# TF-TRT conversion is broken on 32.7.1

**URL:** <https://forums.developer.nvidia.com/t/tf-trt-conversion-is-broken-on-32-7-1/208812>\
**Category:** Jetson AGX Xavier\
**Tags:** tensorflow, docker\
**Created:** [March 18, 2022, 1:41pm UTC](https://forums.developer.nvidia.com/t/tf-trt-conversion-is-broken-on-32-7-1/208812 "2022-03-18T13:41:01Z")\
**Posts on this page:** 1\
**Showing post:** 11

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**Author:** ![emessulam](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@emessulam](https://forums.developer.nvidia.com/u/emessulam)\
**Post date:** [March 30, 2022, 4:33pm UTC](https://forums.developer.nvidia.com/t/tf-trt-conversion-is-broken-on-32-7-1/208812/11 "2022-03-30T16:33:01Z")

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Okay, reinstalled only the base jetpack 4.6.1 and it works, but I don’t understand why installing as we normally do doesn’t work, here is a list of simplified steps of our jetpack instalation:

1. We use the `docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb/ --volume /tmp/:/home/nvidia/nvidia:rw --name JetPack_TX2_Devkit sdkmanager --cli install --logintype devzone --product Jetson --target P2888-0001 --targetos Linux --version 4.6.1 --select 'Jetson OS' --deselect 'Jetson SDK Components' --flash all --license accept --staylogin true --datacollection disable --exitonfinish` command to download the Jetpack.
2. We use a series of commands to fix the dtb so that the CAN clock is the PLLAON (guide: [Update the device-tree for CAN-BUS, PLLAON Clock - #4 by peclatj](https://forums.developer.nvidia.com/t/update-the-device-tree-for-can-bus-pllaon-clock/190258/4)).
3. We use the command `cd /tmp/nvidia_sdk/JetPack_4.6.1_Linux_JETSON_AGX_XAVIER_TARGETS/Linux_for_Tegra/; sudo ./flash.sh jetson-agx-xavier-devkit mmcblk0p1` to flash.
4. We use the [GitHub - jetsonhacks/rootOnNVMe: Switch the rootfs to a NVMe SSD on the Jetson Xavier NX and Jetson AGX Xavier](https://github.com/jetsonhacks/rootOnNVMe) repo to move the boot to the NVMe.
5. We set a service to start the CAN with the correct bitrate on boot.
6. We use the `docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb/ --volume /tmp/:/home/nvidia/nvidia:rw --name JetPack_TX2_Devkit sdkmanager --cli install --logintype devzone --product Jetson --target P2888-0001 --targetos Linux --version 4.6.1 --deselect 'Jetson OS' --select 'Jetson SDK Components' --flash all --license accept --staylogin true --datacollection disable --exitonfinish` command to add dependencies.
7. We updated chrome with `sudo apt install --only-upgrade chromium-browser`.

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