code: def test_kwargs():
      N = 1024
      src = torch.empty(N, device="cuda")
      dst = torch.empty(N, device="cuda")
  
      configs = [
          triton.Config(kwargs={"BLOCK_SIZE": 32}),
          triton.Config(kwargs={"BLOCK_SIZE": 128}),
      ]
  
      @triton.autotune(configs=configs, key=["N"], warmup=1, rep=1)
      @triton.jit
      def _kernel(dst, src, N, BLOCK_SIZE: tl.constexpr):
          offsets = tl.program_id(0) * BLOCK_SIZE + tl.arange(
              0, BLOCK_SIZE
          )
          x = tl.load(src + offsets, mask=offsets < N)
          tl.store(dst + offsets, x, mask=offsets < N)
  
      grid = lambda META: (triton.cdiv(N, META["BLOCK_SIZE"]),)
      _kernel[grid](dst, src, N)
      _kernel[grid](dst=dst, src=src, N=N)
  
imports: import torch
  import triton
  import triton.language
  import pytest
label_desc: Use image node_id 1 for calling a global function with example usage: test_kwargs() without return types