class_docstr: This container should be used when the experts are held in separate parameters
  and need to be joined into a single group.
code: def finalize(self) -> torch.Tensor:
      stacked_experts = torch.stack([p for p in self.experts], dim=0)
      return self.inference_model.transform_moe_mlp_2_param(
          stacked_experts
      )
  
file_path: deepspeed/deepspeed/inference/v2/model_implementations/common_parameters/moe_parameters.py
imports: import torch
  from ...model_implementations.parameter_base import ParameterBase, ParamList
label_desc: Use image node_id 1 for calling the UnfusedMoEMLP2Parameter obj's underlying member method code with example usage: obj.finalize() and returns: self