code: def ds_implementation(vals, gamma, beta, epsilon):
      global inference_module
      if inference_module is None:
          inference_module = InferenceBuilder().load()
      return inference_module.layer_norm(vals, gamma, beta, epsilon)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/tests/unit/ops/transformer/inference/test_layer_norm.py
imports: import deepspeed
  import torch
  import pytest
  from deepspeed.ops.op_builder import InferenceBuilder
label_desc: Use image node_id 3 for calling a global function with example usage: ds_implementation(vals, gamma, beta, epsilon) and returns: inference_module