message: Fix description of tf.norm as it doesn't actually accept `ord=0`.
diff: @@ -431,7 +431,7 @@ def norm(tensor, ord='euclidean', axis=None, keep_dims=False, name=None):
  Args:
  tensor: `Tensor` of types `float32`, `float64`, `complex64`, `complex128`
  - ord: Order of the norm. Supported values are 'fro', 'euclidean', `0`,
  + 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
  `tensor` is a matrix and equivalent to 2-norm for vectors.
  