Highlights
- Add ops
keras.random.shuffle
,keras.ops.image.map_coordinates
- Add support for
tf.SparseTensor
with TensorFlow backend (same level of support as legacytf.keras
) - Make
Discretization
layer backend agnostic - Bug fixes and performance improvements (in particular significantly reduced memory usage during training for JAX)
What's Changed
- Make jax2tf import conditional by @nkovela1 in #911
- Separate the metrics variables from non-trainable variables. by @qlzh727 in #910
- Update jax trainer function to save memory buffer. by @qlzh727 in #897
- [GHA] fix several codecov issues by @kiukchung in #912
- Add example to fine-tune TorchVision models using Keras by @soumik12345 in #909
- Refactor merging layers tests as parametrized tests. by @hertschuh in #913
- Add
ops.random.shuffle
by @james77777778 in #907 - Add
ops.map_coordinates
by @james77777778 in #906 - Makes
ops.split
in torch consistent with other backends by @james77777778 in #914 - Add:
MultipleChoice with Transfer Learning
example by @awsaf49 in #884 - Update test_case.py by @PatReis in #917
- Fix JAX RNN backend issue. by @qlzh727 in #924
- Adds JAX version checking for Export by @nkovela1 in #923
- make discretization backend agnostic by @divyashreepathihalli in #896
- Memory optimization for jax trainer. by @qlzh727 in #888
- [*.py] Standardise docstring usage of "Default to" by @SamuelMarks in #921
- Fix the inconsistency in
affine_transform
between numpy and jax by @james77777778 in #926 - Add support for Tensorflow SparseTensors: merging layers. by @hertschuh in #925
- fix torch error for bincount by @divyashreepathihalli in #927
- Refactor torch's
affine_transform
by @james77777778 in #929 - Increase test coverage + Fix
save_model_to_hdf5
+ Improveis_remote_path
+ Fixis_remote_path
by @Faisal-Alsrheed in #900 - Slice serialization by @gleize in #932
- Some dtype fixes by @fchollet in #935
- Hacky fix for dictionary output with tf 2.14 by @mattdangerw in #933
New Contributors
- @awsaf49 made their first contribution in #884
- @PatReis made their first contribution in #917
- @SamuelMarks made their first contribution in #921
Full Changelog: v0.1.6...v0.1.7