code: def _add(
      x_ptr, y_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)
      y = tl.load(y_ptr + offsets, mask=mask)
      output = x + y
      tl.store(output_ptr + offsets, output, mask=mask)
  
file_path: triton/python/test/regression/test_performance.py
imports: import pytest
  import torch
  import triton
  import triton.language
  import triton.ops
  from triton.testing import get_dram_gbps, get_max_tensorcore_tflops, nvsmi
label_desc: Use image node_id 3 for calling a global function with example usage: _add(x_ptr, y_ptr, output_ptr, n_elements, BLOCK_SIZE) without return types