code: def call(self, inputs, training=False):
      x = self.conv(inputs)
      x = self.bn(x, training=training)
      x = self.activation(x)
      return x
  
file_path: deep-learning-for-image-processing/tensorflow_classification/Test6_mobilenet/model_v2.py
imports: from tensorflow.keras import layers, Model, Sequential
label_desc: Use image node_id 2 for calling the ConvBNReLU obj's underlying member method code with example usage: obj.call(inputs, training) and returns: x