code: def _get_depths(alpha: float) -> List[int]:
      """Scales tensor depths as in reference MobileNet code, prefers rounding up
      rather than down."""
      depths = [32, 16, 24, 40, 80, 96, 192, 320]
      return [
          _round_to_multiple_of(depth * alpha, 8) for depth in depths
      ]
  
imports: import warnings
  from functools import partial
  from typing import Any, Dict, List, Optional
  import torch
  import torch.nn
  from torch import Tensor
  from ..transforms._presets import ImageClassification
  from ..utils import _log_api_usage_once
  from ._api import register_model, Weights, WeightsEnum
  from ._meta import _IMAGENET_CATEGORIES
  from ._utils import _ovewrite_named_param, handle_legacy_interface
label_desc: Use image node_id 3 for calling a global function with example usage: _get_depths(alpha) and returns: unknown