class_docstr: T5 For RAG.
code: def reorder_decoder_incremental_state(
      self, incremental_state: Dict[int, dict], inds: torch.Tensor
  ) -> Optional[Dict[int, dict]]:
      return None
  
imports: import torch
  import torch.cuda
  import torch.nn
  import torch.nn.functional
  from typing import Any, Tuple, Dict, Optional, List, Union, Type
  from parlai.agents.hugging_face.t5 import ParlaiT5Encoder, ParlaiT5Decoder, build_t5, set_device
  from parlai.agents.transformer.modules import TransformerEncoder, TransformerDecoder, get_n_positions_from_options, create_embeddings
  from parlai.core.dict import DictionaryAgent
  from parlai.core.opt import Opt
  from parlai.core.torch_generator_agent import TorchGeneratorModel
  from parlai.utils.torch import padded_tensor
  from parlai.agents.rag.retrievers import RagRetriever, retriever_factory, Document
label_desc: Use image node_id 4 for calling the T5RagModel obj's underlying member method code with example usage: obj.reorder_decoder_incremental_state(incremental_state, inds) and returns: None