text: from utils import data_generator
  
  from tcn import tcn
  
  
  def run_task(sequence_length=8):
      x_train, y_train = data_generator(batch_size=2048, sequence_length=sequence_length)
      print(x_train.shape)
      print(y_train.shape)
      model = tcn.compiled_tcn(return_sequences=False,
                               num_feat=1,
                               num_classes=10,
                               nb_filters=10,
                               kernel_size=10,
                               dilations=[1, 2, 4, 8, 16, 32],
                               nb_stacks=6,
                               max_len=x_train[0:1].shape[1],
                               activation='norm_relu',
                               use_skip_connections=False)
  
      print(f'x_train.shape = {x_train.shape}')
      print(f'y_train.shape = {y_train.shape}')
  
      # model.summary()
  
      model.fit(x_train, y_train, epochs=5)
      return model.evaluate(x_train, y_train)[1]
  
  
  def main():
      print('acc =', run_task(sequence_length=630))
  
  
  if __name__ == '__main__':
      main()
  