Jetson nano

Autonomous Machines Jetson & Embedded Systems Jetson Nano
1

manifest for nvidia/cuda:10.2-devel-ubuntu18.04 not found: manifest unknown: manifest unknown

3

Hi,

Please find Jetson’s CUDA container below:

For example, you can use nvcr.io/nvidia/l4t-cuda:10.2.460-runtime.
Thanks.

4

i build trtexec with tensorrt in jetson nano

5

wwith github GitHub - NVIDIA/TensorRT: NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

6

Hi,

Do you want to build TensorRT with a custom Python version?
If yes, you don’t need to set up a docker environment.

Please follow the steps shared in the below comment:

https://elinux.org/Jetson/L4T/TRT_Customized_Example#TensorRT_Python_Bindings

Thanks.

7

NO i want to rebuild trtexec tool. I run source code github TensorRT build trtexec on jetson nano. But the library environment is install very difficult, so Im try build docker tensorrt jetson nano to rebuild trtexec