code: def sparsity_matrix(tensor, dim):
      """Generic sparsity computation for 2D matrices"""
      if tensor.dim() != 2:
          return 0
  
      num_structs = tensor.size()[dim]
      nonzero_structs = len(
          torch.nonzero(tensor.abs().sum(dim=1 - dim))
      )
      return 1 - nonzero_structs / num_structs
  
imports: import argparse
  from collections import OrderedDict
  from copy import deepcopy
  import logging
  import operator
  import random
  import numpy
  import torch
  import torch.nn
  import torch.backends.cudnn
  import yaml
  import inspect
label_desc: Use image node_id 22 for calling a global function with example usage: sparsity_matrix(tensor, dim) and returns: unknown, int