code: def torch_log(x, device="cpu"):
      x = torch.tensor(x, dtype=torch.float32)
      if device == "gpu":
          x = x.cuda()
      log_x = torch.log(x + 1e-20)
      log_x = log_x.cpu().numpy()
      return log_x
  
imports: import nose_utils
  import nvidia.dali.fn
  from nvidia.dali import pipeline_def
  import nvidia.dali.types
  from test_utils import get_files, to_array
  import numpy
  import librosa
  import torch
  import math
  import random
  import os
  from nose.tools import nottest
label_desc: Use image node_id 7 for calling a global function with example usage: torch_log(x, device) and returns: log_x