code: def hard_sigmoid(x):
      return layers.ReLU(6.0)(x + 3.0) * (1.0 / 6.0)
  
file_path: keras/keras/applications/mobilenet_v3.py
imports: import warnings
  from keras import backend
  from keras import layers
  from keras.api_export import keras_export
  from keras.applications import imagenet_utils
  from keras.models import Functional
  from keras.ops import operation_utils
  from keras.utils import file_utils
label_desc: Use image node_id 5 for calling a global function with example usage: hard_sigmoid(x) and returns: unknown