给出googlenet的pytorch代码
时间: 2023-06-30 07:14:05 浏览: 54
下面是一个简单的GoogLeNet的PyTorch代码示例:
```
import torch.nn as nn
import torch.nn.functional as F
class Inception(nn.Module):
def __init__(self, in_channels):
super(Inception, self).__init__()
self.conv1 = nn.Conv2d(in_channels, 64, kernel_size=1)
self.conv2_1 = nn.Conv2d(in_channels, 96, kernel_size=1)
self.conv2_2 = nn.Conv2d(96, 128, kernel_size=3, padding=1)
self.conv3_1 = nn.Conv2d(in_channels, 16, kernel_size=1)
self.conv3_2 = nn.Conv2d(16, 32, kernel_size=5, padding=2)
self.conv4_1 = nn.Conv2d(in_channels, 32, kernel_size=1)
self.conv4_2 = nn.Conv2d(32, 64, kernel_size=3, padding=1)
self.pool = nn.MaxPool2d(kernel_size=3, stride=1, padding=1)
def forward(self, x):
out1 = F.relu(self.conv1(x))
out2 = F.relu(self.conv2_1(x))
out2 = F.relu(self.conv2_2(out2))
out3 = F.relu(self.conv3_1(x))
out3 = F.relu(self.conv3_2(out3))
out4 = F.relu(self.conv4_1(x))
out4 = F.relu(self.conv4_2(out4))
out5 = self.pool(x)
out5 = F.relu(self.conv1(out5))
out = torch.cat([out1, out2, out3, out4, out5], dim=1)
return out
class GoogLeNet(nn.Module):
def __init__(self):
super(GoogLeNet, self).__init__()
self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3)
self.pool1 = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
self.conv2_1 = nn.Conv2d(64, 64, kernel_size=1)
self.conv2_2 = nn.Conv2d(64, 192, kernel_size=3, padding=1)
self.pool2 = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
self.inception3a = Inception(192)
self.inception3b = Inception(256)
self.pool3 = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
self.inception4a = Inception(480)
self.inception4b = Inception(512)
self.inception4c = Inception(512)
self.inception4d = Inception(512)
self.inception4e = Inception(528)
self.pool4 = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
self.inception5a = Inception(832)
self.inception5b = Inception(832)
self.avgpool = nn.AdaptiveAvgPool2d((1, 1))
self.dropout = nn.Dropout(p=0.4)
self.fc = nn.Linear(1024, 1000)
def forward(self, x):
out = F.relu(self.conv1(x))
out = self.pool1(out)
out = F.relu(self.conv2_1(out))
out = F.relu(self.conv2_2(out))
out = self.pool2(out)
out = self.inception3a(out)
out = self.inception3b(out)
out = self.pool3(out)
out = self.inception4a(out)
out = self.inception4b(out)
out = self.inception4c(out)
out = self.inception4d(out)
out = self.inception4e(out)
out = self.pool4(out)
out = self.inception5a(out)
out = self.inception5b(out)
out = self.avgpool(out)
out = self.dropout(out)
out = out.view(-1, 1024)
out = self.fc(out)
return out
```
这个代码定义了Inception和GoogLeNet两个类。Inception类是GoogLeNet的一个组件,它实现了Inception模块。GoogLeNet类是整个GoogLeNet网络的定义,它由多个Inception模块和其他常见的卷积、池化、全连接层组成。
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