Bumps keras from 3.3.3 to 3.9.0.
Release notes
Sourced from keras's releases.
Keras 3.9.0
New features
- Add new Keras rematerialization API:
keras.RematScope and keras.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
dtype argument to JaxLayer and FlaxLayer layers
- Add boolean input support to
BinaryAccuracy metric
- Add
antialias argument to keras.layers.Resizing layer.
- Security fix: disallow object pickling in saved
npz model files (numpy format). Thanks to Peng Zhou for reporting the vulnerability.
New Contributors
Full Changelog: keras-team/keras@v3.8.0...v3.9.0
Keras 3.8.0
New: OpenVINO backend
OpenVINO is now available as an infererence-only Keras backend. You can start using it by setting the backend field to "openvino" in your keras.json config file.
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Commits
eb1f844 Fix Discretization serialization when num_bins is used. (#20971)19b1418 Enable cuDNN RNNs when dropout is set and training=True (#20983)465a3d2 Update version number2688bfc Fix docstringff427e5 [Keras Ops and Layer] Add keras.ops.rms_norm() and keras.layers.RMSNormalizat...f7115c2 Fix PyTorch stateful RNN/LSTM gradient computation error resolves #20875 (#20...7a7bca6 [OpenVINO backend] Support numpy.append (#20951)c356cae Bump the github-actions group with 3 updates (#20975)0902ff4 [OpenVino BackEnd]support np.count_nonzero for ov BackEnd (#20945)21c8997 Make gaussian_blur to use scipy convolve2d (#20974)- Additional commits viewable in compare view
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Bumps keras from 3.3.3 to 3.9.0.
Release notes
Sourced from keras's releases.
... (truncated)
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)Dependabot compatibility score
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@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot show <dependency name> ignore conditionswill show all of the ignore conditions of the specified dependency@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)You can disable automated security fix PRs for this repo from the Security Alerts page.