code: def result_metadata(self) -> str:
      return "dict_of_tensor"
  
imports: import logging
  from dataclasses import dataclass
  from typing import Dict, List, Optional
  import torch
  import torchrec.distributed
  from torchrec.distributed.embedding_types import EmbeddingComputeKernel
  from torchrec.distributed.planner import EmbeddingShardingPlanner, ParameterConstraints, Topology
  from torchrec.distributed.quant_embeddingbag import QuantEmbeddingBagCollectionSharder
  from torchrec.distributed.types import ShardingType
  from torchrec.inference.model_packager import load_pickle_config
  from torchrec.inference.modules import PredictFactory, PredictModule, quantize_embeddings
  from torchrec.models.dlrm import DLRM
  from torchrec.modules.embedding_configs import EmbeddingBagConfig
  from torchrec.modules.embedding_modules import EmbeddingBagCollection
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
label_desc: Use image node_id 4 for calling the DLRMPredictFactory obj's underlying member method code with example usage: obj.result_metadata() and returns: str