code: def transform_param(self, param: torch.Tensor) -> InferenceParameter:
      param = param.to(self._config.input_dtype)
      return InferenceParameter.initialize(param)
  
file_path: DeepSpeed/deepspeed/inference/v2/modules/implementations/pre_norm/cuda_pre_rms.py
imports: from typing import Any, Dict, Optional, Tuple
  import torch
  from deepspeed.accelerator import get_accelerator
  from ...interfaces import DSPreNormBase, DSPreNormRegistry
  from ...configs import DSNormConfig, NormTypeEnum
  from ....kernels.core_ops import CUDARMSNorm, CUDARMSPreNorm
  from ....allocator import empty_from
  from ....inference_parameter import InferenceParameter
label_desc: Use image node_id 4 for calling the DSPreRMSCUDAModule obj's underlying member method code with example usage: obj.transform_param(param) and returns: InferenceParameter