code: def cuda_dumps(x):
      type_name = typename(type(x))
      try:
          dumps = cuda_serialize.dispatch(type(x))
      except TypeError:
          raise NotImplementedError(type_name)
  
      sub_header, frames = dumps(x)
      header = {
          "sub-header": sub_header,
          "type-serialized": pickle.dumps(type(x)),
          "serializer": "cuda",
          "compression": (False,)
          * len(frames),  # no compression for gpu data
      }
      return header, frames
  
imports: from __future__ import annotations
  import dask
  from dask.utils import typename
  from distributed.protocol import pickle
  from distributed.protocol.serialize import ObjectDictSerializer, register_serialization_family
label_desc: Use image node_id 1 for calling a global function with example usage: cuda_dumps(x) and returns: header,  frames