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fix(deps): update dependency keras to v3.14.1 - autoclosed#919

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fix(deps): update dependency keras to v3.14.1 - autoclosed#919
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@renovate renovate Bot commented May 18, 2026

This PR contains the following updates:

Package Change Age Confidence
keras ==3.14.0 → ==3.14.1 age confidence

Release Notes

keras-team/keras (keras)

v3.14.1

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Saving & Reloading
  • Harden path and link resolution when extracting files from archives (#​22839)
    • Fixed link resolution bug when validating links extracted from TAR archives.
    • Fixed path confusion bug when validating files extracted from ZIP and TAR archives (including .keras files).
    • Added path validation when extracting assets from Orbax checkpoints.
  • Harden H5 validation code and apply it to legacy .h5 files (#​22801)
    • Disallow external links and virtual datasets in H5 files.
    • Also apply all the validation to the legacy .h5 file extraction.
  • Improve validation and error reporting in functional model deserialization (#​22800)
    • Detect loops in the graph when deserializing a functional model.
    • Improve error reporting for missing nodes in the graph.
Other Fixes
  • Fix data sharding logic in ModelParallel (#​22179)
  • Fix regression with metrics passed to compile (#​22663)
    • Fixed a regression introduced in #​22308 where y_pred (as a list) and y_true (as a dict with keys matching Functional model output names) were not ordered identically and could be paired incorrectly.
  • Fix regression preventing compilation with the L1L2 regularizer (#​22629)
  • Fix test compatibility with JAX 0.10.0 (#​22694)

Full Changelog: keras-team/keras@v3.14.0...v3.14.1

v3.14.0

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Highlights
  • Orbax Checkpoint Integration: Full support for Orbax checkpoints, including sharding, remote paths, and step recovery.
  • Quantization Upgrades: Added support for Activation-aware Weight Quantization (AWQ) and Asymmetric INT4 Sub-Channel Quantization.
  • Batch Renormalization in BatchNorm: Added batch renormalization feature to the BatchRenormalization layer.
  • New Optimizer: Added ScheduleFreeAdamW optimizer.
  • Gated Attention: Introduced optional Gated Attention support in MultiHeadAttention and GroupedQueryAttention layers.
New Features and Operations
Multi-Backend Operations
  • NaN-aware NumPy Operations: Added support for nanmin, nanmax, nanmean, nanmedian, nanvar, nanstd, nanprod, nanargmin, nanargmax, and nanquantile in keras.ops.numpy.
  • New Math & Linear Algebra Operators: Added nextafter, ptp, view, sinc, fmod, i0, fliplr, flipud, rad2deg, geomspace, depth_to_space, space_to_depth, and fold.
Preprocessing and Layers
  • CLAHE Layer: Added Contrast Limited Adaptive Histogram Equalization preprocessing layer.
  • Adapt Support for Iterables: Preprocessing layers now support Python iterables in the adapt() method, which allows the direct use of Grain datasets.
OpenVINO Backend Support

The OpenVINO backend received a massive update, implementing a wide array of NumPy and Neural Network operations to achieve feature parity with other backends:

  • NumPy Operations: vander, trapezoid, corrcoef, correlate, flip, diagonal, cbrt, hypot, trace, kron, argpartition, logaddexp2, ldexp, select, round, vstack, hsplit, vsplit, tile, nansum, tensordot, exp2, trunc, gcd, unravel_index, inner, cumprod, searchsorted, hanning, diagflat, norm, histogram, lcm, allclose, real, imag, isreal, kaiser, shuffle, einsum, quantile, conj, randint, in_top_k, signbit, gamma, heaviside, var, std, inv, solve, cholesky_inverse, fft, fft2, ifft2, rfft, irfft, stft, istft, scatter, binomial, unfold, QR decomposition, view, and more.
  • Neural Network Operations: Added support for separable_conv, conv_transpose, adaptive_average_pool, adaptive_max_pool, RNN, LSTM, and GRU.
  • Control Flow Operations: Implemented cond, scan, associative_scan, map, switch, fori_loop, and vectorized_map.
Bug Fixes and Improvements
Backend Specific Improvements
  • PyTorch: Dynamic shapes support in export, device selection improvements, and bug fixes to the CuDNN based LSTM and GRU implementation.
  • JAX: Improved RNG handling in FlaxLayer and JaxLayer, variable jitting improvements, and direct JAX-to-ONNX export.
  • NumPy: Enabled masking support for the NumPy backend.
Other Improvements
  • Fixed multiple symbolic shape bugs across layers like Conv1DTranspose, IndexLookup, and TextVectorization.
  • Fixed activity regularizer normalization by batch size.
  • Improved Sequential error messages for incompatible layers.
  • Minimized memory usage issues in sparse_categorical_crossentropy.
New Contributors

We would like to thank our new contributors for making their first contribution to the Keras project:

Full Changelog: keras-team/keras@v3.13.2...v3.14.0

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@renovate renovate Bot added dependencies Pull requests that update a dependency file renovate labels May 18, 2026
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renovate Bot commented May 18, 2026

⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

  • any of the package files in this branch needs updating, or
  • the branch becomes conflicted, or
  • you click the rebase/retry checkbox if found above, or
  • you rename this PR's title to start with "rebase!" to trigger it manually

The artifact failure details are included below:

File name: MAGE/uv.lock
Command failed: uv lock --upgrade-package keras
Using CPython 3.14.5 interpreter at: /opt/containerbase/tools/python/3.14.5/bin/python3
  × No solution found when resolving dependencies for split (markers:
  │ sys_platform == 'darwin'):
  ╰─▶ Because litellm==1.83.3 depends on python-dotenv==1.0.1 and
      openrag==0.4.1 depends on litellm==1.83.3, we can conclude that
      openrag==0.4.1 depends on python-dotenv==1.0.1.
      And because only the following versions of openrag are available:
          openrag<=0.4.1
          openrag>0.5.0
      and aimer depends on openrag>=0.4.1, we can conclude that aimer depends
      on python-dotenv==1.0.1.
      And because aimer depends on python-dotenv==1.2.2 and your workspace
      requires aimer, we can conclude that your workspace's requirements are
      unsatisfiable.

      hint: The resolution failed for an environment that is not the current
      one, consider limiting the environments with `tool.uv.environments`.

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@renovate renovate Bot force-pushed the renovate/keras-3.x branch from 248c48e to f1f9d77 Compare May 21, 2026 00:46
@renovate renovate Bot changed the title fix(deps): update dependency keras to v3.14.1 fix(deps): update dependency keras to v3.14.1 - autoclosed May 21, 2026
@renovate renovate Bot closed this May 21, 2026
@renovate renovate Bot deleted the renovate/keras-3.x branch May 21, 2026 01:10
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