code: def softmax(x):
      m = max(x)
      exps = [math.exp(i - m) for i in x]
      s = sum(exps)
      for idx, _ in enumerate(exps):
          exps[idx] /= s
      return exps
  
label_desc: Use image node_id 1 for calling a global function with example usage: softmax(x) and returns: exps