message: clean up backticks in docs for tf.norm
diff: @@ -437,13 +437,13 @@ def norm_v2(tensor,
  Args:
  tensor: `Tensor` of types `float32`, `float64`, `complex64`, `complex128`
  - ord: Order of the norm. Supported values are 'fro', 'euclidean',
  + ord: Order of the norm. Supported values are `'fro'`, `'euclidean'`,
  `1`, `2`, `np.inf` and any positive real number yielding the corresponding
  - p-norm. Default is 'euclidean' which is equivalent to Frobenius norm if
  + p-norm. Default is `'euclidean'` which is equivalent to Frobenius norm if
  `tensor` is a matrix and equivalent to 2-norm for vectors.
  Some restrictions apply:
  - a) The Frobenius norm `fro` is not defined for vectors,
  - b) If axis is a 2-tuple (matrix norm), only 'euclidean', 'fro', `1`,
  + a) The Frobenius norm `'fro'` is not defined for vectors,
  + b) If axis is a 2-tuple (matrix norm), only `'euclidean'`, '`fro'`, `1`,
  `2`, `np.inf` are supported.
  See the description of `axis` on how to compute norms for a batch of
  vectors or matrices stored in a tensor.
  