code: def forward(self, x, mask_info):
      x = x.transpose(1, 2)
  
      residual = x
  
      for i, layer in enumerate(self.blocks):
          x = layer(x)
          x = self.add_residual(x, residual, i, mask_info)
          residual = x
  
      x = x.transpose(1, 2)
      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 2 for calling the Decoder1d obj's underlying member method code with example usage: obj.forward(x, mask_info) and returns: x