repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/solarization_test.py | keras/src/layers/preprocessing/image_preprocessing/solarization_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import layers
from keras.src import ops
from keras.src import random
from keras.src import testing
class SolarizationTest(testing.TestCase):
def _test_input_output(self, layer, input_value, expected_value, dtype):
inpu... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_flip_test.py | keras/src/layers/preprocessing/image_preprocessing/random_flip_test.py | import unittest.mock
import numpy as np
from absl.testing import parameterized
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
from keras.src import utils
class MockedRandomFlip(layers.RandomFlip):
def call(self, inputs, training=Tr... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/solarization.py | keras/src/layers/preprocessing/image_preprocessing/solarization.py | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.ops.core import _saturate_cast
from keras.src.random.seed_generator import SeedGener... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_posterization.py | keras/src/layers/preprocessing/image_preprocessing/random_posterization.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
@keras_export("keras.layers.RandomPosterization")
class RandomPosterization(BaseImagePreprocessingLayer):
"""Reduces the nu... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_rotation_test.py | keras/src/layers/preprocessing/image_preprocessing/random_rotation_test.py | import numpy as np
from absl.testing import parameterized
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomRotationTest(testing.TestCase):
@parameterized.named_parameters(
("random_rotate_neg4", -0.4),
("ra... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/equalization.py | keras/src/layers/preprocessing/image_preprocessing/equalization.py | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
@keras_export("keras.layers.Equalization")
class Equalization(BaseImagePreprocessingLayer):
"... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/cut_mix.py | keras/src/layers/preprocessing/image_preprocessing/cut_mix.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.random import SeedGenerator
@keras_export("keras.layers.CutMix")
class CutMix(BaseImagePreprocessingLayer):
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/resizing.py | keras/src/layers/preprocessing/image_preprocessing/resizing.py | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import ( # noqa:... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_translation_test.py | keras/src/layers/preprocessing/image_preprocessing/random_translation_test.py | import numpy as np
from absl.testing import parameterized
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
from keras.src.utils import backend_utils
class RandomTranslationTest(testing.TestCase):
@parameterized.named_parameters(
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_contrast_test.py | keras/src/layers/preprocessing/image_preprocessing/random_contrast_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomContrastTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
l... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_translation.py | keras/src/layers/preprocessing/image_preprocessing/random_translation.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import ( # noqa: E501
clip_to_image_size,
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_zoom.py | keras/src/layers/preprocessing/image_preprocessing/random_zoom.py | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import ( # noqa:... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_perspective_test.py | keras/src/layers/preprocessing/image_preprocessing/random_perspective_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomPerspectiveTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_gaussian_blur_test.py | keras/src/layers/preprocessing/image_preprocessing/random_gaussian_blur_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
from keras.src.backend import convert_to_tensor
class RandomGaussianBlurTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_lay... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_rotation.py | keras/src/layers/preprocessing/image_preprocessing/random_rotation.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes import (
converters,
)
from keras.src.random.seed_gene... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/aug_mix_test.py | keras/src/layers/preprocessing/image_preprocessing/aug_mix_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandAugmentTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
laye... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_color_degeneration.py | keras/src/layers/preprocessing/image_preprocessing/random_color_degeneration.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.random import SeedGenerator
@keras_export("keras.layers.RandomColorDegeneration")
class RandomColorDegeneration(... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_flip.py | keras/src/layers/preprocessing/image_preprocessing/random_flip.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import ( # noqa: E501
clip_to_image_size,
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_sharpness.py | keras/src/layers/preprocessing/image_preprocessing/random_sharpness.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.random import SeedGenerator
@keras_export("keras.layers.RandomSharpness")
class RandomSharpness(BaseImagePreproc... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/rand_augment_test.py | keras/src/layers/preprocessing/image_preprocessing/rand_augment_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandAugmentTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
laye... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_sharpness_test.py | keras/src/layers/preprocessing/image_preprocessing/random_sharpness_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
import keras
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomSharpnessTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_elastic_transform_test.py | keras/src/layers/preprocessing/image_preprocessing/random_elastic_transform_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomElasticTransformTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_brightness.py | keras/src/layers/preprocessing/image_preprocessing/random_brightness.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.random.seed_generator import SeedGenerator
@keras_export("keras.layers.RandomBrightness")
class RandomBrightness... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_erasing_test.py | keras/src/layers/preprocessing/image_preprocessing/random_erasing_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomErasingTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
la... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_zoom_test.py | keras/src/layers/preprocessing/image_preprocessing/random_zoom_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import testing
from keras.src.utils import backend_utils
class RandomZoomTest(testing.TestCase):
@p... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/__init__.py | keras/src/layers/preprocessing/image_preprocessing/__init__.py | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false | |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_shear.py | keras/src/layers/preprocessing/image_preprocessing/random_shear.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import ( # noqa: E501
clip_to_image_size,
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_brightness_test.py | keras/src/layers/preprocessing/image_preprocessing/random_brightness_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomBrightnessTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_saturation.py | keras/src/layers/preprocessing/image_preprocessing/random_saturation.py | from keras.src.api_export import keras_export
from keras.src.backend import epsilon
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.random import SeedGenerator
@keras_export("keras.layers.RandomSaturation")... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/mix_up_test.py | keras/src/layers/preprocessing/image_preprocessing/mix_up_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
from keras.src.backend import convert_to_tensor
class MixUpTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_hue_test.py | keras/src/layers/preprocessing/image_preprocessing/random_hue_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
import keras
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomHueTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_erasing.py | keras/src/layers/preprocessing/image_preprocessing/random_erasing.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.random import SeedGenerator
@keras_export("keras.layers.RandomErasing")
class RandomErasing(BaseImagePreprocessi... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_crop.py | keras/src/layers/preprocessing/image_preprocessing/random_crop.py | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import ( # noqa:... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_invert_test.py | keras/src/layers/preprocessing/image_preprocessing/random_invert_test.py | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomInvertTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
lay... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_elastic_transform.py | keras/src/layers/preprocessing/image_preprocessing/random_elastic_transform.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.random.seed_generator import SeedGenerator
@keras_export("keras.layers.RandomElasticTransform")
class RandomElas... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/rand_augment.py | keras/src/layers/preprocessing/image_preprocessing/rand_augment.py | import keras.src.layers as layers
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.random import SeedGenerator
from keras.src.utils import backend_utils
@keras_e... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/max_num_bounding_box.py | keras/src/layers/preprocessing/image_preprocessing/max_num_bounding_box.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
@keras_export("keras.layers.MaxNumBoundingBoxes")
class MaxNumBoundingBoxes(BaseImagePreprocessingLayer):
"""Ensure the max... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_grayscale.py | keras/src/layers/preprocessing/image_preprocessing/random_grayscale.py | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
@keras_export("keras.layers.RandomGrayscale")
class RandomGrayscale(BaseImagePreprocessingLayer):... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/center_crop.py | keras/src/layers/preprocessing/image_preprocessing/center_crop.py | from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import ( # noqa: E501
clip_to_image_size,
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/random_crop_test.py | keras/src/layers/preprocessing/image_preprocessing/random_crop_test.py | import numpy as np
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomCropTest(testing.TestCase):
def test_random_crop(self):
self.run_layer_test(
layers.RandomCrop,
init_kwargs={
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/auto_contrast.py | keras/src/layers/preprocessing/image_preprocessing/auto_contrast.py | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
from keras.src.ops.core import _saturate_cast
@keras_export("keras.layers.AutoContrast")
class Au... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/formats.py | keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/formats.py | class XYXY:
"""XYXY contains axis indices for the XYXY format.
All values in the XYXY format should be absolute pixel values.
The XYXY format consists of the following required indices:
- LEFT: left of the bounding box
- TOP: top of the bounding box
- RIGHT: right of the bounding box
- BO... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/iou.py | keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/iou.py | """Contains functions to compute ious of bounding boxes."""
import math
import keras
from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes import (
converters,
)
def _compute_area(box):
"""... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/converters.py | keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/converters.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.bounding_box import ( # noqa: E501
BoundingBox,
)
from keras.src.utils import backend_utils
@keras_export("keras.utils.bounding_boxes.conver... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/iou_test.py | keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/iou_test.py | """Tests for iou functions."""
import numpy as np
from keras.src import testing
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes import (
iou as iou_lib,
)
class IoUTest(testing.TestCase):
def test_compute_single_iou(self):
bb1 = np.array([[100, 101, 200, 201]])
bb1_off... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/validation.py | keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/validation.py | from keras.src import backend as current_backend
from keras.src.utils import tf_utils
def _classes_shape(batched, classes_shape, max_boxes):
if max_boxes is None:
return None
if batched:
return [None, max_boxes] + classes_shape[2:]
return [max_boxes] + classes_shape[1:]
def _box_shape(ba... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/bounding_box.py | keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/bounding_box.py | import math
from keras.src.utils import backend_utils
SUPPORTED_FORMATS = (
"xyxy",
"yxyx",
"xywh",
"center_xywh",
"center_yxhw",
"rel_xyxy",
"rel_yxyx",
"rel_xywh",
"rel_center_xywh",
)
class BoundingBox:
def __init__(self):
self.backend = backend_utils.DynamicBacken... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/__init__.py | keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/__init__.py | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false | |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/converters_test.py | keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/converters_test.py | import itertools
import numpy as np
from absl.testing import parameterized
from keras.src import ops
from keras.src import testing
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes.converters import ( # noqa: E501
affine_transform,
)
from keras.src.layers.preprocessing.image_preprocessing.bo... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/validation_test.py | keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/validation_test.py | import pytest
import tensorflow as tf
from keras.src import backend
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes import (
validation,
)
from keras.src.testing import test_case
@pytest.mark.skipif(
backend.backend() != "tensorflow",
reason="The test targets TensorFlow-specific ra... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/activation.py | keras/src/layers/activations/activation.py | from keras.src import activations
from keras.src.api_export import keras_export
from keras.src.layers.layer import Layer
@keras_export("keras.layers.Activation")
class Activation(Layer):
"""Applies an activation function to an output.
Args:
activation: Activation function. It could be a callable, or ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/relu.py | keras/src/layers/activations/relu.py | from keras.src import activations
from keras.src.api_export import keras_export
from keras.src.layers.layer import Layer
@keras_export("keras.layers.ReLU")
class ReLU(Layer):
"""Rectified Linear Unit activation function layer.
Formula:
``` python
f(x) = max(x,0)
f(x) = max_value if x >= max_value... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/relu_test.py | keras/src/layers/activations/relu_test.py | import numpy as np
import pytest
from keras.src import testing
from keras.src.layers.activations import relu
class ReLUTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_relu(self):
self.run_layer_test(
relu.ReLU,
init_kwargs={
"max_value"... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/elu.py | keras/src/layers/activations/elu.py | from keras.src import activations
from keras.src.api_export import keras_export
from keras.src.layers.layer import Layer
@keras_export("keras.layers.ELU")
class ELU(Layer):
"""Applies an Exponential Linear Unit function to an output.
Formula:
```
f(x) = alpha * (exp(x) - 1.) for x < 0
f(x) = x f... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/prelu_test.py | keras/src/layers/activations/prelu_test.py | import numpy as np
import pytest
from keras.src import testing
from keras.src.layers.activations import prelu
class PReLUTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_prelu(self):
self.run_layer_test(
prelu.PReLU,
init_kwargs={
"alpha... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/softmax.py | keras/src/layers/activations/softmax.py | from keras.src import activations
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.layer import Layer
def _large_negative_number(dtype):
"""Return a Large negative number based on dtype."""
if backend.standardize_dtype(dtype) == "float16":
return -3e4
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/activation_test.py | keras/src/layers/activations/activation_test.py | import pytest
from keras.src import activations
from keras.src import layers
from keras.src import testing
class ActivationTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_activation_basics(self):
self.run_layer_test(
layers.Activation,
init_kwargs={
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/elu_test.py | keras/src/layers/activations/elu_test.py | import numpy as np
import pytest
from keras.src import testing
from keras.src.layers.activations import elu
class ELUTest(testing.TestCase):
def test_config(self):
elu_layer = elu.ELU()
self.run_class_serialization_test(elu_layer)
@pytest.mark.requires_trainable_backend
def test_elu(self... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/softmax_test.py | keras/src/layers/activations/softmax_test.py | import numpy as np
import pytest
from keras.src import testing
from keras.src.layers.activations import softmax
class SoftmaxTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_softmax(self):
self.run_layer_test(
softmax.Softmax,
init_kwargs={},
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/__init__.py | keras/src/layers/activations/__init__.py | from keras.src.layers.activations.elu import ELU
from keras.src.layers.activations.leaky_relu import LeakyReLU
from keras.src.layers.activations.prelu import PReLU
from keras.src.layers.activations.relu import ReLU
from keras.src.layers.activations.softmax import Softmax
| python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/leaky_relu.py | keras/src/layers/activations/leaky_relu.py | import warnings
from keras.src import activations
from keras.src.api_export import keras_export
from keras.src.layers.layer import Layer
@keras_export("keras.layers.LeakyReLU")
class LeakyReLU(Layer):
"""Leaky version of a Rectified Linear Unit activation layer.
This layer allows a small gradient when the u... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/prelu.py | keras/src/layers/activations/prelu.py | from keras.src import activations
from keras.src import constraints
from keras.src import initializers
from keras.src import regularizers
from keras.src.api_export import keras_export
from keras.src.layers.input_spec import InputSpec
from keras.src.layers.layer import Layer
@keras_export("keras.layers.PReLU")
class P... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/activations/leaky_relu_test.py | keras/src/layers/activations/leaky_relu_test.py | import numpy as np
import pytest
from keras.src import testing
from keras.src.layers.activations import leaky_relu
class LeakyReLUTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_leaky_relu(self):
self.run_layer_test(
leaky_relu.LeakyReLU,
init_kwargs={... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/average_pooling2d.py | keras/src/layers/pooling/average_pooling2d.py | from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_pooling import BasePooling
@keras_export(["keras.layers.AveragePooling2D", "keras.layers.AvgPool2D"])
class AveragePooling2D(BasePooling):
"""Average pooling operation for 2D spatial data.
Downsamples the input along its spatial... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/adaptive_max_pooling3d.py | keras/src/layers/pooling/adaptive_max_pooling3d.py | """Adaptive Max Pooling 3D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveMaxPooling,
)
@keras_export("keras.layers.AdaptiveMaxPooling3D")
class AdaptiveMaxPooling3D(BaseAdaptiveMaxPooling):
"""Adaptive max pooling operation fo... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/base_pooling.py | keras/src/layers/pooling/base_pooling.py | from keras.src import backend
from keras.src import ops
from keras.src.layers.input_spec import InputSpec
from keras.src.layers.layer import Layer
from keras.src.ops.operation_utils import compute_pooling_output_shape
from keras.src.utils import argument_validation
class BasePooling(Layer):
"""Base pooling layer.... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/adaptive_pooling3d_test.py | keras/src/layers/pooling/adaptive_pooling3d_test.py | import numpy as np
import pytest
from keras.src import backend
from keras.src import layers
from keras.src import testing
SKIP_BACKENDS = ["openvino"]
pytestmark = pytest.mark.skipif(
backend.backend() in SKIP_BACKENDS,
reason=(
"Adaptive pooling tests not supported for backend: {}".format(
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/average_pooling_test.py | keras/src/layers/pooling/average_pooling_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from numpy.lib.stride_tricks import as_strided
from keras.src import backend
from keras.src import layers
from keras.src import testing
def _same_padding(input_size, pool_size, stride):
if input_size % stride == 0:
return max(pool_si... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/global_max_pooling_test.py | keras/src/layers/pooling/global_max_pooling_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import layers
from keras.src import testing
@pytest.mark.requires_trainable_backend
class GlobalMaxPoolingBasicTest(testing.TestCase):
@parameterized.parameters(
("channels_last", False, (3, 5, 4), (3, 4)),
("c... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/max_pooling1d.py | keras/src/layers/pooling/max_pooling1d.py | from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_pooling import BasePooling
@keras_export(["keras.layers.MaxPooling1D", "keras.layers.MaxPool1D"])
class MaxPooling1D(BasePooling):
"""Max pooling operation for 1D temporal data.
Downsamples the input representation by taking the... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/adaptive_pooling1d_test.py | keras/src/layers/pooling/adaptive_pooling1d_test.py | import numpy as np
import pytest
from keras.src import backend
from keras.src import layers
from keras.src import testing
SKIP_BACKENDS = ["openvino"]
pytestmark = pytest.mark.skipif(
backend.backend() in SKIP_BACKENDS,
reason=(
"Adaptive pooling tests not supported for backend: {}".format(
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/average_pooling1d.py | keras/src/layers/pooling/average_pooling1d.py | from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_pooling import BasePooling
@keras_export(["keras.layers.AveragePooling1D", "keras.layers.AvgPool1D"])
class AveragePooling1D(BasePooling):
"""Average pooling for temporal data.
Downsamples the input representation by taking the ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/adaptive_average_pooling1d.py | keras/src/layers/pooling/adaptive_average_pooling1d.py | """Adaptive Average Pooling 1D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveAveragePooling,
)
@keras_export("keras.layers.AdaptiveAveragePooling1D")
class AdaptiveAveragePooling1D(BaseAdaptiveAveragePooling):
"""Adaptive aver... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/adaptive_pooling2d_test.py | keras/src/layers/pooling/adaptive_pooling2d_test.py | import numpy as np
import pytest
from keras.src import backend
from keras.src import layers
from keras.src import testing
SKIP_BACKENDS = ["openvino"]
pytestmark = pytest.mark.skipif(
backend.backend() in SKIP_BACKENDS,
reason=(
"Adaptive pooling tests not supported for backend: {}".format(
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/max_pooling_test.py | keras/src/layers/pooling/max_pooling_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from numpy.lib.stride_tricks import as_strided
from keras.src import layers
from keras.src import testing
def _same_padding(input_size, pool_size, stride):
if input_size % stride == 0:
return max(pool_size - stride, 0)
else:
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/global_average_pooling2d.py | keras/src/layers/pooling/global_average_pooling2d.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_global_pooling import BaseGlobalPooling
@keras_export(
[
"keras.layers.GlobalAveragePooling2D",
"keras.layers.GlobalAvgPool2D",
]
)
class GlobalAveragePooling2D(BaseGlobalPooling):
""... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/adaptive_average_pooling2d.py | keras/src/layers/pooling/adaptive_average_pooling2d.py | """Adaptive Average Pooling 2D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveAveragePooling,
)
@keras_export("keras.layers.AdaptiveAveragePooling2D")
class AdaptiveAveragePooling2D(BaseAdaptiveAveragePooling):
"""Adaptive aver... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/adaptive_max_pooling2d.py | keras/src/layers/pooling/adaptive_max_pooling2d.py | """Adaptive Max Pooling 2D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveMaxPooling,
)
@keras_export("keras.layers.AdaptiveMaxPooling2D")
class AdaptiveMaxPooling2D(BaseAdaptiveMaxPooling):
"""Adaptive max pooling operation fo... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/base_global_pooling.py | keras/src/layers/pooling/base_global_pooling.py | from keras.src import backend
from keras.src.layers.input_spec import InputSpec
from keras.src.layers.layer import Layer
class BaseGlobalPooling(Layer):
"""Base global pooling layer."""
def __init__(
self, pool_dimensions, data_format=None, keepdims=False, **kwargs
):
super().__init__(**k... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/global_max_pooling2d.py | keras/src/layers/pooling/global_max_pooling2d.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_global_pooling import BaseGlobalPooling
@keras_export(
[
"keras.layers.GlobalMaxPooling2D",
"keras.layers.GlobalMaxPool2D",
]
)
class GlobalMaxPooling2D(BaseGlobalPooling):
"""Global ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/average_pooling3d.py | keras/src/layers/pooling/average_pooling3d.py | from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_pooling import BasePooling
@keras_export(["keras.layers.AveragePooling3D", "keras.layers.AvgPool3D"])
class AveragePooling3D(BasePooling):
"""Average pooling operation for 3D data (spatial or spatio-temporal).
Downsamples the in... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/adaptive_max_pooling1d.py | keras/src/layers/pooling/adaptive_max_pooling1d.py | """Adaptive Max Pooling 1D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveMaxPooling,
)
@keras_export("keras.layers.AdaptiveMaxPooling1D")
class AdaptiveMaxPooling1D(BaseAdaptiveMaxPooling):
"""Adaptive max pooling operation fo... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/__init__.py | keras/src/layers/pooling/__init__.py | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false | |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/global_average_pooling_test.py | keras/src/layers/pooling/global_average_pooling_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import layers
from keras.src import testing
@pytest.mark.requires_trainable_backend
class GlobalAveragePoolingBasicTest(testing.TestCase):
@parameterized.parameters(
("channels_last", False, (3, 5, 4), (3, 4)),
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/global_average_pooling1d.py | keras/src/layers/pooling/global_average_pooling1d.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_global_pooling import BaseGlobalPooling
@keras_export(
[
"keras.layers.GlobalAveragePooling1D",
"keras.layers.GlobalAvgPool1D",
]
)
class GlobalAveragePoolin... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/global_max_pooling3d.py | keras/src/layers/pooling/global_max_pooling3d.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_global_pooling import BaseGlobalPooling
@keras_export(
[
"keras.layers.GlobalMaxPooling3D",
"keras.layers.GlobalMaxPool3D",
]
)
class GlobalMaxPooling3D(BaseGlobalPooling):
"""Global ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/adaptive_average_pooling3d.py | keras/src/layers/pooling/adaptive_average_pooling3d.py | """Adaptive Average Pooling 3D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveAveragePooling,
)
@keras_export("keras.layers.AdaptiveAveragePooling3D")
class AdaptiveAveragePooling3D(BaseAdaptiveAveragePooling):
"""Adaptive aver... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/global_max_pooling1d.py | keras/src/layers/pooling/global_max_pooling1d.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_global_pooling import BaseGlobalPooling
@keras_export(
[
"keras.layers.GlobalMaxPooling1D",
"keras.layers.GlobalMaxPool1D",
]
)
class GlobalMaxPooling1D(BaseGlobalPooling):
"""Global ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/global_average_pooling3d.py | keras/src/layers/pooling/global_average_pooling3d.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_global_pooling import BaseGlobalPooling
@keras_export(
[
"keras.layers.GlobalAveragePooling3D",
"keras.layers.GlobalAvgPool3D",
]
)
class GlobalAveragePooling3D(BaseGlobalPooling):
""... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/max_pooling2d.py | keras/src/layers/pooling/max_pooling2d.py | from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_pooling import BasePooling
@keras_export(["keras.layers.MaxPooling2D", "keras.layers.MaxPool2D"])
class MaxPooling2D(BasePooling):
"""Max pooling operation for 2D spatial data.
Downsamples the input along its spatial dimensions ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/base_adaptive_pooling.py | keras/src/layers/pooling/base_adaptive_pooling.py | """Base classes for adaptive pooling layers."""
from keras.src import ops
from keras.src.backend import config
from keras.src.layers.layer import Layer
class BaseAdaptivePooling(Layer):
"""Base class shared by all adaptive pooling layers."""
def __init__(self, output_size, data_format=None, **kwargs):
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/pooling/max_pooling3d.py | keras/src/layers/pooling/max_pooling3d.py | from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_pooling import BasePooling
@keras_export(["keras.layers.MaxPooling3D", "keras.layers.MaxPool3D"])
class MaxPooling3D(BasePooling):
"""Max pooling operation for 3D data (spatial or spatio-temporal).
Downsamples the input along it... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/rnn/time_distributed.py | keras/src/layers/rnn/time_distributed.py | """Wrapper layer to apply every temporal slice of an input."""
from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.core.wrapper import Wrapper
from keras.src.layers.layer import Layer
@keras_export("keras.layers.TimeDistributed")
class TimeDistr... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/rnn/dropout_rnn_cell_test.py | keras/src/layers/rnn/dropout_rnn_cell_test.py | import pytest
from keras.src import backend
from keras.src import layers
from keras.src import ops
from keras.src import testing
from keras.src.layers.rnn.dropout_rnn_cell import DropoutRNNCell
class RNNCellWithDropout(layers.Layer, DropoutRNNCell):
def __init__(
self, units, dropout=0.5, recurrent_dropo... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/rnn/rnn_test.py | keras/src/layers/rnn/rnn_test.py | import numpy as np
import pytest
from keras.src import layers
from keras.src import ops
from keras.src import testing
class OneStateRNNCell(layers.Layer):
def __init__(self, units, state_size=None, **kwargs):
super().__init__(**kwargs)
self.units = units
self.state_size = state_size if st... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/rnn/gru_test.py | keras/src/layers/rnn/gru_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import initializers
from keras.src import layers
from keras.src import testing
class GRUTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_basics(self):
self.run_... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/rnn/conv_lstm1d_test.py | keras/src/layers/rnn/conv_lstm1d_test.py | import numpy as np
import pytest
from keras.src import backend
from keras.src import initializers
from keras.src import layers
from keras.src import testing
class ConvLSTM1DTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_basics(self):
channels_last = backend.config.image_data... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/rnn/stacked_rnn_cells.py | keras/src/layers/rnn/stacked_rnn_cells.py | from keras.src import ops
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.layers.layer import Layer
from keras.src.saving import serialization_lib
@keras_export("keras.layers.StackedRNNCells")
class StackedRNNCells(Layer):
"""Wrapper allowing a stack of RNN cells to behave ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/rnn/conv_lstm_test.py | keras/src/layers/rnn/conv_lstm_test.py | import numpy as np
from keras.src import backend
from keras.src import initializers
from keras.src import testing
from keras.src.layers.rnn.conv_lstm import ConvLSTM
from keras.src.layers.rnn.conv_lstm import ConvLSTMCell
class ConvLSTMCellTest(testing.TestCase):
def test_correctness(self):
x = np.arange... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/rnn/simple_rnn.py | keras/src/layers/rnn/simple_rnn.py | from keras.src import activations
from keras.src import backend
from keras.src import constraints
from keras.src import initializers
from keras.src import ops
from keras.src import regularizers
from keras.src.api_export import keras_export
from keras.src.layers.input_spec import InputSpec
from keras.src.layers.layer im... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
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