Conversion to int8 with trtexec fails

Description

I am trying to convert onnx model to int8 with latest TensorRT. I got the following error:

[05/19/2023-14:42:31] [E] Error[2]: Assertion getter(i) != 0 failed. 
[05/19/2023-14:42:33] [E] Error[2]: [weightConvertors.cpp::quantizeBiasCommon::310] Error Code 2: Internal Error (Assertion getter(i) != 0 failed. )
[05/19/2023-14:42:33] [E] Engine could not be created from network
[05/19/2023-14:42:33] [E] Building engine failed
[05/19/2023-14:42:33] [E] Failed to create engine from model or file.
[05/19/2023-14:42:33] [E] Engine set up failed

But there were no errors before this lines. What does it mean?

Environment

TensorRT Version: 8.6.0.12

NVIDIA GPU: NVIDIA GeForce RTX 3080 Ti

NVIDIA Driver Version: 530.30.02

CUDA Version: 12.1

Operating System: Ubuntu 18.04.6 LTS Bionic

Python Version (if applicable): 3.8

PyTorch Version (if applicable): 2.0.1+cu117

Steps To Reproduce

I use trtexec, my command looks like this
trtexec --onnx=/repo/int8-engine.trt/end2end.onnx --calib=calib_data.h5 --int8 --saveEngine=/repo/int8-engine.trt/end2end.trt --staticPlugins=/mmdeploy/buil/lib/libmmdeploy_tensorrt_ops.so --shapes=input:1x3x800x1300 --verbose

Start by reproducing the reported trtexec command with the provided TensorRT, CUDA, driver, and model settings, then inspect the verbose output around quantizeBiasCommon. The payload names no source file or test; done would require identifying the cause of the int8 engine-build failure and documenting a verified resolution.