code: def decode(
      self,
      batch: tensor_dict_type,
      *,
      resize: bool = True,
      **kwargs: Any,
  ) -> Tensor:
      net = self.decoder.decode(batch, **kwargs)
      if resize:
          net = self.resize(net)
      return net
  
imports: import torch
  from torch import nn
  from torch import Tensor
  from typing import Any
  from typing import Dict
  from typing import Optional
  from typing import NamedTuple
  from cftool.types import tensor_dict_type
  from .encoder import make_encoder
  from .encoder import IEncoder
  from .encoder import EncoderMixin
  from .decoder import make_decoder
  from .decoder import IDecoder
  from ...misc.toolkit import auto_num_layers
label_desc: Use image node_id 3 for calling the EncoderDecoderMixin obj's underlying member method code with example usage: obj.decode(batch) and returns: net