code: def testInvalidAxis(self):
      matrix = [[0.0, 1.0], [2.0, 3.0]]
      for axis_ in [], [1, 2, 3], [[1]], [[1], [2]], [3.1415], [1, 1]:
          error_prefix = (
              "'axis' must be None, an integer, or a tuple of 2 unique "
              "integers"
          )
          with self.assertRaisesRegex(ValueError, error_prefix):
              linalg_ops.norm(matrix, axis=axis_)
  
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 2 for calling the NormOpTest obj's underlying member method code with example usage: obj.testInvalidAxis() without return types