Implement kron function for OpenVINO backend by Shi-pra-19 · Pull Request #22000 · keras-team/keras (original) (raw)

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jerryxyj added a commit to jerryxyj/keras that referenced this pull request

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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