code: def build_sep_conv(filters, kernel_size, name=None):
      return Sequential(
          [
              ReLU(),
              SeparableConv2D(filters, kernel_size, padding="same"),
              BatchNormalization(trainable=True),
          ],
          name,
      )
  
imports: import tensorflow
  from tensorflow.keras import Model, Sequential
  from tensorflow.keras.layers import AveragePooling2D, BatchNormalization, Conv2D, Dense, Dropout, GlobalAveragePooling2D, MaxPool2D, ReLU, SeparableConv2D
  from nni.nas.tensorflow.mutables import InputChoice, LayerChoice, MutableScope
label_desc: Use image node_id 2 for calling a global function with example usage: build_sep_conv(filters, kernel_size, name) and returns: Sequential