code: def forward(
      ctx,
      sde,
      ts,
      dt,
      bm,
      solver,
      method,
      adjoint_method,
      adjoint_adaptive,
      adjoint_rtol,
      adjoint_atol,
      dt_min,
      adjoint_options,
      len_extras,
      y0,
      *extras_and_adjoint_params,
  ):
      ctx.sde = sde
      ctx.dt = dt
      ctx.bm = bm
      ctx.adjoint_method = adjoint_method
      ctx.adjoint_adaptive = adjoint_adaptive
      ctx.adjoint_rtol = adjoint_rtol
      ctx.adjoint_atol = adjoint_atol
      ctx.dt_min = dt_min
      ctx.adjoint_options = adjoint_options
      ctx.len_extras = len_extras
  
      extra_solver_state = extras_and_adjoint_params[:len_extras]
      adjoint_params = extras_and_adjoint_params[len_extras:]
  
      # This .detach() is VERY IMPORTANT. See adjoint_sde.py::AdjointSDE.get_state.
      y0 = y0.detach()
      # Necessary for the same reason
      extra_solver_state = tuple(x.detach() for x in extra_solver_state)
      ys, extra_solver_state = solver.integrate(
          y0, ts, extra_solver_state
      )
  
      if (
          method == METHODS.reversible_heun
          and adjoint_method == METHODS.adjoint_reversible_heun
      ):
          ctx.saved_extras_for_backward = True
          extras_for_backward = extra_solver_state
      else:
          # Else just remove the `extra_solver_state` information.
          ctx.saved_extras_for_backward = False
          extras_for_backward = ()
      ctx.save_for_backward(
          ys, ts, *extras_for_backward, *adjoint_params
      )
      return (ys, *extra_solver_state)
  
file_path: torchsde/torchsde/_core/adjoint.py
imports: import torch
  from torch import nn
  import warnings
  from .None import base_sde
  from .None import methods
  from .None import misc
  from .None import sdeint
  from .adjoint_sde import AdjointSDE
  from .._brownian import BaseBrownian, ReverseBrownian
  from ..settings import METHODS, NOISE_TYPES, SDE_TYPES
  from ..types import Any, Dict, Optional, Scalar, Tensor, Tensors, TensorOrTensors, Vector
label_desc: Use image node_id 1 for calling the _SdeintAdjointMethod obj's underlying member method code with example usage: obj.forward(ctx, sde, ts, dt, bm, solver, method, adjoint_method, adjoint_adaptive, adjoint_rtol, adjoint_atol, dt_min, adjoint_options, len_extras, y0) and returns: ys,  unknown