code: def override_1cycle_params(args, params):
      if (
          hasattr(args, CYCLE_FIRST_STEP_SIZE)
          and args.cycle_first_step_size is not None
      ):
          params[CYCLE_FIRST_STEP_SIZE] = args.cycle_first_step_size
  
      if (
          hasattr(args, CYCLE_FIRST_STAIR_COUNT)
          and args.cycle_first_stair_count is not None
      ):
          params[CYCLE_FIRST_STAIR_COUNT] = args.cycle_first_stair_count
  
      if (
          hasattr(args, CYCLE_SECOND_STEP_SIZE)
          and args.cycle_second_step_size is not None
      ):
          params[CYCLE_SECOND_STEP_SIZE] = args.cycle_second_step_size
  
      if (
          hasattr(args, CYCLE_SECOND_STAIR_COUNT)
          and args.cycle_second_stair_count is not None
      ):
          params[
              CYCLE_SECOND_STAIR_COUNT
          ] = args.cycle_second_stair_count
  
      if (
          hasattr(args, DECAY_STEP_SIZE)
          and args.decay_step_size is not None
      ):
          params[DECAY_STEP_SIZE] = args.decay_step_size
  
      # 1Cycle LR params
      if hasattr(args, CYCLE_MIN_LR) and args.cycle_min_lr is not None:
          params[CYCLE_MIN_LR] = args.cycle_min_lr
  
      if hasattr(args, CYCLE_MAX_LR) and args.cycle_max_lr is not None:
          params[CYCLE_MAX_LR] = args.cycle_max_lr
  
      if (
          hasattr(args, DECAY_LR_RATE)
          and args.decay_lr_rate is not None
      ):
          params[DECAY_LR_RATE] = args.decay_lr_rate
  
      # 1Cycle MOM params
      if (
          hasattr(args, CYCLE_MIN_MOM)
          and args.cycle_min_mom is not None
      ):
          params[CYCLE_MIN_MOM] = args.cycle_min_mom
  
      if (
          hasattr(args, CYCLE_MAX_MOM)
          and args.cycle_max_mom is not None
      ):
          params[CYCLE_MAX_MOM] = args.cycle_max_mom
  
      if (
          hasattr(args, DECAY_MOM_RATE)
          and args.decay_mom_rate is not None
      ):
          params[DECAY_MOM_RATE] = args.decay_mom_rate
  
imports: import argparse
  from torch.optim import Optimizer
  import math
  from deepspeed.utils import logger
label_desc: Use image node_id 4 for calling a global function with example usage: override_1cycle_params(args, params) without return types