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import torch.nn as nn
import torch.nn.functional as F
class CNNModel(nn.Module):
def __init__(self, num_classes):
super(CNNModel, self).__init__()
self.conv1 = nn.Conv2d(3, 32, kernel_size=3, padding=1)
self.conv2 = nn.Conv2d(32, 64, kernel_size=3, padding=1)
self.pool = nn.MaxPool2d(2, 2)
self.fc1 = nn.Linear(64 * 37 * 37, 128)
self.fc2 = nn.Linear(128, num_classes)
def forward(self, x):
x = self.pool(F.relu(self.conv1(x))) # 150->75
x = self.pool(F.relu(self.conv2(x))) # 75->37
x = x.view(-1, 64 * 37 * 37)
x = F.relu(self.fc1(x))
x = self.fc2(x)
return x
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