code: def execute(
      self,
      input_size: int,
      n_layers: int,
      hidden_size: int,
      optimizer_name: str,
      optimizer_params: dict,
      loss_fn_name: str,
      output_size: int = None,
  ):
      raise NotImplementedError
  
imports: from abc import ABC, abstractmethod
  import torch
  from nebullvm.operations.base import Operation
  from forward_forward.utils.modules import FCNetFFProgressive, RecurrentFCNetFF, LMFFNet
label_desc: Use image node_id 2 for calling the BaseModelBuildOperation obj's underlying member method code with example usage: obj.execute(input_size, n_layers, hidden_size, optimizer_name, optimizer_params, loss_fn_name, output_size) without return types