class_docstr: Abstract class for attention modules
code: def _get_input_buffer(
      self, incremental_state, incremental_clone_id: str = ""
  ):
      return (
          utils.get_incremental_state(
              self,
              incremental_state,
              "attn_state" + incremental_clone_id,
          )
          or {}
      )
  
imports: import torch
  import torch.nn.functional
  from fairseq import utils
  from fairseq.incremental_decoding_utils import with_incremental_state
  from torch import nn
label_desc: Use image node_id 4 for calling the AttentionAbstract obj's underlying member method code with example usage: obj._get_input_buffer(incremental_state, incremental_clone_id) and returns: unknown