code: def reduction(
      size_hints,
      reduction_hint=False,
      triton_meta=None,
      filename=None,
      inductor_meta=None,
  ):
      """args to @triton.heuristics()"""
      inductor_meta = {} if inductor_meta is None else inductor_meta
      if inductor_meta.get("no_x_dim"):
          size_hints = [1, *size_hints[1:]]
  
      assert triton_meta is not None
      rnumel = size_hints[-1]
      if len(size_hints) == 2:
          contiguous_config = triton_config_reduction(
              size_hints, 1, (rnumel if 256 <= rnumel < 2048 else 2048)
          )
          outer_config = triton_config_reduction(size_hints, 64, 8)
          tiny_config = triton_config_reduction(
              size_hints,
              2 * (256 // rnumel) if rnumel <= 256 else 1,
              min(rnumel, 2048),
          )
          if config.max_autotune or config.max_autotune_pointwise:
              pass  # skip all these cases
          elif reduction_hint == ReductionHint.INNER:
              return cached_autotune(
                  size_hints,
                  [contiguous_config],
                  triton_meta=triton_meta,
                  inductor_meta=inductor_meta,
                  heuristic_type=HeuristicType.REDUCTION,
                  filename=filename,
              )
          elif reduction_hint == ReductionHint.OUTER:
              return cached_autotune(
                  size_hints,
                  [outer_config],
                  triton_meta=triton_meta,
                  inductor_meta=inductor_meta,
                  heuristic_type=HeuristicType.REDUCTION,
                  filename=filename,
              )
          elif reduction_hint == ReductionHint.OUTER_TINY:
              return cached_autotune(
                  size_hints,
                  [tiny_config],
                  triton_meta=triton_meta,
                  inductor_meta=inductor_meta,
                  heuristic_type=HeuristicType.REDUCTION,
                  filename=filename,
              )
          if disable_pointwise_autotuning():
              return cached_autotune(
                  size_hints,
                  [triton_config_reduction(size_hints, 32, 128)],
                  triton_meta=triton_meta,
                  inductor_meta=inductor_meta,
                  heuristic_type=HeuristicType.REDUCTION,
                  filename=filename,
              )
          return cached_autotune(
              size_hints,
              [
                  contiguous_config,
                  outer_config,
                  tiny_config,
                  triton_config_reduction(size_hints, 64, 64),
                  triton_config_reduction(size_hints, 8, 512),
                  # halve the XBLOCK/RBLOCK compared to outer_config
                  # TODO: this may only be beneficial when each iteration of the reduction
                  # is quite heavy. E.g. https://gist.github.com/shunting314/189a8ef69f90db9d614a823385147a72
                  triton_config_reduction(
                      size_hints, 64, 4, num_warps=8
                  ),
              ],
              triton_meta=triton_meta,
              inductor_meta=inductor_meta,
              filename=filename,
              heuristic_type=HeuristicType.REDUCTION,
          )
      raise NotImplementedError(f"size_hints: {size_hints}")
  
imports: import builtins
  import copy
  import functools
  import hashlib
  import inspect
  import json
  import logging
  import math
  import operator
  import os
  import os.path
  import re
  import threading
  from enum import auto, Enum
  from typing import Any, Callable, Dict, List, Optional, Set, Tuple
  import torch
  import torch.autograd.profiler
  from torch._dynamo.device_interface import get_interface_for_device
  from torch._dynamo.utils import dynamo_timed, get_first_attr
  from torch.utils._triton import has_triton_package
  from .None import config
  from .codecache import cache_dir, CudaKernelParamCache
  from .coordinate_descent_tuner import CoordescTuner
  from .ir import ReductionHint, TileHint
  from .utils import ceildiv, conditional_product, create_bandwidth_info_str, do_bench, get_num_bytes, next_power_of_2, triton_config_to_hashable
label_desc: Use image node_id 15 for calling a global function with example usage: reduction(size_hints, reduction_hint, triton_meta, filename, inductor_meta) and returns: cached_autotune, cached_autotune, cached_autotune, cached_autotune, cached_autotune