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/integration_tests/dataset_tests/california_housing_test.py | integration_tests/dataset_tests/california_housing_test.py | from keras.src import testing
from keras.src.datasets import california_housing
class CaliforniaHousingTest(testing.TestCase):
def test_load_data_large(self):
(x_train, y_train), (x_test, y_test) = california_housing.load_data(
version="large"
)
self.assertEqual(x_train.shape[1... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/integration_tests/dataset_tests/cifar10_test.py | integration_tests/dataset_tests/cifar10_test.py | import numpy as np
from keras.src import testing
from keras.src.datasets import cifar10
class Cifar10LoadDataTest(testing.TestCase):
def test_x_train_shape(self):
(x_train, _), _ = cifar10.load_data()
self.assertEqual(x_train.shape, (50000, 32, 32, 3))
def test_y_train_shape(self):
(... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/integration_tests/dataset_tests/fashion_mnist_test.py | integration_tests/dataset_tests/fashion_mnist_test.py | import numpy as np
from keras.src import testing
from keras.src.datasets import fashion_mnist
class FashionMnistLoadDataTest(testing.TestCase):
def test_x_train_shape(self):
(x_train, _), _ = fashion_mnist.load_data()
self.assertEqual(x_train.shape, (60000, 28, 28))
def test_y_train_shape(se... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/integration_tests/dataset_tests/boston_housing_test.py | integration_tests/dataset_tests/boston_housing_test.py | from keras.src import testing
from keras.src.datasets import boston_housing
class BostonHousingTest(testing.TestCase):
def test_load_data(self):
(x_train, y_train), (x_test, y_test) = boston_housing.load_data()
self.assertEqual(x_train.shape[1], 13)
self.assertEqual(x_train.shape[0] + x_te... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/examples/demo_jax_distributed.py | examples/demo_jax_distributed.py | # To run this demo, you will need to spin up a "TPU VM" on Google Cloud.
# Please follow instructions here: https://cloud.google.com/tpu/docs/run-calculation-jax
# Force a JAX backend
import os, pprint, collections
os.environ["KERAS_BACKEND"] = "jax"
pp = pprint.PrettyPrinter()
import jax
import jax.numpy as jnp
im... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/examples/demo_custom_tf_workflow.py | examples/demo_custom_tf_workflow.py | # flake8: noqa
import os
# Set backend env to tensorflow
os.environ["KERAS_BACKEND"] = "tensorflow"
import numpy as np
import tensorflow as tf
from keras import Model
from keras import backend
from keras import initializers
from keras import layers
from keras import ops
from keras import optimizers
class MyDense(l... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/examples/demo_custom_jax_workflow.py | examples/demo_custom_jax_workflow.py | # flake8: noqa
import os
# Set backend env to JAX
os.environ["KERAS_BACKEND"] = "jax"
import jax
import numpy as np
from keras import Model
from keras import backend
from keras import initializers
from keras import layers
from keras import ops
from keras import optimizers
class MyDense(layers.Layer):
def __ini... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/examples/demo_subclass.py | examples/demo_subclass.py | import numpy as np
from keras import Model
from keras import layers
from keras import losses
from keras import metrics
from keras import optimizers
class MyModel(Model):
def __init__(self, hidden_dim, output_dim):
super().__init__()
self.dense1 = layers.Dense(hidden_dim, activation="relu")
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/examples/demo_functional.py | examples/demo_functional.py | import numpy as np
from keras import Model
from keras import layers
from keras import losses
from keras import metrics
from keras import optimizers
import keras
keras.config.disable_traceback_filtering()
inputs = layers.Input((100,))
x = layers.Dense(512, activation="relu")(inputs)
residual = x
x = layers.Dense(512,... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/examples/demo_mnist_convnet.py | examples/demo_mnist_convnet.py | import numpy as np
import keras
from keras import layers
from keras.utils import to_categorical
# Model / data parameters
num_classes = 10
input_shape = (28, 28, 1)
# Load the data and split it between train and test sets
(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()
# Scale images to the [... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/examples/demo_custom_torch_workflow.py | examples/demo_custom_torch_workflow.py | # flake8: noqa
import os
# Set backend env to torch
os.environ["KERAS_BACKEND"] = "torch"
import torch
import torch.nn as nn
import torch.optim as optim
from keras import layers
import keras
import numpy as np
# Model / data parameters
num_classes = 10
input_shape = (28, 28, 1)
learning_rate = 0.01
batch_size = 64
n... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/examples/demo_custom_layer_backend_agnostic.py | examples/demo_custom_layer_backend_agnostic.py | import numpy as np
import keras
from keras import Model
from keras import initializers
from keras import layers
from keras import losses
from keras import metrics
from keras import ops
from keras import optimizers
class MyDense(layers.Layer):
def __init__(self, units, name=None):
super().__init__(name=na... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/examples/demo_torch_multi_gpu.py | examples/demo_torch_multi_gpu.py | # flake8: noqa
import os
# Set backend env to torch
os.environ["KERAS_BACKEND"] = "torch"
import torch
import torch.nn as nn
import torch.optim as optim
from keras import layers
import keras
import numpy as np
import torch.multiprocessing as mp
import torch.distributed as dist
from torch.nn.parallel import Distribut... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/__init__.py | keras/__init__.py | # This file should NEVER be packaged! This is a hack to make "import keras" from
# the base of the repo just import the source files. We'll keep it for compat.
import os # isort: skip
# Add everything in /api/ to the module search path.
__path__.append(os.path.join(os.path.dirname(__file__), "api")) # noqa: F405
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/version.py | keras/src/version.py | from keras.src.api_export import keras_export
# Unique source of truth for the version number.
__version__ = "3.14.0"
@keras_export("keras.version")
def version():
return __version__
| 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/__init__.py | keras/src/__init__.py | from keras.src import activations
from keras.src import applications
from keras.src import backend
from keras.src import constraints
from keras.src import datasets
from keras.src import initializers
from keras.src import layers
from keras.src import models
from keras.src import ops
from keras.src import optimizers
from... | 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/api_export.py | keras/src/api_export.py | try:
import namex
except ImportError:
namex = None
# These dicts reference "canonical names" only
# (i.e. the first name an object was registered with).
REGISTERED_NAMES_TO_OBJS = {}
REGISTERED_OBJS_TO_NAMES = {}
def register_internal_serializable(path, symbol):
global REGISTERED_NAMES_TO_OBJS
if is... | 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/initializers/random_initializers.py | keras/src/initializers/random_initializers.py | import math
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.backend import random
from keras.src.initializers.initializer import Initializer
from keras.src.saving import serialization_lib
class RandomInitializer(Initializer):
def __init__(self, seed=None):
self._ini... | 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/initializers/random_initializers_test.py | keras/src/initializers/random_initializers_test.py | import numpy as np
from conftest import skip_if_backend
from keras.src import backend
from keras.src import initializers
from keras.src import random
from keras.src import testing
from keras.src import utils
class RandomInitializersTest(testing.TestCase):
def test_random_normal(self):
utils.set_random_se... | 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/initializers/__init__.py | keras/src/initializers/__init__.py | import inspect
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.initializers.constant_initializers import STFT
from keras.src.initializers.constant_initializers import Constant
from keras.src.initializers.constant_initializers impo... | 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/initializers/constant_initializers.py | keras/src/initializers/constant_initializers.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.backend import standardize_dtype
from keras.src.initializers.initializer import Initializer
from keras.src.saving import serialization_lib
from keras.src.utils.module_utils import scipy
@keras_export(["keras.initializers.Constant",... | 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/initializers/initializer.py | keras/src/initializers/initializer.py | from keras.src.api_export import keras_export
@keras_export(["keras.Initializer", "keras.initializers.Initializer"])
class Initializer:
"""Initializer base class: all Keras initializers inherit from this class.
Initializers should implement a `__call__()` method with the following
signature:
```pyth... | 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/initializers/constant_initializers_test.py | keras/src/initializers/constant_initializers_test.py | import numpy as np
import scipy.signal
from conftest import skip_if_backend
from keras.src import backend
from keras.src import initializers
from keras.src import testing
class ConstantInitializersTest(testing.TestCase):
def test_zeros_initializer(self):
shape = (3, 3)
initializer = initializers... | 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/distillation/distiller_test.py | keras/src/distillation/distiller_test.py | import json
import os
import numpy as np
import pytest
import keras
from keras.src.distillation.distillation_loss import LogitsDistillation
from keras.src.distillation.distiller import Distiller
from keras.src.testing import TestCase
class SimpleTeacher(keras.Model):
"""Simple teacher model for testing."""
... | 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/distillation/distiller.py | keras/src/distillation/distiller.py | import keras
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.distillation.distillation_loss import _convert_loss_to_function
from keras.src.models.model import Model
from keras.src.saving import serialization_lib
@keras_export("keras.distillation.Distiller")
class Distiller(Mod... | 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/distillation/distillation_loss_test.py | keras/src/distillation/distillation_loss_test.py | import numpy as np
import pytest
import keras
from keras.src.distillation.distillation_loss import FeatureDistillation
from keras.src.distillation.distillation_loss import LogitsDistillation
from keras.src.distillation.distiller import Distiller
from keras.src.testing import TestCase
@pytest.mark.requires_trainable_... | 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/distillation/distillation_loss.py | keras/src/distillation/distillation_loss.py | import keras
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.saving import serialization_lib
from keras.src.utils import tracking
def _convert_loss_to_function(loss_item):
"""Convert a loss string identifier to a loss function.
Arguments:
loss_item: Either a 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/distillation/__init__.py | keras/src/distillation/__init__.py | """Distillation module for knowledge distillation in Keras."""
| 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/regularizers/regularizers_test.py | keras/src/regularizers/regularizers_test.py | import numpy as np
from keras.src import backend
from keras.src import regularizers
from keras.src import testing
from keras.src.regularizers.regularizers import validate_float_arg
class RegularizersTest(testing.TestCase):
def test_config(self):
reg = regularizers.L1(0.1)
self.run_class_serializa... | 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/regularizers/regularizers.py | keras/src/regularizers/regularizers.py | import math
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.utils.numerical_utils import normalize
@keras_export(["keras.Regularizer", "keras.regularizers.Regularizer"])
class Regularizer:
"""Regularizer base class.
Regularizers allow you to apply penalties on layer pa... | 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/regularizers/__init__.py | keras/src/regularizers/__init__.py | import inspect
from keras.src.api_export import keras_export
from keras.src.regularizers.regularizers import L1
from keras.src.regularizers.regularizers import L1L2
from keras.src.regularizers.regularizers import L2
from keras.src.regularizers.regularizers import OrthogonalRegularizer
from keras.src.regularizers.regul... | 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/saving/saving_api_test.py | keras/src/saving/saving_api_test.py | import os
import pathlib
import unittest.mock as mock
import numpy as np
from absl import logging
from absl.testing import parameterized
from keras.src import layers
from keras.src.legacy.saving.legacy_h5_format import save_model_to_hdf5
from keras.src.models import Sequential
from keras.src.saving import saving_api
... | 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/saving/serialization_lib.py | keras/src/saving/serialization_lib.py | """Object config serialization and deserialization logic."""
import importlib
import inspect
import types
import warnings
import numpy as np
from keras.src import api_export
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
from keras.src.sa... | 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/saving/file_editor.py | keras/src/saving/file_editor.py | import collections
import json
import os.path
import pprint
import zipfile
import h5py
import numpy as np
import rich.console
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.saving import saving_lib
from keras.src.saving.saving_lib import H5IOStore
from keras.src.utils impor... | 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/saving/saving_lib.py | keras/src/saving/saving_lib.py | """Python-based idempotent model-saving functionality."""
import datetime
import io
import json
import math
import os
import pathlib
import shutil
import tempfile
import warnings
import zipfile
import ml_dtypes
import numpy as np
from keras.src import backend
from keras.src.backend.common import global_state
from ke... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | true |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/saving/serialization_lib_test.py | keras/src/saving/serialization_lib_test.py | """Tests for serialization_lib."""
import json
import numpy as np
import pytest
import keras
from keras.src import ops
from keras.src import testing
from keras.src.saving import object_registration
from keras.src.saving import serialization_lib
def custom_fn(x):
return x**2
class CustomLayer(keras.layers.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/saving/object_registration.py | keras/src/saving/object_registration.py | import inspect
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
GLOBAL_CUSTOM_OBJECTS = {}
GLOBAL_CUSTOM_NAMES = {}
@keras_export(
[
"keras.saving.CustomObjectScope",
"keras.saving.custom_object_scope",
"keras.utils.CustomObjectScope",
... | 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/saving/saving_lib_test.py | keras/src/saving/saving_lib_test.py | """Tests for Keras python-based idempotent saving functions."""
import json
import os
import warnings
import zipfile
from io import BytesIO
from pathlib import Path
from unittest import mock
import numpy as np
import pytest
from absl.testing import parameterized
import keras
from keras.src import backend
from keras.... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | true |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/saving/keras_saveable.py | keras/src/saving/keras_saveable.py | import io
class KerasSaveable:
# Note: renaming this function will cause old pickles to be broken.
# This is probably not a huge deal, as pickle should not be a recommended
# saving format -- it should only be supported for use with distributed
# computing frameworks.
def _obj_type(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/saving/__init__.py | keras/src/saving/__init__.py | from keras.src.saving.object_registration import CustomObjectScope
from keras.src.saving.object_registration import custom_object_scope
from keras.src.saving.object_registration import get_custom_objects
from keras.src.saving.object_registration import get_registered_name
from keras.src.saving.object_registration impor... | 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/saving/saving_api.py | keras/src/saving/saving_api.py | import os
import zipfile
from absl import logging
from keras.src.api_export import keras_export
from keras.src.legacy.saving import legacy_h5_format
from keras.src.saving import saving_lib
from keras.src.utils import file_utils
from keras.src.utils import io_utils
try:
import h5py
except ImportError:
h5py = ... | 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/saving/object_registration_test.py | keras/src/saving/object_registration_test.py | import keras
from keras.src import testing
from keras.src.saving import object_registration
from keras.src.saving import serialization_lib
class TestObjectRegistration(testing.TestCase):
def test_custom_object_scope(self):
def custom_fn():
pass
class CustomClass:
pass
... | 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/saving/file_editor_test.py | keras/src/saving/file_editor_test.py | import os
import numpy as np
import pytest
import keras
from keras.src import testing
from keras.src.saving.file_editor import KerasFileEditor
def get_source_model():
inputs = keras.Input((2,))
x = keras.layers.Dense(3, name="mydense")(inputs)
outputs = keras.layers.Dense(3, name="output_layer")(x)
... | 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/optimizers/optimizer_test.py | keras/src/optimizers/optimizer_test.py | import os
import pickle
import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import constraints
from keras.src import layers
from keras.src import models
from keras.src import optimizers
from keras.src import testing
class OptimizerTest(testing.TestCas... | 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/optimizers/adamw_test.py | keras/src/optimizers/adamw_test.py | # flake8: noqa
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.adamw import AdamW
class AdamWTest(testing.TestCase):
def test_config(self):
optimizer = AdamW(
learning_rate=0.5,
weight_decay=0.008... | 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/optimizers/ftrl_test.py | keras/src/optimizers/ftrl_test.py | # flake8: noqa
import numpy as np
from unittest import mock
from keras.src import backend
from keras.src import testing
from keras.src.optimizers.ftrl import Ftrl
class FtrlTest(testing.TestCase):
def test_config(self):
optimizer = Ftrl(
learning_rate=0.05,
learning_rate_power=-... | 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/optimizers/adamax.py | keras/src/optimizers/adamax.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.Adamax"])
class Adamax(optimizer.Optimizer):
"""Optimizer that implements the Adamax algorithm.
Adamax, a variant of Adam based on the infinity norm, is a first-... | 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/optimizers/adam.py | keras/src/optimizers/adam.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.Adam"])
class Adam(optimizer.Optimizer):
"""Optimizer that implements the Adam algorithm.
Adam optimization is a stochastic gradient descent method that is based... | 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/optimizers/lion_test.py | keras/src/optimizers/lion_test.py | import numpy as np
import pytest
import keras
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.lion import Lion
class LionTest(testing.TestCase):
def test_invalid_beta_1(self):
with self.assertRaisesRegex(
ValueError,
... | 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/optimizers/adadelta_test.py | keras/src/optimizers/adadelta_test.py | import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.adadelta import Adadelta
class AdadeltaTest(testing.TestCase):
def test_config(self):
optimizer = Adadelta(
learning_rate=0.5,
rho=0.9,
ep... | 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/optimizers/muon.py | keras/src/optimizers/muon.py | import re
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.Muon"])
class Muon(optimizer.Optimizer):
"""Optimizer that implements the Muon algorithm.
Note that this optimizer should not be used in the following... | 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/optimizers/nadam_test.py | keras/src/optimizers/nadam_test.py | # flake8: noqa
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.nadam import Nadam
class NadamTest(testing.TestCase):
def test_config(self):
optimizer = Nadam(
learning_rate=0.5,
beta_1=0.5,
... | 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/optimizers/optimizer.py | keras/src/optimizers/optimizer.py | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.optimizers import base_optimizer
if backend.backend() == "tensorflow":
from keras.src.backend.tensorflow.optimizer import (
TFOptimizer as BackendOptimizer,
)
elif backend.backend() == "torch":
from keras.src... | 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/optimizers/adagrad.py | keras/src/optimizers/adagrad.py | from keras.src import initializers
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.Adagrad"])
class Adagrad(optimizer.Optimizer):
"""Optimizer that implements the Adagrad algorithm.
Adagrad is an optimizer wit... | 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/optimizers/adamw.py | keras/src/optimizers/adamw.py | from keras.src.api_export import keras_export
from keras.src.optimizers import adam
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.AdamW"])
class AdamW(adam.Adam):
"""Optimizer that implements the AdamW algorithm.
AdamW optimization is a stochastic gradient descent method that is... | 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/optimizers/adadelta.py | keras/src/optimizers/adadelta.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.Adadelta"])
class Adadelta(optimizer.Optimizer):
"""Optimizer that implements the Adadelta algorithm.
Adadelta optimization is a stochastic gradient descent meth... | 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/optimizers/optimizer_sparse_test.py | keras/src/optimizers/optimizer_sparse_test.py | from unittest import mock
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import ops
from keras.src import optimizers
from keras.src import testing
class ScatterUpdateOptimizer(optimizers.Optimizer):
def __init__(self):
super().__init__(learning_rate=0.0... | 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/optimizers/adam_test.py | keras/src/optimizers/adam_test.py | import numpy as np
import pytest
import keras
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.adam import Adam
class AdamTest(testing.TestCase):
def test_config(self):
optimizer = Adam(
learning_rate=0.5,
beta_1=0.5,
... | 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/optimizers/rmsprop_test.py | keras/src/optimizers/rmsprop_test.py | import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.rmsprop import RMSprop
class RMSpropTest(testing.TestCase):
def test_config(self):
optimizer = RMSprop(
learning_rate=0.5,
rho=0.8,
moment... | 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/optimizers/adafactor_test.py | keras/src/optimizers/adafactor_test.py | # flake8: noqa
import numpy as np
from keras.src import backend
from keras.src import testing
from keras.src.optimizers.adafactor import Adafactor
class AdafactorTest(testing.TestCase):
def test_config(self):
optimizer = Adafactor(
learning_rate=0.5,
beta_2_decay=-0.65,
... | 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/optimizers/nadam.py | keras/src/optimizers/nadam.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.Nadam"])
class Nadam(optimizer.Optimizer):
"""Optimizer that implements the Nadam algorithm.
Much like Adam is essentially RMSprop ... | 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/optimizers/lion.py | keras/src/optimizers/lion.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.Lion"])
class Lion(optimizer.Optimizer):
"""Optimizer that implements the Lion algorithm.
The Lion optimizer is a stochastic-gradient-descent method that uses th... | 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/optimizers/ftrl.py | keras/src/optimizers/ftrl.py | from keras.src import initializers
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.Ftrl"])
class Ftrl(optimizer.Optimizer):
r"""Optimizer that implements the FTRL algorithm.
"Follow The Regularized Leader" (FT... | 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/optimizers/lamb_test.py | keras/src/optimizers/lamb_test.py | import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.lamb import Lamb
class LambTest(testing.TestCase):
def test_config(self):
optimizer = Lamb(
learning_rate=0.5,
beta_1=0.5,
beta_2=0.67,
... | 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/optimizers/__init__.py | keras/src/optimizers/__init__.py | from keras.src.api_export import keras_export
from keras.src.optimizers.adadelta import Adadelta
from keras.src.optimizers.adafactor import Adafactor
from keras.src.optimizers.adagrad import Adagrad
from keras.src.optimizers.adam import Adam
from keras.src.optimizers.adamax import Adamax
from keras.src.optimizers.adamw... | 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/optimizers/sgd_test.py | keras/src/optimizers/sgd_test.py | # flake8: noqa
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.sgd import SGD
class SGDTest(testing.TestCase):
def test_config(self):
optimizer = SGD(
learning_rate=0.5,
momentum=0.06,
... | 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/optimizers/sgd.py | keras/src/optimizers/sgd.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export("keras.optimizers.SGD")
class SGD(optimizer.Optimizer):
"""Gradient descent (with momentum) optimizer.
Update rule for parameter `w` with gradient `g` when `momentum` is 0:
``... | 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/optimizers/loss_scale_optimizer_test.py | keras/src/optimizers/loss_scale_optimizer_test.py | import numpy as np
from absl.testing import parameterized
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.loss_scale_optimizer import LossScaleOptimizer
from keras.src.optimizers.sgd import SGD
class LossScaleOptimizerTest(testing.TestCase):
def _sk... | 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/optimizers/adafactor.py | keras/src/optimizers/adafactor.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.Adafactor"])
class Adafactor(optimizer.Optimizer):
"""Optimizer that implements the Adafactor algorithm.
Adafactor is commonly used... | 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/optimizers/adamax_test.py | keras/src/optimizers/adamax_test.py | # flake8: noqa
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.adamax import Adamax
class AdamaxTest(testing.TestCase):
def test_config(self):
optimizer = Adamax(
learning_rate=0.5,
beta_1=0.8,
... | 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/optimizers/rmsprop.py | keras/src/optimizers/rmsprop.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export(["keras.optimizers.RMSprop"])
class RMSprop(optimizer.Optimizer):
"""Optimizer that implements the RMSprop algorithm.
The gist of RMSprop is to:
- Maintain a moving (discounte... | 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/optimizers/muon_test.py | keras/src/optimizers/muon_test.py | import numpy as np
import pytest
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.layers import Dense
from keras.src.layers import Embedding
from keras.src.layers import Input
from keras.src.models import Sequential
from keras.src.optimizers.muon import Muon
class ... | 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/optimizers/base_optimizer.py | keras/src/optimizers/base_optimizer.py | import re
import warnings
from keras.src import backend
from keras.src import initializers
from keras.src import ops
from keras.src.optimizers.schedules import learning_rate_schedule
from keras.src.saving import serialization_lib
from keras.src.saving.keras_saveable import KerasSaveable
from keras.src.utils import tra... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | true |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/optimizers/adagrad_test.py | keras/src/optimizers/adagrad_test.py | # flake8: noqa
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.optimizers.adagrad import Adagrad
class AdagradTest(testing.TestCase):
def test_config(self):
optimizer = Adagrad(
learning_rate=0.5,
initial_ac... | 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/optimizers/lamb.py | keras/src/optimizers/lamb.py | from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
@keras_export("keras.optimizers.Lamb")
class Lamb(optimizer.Optimizer):
"""Optimizer that implements the Lamb algorithm.
Lamb is a stochastic gradient descent method that
uses layer-wise ada... | 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/optimizers/loss_scale_optimizer.py | keras/src/optimizers/loss_scale_optimizer.py | from keras.src import backend
from keras.src import initializers
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.optimizers import optimizer
from keras.src.saving import serialization_lib
from keras.src.utils import tracking
@keras_export(
[
"keras.optimizers.LossSca... | 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/optimizers/schedules/learning_rate_schedule.py | keras/src/optimizers/schedules/learning_rate_schedule.py | """Various learning rate schedule functions."""
import math
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.saving import serialization_lib
@keras_export("keras.optimizers.schedules.LearningRateSchedule")
class LearningRateSchedule:
"""The learning rate schedule base class... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | true |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/optimizers/schedules/__init__.py | keras/src/optimizers/schedules/__init__.py | from keras.src.optimizers.schedules.learning_rate_schedule import CosineDecay
from keras.src.optimizers.schedules.learning_rate_schedule import (
CosineDecayRestarts,
)
from keras.src.optimizers.schedules.learning_rate_schedule import (
ExponentialDecay,
)
from keras.src.optimizers.schedules.learning_rate_sched... | 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/optimizers/schedules/learning_rate_schedule_test.py | keras/src/optimizers/schedules/learning_rate_schedule_test.py | """Tests for learning rate schedule API."""
import math
import numpy as np
import pytest
from keras.src import backend
from keras.src import layers
from keras.src import optimizers
from keras.src import testing
from keras.src.models import Sequential
from keras.src.optimizers import schedules
class TestFitLRSchedu... | 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/dtype_policies/dtype_policy_map_test.py | keras/src/dtype_policies/dtype_policy_map_test.py | import numpy as np
import pytest
from keras.src import dtype_policies
from keras.src import layers
from keras.src import models
from keras.src import saving
from keras.src import testing
from keras.src.dtype_policies.dtype_policy import dtype_policy
from keras.src.dtype_policies.dtype_policy import set_dtype_policy
fr... | 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/dtype_policies/dtype_policy.py | keras/src/dtype_policies/dtype_policy.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
QUANTIZATION_MODES = ("int8", "float8", "int4", "gptq")
@keras_export(
[
"keras.DTypePolicy",
"keras.dtype_policies.DTypePolicy",
"keras.... | 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/dtype_policies/__init__.py | keras/src/dtype_policies/__init__.py | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.dtype_policies import dtype_policy
from keras.src.dtype_policies.dtype_policy import QUANTIZATION_MODES
from keras.src.dtype_policies.dtype_policy import DTypePolicy
from keras.src.dtype_policies.dtype_policy import FloatDTypePol... | 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/dtype_policies/dtype_policy_map.py | keras/src/dtype_policies/dtype_policy_map.py | import re
from collections.abc import MutableMapping
from keras.src import dtype_policies
from keras.src.api_export import keras_export
from keras.src.dtype_policies import DTypePolicy
@keras_export(["keras.dtype_policies.DTypePolicyMap"])
class DTypePolicyMap(DTypePolicy, MutableMapping):
"""Dict-like object ma... | 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/dtype_policies/dtype_policy_test.py | keras/src/dtype_policies/dtype_policy_test.py | from absl.testing import parameterized
from keras.src.dtype_policies import deserialize
from keras.src.dtype_policies import get
from keras.src.dtype_policies import serialize
from keras.src.dtype_policies.dtype_policy import DTypePolicy
from keras.src.dtype_policies.dtype_policy import FloatDTypePolicy
from keras.src... | 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/losses/losses.py | keras/src/losses/losses.py | import warnings
from keras.src import backend
from keras.src import ops
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.losses.loss import Loss
from keras.src.losses.loss import squeeze_or_expand_to_same_rank
from keras.src.saving import serialization_lib
from keras.src.utils.nu... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | true |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/losses/loss.py | keras/src/losses/loss.py | from keras.src import backend
from keras.src import dtype_policies
from keras.src import ops
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.saving.keras_saveable import KerasSaveable
from keras.src.utils.naming import auto_name
@keras_export(["keras.Loss", "keras.losses.Loss"]... | 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/losses/__init__.py | keras/src/losses/__init__.py | import inspect
from keras.src.api_export import keras_export
from keras.src.losses.loss import Loss
from keras.src.losses.losses import CTC
from keras.src.losses.losses import BinaryCrossentropy
from keras.src.losses.losses import BinaryFocalCrossentropy
from keras.src.losses.losses import CategoricalCrossentropy
from... | 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/losses/losses_test.py | keras/src/losses/losses_test.py | import re
import numpy as np
import pytest
from keras.src import backend
from keras.src import testing
from keras.src.losses import losses
class MeanSquaredErrorTest(testing.TestCase):
def test_config(self):
self.run_class_serialization_test(losses.MeanSquaredError(name="mymse"))
def test_base_func... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | true |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/losses/loss_test.py | keras/src/losses/loss_test.py | import pickle
import numpy as np
import pytest
from keras.src import backend
from keras.src import dtype_policies
from keras.src import losses as losses_module
from keras.src import ops
from keras.src import testing
from keras.src.losses.loss import Loss
from keras.src.losses.loss import squeeze_or_expand_to_same_ran... | 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/visualization/draw_bounding_boxes.py | keras/src/visualization/draw_bounding_boxes.py | import numpy as np
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.converters import ( # noqa: E501
convert_format,
)
try:
import cv2
except ImportError:
cv2 = None
@keras_export... | 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/visualization/plot_segmentation_mask_gallery.py | keras/src/visualization/plot_segmentation_mask_gallery.py | import functools
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.visualization.draw_segmentation_masks import (
draw_segmentation_masks,
)
from keras.src.visualization.plot_image_gallery import plot_image_gallery
@keras_expo... | 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/visualization/plot_image_gallery.py | keras/src/visualization/plot_image_gallery.py | import math
import numpy as np
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.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
try:
import matplotlib.pyplot as pl... | 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/visualization/plot_bounding_box_gallery.py | keras/src/visualization/plot_bounding_box_gallery.py | import functools
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.visualization.draw_bounding_boxes import draw_bounding_boxes
from keras.src.visualization.plot_image_gallery import plot_image_gallery
try:
from matplotlib impo... | 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/visualization/__init__.py | keras/src/visualization/__init__.py | from keras.src.visualization import draw_bounding_boxes
from keras.src.visualization import plot_image_gallery
| 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/visualization/draw_segmentation_masks.py | keras/src/visualization/draw_segmentation_masks.py | import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
@keras_export("keras.visualization.draw_segmentation_masks")
def draw_segmentation_masks(
images,
segmentation_masks,
num_classes=None,
color_mapping=None,
alpha=0.8,
blend... | 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/datasets/imdb.py | keras/src/datasets/imdb.py | """IMDB sentiment classification dataset."""
import json
import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils.file_utils import get_file
from keras.src.utils.python_utils import remove_long_seq
@keras_export("keras.datasets.imdb.load_data")
def load_data(
path="imdb.npz",
n... | 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/datasets/boston_housing.py | keras/src/datasets/boston_housing.py | import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils.file_utils import get_file
@keras_export("keras.datasets.boston_housing.load_data")
def load_data(path="boston_housing.npz", test_split=0.2, seed=113):
"""Loads the Boston Housing dataset.
This is a dataset taken from 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/datasets/fashion_mnist.py | keras/src/datasets/fashion_mnist.py | """Fashion-MNIST dataset."""
import gzip
import os
import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils.file_utils import get_file
@keras_export("keras.datasets.fashion_mnist.load_data")
def load_data():
"""Loads the Fashion-MNIST dataset.
This is a dataset of 60,000 28x28... | 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/datasets/mnist.py | keras/src/datasets/mnist.py | """MNIST handwritten digits dataset."""
import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils.file_utils import get_file
@keras_export("keras.datasets.mnist.load_data")
def load_data(path="mnist.npz"):
"""Loads the MNIST dataset.
This is a dataset of 60,000 28x28 grayscale i... | 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/datasets/cifar100.py | keras/src/datasets/cifar100.py | """CIFAR100 small images classification dataset."""
import os
import numpy as np
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.datasets.cifar import load_batch
from keras.src.utils.file_utils import get_file
@keras_export("keras.datasets.cifar100.load_data")
def load_da... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
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