code: def call(self, x, training=None):
      o = self.convolution1d(x)
      o = self.batch_normalization(o, training=training)
      o = self.activation(o)
      o = self.dropout(o, training=training)
      return o
  
imports: import tensorflow
  from tensorflow import keras
  from TTS.tts.tf.utils.tf_utils import shape_list
  from TTS.tts.tf.layers.common_layers import Prenet, Attention
label_desc: Use image node_id 2 for calling the ConvBNBlock obj's underlying member method code with example usage: obj.call(x, training) and returns: o