chore(deps): update dependency flax to v0.11.2 #587

renovate · 2024-07-13T23:35:10Z

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This PR contains the following updates:

Package	Change	Age	Confidence
flax	`0.8.1` -> `0.11.2`

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Release Notes

google/flax (flax)

`v0.11.2`: 0.11.2

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What's Changed

nnx.merge now doesn't create a copy of the Variables in the incoming states by default, meaning that the new merged structures holds references to the incoming Variables. This enables new patterns, for example its now possible to create models with the same state but with different runtime behavior:

model = SomeModel(...)

### create eval model
eval_model = nnx.merge(*nnx.split(model))  # same Variables, different structure
eval_model.eval()

model and eval_model share the same Variables and are therefore kept in sync but have different runtime behavior, this avoids having to constantly mutate a single model back and forth between different runtime modes which can be error prone / cause unwanted recompilation.

To keep the old behavior use nnx.merge(..., copy=True).

PRs

add Rngs random helpers by @cgarciae in #4876
Fix re-export and docs for identity by @jlperla in #4850
Fix ToLinen docstring return description by @mohsinm-dev in #4852
Update doc build instructions and clean up unused packages by @IvyZX in #4885
Improve docs related with dataclasses by @IvyZX in #4884
Fix broken contributing documentation link by @mohsinm-dev in #4855
Internal change by @copybara-service[bot] in #4886
Fix string key preservation in replace_by_pure_dict by @mohsinm-dev in #4860
Remove the need for Conv and ConvTranspose to know the precise batch size. by @copybara-service[bot] in #4877
call jax's source_info_util.register_exclusion in flax's traceback_util.register_exclusion by @copybara-service[bot] in #4887
Update typo in nnx.Optimizer by @codinfox in #4880
Exposed split_rngs docstring in the docs_nnx by @vfdev-5 in #4846
Pin sentencepiece version to 0.2.0 to fix head by @IvyZX in #4892
Relax duplicate check to exclude non-string values such as PartitionSpec.UNCONSTRAINED, since those can be repeated. by @copybara-service[bot] in #4881
add find_duplicates by @cgarciae in #4894
Sharding API improvements (non breaking) by @IvyZX in #4893
document jax.random shorthand methods by @cgarciae in #4899
Optimiser was already instantiated using the model - 05_vae.py by @nenuadrian in #4857
revert is_leaf logic in _check_carry_same_references by @copybara-service[bot] in #4903
Doc fix: remove outdated advice on flax v0.6.10; it was released two years ago. by @copybara-service[bot] in #4910
Fix bug when raising ScopeParamNotFoundError. by @copybara-service[bot] in #4898
fix mypy on main by @cgarciae in #4909
merge no copy Variables by @cgarciae in #4912
update version to 0.11.2 by @copybara-service[bot] in #4915

New Contributors

@mohsinm-dev made their first contribution in #4852
@codinfox made their first contribution in #4880
@nenuadrian made their first contribution in #4857

Full Changelog: google/flax@v0.11.1...v0.11.2

`v0.11.1`

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What's Changed

Make Sequential() be identity by @SobhanMP in #4796
Add a JAX/Flax key concepts doc by @IvyZX in #4795
miscellaneous improvements by @cgarciae in #4859
Replace jax.sharding.use_mesh with jax.set_mesh. jax.set_mesh can act as a global setter or a context manager. by @copybara-service[bot] in #4862
Pytree and ArrayRef refactor by @cgarciae in #4863
Add old property attributes for object->pytree rename. by @copybara-service[bot] in #4864
Add BatchNorm layers to CNN in MNIST tutorial for improved training stability by @sanepunk in #4773
Description by @copybara-service[bot] in #4866
update and pop for dict by @cgarciae in #4869
simplify nnx_basics by @cgarciae in #4868
updates to version 0.11.1 by @cgarciae in #4878

New Contributors

@SobhanMP made their first contribution in #4796
@sanepunk made their first contribution in #4773

Full Changelog: google/flax@v0.11.0...v0.11.1

`v0.11.0`

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v0.11.0 - Pytrees, MutableArrays, and more!

This version of Flax introduces some changes to improve interop with native JAX and adds support for the new jax.experimental.MutableArray. More on this soon! However, some breaking changes to align with the JAX way of doing things were necessary. Most code should remain intact, however, the following changes deviate from the current behavior:

Rngs in standard layers: all standard layers no longer hold a shared reference to the rngs object given in the constructor, instead they now keep a fork-ed copy of the Rngs or RngStream objects. This impacts Using Rngs in NNX Transforms and Loading Checkpoints with RNGs.
Optimizer Updates: the Optimizer abstraction no longer holds a reference to the model to avoid reference sharing, instead the model must be provided as the first argument to update.
Modules as Pytrees: Modules are now pytrees! This avoid unnecessary use of split and merge when interacting trivially with raw JAX transforms (state must still be manually propagated if not using MutableArrays, and referential transparency is still an issue). This affects when operating on Pytrees containing NNX Objects with jax.tree.* APIs.

Checkout the full NNX 0.10 to NNX 0.11 migration guide.

In the near future we'll share more information about new ways of using NNX with JAX transforms directly by leveraging the new Pytree and MutableArray support. Stay tuned!

What's Changed

[nnx] mutable array p3 by @cgarciae in #4755
[nnx] allow method calls in ToLinen by @cgarciae in #4808
Internal change by @copybara-service[bot] in #4807
Preserve sharding information in axes_scan by @copybara-service[bot] in #4806
Deduplicate contributing and philosophy and move to main site by @IvyZX in #4809
Fixed nnx.remat docstring rendering by @vfdev-5 in #4790
Added a note to gemma guide about model's license consent on kaggle by @vfdev-5 in #4776
[nnx] ToLinen add abtract_init flag by @cgarciae in #4813
Modify NNX to use id(variable) instead of nnx.Variables as dictionary by @divyashreepathihalli in #4814
Allow using LazyRngs for flax init/apply. by @copybara-service[bot] in #4818
[nnx] remove VariableState by @cgarciae in #4800
Fix failing CI jobs: trailing whitespace, deprecated .type usage by @vfdev-5 in #4823
[nnx] fix Rngs dtype check by @cgarciae in #4820
refactor: move usages of .value to [...] in modules_test.py by @lukeyeh in #4815
Added training script for Gemma model by @vfdev-5 in #4822
[nnx] add flax_pytree_module flag by @cgarciae in #4811
create ModelAndOptimizer symbol by @copybara-service[bot] in #4849
[nnx] remove Optimizer.model attribute by @cgarciae in #4842
[nnx] add mutable array support in update by @cgarciae in #4851
Migrate transforms_test.py from .value to [...] by @lukeyeh in #4841
0.11.0 migration guide by @cgarciae in #4854

New Contributors

@divyashreepathihalli made their first contribution in #4814
@lukeyeh made their first contribution in #4815

Full Changelog: google/flax@v0.10.7...v0.11.0

`v0.10.7`: 0.10.7

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What's Changed

Added identity export from JAX by @jlperla in #4652
Fixes a bug in type annotations for scope.param (unbox=True should accept callable[..., T | AxisMEtadata[T]] and return T, while unbox=False should always return the same thing as what callable returning. by @copybara-service in #4727
fix merge by @copybara-service in #4731
[nnx] make Variable a pytree by @cgarciae in #4728
[nnx] add JitWrapped API by @cgarciae in #4699
Update JAX nightly index usage by @copybara-service in #4733
[nnx] mutable array p1 by @cgarciae in #4715
add dataclass by @copybara-service in #4739
[flax] unconditionally register nnx.Variable as a pytree by @copybara-service in #4748
Updated version of pre-commit-hooks in .pre-commit-config.yaml by @vfdev-5 in #4746
Fixed docstring visibility for nnx.eval_shape by @vfdev-5 in #4747
Added keep_rngs arg to MHA to optionally store rngs by @vfdev-5 in #4749
MultiHeadAttention only keeps rngs if dropout_rate is positive by @copybara-service in #4750
[nnx] mutable array p2 by @cgarciae in #4741
Add in_kv_features argument to nnx.MultiHeadAttention, addressing #4756. by @copybara-service in #4757
Fix broken link for Transforms guide by @nireekshak in #4763
Minor improvements of lm1b_nnx example by @vfdev-5 in #4745
Fix head CI tests by @IvyZX in #4764
Fix typos by @nireekshak in #4725
Check for leaves of type variablelib.Variable when getting sharding specs. by @copybara-service in #4769
Fixes #1925 non-str dict keys not suppoted in module state by @muhrin in #4563
Modified the Functional API link by @nireekshak in #4767
Fix hardcoded link to filter guide in docs by @hamogu in #4768
Fix bad doc links by @IvyZX in #4770
revise axes_scan to flatten argument pytrees only once by @copybara-service in #4772
Simplify ToNNX access of Linen module methods by @IvyZX in #4766
Use .input_formats and .output_formats in place of .input_layouts and .output_layouts respectively. by @copybara-service in #4784
Exposed OptState in nnx module by @vfdev-5 in #4788
Fixes colab link for nnx docs by @vfdev-5 in #4775
Internal changes by @copybara-service in #4786
Fix typo in Flax nnx_basics doc. by @copybara-service in #4781
update version to 0.10.7 by @cgarciae in #4798

New Contributors

@nireekshak made their first contribution in #4763
@muhrin made their first contribution in #4563
@hamogu made their first contribution in #4768

Full Changelog: google/flax@v0.10.6...v0.10.7

`v0.10.6`: 0.10.6

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What's Changed

Sow top activations based on absolute value. by @copybara-service in #4670
Add support for layer-specific rope scale factors. by @copybara-service in #4672
Automatic model selection for Gemma 3 models. by @copybara-service in #4671
Make LoRA's dtype arg useful by @IvyZX in #4681
[NVIDIA] Support FP8 Einsum Op by @kaixih in #4686
[nnx] remove deprecated APIs by @cgarciae in #4627
Add attention_bias parameter to MultiHeadDotProductAttention. by @copybara-service in #4694
Unit tests for attention_bias parameter to MultiHeadDotProductAttention. Add parameter to all overloads to make pytype happy. by @copybara-service in #4702
Rollback of attention_bias parameter, because the change overrides the attention bias for injected attention functions. by @copybara-service in #4703
Add custom einsum op to Einsum() by @IvyZX in #4705
[nnx] refactor GraphDef by @cgarciae in #4630
Make fully replicated array before saving checkpoints for examples that use pmap. by @copybara-service in #4707
Fix CI by @cgarciae in #4716
remove "nnx" collection in ToLinen by @copybara-service in #4708
[nnx] flaxlib types by @cgarciae in #4639
v0.10.6 by @cgarciae in #4724

Full Changelog: google/flax@v0.10.5...v0.10.6

`v0.10.5`: 0.10.5

Compare Source

What's Changed

[nnx] fix tabulate by @cgarciae in #4580
Refactor bridge.Module tests from wrappers_test.py to another file. by @copybara-service in #4581
Avoid calls to jnp.shape for non-array inputs. by @jakevdp in #4592
remove Embed nan casting by @cgarciae in #4600
Add QK Norm. by @copybara-service in #4594
Util to let bridge module work with NNX submodules by @IvyZX in #4584
Add configurable Query Pre Attention scalar. by @copybara-service in #4595
Make RoPE Base Frequency configurable. by @copybara-service in #4596
[nnx] pytrees are graph nodes by @cgarciae in #4547
Add option to load checkpoints with transposed Gating Einsum. by @copybara-service in #4597
add top_p sampling in gemma example by @copybara-service in #4591
Fix position and name of Post Attention Norm. by @copybara-service in #4598
Add Sow Config to from_params constructor. by @copybara-service in #4599
bridge module with linen submodule by @IvyZX in #4604
Dramatically speed up sampling compilation time by @copybara-service in #4574
[nnx] improve grad docs by @cgarciae in #4588
[nnx] add support for standalone Variables by @cgarciae in #4606
add promote_dtype as a config option for multiple layers by @cgarciae in #4613
Copybara import of the project: by @copybara-service in #4616
Fixed typo in beam_search loop. by @copybara-service in #4615
support swap model params in gemma sampler by @copybara-service in #4614
Allow bridge module to have 'name' field by @IvyZX in #4619
fix performance guide by @cgarciae in #4621
Copybara import of the project: by @copybara-service in #4618
Add REFLECT padding to convolution layer by @sarlinpe in #4553
fix trace-level detection by @cgarciae in #4527
Add attribute path customization to bridge modules by @IvyZX in #4624
add reprlib max depth flag by @cgarciae in #4632
Allow custom axis metadata annotation during transforms by @IvyZX in #4637
[bridge module] Allow name arg to represent actual submodule path by @IvyZX in #4634
[nnx] improve Variable proxy for binary operations by @cgarciae in #4641
Fix module stack typing annotation. by @copybara-service in #4633
Stop passing reduce_axes to jax.grad, jax.vjp, and jax.value_and_grad. by @copybara-service in #4617
discord release webhook by @cgarciae in #4646
[nnx] support Array leaves in graph nodes by @cgarciae in #4612
Roll up package jax version and uv.lock by @IvyZX in #4648
Use jax.nn.dot_product_attention when possible by @IvyZX in #4649
Fix flaky vmap test tolerance. by @copybara-service in #4653
Test runner ubuntu upgrade 24.04 by @IvyZX in #4659
Fix lazy_init typo by @IvyZX in #4657
deflake a test by @copybara-service in #4663
v0.10.5 by @cgarciae in #4656

New Contributors

@sarlinpe made their first contribution in #4553

Full Changelog: google/flax@v0.10.4...v0.10.5

`v0.10.4`: Release 0.10.4

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What's Changed

update pypi publish by @cgarciae in #4538
[nnx] register_variable_name refactor by @copybara-service in #4540
added support to the accuracy metric for binary classification by @mattbahr in #4536
[nnx] bridge Module by @cgarciae in #4542
[nnx] copy _var_metadata by @copybara-service in #4548
[bridge] fix unbox logic by @copybara-service in #4551
Add is_initializing API by @copybara-service in #4550
[nnx] Add specific model typing for nnx.Optimizer by @marcelroed in #4470
Add linen metadata conversion to linx by @IvyZX in #4552
[bridge] improve Module context by @cgarciae in #4554
Raise error if user uses 'name' in bridge module setup by @IvyZX in #4555
Add deprecation warning to all nnx.State methods by @IvyZX in #4561
[nnx] add shard_map by @cgarciae in #4490
Fix CI breakages from newest jax by @IvyZX in #4576
[bridge] Set _initializing correctly and avoid return RNG states by @copybara-service in #4569
v0.10.4 by @cgarciae in #4579

New Contributors

@mattbahr made their first contribution in #4536
@marcelroed made their first contribution in #4470

Full Changelog: google/flax@v0.10.3...v0.10.4

`v0.10.3`: Version 0.10.3

Compare Source

What's Changed

Fix fori_loop and while_loop on multiple modules by @IvyZX in #4390
Upgrade Flax readme to NNX by @8bitmp3 in #4386
[nnx] add performance guide notebook by @cgarciae in #4384
Automated Code Change by @copybara-service in #4393
[nnx] optimize NodeDef.attributes by @cgarciae in #4399
Fixed the broken link in haiku_to_flax.rst file by @tilakrayal in #4402
[nnx] optimize Variable by @cgarciae in #4400
Update Flax NNX Randomness by @8bitmp3 in #4279
Remove the repeated methods in flax.nnx.Module documentation by @rajasekharporeddy in #4416
Fixed the broken link in linen_to_nnx.rst by @tilakrayal in #4415
[nnx] add FlatState by @cgarciae in #4410
Update async_checkpointer.py reference by @emmanuel-ferdman in #4385
Fix multiple links to Orbax documentation by @Matt-Hurd in #4364
Update links in Why Flax NNX documentation by @rajasekharporeddy in #4425
[nnx] fix transforms guide by @cgarciae in #4421
Add benchmark on state traversal, and a readme by @IvyZX in #4428
Update Flax NNX performance guide by @8bitmp3 in #4401
Create sharding via Partitioned.get_sharding() by @copybara-service in #4427
Update Flax NNX vs JAX Transformations guide by @8bitmp3 in #4286
Upgrade Flax NNX Gemma Sampling Inference doc by @8bitmp3 in #4325
Update NNX merge docs in graph.py by @8bitmp3 in #4411
Fix main and add nnx.fori_loop test by @cgarciae in #4472
Upgrade Flax NNX Filters doc by @8bitmp3 in #4199
Makes flax Modules more compatible with IPython auto-reload. by @copybara-service in #4420
[nnx] RNN: add broadcast_rngs and state_axes APIs by @cgarciae in #4407
Allow nnx.bridge.variables.nnx_attrs_to_linen_vars take nnx.VariableState as argument. by @copybara-service in #4473
[nnx] add state summaries for print and display by @cgarciae in #4438
Copybara import of the project: by @copybara-service in #4475
[nnx] add state summaries for print and display by @copybara-service in #4477
CI: add scheduled test against nightly JAX releases by @jakevdp in #4478
CI: pin actions to specific commits by @jakevdp in #4479
[nnx] fix MultiMetric typing by @cgarciae in #4485
[nnx] fix ToNNX linen_attributes update by @cgarciae in #4486
Remove usages of orbax_utils.save_args_from_target, as this function does nothing (it used to control a checkpointing behavior that has since been optimized away). by @copybara-service in #4482
[nnx] improve Module docs by @cgarciae in #4499
Update einsum layer for Gemma example by @copybara-service in #4498
[nnx] fix fiddle by @cgarciae in #4500
Don't create param in normalization layers instead of create None-value params. by @copybara-service in #4501
Rename variable string mapping utils and move them to variableslib by @IvyZX in #4503
fix LoRA initialization error in nnx layer by @copybara-service in #4502
Remove all Param(None) lines from NNX by @IvyZX in #4504
make gemma FFW LoRA friendly by @copybara-service in #4510
Add nnx.Module.perturb by @IvyZX in #4515
[nnx] add tabulate by @cgarciae in #4493
batch_norm.rst: == should be = by @cool-RR in #4524
v0.10.3 by @cgarciae in #4525

New Contributors

@tilakrayal made their first contribution in #4402
@emmanuel-ferdman made their first contribution in #4385
@Matt-Hurd made their first contribution in #4364

Full Changelog: google/flax@v0.10.2...v0.10.3

`v0.10.2`: Version 0.10.2

Compare Source

What's Changed

Add nnx.fori_loop by @IvyZX in #4353
Linesearch (and lbfgs) support by @jlperla in #4351
Upgrade Flax NNX Haiku Linen migration doc by @8bitmp3 in #4200
Fix PRNG handling in nn.jit under nn.scan. by @copybara-service in #4359
support passing arguments directly to the struct.dataclass decorator by @copybara-service in #4275
Avoid assert_array_equal for PRNG keys. by @copybara-service in #4363
[nnx] support pure dicts by @cgarciae in #4352
[nnx] add data parallel toy example by @cgarciae in #4354
Add logical axis global context support for NNX by @IvyZX in #4350
[nnx] fix ToLinen kwargs by @copybara-service in #4270
[nnx] use HashableMapping instead of FrozenDict by @cgarciae in #4376
[nnx] fix while_loop/fori_loop bug when sharing references by @cgarciae in #4379
Add flax.nnx.eval_shape docstring by @8bitmp3 in #4374
Setup the flaxlib in C++, using Meson and Nanobind. by @copybara-service in #4380
Add flax.nnx.remat docstring by @8bitmp3 in #4373
[nnx] add checkify by @cgarciae in #4381
Lint flax.nnx.while_loop docstring by @8bitmp3 in #4371
Lint flax.nnx.fori_loop docstring by @8bitmp3 in #4370
[nnx] add some optimizations to graph.py by @cgarciae in #4377
update version to 0.10.2 by @cgarciae in #4387

New Contributors

@jlperla made their first contribution in #4351

Full Changelog: google/flax@v0.10.1...v0.10.2

`v0.10.1`: Version 0.10.1

Compare Source

What's Changed

Add Flax NNX GraphDef docstring by @8bitmp3 in #4302
Flesh out the Haiku/Flax guide by @IvyZX in #4305
[nnx] improve mnist tutorial by @cgarciae in #4316
Update Flax Evolution from Linen to NNX guide by @8bitmp3 in #4289
[nnx] try casting integers keys in State.replace_by_pure_dict by @cgarciae in #4317
Fixed nnx examples bad links in the README.md by @vfdev-5 in #4282
Fix philosophy link by @jorisSchaller in #4313
[nnx] add gemma notebook by @cgarciae in #4075
[nnx] improve init_cache docs by @cgarciae in #4291
remove markdown from section titles by @cgarciae in #4322
Avoid depending on JAX internals, which are about to change. by @copybara-service in #4326
Remove outdated compatibility code. by @jakevdp in #4324
fix ruff complaints by @levskaya in #4331
Remove GeGLU activation function and golden tests. by @copybara-service in #4303
Avoid using float32 in normalization for mean/var and scale/bias parameters when force_float32_reductions=False by @copybara-service in #4314
Avoid assert_array_equal on PRNG keys. by @jakevdp in #4332
Fix typos in Flax NNX Migrating from Haiku to Flax by @8bitmp3 in #4337
Add API reference for flax.nnx.nn and improve landing page by @IvyZX in #4338
[nnx] improve transforms guide by @cgarciae in #4333
[nnx] cleanup gemma notebook by @cgarciae in #4334
Remove non-lazy RNG compat mode and flag from flax. by @copybara-service in #4339
[nnx] fix custom_vjp by @cgarciae in #4306
Define model surgery in docs by @8bitmp3 in #4349
[nnx] update State and variables docstrings by @cgarciae in #4346
Add NNX transforms nnx.while_loop and nnx.switch by @IvyZX in #4343
update version to v0.10.1 by @cgarciae in #4345

New Contributors

@vfdev-5 made their first contribution in #4282

Full Changelog: google/flax@v0.10.0...v0.10.1

`v0.10.0`: Version 0.10.0

Compare Source

What's Changed

[nnx] clear nnx basics pip logs by @cgarciae in #4149
Support linen <-> nnx metadata box converging in nnx.bridge by @IvyZX in #4145
Add nnx bridge API reference to site by @IvyZX in #4158
[nnx] use jax-style transforms API in nnx_basics by @cgarciae in #4155
[nnx] improve nnx.scan in_axes/out_axes by @cgarciae in #4157
Support direct quantization for FP8 matmul by @wenscarl in #3922
Upgrade Flax NNX Model Surgery by @8bitmp3 in #4135
[nnx] add more Variable proxy methods by @cgarciae in #4170
[nnx] disallow Array leaves by @copybara-service in #4172
Internal change by @copybara-service in #4176
[nnx] improve landing page and nnx_basics messaging by @cgarciae in #4168
Fixes a small bug in flax.linen.share_scope, where the scopes of children of the module being merged that were created before setup(),were not being updated to point to the new scope, and so they would end up staying under the original tree. by [@copybara-service](https://redirect.github.com

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renovate bot changed the title ~~chore(deps): update dependency flax to v0.10.1~~ chore(deps): update dependency flax to v0.10.2 Nov 19, 2024

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renovate bot changed the title ~~chore(deps): update dependency flax to v0.10.2~~ chore(deps): update dependency flax to v0.10.3 Feb 10, 2025

renovate bot force-pushed the renovate/flax-0.x-lockfile branch from 933ac1a to 8e15679 Compare February 27, 2025 01:45

renovate bot changed the title ~~chore(deps): update dependency flax to v0.10.3~~ chore(deps): update dependency flax to v0.10.4 Feb 27, 2025

renovate bot force-pushed the renovate/flax-0.x-lockfile branch from 8e15679 to e8785ed Compare March 31, 2025 16:49

renovate bot changed the title ~~chore(deps): update dependency flax to v0.10.4~~ chore(deps): update dependency flax to v0.10.5 Mar 31, 2025

renovate bot force-pushed the renovate/flax-0.x-lockfile branch from e8785ed to 821cd95 Compare April 2, 2025 18:22

renovate bot force-pushed the renovate/flax-0.x-lockfile branch from 821cd95 to 4aa34dd Compare April 23, 2025 23:57

renovate bot changed the title ~~chore(deps): update dependency flax to v0.10.5~~ chore(deps): update dependency flax to v0.10.6 Apr 23, 2025

renovate bot force-pushed the renovate/flax-0.x-lockfile branch from 4aa34dd to f2abab1 Compare July 2, 2025 06:51

renovate bot changed the title ~~chore(deps): update dependency flax to v0.10.6~~ chore(deps): update dependency flax to v0.10.7 Jul 2, 2025

renovate bot force-pushed the renovate/flax-0.x-lockfile branch from f2abab1 to e77fdbc Compare July 30, 2025 01:04

renovate bot changed the title ~~chore(deps): update dependency flax to v0.10.7~~ chore(deps): update dependency flax to v0.11.0 Jul 30, 2025

renovate bot force-pushed the renovate/flax-0.x-lockfile branch from e77fdbc to d11b9b4 Compare August 9, 2025 01:06

renovate bot changed the title ~~chore(deps): update dependency flax to v0.11.0~~ chore(deps): update dependency flax to v0.11.1 Aug 9, 2025

chore(deps): update dependency flax to v0.11.2

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renovate bot force-pushed the renovate/flax-0.x-lockfile branch from d11b9b4 to 19f2316 Compare August 31, 2025 11:16

renovate bot changed the title ~~chore(deps): update dependency flax to v0.11.1~~ chore(deps): update dependency flax to v0.11.2 Aug 31, 2025

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chore(deps): update dependency flax to v0.11.2 #587

chore(deps): update dependency flax to v0.11.2 #587

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renovate bot commented Jul 13, 2024 •

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chore(deps): update dependency flax to v0.11.2 #587

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Release Notes

v0.11.2: 0.11.2

What's Changed

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New Contributors

v0.11.1

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v0.11.0

v0.11.0 - Pytrees, MutableArrays, and more!

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v0.10.7: 0.10.7

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v0.10.6: 0.10.6

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v0.10.5: 0.10.5

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v0.10.4: Release 0.10.4

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New Contributors

v0.10.3: Version 0.10.3

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New Contributors

v0.10.2: Version 0.10.2

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v0.10.1: Version 0.10.1

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v0.10.0: Version 0.10.0

What's Changed

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renovate bot commented Jul 13, 2024 •

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`v0.11.2`: 0.11.2

`v0.11.1`

`v0.11.0`

`v0.10.7`: 0.10.7

`v0.10.6`: 0.10.6

`v0.10.5`: 0.10.5

`v0.10.4`: Release 0.10.4

`v0.10.3`: Version 0.10.3

`v0.10.2`: Version 0.10.2

`v0.10.1`: Version 0.10.1

`v0.10.0`: Version 0.10.0