node.output().size() == 1 && "TensorRT does not support the indices output in MaxPool!" failure of TensorRT 8.6 when running ONNX model on GPU RTX 3090

Description

I tried to run the attached ONNX model through trtexec, but it fails with the error: node.output().size() == 1 && "TensorRT does not support the indices output in MaxPool!". This is because MaxPool is being used in the model to produce 2 outputs: the values and indices. Upon checking the officially supported ONNX operators I see that MaxPool layer with indices output is not supported even in TensorRT 10 EA. Is there any plan to support this or workaround for this issue?

Environment

TensorRT Version: 8.6

NVIDIA GPU: RTX 3090

NVIDIA Driver Version: 545

CUDA Version: 11.6

CUDNN Version: 8.8

Operating System: Ubuntu 20.04 64-bit

Python Version (if applicable):

Tensorflow Version (if applicable):

PyTorch Version (if applicable):

Baremetal or Container (if so, version):

Relevant Files

Model link: https://drive.google.com/file/d/1ZvhQiG9NT92CbVK7oAznBR_rAlF5AzzF/view?usp=sharing

Steps To Reproduce

Run trtexec --onnx=model.onnx

Commands or scripts: Run trtexec --onnx=model.onnx

Have you tried the latest release?: N/A

Can this model run on other frameworks? N/A

Start by reproducing the attached model with trtexec --onnx=model.onnx and review the TensorRT ONNX operator support documentation for MaxPool with values and indices outputs. Compare the failure on TensorRT 8.6 with the reported support status; completion would require an agreed support plan or documented workaround.