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)

         