code: def filter_state_dict(
      state_dict: "OrderedDict[str, torch.Tensor]", name: str
  ) -> "OrderedDict[str, torch.Tensor]":
      """
      Filters state dict for keys that start with provided name.
      Strips provided name from beginning of key in the resulting state dict.
  
      Args:
          state_dict (OrderedDict[str, torch.Tensor]): input state dict to filter.
          name (str): name to filter from state dict keys.
  
      Returns:
          OrderedDict[str, torch.Tensor]: filtered state dict.
      """
  
      filtered_state_dict = OrderedDict()
      for key, value in state_dict.items():
          if key.startswith(name + "."):
              # + 1 to length is to remove the '.' after the key
              filtered_state_dict[key[len(name) + 1 :]] = value
      return filtered_state_dict
  
imports: import copy
  import logging
  from collections import OrderedDict
  from itertools import accumulate
  from typing import Any, Dict, List, Optional, Set, Type, TypeVar, Union
  import torch
  from fbgemm_gpu.split_embedding_configs import EmbOptimType
  from torch import nn
  from torchrec import optim
  from torchrec.distributed.embedding_types import EmbeddingComputeKernel
  from torchrec.distributed.types import DataType, ParameterSharding, ShardedModule, ShardingType
  from torchrec.modules.embedding_configs import data_type_to_sparse_type
  from torchrec.types import CopyMixIn
label_desc: Use image node_id 3 for calling a global function with example usage: filter_state_dict(state_dict, name) and returns: filtered_state_dict