code: def load_from_shared_memory(
      shared_memory_name: str,
  ) -> FusedCSCSamplingGraph:
      """Load a FusedCSCSamplingGraph object from shared memory.
  
      Parameters
      ----------
      shared_memory_name : str
          Name of the shared memory.
  
      Returns
      -------
      FusedCSCSamplingGraph
          The loaded FusedCSCSamplingGraph object on shared memory.
      """
      return FusedCSCSamplingGraph(
          torch.ops.graphbolt.load_from_shared_memory(
              shared_memory_name
          ),
      )
  
imports: from typing import Dict, Optional, Union
  import torch
  from dgl.utils import recursive_apply
  from ...base import EID, ETYPE, NID, NTYPE
  from ...convert import to_homogeneous
  from ...heterograph import DGLGraph
  from ..base import etype_str_to_tuple, etype_tuple_to_str, ORIGINAL_EDGE_ID
  from ..sampling_graph import SamplingGraph
  from .sampled_subgraph_impl import CSCFormatBase, SampledSubgraphImpl
label_desc: Use image node_id 2 for calling a global function with example usage: load_from_shared_memory(shared_memory_name) and returns: FusedCSCSamplingGraph