Optimize print information for FGSM & PGD

Author: ffiirree

cvm/attacks/fgsm.py

@@ -31,4 +31,4 @@ def perturb(self, images: torch.Tensor, labels: torch.Tensor = None, targeted: b
         return self.unprepare_inputs(images_adv)
 
     def __repr__(self) -> str:
-        return f'FGSM(eps={self.epsilon:>6.4f}, normalized={self.normalized}, mean={self.mean}, std={self.std})'
+        return f'FGSM(eps={self.epsilon:>6.4f}({self.epsilon * 255.0:>.1f}/255.0), normalized={self.normalized}, mean={self.mean}, std={self.std})'

cvm/attacks/pgd.py

@@ -39,4 +39,4 @@ def perturb(self, images: torch.Tensor, labels: torch.Tensor = None, targeted: b
         return self.unprepare_inputs(images_adv)
 
     def __repr__(self) -> str:
-        return f'PGD(eps={self.epsilon:>6.4f}, steps={self.steps}, alpha={self.alpha:>6.4f}, normalized={self.normalized}, mean={self.mean}, std={self.std})'
+        return f'PGD(eps={self.epsilon:>6.4f}({self.epsilon * 255.0:>.1f}/255.0), steps={self.steps}, alpha={self.alpha:>6.4f}({self.alpha * 255.0:>.1f}/255.0), normalized={self.normalized}, mean={self.mean}, std={self.std})'