code: def run_bias_gelu_reference(activations, bias):
      # Expected behavior is that of casting to float32 internally and using the tanh approximation
      return version_appropriate_gelu(
          activations.to(torch.float32) + bias.to(torch.float32)
      ).to(activations.dtype)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/tests/unit/ops/transformer/inference/test_bias_gelu.py
imports: import pytest
  import torch
  import deepspeed
  from deepspeed.ops.op_builder import InferenceBuilder
label_desc: Use image node_id 3 for calling a global function with example usage: run_bias_gelu_reference(activations, bias) and returns: version_appropriate_gelu