+class NoiseInjector(nn.Module):
+ def __init__(self):
+ super().__init__()
+ self.noise_std = 0.0
+
+ def forward(self, x):
+ if self.noise_std > 0:
+ x = x + torch.randn(x.size(), device=x.device) * self.noise_std
+ return x
+
+
+def set_noise_injection(model, noise_std):
+ for m in model.modules():
+ if isinstance(m, NoiseInjector):
+ m.noise_std = noise_std