code: def __init__(self) -> None:
      self.model_config: DLRMModelConfig = load_pickle_config(
          "config.pkl", DLRMModelConfig
      )
  
file_path: torchrec/examples/inference/dlrm_predict_single_gpu.py
imports: import logging
  from typing import Dict
  import torch
  from dlrm_predict import DLRMModelConfig, DLRMPredictModule
  from torchrec.inference.model_packager import load_pickle_config
  from torchrec.inference.modules import PredictFactory, quantize_embeddings
  from torchrec.modules.embedding_configs import EmbeddingBagConfig
  from torchrec.modules.embedding_modules import EmbeddingBagCollection
label_desc: Use image node_id 1 to create a new DLRMPredictSingleGPUFactory object from inherited base classes: PredictFactory with example: obj = DLRMPredictSingleGPUFactory()