Failure of TensorRT 10.5 to install when building on AGX Jetson

Description

Tried to install tensorrt on AGX Jetson

Environment

Python: 3.8
Torch: 2.0 (for Jetson)
Jetpack 5.1.2
Pip: 24

Steps To Reproduce

pip install tensorrt
-->

Commands or scripts:

pip install tensorrt==10.1
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting tensorrt==10.1
Downloading tensorrt-10.1.0.tar.gz (16 kB)
Preparing metadata (setup.py) ... done
Collecting tensorrt-cu12 (from tensorrt==10.1)
Downloading tensorrt-cu12-10.5.0.tar.gz (18 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [6 lines of output]
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "/tmp/pip-install-vat_hkn8/tensorrt-cu12_71c17ab2858443af8b1c6b5210714b49/setup.py", line 69, in
raise RuntimeError("TensorRT does not currently build wheels for Tegra systems")
RuntimeError: TensorRT does not currently build wheels for Tegra systems
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

NOTE
Basically I cannot install tensorrt on AGX Jetson anymore, and I cannot find a solution for the given error message online.

Start with the tensorrt-cu12 setup.py referenced in the traceback, especially the metadata-generation path at line 69, and review how pip selects tensorrt-cu12 for the reported command. Compare that behavior with the Python 3.8, JetPack 5.1.2, and AGX Jetson environment; done means the installation failure is resolved or the supported installation limitation is clearly documented.