code: def forward(self, inputs: List[Tensor]) -> Tensor:
      return pt.cat(inputs, dim=self.dim)
  
imports: from typing import List, Optional
  from collections import deque
  import math
  import torch
  from torch import Tensor
  from torch import nn
  from torch.distributions import Distribution
  from torch.distributions import Normal
label_desc: Use image node_id 2 for calling the Concatenate obj's underlying member method code with example usage: obj.forward(inputs) and returns: pt