code: def transform_moe_mlp_1_param(
      self, param: torch.Tensor
  ) -> torch.Tensor:
      return InferenceParameter.initialize(param)
  
imports: import pytest
  import torch
  from deepspeed.inference.v2.allocator import on_device
  from deepspeed.inference.v2.inference_parameter import InferenceParameter
  from deepspeed.inference.v2.model_implementations.parameter_base import ParameterBase, ParamList
  from deepspeed.inference.v2.model_implementations.layer_container_base import LayerContainer
  from deepspeed.inference.v2.model_implementations.common_parameters import *
  from .utils import validate_device
label_desc: Use image node_id 3 for calling the DummyInferenceModel obj's underlying member method code with example usage: obj.transform_moe_mlp_1_param(param) and returns: InferenceParameter