20 lines
645 B
Python
20 lines
645 B
Python
import torch
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import torch.nn as nn
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import numpy as np
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import torchvision
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from torchvision import datasets, models, transforms
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class resnet18(nn.Module):
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def __init__(self, num_classes):
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super(resnet18, self).__init__()
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self.model = models.resnet18(pretrained=False)
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# replace the last FC layer by a FC layer for our model
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num_ftrs = self.model.fc.in_features
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self.model.fc = nn.Linear(num_ftrs, num_classes, bias=True)
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nn.init.xavier_uniform_(self.model.fc.weight)
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self.model.fc.bias.data.fill_(0.01)
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def forward(self, x):
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f = self.model(x)
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return f
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