standardize_shape normalizes the dimensions and tuple. by hertschuh · Pull Request #21867 · keras-team/keras (original) (raw)

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• standardize_shape would allow int-like objects (e.g. NumPy scalars) to be in the shape, but would not resolve them to actual ints. This could cause issues later. With this change, objects that can be cast to int will be cast to int, which includes NumPy scalars, but also TensorFlow constant or eager tensors.
• standardize_shape would have custom code to handle torch.Size. Generalized it to turn anything iterable to a plain tuple.
• Added units tests
• Removed duplicate unit tests
• Added TensorFlow specific unit test

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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