code: def parse_args():
      parser = argparse.ArgumentParser()
  
      parser.add_argument(
          "--dump_path", required=False, default=None, type=str
      )
  
      parser.add_argument(
          "--dump_path_stage_2", required=False, default=None, type=str
      )
  
      parser.add_argument(
          "--dump_path_stage_3", required=False, default=None, type=str
      )
  
      parser.add_argument(
          "--unet_config",
          required=False,
          default=None,
          type=str,
          help="Path to unet config file",
      )
  
      parser.add_argument(
          "--unet_checkpoint_path",
          required=False,
          default=None,
          type=str,
          help="Path to unet checkpoint file",
      )
  
      parser.add_argument(
          "--unet_checkpoint_path_stage_2",
          required=False,
          default=None,
          type=str,
          help="Path to stage 2 unet checkpoint file",
      )
  
      parser.add_argument(
          "--unet_checkpoint_path_stage_3",
          required=False,
          default=None,
          type=str,
          help="Path to stage 3 unet checkpoint file",
      )
  
      parser.add_argument("--p_head_path", type=str, required=True)
  
      parser.add_argument("--w_head_path", type=str, required=True)
  
      args = parser.parse_args()
  
      return args
  
imports: import argparse
  import inspect
  import os
  import numpy
  import torch
  import yaml
  from torch.nn import functional
  from transformers import CLIPConfig, CLIPImageProcessor, CLIPVisionModelWithProjection, T5EncoderModel, T5Tokenizer
  from diffusers import DDPMScheduler, IFPipeline, IFSuperResolutionPipeline, UNet2DConditionModel
  from diffusers.pipelines.deepfloyd_if.safety_checker import IFSafetyChecker
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args