Xavier apt nvidia-tensorrt error

E: Failed to fetch https://repo.download.nvidia.com/jetson/t194/pool/main/n/nvidia-tensorrt/nvidia-tensorrt_4.6.3-b17_arm64.deb File has unexpected size (27332 != 27340). Mirror sync in progress? [IP: 11.122.132.28 8081]
Hashes of expected file:
- SHA256:a9281a9996acb9fa05caeb44042c06e522f4378d939967405cc53d7311a8bb1c
- SHA1:73face81bb2837c49697489da32df479e2fffce3 [weak]
- MD5Sum:cb04be9f7ad47f4af019705cb4b180a7 [weak]
- Filesize:27340 [weak]
E: Unable to fetch some archives, maybe run apt-get update or try with --fix-missing?

Package: nvidia-tensorrt
Version: 4.6.3-b17
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 200
Depends: libnvonnxparsers8 (= 8.2.1-1+cuda10.2), libnvinfer8 (= 8.2.1-1+cuda10.2), graphsurgeon-tf (= 8.2.1-1+cuda10.2), tensorrt (= 8.2.1.9-1+cuda10.2), uff-converter-tf (= 8.2.1-1+cuda10.2), libnvinfer-bin (= 8.2.1-1+cuda10.2), libnvinfer-dev (= 8.2.1-1+cuda10.2), libnvinfer-plugin-dev (= 8.2.1-1+cuda10.2), libnvonnxparsers-dev (= 8.2.1-1+cuda10.2), libnvinfer-plugin8 (= 8.2.1-1+cuda10.2), libnvinfer-doc (= 8.2.1-1+cuda10.2), libnvparsers-dev (= 8.2.1-1+cuda10.2), python3-libnvinfer (= 8.2.1-1+cuda10.2), libnvparsers8 (= 8.2.1-1+cuda10.2), python3-libnvinfer-dev (= 8.2.1-1+cuda10.2), libnvinfer-samples (= 8.2.1-1+cuda10.2)
Conflicts: libnvinfer-plugin6, libnvinfer-plugin7, libnvinfer6, libnvinfer7, libnvonnxparsers6, libnvonnxparsers7, libnvparsers6, libnvparsers7, python-libnvinfer
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-tensorrt/nvidia-tensorrt_4.6.3-b17_arm64.deb
Size: 27340
SHA256: a9281a9996acb9fa05caeb44042c06e522f4378d939967405cc53d7311a8bb1c
SHA1: 73face81bb2837c49697489da32df479e2fffce3
MD5sum: cb04be9f7ad47f4af019705cb4b180a7
Description: NVIDIA TensorRT Meta Package

I’m closing this topic due to there is no update from you for a period, assuming this issue was resolved.
If still need the support, please open a new topic. Thanks

Hi,

We want to reproduce this issue first.
Could you share the command you executed and the JetPack version with us?

Thanks.