code: def testBasic(self):
      # 2x2 matrices
      self._compareDeterminant(
          np.array([[2.0, 3.0], [3.0, 4.0]]).astype(np.float32)
      )
      self._compareDeterminant(
          np.array([[0.0, 0.0], [0.0, 0.0]]).astype(np.float32)
      )
      # 5x5 matrices (Eigen forces LU decomposition)
      self._compareDeterminant(
          np.array(
              [
                  [2.0, 3.0, 4.0, 5.0, 6.0],
                  [3.0, 4.0, 9.0, 2.0, 0.0],
                  [2.0, 5.0, 8.0, 3.0, 8.0],
                  [1.0, 6.0, 7.0, 4.0, 7.0],
                  [2.0, 3.0, 4.0, 5.0, 6.0],
              ]
          ).astype(np.float32)
      )
      # A multidimensional batch of 2x2 matrices
      self._compareDeterminant(
          np.random.rand(3, 4, 5, 2, 2).astype(np.float32)
      )
  
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 4 for calling the DeterminantOpTest obj's underlying member method code with example usage: obj.testBasic() without return types