code: def vector_norm(x, ord=None, axis=None, keepdims=False):
      r"""
      Computes the vector norm of a vector (or batch of vectors) `x`.
  
      Parameters
      ----------
      x : ndarray
          Input array. Should have a floating-point data type.
      ord : {non-zero int, inf, -inf}, optional
          Order of the norm.
      axis : {int, n-tuple of ints, None}, optional
          If `axis` is an integer, it specifies the axis of `x` along which to
          compute the vector norms.  If `axis` is a n-tuple, it specifies the
          axes along which to compute batched vector norms. If `axis` is None,
          the norm of the whole ndarray is returned.
      keepdims : bool, optional
          If this is set to True, the axes which are normed over are left in the
          result as dimensions with size one.  With this option the result will
          broadcast correctly against the original `x`.
  
      Returns
      -------
      n : float or ndarray
          Norm of the vector(s).
  
      Notes
      -----
      `vector_norm` is a standard API in
      https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-vector-norm-x-axis-none-keepdims-false-ord-2
      instead of an official NumPy operator.
  
      """
      if axis is None:
          x = x.flatten()
          axis = 0
      elif isinstance(axis, tuple):
          rest = tuple(i for i in range(x.ndim) if i not in axis)
          newshape = axis + rest
          x = _mx_nd_np.transpose(x, newshape).reshape(
              (
                  reduce(
                      lambda a, b: a * b, [x.shape[a] for a in axis]
                  ),
                  *[x.shape[i] for i in rest],
              )
          )
          axis = 0
      return _mx_nd_np.linalg.norm(
          x, axis=axis, keepdims=keepdims, ord=ord
      )
  
imports: from functools import reduce
  from ..ndarray import numpy
  from ..util import wrap_data_api_linalg_func
  from .fallback_linalg import *
  from .None import fallback_linalg
label_desc: Use image node_id 12 for calling a global function with example usage: vector_norm(x, ord, axis, keepdims) and returns: _mx_nd_np