lidar centerpoint Error : cudaErrorUnsupportedPtxVersion

[inwoong32]

The following error occurs when running lidar centerpoint.

[single_inference_lidar_centerpoint_node-1] terminate called after throwing an instance of 'thrust::system::detail::bad_alloc'
[single_inference_lidar_centerpoint_node-1] what(): std::bad_alloc: cudaErrorUnsupportedPtxVersion: the provided PTX was compiled with an unsupported toolchain.

How can fix it?

Platform : Jetson Orin
Os : Jetpack5.1.1
Cuda : 11.4

Only running in container
docker container : ghcr.io/autowarefoundation/autoware-universe:latest-cuda

[Shin-kyoto]

The CUDA version used by Autoware is 11.6. Since your local environment is using CUDA 11.4, it may not work properly. Please install CUDA 11.6 on your local system and try running it again.

autoware/amd64.env

Line 6 in a91c19a

cuda_version=11.6

[inwoong32]

Yes, I know

But, we are use Jetson Orin.
So, We can not upgrade Cuda 11.6.

I can upgrade cuda 11.8 in Nvidia documentation.
https://developer.nvidia.com/blog/simplifying-cuda-upgrades-for-nvidia-jetson-users/

I install Cuda 11.8 in local system and try running again.
But, Same problem

[hitorowasa]

@Shin-kyoto -san
Hi,
I'm in same probelm too.
I tried to lidar_centerpoint in Jetson Orin, but it does not run in Jetson Orin by error.
Please tell me how to solve this problem.

error:

`
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)

Device 0: "Orin"
CUDA Driver Version / Runtime Version 11.8 / 11.4
CUDA Capability Major/Minor version number: 8.7
Total amount of global memory: 30593 MBytes (32078827520 bytes)
(008) Multiprocessors, (128) CUDA Cores/MP: 1024 CUDA Cores
GPU Max Clock rate: 1300 MHz (1.30 GHz)
Memory Clock rate: 612 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 4194304 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total shared memory per multiprocessor: 167936 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: Yes
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Managed Memory: Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 0 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.8, CUDA Runtime Version = 11.4, NumDevs = 1
Result = PASS
`