code: def decode(self, batch: tensor_dict_type, **kwargs: Any) -> Tensor:
      return run_decoder(self, 0, batch, **kwargs)[PREDICTIONS_KEY]
  
imports: from torch import Tensor
  from typing import Any
  from typing import Dict
  from typing import Type
  from typing import Optional
  from cftool.misc import safe_execute
  from cftool.misc import print_warning
  from cftool.misc import shallow_copy_dict
  from cftool.misc import WithRegister
  from cftool.types import tensor_dict_type
  from ....schema import _forward
  from ....schema import TrainerState
  from ....constants import INPUT_KEY
  from ....constants import LABEL_KEY
  from ....constants import PREDICTIONS_KEY
  from ....misc.toolkit import interpolate
  from ....misc.toolkit import auto_num_layers
  from ....modules.blocks import ChannelPadding
label_desc: Use image node_id 4 for calling the IDecoder obj's underlying member method code with example usage: obj.decode(batch) and returns: run_decoder