My resnext101 onnx model has batch normalization layer,but tensorrt8.2 does not support batch normalization layer and I don't define this op,why on er

AI & Data Science Deep Learning (Training & Inference) TensorRT
1

Description

I can run pytorch to onnx ,and onnx to tensorrt,but no output. when I modify batch normalization layers weights,bias,runnning_mean,running_var to 1,0,0,1 all respectively ，it can get right output, why ? before modifying batch normalization layers’val,they are all small val between (-1,1)
A clear and concise description of the bug or issue.

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2

Hi,
Request you to share the ONNX model and the script if not shared already so that we can assist you better.
Alongside you can try few things:

  1. validating your model with the below snippet

check_model.py

import sys
import onnx
filename = yourONNXmodel
model = onnx.load(filename)
onnx.checker.check_model(model).
2) Try running your model with trtexec command.

In case you are still facing issue, request you to share the trtexec “”–verbose"" log for further debugging
Thanks!