code: def deserialize_torch_Parameters(header, frames):
      t = deserialize(header["sub-header"], frames)
      return torch.nn.Parameter(
          data=t, requires_grad=header["requires_grad"]
      )
  
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 4 for calling a global function with example usage: deserialize_torch_Parameters(header, frames) and returns: torch