code: def testBadOrder(self):
      matrix = [[0.0, 1.0], [2.0, 3.0]]
      for ord_ in "fro", -7, -1.1, 0:
          with self.assertRaisesRegex(
              ValueError, "'ord' must be a supported vector norm"
          ):
              linalg_ops.norm(matrix, ord=ord_)
  
      for ord_ in "fro", -7, -1.1, 0:
          with self.assertRaisesRegex(
              ValueError, "'ord' must be a supported vector norm"
          ):
              linalg_ops.norm(matrix, ord=ord_, axis=-1)
  
      for ord_ in "foo", -7, -1.1, 1.1:
          with self.assertRaisesRegex(
              ValueError, "'ord' must be a supported matrix norm"
          ):
              linalg_ops.norm(matrix, ord=ord_, axis=[-2, -1])
  
file_path: tensorflow/tensorflow/python/kernel_tests/linalg/norm_op_test.py
imports: import numpy
  from tensorflow.python.framework import constant_op
  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 1 for calling the NormOpTest obj's underlying member method code with example usage: obj.testBadOrder() without return types