code: def build_efficientnet_backbone(inputs, backbone_name, imagenet):
      backbone = getattr(efficientnet, backbone_name)(
          include_top=False,
          input_tensor=inputs,
          weights="imagenet" if imagenet else None,
      )
      return [
          backbone.get_layer(slice_name).output
          for slice_name in [
              "block2a_expand_activation",
              "block3a_expand_activation",
              "block4a_expand_activation",
              "block5a_expand_activation",
          ]
      ]
  
imports: import typing
  import cv2
  import numpy
  import tensorflow
  import efficientnet.tfkeras
  from tensorflow import keras
  from .None import tools
label_desc: Use image node_id 10 for calling a global function with example usage: build_efficientnet_backbone(inputs, backbone_name, imagenet) and returns: unknown