code: def forward_expected(self, inputs):
      (a,) = inputs
      a = 0.5 * (a + a.T)
      y_expect = numpy.linalg.cholesky(a)
      return (y_expect.astype(self.dtype),)
  
file_path: chainer/tests/chainer_tests/functions_tests/math_tests/test_cholesky.py
imports: import numpy
  import chainer.functions
  from chainer import testing
label_desc: Use image node_id 4 for calling the TestCholesky obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: y_expect