class_docstr: Diagnostics returned by a Solver.
class_docstr_tok: ["Diagnostics","returned","by","a","Solver","."]
docstr: Number of Jacobian evaluations.
  
  Returns:
    num_jacobian_evaluations: Scalar integer `Tensor` containing number of
      Jacobian evaluations.
docstr_tok: ["Number","of","Jacobian","evaluations",".","Returns",":","num_jacobian_evaluations",":","Scalar","integer","`","Tensor","`","containing","number","of","Jacobian","evaluations","."]
code: def num_jacobian_evaluations(self):
      """Number of Jacobian evaluations.
  
      Returns:
        num_jacobian_evaluations: Scalar integer `Tensor` containing number of
          Jacobian evaluations.
      """
      pass
  
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 2 for calling the Diagnostics obj's underlying member method code with example usage: obj.num_jacobian_evaluations() without return types