PrivacyScanData/truncate/new2/wide_networks_using_binary_tree-master/nutszebra_optimizer.py

import chainer
from chainer import optimizers
import nutszebra_basic_print


class Optimizer(object):

    def __init__(self, model=None):
        self.model = model
        self.optimizer = None

    def __call__(self, i):
        pass

    def update(self):
        self.optimizer.update()


class OptimizerWideResBinaryTree(Optimizer):

    def __init__(self, model=None, schedule=(60, 120, 160), lr=0.1, momentum=0.9, weight_decay=5.0e-4):
        super(OptimizerWideResBinaryTree, self).__init__(model)
        optimizer = optimizers.MomentumSGD(lr, momentum)
        weight_decay = chainer.optimizer.WeightDecay(weight_decay)
        optimizer.setup(self.model)
        optimizer.add_hook(weight_decay)
        self.optimizer = optimizer
        self.schedule = schedule
        self.lr = lr
        self.momentum = momentum
        self.weight_decay = weight_decay

    def __call__(self, i):
        if i in self.schedule:
            lr = self.optimizer.lr * 0.2
            print('lr is changed: {} -> {}'.format(self.optimizer.lr, lr))
            self.optimizer.lr = lr