本文整理汇总了Python中tensorflow.python.training.learning_rate_decay.polynomial_decay函数的典型用法代码示例。如果您正苦于以下问题：Python polynomial_decay函数的具体用法？Python polynomial_decay怎么用？Python polynomial_decay使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了polynomial_decay函数的9个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testBeyondEnd
def testBeyondEnd(self):
step = 15
lr = 0.05
end_lr = 0.001
decayed_lr = learning_rate_decay.polynomial_decay(lr, step, 10, end_lr)
expected = end_lr
self.assertAllClose(self.evaluate(decayed_lr), expected, 1e-6)示例2: testHalfWayWithEnd
def testHalfWayWithEnd(self):
step = 5
lr = 0.05
end_lr = 0.001
decayed_lr = learning_rate_decay.polynomial_decay(lr, step, 10, end_lr)
expected = (lr + end_lr) * 0.5
self.assertAllClose(self.evaluate(decayed_lr), expected, 1e-6)示例3: testEnd
def testEnd(self):
with self.test_session():
step = 10
lr = 0.05
end_lr = 0.001
decayed_lr = learning_rate_decay.polynomial_decay(lr, step, 10, end_lr)
expected = end_lr
self.assertAllClose(decayed_lr.eval(), expected, 1e-6)示例4: testHalfWay
def testHalfWay(self):
with self.test_session():
step = 5
lr = 0.05
end_lr = 0.0
decayed_lr = learning_rate_decay.polynomial_decay(lr, step, 10, end_lr)
expected = lr * 0.5
self.assertAllClose(decayed_lr.eval(), expected, 1e-6)示例5: testBeginWithCycle
def testBeginWithCycle(self):
lr = 0.001
decay_steps = 10
step = 0
decayed_lr = learning_rate_decay.polynomial_decay(
lr, step, decay_steps, cycle=True)
expected = lr
self.assertAllClose(self.evaluate(decayed_lr), expected, 1e-6)示例6: testBeyondEndWithCycle
def testBeyondEndWithCycle(self):
step = 15
lr = 0.05
end_lr = 0.001
decayed_lr = learning_rate_decay.polynomial_decay(
lr, step, 10, end_lr, cycle=True)
expected = (lr - end_lr) * 0.25 + end_lr
self.assertAllClose(self.evaluate(decayed_lr), expected, 1e-6)示例7: testHalfWay
def testHalfWay(self):
step = 5
lr = 0.05
end_lr = 0.0
power = 0.5
decayed_lr = learning_rate_decay.polynomial_decay(
lr, step, 10, end_lr, power=power)
expected = lr * 0.5**power
self.assertAllClose(self.evaluate(decayed_lr), expected, 1e-6)示例8: testBeyondEndWithCycle
def testBeyondEndWithCycle(self):
with self.test_session():
step = 15
lr = 0.05
end_lr = 0.001
power = 0.5
decayed_lr = learning_rate_decay.polynomial_decay(lr, step, 10, end_lr,
power=power, cycle=True)
expected = (lr - end_lr) * 0.25 ** power + end_lr
self.assertAllClose(decayed_lr.eval(), expected, 1e-6)示例9: testHalfWayWithEnd
def testHalfWayWithEnd(self):
with self.test_session():
step = 5
lr = 0.05
end_lr = 0.001
power = 0.5
decayed_lr = learning_rate_decay.polynomial_decay(lr, step, 10, end_lr,
power=power)
expected = (lr - end_lr) * 0.5 ** power + end_lr
self.assertAllClose(decayed_lr.eval(), expected, 1e-6)