Rename src folder to correct install

Author: Irina Nicolae

art/__init__.py

@@ -0,0 +1,11 @@
+"""
+Module providing adversarial attacks under a common interface.
+"""
+from art.attacks.attack import Attack
+from art.attacks.carlini import CarliniL2Method
+from art.attacks.deepfool import DeepFool
+from art.attacks.fast_gradient import FastGradientMethod
+from art.attacks.newtonfool import NewtonFool
+from art.attacks.saliency_map import SaliencyMapMethod
+from art.attacks.universal_perturbation import UniversalPerturbation
+from art.attacks.virtual_adversarial import VirtualAdversarialMethod

art/attacks/__init__.py

@@ -23,7 +23,7 @@
 from keras.utils.generic_utils import Progbar
 import tensorflow as tf
 
-from src.attacks.attack import Attack
+from art.attacks.attack import Attack
 
 # TODO Rename attack parameter to `max_iter`
 

src/attacks/attack.py renamed to art/attacks/attack.py

@@ -21,9 +21,9 @@
 import tensorflow as tf
 import unittest
 
-from src.attacks.carlini import CarliniL2Method
-from src.classifiers.cnn import CNN
-from src.utils import load_mnist, get_labels_np_array, random_targets
+from art.attacks.carlini import CarliniL2Method
+from art.classifiers.cnn import CNN
+from art.utils import load_mnist, get_labels_np_array, random_targets
 
 
 class TestCarliniL2(unittest.TestCase):

src/attacks/carlini.py renamed to art/attacks/carlini.py

@@ -23,7 +23,7 @@
 import numpy as np
 import tensorflow as tf
 
-from src.attacks.attack import Attack, class_derivative
+from art.attacks.attack import Attack, class_derivative
 
 
 class DeepFool(Attack):

src/attacks/carlini_unittest.py renamed to art/attacks/carlini_unittest.py

@@ -21,9 +21,9 @@
 import tensorflow as tf
 import unittest
 
-from src.attacks.deepfool import DeepFool
-from src.classifiers.cnn import CNN
-from src.utils import load_mnist, get_labels_np_array, get_label_conf
+from art.attacks.deepfool import DeepFool
+from art.classifiers.cnn import CNN
+from art.utils import load_mnist, get_labels_np_array, get_label_conf
 
 
 class TestDeepFool(unittest.TestCase):

src/attacks/deepfool.py renamed to art/attacks/deepfool.py

@@ -21,7 +21,7 @@
 import numpy as np
 import tensorflow as tf
 
-from src.attacks.attack import Attack
+from art.attacks.attack import Attack
 
 
 class FastGradientMethod(Attack):
@@ -228,7 +228,8 @@ def set_params(self, **kwargs):
         if self.ord not in [np.inf, int(1), int(2)]:
             raise ValueError("Norm order must be either np.inf, 1, or 2.")
 
-        if self.eps <= self.clip_min or self.eps > self.clip_max:
-            raise ValueError('The amount of perturbation has to be in the data range.')
+        if self.clip_min is not None and self.clip_max is not None:
+            if self.eps <= self.clip_min or self.eps > self.clip_max:
+                raise ValueError('The amount of perturbation has to be in the data range.')
 
         return True

src/attacks/deepfool_unittest.py renamed to art/attacks/deepfool_unittest.py

@@ -22,9 +22,9 @@
 import keras.backend as k
 import tensorflow as tf
 
-from src.attacks.fast_gradient import FastGradientMethod
-from src.classifiers.cnn import CNN
-from src.utils import load_mnist, get_labels_np_array
+from art.attacks.fast_gradient import FastGradientMethod
+from art.classifiers.cnn import CNN
+from art.utils import load_mnist, get_labels_np_array
 
 
 class TestFastGradientMethod(unittest.TestCase):

src/attacks/fast_gradient.py renamed to art/attacks/fast_gradient.py

@@ -22,7 +22,7 @@
 import numpy as np
 import tensorflow as tf
 
-from src.attacks.attack import Attack, class_derivative
+from art.attacks.attack import Attack, class_derivative
 
 # TODO Add parameters `clip_min` and `clip_max`