code: def weights_abs_sum(model):
      return reduce_params(model, lambda p: p.abs().sum().item())
  
imports: import math
  import numpy
  import random
  import heapq
  from .None import utils
  from .lv_types import ImageData, PointData
  from collections import OrderedDict
  from itertools import groupby, islice
  import operator
  from typing import Callable, List, Iterable, Any, Sized, Tuple
  from .None import utils
  from .None import tensor_utils
label_desc: Use image node_id 13 for calling a global function with example usage: weights_abs_sum(model) and returns: reduce_params