Bump keras from 3.8.0 to 3.9.0
Closed
Number: #9
Type: Pull Request
State: Closed
Type: Pull Request
State: Closed
Author:
dependabot[bot]
Association: Unknown
Comments: 1
Association: Unknown
Comments: 1
Created:
March 11, 2025 at 05:13 PM UTC
(over 1 year ago)
(over 1 year ago)
Updated:
January 15, 2026 at 08:32 PM UTC
(5 months ago)
(5 months ago)
Closed:
January 15, 2026 at 08:32 PM UTC
(5 months ago)
(5 months ago)
Time to Close:
10 months
Labels:
dependencies python
dependencies python
Description:
Bumps keras from 3.8.0 to 3.9.0.
Release notes
Sourced from keras's releases.
Keras 3.9.0
New features
- Add new Keras rematerialization API:
keras.RematScopeandkeras.remat. It can be used to turn on rematerizaliation for certain layers in fine-grained manner, e.g. only for layers larger than a certain size, or for a specific set of layers, or only for activations.- Increase op coverage for OpenVINO backend.
- New operations:
keras.ops.rot90keras.ops.rearrange(Einops-style)keras.ops.signbitkeras.ops.polarkeras.ops.image.perspective_transformkeras.ops.image.gaussian_blur- New layers:
keras.layers.RMSNormalizationkeras.layers.AugMixkeras.layers.CutMixkeras.layers.RandomInvertkeras.layers.RandomErasingkeras.layers.RandomGaussianBlurkeras.layers.RandomPerspective- Minor additions:
- Add support for
dtypeargument toJaxLayerandFlaxLayerlayers- Add boolean input support to
BinaryAccuracymetric- Add
antialiasargument tokeras.layers.Resizinglayer.- Security fix: disallow object pickling in saved
npzmodel files (numpy format). Thanks to Peng Zhou for reporting the vulnerability.New Contributors
@harshaljanjanimade their first contribution in keras-team/keras#20745@doncarlos999made their first contribution in keras-team/keras#20641@sonali-kumari1made their first contribution in keras-team/keras#20775@jurcamade their first contribution in keras-team/keras#20810@zskendallmade their first contribution in keras-team/keras#20805@apehexmade their first contribution in keras-team/keras#20803@nikolasavic3made their first contribution in keras-team/keras#20896@ibraaaamade their first contribution in keras-team/keras#20926@AsVoidermade their first contribution in keras-team/keras#20921@abheesht17made their first contribution in keras-team/keras#20932@Mohamed-Ashraf273made their first contribution in keras-team/keras#20934@kuanxian1made their first contribution in keras-team/keras#20951@praveenhosdrug123made their first contribution in keras-team/keras#20916Full Changelog: https://github.com/keras-team/keras/compare/v3.8.0...v3.9.0
Commits
eb1f844FixDiscretizationserialization whennum_binsis used. (#20971)19b1418Enable cuDNN RNNs when dropout is set andtraining=True(#20983)465a3d2Update version number2688bfcFix docstringff427e5[Keras Ops and Layer] Add keras.ops.rms_norm() and keras.layers.RMSNormalizat...f7115c2Fix PyTorch stateful RNN/LSTM gradient computation error resolves #20875 (#20...7a7bca6[OpenVINO backend] Support numpy.append (#20951)c356caeBump the github-actions group with 3 updates (#20975)0902ff4[OpenVino BackEnd]support np.count_nonzero for ov BackEnd (#20945)21c8997Make gaussian_blur to use scipy convolve2d (#20974)- Additional commits viewable in compare view
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Package Dependencies
Technical Details
| ID: | 12807035 |
| UUID: | 2911305876 |
| Node ID: | PR_kwDOOC1a786ONHAb |
| Host: | GitHub |
| Repository: | ymugoder/Python |