code: def log_softmax(x, dim):
      temp = x - np.max(x, dim, keepdims=True)
      return temp - np.log(np.exp(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 3 for calling a global function with example usage: log_softmax(x, dim) and returns: unknown