class_docstr: API for solvers with possibly adaptive time stepping.
code: def init_extra_solver_state(self, t0, y0) -> Tensors:
      return ()
  
file_path: torchsde/torchsde/_core/base_solver.py
imports: import abc
  import warnings
  import torch
  from .None import adaptive_stepping
  from .None import better_abc
  from .None import interp
  from .base_sde import BaseSDE
  from .._brownian import BaseBrownian
  from ..settings import NOISE_TYPES
  from ..types import Scalar, Tensor, Dict, Tensors, Tuple
label_desc: Use image node_id 3 for calling the BaseSDESolver obj's underlying member method code with example usage: obj.init_extra_solver_state(t0, y0) and returns: 