Bump the github-actions group with 4 updates#21809
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Bumps the github-actions group with 4 updates: [actions/checkout](https://github.com/actions/checkout), [actions/setup-python](https://github.com/actions/setup-python), [actions/upload-artifact](https://github.com/actions/upload-artifact) and [github/codeql-action](https://github.com/github/codeql-action). Updates `actions/checkout` from 4 to 5 - [Release notes](https://github.com/actions/checkout/releases) - [Commits](actions/checkout@v4...v5) Updates `actions/setup-python` from 5 to 6 - [Release notes](https://github.com/actions/setup-python/releases) - [Commits](actions/setup-python@v5...v6) Updates `actions/upload-artifact` from 4.6.2 to 5.0.0 - [Release notes](https://github.com/actions/upload-artifact/releases) - [Commits](actions/upload-artifact@ea165f8...330a01c) Updates `github/codeql-action` from 3.30.5 to 4.31.2 - [Release notes](https://github.com/github/codeql-action/releases) - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) - [Commits](github/codeql-action@3599b3b...0499de3) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '5' dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions - dependency-name: actions/setup-python dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions - dependency-name: actions/upload-artifact dependency-version: 5.0.0 dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions - dependency-name: github/codeql-action dependency-version: 4.31.2 dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions ... Signed-off-by: dependabot[bot] <support@github.com>
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Feb 14, 2026
* Implement logaddexp2 function in keras.ops (keras-team#21691) * [Keras 3 OpenVINO Backend]: Support numpy.sort (keras-team#21687) * [Keras 3 OpenVINO Backend]: Support numpy.median operation (keras-team#21667) * Fix deadlock in `CallbackList`. (keras-team#21701) * [OpenVINO backend] solve randomuniform issue (keras-team#21670) * Bug fixes with variable handling in `LossScaleOptimizer`. (keras-team#21706) * Do not use backend ops in `ProgBar`. (keras-team#21709) * Fix the Doc of the combination relation in func `keras.layers.Normali… * Remove reliance on `__jax_array__` to unwrap variables. (keras-team#21719) * Bump the github-actions group with 6 updates (keras-team#21705) * Add linspace and logspace implementations in OpenVINO NumPy backend (… * Add jvp op (keras-team#21720) * Add unfold op (keras-team#21685) * Add the description that `0` should not in the arg `axes` in `keras.l… * Add daily Python 3.13 CPU-only tests to nightly workflow (keras-team#21566) * Fix histogram op for symbolic inputs (keras-team#21729) * Relax tolerance for svd test (keras-team#21731) * Use jax.enable_x64 in place of jax.experimental.disable_x64 (keras-team#21734) * Refactor variable serialization. (keras-team#21713) * Ensure keras.ops.eye behavior is consistent across backends. (keras-team#21738) * Add `eye` support for OpenVINO backend (keras-team#21739) * Update Torch and Tensorflow versions in cuda requirements files. (keras-team#21… * Implement isreal function in keras.ops (keras-team#21740) * Remove the unused jax `enable_x64`. (keras-team#21737) * Correct implementation for several OpenVINO operations (keras-team#21746) * Sets `is_gptq_calibrated` flag when deserializing GPTQ models (keras-team#21748) * Correct implementation for several OpenVINO operations (keras-team#21752) * Fix the Bug in func `preprocess_input` when `x` in 3D and `data_forma… * Update Torch to 2.9.0 on GPU. (keras-team#21756) * `StringLookup` & `IntegerLookup` now save vocabulary loaded from file… * Implement trapezoid function in keras.ops (keras-team#21757) * Upstream `ReversibleEmbedding` from KerasHub. (keras-team#21753) * Raise exception on batch_size mismatch for stateful RNNs (keras-team#21742) * Propose a method for handling datasets which doesn't explicitly requi… * Use `filter="data"` option of `TarFile.extractall`. (keras-team#21760) * Add Distillation API to Keras (keras-team#21572) * removes unnecessary try-catch blocks and guard conditions (keras-team#21767) * cleanup distillation loss names (keras-team#21766) * Document that `set_backend` requires re-importing keras. (keras-team#21764) * Fix discretization discrepancy (keras-team#21769) * fix sas metrics in jax `fit` (keras-team#21765) * Support for extracting volume patches (keras-team#21759) * Fix negative index handling in MultiHeadAttention attention_axes (keras-team#21… * Make confusion metrics compilable. (keras-team#21775) * Suport keras.op.view() to view the same data bitwise at a new dtype … * Fix: `keras.ops.quantile` works with tf graph execution (keras-team#21782) * Fix typo in Distiller docstring * Add warning to `set_backend` and more detailed example. (keras-team#21787) * Don't fail `Variable.__repr__` if the value cannot be retrieved. (keras-team#21… * Update Keras backend installation instructions * Fix: Support 'jpg' format in keras.utils.save_img() (keras-team#21683) * Fix tf dataset detection logic. (keras-team#21794) * update test after jax.config.jax_vjp3 is enabled (keras-team#21776) * Add keras.ops.array_split for Tensor Parallelism Support (keras-team#21697) * Adding get_device_count function to the distribution_lib (keras-team#21791) * Fix: use raw string for CALIBRATION_TEXT (keras-team#21790) * Add backend compatibility table to documentation (keras-team#21733) * More OpenVINO Operations (keras-team#21774) * Support scalar view for tf backend. (keras-team#21802) * Address bug with convolution using Tensorflow, Numpy, Jax backends (#… * Fix bug with correlate for tensorflow (keras-team#21778) * Pass optional field in a few places to fix None input error. (keras-team#21818) * Fix(backend/torch): Resolve MPS broadcast crash in binary_crossentrop… * Fix broken example indentation in Keras io (keras-team#21807) * Add missing `convert_to_tensor` to `take_along_axis` on JAX. (keras-team#21825) * Added numpy.digitize support for OPENVINO backend (keras-team#21824) * Bump the github-actions group with 4 updates (keras-team#21809) * Fix typo in CONTRIBUTING.md (keras-team#21812) * Fix `Progbar.update` when receiving list, np arrays, and tensors. (#2… * Fix CosineDecay documentation to clarify alpha is a multiplier (keras-team#21827) * Fix noise_shape validation in keras.layers.Dropout (keras-team#21819) * Fix typos in some files (keras-team#21830) * Fix failing sklearn tests following release of pytest 9.0. (keras-team#21843) * Implement empty_like function in keras.ops (keras-team#21840) * Run tests on TPU (keras-team#21425) * Fix typo in variable name 'embeding' to 'embedding' (keras-team#21845) * Fix name_scope_stack AttributeError and IndexError in __exit__ (keras-team#21834) * Update keras3 Softmax mask handling to be more numerically robust. (#… * Support jax2tf in JaxLayer for tf backend (keras-team#21842) * Fix assigning a value to a variable within an autocast scope. (keras-team#21864) * Add note about label noise in CIFAR-10 dataset documentation (keras-team#21855) * Allow None inputs in `Layer.build`. (keras-team#21866) * `standardize_shape` normalizes the dimensions and tuple. (keras-team#21867) * Improve error message when layer/model input validation fails. (keras-team#21869) * Add verbose logging when ModelCheckpoint callback is done saving ... … * [OpenVINO backend] Remove deprecated openvino.runtime import (keras-team#21826) * Fix Torch output_padding constraint for ConvTranspose layers (keras-team#21852) * Support PyDataset in Normalization layer `adapt` methods (keras-team#21817) * Fix test failures when nnx is enabled (keras-team#21875) * Implement ldexp function in keras.ops (keras-team#21863) * Added OrbaxCheckpoint for keras 3.0 for Data centric saving and resto… * Add raise_error option to TerminateOnNaN for immediate termination on… * Fix NNX tests (keras-team#21884) * `keras.utils.set_random_seed` clear the global `SeedGenerator`. (keras-team#21874) * fix tpu test (keras-team#21893) * Model Export to liteRT (keras-team#21674) * Fix: torch layer losses keyword arguments in rematscope (keras-team#21865) * Add label to trigger TPU tests manually. (keras-team#21897) * Support tpu tests allowing tpu precision for matmul (keras-team#21887) * remove log (keras-team#21901) * Introduces layer filtering for quantization and fixes GPTQ dependency… * Replace `np.reshape(x, newshape=y)` with `np.reshape(x, y)`. (keras-team#21899) * Modified Dense layer documentation for use_bias with batch normalizat… * [OpenVINO Backend] Support np.diag (keras-team#20967) * Modify Muon optimizer (keras-team#21885) * Disables implicit GPTQ quantization using dtype_policy setter (keras-team#21895) * Dense: validate units argument (keras-team#21902) * Pin `ai-edge-litert` version to fix CI (keras-team#21912) * Increase JAX GPU tests timeout to 2 hours (keras-team#21915) * Fix TPU tests - for splash attention (keras-team#21891) * Support various filtering functions in OpenVINO (keras-team#21836) * OpenVINO NN Module Functions (keras-team#21803) * fix XLA dynamic shape output of ops.diag (keras-team#21906) * Fix: Remove redundant epsilon in loss mask weight calculation (keras-team#21908) * Implement vander function in keras.ops (keras-team#21882) * Fix Muon optimizer with TensorFlow backend. (keras-team#21924) * OpenVino `device_scope` and data adapters tests (keras-team#21922) * Fix fake quant gradient output shape and use `jax.grad` for tests. (#… * Introduces QuantizationConfig for fine-grained quantization control (… * Extended fix OOM Issue keras-team#21634 on Keras side (keras-team#21755) * Fix ops.tile shape inference issue on TensorFlow backend (keras-team#21860) * Add adaptive pooling (1D, 2D, 3D) support across JAX, NumPy, TensorFl… * More OpenVINO Numpy Operations (keras-team#21925) * Adds Serialization Support for QuantizationConfig based quantized mod… * Refactors AbsMaxQuantizer to accept axis in __call__ (keras-team#21931) * Speed up unit tests on JAX and TensorFlow. (keras-team#21933) * update dev version number (keras-team#21921) * Always use `run_tpu_tests` label to run the TPU tests. (keras-team#21900) * Revert "Always use `run_tpu_tests` label to run the TPU tests. (keras-team#2190… * Forward-fix for JAX API changes (keras-team#21938) * Remove nightly tests with Python 3.13. (keras-team#21943) * Do no always make batch size dynamic during export. (keras-team#21944) * Fix `numpy.mean` with dynamic shape on OpenVino. (keras-team#21947) * Remove NumPy warning with NumPy >= 2. (keras-team#21949) * Always use `run_tpu_tests` label to run the TPU tests. (keras-team#21950) * [OpenVINO backend] Support np.vander, np.trapezoid, np.corrcoef, np.c… * Fixed a bug in _keras_mask (keras-team#21946) * Fix handling of symbolic Tensor in RNN (keras-team#21945) * Add example for arctanh (keras-team#21951) * Fix DoS via malicious HDF5 dataset metadata in KerasFileEditor (keras-team#21880) * Implement nextafter function in keras.ops (keras-team#21960) * fix image.extract_patches strides handling (keras-team#21959) * [OpenVINO backend] Support numpy.flip (keras-team#21963) * Bump the github-actions group with 4 updates (keras-team#21968) * Fix CUDNN flash attention for JAX > 0.6.2. (keras-team#21970) * Skip `PyDataset` tests on TPU. (keras-team#21964) * Add missing `name` to `SeedGenerator.get_config`. (keras-team#21975) * Use `subprocess.run` in `pip_build.py` to escape wheel path. (keras-team#21976) * Update dependencies and `dependabot.yml`. (keras-team#21974) * Use `kokoro:force-run` label for TPU tests too. (keras-team#21956) * Add simple example for keras.layers.Resizing (keras-team#21966) * [OpenVINO backend] Support numpy.diagonal (keras-team#21965) * Bump actions/checkout from 5.0.1 to 6.0.1 in the github-actions group… * Fix ReversibleEmbedding mask error when using reverse=True (keras-team#21961) * Update feature_space.py (keras-team#21935) * Clarify Tracker docstring wording (keras-team#21985) * Remove semi-colon after email in SECURITY.md (keras-team#21993) * Implement cbrt function for OpenVINO backend (keras-team#21987) * Fix config keys for chain depth and num chains (keras-team#21979) * Implement hypot and trace function for OpenVINO backend (keras-team#21991) * Implement ptp function in keras.ops (keras-team#21990) * Orbax Loading and Sharding Support feature (keras-team#21903) * Add usage examples to loss docstrings (keras-team#21989) * Unify extract_patches to support both 2D and 3D patches (keras-team#21980) * Fix ndim to support tf.RaggedTensor by using shape.rank (keras-team#21999) * Implement size and swapaxes function for OpenVINO backend. (keras-team#21995) * Implement kron function for OpenVINO backend (keras-team#22000) * Adds support for AWQ (keras-team#21992) * Trigger TPU tests on kokoro label removal rather than addition. (keras-team#22001) * Document complex dtype limitation in ops.correlate (keras-team#21984) * [OpenVINO backend] Fix and enable numpy.rot90 (keras-team#21967) * Only skip TPU excluded tests on TPU. (keras-team#22008) * Improvements to `JaxLayer` and `FlaxLayer` related to RNG handling an… * Fix typo in contrast adjustment method (keras-team#22012) * Fix typo and improve docstring formatting (keras-team#22017) * Implement nansum function in keras.ops (keras-team#21996) * Fix unreliable Orbax checkpoint detection with custom implementation … * Unpin as many Python packages versions as possible. (keras-team#22023) * Allow `CenterCrop` layer to handle dynamic image sizes. (keras-team#22020) * TPU tests now verify that we can detect TPUs and fails it not. (keras-team#22019) * Refactor ExtractPatches to handle both 2D and 3D (keras-team#22013) * Implement argpartition function for OpenVINO backend (keras-team#22025) * Implement logaddexp2 function for OpenVINO backend (keras-team#22026) * Implement nanmin function in keras.ops (keras-team#22040) * Increase test coverage for IntegerLookup layer (keras-team#22022) * feat: Add documentation examples for image preprocessing augmentation… * Fix: activity regularizer not normalized by batch size (keras-team#22021) * Implement ldexp and select ops for OpenVINO backend (keras-team#22042) * Fix: convert deque to list before tf.transpose in keras.ops.quantile … * Fix timedistributed mask validation (keras-team#22039) * Torch backend: allow explicit device selection and guard DirectML usa… * Implement nanmax function in keras.ops (keras-team#22043) * Add bias support for torch's `dot_product_attention`. (keras-team#22045) * Fix incorrect example in `ops.associative_scan` docstring (keras-team#22051) * Add Batch Renormalisation (keras-team#22047) * Implement round and divide_no_nan ops for OpenVINO backend (keras-team#22052) * Add dynamic shape support for torch backend export (keras-team#22041) * Implement vstack func for OpenVINO backend (keras-team#22059) * Implement ptp function for OpenVINO backend (keras-team#22060) * Implement nanmean function in keras.ops (keras-team#22055) * Do not allow external links in HDF5 files. (keras-team#22057) * Fix discretization symbolic one hot (keras-team#22048) * Implement complete Keras-Orbax checkpoint integration (keras-team#22002) * Increase test coverage for StringLookup preprocessing layer (keras-team#22056) * Set mutable to True by default in nnx_metadata (keras-team#22074) * Adds Asymmetric INT4 Sub-Channel Quantization Support (keras-team#22007) * Allow passing variables to a function with `@custom_gradient`. (keras-team#22069) * Disallow TFSMLayer deserialization in safe_mode to prevent external S… * Remove redundant global seed initialization code. (keras-team#22084) * Add `Muon` to the list of all optimizer classes. (keras-team#22083) * Implement tile function for openvino backend (keras-team#22071) * implement nansum ops for openvino backend (keras-team#22078) * Remove `testing.uses_cpu()` and re-implement for JAX. (keras-team#22087) * benchmarks: add RandomRotation tf.data performance benchmark (keras-team#21986) * Fix arctan2 NaN propagation in OpenVINO backend (keras-team#22064) * Validate positive height and width in image resize (keras-team#22079) * Don't skip some JAX linalg tests on JAX. (keras-team#22091) * Implement nanprod function in keras.ops (keras-team#22089) * Increase test coverage for TextVectorization layer (keras-team#22066) * Bump the github-actions group with 2 updates (keras-team#22093) * fix: pytorch onnx export symbolic test (keras-team#22086) * Improvements to `*_uses_gpu` and `*_uses_tpu`. (keras-team#22088) * Implement cross product operation for OpenVINO backend (keras-team#22096) * Fail fast on invalid convolution output shapes during symbolic execut… * Fix Normalization broadcasting for scalar and multidim mean and varia… * Standardize the way tests are skipped based on backend and accelerato… * Don't call `pythonify_logs` within `get_metrics_result`. (keras-team#22107) * Fix gaussian_blur padding calculation for even kernel sizes (keras-team#22054) * Adjust JAX variable initializer jitting criteria. (keras-team#22116) * Exclude conv transpose tests on TPU. (keras-team#22117) * Remove incorrect but dead code in `BaseOptimizer.stateless_apply`. (#… * Implement tensordot operation for OpenVINO backend (keras-team#22098) * Fix bounding box docstring references (keras-team#22110) * feat: add depth_to_space and space_to_depth ops (keras-team#22112) * Fix sparse reshape test with Numpy 2.4. (keras-team#22141) * Fix vocabulary reload corruption caused by trailing newline handling … * Add support for dynamic dimensions in `ops.slice.compute_output_spec`… * Revamp graph validation in `Function.__init__`. (keras-team#22153) * Fix: draw_bounding_boxes float32 to uint8 conversion (keras-team#22129) * Implement dstack function across all backends (keras-team#22120) * Add exp2 operation to OpenVINO backend (keras-team#22131) * Add trunc operation to OpenVINO backend (keras-team#22134) * Fix: add missing validation for output padding < strides (keras-team#22130) * docs: Add guide on resuming training from weight-only checkpoints (#2… * feat(openvino): upgrade opset to opset15 (keras-team#22159) * Fix order-dependent float16/bfloat16 promotion in cast_to_common_dtyp… * Fix TrackedDict constructor to support iterable (key, value) inputs (… * Implement numpy.gcd using Euclidean algorithm for OpenVINO backend (#… * [Keras 3] Refactor ExportArchive to be a dispatcher for different exp… * [Keras 3] Refactor ExportArchive to be a dispatcher for different exp…
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Bumps the github-actions group with 4 updates: actions/checkout, actions/setup-python, actions/upload-artifact and github/codeql-action.
Updates
actions/checkoutfrom 4 to 5Release notes
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Commits
08c6903Prepare v5.0.0 release (#2238)9f26565Update actions checkout to use node 24 (#2226)Updates
actions/setup-pythonfrom 5 to 6Release notes
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e797f83Upgrade to node 24 (#1164)3d1e2d2Revert "Enhance cache-dependency-path handling to support files outside the w...65b0712Clarify pythonLocation behavior for PyPy and GraalPy in environment variables...5b668cfBump actions/checkout from 4 to 5 (#1181)f62a0e2Change missing cache directory error to warning (#1182)9322b3cUpgrade setuptools to 78.1.1 to fix path traversal vulnerability in PackageIn...fbeb884Bump form-data to fix critical vulnerabilities #182 & #183 (#1163)03bb615Bump idna from 2.9 to 3.7 in /tests/data (#843)36da51dAdd version parsing from Pipfile (#1067)3c6f142update documentation (#1156)Updates
actions/upload-artifactfrom 4.6.2 to 5.0.0Release notes
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330a01cMerge pull request #734 from actions/danwkennedy/prepare-5.0.003f2824Updategithub.dep.yml905a1ecPreparev5.0.02d9f9cdMerge pull request #725 from patrikpolyak/patch-19687587Merge branch 'main' into patch-12848b2cMerge pull request #727 from danwkennedy/patch-19b51177Spell out the first use of GHEScd231caUpdate GHES guidance to include reference to Node 20 versionde65e23Merge pull request #712 from actions/nebuk89-patch-18747d8cUpdate README.mdUpdates
github/codeql-actionfrom 3.30.5 to 4.31.2Release notes
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0499de3Merge pull request #3261 from github/henrymercer/setup-python3b96745Set up Python in mergeback workflow8a06050Merge pull request #3259 from github/update-v4.31.2-9576b5cbe752a642Update changelog for v4.31.29576b5cMerge pull request #3258 from github/mbg/enablement-errors/case-insensitivecc88437Merge pull request #3257 from github/henrymercer/ubuntu-slimf0e9bf0MakeisEnablementErrorcase-insensitive2a3599cRun lightweight workflows onubuntu-slim514ff4dMerge pull request #3256 from github/henrymercer/resolve-bad-mergeaab1c2fMerge pull request #3253 from github/mergeback/v4.31.1-to-main-5fe9434cDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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