code: def parse_args_onnxruntime_optimize(parser: "ArgumentParser"):
      required_group = parser.add_argument_group("Required arguments")
      required_group.add_argument(
          "--onnx_model",
          type=Path,
          required=True,
          help="Path to the repository where the ONNX models to optimize are located.",
      )
      required_group.add_argument(
          "-o",
          "--output",
          type=Path,
          required=True,
          help="Path to the directory where to store generated ONNX model.",
      )
  
      level_group = parser.add_mutually_exclusive_group(required=True)
      level_group.add_argument(
          "-O1",
          action="store_true",
          help="Basic general optimizations (see: https://huggingface.co/docs/optimum/onnxruntime/usage_guides/optimization for more details).",
      )
      level_group.add_argument(
          "-O2",
          action="store_true",
          help="Basic and extended general optimizations, transformers-specific fusions (see: https://huggingface.co/docs/optimum/onnxruntime/usage_guides/optimization for more details).",
      )
      level_group.add_argument(
          "-O3",
          action="store_true",
          help="Same as O2 with Gelu approximation (see: https://huggingface.co/docs/optimum/onnxruntime/usage_guides/optimization for more details).",
      )
      level_group.add_argument(
          "-O4",
          action="store_true",
          help="Same as O3 with mixed precision (see: https://huggingface.co/docs/optimum/onnxruntime/usage_guides/optimization for more details).",
      )
      level_group.add_argument(
          "-c",
          "--config",
          type=Path,
          help="`ORTConfig` file to use to optimize the model.",
      )
  
file_path: optimum/optimum/commands/onnxruntime/optimize.py
imports: from pathlib import Path
  from typing import TYPE_CHECKING
  from optimum.commands.base import BaseOptimumCLICommand
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args_onnxruntime_optimize(parser) without return types