# Jetson AGX ORIN R36.4 unable to run imagenet inference example **URL:** \ **Category:** Jetson AGX Orin\ **Tags:** jetson-inference\ **Created:** [January 13, 2025, 4:45pm UTC](https://forums.developer.nvidia.com/t/jetson-agx-orin-r36-4-unable-to-run-imagenet-inference-example/319837 "2025-01-13T16:45:56Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![antoine.hamel](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@antoine.hamel](https://forums.developer.nvidia.com/u/antoine.hamel)\ **Post date:** [January 13, 2025, 4:45pm UTC](https://forums.developer.nvidia.com/t/jetson-agx-orin-r36-4-unable-to-run-imagenet-inference-example/319837/1 "2025-01-13T16:45:56Z")
Hi, I’m trying to run imagenet example by following the Hello AI world example. The models seem to have been trained with caffe which is no longer supported by TensorRT \> 10.3. Since 36.4 is not yet available as a container I had to build from source. I tried doing as suggested here but I get a segmentation fault when running the new suggested model : > [@Can't use any model with jetson-inference](https://forums.developer.nvidia.com/t/cant-use-any-model-with-jetson-inference/311559): > > I installed jetpack 6.1 on my jetson orin nano and trying to use jetson inference. I got this error: ./imagenet.py images/orange\_0.jpg images/test/output\_0.jpg imageNet -- loading classification network model from: -- prototxt networks/Googlenet/googlenet.prototxt -- model networks/Googlenet/bvlc\_googlenet.caffemodel -- class\_labels networks/ilsvrc12\_synset\_words.txt -- input\_blob 'data' -- output\_blob 'prob' -- batch\_size … I’m just trying to follow documentation but it seems outdated. Can anyone help? ---
**Author:** ![carolyuu](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/carolyuu/32/14043_2.png) [@carolyuu](https://forums.developer.nvidia.com/u/carolyuu)\ **Post date:** [January 13, 2025, 5:00pm UTC](https://forums.developer.nvidia.com/t/jetson-agx-orin-r36-4-unable-to-run-imagenet-inference-example/319837/2 "2025-01-13T17:00:12Z")
Hi, Here are some suggestions for the common issues: #### 1. Performance Please run the below command before benchmarking deep learning use case: ```auto $ sudo nvpmodel -m 0 $ sudo jetson_clocks ``` #### 2. Installation Installation guide of deep learning frameworks on Jetson: - TensorFlow: [Installing TensorFlow for Jetson Platform - NVIDIA Docs](https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html) - PyTorch: [Installing PyTorch for Jetson Platform - NVIDIA Docs](https://docs.nvidia.com/deeplearning/frameworks/install-pytorch-jetson-platform/index.html) We also have containers that have frameworks preinstalled: [GPU-optimized AI, Machine Learning, & HPC Software | NVIDIA NGC](https://catalog.ngc.nvidia.com/containers?filters=&orderBy=scoreDESC&query=l4t) #### 3. Tutorial Startup deep learning tutorial: - Jetson-inference: [Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson](https://github.com/dusty-nv/jetson-inference) - TensorRT sample: [Making sure you're not a bot!](https://elinux.org/Jetson/L4T/TRT_Customized_Example#TensorRT_Python) #### 4. Report issue If these suggestions don’t help and you want to report an issue to us, please attach the model, command/step, and the customized app (if any) with us to reproduce locally. Thanks! ---
**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\ **Post date:** [January 14, 2025, 5:33am UTC](https://forums.developer.nvidia.com/t/jetson-agx-orin-r36-4-unable-to-run-imagenet-inference-example/319837/4 "2025-01-14T05:33:29Z")
Hi, JetPack 6.1 includes TensorRT 10.3 which removes the caffe parser support. So imagenet with the caffe model cannot work. Thanks. ---
**Author:** ![vishnuvermaverma5](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@vishnuvermaverma5](https://forums.developer.nvidia.com/u/vishnuvermaverma5)\ **Post date:** [January 20, 2025, 2:53pm UTC](https://forums.developer.nvidia.com/t/jetson-agx-orin-r36-4-unable-to-run-imagenet-inference-example/319837/6 "2025-01-20T14:53:25Z")
Hi @antoine.hamel, I am also getting same error. If you have resolved the error pls tell how to do that. ---
**Author:** ![antoine.hamel](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@antoine.hamel](https://forums.developer.nvidia.com/u/antoine.hamel)\ **Post date:** [January 20, 2025, 3:07pm UTC](https://forums.developer.nvidia.com/t/jetson-agx-orin-r36-4-unable-to-run-imagenet-inference-example/319837/7 "2025-01-20T15:07:24Z")
Hi @vishnuvermaverma5 I reflashed the jetson with 6.0 (r36.3) on which the examples run fine. As @AastaLLL said Tensot RT 10.3 doesn’t support caffee models so the imagenet example doesn’t work with JetPack6.1. ---
**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\ **Post date:** [February 10, 2025, 6:41am UTC](https://forums.developer.nvidia.com/t/jetson-agx-orin-r36-4-unable-to-run-imagenet-inference-example/319837/8 "2025-02-10T06:41:16Z")
Hi, both Yes, as TensorRT 10.3 drops Caffe model support. To use jetson-inference with the default model, please try to set up the device with JetPack 6.0. Thanks. ---
**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\ **Post date:** [February 26, 2025, 12:56am UTC](https://forums.developer.nvidia.com/t/jetson-agx-orin-r36-4-unable-to-run-imagenet-inference-example/319837/10 "2025-02-26T00:56:13Z")
This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.