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c858478 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | import torch.nn as nn
class RelationshipNet(nn.Module):
def __init__(self, num_classes):
super().__init__()
self.model = nn.Sequential(
nn.Conv2d(3, 32, 3, padding=1),
nn.ReLU(),
nn.MaxPool2d(2),
nn.Conv2d(32, 64, 3, padding=1),
nn.ReLU(),
nn.MaxPool2d(2),
nn.Conv2d(64, 128, 3, padding=1),
nn.ReLU(),
nn.MaxPool2d(2),
nn.Flatten(),
nn.Linear(128 * 16 * 16, 256),
nn.ReLU(),
nn.Linear(256, num_classes)
)
def forward(self, x):
return self.model(x) |