Bump keras from 2.14.0 to 3.10.0

.github/workflows/ci-huggingface.yml

@@ -49,9 +49,9 @@ jobs:
           sudo apt-get update
           sudo apt-get -y -q install ffmpeg libavcodec-extra
           python -m pip install --upgrade pip setuptools wheel
-          pip3 install -r requirements_test.txt
-          pip install tensorflow==2.14.0
-          pip install keras==2.14.0
+          pip install -q -r <(sed '/^tensorflow/d;/^keras/d;/^mxnet/d' requirements_test.txt)
+          pip install tensorflow==2.18.1
+          pip install keras==3.10.0
           pip install torch==${{ matrix.torch }} --index-url https://download.pytorch.org/whl/cpu
           pip install torchvision==${{ matrix.torchvision }} --index-url https://download.pytorch.org/whl/cpu
           pip install torchaudio==${{ matrix.torchaudio }} --index-url https://download.pytorch.org/whl/cpu

.github/workflows/ci-keras.yml

@@ -28,24 +28,12 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - name: Keras 2.13.1 (TensorFlow 2.13.1 Python 3.10)
-            framework: keras
-            python: '3.10'
-            tensorflow: 2.13.1
-            keras: 2.13.1
-            tf_addons: 0.19.0
-          - name: Keras 2.14.0 (TensorFlow 2.14.0 Python 3.10)
-            framework: keras
-            python: '3.10'
-            tensorflow: 2.14.0
-            keras: 2.14.0
-            tf_addons: 0.20.0
-          - name: TensorFlow-Keras 2.14.0 (Keras 2.14.0 Python 3.10)
+          - name: TensorFlow-Keras 2.18.1 (Keras 3.10.0 Python 3.10)
             framework: kerastf
             python: '3.10'
-            tensorflow: 2.14.0
-            keras: 2.14.0
-            tf_addons: 0.20.0
+            tensorflow: 2.18.1
+            keras: 3.10.0
+            tf_addons: 0.23.0
 
     name: ${{ matrix.name }}
     steps:
@@ -60,7 +48,7 @@ jobs:
           sudo apt-get update
           sudo apt-get -y -q install ffmpeg libavcodec-extra
           python -m pip install --upgrade pip setuptools wheel
-          pip install -q -r <(sed '/^tensorflow/d;/^keras/d;/^tensorflow-addons/d' requirements_test.txt)
+          pip install -q -r <(sed '/^tensorflow/d;/^keras/d;/^tensorflow-addons/d;/^mxnet/d' requirements_test.txt)
           pip install tensorflow==${{ matrix.tensorflow }}
           pip install keras==${{ matrix.keras }}
           pip install tensorflow-addons==${{ matrix.tf_addons }}

.github/workflows/ci-legacy.yml

@@ -29,14 +29,14 @@ jobs:
       matrix:
         module: [attacks_1, attacks_2, estimators, defences, metrics, art]
         include:
-          - name: legacy (TensorFlow 2.14.0 Keras 2.14.0 PyTorch 1.13.1 scikit-learn 1.6.1 Python 3.9)
+          - name: legacy (TensorFlow 2.18.1 Keras 3.10.0 PyTorch 2.7.0 scikit-learn 1.6.1 Python 3.10)
             framework: legacy
             python: '3.10'
-            tensorflow: 2.14.0
-            keras: 2.14.0
-            torch: 1.13.1+cpu
-            torchvision: 0.14.1+cpu
-            torchaudio: 0.13.1+cpu
+            tensorflow: 2.18.1
+            keras: 3.10.0
+            torch: 2.7.0
+            torchvision: 0.22.0
+            torchaudio: 2.7.0
             scikit-learn: 1.6.1
 
     name: Run ${{ matrix.module }} ${{ matrix.name }} Tests
@@ -52,7 +52,7 @@ jobs:
           sudo apt-get update
           sudo apt-get -y -q install ffmpeg libavcodec-extra
           python -m pip install --upgrade pip setuptools wheel
-          pip install -q -r requirements_test.txt
+          pip install -q -r <(sed '/^tensorflow/d;/^keras/d;/^torch/d;/^torchvision/d;/^torchaudio/d;/^mxnet/d' requirements_test.txt)
           pip install tensorflow==${{ matrix.tensorflow }}
           pip install keras==${{ matrix.keras }}
           pip install scikit-learn==${{ matrix.scikit-learn }}

.github/workflows/ci-pytorch-object-detectors.yml

@@ -39,7 +39,7 @@ jobs:
           sudo apt-get update
           sudo apt-get -y -q install ffmpeg libavcodec-extra
           python -m pip install --upgrade pip setuptools wheel
-          pip3 install -q -r requirements_test.txt
+          pip install -q -r <(sed '/^mxnet/d' requirements_test.txt)
           pip list
       - name: Run Test Action - test_pytorch_object_detector
         run: pytest --cov-report=xml --cov=art --cov-append -q -vv tests/estimators/object_detection/test_pytorch_object_detector.py --framework=pytorch --durations=0

.github/workflows/ci-pytorch.yml

@@ -54,8 +54,7 @@ jobs:
           sudo apt-get update
           sudo apt-get -y -q install ffmpeg libavcodec-extra
           python -m pip install --upgrade pip setuptools wheel
-          pip3 install -r requirements_test.txt
-          pip install -q -r <(sed '/^torch/d;/^torchvision/d;/^torchaudio/d' requirements_test.txt)
+          pip install -q -r <(sed '/^mxnet/d' requirements_test.txt)
           pip install torch==${{ matrix.torch }} --index-url https://download.pytorch.org/whl/cpu
           pip install torchvision==${{ matrix.torchvision }} --index-url https://download.pytorch.org/whl/cpu
           pip install torchaudio==${{ matrix.torchaudio }} --index-url https://download.pytorch.org/whl/cpu

.github/workflows/ci-style-checks.yml

@@ -39,11 +39,9 @@ jobs:
       - name: Install Dependencies
         run: |
           python -m pip install --upgrade pip setuptools wheel
-          pip install -r requirements_test.txt
-          pip install -q -r <(sed '/^numpy/d;/^tensorflow/d;/^keras/d' requirements_test.txt)
-          pip install numpy==1.22.4
-          pip install tensorflow==2.13.1
-          pip install keras==2.13.1
+          pip install -q -r <(sed '/^tensorflow/d;/^keras/d;/^mxnet/d' requirements_test.txt)
+          pip install tensorflow==2.18.1
+          pip install keras==3.10.0
           pip list
       - name: pycodestyle
         run: pycodestyle --ignore=C0330,C0415,E203,E231,W503 --max-line-length=120 art

.github/workflows/ci-tensorflow-v2.yml

@@ -28,20 +28,20 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - name: TensorFlow 2.14.0v1 (Keras 2.14.0 Python 3.10)
+          - name: TensorFlow 2.18.1v1 (Keras 3.10.0 Python 3.10)
             framework: tensorflow2v1
             python: '3.10'
-            tensorflow: 2.14.0
+            tensorflow: 2.18.1
             tf_version: v2
-            keras: 2.14.0
-            tf_addons: 0.21.0
-          - name: TensorFlow 2.14.0 (Keras 2.14.0 Python 3.10)
+            keras: 3.10.0
+            tf_addons: 0.23.0
+          - name: TensorFlow 2.18.1 (Keras 3.10.0 Python 3.10)
             framework: tensorflow
             python: '3.10'
-            tensorflow: 2.14.0
+            tensorflow: 2.18.1
             tf_version: v2
-            keras: 2.14.0
-            tf_addons: 0.21.0
+            keras: 3.10.0
+            tf_addons: 0.23.0
 
     name: ${{ matrix.name }}
     steps:
@@ -56,7 +56,7 @@ jobs:
           sudo apt-get update
           sudo apt-get -y -q install ffmpeg libavcodec-extra
           python -m pip install --upgrade pip setuptools wheel
-          pip install -q -r <(sed '/^tensorflow/d;/^keras/d;/^tensorflow-addons/d' requirements_test.txt)
+          pip install -q -r <(sed '/^tensorflow/d;/^keras/d;/^tensorflow-addons/d;/^mxnet/d' requirements_test.txt)
           pip install tensorflow==${{ matrix.tensorflow }}
           pip install keras==${{ matrix.keras }}
           pip install tensorflow-addons==${{ matrix.tf_addons }}

art/attacks/evasion/carlini.py

@@ -828,7 +828,6 @@ def _check_params(self) -> None:
             raise ValueError("The initial constant value must be a positive float.")
 
         if not isinstance(self.largest_const, (int, float)) or self.largest_const < 0:
-            print(self.largest_const)
             raise ValueError("The largest constant value must be a positive float.")
 
         if not isinstance(self.const_factor, (int, float)) or self.const_factor < 0:

art/attacks/poisoning/adversarial_embedding_attack.py

@@ -113,7 +113,7 @@
                     BatchNormalization,
                     LeakyReLU,
                 )
-                from tensorflow.keras.optimizers.legacy import Adam
+                from tensorflow.keras.optimizers import Adam
 
                 opt = Adam(lr=self.learning_rate)
 
@@ -123,7 +123,7 @@
                 from keras.layers import GaussianNoise, Dense, BatchNormalization, LeakyReLU
 
                 try:
-                    from keras.optimizers.legacy import Adam
+                    from keras.optimizers import Adam
 
                     opt = Adam(lr=self.learning_rate)
                 except ImportError:

art/attacks/poisoning/gradient_matching_attack.py

@@ -236,7 +236,7 @@ def get_config(self) -> dict:
                 """
                 return {"schedule": self.schedule}
 
-        self.optimizer = tf.keras.optimizers.legacy.Adam(
+        self.optimizer = tf.keras.optimizers.Adam(
             gradient_transformers=[lambda grads_and_vars: [(tf.sign(g), v) for (g, v) in grads_and_vars]]
         )
         self.lr_schedule = tf.keras.callbacks.LearningRateScheduler(PredefinedLRSchedule(*self.learning_rate_schedule))

art/estimators/certification/derandomized_smoothing/tensorflow.py

@@ -68,7 +68,7 @@ def __init__(
         logits: bool,
         input_shape: tuple[int, ...],
         loss_object: "tf.Tensor" | None = None,
-        optimizer: "tf.keras.optimizers.legacy.Optimizer" | None = None,
+        optimizer: "tf.keras.optimizers.Optimizer" | None = None,
         train_step: Callable | None = None,
         channels_first: bool = False,
         clip_values: "CLIP_VALUES_TYPE" | None = None,