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/datasets/california_housing.py | keras/src/datasets/california_housing.py | """Boston housing price regression dataset."""
import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils.file_utils import get_file
@keras_export("keras.datasets.california_housing.load_data")
def load_data(
version="large", path="california_housing.npz", test_split=0.2, seed=113
):
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/datasets/__init__.py | keras/src/datasets/__init__.py | """Small NumPy datasets for debugging/testing."""
from keras.src.datasets import boston_housing
from keras.src.datasets import california_housing
from keras.src.datasets import cifar10
from keras.src.datasets import cifar100
from keras.src.datasets import fashion_mnist
from keras.src.datasets import imdb
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/datasets/cifar10.py | keras/src/datasets/cifar10.py | """CIFAR10 small images classification dataset."""
import os
import numpy as np
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.datasets.cifar import load_batch
from keras.src.utils.file_utils import get_file
@keras_export("keras.datasets.cifar10.load_data")
def load_data... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/datasets/reuters.py | keras/src/datasets/reuters.py | """Reuters topic classification dataset."""
import json
import numpy as np
from keras.src.api_export import keras_export
from keras.src.utils.file_utils import get_file
from keras.src.utils.python_utils import remove_long_seq
@keras_export("keras.datasets.reuters.load_data")
def load_data(
path="reuters.npz",
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/datasets/cifar.py | keras/src/datasets/cifar.py | """Utilities common to CIFAR10 and CIFAR100 datasets."""
import _pickle as cPickle
def load_batch(fpath, label_key="labels"):
"""Internal utility for parsing CIFAR data.
Args:
fpath: path the file to parse.
label_key: key for label data in the retrieve
dictionary.
Returns:
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/probabilistic_metrics_test.py | keras/src/metrics/probabilistic_metrics_test.py | import numpy as np
from keras.src import metrics
from keras.src import testing
class KLDivergenceTest(testing.TestCase):
def setup(self):
self.y_pred = np.asarray(
[0.4, 0.9, 0.12, 0.36, 0.3, 0.4], dtype=np.float32
).reshape((2, 3))
self.y_true = np.asarray(
[0.5, ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/accuracy_metrics.py | keras/src/metrics/accuracy_metrics.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.losses.loss import squeeze_or_expand_to_same_rank
from keras.src.metrics import reduction_metrics
def accuracy(y_true, y_pred):
y_pred = ops.convert_to_tensor(y_pred)
y_true = ops.convert_to_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/metrics/hinge_metrics.py | keras/src/metrics/hinge_metrics.py | from keras.src.api_export import keras_export
from keras.src.losses.losses import categorical_hinge
from keras.src.losses.losses import hinge
from keras.src.losses.losses import squared_hinge
from keras.src.metrics import reduction_metrics
@keras_export("keras.metrics.Hinge")
class Hinge(reduction_metrics.MeanMetricW... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/iou_metrics_test.py | keras/src/metrics/iou_metrics_test.py | import numpy as np
import pytest
from keras.src import layers
from keras.src import models
from keras.src import testing
from keras.src.metrics import iou_metrics as metrics
from keras.src.ops import convert_to_tensor
class IoUTest(testing.TestCase):
def test_config(self):
obj = metrics.IoU(
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/regression_metrics_test.py | keras/src/metrics/regression_metrics_test.py | import numpy as np
from absl.testing import parameterized
from keras.src import testing
from keras.src.metrics import regression_metrics as metrics
class MeanSquaredErrorTest(testing.TestCase):
def test_config(self):
# TODO
pass
def test_unweighted(self):
mse_obj = metrics.MeanSquare... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/probabilistic_metrics.py | keras/src/metrics/probabilistic_metrics.py | from keras.src.api_export import keras_export
from keras.src.losses.losses import binary_crossentropy
from keras.src.losses.losses import categorical_crossentropy
from keras.src.losses.losses import kl_divergence
from keras.src.losses.losses import poisson
from keras.src.losses.losses import sparse_categorical_crossent... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/f_score_metrics.py | keras/src/metrics/f_score_metrics.py | from keras.src import backend
from keras.src import initializers
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.metrics.metric import Metric
@keras_export("keras.metrics.FBetaScore")
class FBetaScore(Metric):
"""Computes F-Beta score.
Formula:
```python
b2 = 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/metrics/confusion_metrics_test.py | keras/src/metrics/confusion_metrics_test.py | import json
import numpy as np
import pytest
from absl import logging
from absl.testing import parameterized
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
from keras.src.metrics import metrics_utils
class FalsePositive... | 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/metrics/reduction_metrics.py | keras/src/metrics/reduction_metrics.py | from keras.src import backend
from keras.src import initializers
from keras.src import losses
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.metrics.metric import Metric
from keras.src.saving import serialization_lib
def reduce_to_samplewise_values(values, sample_weight, reduce... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/accuracy_metrics_test.py | keras/src/metrics/accuracy_metrics_test.py | import numpy as np
from keras.src import testing
from keras.src.metrics import accuracy_metrics
class AccuracyTest(testing.TestCase):
def test_config(self):
acc_obj = accuracy_metrics.Accuracy(name="accuracy", dtype="float32")
self.assertEqual(acc_obj.name, "accuracy")
self.assertEqual(le... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/reduction_metrics_test.py | keras/src/metrics/reduction_metrics_test.py | import numpy as np
from keras.src import backend
from keras.src import layers
from keras.src import metrics
from keras.src import models
from keras.src import testing
from keras.src.backend.common.keras_tensor import KerasTensor
from keras.src.metrics import reduction_metrics
from keras.src.saving import register_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/metrics/confusion_metrics.py | keras/src/metrics/confusion_metrics.py | import numpy as np
from keras.src import activations
from keras.src import backend
from keras.src import initializers
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.metrics import metrics_utils
from keras.src.metrics.metric import Metric
from keras.src.utils.python_utils import ... | 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/metrics/metric_test.py | keras/src/metrics/metric_test.py | import pickle
import numpy as np
from keras.src import backend
from keras.src import dtype_policies
from keras.src import initializers
from keras.src import metrics as metrics_module
from keras.src import ops
from keras.src import testing
from keras.src.metrics.metric import Metric
class ExampleMetric(Metric):
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/__init__.py | keras/src/metrics/__init__.py | import inspect
from keras.src.api_export import keras_export
from keras.src.metrics.accuracy_metrics import Accuracy
from keras.src.metrics.accuracy_metrics import BinaryAccuracy
from keras.src.metrics.accuracy_metrics import CategoricalAccuracy
from keras.src.metrics.accuracy_metrics import SparseCategoricalAccuracy
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/f_score_metrics_test.py | keras/src/metrics/f_score_metrics_test.py | import numpy as np
from absl.testing import parameterized
from keras.src import testing
from keras.src.metrics import f_score_metrics
class FBetaScoreTest(testing.TestCase):
def _run_test(
self,
y_true,
y_pred,
sample_weights,
average,
beta,
threshold,
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/iou_metrics.py | keras/src/metrics/iou_metrics.py | import warnings
from keras.src import backend
from keras.src import initializers
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.metrics.metric import Metric
from keras.src.metrics.metrics_utils import confusion_matrix
class _IoUBase(Metric):
"""Computes the confusion matri... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/metric.py | keras/src/metrics/metric.py | from keras.src import backend
from keras.src import dtype_policies
from keras.src import initializers
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.saving.keras_saveable import KerasSaveable
from keras.src.utils.naming import auto_name
from keras.src.utils.tracking import Tracke... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/regression_metrics.py | keras/src/metrics/regression_metrics.py | import warnings
from keras.src import initializers
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.losses.loss import squeeze_or_expand_to_same_rank
from keras.src.losses.losses import log_cosh
from keras.src.losses.losses import mean_absolute_error
from keras.src.losses.losses 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/metrics/correlation_metrics_test.py | keras/src/metrics/correlation_metrics_test.py | import numpy as np
from scipy.stats import pearsonr
from keras.src import testing
from keras.src.metrics import ConcordanceCorrelation
from keras.src.metrics import PearsonCorrelation
from keras.src.metrics import correlation_metrics
class CorrelationsTest(testing.TestCase):
def _get_data(self):
# Sample... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/metrics_utils.py | keras/src/metrics/metrics_utils.py | from enum import Enum
import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src.losses.loss import squeeze_or_expand_to_same_rank
from keras.src.utils.python_utils import to_list
NEG_INF = -1e10
def assert_thresholds_range(thresholds):
if thresholds is not None:
invalid_... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/metrics/correlation_metrics.py | keras/src/metrics/correlation_metrics.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.losses.loss import squeeze_or_expand_to_same_rank
from keras.src.metrics import reduction_metrics
@keras_export("keras.metrics.pearson_correlation")
def pearson_correlation(y_true, y_pred, 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/metrics/hinge_metrics_test.py | keras/src/metrics/hinge_metrics_test.py | import numpy as np
from keras.src import testing
from keras.src.metrics import hinge_metrics
class HingeTest(testing.TestCase):
def test_config(self):
hinge_obj = hinge_metrics.Hinge(name="hinge", dtype="int32")
self.assertEqual(hinge_obj.name, "hinge")
self.assertEqual(hinge_obj._dtype, ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/compile_utils_test.py | keras/src/trainers/compile_utils_test.py | from collections import namedtuple
import numpy as np
from absl.testing import parameterized
from keras.src import backend
from keras.src import metrics as losses_module
from keras.src import metrics as metrics_module
from keras.src import ops
from keras.src import testing
from keras.src import tree
from keras.src.tr... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/compile_utils.py | keras/src/trainers/compile_utils.py | from collections import namedtuple
from keras.src import losses as losses_module
from keras.src import metrics as metrics_module
from keras.src import ops
from keras.src import tree
from keras.src.backend.common.keras_tensor import KerasTensor
from keras.src.losses import loss as loss_module
from keras.src.utils.namin... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/epoch_iterator.py | keras/src/trainers/epoch_iterator.py | """
Separation of concerns:
DataAdapter:
- x, y
- sample_weight
- class_weight
- shuffle
- batch_size
- steps, as it relates to batch_size for array data
EpochIterator:
- whether to yield numpy or tf data
- steps
- most argument validation
Trainer:
- steps_per_execution
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/epoch_iterator_test.py | keras/src/trainers/epoch_iterator_test.py | import numpy as np
import pytest
import tensorflow as tf
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.trainers import data_adapters
from keras.src.trainers import epoch_iterator
class TestEpochIterator(testing.TestCase):
@parameterized.named_pa... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/trainer.py | keras/src/trainers/trainer.py | import inspect
import platform
import warnings
from keras.src import backend
from keras.src import metrics as metrics_module
from keras.src import ops
from keras.src import optimizers
from keras.src import tree
from keras.src.optimizers.loss_scale_optimizer import LossScaleOptimizer
from keras.src.saving import serial... | 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/trainers/__init__.py | keras/src/trainers/__init__.py | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false | |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/trainer_test.py | keras/src/trainers/trainer_test.py | from unittest import mock
import jax
import numpy as np
import pytest
from absl.testing import parameterized
import keras
from keras.src import backend
from keras.src import initializers
from keras.src import layers
from keras.src import losses
from keras.src import metrics
from keras.src import models
from keras.src... | 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/trainers/data_adapters/generator_data_adapter.py | keras/src/trainers/data_adapters/generator_data_adapter.py | import itertools
from keras.src import tree
from keras.src.trainers.data_adapters import data_adapter_utils
from keras.src.trainers.data_adapters.data_adapter import DataAdapter
class GeneratorDataAdapter(DataAdapter):
"""Adapter for Python generators."""
def __init__(self, generator):
first_batches... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/array_slicing.py | keras/src/trainers/data_adapters/array_slicing.py | import collections
import math
import numpy as np
from keras.src import backend
from keras.src import tree
from keras.src.trainers.data_adapters import data_adapter_utils
from keras.src.utils.module_utils import tensorflow as tf
try:
import pandas
except ImportError:
pandas = None
# Leave jax, tf, and torc... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/grain_dataset_adapter_test.py | keras/src/trainers/data_adapters/grain_dataset_adapter_test.py | import grain
import numpy as np
import tensorflow as tf
import torch
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.testing.test_utils import named_product
from keras.src.trainers.data_adapters import grain_dataset_adapter
class Range2DSource(grain.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/trainers/data_adapters/tf_dataset_adapter.py | keras/src/trainers/data_adapters/tf_dataset_adapter.py | from keras.src import tree
from keras.src.trainers.data_adapters import data_adapter_utils
from keras.src.trainers.data_adapters.data_adapter import DataAdapter
class TFDatasetAdapter(DataAdapter):
"""Adapter that handles `tf.data.Dataset`."""
def __init__(self, dataset, class_weight=None, distribution=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/trainers/data_adapters/py_dataset_adapter.py | keras/src/trainers/data_adapters/py_dataset_adapter.py | import itertools
import multiprocessing.dummy
import queue
import random
import threading
import warnings
import weakref
from contextlib import closing
import numpy as np
from keras.src.api_export import keras_export
from keras.src.trainers.data_adapters import data_adapter_utils
from keras.src.trainers.data_adapters... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/py_dataset_adapter_test.py | keras/src/trainers/data_adapters/py_dataset_adapter_test.py | import math
import time
import jax
import numpy as np
import pytest
import tensorflow as tf
import torch
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.testing.test_utils import named_product
from keras.src.trainers.data_adapters import py_dataset_ada... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/array_data_adapter_test.py | keras/src/trainers/data_adapters/array_data_adapter_test.py | import jax
import jax.experimental.sparse as jax_sparse
import numpy as np
import pandas
import scipy
import tensorflow as tf
import torch
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.testing.test_utils import named_product
from keras.src.trainers.da... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/tf_dataset_adapter_test.py | keras/src/trainers/data_adapters/tf_dataset_adapter_test.py | from unittest import mock
import jax
import numpy as np
import pytest
import tensorflow as tf
import torch
from keras.src import Sequential
from keras.src import backend
from keras.src import layers
from keras.src import testing
from keras.src.trainers.data_adapters import tf_dataset_adapter
class TestTFDatasetAdap... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/torch_data_loader_adapter.py | keras/src/trainers/data_adapters/torch_data_loader_adapter.py | import itertools
import numpy as np
from keras.src import tree
from keras.src.trainers.data_adapters import data_adapter_utils
from keras.src.trainers.data_adapters.data_adapter import DataAdapter
class TorchDataLoaderAdapter(DataAdapter):
"""Adapter that handles `torch.utils.data.DataLoader`."""
def __ini... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/torch_data_loader_adapter_test.py | keras/src/trainers/data_adapters/torch_data_loader_adapter_test.py | import math
import numpy as np
import tensorflow as tf
import torch
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.testing.test_utils import named_product
from keras.src.trainers.data_adapters.torch_data_loader_adapter import (
TorchDataLoaderAdap... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/__init__.py | keras/src/trainers/data_adapters/__init__.py | import types
from keras.src.distribution import distribution_lib
from keras.src.trainers.data_adapters import array_data_adapter
from keras.src.trainers.data_adapters import data_adapter
from keras.src.trainers.data_adapters import py_dataset_adapter
from keras.src.trainers.data_adapters.array_data_adapter import Arra... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/data_adapter.py | keras/src/trainers/data_adapters/data_adapter.py | class DataAdapter:
"""Base class for input data adapters.
The purpose of a DataAdapter is to provide a unified interface to
iterate over input data provided in a variety of formats -- such as
NumPy arrays, tf.Tensors, tf.data.Datasets, Keras PyDatasets, etc.
"""
def get_numpy_iterator(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/trainers/data_adapters/array_data_adapter.py | keras/src/trainers/data_adapters/array_data_adapter.py | import functools
import math
import numpy as np
from keras.src import tree
from keras.src.trainers.data_adapters import array_slicing
from keras.src.trainers.data_adapters import data_adapter_utils
from keras.src.trainers.data_adapters.data_adapter import DataAdapter
class ArrayDataAdapter(DataAdapter):
"""Adap... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/grain_dataset_adapter.py | keras/src/trainers/data_adapters/grain_dataset_adapter.py | import itertools
import numpy as np
from keras.src import tree
from keras.src.trainers.data_adapters import data_adapter_utils
from keras.src.trainers.data_adapters.data_adapter import DataAdapter
from keras.src.utils.module_utils import grain
from keras.src.utils.module_utils import tensorflow as tf
class GrainDat... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/data_adapter_utils.py | keras/src/trainers/data_adapters/data_adapter_utils.py | import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import tree
from keras.src.api_export import keras_export
NUM_BATCHES_FOR_TENSOR_SPEC = 2
@keras_export("keras.utils.unpack_x_y_sample_weight")
def unpack_x_y_sample_weight(data):
"""Unpacks user-provided data tuple.
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/trainers/data_adapters/generator_data_adapter_test.py | keras/src/trainers/data_adapters/generator_data_adapter_test.py | import math
import jax
import jax.experimental.sparse as jax_sparse
import numpy as np
import pytest
import scipy
import tensorflow as tf
import torch
from absl.testing import parameterized
from jax import numpy as jnp
from keras.src import backend
from keras.src import testing
from keras.src.testing.test_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/trainers/data_adapters/data_adapter_utils_test.py | keras/src/trainers/data_adapters/data_adapter_utils_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.trainers.data_adapters.data_adapter_utils import (
class_weight_to_sample_weights,
)
class TestClassWeightToSampleWeights(testing.TestCase):
@parameterized.named_... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/models/variable_mapping_test.py | keras/src/models/variable_mapping_test.py | import numpy as np
from keras.src import testing
from keras.src.saving import saving_lib_test
class VariableMappingTest(testing.TestCase):
def test_basics(self):
model = saving_lib_test._get_basic_functional_model()
model.optimizer.build(model.trainable_variables)
variable_map = model._ge... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/models/functional_test.py | keras/src/models/functional_test.py | import os
import warnings
import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import applications
from keras.src import backend
from keras.src import layers
from keras.src import ops
from keras.src import saving
from keras.src import testing
from keras.src.backend.common.keras_tenso... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/models/cloning_test.py | keras/src/models/cloning_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 import tree
from keras.src.models.cloning import clone_model
def get_mlp_functional_model(shared_layers=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/models/cloning.py | keras/src/models/cloning.py | 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.layers import Input
from keras.src.layers import InputLayer
from keras.src.models.functional import Functional
from keras.src.models.functional import functional_like_constru... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/models/functional.py | keras/src/models/functional.py | import copy
import inspect
import typing
import warnings
from keras.src import backend
from keras.src import ops
from keras.src import tree
from keras.src.backend.common import global_state
from keras.src.layers.core.input_layer import Input
from keras.src.layers.core.input_layer import InputLayer
from keras.src.layer... | 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/models/model.py | keras/src/models/model.py | import inspect
import json
import typing
import warnings
from collections.abc import Callable
from keras.src import backend
from keras.src import utils
from keras.src.api_export import keras_export
from keras.src.layers.layer import Layer
from keras.src.models.variable_mapping import map_saveable_variables
from keras.... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | true |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/models/model_test.py | keras/src/models/model_test.py | import os
import pickle
from collections import namedtuple
import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import layers
from keras.src import losses
from keras.src import testing
from keras.src import tree
from keras.src.layers.core.input_layer 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/models/variable_mapping.py | keras/src/models/variable_mapping.py | from keras.src.layers.layer import Layer
from keras.src.metrics.metric import Metric
from keras.src.optimizers.optimizer import Optimizer
from keras.src.saving import saving_lib
from keras.src.saving.keras_saveable import KerasSaveable
def map_saveable_variables(saveable, store, visited_saveables):
# If the savea... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/models/__init__.py | keras/src/models/__init__.py | from keras.src.models.functional import Functional
from keras.src.models.model import Model
from keras.src.models.sequential import 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/models/sequential.py | keras/src/models/sequential.py | import copy
import inspect
import typing
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
from keras.src.backend.common import standardize_shape
from keras.src.layers.core.input_layer import InputLayer
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/models/sequential_test.py | keras/src/models/sequential_test.py | import pickle
import numpy as np
import pytest
from keras.src import backend
from keras.src import layers
from keras.src import saving
from keras.src import testing
from keras.src.layers.core.input_layer import Input
from keras.src.models.functional import Functional
from keras.src.models.model import Model
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/applications/efficientnet.py | keras/src/applications/efficientnet.py | import copy
import math
from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
BASE_WEIGHTS_PATH ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/mobilenet_v3.py | keras/src/applications/mobilenet_v3.py | import warnings
from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
BASE_WEIGHT_PATH = (
"... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/mobilenet_v2.py | keras/src/applications/mobilenet_v2.py | import warnings
from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
BASE_WEIGHT_PATH = (
"... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/resnet_v2.py | keras/src/applications/resnet_v2.py | from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.applications import resnet
@keras_export(
[
"keras.applications.ResNet50V2",
"keras.applications.resnet_v2.ResNet50V2",
]
)
def ResNet50V2(
include_top=True,
weights="imagenet... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/efficientnet_v2.py | keras/src/applications/efficientnet_v2.py | import copy
import math
from keras.src import backend
from keras.src import initializers
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils im... | 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/applications/resnet.py | keras/src/applications/resnet.py | from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
BASE_WEIGHTS_PATH = (
"https://storage.... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/inception_v3.py | keras/src/applications/inception_v3.py | from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
WEIGHTS_PATH = (
"https://storage.googl... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/mobilenet.py | keras/src/applications/mobilenet.py | import warnings
from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
BASE_WEIGHT_PATH = (
"... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/vgg19.py | keras/src/applications/vgg19.py | from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
WEIGHTS_PATH = (
"https://storage.googl... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/xception.py | keras/src/applications/xception.py | from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
WEIGHTS_PATH = (
"https://storage.googl... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/nasnet.py | keras/src/applications/nasnet.py | import warnings
from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
BASE_WEIGHTS_PATH = (
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/applications_test.py | keras/src/applications/applications_test.py | import os
import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.applications import convnext
from keras.src.applications import densenet
from keras.src.applications import efficientnet
from keras.src.applications import effic... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/convnext.py | keras/src/applications/convnext.py | import numpy as np
from keras.src import backend
from keras.src import initializers
from keras.src import layers
from keras.src import ops
from keras.src import random
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.layers.layer import Layer
from keras.src... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/imagenet_utils.py | keras/src/applications/imagenet_utils.py | import json
import warnings
import numpy as np
from keras.src import activations
from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.utils import file_utils
CLASS_INDEX = None
CLASS_INDEX_PATH = (
"https://storage.googleapis.com/download.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/applications/__init__.py | keras/src/applications/__init__.py | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false | |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/inception_resnet_v2.py | keras/src/applications/inception_resnet_v2.py | from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.layers.layer import Layer
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
BA... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/imagenet_utils_test.py | keras/src/applications/imagenet_utils_test.py | import numpy as np
import pytest
from absl.testing import parameterized
import keras
from keras.src import backend
from keras.src import testing
from keras.src.applications import imagenet_utils as utils
from keras.src.dtype_policies.dtype_policy import set_dtype_policy
class TestImageNetUtils(testing.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/applications/vgg16.py | keras/src/applications/vgg16.py | from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
WEIGHTS_PATH = (
"https://storage.googl... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/applications/densenet.py | keras/src/applications/densenet.py | from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
BASE_WEIGHTS_PATH = (
"https://storage.... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/activations/activations_test.py | keras/src/activations/activations_test.py | import numpy as np
from keras.src import activations
from keras.src import backend
from keras.src import testing
def _ref_softmax(values):
m = np.max(values)
e = np.exp(values - m)
return e / np.sum(e)
def _ref_softplus(x):
return np.log(np.ones_like(x) + np.exp(x))
def _ref_log_softmax(values):
... | 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/activations/__init__.py | keras/src/activations/__init__.py | import types
from keras.src.activations.activations import celu
from keras.src.activations.activations import elu
from keras.src.activations.activations import exponential
from keras.src.activations.activations import gelu
from keras.src.activations.activations import glu
from keras.src.activations.activations 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/activations/activations.py | keras/src/activations/activations.py | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
@keras_export("keras.activations.relu")
def relu(x, negative_slope=0.0, max_value=None, threshold=0.0):
"""Applies the rectified linear unit activation function.
With default values, this returns the standar... | python | 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.py | keras/src/utils/summary_utils.py | import functools
import math
import re
import shutil
import rich
import rich.console
import rich.markup
# See https://github.com/keras-team/keras/issues/448
# for below imports
import rich.table
from keras.src import backend
from keras.src import tree
from keras.src.utils import dtype_utils
from keras.src.utils impo... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/utils/torch_utils.py | keras/src/utils/torch_utils.py | import base64
import io
from packaging.version import parse
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers import Layer
from keras.src.ops import convert_to_numpy
from keras.src.ops import convert_to_tensor
from keras.src.saving.serialization_lib import in_safe_mode
... | python | 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.py | keras/src/utils/naming.py | import collections
import re
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
def auto_name(prefix):
prefix = to_snake_case(prefix)
return uniquify(prefix)
def uniquify(name):
object_name_uids = global_state.get_global_attribute(
"object_name_uids"... | python | 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_test.py | keras/src/utils/audio_dataset_utils_test.py | import os
import numpy as np
from keras.src import testing
from keras.src.utils import audio_dataset_utils
from keras.src.utils.module_utils import tensorflow as tf
class AudioDatasetFromDirectoryTest(testing.TestCase):
def _get_audio_samples(self, count=16, different_sequence_lengths=False):
sequence_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/file_utils.py | keras/src/utils/file_utils.py | import hashlib
import os
import re
import shutil
import sys
import tarfile
import tempfile
import urllib
import urllib.error
import urllib.parse
import warnings
import zipfile
from urllib.request import urlretrieve
from keras.src.api_export import keras_export
from keras.src.backend import config
from keras.src.utils ... | python | 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.py | keras/src/utils/image_dataset_utils.py | import io
import pathlib
import numpy as np
from keras.src.api_export import keras_export
from keras.src.backend.config import standardize_data_format
from keras.src.utils import dataset_utils
from keras.src.utils import image_utils
from keras.src.utils.grain_utils import make_batch
from keras.src.utils.module_utils ... | python | 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.py | keras/src/utils/backend_utils.py | import copy
import importlib
import inspect
import os
import sys
import warnings
from keras.src import backend as backend_module
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
def in_tf_graph():
if global_state.get_global_attribute("in_tf_graph_scope", 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/utils/torch_utils_test.py | keras/src/utils/torch_utils_test.py | import os
import numpy as np
import pytest
import torch
from absl.testing import parameterized
import keras
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import saving
from keras.src import testing
from keras.src.backend.torch.core import get_device
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/utils/argument_validation.py | keras/src/utils/argument_validation.py | def standardize_tuple(value, n, name, allow_zero=False):
"""Transforms non-negative/positive integer/integers into an integer tuple.
Args:
value: int or iterable of ints. The value to validate and convert.
n: int. The size of the tuple to be returned.
name: string. The name of the 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/utils/tf_utils.py | keras/src/utils/tf_utils.py | from keras.src import backend
from keras.src.utils.module_utils import tensorflow as tf
def get_tensor_spec(t, dynamic_batch=False, name=None):
"""Returns a `TensorSpec` given a single `Tensor` or `TensorSpec`."""
if isinstance(t, tf.TypeSpec):
spec = t
elif isinstance(t, tf.__internal__.Composite... | python | 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_test.py | keras/src/utils/image_utils_test.py | import os
import numpy as np
from absl.testing import parameterized
from keras.src import testing
from keras.src.utils import img_to_array
from keras.src.utils import load_img
from keras.src.utils import save_img
class SaveImgTest(testing.TestCase, parameterized.TestCase):
@parameterized.named_parameters(
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/utils/tracking.py | keras/src/utils/tracking.py | from functools import wraps
from keras.src import tree
from keras.src.backend.common.global_state import get_global_attribute
from keras.src.backend.common.global_state import set_global_attribute
from keras.src.utils import python_utils
class DotNotTrackScope:
def __enter__(self):
self.original_value = ... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
keras-team/keras | https://github.com/keras-team/keras/blob/c67eddb4ff8b615886893ca996dc216bc923d598/keras/src/utils/sequence_utils_test.py | keras/src/utils/sequence_utils_test.py | from keras.src import testing
from keras.src.utils import sequence_utils
class PadSequencesTest(testing.TestCase):
def test_pad_sequences(self):
a = [[1], [1, 2], [1, 2, 3]]
# test padding
b = sequence_utils.pad_sequences(a, maxlen=3, padding="pre")
self.assertAllClose(b, [[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/dataset_utils_test.py | keras/src/utils/dataset_utils_test.py | import collections
import itertools
import numpy as np
import torch
from absl.testing import parameterized
from torch.utils.data import Dataset as TorchDataset
from keras.src import backend
from keras.src.testing import test_case
from keras.src.testing.test_utils import named_product
from keras.src.utils.dataset_util... | python | 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.py | keras/src/utils/jax_layer.py | import functools
import inspect
import itertools
import string
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.backend.common.variables import is_float_dtype
from keras.src.backend.common.variables import standardize_dtype
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/utils/tracking_test.py | keras/src/utils/tracking_test.py | import collections
from keras.src import backend
from keras.src import testing
from keras.src.utils import tracking
class TrackingTest(testing.TestCase):
def test_untracking_in_tracked_list(self):
tracked_variables = []
tracker = tracking.Tracker(
{
"variables": (
... | python | Apache-2.0 | c67eddb4ff8b615886893ca996dc216bc923d598 | 2026-01-04T14:38:29.819962Z | false |
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