code: def gelu_kernel(
      x_ptr, output_ptr, n_elements, BLOCK_SIZE: tl.constexpr
  ):
      pid = tl.program_id(axis=0)
      block_start = pid * BLOCK_SIZE
      offsets = block_start + tl.arange(0, BLOCK_SIZE)
      mask = offsets < n_elements
      x = tl.load(x_ptr + offsets, mask=mask)
      output = gelu_functor(x)
      tl.store(output_ptr + offsets, output, mask=mask)
  
imports: import torch
  import triton
  import triton.language
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 2 for calling a global function with example usage: gelu_kernel(x_ptr, output_ptr, n_elements, BLOCK_SIZE) without return types