code: def tbe_fused_params(
      fused_params: Optional[Dict[str, Any]]
  ) -> Optional[Dict[str, Any]]:
      if not fused_params:
          return None
  
      fused_params_for_tbe = dict(fused_params)
      if FUSED_PARAM_REGISTER_TBE_BOOL in fused_params_for_tbe:
          fused_params_for_tbe.pop(FUSED_PARAM_REGISTER_TBE_BOOL)
      if (
          FUSED_PARAM_QUANT_STATE_DICT_SPLIT_SCALE_BIAS
          in fused_params_for_tbe
      ):
          fused_params_for_tbe.pop(
              FUSED_PARAM_QUANT_STATE_DICT_SPLIT_SCALE_BIAS
          )
  
      return fused_params_for_tbe
  
file_path: torchrec/torchrec/distributed/fused_params.py
imports: from typing import Any, Dict, Iterable, Optional
  import torch
  from fbgemm_gpu.split_table_batched_embeddings_ops_inference import IntNBitTableBatchedEmbeddingBagsCodegen
  from torchrec.distributed.embedding_types import GroupedEmbeddingConfig
label_desc: Use image node_id 4 for calling a global function with example usage: tbe_fused_params(fused_params) and returns: fused_params_for_tbe, None