Bash: trtexec: command not found

AI & Data Science Deep Learning (Training & Inference) TensorRT
1

Description

I tried to build trtexec in .../TensorRT/samples. I followed this git link for building the sample but it didn’t work. It looks like it’s not a valid command with the message :
bash: trtexec: command not found

Environment

TensorRT Version: 7.1.0:
GPU Type: Xavier:
Nvidia Driver Version: N/A:
CUDA Version: 10.2:
CUDNN Version: n/a:
Operating System + Version: Ubuntu 18.04:
Python Version (if applicable):
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):

I am new to the platform. Thanks for your help!

2

Please refer below link in case it helps:

Thanks

3

I think the building steps are similar and and intuitive with make commad. But I am not sure why I got the error after make the trtexec and I cannot use the trtexec command.

1 Like
4

Which Jetpack version you are currently using?
Can you try to reinstall the latest Jetpack?

It should be located in /usr/src/tensorrt/bin or /opt/tensorrt/bin

Thanks

3 Likes
5

Hi,
I have the exact same problem that the command is not recognized. I am also using a xavier and i also tried it on tx2. The build using make in /usr/src/tensorrt/samples/trtexec/ looks to be succesful and I can see the files in /usr/src/tensorrt/bin but when I try to use trtexec command i get : -bash: trtexec: command not found

I have read somewhere that maybe I should add it to the path but I do not know how that works. Any idea how I can solve this ?
Thank you in advance

2 Likes
6

After the make command I ended up with creating an alias:

alias trtexec="/usr/src/tensorrt/bin/trtexec"

15 Likes
7

Hi,
Request you to share the ONNX model and the script if not shared already so that we can assist you better.
Alongside you can try few things:

  1. validating your model with the below snippet

check_model.py

import sys
import onnx
filename = yourONNXmodel
model = onnx.load(filename)
onnx.checker.check_model(model).
2) Try running your model with trtexec command.
https://github.com/NVIDIA/TensorRT/tree/master/samples/opensource/trtexec
In case you are still facing issue, request you to share the trtexec “”–verbose"" log for further debugging
Thanks!

11

I actually solved by problem by simply copying the trtexec from “/usr/src/tensorrt/bin/trtexec/” to “/usr/local/bin/” I think there might have been a problem with linking the file.

3 Likes
12

this worked for me, thanks a lot

13

It works for me, too. Thanks!

14

it works for me, too. Thank you