[Model builder] Add option to exclude cache in inputs and outputs

[xenova]

In certain cases (e.g., single-round conversations), it is not necessary to require past_key_values as inputs and present outputs, like with https://huggingface.co/livekit/turn-detector (and its usage here).

So, this PR adds an option to exclude these inputs and outputs from the graph.

Example usage:

python builder.py -m livekit/turn-detector -o converted -e cpu -p fp32 --extra_options exclude_cache=True

Output graph signature:

For comparison, graph signature w/ cache IO:

[xenova]

@microsoft-github-policy-service agree [company="{Hugging Face}"]

[xenova]

@microsoft-github-policy-service agree company="Hugging Face"

[xenova]

This modification only works for models w/ GQA. Maybe someone with a bit more experience with the model builder could help get it working for models w/ MHA? 😇