class_docstr: Base class for an ODE solver.
class_docstr_tok: ["Base","class","for","an","ODE","solver","."]
docstr: Adjust the previous internal state in response to a state jump.
docstr_tok: ["Adjust","the","previous","internal","state","in","response","to","a","state","jump","."]
code: def _adjust_solver_internal_state_for_state_jump(
      self,
      ode_fn,
      initial_time,
      initial_state,
      previous_solver_internal_state,
      previous_state,
  ):
      """Adjust the previous internal state in response to a state jump."""
      del previous_solver_internal_state
      del previous_state
      return self._initialize_solver_internal_state(
          ode_fn=ode_fn,
          initial_time=initial_time,
          initial_state=initial_state,
      )
  
imports: import abc
  import collections
  import functools
  import six
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import custom_gradient
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math.ode import runge_kutta_util
  from tensorflow_probability.python.math.ode import util
label_desc: Use image node_id 6 for calling the Solver obj's underlying member method code with example usage: obj._adjust_solver_internal_state_for_state_jump(ode_fn, initial_time, initial_state, previous_solver_internal_state, previous_state) and returns: self