code: def forward(self, x):
      x = self.affine1(x)
      x = self.dropout(x)
      x = F.relu(x)
      action_scores = self.affine2(x)
      return F.softmax(action_scores, dim=1)
  
file_path: ignite/examples/reinforcement_learning/reinforce.py
imports: import argparse
  from collections import deque
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from torch.distributions import Categorical
  from ignite.engine import Engine, Events
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: F