updates.py 文件源码

def test_sa(self):
    self.precheck()

    train = nn.updates.sa(
      self.inputs, self.loss, self.params, outputs=[self.loss / 2],
      iters=2014, initial_temperature=2.0e-1, learning_rate=5.0e-1
    )

    ret = train(*self.get_inputs())

    assert len(ret) == 1, 'Optimization function should return output!'
    self.check('Simulated Annealing')