Tao-converted .plan model running in triton-server turned to bad accurate

my training machine and triton server are 2 differct standalone machines, the bad accurate happens in triton server.

those python scripts(Inferring resnet18 classification etlt model with python - #9 by Morganh) are suppose to run in my training machine? this is my docker ps in training machine:

CONTAINER ID   IMAGE                                                     COMMAND                  CREATED       STATUS       PORTS     NAMES
47f180137f6c   nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.5-py3   "install_ngc_cli.sh …"   13 days ago   Up 13 days             dazzling_carver
2abe608d35af   nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.5-py3   "install_ngc_cli.sh …"   13 days ago   Up 13 days             gallant_hawking
f3b53fb42965   nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.5-py3   "install_ngc_cli.sh …"   13 days ago   Up 13 days             reverent_dijkstra

after docker exec -it 47f180137f6c bash, there’s only bin folder there:

root@47f180137f6c:/usr/src/tensorrt# ls
bin