Tensorflow not responding on tlt version 3 image container

Description

I have been trying to train the detectnet_v2 model using the tlt v3 image and the jupyter notebook gets stuck while running the training part. It shows no error message. Only message displayed is tensorflow running in backend

#Environment

docker container build on the transfer learning toolkit v3 image

Hi,
We recommend you to check the below samples links, as they might answer your concern
https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#samples
https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-722/quick-start-guide/index.html#framework-integration
https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#integrate-ovr
https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#usingtftrt

If issue persist, request you to share the model and script so that we can try reproducing the issue at our end.
Thanks!

Hi @bhargavi.sanadhya,

This forum talks more about issues and updates related to TensorRT, we recommend you to post your concern here to get better help.

Thank you.

I am still not sure if the solution provided here is right. All I am saying is that I have been trying t train my model using the jupyter notebook of TRANSFER LEARNING TOOLKIT 3 image which I pulled using docker pull nvcr.io/nvidia/tlt-streamanalytics:v3.0-dp-py3 . And it seems that tensorflow is not workinh here

@bhargavi.sanadhya,

As mentioned in my previous reply, we recommend you to please post your query on TLT forum to get better help.

Thank you.