class_docstr: Wrap the original efficientnet to an encoder for flexible-unet.
class_docstr_tok: ["Wrap","the","original","efficientnet","to","an","encoder","for","flexible-unet","."]
docstr: Get names of efficient backbone.
docstr_tok: ["Get","names","of","efficient","backbone","."]
code: def get_encoder_names(cls) -> list[str]:
      """
      Get names of efficient backbone.
      """
      return cls.backbone_names
  
imports: from __future__ import annotations
  import math
  import operator
  import re
  from functools import reduce
  from typing import NamedTuple
  import torch
  from torch import nn
  from torch.utils import model_zoo
  from monai.networks.blocks import BaseEncoder
  from monai.networks.layers.factories import Act, Conv, Pad, Pool
  from monai.networks.layers.utils import get_norm_layer
  from monai.utils.module import look_up_option
label_desc: Use image node_id 4 for calling the EfficientNetEncoder obj's underlying member method code with example usage: obj.get_encoder_names(cls) and returns: cls