code: def test_eigvalsh_grad():
      if not imported_scipy:
          raise SkipTest("Scipy needed for the geigvalsh op.")
      import scipy.linalg
  
      rng = np.random.RandomState(utt.fetch_seed())
      a = rng.randn(5, 5)
      a = a + a.T
      b = 10 * np.eye(5, 5) + rng.randn(5, 5)
      tensor.verify_grad(
          lambda a, b: eigvalsh(a, b).dot([1, 2, 3, 4, 5]),
          [a, b],
          rng=np.random,
      )
  
imports: from __future__ import absolute_import, print_function, division
  import unittest
  import numpy
  import numpy.linalg
  from numpy.testing import assert_array_almost_equal
  from numpy.testing import dec, assert_array_equal, assert_allclose
  from numpy import inf
  import itertools
  import theano
  from theano import tensor, function, grad
  from theano.tensor.basic import _allclose
  from theano.tests.test_rop import break_op
  from theano.tests import unittest_tools
  from theano import config
  from theano.tensor.slinalg import Cholesky, cholesky, CholeskyGrad, Solve, solve, Eigvalsh, EigvalshGrad, eigvalsh, expm, kron
  from theano.tests.unittest_tools import attr
  from nose.plugins.skip import SkipTest
  from nose.tools import assert_raises
label_desc: Use image node_id 9 for calling a global function with example usage: test_eigvalsh_grad() without return types