feat: add onnxslim support

[inisis]

What does this PR do?

Type of change:

Add onnxslim support

Overview: Onnxslim is under active development and committed to long-time-support, it's easy to use and is dependent on very few packages.

Usage

# Add a code snippet demonstrating how to use this

Testing

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[gcunhase]

Please remove onnxsim installation if it's no longer being used, thanks.

[inisis]

done

[inisis]

@gcunhase Hi, any update here? Thanks.

[gcunhase]

@gcunhase Hi, any update here? Thanks.

@inisis Thank you for your contribution. I'm doing some investigation on any onnxsim vs onnxslim gaps. Will get back to you as soon as possible.

[gcunhase]

@inisis I'm still validating onnxslim on our end, but in the meanwhile, could you please check that switching to onnxslim doesn't break quantization of https://github.com/NVIDIA/DL4AGX/tree/master/AV-Solutions/bevformer-int8-eq?

Specifically, please check that the following CLI is still functional and performant:

$ python -m modelopt.onnx.quantization --onnx_path=/mnt/models/bevformer_tiny_epoch_24_cp2_op13.onnx \
      --trt_plugins=$PLUGIN_PATH \
      --op_types_to_exclude MatMul \
      --calibration_data_path=/workspace/BEVFormer_tensorrt/data/nuscenes/calib_data.npz \
      --simplify

Thanks!