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优化 model_norm 方法 #26

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优化 model_norm 方法 #26

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14 changes: 9 additions & 5 deletions chapter15_Differential_Privacy/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,9 +26,13 @@ def get_model(name="vgg16", pretrained=True):
else:
return model


def model_norm(model_1, model_2):
squared_sum = 0
for name, layer in model_1.named_parameters():
# print(torch.mean(layer.data), torch.mean(model_2.state_dict()[name].data))
squared_sum += torch.sum(torch.pow(layer.data - model_2.state_dict()[name].data, 2))
return math.sqrt(squared_sum)
params_1 = torch.cat([param.view(-1) for param in model_1.parameters()])
params_2 = torch.cat([param.view(-1) for param in model_2.parameters()])

return torch.norm(params_1 - params_2, p = 2)

def quick_model_norm(model_1, model_2):
diffs = [(p1 - p2).view(-1) for p1, p2 in zip(model_1.parameters(), model_2.parameters())]
return torch.norm(torch.cat(diffs), p = 2)