code: def forward(self, x, mask_info):
      x = self.input_proj(x)
      x = self.encoder(x, None, None, 1)
      x = self.proj(x)
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import numpy
  from dataclasses import dataclass
  from fairseq.modules import LayerNorm, SamePad, SamePad2d, TransposeLast
label_desc: Use image node_id 3 for calling the TransformerDecoder obj's underlying member method code with example usage: obj.forward(x, mask_info) and returns: x