code: def main(load_dir: Optional[str]) -> None:
      infer(load_dir=load_dir)
  
file_path: torchrec/examples/retrieval/two_tower_retrieval.py
imports: from typing import List, Optional
  import click
  import faiss
  import faiss.contrib.torch_utils
  import torch
  from torchrec import inference
  from torchrec.datasets.movielens import DEFAULT_RATINGS_COLUMN_NAMES
  from torchrec.distributed.embedding_types import EmbeddingComputeKernel
  from torchrec.distributed.model_parallel import DistributedModelParallel
  from torchrec.distributed.planner.types import ParameterConstraints
  from torchrec.distributed.types import ShardingEnv, ShardingType
  from torchrec.modules.embedding_configs import DataType, EmbeddingBagConfig
  from torchrec.modules.embedding_modules import EmbeddingBagCollection
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
label_desc: Use image node_id 1 for calling a global function with example usage: main(load_dir) without return types