class_docstr: Abstract class for attention modules
code: def __init__(self):
      super().__init__()
      self.incremental_clone_ids = set("")
  
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 1 to create a new AttentionAbstract object from inherited base classes: nn with example: obj = AttentionAbstract()