Failure of TensorRT 10.5 to install when building on AGX Jetson #4176
Comments
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I used 10.1 in this example but I also used the default 10.5.* pip install tensorrt × python setup.py egg_info did not run successfully. note: This error originates from a subprocess, and is likely not a problem with pip. × Encountered error while generating package metadata. note: This is an issue with the package mentioned above, not pip. |
It is said that the right Jetson SDK installation is required. |
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I am encountering the same exact issue running Jetpack 6.1 (CUDA 12.6) on a NVIDIA Jetson Orin Nano Development Kit. This totally precludes the ability to use |
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Never mind, I used the TensorRT .deb file for Jetson/Jetpack systems (instead of the TAR I was originally trying to make work) and that cleared the error I was originally having (where the system could not find TensorRT at all in the Python setup.py script that required it to be |
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where did you get the tensorrt .deb file? my nvidia sdk manager install a tar.gz file right now i get the same error. |
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@kairin NOTE HERE: TensorRT does not currently build wheels for Tegra systems |
yes, aware of that... hence subsequently resorting to docker instead since there are prebuilt docker files. jetson-containers although upon checking it is only 10.4.0 |
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Hi, just wanted to share what I have learned after 2 days of searching and trying to install tensorrt on my jetson orin machine that I work on:
so I looked at the pypi nvidia index and found only wheels (no .tar.gz) for tensorrt-libs==8.6.1 that are not compatible with aarch64 soo it cannot be installed using pip. luckily for me I found out there is allready a version of tensorrt that is 8.6.2 installed as system-site-package on my machine, and I just needed to create a virtual environment with system-site-packages enabled. [EDIT] found this one tensorrt for jetson hardware , I needed to install it using apt instead of pip => but I never considered such threads because I do not have sudo permissions. BUT it was already installed on my system and this explains why it worked when I enable system-site-packages as it also worked for the person in the above thread. |
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.
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