code: def softmax(x, dim):
      temp = np.exp(x - np.max(x, dim, keepdims=True))
      return temp / temp.sum(dim, keepdims=True)
  
imports: import argparse
  import os
  import random
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 4 for calling a global function with example usage: softmax(x, dim) and returns: unknown