converting scaled yolov4-scp from onnx to tensorrt

[VladBlat]

Hello

Im trying to convert onnx model with dynamic batch size created from darknet (https://github.com/WongKinYiu/ScaledYOLOv4)
to tensorrt engine. I need to create calibrated int8 engine with static batch size 2.

I use
python onnx_to_tensorrt.py -o int8_2.trt.engine --fp16 --int8 --calibration-data /data/ultra/trt/calib_ds -p preprocess_yolo -v --explicit-batch

But have inference problems with calibrated engine with batch size 2. Int 8 engine with batch size 1 and float16 engine with batch size 2 works correctly.

Where did this problem come from and how to solve it?