code: def __init__(
      self,
      *,
      rel_stepsize: float,
      abs_stepsize: Optional[float] = None,
      steps: int,
      random_start: bool,
  ):
      self.rel_stepsize = rel_stepsize
      self.abs_stepsize = abs_stepsize
      self.steps = steps
      self.random_start = random_start
  
imports: from typing import Union, Any, Optional, Callable, Tuple
  from abc import ABC, abstractmethod
  import eagerpy
  from ..devutils import flatten
  from ..devutils import atleast_kd
  from ..types import Bounds
  from ..models.base import Model
  from ..criteria import Misclassification, TargetedMisclassification
  from ..distances import l1, l2, linf
  from .base import FixedEpsilonAttack
  from .base import T
  from .base import get_criterion
  from .base import raise_if_kwargs
  from .base import verify_input_bounds
label_desc: Use image node_id 1 to create a new BaseGradientDescent object from inherited base classes: FixedEpsilonAttack, ABC with example: obj = BaseGradientDescent()