code: def call(self, inputs, training=None):
      x = self.conv_head(inputs)
      x = self.norm(x)
      x = self.act(x)
      x = self.avg(x)
  
      if self.dropout:
          x = self.dropout(x, training=training)
  
      x = self.fc(x)
      return x
  
imports: import itertools
  import tensorflow
  from tensorflow.keras import layers, Model, Input
label_desc: Use image node_id 2 for calling the Head obj's underlying member method code with example usage: obj.call(inputs, training) and returns: x