code: def testNonSquareMatrix(self):
      # A non-square matrix should cause an error.
      matrix = np.array([[1.0, 2.0, 3.0], [3.0, 4.0, 5.0]])
      with self.cached_session():
          with self.assertRaises(ValueError):
              self._verifySolve(matrix, matrix)
          with self.assertRaises(ValueError):
              self._verifySolve(matrix, matrix, batch_dims=[2, 3])
  
imports: import numpy
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the MatrixTriangularSolveOpTest obj's underlying member method code with example usage: obj.testNonSquareMatrix() without return types