class_docstr: First MLP projection weight container. This performs a straight pass-through to the
  model implementation for transformation.
class_docstr_tok: ["First","MLP","projection","weight","container",".","This","performs","a","straight","pass-through","to","the","model","implementation","for","transformation","."]
code: def finalize(self) -> torch.Tensor:
      # NOTE(cmikeh2): If we are gated but not in the format specified below, we should trigger a permutation here.
      # I am not currently aware of any models that use this format (or how we should even detect it; probably should
      # just be a different param entirely, but until then we'll just assume the format is correct).
      return self.inference_model.transform_mlp_1_param(self.params)
  
file_path: deepspeed/deepspeed/inference/v2/model_implementations/common_parameters/mlp_parameters.py
imports: import torch
  from ...model_implementations.parameter_base import ParameterBase
label_desc: Use image node_id 1 for calling the MLP1Parameter obj's underlying member method code with example usage: obj.finalize() and returns: self