code: def version_appropriate_gelu(activations):
      global torch_minor_version
      if torch_minor_version is None:
          torch_minor_version = int(torch.__version__.split(".")[1])
      # If torch version = 1.12
      if torch_minor_version < 12:
          return torch.nn.functional.gelu(activations)
      else:
          return torch.nn.functional.gelu(
              activations, approximate="tanh"
          )
  
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 2 for calling a global function with example usage: version_appropriate_gelu(activations) and returns: torch, torch