FP16 failure of TensorRT 8.6.1.6 when running GroundingDINO on GPU GeForce RTX 3080 Ti

Description

I tried to convert GroundDINO onnx FP16 (op_set=17) to TensortRT FP16， the difference of the output is large.Then I tried to control input and output types of the INormalization layer, using the following code.

When converting model, it runs with the following error.It seems the problem with datatype,but i do not know how to fix this.

Environment

TensorRT Version:8.6.1.6

NVIDIA GPU:GeForce RTX 3080 Ti

NVIDIA Driver Version:515.43.04

CUDA Version:11.7

CUDNN Version:8.9.5.29

Operating System:Ubuntu20.04

Python Version (if applicable):python3.9

Tensorflow Version (if applicable):

PyTorch Version (if applicable):torch2.0.1

Have you tried the latest release?:I didn‘t find the TensorRT 9.1

Can this model run on other frameworks? For example run ONNX model with ONNXRuntime (polygraphy run <model.onnx> --onnxrt): ONNX model FP16 is fine.