Installing multiple cudnn version on host machine

Autonomous Vehicles DRIVE AGX Xavier DRIVE AGX General
#1

Please provide the following info (check/uncheck the boxes after creating this topic):
Software Version
DRIVE OS Linux 5.2.6
[+] DRIVE OS Linux 5.2.6 and DriveWorks 4.0
DRIVE OS Linux 5.2.0
DRIVE OS Linux 5.2.0 and DriveWorks 3.5
NVIDIA DRIVE™ Software 10.0 (Linux)
NVIDIA DRIVE™ Software 9.0 (Linux)
other DRIVE OS version
other

Target Operating System
[+] Linux
QNX
other

Hardware Platform
[+] NVIDIA DRIVE™ AGX Xavier DevKit (E3550)
NVIDIA DRIVE™ AGX Pegasus DevKit (E3550)
other

SDK Manager Version
[+] 1.8.0.10363
other

Host Machine Version
[+] native Ubuntu 18.04
other

Hi team,

I wanted to do some other neural network training on my host pc where I have installed drive related softwares using SDK manager. I understand I have cudnn version 7.6.6 as per sdk manager installation

But I need cudnn greater than 8.1 for a specific neural network training. What I tried,

  1. Tried mapping lib64 path of newly downloaded cudnn 8.4 in LD_LIBRARY_PATH
  2. Tried copying lib and include files to usr/local/cuda lib and include paths (asper cudnn installation manual by nvidia)
  3. Tried copying lib and include files of new version to usr/include/x86_64-linux-gnu and usr/lib/x86_64-linux-gnu

None of the above worked for me. My system still detecting cudnn 7.6.6.

is there any way in which my host pc can detect new version of cudnn.

NB: I dont have any other pc with GPU for trying other than host pc

#3

Hi,

Could you share how you detect the cuDNN version?

If it is reported by the inference frameworks (ex. TensorFlow or PyTorch), you will need to install a package that is compiled with the newer cuDNN library.

Thanks.

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