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/utils/file_utils_test.py | keras/src/utils/file_utils_test.py | import hashlib
import os
import shutil
import tarfile
import tempfile
import urllib
import urllib.parse
import urllib.request
import zipfile
from unittest.mock import patch
from keras.src.testing import test_case
from keras.src.utils import file_utils
class PathToStringTest(test_case.TestCase):
def test_path_to_... | 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/utils/code_stats_test.py | keras/src/utils/code_stats_test.py | import os
import sys
from io import StringIO
from keras.src.testing import test_case
from keras.src.utils.code_stats import count_loc
class TestCountLoc(test_case.TestCase):
def setUp(self):
self.test_dir = "test_directory"
os.makedirs(self.test_dir, exist_ok=True)
def tearDown(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/utils/image_utils.py | keras/src/utils/image_utils.py | """Utilities related to image handling."""
import io
import pathlib
import warnings
import numpy as np
from keras.src import backend
from keras.src.api_export import keras_export
try:
from PIL import Image as pil_image
try:
pil_image_resampling = pil_image.Resampling
except AttributeError:
... | 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/utils/module_utils.py | keras/src/utils/module_utils.py | import importlib
class LazyModule:
def __init__(self, name, pip_name=None, import_error_msg=None):
self.name = name
self.pip_name = pip_name or name
self.import_error_msg = import_error_msg or (
f"This requires the {self.name} module. "
f"You can install it via `pip... | 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/utils/code_stats.py | keras/src/utils/code_stats.py | import os
def count_loc(directory, exclude=("_test",), extensions=(".py",), verbose=0):
loc = 0
for root, _, fnames in os.walk(directory):
skip = False
for ex in exclude:
if root.endswith(ex):
skip = True
if skip:
continue
for fname in 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/utils/backend_utils_test.py | keras/src/utils/backend_utils_test.py | import numpy as np
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.utils import backend_utils
class BackendUtilsTest(testing.TestCase):
@parameterized.named_parameters(
("numpy", "numpy"),
("jax", "jax"),
("tensorflow", "te... | 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/utils/sequence_utils.py | keras/src/utils/sequence_utils.py | import numpy as np
from keras.src.api_export import keras_export
@keras_export(
[
"keras.utils.pad_sequences",
"keras.preprocessing.sequence.pad_sequences",
]
)
def pad_sequences(
sequences,
maxlen=None,
dtype="int32",
padding="pre",
truncating="pre",
value=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/utils/text_dataset_utils_test.py | keras/src/utils/text_dataset_utils_test.py | import os
import random
import string
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.utils import text_dataset_utils
class TextDatasetFromDirectoryTest(testing.TestCase):
def _prepare_directory(
self, num_classes=2, nested_dirs=False, co... | 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/utils/dataset_utils.py | keras/src/utils/dataset_utils.py | import os
import random
import time
import warnings
from multiprocessing.pool import ThreadPool
import numpy as np
from keras.src import backend
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.utils import file_utils
from keras.src.utils import io_utils
from keras.src.utils.mod... | 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/utils/numerical_utils_test.py | keras/src/utils/numerical_utils_test.py | import numpy as np
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.utils import numerical_utils
NUM_CLASSES = 5
class TestNumericalUtils(testing.TestCase):
@parameterized.parameters(
[
((1,), (1, NUM_CLASSES)),
((3... | 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/utils/grain_utils.py | keras/src/utils/grain_utils.py | from keras.src import backend
from keras.src import tree
def make_batch(values):
from keras.src import ops
if not values:
raise ValueError("Cannot batch 0 values. Please file a bug.")
with backend.device_scope("cpu"):
return tree.map_structure(lambda *xs: ops.stack(xs), *values)
def 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/utils/rng_utils_test.py | keras/src/utils/rng_utils_test.py | import numpy as np
import keras
from keras.src import backend
from keras.src.testing import test_case
from keras.src.utils import rng_utils
class TestRandomSeedSetting(test_case.TestCase):
def test_set_random_seed_with_seed_generator(self):
def get_model_output():
model = keras.Sequential(
... | 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/utils/audio_dataset_utils.py | keras/src/utils/audio_dataset_utils.py | import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils import dataset_utils
from keras.src.utils.module_utils import tensorflow as tf
from keras.src.utils.module_utils import tensorflow_io as tfio
ALLOWED_FORMATS = (".wav",)
@keras_export("keras.utils.audio_dataset_from_directory")
de... | 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/utils/progbar_test.py | keras/src/utils/progbar_test.py | import numpy as np
from absl.testing import parameterized
from keras.src import testing
from keras.src.utils import progbar
class ProgbarTest(testing.TestCase):
@parameterized.named_parameters(
[
("float", "float"),
("np", "np"),
("list", "list"),
]
)
d... | 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/utils/numerical_utils.py | keras/src/utils/numerical_utils.py | import numpy as np
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.utils import tf_utils
@keras_export("keras.utils.normalize")
def normalize(x, axis=-1, order=2):
"""Normalizes an array.
If the input is a NumPy array, a NumPy array will be returned.
If it's a ... | 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/utils/timeseries_dataset_utils.py | keras/src/utils/timeseries_dataset_utils.py | import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils.module_utils import tensorflow as tf
@keras_export(
[
"keras.utils.timeseries_dataset_from_array",
"keras.preprocessing.timeseries_dataset_from_array",
]
)
def timeseries_dataset_from_array(
data,
ta... | 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/utils/traceback_utils.py | keras/src/utils/traceback_utils.py | import inspect
import os
import traceback
import types
from functools import wraps
from keras.src import backend
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
_EXCLUDED_PATHS = (
os.path.abspath(os.path.join(__file__, "..", "..")),
o... | 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/utils/io_utils.py | keras/src/utils/io_utils.py | import sys
from absl import logging
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
@keras_export(
[
"keras.config.enable_interactive_logging",
"keras.utils.enable_interactive_logging",
]
)
def enable_interactive_logging():
"""Turn on inter... | 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/utils/image_dataset_utils_test.py | keras/src/utils/image_dataset_utils_test.py | import os
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.utils import image_dataset_utils
from keras.src.utils import image_utils
from keras.src.utils.module_utils import tensorflow as tf
class ImageDatas... | 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/utils/config.py | keras/src/utils/config.py | import copy
import json
try:
import difflib
except ImportError:
difflib = None
from keras.src.api_export import keras_export
@keras_export("keras.utils.Config")
class Config:
"""A Config is a dict-like container for named values.
It offers a few advantages over a plain dict:
- Setting and retr... | 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/utils/__init__.py | keras/src/utils/__init__.py | from keras.src.utils.audio_dataset_utils import audio_dataset_from_directory
from keras.src.utils.dataset_utils import split_dataset
from keras.src.utils.file_utils import get_file
from keras.src.utils.image_dataset_utils import image_dataset_from_directory
from keras.src.utils.image_utils import array_to_img
from kera... | 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/utils/python_utils.py | keras/src/utils/python_utils.py | import binascii
import codecs
import marshal
import os
import types as python_types
def is_continuous_axis(axis):
# Used to determine whether the dimensions in an axis are continuous
if isinstance(axis, int) or len(axis) == 1:
return True
positive_order_flag = True
for i in range(len(axis) - 1... | 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/utils/jax_utils.py | keras/src/utils/jax_utils.py | from keras.src import backend
def is_in_jax_tracing_scope(x=None):
if backend.backend() == "jax":
if x is None:
x = backend.numpy.ones(())
for c in x.__class__.__mro__:
if c.__name__ == "Tracer" and c.__module__.startswith("jax"):
return True
return Fals... | 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/utils/jax_layer_test.py | keras/src/utils/jax_layer_test.py | import math
import os
import jax
import jax.numpy as jnp
import numpy as np
import pytest
import tensorflow as tf
from absl.testing import parameterized
from keras.src import backend
from keras.src import layers
from keras.src import metrics
from keras.src import models
from keras.src import ops
from keras.src import... | 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/utils/io_utils_test.py | keras/src/utils/io_utils_test.py | import sys
import tempfile
from unittest.mock import patch
from keras.src.testing import test_case
from keras.src.utils import io_utils
class TestIoUtils(test_case.TestCase):
def test_enable_interactive_logging(self):
io_utils.enable_interactive_logging()
self.assertTrue(io_utils.is_interactive_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/utils/timeseries_dataset_utils_test.py | keras/src/utils/timeseries_dataset_utils_test.py | import numpy as np
from keras.src import testing
from keras.src.utils import timeseries_dataset_utils
class TimeseriesDatasetTest(testing.TestCase):
def test_basics(self):
# Test ordering, targets, sequence length, batch size
data = np.arange(100)
targets = data * 2
dataset = time... | 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/utils/dtype_utils.py | keras/src/utils/dtype_utils.py | from keras.src import backend
from keras.src import ops
DTYPE_TO_SIZE = {
**{f"float{i}": i for i in (16, 32, 64)},
**{f"int{i}": i for i in (8, 16, 32, 64)},
**{f"uint{i}": i for i in (8, 16, 32, 64)},
"bfloat16": 16,
"bool": 1,
}
def dtype_size(dtype):
size = DTYPE_TO_SIZE.get(dtype, None)
... | 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/utils/summary_utils_test.py | keras/src/utils/summary_utils_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import layers
from keras.src import models
from keras.src import ops
from keras.src import testing
from keras.src.utils import summary_utils
class SummaryUtilsTest(testing.TestCase):
@parameterized.parameters([("adam",), (None... | 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/utils/progbar.py | keras/src/utils/progbar.py | import math
import os
import sys
import time
import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils import io_utils
@keras_export("keras.utils.Progbar")
class Progbar:
"""Displays a progress bar.
Args:
target: Total number of steps expected, None if unknown.
w... | 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/utils/text_dataset_utils.py | keras/src/utils/text_dataset_utils.py | import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils import dataset_utils
from keras.src.utils.grain_utils import make_string_batch
from keras.src.utils.module_utils import grain
from keras.src.utils.module_utils import tensorflow as tf
@keras_export(
[
"keras.utils.text_... | 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/utils/model_visualization.py | keras/src/utils/model_visualization.py | """Utilities related to model visualization."""
import os
import sys
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.utils import io_utils
try:
import pydot
except ImportError:
# pydot_ng and pydotplus are older forks of pydot
# which may still be used by some user... | 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/utils/naming_test.py | keras/src/utils/naming_test.py | from keras.src.testing import test_case
from keras.src.utils import naming
class NamingUtilsTest(test_case.TestCase):
def test_uniquify_unique_name(self):
name = "the_unique_name"
unique_name = naming.uniquify(name)
self.assertEqual(unique_name, name)
def test_auto_name(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/utils/python_utils_test.py | keras/src/utils/python_utils_test.py | import base64
import marshal
from keras.src import testing
from keras.src.utils import python_utils
class PythonUtilsTest(testing.TestCase):
def test_func_dump_and_load(self):
def my_function(x, y=1, **kwargs):
return x + y
serialized = python_utils.func_dump(my_function)
des... | 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/utils/dtype_utils_test.py | keras/src/utils/dtype_utils_test.py | from keras.src.backend.common.keras_tensor import KerasTensor
from keras.src.testing import test_case
from keras.src.utils import dtype_utils
class DtypeSizeTests(test_case.TestCase):
def test_bfloat16_dtype_size(self):
self.assertEqual(dtype_utils.dtype_size("bfloat16"), 16)
def test_float16_dtype_s... | 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/utils/rng_utils.py | keras/src/utils/rng_utils.py | import random
import numpy as np
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
from keras.src.random import seed_generator
from keras.src.utils.module_utils import tensorflow as tf
GLOBAL_RANDOM_SEED = "global_random_seed"
@keras_expor... | 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/callbacks/backup_and_restore.py | keras/src/callbacks/backup_and_restore.py | import json
from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
from keras.src.utils import file_utils
@keras_export("keras.callbacks.BackupAndRestore")
class BackupAndRestore(Callback):
"""Callback to back up and restore the training state.
`BackupAndRestore` cal... | 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/callbacks/history.py | keras/src/callbacks/history.py | from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
@keras_export("keras.callbacks.History")
class History(Callback):
"""Callback that records events into a `History` object.
This callback is automatically applied to
every Keras model. The `History` object
... | 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/callbacks/backup_and_restore_test.py | keras/src/callbacks/backup_and_restore_test.py | import numpy as np
import pytest
from keras.src import callbacks
from keras.src import layers
from keras.src import testing
from keras.src.models import Sequential
from keras.src.utils import file_utils
class InterruptingCallback(callbacks.Callback):
"""A callback to intentionally interrupt training."""
def... | 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/callbacks/terminate_on_nan.py | keras/src/callbacks/terminate_on_nan.py | import numpy as np
from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
from keras.src.utils import io_utils
@keras_export("keras.callbacks.TerminateOnNaN")
class TerminateOnNaN(Callback):
"""Callback that terminates training when a NaN loss is encountered.
This ca... | 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/callbacks/reduce_lr_on_plateau_test.py | keras/src/callbacks/reduce_lr_on_plateau_test.py | import pytest
from keras.src import callbacks
from keras.src import layers
from keras.src import optimizers
from keras.src import testing
from keras.src.models import Sequential
from keras.src.testing import test_utils
from keras.src.utils import io_utils
from keras.src.utils import numerical_utils
class ReduceLROnP... | 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/callbacks/swap_ema_weights_test.py | keras/src/callbacks/swap_ema_weights_test.py | import os.path
import tempfile
import pytest
import tensorflow as tf
from tensorflow.python.eager import context
from keras.src import backend
from keras.src import callbacks
from keras.src import layers
from keras.src import losses
from keras.src import metrics
from keras.src import optimizers
from keras.src import ... | 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/callbacks/remote_monitor_test.py | keras/src/callbacks/remote_monitor_test.py | import warnings
from unittest import mock
import numpy as np
from conftest import skip_if_backend
from keras.src import backend
from keras.src import callbacks
from keras.src import layers
from keras.src import testing
from keras.src.models import Sequential
from keras.src.utils import numerical_utils
try:
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/callbacks/model_checkpoint.py | keras/src/callbacks/model_checkpoint.py | import os
import re
import warnings
import numpy as np
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.callbacks.monitor_callback import MonitorCallback
from keras.src.utils import file_utils
from keras.src.utils import io_utils
@keras_export("keras.callbacks.ModelCheckpoi... | 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/callbacks/terminate_on_nan_test.py | keras/src/callbacks/terminate_on_nan_test.py | import os
import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import callbacks
from keras.src import initializers
from keras.src import layers
from keras.src import models
from keras.src import testing
from keras.src.callbacks import BackupAndRestore
from keras.src.callbacks import ... | 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/callbacks/callback_list.py | keras/src/callbacks/callback_list.py | import concurrent.futures
from keras.src import backend
from keras.src import tree
from keras.src import utils
from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
from keras.src.callbacks.history import History
from keras.src.callbacks.progbar_logger import ProgbarLogger
fro... | 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/callbacks/tensorboard_test.py | keras/src/callbacks/tensorboard_test.py | import collections
import os
import random
import sys
import numpy as np
import pytest
import tensorflow.summary as summary
from tensorflow.compat.v1 import SummaryMetadata
from tensorflow.core.util import event_pb2
from tensorflow.python.lib.io import tf_record
from keras.src import backend
from keras.src import cal... | 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/callbacks/callback.py | keras/src/callbacks/callback.py | from keras.src import backend
from keras.src import utils
from keras.src.api_export import keras_export
@keras_export("keras.callbacks.Callback")
class Callback:
"""Base class used to build new callbacks.
Callbacks can be passed to keras methods such as `fit()`, `evaluate()`, and
`predict()` in order to ... | 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/callbacks/monitor_callback.py | keras/src/callbacks/monitor_callback.py | import warnings
from keras.src import ops
from keras.src.callbacks.callback import Callback
from keras.src.trainers import compile_utils
class MonitorCallback(Callback):
"""Base class for callbacks that monitor a quantity and evaluates
improvements.
This class provides common functionality for callbacks... | 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/callbacks/early_stopping_test.py | keras/src/callbacks/early_stopping_test.py | import numpy as np
import pytest
from keras.src import callbacks
from keras.src import layers
from keras.src import metrics
from keras.src import models
from keras.src import ops
from keras.src import testing
class EarlyStoppingTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_early_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/callbacks/monitor_callback_test.py | keras/src/callbacks/monitor_callback_test.py | import numpy as np
import pytest
from keras.src import callbacks
from keras.src import layers
from keras.src import metrics
from keras.src import models
from keras.src import ops
from keras.src import testing
class MonitorCallbackTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_monito... | 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/callbacks/tensorboard.py | keras/src/callbacks/tensorboard.py | import logging
import os
import sys
import time
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.callbacks.callback import Callback
from keras.src.layers import Embedding
from keras.src.optimizers import Opti... | 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/callbacks/orbax_checkpoint_test.py | keras/src/callbacks/orbax_checkpoint_test.py | import os
import numpy as np
import pytest
from keras.src import layers
from keras.src import models
from keras.src import testing
from keras.src.callbacks.orbax_checkpoint import OrbaxCheckpoint
from keras.src.utils.module_utils import ocp
# Import advanced Orbax functionality directly from the LazyModule
Checkpoin... | 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/callbacks/progbar_logger.py | keras/src/callbacks/progbar_logger.py | from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
from keras.src.utils import io_utils
from keras.src.utils.progbar import Progbar
@keras_export("keras.callbacks.ProgbarLogger")
class ProgbarLogger(Callback):
"""Callback that prints metrics to stdout.
Args:
... | 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/callbacks/lambda_callback.py | keras/src/callbacks/lambda_callback.py | from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
@keras_export("keras.callbacks.LambdaCallback")
class LambdaCallback(Callback):
"""Callback for creating simple, custom callbacks on-the-fly.
This callback is constructed with anonymous functions that will be call... | 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/callbacks/learning_rate_scheduler.py | keras/src/callbacks/learning_rate_scheduler.py | import numpy as np
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
from keras.src.utils import io_utils
@keras_export("keras.callbacks.LearningRateScheduler")
class LearningRateScheduler(Callback):
"""Learning rate scheduler.
At t... | 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/callbacks/swap_ema_weights.py | keras/src/callbacks/swap_ema_weights.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
@keras_export("keras.callbacks.SwapEMAWeights")
class SwapEMAWeights(Callback):
"""Swaps model weights and EMA weights before and after evaluation.
This call... | 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/callbacks/__init__.py | keras/src/callbacks/__init__.py | from keras.src.callbacks.backup_and_restore import BackupAndRestore
from keras.src.callbacks.callback import Callback
from keras.src.callbacks.callback_list import CallbackList
from keras.src.callbacks.csv_logger import CSVLogger
from keras.src.callbacks.early_stopping import EarlyStopping
from keras.src.callbacks.hist... | 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/callbacks/csv_logger_test.py | keras/src/callbacks/csv_logger_test.py | import csv
import os
import re
import tempfile
import numpy as np
import pytest
from keras.src import callbacks
from keras.src import initializers
from keras.src import layers
from keras.src import testing
from keras.src.models import Sequential
from keras.src.utils import numerical_utils
TRAIN_SAMPLES = 10
TEST_SAM... | 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/callbacks/orbax_checkpoint.py | keras/src/callbacks/orbax_checkpoint.py | import warnings
import numpy as np
from keras.src import backend
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.callbacks.monitor_callback import (
MonitorCallback, # For metric monitoring logic
)
from keras.src.utils.io_utils import print_msg
from keras.src.utils.module_... | 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/callbacks/early_stopping.py | keras/src/callbacks/early_stopping.py | import warnings
from keras.src.api_export import keras_export
from keras.src.callbacks.monitor_callback import MonitorCallback
from keras.src.utils import io_utils
@keras_export("keras.callbacks.EarlyStopping")
class EarlyStopping(MonitorCallback):
"""Stop training when a monitored metric has stopped improving.
... | 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/callbacks/lambda_callback_test.py | keras/src/callbacks/lambda_callback_test.py | import numpy as np
import pytest
from absl import logging
from keras.src import callbacks
from keras.src import layers
from keras.src import losses
from keras.src import optimizers
from keras.src import testing
from keras.src.models.sequential import Sequential
class LambdaCallbackTest(testing.TestCase):
@pytest... | 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/callbacks/reduce_lr_on_plateau.py | keras/src/callbacks/reduce_lr_on_plateau.py | import warnings
import numpy as np
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.callbacks.monitor_callback import MonitorCallback
from keras.src.utils import io_utils
@keras_export("keras.callbacks.ReduceLROnPlateau")
class ReduceLROnPlateau(MonitorCallback):
"""Red... | 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/callbacks/remote_monitor.py | keras/src/callbacks/remote_monitor.py | import json
import warnings
import numpy as np
from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
try:
import requests
except ImportError:
requests = None
@keras_export("keras.callbacks.RemoteMonitor")
class RemoteMonitor(Callback):
"""Callback used to strea... | 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/callbacks/csv_logger.py | keras/src/callbacks/csv_logger.py | import collections
import csv
import numpy as np
from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
from keras.src.utils import file_utils
@keras_export("keras.callbacks.CSVLogger")
class CSVLogger(Callback):
"""Callback that streams epoch results to a CSV file.
... | 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/callbacks/model_checkpoint_test.py | keras/src/callbacks/model_checkpoint_test.py | import os
import warnings
import pytest
from keras.src import callbacks
from keras.src import layers
from keras.src import metrics
from keras.src import models
from keras.src import saving
from keras.src import testing
from keras.src.models import Sequential
from keras.src.testing import test_utils
from keras.src.uti... | 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/callbacks/learning_rate_scheduler_test.py | keras/src/callbacks/learning_rate_scheduler_test.py | import pytest
from keras.src import callbacks
from keras.src import layers
from keras.src import optimizers
from keras.src import testing
from keras.src.models import Sequential
from keras.src.testing import test_utils
from keras.src.utils import io_utils
from keras.src.utils import numerical_utils
class LearningRat... | 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/callbacks/callback_test.py | keras/src/callbacks/callback_test.py | import numpy as np
import pytest
from keras.src import models
from keras.src import testing
from keras.src.callbacks.callback import Callback
class CallbackTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_model_state_is_current_on_epoch_end(self):
class TestModel(models.Model)... | 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/backend/config.py | keras/src/backend/config.py | import json
import os
from keras.src.api_export import keras_export
# The type of float to use throughout a session.
_FLOATX = "float32"
# Epsilon fuzz factor used throughout the codebase.
_EPSILON = 1e-7
# Default image data format, one of "channels_last", "channels_first".
_IMAGE_DATA_FORMAT = "channels_last"
# ... | 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/backend/__init__.py | keras/src/backend/__init__.py | from keras.src.backend.config import backend
if backend() == "torch":
# When using the torch backend,
# torch needs to be imported first, otherwise it will segfault
# upon import.
import torch
from keras.src.api_export import keras_export
from keras.src.backend.common.dtypes import result_type
from ke... | 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/backend/jax/image.py | keras/src/backend/jax/image.py | import functools
import jax
import jax.numpy as jnp
from keras.src import backend
from keras.src.backend.jax.core import convert_to_tensor
from keras.src.random.seed_generator import draw_seed
RESIZE_INTERPOLATIONS = (
"bilinear",
"nearest",
"lanczos3",
"lanczos5",
"bicubic",
)
AFFINE_TRANSFORM_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/backend/jax/layer.py | keras/src/backend/jax/layer.py | from keras.src.backend.config import is_nnx_enabled
if is_nnx_enabled():
from flax import nnx
class BaseLayer(nnx.Module):
def __init_subclass__(cls, **kwargs):
super().__init_subclass__(pytree=False, **kwargs)
else:
BaseLayer = object
class JaxLayer(BaseLayer):
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/backend/jax/export.py | keras/src/backend/jax/export.py | import copy
import inspect
import itertools
import string
import warnings
from keras.src import tree
from keras.src.backend.common.stateless_scope import StatelessScope
from keras.src.utils.module_utils import tensorflow as tf
class JaxExportArchive:
def __init__(self):
self._backend_variables = []
... | 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/backend/jax/distribution_lib.py | keras/src/backend/jax/distribution_lib.py | """Utilities for distribution strategy with JAX backend."""
import jax
import numpy as np
from keras.src.backend.common import global_state
from keras.src.random import seed_generator
from keras.src.utils import jax_utils
from keras.src.utils import rng_utils
def list_devices(device_type=None):
"""Return all 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/backend/jax/optimizer.py | keras/src/backend/jax/optimizer.py | """A class for JAX specific optimizer logic.
Its purpose is to route around statelessness
requirements in cond ops used for EMA handling
and gradient accumulation handling. We do this
by skipping conditionals entirely.
"""
import jax
from jax import numpy as jnp
from keras.src.optimizers import base_optimizer
clas... | 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/backend/jax/rnn.py | keras/src/backend/jax/rnn.py | import contextlib
from jax import lax
from jax import numpy as jnp
from keras.src import tree
from keras.src.backend.common import stateless_scope
def rnn(
step_function,
inputs,
initial_states,
go_backwards=False,
mask=None,
constants=None,
unroll=False,
input_length=None,
time_... | 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/backend/jax/core.py | keras/src/backend/jax/core.py | import jax
import jax.experimental.sparse as jax_sparse
import jax.numpy as jnp
import ml_dtypes
import numpy as np
from jax import export as jax_export
from keras.src import tree
from keras.src.backend import config
from keras.src.backend.common import KerasVariable
from keras.src.backend.common import global_state
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/backend/jax/nn.py | keras/src/backend/jax/nn.py | import builtins
import inspect
import math
import jax
import jax.experimental.sparse as jax_sparse
import jax.numpy as jnp
from absl import logging
from jax import lax
from jax import nn as jnn
from jax.experimental.pallas.ops.tpu.splash_attention import (
splash_attention_kernel,
)
from jax.experimental.pallas.op... | 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/backend/jax/linalg.py | keras/src/backend/jax/linalg.py | import jax
import jax.numpy as jnp
import jax.scipy as jsp
from keras.src.backend import config
from keras.src.backend import standardize_dtype
from keras.src.backend.common import dtypes
from keras.src.backend.jax.core import cast
from keras.src.backend.jax.core import convert_to_tensor
def cholesky(a, upper=False)... | 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/backend/jax/tensorboard.py | keras/src/backend/jax/tensorboard.py | from keras.src.utils.module_utils import jax
def start_trace(logdir):
if logdir:
jax.profiler.start_trace(logdir)
def stop_trace(save):
if save:
jax.profiler.stop_trace()
def start_batch_trace(batch):
batch_trace_context = jax.profiler.TraceAnnotation(
f"Profiled batch {batch}"... | 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/backend/jax/numpy.py | keras/src/backend/jax/numpy.py | import builtins
import math
import jax.experimental.sparse as jax_sparse
import jax.numpy as jnp
from jax import export as jax_export
from keras.src.backend import config
from keras.src.backend.common import dtypes
from keras.src.backend.common.backend_utils import canonicalize_axis
from keras.src.backend.common.back... | 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/backend/jax/trainer.py | keras/src/backend/jax/trainer.py | import collections
import itertools
import warnings
from functools import partial
import jax
import numpy as np
from keras.src import backend
from keras.src import callbacks as callbacks_module
from keras.src import optimizers as optimizers_module
from keras.src import tree
from keras.src.backend import config
from k... | 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/backend/jax/random.py | keras/src/backend/jax/random.py | import jax
from keras.src.backend.config import floatx
from keras.src.random.seed_generator import SeedGenerator
from keras.src.random.seed_generator import draw_seed
from keras.src.random.seed_generator import make_default_seed
def jax_draw_seed(seed):
if isinstance(seed, jax.Array):
return seed
els... | 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/backend/jax/__init__.py | keras/src/backend/jax/__init__.py | from keras.src.backend.config import is_nnx_enabled
from keras.src.backend.jax import core
from keras.src.backend.jax import distribution_lib
from keras.src.backend.jax import image
from keras.src.backend.jax import linalg
from keras.src.backend.jax import math
from keras.src.backend.jax import nn
from keras.src.backen... | 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/backend/jax/distribution_lib_test.py | keras/src/backend/jax/distribution_lib_test.py | """Test for distribution_lib.py."""
import functools
import os
from unittest import mock
import jax
import numpy as np
import pytest
from jax.experimental import layout as jax_layout
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import testing
from keras.src.b... | 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/backend/jax/sparse.py | keras/src/backend/jax/sparse.py | import functools
import jax.experimental.sparse as jax_sparse
import jax.numpy as jnp
from keras.src.utils import jax_utils
def axis_shape_dims_for_broadcast_in_dim(axis, input_shape, insert_dims):
"""Turn the `axis` argument to the arguments needed by `broadcast_in_dim`.
Args:
axis: single int 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/backend/jax/math.py | keras/src/backend/jax/math.py | import math
import jax
import jax.numpy as jnp
from keras.src.backend import config
from keras.src.backend import standardize_dtype
from keras.src.backend.common import dtypes
from keras.src.backend.jax.core import cast
from keras.src.backend.jax.core import convert_to_tensor
from keras.src.utils.module_utils import ... | 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/backend/jax/core_test.py | keras/src/backend/jax/core_test.py | import os
import jax
import jax.numpy as jnp
import numpy as np
import pytest
import keras
from keras.src import backend
from keras.src import testing
from keras.src.backend.config import is_nnx_enabled
if is_nnx_enabled():
from flax import nnx
from keras.src.backend.jax.core import NnxVariable
@pytest.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/backend/tests/compute_output_spec_test.py | keras/src/backend/tests/compute_output_spec_test.py | import unittest
import pytest
from keras.src import backend
from keras.src import ops
from keras.src.backend.common.keras_tensor import KerasTensor
def single_arg_test_fn(x):
return ops.concatenate([(x + 1) ** 2, x], axis=-1)
def three_args_2_kwarg_test_fn(x1, x2, x3=None):
x1 = ops.max(x1, axis=1)
x2... | 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/backend/tests/device_scope_test.py | keras/src/backend/tests/device_scope_test.py | import pytest
from keras.src import backend
from keras.src import testing
class DeviceTest(testing.TestCase):
@pytest.mark.skipif(backend.backend() != "tensorflow", reason="tf only")
def test_tf_device_scope(self):
import tensorflow as tf
if not tf.config.list_physical_devices("GPU"):
... | 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/backend/tensorflow/image.py | keras/src/backend/tensorflow/image.py | import functools
import itertools
import operator
import numpy as np
import tensorflow as tf
from keras.src import backend
from keras.src.backend.tensorflow.core import convert_to_tensor
from keras.src.backend.tensorflow.numpy import moveaxis
from keras.src.random.seed_generator import draw_seed
RESIZE_INTERPOLATION... | 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/backend/tensorflow/layer.py | keras/src/backend/tensorflow/layer.py | import tensorflow as tf
from keras.src import tree
from keras.src.backend.tensorflow.trackable import KerasAutoTrackable
from keras.src.utils import tf_utils
from keras.src.utils import tracking
class TFLayer(KerasAutoTrackable):
def __init__(self, *args, **kwargs):
# Export-related attributes
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/backend/tensorflow/export.py | keras/src/backend/tensorflow/export.py | import tensorflow as tf
class TFExportArchive:
def _track_layer(self, layer):
# Variables in the lists below are actually part of the trackables
# that get saved, because the lists are created in __init__.
variables = layer.variables
trainable_variables = layer.trainable_variables
... | 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/backend/tensorflow/distribution_lib.py | keras/src/backend/tensorflow/distribution_lib.py | """!!!DO NOT USE!!!
Distribution related class for Tensorflow backend.
This is just a prototype and we might want to unify it
with other backends in the future.
"""
import tensorflow as tf
from tensorflow.experimental import dtensor
def list_devices(device_type=None):
"""Return all the available devices 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/backend/tensorflow/distribute_test.py | keras/src/backend/tensorflow/distribute_test.py | """Tests for tf.distribute related functionality under tf implementation."""
import numpy as np
import pytest
import tensorflow as tf
from tensorflow.python.eager import context
import keras
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import testing
from kera... | 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/backend/tensorflow/optimizer.py | keras/src/backend/tensorflow/optimizer.py | """A class for Tensorflow specific optimizer logic.
The major behavior change for this class is for tf.distribute.
It will override methods from base Keras core Optimizer,
which provide distribute specific functionality, e.g. variable
creation, loss reduction, etc.
"""
import warnings
import tensorflow as tf
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/backend/tensorflow/rnn.py | keras/src/backend/tensorflow/rnn.py | import tensorflow as tf
from keras.src import tree
def rnn(
step_function,
inputs,
initial_states,
go_backwards=False,
mask=None,
constants=None,
unroll=False,
input_length=None,
time_major=False,
zero_output_for_mask=False,
return_all_outputs=True,
):
"""Iterates over... | 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/backend/tensorflow/core.py | keras/src/backend/tensorflow/core.py | import builtins
import numpy as np
import tensorflow as tf
from tensorflow.compiler.tf2xla.python.xla import dynamic_update_slice
from keras.src import tree
from keras.src.backend.common import KerasVariable
from keras.src.backend.common import global_state
from keras.src.backend.common import is_int_dtype
from 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/backend/tensorflow/nn.py | keras/src/backend/tensorflow/nn.py | import math
import warnings
import tensorflow as tf
from keras.src import backend
from keras.src.backend.common.backend_utils import (
compute_adaptive_pooling_window_sizes,
)
from keras.src.backend.common.backend_utils import (
compute_conv_transpose_output_shape,
)
from keras.src.backend.tensorflow.core imp... | 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/backend/tensorflow/linalg.py | keras/src/backend/tensorflow/linalg.py | import tensorflow as tf
from keras.src.backend import config
from keras.src.backend import standardize_dtype
from keras.src.backend.common import dtypes
from keras.src.backend.tensorflow.core import cast
from keras.src.backend.tensorflow.core import convert_to_tensor
def cholesky(a, upper=False):
out = tf.linalg... | 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/backend/tensorflow/tensorboard.py | keras/src/backend/tensorflow/tensorboard.py | from keras.src.utils.module_utils import tensorflow as tf
def start_trace(logdir):
tf.profiler.experimental.start(logdir=logdir)
def stop_trace(save):
tf.profiler.experimental.stop(save=save)
def start_batch_trace(batch):
batch_trace_context = tf.profiler.experimental.Trace(
"Profiled batch", ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
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