code: def erf_gelu(x):
      return (
          x
          * 0.5
          * (
              torch.erf(x / 1.41421).to(dtype=x.dtype)
              + torch.ones_like(x).to(dtype=x.dtype)
          )
      )
  
file_path: megatron-lm/megatron/core/transformer/utils.py
imports: from operator import itemgetter
  from typing import Any, Dict, Iterable, Optional, Tuple, Union
  import torch
  from megatron.core import parallel_state
  from megatron.core.dist_checkpointing.mapping import ShardedObject, StateDict
  from megatron.core.utils import make_sharded_tensor_for_checkpoint, make_tp_sharded_tensor_for_checkpoint
label_desc: Use image node_id 5 for calling a global function with example usage: erf_gelu(x) and returns: unknown