code: def acc_offsets(self, i: int) -> List[int]:
      if self.upcasted == 0:
          return [0]
      upcasted_i = self.upcasted_axis(i)
      acc_strides = [
          x * (1 - upcasted_i[::-1][i][2])
          for i, x in enumerate(
              strides_for_shape(
                  tuple(1 if r else s for s, _, r in upcasted_i[::-1])
              )
          )
      ]
      return [
          sum(t)
          for t in itertools.product(
              *[
                  [y * acc_strides[i] for y in range(x[0])]
                  for i, x in enumerate(upcasted_i[::-1])
              ]
          )
      ]
  
imports: from __future__ import annotations
  import os, math, itertools
  from typing import NamedTuple, Optional, List, Tuple, cast, Dict, Union
  from tinygrad.ops import LazyOp, FlopCounter, get_lazyop_info, UnaryOps, BinaryOps, ReduceOps, MemBuffer, ConstBuffer, BufferOps
  from tinygrad.device import Device, Compiled
  from tinygrad.dtype import dtypes, ImageDType, DType
  from tinygrad.helpers import dedup, colored, ansilen, getenv, prod, DEBUG, round_up, all_int
  from tinygrad.shape.shapetracker import ShapeTracker, get_contraction
  from tinygrad.shape.symbolic import sint
  from tinygrad.shape.view import View, strides_for_shape
  from dataclasses import dataclass
  from enum import Enum, auto
label_desc: Use image node_id 7 for calling the Kernel obj's underlying member method code with example usage: obj.acc_offsets(i) and returns: unknown, list