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## brainpy>2.3.x
### Version 2.6.1
#### Breaking Changes
- Fixing compatibility issues between `numpy` and `jax`

#### What's Changed
* [doc] Add Chinese version of `operator_custom_with_cupy.ipynb` and Rename it's title by @Routhleck in https://github.com/brainpy/BrainPy/pull/659
* Fix "amsgrad" is used before being defined when initializing the AdamW optimizer by @CloudyDory in https://github.com/brainpy/BrainPy/pull/660
* fix issue #661 by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/662
* fix flax RNN interoperation, fix #663 by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/665
* [fix] Replace jax.experimental.host_callback with jax.pure_callback by @Routhleck in https://github.com/brainpy/BrainPy/pull/670
* [math] Update `CustomOpByNumba` to support JAX version >= 0.4.24 by @Routhleck in https://github.com/brainpy/BrainPy/pull/669
* [math] Fix `CustomOpByNumba` on `multiple_results=True` by @Routhleck in https://github.com/brainpy/BrainPy/pull/671
* [math] Implementing event-driven sparse matrix @ matrix operators by @Routhleck in https://github.com/brainpy/BrainPy/pull/613
* [math] Add getting JIT connect matrix method for `brainpy.dnn.linear` by @Routhleck in https://github.com/brainpy/BrainPy/pull/672
* [math] Add get JIT weight matrix methods(Uniform & Normal) for `brainpy.dnn.linear` by @Routhleck in https://github.com/brainpy/BrainPy/pull/673
* support `Integrator.to_math_expr()` by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/674
* [bug] Replace `collections.Iterable` with `collections.abc.Iterable` by @Routhleck in https://github.com/brainpy/BrainPy/pull/677
* Fix surrogate gradient function and numpy 2.0 compatibility by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/679
* :arrow_up: Bump docker/build-push-action from 5 to 6 by @dependabot in https://github.com/brainpy/BrainPy/pull/678
* fix the incorrect verbose of `clear_name_cache()` by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/681
* [bug] Fix prograss bar is not displayed and updated as expected by @Routhleck in https://github.com/brainpy/BrainPy/pull/683
* Fix autograd by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/687


**Full Changelog**: https://github.com/brainpy/BrainPy/compare/V2.6.0...V2.6.1

### Version 2.6.0

#### New Features

This release provides several new features, including:

- ``MLIR`` registered operator customization interface in ``brainpy.math.XLACustomOp``.
- Operator customization with CuPy JIT interface.
- Bug fixes.



#### What's Changed
* [doc] Fix the wrong path of more examples of `operator customized with taichi.ipynb` by @Routhleck in https://github.com/brainpy/BrainPy/pull/612
* [docs] Add colab link for documentation notebooks by @Routhleck in https://github.com/brainpy/BrainPy/pull/614
* Update requirements-doc.txt to fix doc building temporally by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/617
* [math] Rebase operator customization using MLIR registration interface by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/618
* [docs] Add kaggle link for documentation notebooks by @Routhleck in https://github.com/brainpy/BrainPy/pull/619
* update requirements by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/620
* require `brainpylib>=0.2.6` for `jax>=0.4.24` by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/622
* [tools] add `brainpy.tools.compose` and `brainpy.tools.pipe` by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/624
* doc hierarchy update by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/630
* Standardizing and generalizing object-oriented transformations by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/628
* fix #626 by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/631
* Fix delayvar not correct in concat mode by @CloudyDory in https://github.com/brainpy/BrainPy/pull/632
* [dependency] remove hard dependency of `taichi` and `numba` by @Routhleck in https://github.com/brainpy/BrainPy/pull/635
* `clear_buffer_memory()` support clearing `array`, `compilation`, and `names` by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/639
* add `brainpy.math.surrogate..Surrogate` by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/638
* Enable brainpy object as pytree so that it can be applied with ``jax.jit`` etc. directly by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/625
* Fix ci by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/640
* Clean taichi AOT caches by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/643
* [ci] Fix windows pytest fatal exception by @Routhleck in https://github.com/brainpy/BrainPy/pull/644
* [math] Support more than 8 parameters of taichi gpu custom operator definition by @Routhleck in https://github.com/brainpy/BrainPy/pull/642
* Doc for ``brainpylib>=0.3.0`` by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/645
* Find back updates by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/646
* Update installation instruction by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/651
* Fix delay bug by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/650
* update doc by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/652
* [math] Add new customize operators with `cupy` by @Routhleck in https://github.com/brainpy/BrainPy/pull/653
* [math] Fix taichi custom operator on gpu backend by @Routhleck in https://github.com/brainpy/BrainPy/pull/655
* update cupy operator custom doc by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/656
* version 2.6.0 by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/657
* Upgrade CI by @chaoming0625 in https://github.com/brainpy/BrainPy/pull/658

## New Contributors
* @CloudyDory made their first contribution in https://github.com/brainpy/BrainPy/pull/632

**Full Changelog**: https://github.com/brainpy/BrainPy/compare/V2.5.0...V2.6.0


### Version 2.5.0
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