code: def serialize_torch_Parameters(p):
      sub_header, frames = serialize(p.detach())
      header = {"sub-header": sub_header}
      header["requires_grad"] = p.requires_grad
      return header, frames
  
imports: from __future__ import annotations
  import torch
  from distributed.protocol.serialize import dask_deserialize, dask_serialize, deserialize, register_generic, serialize
label_desc: Use image node_id 3 for calling a global function with example usage: serialize_torch_Parameters(p) and returns: header,  frames