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"""Export a HF checkpoint (with ModelOpt state) for deployment."""

import argparse

import torch

import modelopt.torch.opt as mto
from modelopt.torch.export import export_speculative_decoding
from modelopt.torch.speculative.utils import load_vlm_or_llm_with_kwargs


def parse_args():
    parser = argparse.ArgumentParser(
        description="Export a HF checkpoint (with ModelOpt state) for deployment."
    )
    parser.add_argument("--model_path", type=str, default="Path of the trained checkpoint.")
    parser.add_argument(
        "--export_path", type=str, default="Destination directory for exported files."
    )
    return parser.parse_args()


mto.enable_huggingface_checkpointing()

args = parse_args()
_, model = load_vlm_or_llm_with_kwargs(args.model_path, torch_dtype="auto")
model.eval()
with torch.inference_mode():
    export_speculative_decoding(
        model,
        export_dir=args.export_path,
    )
print(f"Exported checkpoint to {args.export_path}")