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Description
We have recently discovered a GPU memory leak when using the ROS node. I haven't found the time yet to fix this.
Symptoms:
GPU memory allocated by ROS node increases with the number of messages processed and crashes after a while (depending on GPU memory size) with a cudnn allocation error:
...
Error message:
[E] [TRT] ../rtSafe/safeContext.cpp (105) - Cudnn Error in initializeCommonContext: 4 (Could not initialize cudnn, please check cudnn installation.)
[E] [TRT] FAILED_ALLOCATION: std::exception
When playing 10 fps rosbags we experienced an increase in memory from ~1.3GB over 15 minutes.
Possible problem:
I suspect that this is a problem that arises somewhere at the interface between NVIDIA TensorRT and Instance Stixels. We haven't experienced this with the PyTorch based Cityscapes evaluation script.
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