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/backend/tensorflow/numpy.py | keras/src/backend/tensorflow/numpy.py | import builtins
import collections
import functools
import math
import string
import warnings
import numpy as np
import tensorflow as tf
from tensorflow.python.ops.linalg.sparse import sparse_csr_matrix_ops
from tensorflow.python.ops.math_ops import is_nan
from keras.src import tree
from keras.src.backend import conf... | 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/trackable.py | keras/src/backend/tensorflow/trackable.py | import tensorflow as tf
from keras.src.utils import tracking
class KerasAutoTrackable(tf.__internal__.tracking.AutoTrackable):
"""Manages dependencies on other objects with Keras tracking.
Similar to TF AutoTrackable, but disabling tracking is based
on tracking within Keras.
This serves as an 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/backend/tensorflow/trainer.py | keras/src/backend/tensorflow/trainer.py | import contextlib
import functools
import warnings
import numpy as np
import tensorflow as tf
from tensorflow.python.eager import context as tf_context
from keras.src import callbacks as callbacks_module
from keras.src import metrics as metrics_module
from keras.src import optimizers as optimizers_module
from keras.s... | 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/name_scope_test.py | keras/src/backend/tensorflow/name_scope_test.py | import tensorflow as tf
from keras.src.backend.tensorflow.core import name_scope
from keras.src.testing import TestCase
class TFNameScopeTest(TestCase):
def test_stacking(self):
self.assertEqual(tf.Variable(0, name="x").name, "x:0")
with name_scope("outer") as outer:
self.assertEqual(... | python | 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/random.py | keras/src/backend/tensorflow/random.py | import tensorflow as tf
from keras.src.backend.common import standardize_dtype
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 _cast_seed(seed)... | python | 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/saved_model_test.py | keras/src/backend/tensorflow/saved_model_test.py | """Tests for SavedModel functionality under tf implementation."""
import os
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
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/tensorflow/__init__.py | keras/src/backend/tensorflow/__init__.py | from keras.src.backend.tensorflow import core
from keras.src.backend.tensorflow import distribution_lib
from keras.src.backend.tensorflow import image
from keras.src.backend.tensorflow import linalg
from keras.src.backend.tensorflow import math
from keras.src.backend.tensorflow import nn
from keras.src.backend.tensorfl... | python | 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/sparse.py | keras/src/backend/tensorflow/sparse.py | import functools
import tensorflow as tf
ones_bool = functools.partial(tf.ones, dtype=tf.bool)
ones_int8 = functools.partial(tf.ones, dtype=tf.int8)
zeros_int8 = functools.partial(tf.zeros, dtype=tf.int8)
ones_like_int8 = functools.partial(tf.ones_like, dtype=tf.int8)
zeros_like_int8 = functools.partial(tf.zeros_like... | python | 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_distribute_test.py | keras/src/backend/tensorflow/optimizer_distribute_test.py | # flake8: noqa
import numpy as np
import pytest
import tensorflow as tf
from absl.testing import parameterized
from tensorflow.python.eager import context
from keras.src import backend
from keras.src import testing
from keras.src.optimizers.sgd import SGD
@pytest.mark.skipif(
backend.backend() != "tensorflow",
... | python | 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/math.py | keras/src/backend/tensorflow/math.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 segment_sum(data, segment_ids, num_segments=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/backend/common/stateless_scope_test.py | keras/src/backend/common/stateless_scope_test.py | import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.backend.common.stateless_scope import StatelessScope
class TestStatelessScope(testing.TestCase):
def test_basic_flow(self):
var1 = backend.Variable(np.zeros((2,)))
var2 = 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/common/keras_tensor.py | keras/src/backend/common/keras_tensor.py | from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.utils.naming import auto_name
@keras_export("keras.KerasTensor")
class KerasTensor:
"""Symbolic tensor -- encapsulates a shape and a dtype.
You can use `KerasTensor` instances to build computation
graphs of Keras oper... | python | 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/common/symbolic_scope_test.py | keras/src/backend/common/symbolic_scope_test.py | import numpy as np
from keras.src import ops
from keras.src import testing
from keras.src.backend.common.symbolic_scope import SymbolicScope
from keras.src.backend.common.symbolic_scope import in_symbolic_scope
class TestSymbolicScope(testing.TestCase):
def test_basic_flow(self):
# Define a function that... | python | 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/common/masking.py | keras/src/backend/common/masking.py | from keras.src.backend.common.tensor_attributes import get_tensor_attr
from keras.src.backend.common.tensor_attributes import set_tensor_attr
def set_keras_mask(x, mask):
"""Sets the Keras mask attribute for the given tensor in-place.
Args:
x: Input tensor.
mask: The mask tensor to be set. If... | python | 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/common/backend_utils.py | keras/src/backend/common/backend_utils.py | import functools
import math
import operator
import re
import warnings
def _convert_conv_transpose_padding_args_from_keras_to_jax(
kernel_size, stride, dilation_rate, padding, output_padding
):
"""Convert the padding arguments from Keras to the ones used by JAX.
JAX starts with an shape of size `(input-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/backend/common/keras_tensor_test.py | keras/src/backend/common/keras_tensor_test.py | from unittest.mock import Mock
from unittest.mock import patch
import numpy as np
import tensorflow as tf
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.backend.common import keras_tensor
class KerasTensorTest(testing.TestCase):
def test_attributes(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/backend/common/thread_safe_test.py | keras/src/backend/common/thread_safe_test.py | import concurrent
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
class TestThreadSafe(testing.TestCase):
def test_is_thread_safe(self):
if backend.IS_THREAD_SAFE:
executor = concurrent.futures.ThreadPoolExecutor()
def sum... | python | 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/common/masking_test.py | keras/src/backend/common/masking_test.py | from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.backend.common.masking import get_keras_mask
from keras.src.backend.common.masking import set_keras_mask
class MaskingTest(testing.TestCase):
def test_mask_on_eager_tensor(self):
x = ops.zeros((2, 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/backend/common/compute_output_spec_test.py | keras/src/backend/common/compute_output_spec_test.py | import pytest
from keras.src import backend
from keras.src import testing
def example_fn(x):
x = (x + 2) * backend.numpy.ones_like(x)
x = backend.numpy.stack([x, x], axis=-1)
return x
class ComputeOutputSpecTest(testing.TestCase):
def test_basics(self):
out = backend.compute_output_spec(
... | python | 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/common/backend_utils_test.py | keras/src/backend/common/backend_utils_test.py | from keras.src.backend.common.backend_utils import (
_convert_conv_transpose_padding_args_from_keras_to_jax,
)
from keras.src.backend.common.backend_utils import (
_convert_conv_transpose_padding_args_from_keras_to_torch,
)
from keras.src.backend.common.backend_utils import (
_get_output_shape_given_tf_padd... | python | 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/common/remat_test.py | keras/src/backend/common/remat_test.py | import numpy as np
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import testing
from keras.src.backend.common import global_state
from keras.src.backend.common.remat import RematScope
from keras.src.backend.common.remat import get_current_remat_mode
from keras.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/backend/common/symbolic_scope.py | keras/src/backend/common/symbolic_scope.py | from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
@keras_export("keras.SymbolicScope")
class SymbolicScope:
"""Scope to indicate the symbolic stage."""
def __enter__(self):
self.original_scope = get_symbolic_scope()
global_state.set_global_attribu... | python | 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/common/variables_test.py | keras/src/backend/common/variables_test.py | import itertools
import numpy as np
import pytest
from absl.testing import parameterized
from conftest import skip_if_backend
from keras.src import backend
from keras.src import initializers
from keras.src import ops
from keras.src.backend.common import dtypes
from keras.src.backend.common.variables import AutocastSc... | 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/common/tensor_attributes.py | keras/src/backend/common/tensor_attributes.py | import weakref
from keras.src.backend.common import global_state
def _clear_tensor_attr(tensor_id, attr):
attr_dict = global_state.get_global_attribute(f"{attr}_dict")
if attr_dict is not None and tensor_id in attr_dict:
del attr_dict[tensor_id]
def set_tensor_attr(tensor, attr, value):
try:
... | python | 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/common/global_state.py | keras/src/backend/common/global_state.py | import gc
import threading
from keras.src import backend
from keras.src.api_export import keras_export
GLOBAL_STATE_TRACKER = threading.local()
GLOBAL_SETTINGS_TRACKER = threading.local()
def set_global_attribute(name, value):
setattr(GLOBAL_STATE_TRACKER, name, value)
def get_global_attribute(name, default=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/backend/common/dtypes_test.py | keras/src/backend/common/dtypes_test.py | from unittest.mock import patch
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import ops
from keras.src.backend.common import dtypes
from keras.src.testing import test_case
from keras.src.testing.test_utils import named_product
class DtypesTest(test_case.TestCase)... | python | 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/common/name_scope.py | keras/src/backend/common/name_scope.py | from keras.src.backend.common import global_state
class name_scope:
"""Creates a sub-namespace for variable paths.
Args:
name: Name of the current scope (string).
caller: Optional ID of a caller object (e.g. class instance).
deduplicate: If `True`, if `caller` was passed,
... | python | 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/common/name_scope_test.py | keras/src/backend/common/name_scope_test.py | import threading
from keras.src import testing
from keras.src.backend.common import global_state
from keras.src.backend.common.name_scope import current_path
from keras.src.backend.common.name_scope import name_scope
class NameScopeTest(testing.TestCase):
def test_stacking(self):
self.assertEqual(current... | python | 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/common/variables.py | keras/src/backend/common/variables.py | import numpy as np
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.backend import config
from keras.src.backend.common import dtypes
from keras.src.backend.common import global_state
from keras.src.backend.common.name_scope import current_path
from keras.src.backend.common.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/backend/common/__init__.py | keras/src/backend/common/__init__.py | from keras.src.backend.common import backend_utils
from keras.src.backend.common.dtypes import result_type
from keras.src.backend.common.variables import AutocastScope
from keras.src.backend.common.variables import Variable as KerasVariable
from keras.src.backend.common.variables import get_autocast_scope
from keras.sr... | python | 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/common/dtypes.py | keras/src/backend/common/dtypes.py | import functools
from keras.src.api_export import keras_export
from keras.src.backend import config
from keras.src.backend.common.variables import standardize_dtype
BOOL_TYPES = ("bool",)
INT_TYPES = (
"uint8",
"uint16",
"uint32",
"uint64",
"int8",
"int16",
"int32",
"int64",
)
FLOAT_TY... | python | 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/common/stateless_scope.py | keras/src/backend/common/stateless_scope.py | from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
@keras_export("keras.StatelessScope")
class StatelessScope:
"""Scope to prevent any update to Keras Variables.
The values of variables to be used inside the scope
should be passed via the `state_mapping` argum... | python | 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/common/global_state_test.py | keras/src/backend/common/global_state_test.py | from keras.src.backend.common import global_state
from keras.src.testing import test_case
from keras.src.utils.naming import auto_name
class GlobalStateTest(test_case.TestCase):
def test_clear_session(self):
name0 = auto_name("somename")
self.assertEqual(name0, "somename")
name1 = auto_nam... | python | 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/common/remat.py | keras/src/backend/common/remat.py | from collections import namedtuple
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
@keras_export("keras.RematScope")
class RematScope:
"""A context manager for enabling rematerialization in Keras.
Rematerialization (gradient check... | python | 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/numpy/image.py | keras/src/backend/numpy/image.py | import ml_dtypes
import numpy as np
from keras.src import backend
from keras.src.backend.numpy.core import convert_to_tensor
from keras.src.random.seed_generator import draw_seed
from keras.src.utils.module_utils import scipy
RESIZE_INTERPOLATIONS = (
"bilinear",
"nearest",
"lanczos3",
"lanczos5",
... | 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/numpy/layer.py | keras/src/backend/numpy/layer.py | class NumpyLayer:
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/numpy/export.py | keras/src/backend/numpy/export.py | class NumpyExportArchive:
def track(self, resource):
raise NotImplementedError(
"`track` is not implemented in the numpy backend."
)
def add_endpoint(self, name, fn, input_signature=None, **kwargs):
raise NotImplementedError(
"`add_endpoint` is not implemented in... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/backend/numpy/rnn.py | keras/src/backend/numpy/rnn.py | import numpy as np
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,
):
def swap_batch_timest... | python | 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/numpy/core.py | keras/src/backend/numpy/core.py | import builtins
import contextlib
import functools
import warnings
import numpy as np
from keras.src import tree
from keras.src.backend.common import KerasVariable
from keras.src.backend.common import standardize_dtype
from keras.src.backend.common.backend_utils import slice_along_axis
from keras.src.backend.common.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/backend/numpy/nn.py | keras/src/backend/numpy/nn.py | import jax
import numpy as np
from jax import lax
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_padding_args_for_jax,
)
from keras.src.backend.numpy.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/numpy/linalg.py | keras/src/backend/numpy/linalg.py | import numpy as np
import scipy.linalg as sl
from keras.src.backend import standardize_dtype
from keras.src.backend.common import dtypes
from keras.src.backend.numpy.core import convert_to_tensor
def cholesky(a, upper=False):
return np.linalg.cholesky(a, upper=upper)
def cholesky_inverse(a, upper=False):
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/numpy/numpy.py | keras/src/backend/numpy/numpy.py | import numpy as np
from keras.src import tree
from keras.src.backend import config
from keras.src.backend import standardize_dtype
from keras.src.backend.common import dtypes
from keras.src.backend.common.backend_utils import standardize_axis_for_numpy
from keras.src.backend.numpy.core import convert_to_tensor
def r... | 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/numpy/trainer.py | keras/src/backend/numpy/trainer.py | import numpy as np
from keras.src import backend
from keras.src import callbacks as callbacks_module
from keras.src import tree
from keras.src.backend.common import standardize_dtype
from keras.src.backend.common.keras_tensor import KerasTensor
from keras.src.backend.numpy.core import is_tensor
from keras.src.trainers... | python | 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/numpy/random.py | keras/src/backend/numpy/random.py | import numpy as np
from keras.src.backend.config import floatx
from keras.src.backend.numpy.nn import softmax
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 normal(shape, mean=0.0, stdde... | python | 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/numpy/__init__.py | keras/src/backend/numpy/__init__.py | from keras.src.backend.common.name_scope import name_scope
from keras.src.backend.numpy import core
from keras.src.backend.numpy import image
from keras.src.backend.numpy import linalg
from keras.src.backend.numpy import math
from keras.src.backend.numpy import nn
from keras.src.backend.numpy import numpy
from keras.sr... | python | 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/numpy/math.py | keras/src/backend/numpy/math.py | import numpy as np
from keras.src.backend import standardize_dtype
from keras.src.backend.common import dtypes
from keras.src.backend.jax.math import fft as jax_fft
from keras.src.backend.jax.math import fft2 as jax_fft2
from keras.src.backend.numpy.core import convert_to_tensor
from keras.src.utils.module_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/backend/openvino/image.py | keras/src/backend/openvino/image.py | def rgb_to_grayscale(images, data_format=None):
raise NotImplementedError(
"`rgb_to_grayscale` is not supported with openvino backend"
)
def resize(
image,
size,
interpolation="bilinear",
antialias=False,
crop_to_aspect_ratio=False,
pad_to_aspect_ratio=False,
fill_mode="con... | python | 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/openvino/layer.py | keras/src/backend/openvino/layer.py | class OpenvinoLayer:
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/openvino/export.py | keras/src/backend/openvino/export.py | class OpenvinoExportArchive:
def track(self, resource):
raise NotImplementedError(
"`track` is not implemented in the openvino backend."
)
def add_endpoint(self, name, fn, input_signature=None, **kwargs):
raise NotImplementedError(
"`add_endpoint` is not implemen... | python | 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/openvino/rnn.py | keras/src/backend/openvino/rnn.py | 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,
):
raise NotImplementedError("`rnn` is not supported with openvino 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/openvino/core.py | keras/src/backend/openvino/core.py | import builtins
import contextlib
import warnings
import numpy as np
import openvino as ov
import openvino.opset14 as ov_opset
from openvino import Model
from openvino import Tensor
from openvino import Type
from openvino import compile_model
from keras.src import tree
from keras.src.backend.common import KerasVariab... | 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/openvino/nn.py | keras/src/backend/openvino/nn.py | import openvino.opset14 as ov_opset
from openvino import Type
from keras.src import backend
from keras.src.backend.openvino.core import OPENVINO_DTYPES
from keras.src.backend.openvino.core import OpenVINOKerasTensor
from keras.src.backend.openvino.core import get_ov_output
def relu(x):
x = get_ov_output(x)
r... | python | 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/openvino/linalg.py | keras/src/backend/openvino/linalg.py | def cholesky(a, upper=False):
raise NotImplementedError(
"`cholesky` is not supported with openvino backend."
)
def cholesky_inverse(a, upper=False):
raise NotImplementedError(
"`cholesky_inverse` is not supported with openvino backend."
)
def det(a):
raise NotImplementedError("`... | python | 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/openvino/numpy.py | keras/src/backend/openvino/numpy.py | import numpy as np
import openvino.opset14 as ov_opset
from openvino import Type
from keras.src.backend import config
from keras.src.backend.common import dtypes
from keras.src.backend.common.variables import standardize_dtype
from keras.src.backend.openvino.core import DTYPES_MAX
from keras.src.backend.openvino.core ... | 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/openvino/trainer.py | keras/src/backend/openvino/trainer.py | import numpy as np
import openvino as ov
import openvino.opset14 as ov_opset
from keras.src import backend
from keras.src import callbacks as callbacks_module
from keras.src import tree
from keras.src.backend.openvino.core import OPENVINO_DTYPES
from keras.src.backend.openvino.core import OpenVINOKerasTensor
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/openvino/random.py | keras/src/backend/openvino/random.py | import numpy as np
import openvino.opset14 as ov_opset
from openvino import Type
from keras.src.backend.config import floatx
from keras.src.backend.openvino.core import OPENVINO_DTYPES
from keras.src.backend.openvino.core import OpenVINOKerasTensor
from keras.src.backend.openvino.core import convert_to_numpy
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/openvino/__init__.py | keras/src/backend/openvino/__init__.py | from keras.src.backend.common.name_scope import name_scope
from keras.src.backend.openvino import core
from keras.src.backend.openvino import image
from keras.src.backend.openvino import linalg
from keras.src.backend.openvino import math
from keras.src.backend.openvino import nn
from keras.src.backend.openvino import 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/backend/openvino/math.py | keras/src/backend/openvino/math.py | import openvino.opset14 as ov_opset
from openvino import Type
from keras.src.backend.openvino.core import OpenVINOKerasTensor
from keras.src.backend.openvino.core import get_ov_output
def segment_sum(data, segment_ids, num_segments=None, sorted=False):
raise NotImplementedError(
"`segment_sum` is not sup... | python | 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/torch/image.py | keras/src/backend/torch/image.py | import functools
import itertools
import operator
import numpy as np
import torch
import torch._dynamo as dynamo
import torch.nn.functional as F
from keras.src import backend
from keras.src.backend.torch.core import cast
from keras.src.backend.torch.core import convert_to_tensor
from keras.src.backend.torch.core impo... | 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/torch/layer.py | keras/src/backend/torch/layer.py | import torch
from keras.src.backend.common.stateless_scope import in_stateless_scope
from keras.src.ops.operation import Operation
class TorchLayer(torch.nn.Module):
@property
def torch_params(self):
if not hasattr(self, "_torch_params"):
self._track_variables()
return self._torch... | python | 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/torch/export.py | keras/src/backend/torch/export.py | import copy
import warnings
import torch
from keras.src import tree
from keras.src.export.export_utils import convert_spec_to_tensor
from keras.src.utils.module_utils import tensorflow as tf
from keras.src.utils.module_utils import torch_xla
class TorchExportArchive:
def _track_layer(self, layer):
raise... | python | 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/torch/rnn.py | keras/src/backend/torch/rnn.py | import numpy as np
import torch
from keras.src import tree
from keras.src.backend.torch.core import convert_to_tensor
from keras.src.backend.torch.core import get_device
def rnn(
step_function,
inputs,
initial_states,
go_backwards=False,
mask=None,
constants=None,
unroll=False,
input_... | python | 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/torch/core.py | keras/src/backend/torch/core.py | import builtins
import contextlib
import functools
import ml_dtypes
import numpy as np
import torch
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 standardize_dtype
from keras.src.backend.common.backe... | python | 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/torch/nn.py | keras/src/backend/torch/nn.py | import torch
import torch.nn.functional as tnn
from keras.src import backend
from keras.src.backend.common.backend_utils import (
compute_conv_transpose_padding_args_for_torch,
)
from keras.src.backend.torch.core import cast
from keras.src.backend.torch.core import convert_to_tensor
from keras.src.backend.torch.co... | 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/torch/linalg.py | keras/src/backend/torch/linalg.py | import torch
from keras.src.backend import config
from keras.src.backend import standardize_dtype
from keras.src.backend.common import dtypes
from keras.src.backend.torch.core import cast
from keras.src.backend.torch.core import convert_to_tensor
def cholesky(x, upper=False):
return torch.linalg.cholesky(x, uppe... | python | 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/torch/numpy.py | keras/src/backend/torch/numpy.py | import builtins
import math
import numpy as np
import torch
from keras.src.backend import KerasTensor
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.backend_utils import to_tuple_or_lis... | 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/torch/trainer.py | keras/src/backend/torch/trainer.py | import warnings
import numpy as np
import torch
from packaging.version import parse
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 keras.src.trainers import tra... | python | 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/torch/random.py | keras/src/backend/torch/random.py | import torch
import torch._dynamo as dynamo
import torch.nn.functional as tnn
from keras.src.backend.config import floatx
from keras.src.backend.torch.core import convert_to_tensor
from keras.src.backend.torch.core import get_device
from keras.src.backend.torch.core import to_torch_dtype
from keras.src.random.seed_gen... | python | 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/torch/__init__.py | keras/src/backend/torch/__init__.py | """Torch backend APIs.
# Note on device placement
Torch has a different device placement style compared to TF and JAX.
In short, variables/tensors are not created on GPU by default,
and the GPU cannot directly communicate with the CPU.
To bring Torch behavior in line with TF and JAX automated device placement,
we are... | python | 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/torch/math.py | keras/src/backend/torch/math.py | import math
import torch
from keras.src.backend import config
from keras.src.backend import standardize_dtype
from keras.src.backend.common import dtypes
from keras.src.backend.torch.core import cast
from keras.src.backend.torch.core import convert_to_tensor
from keras.src.backend.torch.core import get_device
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/torch/optimizers/torch_lion.py | keras/src/backend/torch/optimizers/torch_lion.py | import torch
from keras.src import ops
from keras.src import optimizers
from keras.src.backend.torch.optimizers import torch_parallel_optimizer
class Lion(torch_parallel_optimizer.TorchParallelOptimizer, optimizers.Lion):
def _parallel_update_step(
self,
grads,
variables,
learning... | python | 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/torch/optimizers/torch_nadam.py | keras/src/backend/torch/optimizers/torch_nadam.py | import torch
from keras.src import ops
from keras.src import optimizers
from keras.src.backend.torch import core
from keras.src.backend.torch.optimizers import torch_parallel_optimizer
class Nadam(torch_parallel_optimizer.TorchParallelOptimizer, optimizers.Nadam):
def _parallel_update_step(
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/backend/torch/optimizers/torch_adamax.py | keras/src/backend/torch/optimizers/torch_adamax.py | import torch
from keras.src import ops
from keras.src import optimizers
from keras.src.backend.torch.optimizers import torch_parallel_optimizer
class Adamax(
torch_parallel_optimizer.TorchParallelOptimizer, optimizers.Adamax
):
def _parallel_update_step(
self,
grads,
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/torch/optimizers/torch_rmsprop.py | keras/src/backend/torch/optimizers/torch_rmsprop.py | import torch
from keras.src import ops
from keras.src import optimizers
from keras.src.backend.torch.optimizers import torch_parallel_optimizer
class RMSprop(
torch_parallel_optimizer.TorchParallelOptimizer, optimizers.RMSprop
):
def _parallel_update_step(
self,
grads,
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/torch/optimizers/torch_sgd.py | keras/src/backend/torch/optimizers/torch_sgd.py | import torch
from keras.src import optimizers
from keras.src.backend.torch.optimizers import torch_parallel_optimizer
class SGD(torch_parallel_optimizer.TorchParallelOptimizer, optimizers.SGD):
def _parallel_update_step(
self,
grads,
variables,
learning_rate,
):
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/torch/optimizers/torch_optimizer.py | keras/src/backend/torch/optimizers/torch_optimizer.py | import torch
from keras.src import optimizers
from keras.src.optimizers.base_optimizer import BaseOptimizer
from keras.src.utils import torch_utils
class TorchOptimizer(BaseOptimizer):
def __new__(cls, *args, **kwargs):
# Import locally to avoid circular imports.
from keras.src.backend.torch.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/backend/torch/optimizers/torch_adagrad.py | keras/src/backend/torch/optimizers/torch_adagrad.py | import torch
from keras.src import ops
from keras.src import optimizers
from keras.src.backend.torch.optimizers import torch_parallel_optimizer
class Adagrad(
torch_parallel_optimizer.TorchParallelOptimizer, optimizers.Adagrad
):
def _parallel_update_step(
self,
grads,
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/torch/optimizers/torch_adamw.py | keras/src/backend/torch/optimizers/torch_adamw.py | from keras.src import optimizers
from keras.src.backend.torch.optimizers import torch_adam
class AdamW(torch_adam.Adam, optimizers.AdamW):
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/torch/optimizers/torch_adadelta.py | keras/src/backend/torch/optimizers/torch_adadelta.py | import torch
from keras.src import ops
from keras.src import optimizers
from keras.src.backend.torch.optimizers import torch_parallel_optimizer
class Adadelta(
torch_parallel_optimizer.TorchParallelOptimizer, optimizers.Adadelta
):
def _parallel_update_step(
self,
grads,
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/torch/optimizers/__init__.py | keras/src/backend/torch/optimizers/__init__.py | from keras.src.backend.torch.optimizers.torch_optimizer import TorchOptimizer
| python | 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/torch/optimizers/torch_adam.py | keras/src/backend/torch/optimizers/torch_adam.py | import torch
from keras.src import ops
from keras.src import optimizers
from keras.src.backend.torch.optimizers import torch_parallel_optimizer
class Adam(torch_parallel_optimizer.TorchParallelOptimizer, optimizers.Adam):
def _parallel_update_step(
self,
grads,
variables,
learning... | python | 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/torch/optimizers/torch_parallel_optimizer.py | keras/src/backend/torch/optimizers/torch_parallel_optimizer.py | import torch
from keras.src.optimizers.base_optimizer import BaseOptimizer
from keras.src.utils import torch_utils
class TorchParallelOptimizer(BaseOptimizer):
@torch_utils.no_grad
def _backend_update_step(self, grads, trainable_variables, learning_rate):
self._parallel_update_step(
grads... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/constraints/constraints_test.py | keras/src/constraints/constraints_test.py | import numpy as np
from keras.src import backend
from keras.src import constraints
from keras.src import testing
def get_example_array():
np.random.seed(3537)
example_array = np.random.random((100, 100)) * 100.0 - 50.0
example_array[0, 0] = 0.0 # Possible edge case
return example_array
class Const... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/constraints/constraints.py | keras/src/constraints/constraints.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
@keras_export("keras.constraints.Constraint")
class Constraint:
"""Base class for weight constraints.
A `Constraint` instance works like a stateless function.
Users who subclass this
class should ove... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/constraints/__init__.py | keras/src/constraints/__init__.py | import inspect
from keras.src.api_export import keras_export
from keras.src.constraints.constraints import Constraint
from keras.src.constraints.constraints import MaxNorm
from keras.src.constraints.constraints import MinMaxNorm
from keras.src.constraints.constraints import NonNeg
from keras.src.constraints.constraint... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/wrappers/sklearn_wrapper.py | keras/src/wrappers/sklearn_wrapper.py | import copy
import numpy as np
from keras.src.api_export import keras_export
from keras.src.models.cloning import clone_model
from keras.src.models.model import Model
from keras.src.wrappers.fixes import _routing_enabled
from keras.src.wrappers.fixes import _validate_data
from keras.src.wrappers.fixes import type_of_... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/wrappers/fixes.py | keras/src/wrappers/fixes.py | try:
import sklearn
except ImportError:
sklearn = None
def _validate_data(estimator, *args, **kwargs):
"""Validate the input data.
wrapper for sklearn.utils.validation.validate_data or
BaseEstimator._validate_data depending on the scikit-learn version.
TODO: remove when minimum scikit-learn ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/wrappers/utils.py | keras/src/wrappers/utils.py | import numpy as np
try:
import sklearn
from sklearn.base import BaseEstimator
from sklearn.base import TransformerMixin
except ImportError:
sklearn = None
class BaseEstimator:
pass
class TransformerMixin:
pass
def assert_sklearn_installed(symbol_name):
if sklearn is 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/wrappers/__init__.py | keras/src/wrappers/__init__.py | from keras.src.wrappers.sklearn_wrapper import SKLearnClassifier
from keras.src.wrappers.sklearn_wrapper import SKLearnRegressor
from keras.src.wrappers.sklearn_wrapper import SKLearnTransformer
__all__ = ["SKLearnClassifier", "SKLearnRegressor", "SKLearnTransformer"]
| python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/wrappers/sklearn_test.py | keras/src/wrappers/sklearn_test.py | """Tests using Scikit-Learn's bundled estimator_checks."""
import unittest
from contextlib import contextmanager
import pytest
import sklearn
from packaging.version import parse as parse_version
from sklearn.utils.estimator_checks import parametrize_with_checks
import keras
from keras.src.backend import floatx
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/distribution/distribution_lib.py | keras/src/distribution/distribution_lib.py | """Unified high-level distribution APIs across backends.
Currently only the JAX backend is supported. The TensorFlow backend
will be supported in the future (via tf.dtensor API).
"""
import collections
import contextlib
import os
import re
import warnings
import numpy as np
from keras.src.api_export import keras_ex... | 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/distribution/__init__.py | keras/src/distribution/__init__.py | from keras.src.distribution.distribution_lib import DataParallel
from keras.src.distribution.distribution_lib import DeviceMesh
from keras.src.distribution.distribution_lib import Distribution
from keras.src.distribution.distribution_lib import LayoutMap
from keras.src.distribution.distribution_lib import ModelParallel... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/distribution/distribution_lib_test.py | keras/src/distribution/distribution_lib_test.py | """Test for distribution_lib.py."""
import os
from unittest import mock
import numpy as np
import pytest
import tensorflow as tf
from keras.src import backend
from keras.src import testing
from keras.src.backend import distribution_lib as backend_dlib
from keras.src.distribution import distribution_lib
@pytest.mar... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/testing/test_utils_test.py | keras/src/testing/test_utils_test.py | import numpy as np
from absl.testing import parameterized
from keras.src.testing import test_case
from keras.src.testing import test_utils
class GetTestDataTest(test_case.TestCase):
def setUp(self):
self.train_samples = 100
self.test_samples = 50
self.input_shape = (28, 28)
self.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/testing/test_utils.py | keras/src/testing/test_utils.py | import numpy as np
def get_test_data(
train_samples, test_samples, input_shape, num_classes, random_seed=None
):
"""Generates balanced, stratified synthetic test data to train a model on.
Args:
train_samples: Integer, how many training samples to generate.
test_samples: Integer, how many ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/testing/test_case.py | keras/src/testing/test_case.py | import json
import shutil
import tempfile
import unittest
from pathlib import Path
import numpy as np
from absl.testing import parameterized
from keras.src import backend
from keras.src import distribution
from keras.src import ops
from keras.src import tree
from keras.src import utils
from keras.src.backend.common 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/testing/__init__.py | keras/src/testing/__init__.py | from keras.src.testing.test_case import TestCase
from keras.src.testing.test_case import jax_uses_gpu
from keras.src.testing.test_case import tensorflow_uses_gpu
from keras.src.testing.test_case import torch_uses_gpu
from keras.src.testing.test_case import uses_gpu
from keras.src.testing.test_case import uses_tpu
| python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/input_spec.py | keras/src/layers/input_spec.py | from keras.src import backend
from keras.src import tree
from keras.src.api_export import keras_export
@keras_export(["keras.InputSpec", "keras.layers.InputSpec"])
class InputSpec:
"""Specifies the rank, dtype and shape of every input to a layer.
Layers can expose (if appropriate) an `input_spec` attribute:
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/layers/layer.py | keras/src/layers/layer.py | """Layer is an Operation with state.
Takes care of:
- Weights / variables (and tracking thereof)
- deferred build
- trainable argument value inference
- masking
- autocasting
And some more magic:
- add_loss
- metric tracking
- RNG seed tracking
- activity regularization
"""
import collections
import functools
impo... | 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/layers/__init__.py | keras/src/layers/__init__.py | from keras.src.api_export import keras_export
from keras.src.layers.activations.activation import Activation
from keras.src.layers.activations.elu import ELU
from keras.src.layers.activations.leaky_relu import LeakyReLU
from keras.src.layers.activations.prelu import PReLU
from keras.src.layers.activations.relu import R... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
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