code: def get_float4_upcast_dim(self, i: int) -> List[int]:
      should_upcast = self.opts.supports_float4 and (
          self.bufs[i].dtype in (dtypes.float, dtypes.half)
          or isinstance(self.bufs[i].dtype, ImageDType)
      )
      return (
          [
              x
              for x in self.sts[i].unit_stride_axes()
              if x >= self.shape_len - self.upcasted
              and self.sts[i].shape[x] > 1
          ]
          if should_upcast
          else []
      )
  
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 8 for calling the Kernel obj's underlying member method code with example usage: obj.get_float4_upcast_dim(i) and returns: unknown