code: def testNonSquareMatrix(self):
      # When the solve of a non-square matrix is attempted we should return
      # an error
      with self.assertRaises(
          (ValueError, errors_impl.InvalidArgumentError)
      ):
          matrix = constant_op.constant(
              [[1.0, 2.0, 3.0], [3.0, 4.0, 5.0]]
          )
          self.evaluate(linalg_ops.matrix_solve(matrix, matrix))
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import stateless_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 5 for calling the MatrixSolveOpTest obj's underlying member method code with example usage: obj.testNonSquareMatrix() without return types