# Efficientdet conversion from onnx to tensorrt engine freeze **URL:** \ **Category:** TensorRT\ **Created:** [April 18, 2022, 3:18am UTC](https://forums.developer.nvidia.com/t/efficientdet-conversion-from-onnx-to-tensorrt-engine-freeze/211472 "2022-04-18T03:18:53Z")\ **Posts on this page:** 6\ **Page:** 1
**Author:** ![sasuketaichou](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@sasuketaichou](https://forums.developer.nvidia.com/u/sasuketaichou)\ **Post date:** [April 18, 2022, 3:18am UTC](https://forums.developer.nvidia.com/t/efficientdet-conversion-from-onnx-to-tensorrt-engine-freeze/211472/1 "2022-04-18T03:18:53Z")
## Description Running example from this [Github](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/efficientdet) Freezing on the same spot in the last shown log. I am able to make it work using a workstation that using a quadro gpu. ## Environment **TensorRT Version** : 8202 **GPU Type** : RTX 3070 **Nvidia Driver Version** : 511.65 **CUDA Version** : 11.6 **CUDNN Version** : 8.3.2 **Operating System + Version** : ubuntu20.04 (windows 11 wsl) **Python Version (if applicable)**: 3.8 **TensorFlow Version (if applicable)**: 2.7.0 **PyTorch Version (if applicable)**: **Baremetal or Container (if container which image + tag)**: [nvcr.io/nvidia/tensorflow:22.01-tf2-py3](http://nvcr.io/nvidia/tensorflow:22.01-tf2-py3) ## Relevant Files Log: [freeze.log](https://forums.developer.nvidia.com/uploads/short-url/1y9YaOzW5AH9Dwg9ACZ7nLt6RxJ.log) (4.3 MB) Onnx : [model.onnx](https://forums.developer.nvidia.com/uploads/short-url/jLMVomvswKjSOywD5Rhqxwx2AUU.onnx) (16.1 MB) ## Steps To Reproduce > #!/bin/bash > INPUT\_SHAPE=8x512x512x3 > trtexec > –onnx=model/onnx-model/model.onnx > –saveEngine=model/trt-model/engine.trt > –optShapes=input:$INPUT\_SHAPE > –workspace=8000 > –verbose ---
**Author:** ![NVES](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/nves/32/14043_2.png) [@NVES](https://forums.developer.nvidia.com/u/NVES)\ **Post date:** [April 18, 2022, 3:37am UTC](https://forums.developer.nvidia.com/t/efficientdet-conversion-from-onnx-to-tensorrt-engine-freeze/211472/2 "2022-04-18T03:37:47Z")
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: > **[Quick Start Guide — NVIDIA TensorRT](https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html)** 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. > **[TensorRT/samples/trtexec at master · NVIDIA/TensorRT](https://github.com/NVIDIA/TensorRT/tree/master/samples/trtexec)** > > NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. - NVIDIA/TensorRT In case you are still facing issue, request you to share the trtexec “”–verbose"" log for further debugging Thanks! ---
**Author:** ![spolisetty](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/spolisetty/32/14047_2.png) [@spolisetty](https://forums.developer.nvidia.com/u/spolisetty)\ **Post date:** [April 19, 2022, 5:47am UTC](https://forums.developer.nvidia.com/t/efficientdet-conversion-from-onnx-to-tensorrt-engine-freeze/211472/4 "2022-04-19T05:47:15Z")
Hi, We recommend you to please use the latest TensorRT version 8.4. Using the latest TRT version, we could successfully generate the TRT engine. [https://developer.nvidia.com/nvidia-tensorrt-8x-download](https://developer.nvidia.com/nvidia-tensorrt-8x-download) > **[Installation Guide :: NVIDIA Deep Learning TensorRT Documentation](https://docs.nvidia.com/deeplearning/tensorrt/install-guide/index.html#upgrading)** > > This NVIDIA TensorRT 8.4.1 Installation Guide provides the installation requirements, a list of what is included in the TensorRT package, and step-by-step instructions for installing TensorRT. Thank you. ---
**Author:** ![sasuketaichou](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@sasuketaichou](https://forums.developer.nvidia.com/u/sasuketaichou)\ **Post date:** [April 20, 2022, 5:25am UTC](https://forums.developer.nvidia.com/t/efficientdet-conversion-from-onnx-to-tensorrt-engine-freeze/211472/5 "2022-04-20T05:25:55Z")
Hi, Ive tried the solution by using version 8.4, it still freeze. Tested by using windows zip installation on windows 11 update: after clear and kill some background process that using gpu resources, manage to make it work. update2: another go with wsl, checkout latest, make using dockerfile provide by the repo instead of pulling from nvidia catalog, still freeze as the same spot as provided log ---
**Author:** ![spolisetty](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/spolisetty/32/14047_2.png) [@spolisetty](https://forums.developer.nvidia.com/u/spolisetty)\ **Post date:** [April 26, 2022, 10:47am UTC](https://forums.developer.nvidia.com/t/efficientdet-conversion-from-onnx-to-tensorrt-engine-freeze/211472/6 "2022-04-26T10:47:01Z")
Hi, We couldn’t reproduce the same error. We could successfully build the TRT engine. Have you tried increasing workspace? Could you please share with us Dockerfile to try from our end. Thank you. ---
**Author:** ![sasuketaichou](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@sasuketaichou](https://forums.developer.nvidia.com/u/sasuketaichou)\ **Post date:** [May 5, 2022, 3:20pm UTC](https://forums.developer.nvidia.com/t/efficientdet-conversion-from-onnx-to-tensorrt-engine-freeze/211472/7 "2022-05-05T15:20:28Z")
as mention, ive been using a container provide by nvidia but they didnt share the dockerfile, u need to pull this [http://nvcr.io/nvidia/tensorflow:22.01-tf2-py3](http://nvcr.io/nvidia/tensorflow:22.01-tf2-py3) but ive build another container suggest by official tensor rt repo and get the same freeze result, here is the shared dockerfile [TensorRT/ubuntu-20.04.Dockerfile at main · NVIDIA/TensorRT · GitHub](https://github.com/NVIDIA/TensorRT/blob/main/docker/ubuntu-20.04.Dockerfile)