code: def forward(self, batch):
      bsz = batch["units"].size(0)
      return (
          F.log_softmax(self.logits, dim=-1)
          .unsqueeze(0)
          .expand(bsz, self.logits.size(0))
      )
  
imports: import math
  import torch
  import torch.nn
  from torch.nn import TransformerEncoder, TransformerEncoderLayer
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the ConstantBaseline obj's underlying member method code with example usage: obj.forward(batch) and returns: F