code: def matrix_norm(
      x: ArrayLike, /, *, keepdims: bool = False, ord: str = "fro"
  ) -> Array:
      """
      Computes the matrix norm of a matrix (or a stack of matrices) x.
      """
      check_arraylike("jnp.linalg.matrix_norm", x)
      return norm(x, ord=ord, keepdims=keepdims, axis=(-2, -1))
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from functools import partial
  import numpy
  import textwrap
  import operator
  from typing import Literal, cast, overload
  import jax
  from jax import jit, custom_jvp
  from jax import lax
  from jax._src.lax import lax
  from jax._src.lax import linalg
  from jax._src.numpy import lax_numpy
  from jax._src.numpy import reductions, ufuncs
  from jax._src.numpy.util import _wraps, promote_dtypes_inexact, check_arraylike
  from jax._src.util import canonicalize_axis
  from jax._src.typing import ArrayLike, Array
label_desc: Use image node_id 37 for calling a global function with example usage: matrix_norm() and returns: norm