I downloaded the tao_convertor to convert .etlt model to .plan so that I can add it to the model repository of Triton server deployed on a jetson nano device. I cannot execute the converter and i’m getting the following error: ./tao-converter bash: ./tao-converter: cannot execute binary file: Exec …

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks No, it should not be the reason. Actually 150528=3x224x224 . So, it should be something mismatching in the code.

Hi, We are moving this post to the TAO Toolkit forum to get better help. Thank you.

[image] tarek.gas: ./tao-converter bash: ./tao-converter: cannot execute binary file: Exec format error Please download the aarch64 version of tao-converter. GPU-optimized AI, Machine Learning, & HPC Software | NVIDIA NGC | NVIDIA NGC GPU-optimized AI, Machine Learning, & HPC Sof…

[image] Morganh: Please download the aarch64 version of tao-converter. TAO Converter | NVIDIA NGC This is the file I already downloaded. Can I use the engine file generated by Deepstream from the .etlt file?

[image] tarek.gas: I cannot execute the converter Which device did you run ./tao-converter ? If you run it in nano device, you need to download aarch64 version. If you run it in x86 device, you need to download x86 version. [image] tarek.gas: Can I use the engine file generated by Deep…

Yes I’m running on a jetson device (it’s working now after adding x permission to the tao_converter file). My tensorRT version is 8.2 and the aarch files are available for 8.0 and 8.4 releases only. Which one should I use please?

Thank you for your response. I actually developed a gender model using TAO (I followed the train/prune/re-train steps) and ended with a .tlt model having an accuracy of 0.94 (I used evaluate on the val dataset as well as tao inference on a completely new datasets and the result was consistently 0.9…

[image] tarek.gas: when I tested the same model on Triton server May I know that how did you test? Usually there are below ways to run inference against classification model. Run inference with “tao classification inference xxx “. This way will run inference against .tlt model. You can se…

Hi, Thank you for your reply. I deployed Triton server on the cloud as well my jetson platform. I run inference on the TAO toolkit using tao inference command which result in an accuracy level that matched the confusion matrix I got with tao evaluate. Then I exported the tlt model using tao expor…

[image] tarek.gas: using the Triton client and the result was quite different Please try Tao-converted .plan model running in triton-server turned to bad accurate - #47 by Morganh [image] tarek.gas: For deepstream, I used the .etlt models produced by TAO export but they always output the…

Converting etlt file to .engine for jetson

Accelerated Computing Intelligent Video Analytics TAO Toolkit

Morganh October 21, 2022, 6:39am 13

For preprocessing, refer to tao-toolkit-triton-apps/preprocess_input.py at main · NVIDIA-AI-IOT/tao-toolkit-triton-apps · GitHub
and Inferring resnet18 classification etlt model with python - #41 by Morganh

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Converting etlt file to .engine for jetson

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