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import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.models import vgg11
class VGG11Embedding(nn.Module):
def __init__(self, embedding_size, weights=None):
super(VGG11Embedding, self).__init__()
vgg = vgg11(weights=weights)
self.features = vgg.features
self.linear = nn.Linear(512, embedding_size)
def forward(self, x):
x = self.features(x)
x = torch.flatten(x, 1)
x = self.linear(x)
x = F.normalize(x, p=2, dim=1)
return x
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