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 paddle.fluid / layers / noam_decay


noam_decay

paddle.fluid.layers. noam_decay ( d_model, warmup_steps ) [源代码]

Noam衰减方法

noam衰减的numpy实现如下:

import paddle.fluid as fluid
import numpy as np
# 设置超参数
base_lr = 0.01
d_model = 2
current_steps = 20
warmup_steps = 200
# 计算
lr_value = base_lr * np.power(d_model, -0.5) * np.min([
                       np.power(current_steps, -0.5),
                       np.power(warmup_steps, -1.5) * current_steps])

请参照 attention is all you need

参数:
  • d_model (Variable|int) - 模型的输入、输出向量特征维度。类型可设置为标量Tensor,或int值。

  • warmup_steps (Variable|int) - 预热步数,类型可设置为标量Tensor,或int值。

  • learning_rate (Variable|float|int,可选) - 初始学习率。如果类型为Variable,则为shape为[1]的Tensor,数据类型为float32或float64;也可以是python的int类型。默认值为1.0。

返回:衰减的学习率

返回类型: Variable

代码示例

import paddle.fluid as fluid
warmup_steps = 100
learning_rate = 0.01
lr = fluid.layers.learning_rate_scheduler.noam_decay(
               1/(warmup_steps *(learning_rate ** 2)),
               warmup_steps,
               learning_rate)

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