code: def norm(x, ord=None, axis=None, keepdims=False):
      if axis is None and (ord is not None):
          if x.ndim not in (1, 2):
              raise ValueError("Improper number of dimensions to norm.")
          else:
              if x.ndim == 1:
                  ret = ivy.vector_norm(
                      x, axis=axis, keepdims=keepdims, ord=ord
                  )
              else:
                  ret = ivy.matrix_norm(
                      x, axis=axis, keepdims=keepdims, ord=ord
                  )
      elif axis is None and ord is None:
          x = ivy.flatten(x)
          ret = ivy.vector_norm(x, axis=0, keepdims=keepdims, ord=2)
      if isinstance(axis, int):
          ret = ivy.vector_norm(
              x, axis=axis, keepdims=keepdims, ord=ord
          )
      elif isinstance(axis, tuple):
          ret = ivy.matrix_norm(
              x, axis=axis, keepdims=keepdims, ord=ord
          )
      return ret
  
file_path: ivy/ivy/functional/frontends/numpy/linalg/norms_and_other_numbers.py
imports: import ivy
  from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back, from_zero_dim_arrays_to_scalar
  from ivy.func_wrapper import with_unsupported_dtypes
label_desc: Use image node_id 3 for calling a global function with example usage: norm(x, ord, axis, keepdims) and returns: ret