code: def allocate_inference_cache(
      self, batch_size, max_seqlen, dtype=None, **kwargs
  ):
      return self.backbone.allocate_inference_cache(
          batch_size, max_seqlen, dtype=dtype, **kwargs
      )
  
file_path: axolotl/src/axolotl/models/mamba/modeling_mamba.py
imports: import os
  from collections import namedtuple
  from functools import partial
  from typing import Optional, Union
  import torch
  from mamba_ssm.models.mixer_seq_simple import MixerModel, _init_weights
  from mamba_ssm.utils.generation import GenerationMixin
  from mamba_ssm.utils.hf import load_config_hf, load_state_dict_hf
  from torch import nn
  from torch.nn import CrossEntropyLoss
  from axolotl.models.mamba.configuration_mamba import MambaConfig
label_desc: Use image node_id 3 for calling the MambaLMHeadModel obj's underlying member method code with example usage: obj.allocate_inference_cache(batch_size, max_seqlen, dtype) and returns: self