Raise "NVRTC version too high for GPU (compute_7)" on RTX2060 when "Sort_By_Key"

[LCM1999]

My code:

Error happens in "trtc.Sort_By_Key"
Std::out:

My GPU information:
RTX 2060 12GB; CUDA version: 11.6.124; Compute Capability: (7, 5): 64
My ThrustRTC version: 0.3.19

What other information should I provide?
Thanks for you help.

[LCM1999]

I found this could happen when I use both ThrustRTC and PyCuda.
In my code, 'Hash List' and 'Index List' are computed by pyCuda, and when I use ThrustRTC to sort them, I got this error.
But if I only use ThrustRTC to sort same arrays, it works well.
So i wonder if there is some conflict between ThrustRTC and pyCuda?

[fynv]

Sorry for late reply. This was a bug.

ThrustRTC simply calculated an incorrect compute capability when CUDA is initialized by a different library.
(should be compute_75 instead of compute_7)

I fixed this just now in version 0.3.20.

[btbouwens]

This may be related:

% java -Djava.library.path=. -cp JThrustRTCTests.jar:JThrustRTC.jar test_trtc

cuModuleLoadDataEx() failed with Error code: 222
Error Name: CUDA_ERROR_UNSUPPORTED_PTX_VERSION
Error Description: the provided PTX was compiled with an unsupported toolchain.
cuMemAlloc() failed with Error code: 2
....
nvrtc: warning: Architectures prior to '<compute/sm>_75' are deprecated and may be removed in a future release

Note that this is on an ancient card (GTX 1650)

[fynv]

This may be related:

% java -Djava.library.path=. -cp JThrustRTCTests.jar:JThrustRTC.jar test_trtc

cuModuleLoadDataEx() failed with Error code: 222 Error Name: CUDA_ERROR_UNSUPPORTED_PTX_VERSION Error Description: the provided PTX was compiled with an unsupported toolchain. cuMemAlloc() failed with Error code: 2 .... nvrtc: warning: Architectures prior to '<compute/sm>_75' are deprecated and may be removed in a future release

Note that this is on an ancient card (GTX 1650)

Try downgrading your CUDA SDK..