class_docstr: Adjoint solver which propagates step size between solves.
class_docstr_tok: ["Adjoint","solver","which","propagates","step","size","between","solves","."]
code: def _initialize_solver_internal_state(self, **kwargs):
      del kwargs
      # The second value is solve count, for testing.
      return (self._first_step_size, 0)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math.ode import base
  from tensorflow_probability.python.math.ode import bdf
  from tensorflow_probability.python.math.ode import dormand_prince
label_desc: Use image node_id 3 for calling the StepSizeHeuristicAdjointSolver obj's underlying member method code with example usage: obj._initialize_solver_internal_state() and returns: self,  int