class_docstr: Abstract class for attention modules
code: def _set_input_buffer(
      self, incremental_state, buffer, incremental_clone_id: str = ""
  ):
      self.incremental_clone_ids.add(incremental_clone_id)
      utils.set_incremental_state(
          self,
          incremental_state,
          "attn_state" + incremental_clone_id,
          buffer,
      )
  
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 5 for calling the AttentionAbstract obj's underlying member method code with example usage: obj._set_input_buffer(incremental_state, buffer, incremental_clone_id) without return types