1. 模块列表
  2. 函数列表
  3. chainer.optimizers.NesterovAG()

Python chainer.optimizers 模块，NesterovAG() 实例源码

我们从Python开源项目中，提取了以下23个代码示例，用于说明如何使用chainer.optimizers.NesterovAG()。

项目：chainer-speech-recognition    作者：musyoku    | 项目源码 | 文件源码 
def decay_learning_rate(opt, factor, final_value):
    if isinstance(opt, optimizers.NesterovAG):
        if opt.lr <= final_value:
            return final_value
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.SGD):
        if opt.lr <= final_value:
            return final_value
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.MomentumSGD):
        if opt.lr <= final_value:
            return final_value
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.Adam):
        if opt.alpha <= final_value:
            return final_value
        opt.alpha *= factor
        return
    raise NotImplementedError()
项目：chainer-qrnn    作者：musyoku    | 项目源码 | 文件源码 
def decay_learning_rate(opt, factor, final_value):
    if isinstance(opt, optimizers.NesterovAG):
        if opt.lr <= final_value:
            return final_value
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.SGD):
        if opt.lr <= final_value:
            return final_value
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.MomentumSGD):
        if opt.lr <= final_value:
            return final_value
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.Adam):
        if opt.alpha <= final_value:
            return final_value
        opt.alpha *= factor
        return
    raise NotImplementedError()
项目：ddnn    作者：kunglab    | 项目源码 | 文件源码 
def get_optimizer(self, name, lr, momentum=0.9):
        if name.lower() == "adam":
            return optimizers.Adam(alpha=lr, beta1=momentum)
        if name.lower() == "smorms3":
            return optimizers.SMORMS3(lr=lr)
        if name.lower() == "adagrad":
            return optimizers.AdaGrad(lr=lr)
        if name.lower() == "adadelta":
            return optimizers.AdaDelta(rho=momentum)
        if name.lower() == "nesterov" or name.lower() == "nesterovag":
            return optimizers.NesterovAG(lr=lr, momentum=momentum)
        if name.lower() == "rmsprop":
            return optimizers.RMSprop(lr=lr, alpha=momentum)
        if name.lower() == "momentumsgd":
            return optimizers.MomentumSGD(lr=lr, mommentum=mommentum)
        if name.lower() == "sgd":
            return optimizers.SGD(lr=lr)
项目：adversarial-autoencoder    作者：musyoku    | 项目源码 | 文件源码 
def decrease_learning_rate(opt, factor, final_value):
    if isinstance(opt, optimizers.NesterovAG):
        if opt.lr <= final_value:
            return final_value
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.SGD):
        if opt.lr <= final_value:
            return final_value
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.MomentumSGD):
        if opt.lr <= final_value:
            return final_value
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.Adam):
        if opt.alpha <= final_value:
            return final_value
        opt.alpha *= factor
        return
    raise NotImplementedError()
项目：chainer-glu    作者：musyoku    | 项目源码 | 文件源码 
def decay_learning_rate(opt, factor, final_value):
    if isinstance(opt, optimizers.NesterovAG):
        if opt.lr <= final_value:
            return
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.SGD):
        if opt.lr <= final_value:
            return
        opt.lr *= factor
        return
    if isinstance(opt, optimizers.Adam):
        if opt.alpha <= final_value:
            return
        opt.alpha *= factor
        return
    raise NotImplementationError()
项目：unrolled-gan    作者：musyoku    | 项目源码 | 文件源码 
def get_optimizer(name, lr, momentum=0.9):
    if name.lower() == "adam":
        return optimizers.Adam(alpha=lr, beta1=momentum)
    if name.lower() == "eve":
        return Eve(alpha=lr, beta1=momentum)
    if name.lower() == "adagrad":
        return optimizers.AdaGrad(lr=lr)
    if name.lower() == "adadelta":
        return optimizers.AdaDelta(rho=momentum)
    if name.lower() == "nesterov" or name.lower() == "nesterovag":
        return optimizers.NesterovAG(lr=lr, momentum=momentum)
    if name.lower() == "rmsprop":
        return optimizers.RMSprop(lr=lr, alpha=momentum)
    if name.lower() == "momentumsgd":
        return optimizers.MomentumSGD(lr=lr, mommentum=mommentum)
    if name.lower() == "sgd":
        return optimizers.SGD(lr=lr)
项目：unrolled-gan    作者：musyoku    | 项目源码 | 文件源码 
def update_momentum(self, momentum):
        if isinstance(self.optimizer, optimizers.Adam):
            self.optimizer.beta1 = momentum
            return
        if isinstance(self.optimizer, Eve):
            self.optimizer.beta1 = momentum
            return
        if isinstance(self.optimizer, optimizers.AdaDelta):
            self.optimizer.rho = momentum
            return
        if isinstance(self.optimizer, optimizers.NesterovAG):
            self.optimizer.momentum = momentum
            return
        if isinstance(self.optimizer, optimizers.RMSprop):
            self.optimizer.alpha = momentum
            return
        if isinstance(self.optimizer, optimizers.MomentumSGD):
            self.optimizer.mommentum = momentum
            return
项目：wavenet    作者：musyoku    | 项目源码 | 文件源码 
def get_optimizer(name, lr, momentum=0.9):
    if name.lower() == "adam":
        return chainer.optimizers.Adam(alpha=lr, beta1=momentum)
    if name.lower() == "eve":
        return Eve(alpha=lr, beta1=momentum)
    if name.lower() == "adagrad":
        return chainer.optimizers.AdaGrad(lr=lr)
    if name.lower() == "adadelta":
        return chainer.optimizers.AdaDelta(rho=momentum)
    if name.lower() == "nesterov" or name.lower() == "nesterovag":
        return chainer.optimizers.NesterovAG(lr=lr, momentum=momentum)
    if name.lower() == "rmsprop":
        return chainer.optimizers.RMSprop(lr=lr, alpha=momentum)
    if name.lower() == "momentumsgd":
        return chainer.optimizers.MomentumSGD(lr=lr, mommentum=mommentum)
    if name.lower() == "sgd":
        return chainer.optimizers.SGD(lr=lr)
    raise Exception()
项目：wavenet    作者：musyoku    | 项目源码 | 文件源码 
def update_momentum(self, momentum):
        if isinstance(self.optimizer, optimizers.Adam):
            self.optimizer.beta1 = momentum
            return
        if isinstance(self.optimizer, Eve):
            self.optimizer.beta1 = momentum
            return
        if isinstance(self.optimizer, optimizers.AdaDelta):
            self.optimizer.rho = momentum
            return
        if isinstance(self.optimizer, optimizers.NesterovAG):
            self.optimizer.momentum = momentum
            return
        if isinstance(self.optimizer, optimizers.RMSprop):
            self.optimizer.alpha = momentum
            return
        if isinstance(self.optimizer, optimizers.MomentumSGD):
            self.optimizer.mommentum = momentum
            return
项目：LSGAN    作者：musyoku    | 项目源码 | 文件源码 
def update_momentum(self, momentum):
        if isinstance(self._optimizer, optimizers.Adam):
            self._optimizer.beta1 = momentum
            return
        if isinstance(self._optimizer, Eve):
            self._optimizer.beta1 = momentum
            return
        if isinstance(self._optimizer, optimizers.AdaDelta):
            self._optimizer.rho = momentum
            return
        if isinstance(self._optimizer, optimizers.NesterovAG):
            self._optimizer.momentum = momentum
            return
        if isinstance(self._optimizer, optimizers.RMSprop):
            self._optimizer.alpha = momentum
            return
        if isinstance(self._optimizer, optimizers.MomentumSGD):
            self._optimizer.mommentum = momentum
            return
项目：adgm    作者：musyoku    | 项目源码 | 文件源码 
def get_optimizer(name, lr, momentum=0.9):
    if name.lower() == "adam":
        return optimizers.Adam(alpha=lr, beta1=momentum)
    if name.lower() == "eve":
        return Eve(alpha=lr, beta1=momentum)
    if name.lower() == "adagrad":
        return optimizers.AdaGrad(lr=lr)
    if name.lower() == "adadelta":
        return optimizers.AdaDelta(rho=momentum)
    if name.lower() == "nesterov" or name.lower() == "nesterovag":
        return optimizers.NesterovAG(lr=lr, momentum=momentum)
    if name.lower() == "rmsprop":
        return optimizers.RMSprop(lr=lr, alpha=momentum)
    if name.lower() == "momentumsgd":
        return optimizers.MomentumSGD(lr=lr, mommentum=mommentum)
    if name.lower() == "sgd":
        return optimizers.SGD(lr=lr)
项目：chainer-speech-recognition    作者：musyoku    | 项目源码 | 文件源码 
def get_learning_rate(opt):
    if isinstance(opt, optimizers.NesterovAG):
        return opt.lr
    if isinstance(opt, optimizers.MomentumSGD):
        return opt.lr
    if isinstance(opt, optimizers.SGD):
        return opt.lr
    if isinstance(opt, optimizers.Adam):
        return opt.alpha
    raise NotImplementedError()
项目：chainer-speech-recognition    作者：musyoku    | 项目源码 | 文件源码 
def set_learning_rate(opt, lr):
    if isinstance(opt, optimizers.NesterovAG):
        opt.lr = lr
        return
    if isinstance(opt, optimizers.MomentumSGD):
        opt.lr = lr
        return
    if isinstance(opt, optimizers.SGD):
        opt.lr = lr
        return
    if isinstance(opt, optimizers.Adam):
        opt.alpha = lr
        return
    raise NotImplementedError()
项目：chainer-speech-recognition    作者：musyoku    | 项目源码 | 文件源码 
def set_momentum(opt, momentum):
    if isinstance(opt, optimizers.NesterovAG):
        opt.momentum = momentum
        return
    if isinstance(opt, optimizers.MomentumSGD):
        opt.momentum = momentum
        return
    if isinstance(opt, optimizers.SGD):
        return
    if isinstance(opt, optimizers.Adam):
        opt.beta1 = momentum
        return
    raise NotImplementedError()
项目：chainer-speech-recognition    作者：musyoku    | 项目源码 | 文件源码 
def get_optimizer(name, lr, momentum):
    if name == "sgd":
        return optimizers.SGD(lr=lr)
    if name == "msgd":
        return optimizers.MomentumSGD(lr=lr, momentum=momentum)
    if name == "nesterov":
        return optimizers.NesterovAG(lr=lr, momentum=momentum)
    if name == "adam":
        return optimizers.Adam(alpha=lr, beta1=momentum)
    raise NotImplementedError()
项目：chainer-qrnn    作者：musyoku    | 项目源码 | 文件源码 
def get_current_learning_rate(opt):
    if isinstance(opt, optimizers.NesterovAG):
        return opt.lr
    if isinstance(opt, optimizers.MomentumSGD):
        return opt.lr
    if isinstance(opt, optimizers.SGD):
        return opt.lr
    if isinstance(opt, optimizers.Adam):
        return opt.alpha
    raise NotImplementedError()
项目：chainer-qrnn    作者：musyoku    | 项目源码 | 文件源码 
def get_optimizer(name, lr, momentum):
    if name == "sgd":
        return optimizers.SGD(lr=lr)
    if name == "msgd":
        return optimizers.MomentumSGD(lr=lr, momentum=momentum)
    if name == "nesterov":
        return optimizers.NesterovAG(lr=lr, momentum=momentum)
    if name == "adam":
        return optimizers.Adam(alpha=lr, beta1=momentum)
    raise NotImplementedError()
项目：chainer-deconv    作者：germanRos    | 项目源码 | 文件源码 
def create(self):
        return optimizers.NesterovAG(0.1)
项目：adversarial-autoencoder    作者：musyoku    | 项目源码 | 文件源码 
def get_current_learning_rate(opt):
    if isinstance(opt, optimizers.NesterovAG):
        return opt.lr
    if isinstance(opt, optimizers.MomentumSGD):
        return opt.lr
    if isinstance(opt, optimizers.SGD):
        return opt.lr
    if isinstance(opt, optimizers.Adam):
        return opt.alpha
    raise NotImplementedError()
项目：adversarial-autoencoder    作者：musyoku    | 项目源码 | 文件源码 
def set_learning_rate(opt, lr):
    if isinstance(opt, optimizers.NesterovAG):
        opt.lr = lr
        return
    if isinstance(opt, optimizers.MomentumSGD):
        opt.lr = lr
        return
    if isinstance(opt, optimizers.SGD):
        opt.lr = lr
        return
    if isinstance(opt, optimizers.Adam):
        opt.alpha = lr
        return
    raise NotImplementedError()
项目：adversarial-autoencoder    作者：musyoku    | 项目源码 | 文件源码 
def get_optimizer(name, lr, momentum):
    name = name.lower()
    if name == "sgd":
        return optimizers.SGD(lr=lr)
    if name == "msgd":
        return optimizers.MomentumSGD(lr=lr, momentum=momentum)
    if name == "nesterov":
        return optimizers.NesterovAG(lr=lr, momentum=momentum)
    if name == "adam":
        return optimizers.Adam(alpha=lr, beta1=momentum)
    raise NotImplementedError()
项目：chainer-glu    作者：musyoku    | 项目源码 | 文件源码 
def get_current_learning_rate(opt):
    if isinstance(opt, optimizers.NesterovAG):
        return opt.lr
    if isinstance(opt, optimizers.Adam):
        return opt.alpha
    if isinstance(opt, optimizers.SGD):
        return opt.lr
    raise NotImplementationError()
项目：chainer-glu    作者：musyoku    | 项目源码 | 文件源码 
def get_optimizer(name, lr, momentum):
    if name == "nesterov":
        return optimizers.NesterovAG(lr=lr, momentum=momentum)
    if name == "adam":
        return optimizers.Adam(alpha=lr, beta1=momentum)
    if name == "sgd":
        return optimizers.SGD(lr=lr)
    raise NotImplementationError()