class_docstr: Diagnostics returned by a Solver.
class_docstr_tok: ["Diagnostics","returned","by","a","Solver","."]
docstr: Boolean indicating whether or not the method succeeded.
  
  Returns:
    success: Boolean `Tensor` equivalent to `status >= 0`.
docstr_tok: ["Boolean","indicating","whether","or","not","the","method","succeeded",".","Returns",":","success",":","Boolean","`","Tensor","`","equivalent","to","`","status",">","=","0","`","."]
code: def success(self):
      """Boolean indicating whether or not the method succeeded.
  
      Returns:
        success: Boolean `Tensor` equivalent to `status >= 0`.
      """
      return self.status >= 0
  
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 5 for calling the Diagnostics obj's underlying member method code with example usage: obj.success() and returns: unknown