code: def density(tensor):
      """Computes the density of a tensor.
  
      Density is the fraction of non-zero elements in a tensor.
      If a tensor has a density of 1.0, then it has no zero elements.
  
      Args:
          tensor: the tensor for which we compute the density.
  
      Returns:
          density (float)
      """
      # Using torch.nonzero(tensor) can lead to memory exhaustion on
      # very large tensors, so we count zeros "manually".
      nonzero = tensor.abs().gt(0).sum()
      return float(nonzero.item()) / torch.numel(tensor)
  
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 12 for calling a global function with example usage: density(tensor) and returns: unknown