code: def body(self, features):
      # TODO(lukaszkaiser): investigate this issue and repair.
      if self._hparams.initializer == "orthogonal":
          raise ValueError(
              "LSTM models fail with orthogonal initializer."
          )
      train = self._hparams.mode == tf_estimator.ModeKeys.TRAIN
      return lstm_seq2seq_internal(
          features.get("inputs"),
          features["targets"],
          self._hparams,
          train,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  from tensor2tensor.layers import area_attention
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling the LSTMSeq2seq obj's underlying member method code with example usage: obj.body(features) and returns: lstm_seq2seq_internal