code: def forward(self, x):
      x = self.dense(x)
      probs = self.action_pred(x)
      values = self.value_pred(x)
      return npx.softmax(probs), values
  
file_path: mxnet/example/gluon/actor_critic/actor_critic.py
imports: from __future__ import print_function
  import argparse
  import gym
  from itertools import count
  import numpy
  import mxnet
  from mxnet import gluon
  from mxnet.gluon import nn
  from mxnet import autograd, npx
label_desc: Use image node_id 2 for calling the Policy obj's underlying member method code with example usage: obj.forward(x) and returns: npx,  values