code: def get_shared_mem_array(name, shape, dtype):
      """Get a tensor from shared memory with specific name
  
      Parameters
      ----------
      name : str
          The unique name of the shared memory
      shape : tuple of int
          The shape of the returned tensor
      dtype : F.dtype
          The dtype of the returned tensor
  
      Returns
      -------
      F.tensor
          The tensor got from shared memory.
      """
      new_arr = empty_shared_mem(
          name, False, shape, F.reverse_data_type_dict[dtype]
      )
      dlpack = new_arr.to_dlpack()
      return F.zerocopy_from_dlpack(dlpack)
  
imports: from __future__ import absolute_import
  import ctypes
  import functools
  import operator
  import numpy
  from .None import backend
  from ._ffi.function import _init_api
  from ._ffi.ndarray import _set_class_ndarray, context, DGLContext, DGLDataType, empty, empty_shared_mem, from_dlpack, NDArrayBase, numpyasarray
  from ._ffi.object import ObjectBase, register_object
label_desc: Use image node_id 6 for calling a global function with example usage: get_shared_mem_array(name, shape, dtype) and returns: F