROR: The context stack was not empty upon module cleanup

try import pycuda.autoinit

Confidence of new point

the zero_one loss

about training precedure cost?

Hi, I understand that the total time consumption should be 1 day for init plus 2 minutes for each scene?

train_data.h5 filenames

I see there are 28974 instances and I want know the category and instance name of each one. ![image](https://user-images.githubusercontent.com/75470313/113504874-c2f8ef00-956d-11eb-850d-dc5f8da3662f.png)

The point cloud scale.

+1 the same question

Which CUDA version is used in LLava 1.5 training?

hi @cathyxl same question，any update?