code: def get_random_start(
      self, x0: ep.Tensor, epsilon: float
  ) -> ep.Tensor:
      return x0 + ep.uniform(x0, x0.shape, -epsilon, epsilon)
  
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 for calling the LinfBaseGradientDescent obj's underlying member method code with example usage: obj.get_random_start(x0, epsilon) and returns: unknown