code: def forward(self, logits: torch.Tensor) -> str:
      """Given a sequence logits over labels, get the best path string
  
      Args:
          logits (Tensor): Logit tensors. Shape `[num_seq, num_label]`.
  
      Returns:
          str: The resulting transcript
      """
      best_path = torch.argmax(logits, dim=-1)  # [num_seq,]
      best_path = torch.unique_consecutive(best_path, dim=-1)
      hypothesis = ""
      for i in best_path:
          char = self.labels[i]
          if char in ["<s>", "<pad>"]:
              continue
          if char == "|":
              char = " "
          hypothesis += char
      return hypothesis
  
imports: import torch
label_desc: Use image node_id 2 for calling the Decoder obj's underlying member method code with example usage: obj.forward(logits) and returns: hypothesis