MatchZoo
MatchZoo copied to clipboard
Bump keras from 2.3.0 to 2.13.1
Bumps keras from 2.3.0 to 2.13.1.
Release notes
Sourced from keras's releases.
Keras Release 2.13.1
What's Changed
- Fix timeseries_dataset_from_array counts when sequence_stride > 1 by
@basjacobs93in keras-team/keras#17396- Fix doc for MultiHeadAttention's output_shape arg by
@tsdengin keras-team/keras#17432- Added a link to the TextVectorization API Reference Page. by
@Neeshamraghav012in keras-team/keras#17540- Fix ConvNeXt classifier activation bug by
@Frighterain keras-team/keras#17544- Activations clean up by
@joesho112358in keras-team/keras#17545- Perform all ops in apply_gradient in a given tf.name_scope. by
@foxikin keras-team/keras#17550- Bugfix/normalization invert by
@jerabaul29in keras-team/keras#17501- OptimizerV2: Allow deepcopy by
@jschuellerin keras-team/keras#17463- keras.models.clone_model creates different weight names for RNN layers by
@mergianin keras-team/keras#17465- Fix spelling error in Initializer warning by
@edknvin keras-team/keras#17568- LayerScale fix to support pretrained ConvNeXt models with mixed precision by
@andrepedin keras-team/keras#17547- Softmax fix in Mixed Precision by
@dsr-labin keras-team/keras#17571- Less restrictive ROCm+GRU/LSTM fallback logic by
@ekuznetsov139in keras-team/keras#17587- Update security section. by
@sachinprasadhsin keras-team/keras#17522- Fix serialization error with EfficientNet by
@RocketDeliveryin keras-team/keras#17498- grammar corrections by
@egurnickin keras-team/keras#17595- Update documentation to keras reuters dataset by
@hxy9243in keras-team/keras#17635- Add Lion optimizer by
@drauhin keras-team/keras#17605- Correct the docstring of Head func in convnext.py by
@Frighterain keras-team/keras#17667- keras.layers.Bidirectional is missing argument "states", which is defined for keras.layers.RNN by
@mergianin keras-team/keras#17469- fix a small bug in tf.keras.layer.Layer.compute_output_signature by
@yamanokoin keras-team/keras#17636- Optimize mixed-precision finite check for sparse tensors. by
@nluehrin keras-team/keras#17638- Typo Lion docstring by
@drauhin keras-team/keras#17726- Raise ValueError if reducing axis dimension is 0 by
@old-school-kidin keras-team/keras#16755- Add CategoricalFocalCrossentropy to Losses API by
@Frighterain keras-team/keras#17651- Unifying interpolation selection by
@jpodivinin keras-team/keras#17742- Add a missing space by
@sudoLifein keras-team/keras#17744- [keras/initializers/initializers_v1.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17785- [keras/layers/convolutional/conv3d_transpose.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17797- [keras/engine/training.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17780- [keras/feature_column/dense_features.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17783- [keras/datasets/imdb.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17771- [keras/backend.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17769- [keras/engine/base_layer_utils.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17774- [keras/layers/activation/leaky_relu.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17786- [keras/engine/training_v1.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17781- [keras/layers/activation/relu.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17787- [keras/layers/convolutional/conv2d_transpose.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17795- [keras/layers/convolutional/conv3d.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17796- [keras/layers/activation/softmax.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17788- [keras/layers/convolutional/depthwise_conv2d.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17799- [keras/layers/convolutional/separable_conv2d.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17800- [keras/layers/locally_connected/locally_connected2d.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17803- [keras/layers/locally_connected/locally_connected1d.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17802- Fix performance issue with sample weights in model.fit() by
@nershmanin keras-team/keras#17357- [keras/datasets/reuters.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17772- [keras/applications/mobilenet.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17763- [keras/applications/inception_v3.py] Standardise docstring usage of "Default to" by
@SamuelMarksin keras-team/keras#17762
... (truncated)
Commits
b3ffea6Cherrypick Sequential serialization bug fix for r2.13 (#18258)87db506Cherrypick the release script fix for RC. (#18082)a51c89aIncrease the version number for keras 2.13 (#18081)861ad74Adds error for serializing metric using layer serialization.1b7c53dAdds Keras v3 saving testing coverage to Keras layers tests.e7c4d09Expands Keras internal testing coverage for the new v3 saving format for comm...d72829aChange references fromdistribution_strategy_context.pyto `distribute_lib....605b2d7Merge pull request #17961 from SamuelMarks:keras.layers.activation-defaults-toa64d0b7Merge pull request #17955 from SamuelMarks:keras.datasets-defaults-tocb1e1a0Merge pull request #17967 from SamuelMarks:keras.layers.preprocessing-default...- Additional commits viewable in compare view
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
@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.