code: def testWrongDimensions(self):
      # The matrix and right-hand sides should have the same number of rows.
      matrix = constant_op.constant([[1.0, 0.0], [0.0, 1.0]])
      rhs = constant_op.constant([[1.0, 0.0]])
      with self.assertRaises(
          (ValueError, errors_impl.InvalidArgumentError)
      ):
          self.evaluate(linalg_ops.matrix_solve(matrix, rhs))
  
      # The matrix and right-hand side should have the same batch dimensions
      matrix = np.random.normal(size=(2, 6, 2, 2))
      rhs = np.random.normal(size=(2, 3, 2, 2))
      with self.assertRaises(
          (ValueError, errors_impl.InvalidArgumentError)
      ):
          self.evaluate(linalg_ops.matrix_solve(matrix, rhs))
  
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 6 for calling the MatrixSolveOpTest obj's underlying member method code with example usage: obj.testWrongDimensions() without return types