code: def test_cosh():
      def cosh(x):
          return nd.cosh(x)
  
      def grad_grad_op(x):
          return cosh(x)
  
      for dim in range(1, 5):
          shape = rand_shape_nd(dim)
          array = random_arrays(shape)
          check_second_order_unary(array, cosh, grad_grad_op)
  
imports: import math
  import random
  from functools import reduce
  from operator import mul
  import random
  from common import xfail_when_nonstandard_decimal_separator
  import mxnet
  from mxnet import nd, autograd, gluon
  from mxnet.test_utils import assert_almost_equal, random_arrays, random_uniform_arrays, rand_shape_nd, same
label_desc: Use image node_id 5 for calling a global function with example usage: test_cosh() and returns: nd, cosh