class_docstr: Serializable data structure for holding data for blocks --
  embeddings and necessary metadata for Retriever
class_docstr_tok: ["Serializable","data","structure","for","holding","data","for","blocks","--","embeddings","and","necessary","metadata","for","Retriever"]
code: def state(self):
      return {
          "embed_data": self.embed_data,
      }
  
imports: import itertools
  import os
  import pickle
  import shutil
  import numpy
  import torch
  from megatron import get_args
  from megatron.core import mpu
label_desc: Use image node_id 2 for calling the OpenRetreivalDataStore obj's underlying member method code with example usage: obj.state() and returns: dict