code: def _scipy_invgauss(loc, concentration):
      # Wrapper of scipy's invgauss function, which is used to generate expected
      # output.
      # scipy uses a different parameterization.
      # See https://github.com/scipy/scipy/issues/4654.
      return stats.invgauss(mu=loc / concentration, scale=concentration)
  
imports: import numpy
  from scipy import misc
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import inverse_gaussian
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 1 for calling a global function with example usage: _scipy_invgauss(loc, concentration) and returns: stats