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