code: def forward(self, input_):
      if not self.training:
          return F.softmax(input_, dim=-1)
      else:
          return input_
  
imports: import math
  from collections import OrderedDict
  from typing import Optional, Tuple
  import torch
  import torch.nn.functional
  from torch import nn, Tensor
label_desc: Use image node_id 1 for calling the InferenceBatchSoftmax obj's underlying member method code with example usage: obj.forward(input_) and returns: F, input_