upgrade modelopt

[lanluo-nvidia]

Description

upgrade modelopt

Fixes # (issue)

Type of change

Please delete options that are not relevant and/or add your own.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Checklist:

• My code follows the style guidelines of this project (You can use the linters)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas and hacks
• I have made corresponding changes to the documentation
• I have added tests to verify my fix or my feature
• New and existing unit tests pass locally with my changes
• I have added the relevant labels to my PR in so that relevant reviewers are notified

[HolyWu]

Besides CI failure, I think torchtrt won't need the onnx submodule of modelopt. So instead of nvidia-modelopt[all] you can use nvidia-modelopt[deploy,hf,torch] to save some installation space and time. Also don't forget

TensorRT/tests/py/dynamo/models/test_models_export.py

Lines 254 to 255 in 5719928

	or Version(metadata.version("nvidia-modelopt")) < Version("0.16.1"),
	"modelopt 0.16.1 or later is required Int8 quantization is supported in modelopt since 0.16.1 or later",