Convex Decomposition Approximation makes GPU memory continuously increasing

Omniverse Isaac Sim
1

Dear community,

I wanted to use robots whose collision approximation is set to convex decomposition in OmniIsaacGym. However, I found out that this robot makes the GPU memory continuously increase, and the code will crash. Does anyone know why this happens?

For example, I have run the Allegro Hand task with the following two versions of Allegro Hand, one uses convex hull as the collision approximation method and the other uses convex decomposition.
allegro_hand_convex_decomposition.usd (1.7 MB)
allegro_hand_convex_hull.usd (1.5 MB)

The GPU memory does not increase for the convex hull version but continuously increases for the convex decomposition version, as follows.

GPU Memory Usage
GPU Memory Usage1060×619 26.3 KB

I run the code using this script, with headless=True and num_envs=32.

Thanks in advance!

1 Like
2

Thanks for the report, I did created internal Jira ticket to investigate this, looks like some memory is not correctly freed.
Regards,
Ales

4

Issue was identified and fixed, thanks for the report. In next release this should be fixed.

5

Thanks! Is there an expected time for the next release?

6

The release should happen beginning of May as far as I know.

7

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.