34 lines
787 B
Python
34 lines
787 B
Python
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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@project:
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@File : test1
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@Author : qiqq
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@create_time : 2022/11/4 21:22
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"""
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import torch
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from torch import nn
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from schedulers.polyscheduler import LinoPolyScheduler
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class ddd(nn.Module):
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def __init__(self):
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super(ddd, self).__init__()
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self.conv=nn.Conv2d(3,5,kernel_size=3)
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def forward(self,x):
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return self.conv(x)
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model= ddd()
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optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
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lisss=[1,2,3,5,4,78,7,8,]
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scheduler = LinoPolyScheduler(optimizer, min_lr=0.01, epochs=10)
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for epoch in range(10):
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lee =optimizer.param_groups[0]['lr']
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for i in lisss:
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optimizer.step()
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print("当前学习率：", lee)
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scheduler.step()
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