code: def state_batch_axis(self):
      if self._layout == "NT":
          return [0 for _ in range(self._num_layers + 1)]
      elif self._layout == "TN":
          return [1 for _ in range(self._num_layers + 1)]
      else:
          raise NotImplementedError
  
imports: import numpy
  import mxnet
  from mxnet import use_np, np, npx
  from mxnet.gluon import nn, Block, HybridBlock, Parameter
  from ..attention_cell import multi_head_dot_attn, gen_self_attn_mask, gen_mem_attn_mask, RelAttentionScoreCell, MultiHeadAttentionCell
  from ..layers import get_activation, PositionalEmbedding, PositionwiseFFN, AdaptiveEmbedding, ProjectedAdaptiveLogSoftmaxWithLoss
  from ..utils.config import CfgNode
  from ..sequence_sampler import BaseStepDecoder
label_desc: Use image node_id 6 for calling the TransformerXLForLM obj's underlying member method code with example usage: obj.state_batch_axis() and returns: unknown, unknown