亲宝软件园·资讯

展开

pytorch nn.Dropout用法 pytorch 中nn.Dropout的使用教程

qq_38603174 人气:0
想了解pytorch 中nn.Dropout的使用教程的相关内容吗,qq_38603174在本文为您仔细讲解pytorch nn.Dropout用法的相关知识和一些Code实例,欢迎阅读和指正,我们先划重点:pytorch,nn.Dropout用法,下面大家一起来学习吧。

看代码吧~

Class USeDropout(nn.Module):
 
    def __init__(self): 
        super(DropoutFC, self).__init__() 
        self.fc = nn.Linear(100,20) 
        self.dropout = nn.Dropout(p=0.5)  
    def forward(self, input): 
        out = self.fc(input) 
        out = self.dropout(out) 
        return out 
Net = USeDropout() 
Net.train()

示例代码如上,直接调用nn.Dropout即可,但是注意在调用时要将模型参数传入。

补充:Pytorch的nn.Dropout运行稳定性测试

结论:

Pytorch的nn.Dropout在每次被调用时dropout掉的参数都不一样,即使是同一次forward也不同。

如果模型里多次使用的dropout的dropout rate大小相同,用同一个dropout层即可。

如代码所示:

import torch
import torch.nn as nn
class MyModel(nn.Module):
    def __init__(self):
        super(MyModel, self).__init__()
        self.dropout_1 = nn.Dropout(0.5)
        self.dropout_2 = nn.Dropout(0.5)
    def forward(self, input):
        # print(input)
        drop_1 = self.dropout_1(input)
        print(drop_1)
        drop_1 = self.dropout_1(input)
        print(drop_1)
        drop_2 = self.dropout_2(input)
        print(drop_2)
if __name__ == '__main__':
    i = torch.rand((5, 5))
    m = MyModel()
    m.forward(i)

结果如下:

*\python.exe */model.py
tensor([[0.0000, 0.0914, 0.0000, 1.4095, 0.0000],
[0.0000, 0.0000, 0.1726, 1.3800, 0.0000],
[1.7651, 0.0000, 0.0000, 0.9421, 1.5603],
[1.0510, 1.7290, 0.0000, 0.0000, 0.8565],
[0.0000, 0.0000, 0.0000, 0.0000, 0.0000]])
tensor([[0.0000, 0.0000, 0.4722, 1.4095, 0.0000],
[0.0416, 0.0000, 0.1726, 1.3800, 1.3193],
[0.0000, 0.3401, 0.6550, 0.0000, 0.0000],
[1.0510, 1.7290, 1.5515, 0.0000, 0.0000],
[0.6388, 0.0000, 0.0000, 1.0122, 0.0000]])
tensor([[0.0000, 0.0000, 0.4722, 0.0000, 1.2689],
[0.0416, 0.0000, 0.0000, 1.3800, 0.0000],
[0.0000, 0.0000, 0.6550, 0.0000, 1.5603],
[0.0000, 0.0000, 1.5515, 1.4596, 0.0000],
[0.0000, 0.0000, 0.0000, 0.0000, 0.0000]])

Process finished with exit code 0

以上为个人经验,希望能给大家一个参考,也希望大家多多支持。

加载全部内容

相关教程
猜你喜欢
用户评论