code: def _compareDeterminantBase(self, matrix_x, tf_ans):
      out = self.evaluate(tf_ans)
      shape = matrix_x.shape
      if shape[-1] == 0 and shape[-2] == 0:
          np_ans = np.ones(shape[:-2]).astype(matrix_x.dtype)
      else:
          np_ans = np.array(np.linalg.det(matrix_x)).astype(
              matrix_x.dtype
          )
      self.assertShapeEqual(np_ans, tf_ans)
      self.assertAllClose(np_ans, out, atol=5e-5)
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_linalg_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the DeterminantOpTest obj's underlying member method code with example usage: obj._compareDeterminantBase(matrix_x, tf_ans) without return types