code: def _initialize_read(self):
      from cudf.core.buffer import Buffer
      from cupy.cuda.memory import UnownedMemory
  
      self._offset = 0
      self._has_read_headers = False
      self._buffers = []
      (metas, serialized), buffers = _id_to_buffers[self._object_id]
      self._headers = headers = (metas.copy(), serialized)
      buffer_types = []
      for buf in buffers:
          if isinstance(buf, cupy.ndarray):
              ptr, size = buf.data.ptr, buf.size
              self._buffers.append(
                  UnownedMemory(ptr, size, Buffer(ptr, size=size))
              )
              buffer_types.append(["cuda", size])
          elif isinstance(buf, Buffer):
              ptr, size = buf.ptr, buf.size
              if size == 0:
                  # empty buffer cannot construct a UnownedMemory
                  self._buffers.append(None)
              else:
                  self._buffers.append(
                      UnownedMemory(ptr, size, Buffer(ptr, size))
                  )
              buffer_types.append(["cuda", size])
          else:
              size = getattr(buf, "size", len(buf))
              self._buffers.append(buf)
              buffer_types.append(["memory", size])
      headers[0]["buffer_types"] = buffer_types
  
imports: import ctypes
  import pickle
  import uuid
  from io import BytesIO
  from typing import Tuple, Dict, List, Union
  from ..serialization import serialize, deserialize
  from ..utils import lazy_import, implements
  from .base import StorageBackend, StorageLevel, ObjectInfo, register_storage_backend
  from .core import StorageFileObject
  import numpy
  import pandas
label_desc: Use image node_id 4 for calling the CudaFileObject obj's underlying member method code with example usage: obj._initialize_read() without return types