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Author SHA1 Message Date
Awni Hannun
e88f2d4a8e fix cross entropy axis param (#2641) 
* fix cross entropy axis param

* faster grad clipping
 2025-10-01 16:49:55 -07:00
Angelos Katharopoulos
9cee557423 Fix status message (#2638) 2025-10-01 16:43:45 -07:00
Awni Hannun
bbf1423953 wait for tasks in cuda (#2636) 2025-09-30 16:08:46 -07:00
Angelos Katharopoulos
eb24267b56 Compile now can attach arbitrary data to an entry (#2634) 2025-09-30 13:33:27 -07:00
Awni Hannun
dc371ae7a5 fix for max block dim (#2631) 2025-09-29 08:59:25 -07:00
AN Long
e76a8dd5c5 Fix incorrect path and typos (#2630) 2025-09-28 06:03:04 -07:00
Cheng
b466dea982 [CUDA] Make CudaEvent work with multi-device (#2614) 
* Set current device when creating cuda event

* Separate cuda events by device

* Avoid race condition in pool
 2025-09-27 11:27:17 +09:00
Angelos Katharopoulos
7a6adda1e6 Bump the version (#2627) v0.29.2 2025-09-26 15:15:28 -07:00
Angelos Katharopoulos
1a9f820af6 Compiled should not end in broadcast (#2622) 2025-09-26 13:36:09 -07:00
Awni Hannun
d4f4ff3c5e Allow None input to compiled functions (#2621) 
* Allow None input to compiled functions

* Allow None input to compiled functions
 2025-09-25 08:42:23 -07:00
Jagrit Digani
7c7e48dbd1 New tuning for small K gemv (#2620) 
* New tuning for small K gemv
 2025-09-23 12:28:35 -07:00
Daniel Yeh
fbbf3b9b3e Support pickling array for bfloat16 (#2586) 
* add bfloat16 pickling

* Improvements

* improve

---------

Co-authored-by: Chen-Chen Yeh <ge96noj@mytum.de>
 2025-09-22 20:12:15 -07:00
Daniel Yeh
bf01ad9367 fix (#2613) 
Co-authored-by: Chen-Chen Yeh <ge96noj@mytum.de>
 2025-09-22 20:12:04 -07:00
Cheng
ae438d05fa [CUDA] Recycle CUDA events (#2604) 
* Make CudaEvent a CudaHandle

* Add caching for CudaEvent

* Make sure cuda events are destroyed at last

* Fix headers

* SharedEvent => AtomicEvent

* RawCudaEvent => CudaEventHandle, CudaEventWrapper => CopyableCudaEvent

* Remove unneeded asserts
 2025-09-23 10:42:03 +09:00
Awni Hannun
711a645807 avoid producing NaN in attention (#2608) 2025-09-22 13:10:43 -07:00
Josh Bleecher Snyder
aa9d44b3d4 implement Convolution::output_shape (#2601) 
- pull conv_out_shape out for re-use
- add Conv::output_shape
- add e2e python tests confirming shapeless=True support and correctness

Updates #2599
 2025-09-22 10:09:45 -07:00
Awni Hannun
ec2ab42888 Lower sorted QMM gather threshold (#2609) 2025-09-19 18:22:55 -07:00
Cheng
787c0d90cd Detect cache thrashing in LRUCache (#2600) 
* Detect cache thrashing in LRUCache

* Do not check cache thrashing in tests
 2025-09-19 09:12:14 +09:00
Oleksandr Bilous
e8b604a6a3 fix: library loading for swift dynamic frameworks (#2568) 2025-09-18 13:54:59 -07:00
Awni Hannun
50cc09887f expose depends (#2606) 2025-09-18 10:06:15 -07:00
Umberto Mignozzetti
3f730e77aa Update export function example for array input (#2598) 
After changing the shape to conform (same shapes for all objects), the example works.
 2025-09-16 14:38:05 -07:00
Awni Hannun
caecbe876a no copy batch rope (#2595) 2025-09-15 14:23:48 -07:00
Umberto Mignozzetti
8afb6d62f2 Fix typo in average_gradients function call (#2594) 2025-09-15 11:29:21 -07:00
Awni Hannun
6ccfa603cd fix metal scan (#2591) 2025-09-15 11:01:57 -07:00
Umberto Mignozzetti
36cad99a11 Refactor code examples to use 'gelu' (#2592) 
Updated code examples to use 'gelu' directly instead of 'nn.gelu'.
 2025-09-15 09:47:02 -07:00
Awni Hannun
ee18e1cbf0 patch bump (#2588) v0.29.1 2025-09-11 17:10:09 -07:00
Awni Hannun
af120c2bc0 set nccl ABI version (#2587) 2025-09-11 16:55:53 -07:00
Cheng
6a3acf2301 [CUDA] Set bias as input when using bias epilogue (#2584) 2025-09-11 15:31:09 +09:00
Awni Hannun
d6977f2a57 Add sdpa with sinks (#2558) 
* add sdpa with sinks

* fix 2 pass

* fix matrix sdpa

* fix perf regression

* add to cuda (#2580)
 2025-09-10 14:53:00 -07:00
Gökdeniz Gülmez
db5443e831 Adding Relu2 (#2582) 
* in. com.

* upd. ackn.

* update __init__

* nits

* nits + format

* used mx.maximum(x, 0) instead of calling the function and moves relu6 under relu2 to make it nicer

* same with _make_activation_module

* Update python/mlx/nn/layers/activations.py

upd

Co-authored-by: Awni Hannun <awni.hannun@gmail.com>

* update funct.rst

* upd. layers.rst

---------

Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
 2025-09-10 07:24:30 -07:00
Cheng
52b8384d10 Fix flaky addmm tests (#2581) 2025-09-10 14:22:22 +09:00
Cheng
44cc5da4bc [CUDA] Fix alpha not respected when using bias epilogue (#2578) 2025-09-10 09:08:01 +09:00
Cheng
dde3682b69 [CUDA] Use GEMM with epilogue instead of AddMM (#2569) 2025-09-09 13:18:49 +09:00
Awni Hannun
17310d91a6 Add batch offsets for mx.fast.rope (#2564) 
* implement batch rope for Metal

* cuda rope (#2576)
 2025-09-08 17:35:07 -07:00
Cheng
b194d65a6a Some tweaks in cmake files (#2574) 
* Do proper check of Metal lib

* Update doctest to get rid of cmake version hack
 2025-09-09 08:27:18 +09:00
Cheng
a44b27f5f8 Fix a few ccache cache miss (#2573) 
* Fix ccache cache miss

* Do not define _VERSION_ in python bindings
 2025-09-09 07:41:05 +09:00
Awni Hannun
e5a33f2223 faster depthwise 1D conv (#2567) 2025-09-08 11:37:23 -07:00
Cheng
c1e3340b23 Set ccache size before building (#2570) 2025-09-07 09:00:31 +09:00
XXXXRT666
8f163a367d typing: add type hints to mlx.core.array, linalg, distributed, and random (#2565) 
* Add type annotations to mlx methods

* Missing list_or_scalar
 2025-09-04 09:08:11 -07:00
Manuel Villanueva
89a3df9014 Fixed several type annotations in the MLX stubs which degraded to Unknown/Any (#2560) 
* Added scalar to stubs to fix Unkown Type Hint

### Proposed changes

Issue #2478 reports that several type annotations in the MLX stubs degrade to Unknown/Any in editors like VS Code with Pylance, due to missing imports (Union, Optional, Tuple) and an undefined scalar type alias.

This PR updates the stub generation patterns to:
	•	Add missing typing imports in mlx.core.__prefix__ so that Union, Optional, Tuple, etc. are always available.
	•	Define and export scalar: TypeAlias = Union[int, float, bool] in mlx.core.__suffix__ so that functions typed with Union[scalar, array] resolve correctly instead of falling back to Any.
	•	Update submodule stub prefixes (distributed, fast, linalg, metal, random) to import scalar alongside array, Device, and Stream, ensuring type checkers resolve the union consistently across modules.

With these changes, functions like mlx.add now display rich type signatures such as:

```
def add(
    a: scalar | array,
    b: scalar | array,
    stream: Stream | Device | None = None
) -> array
```

instead of degrading to Any.

### Checklist

	•	I have read the CONTRIBUTING document
	•	I have run pre-commit run --all-files to format my code / installed pre-commit prior to committing changes
	•	I have added tests that prove my fix is effective or that my feature works (n/a — stub generation only)
	•	I have updated the necessary documentation (if needed)

* add bool to patterns

---------

Co-authored-by: Awni Hannun <awni@apple.com>
 2025-09-03 12:52:08 -07:00
Krishi Saripalli
c5d2937aa5 chore: Update Docs With Slice Copy Example (#2559) 
* chore: updated docs with slice copy example

* nits

---------

Co-authored-by: Awni Hannun <awni@apple.com>
 2025-09-02 22:07:02 -07:00
Awni Hannun
b61a65e313 fix copies in sdpa (#2563) 2025-09-02 11:00:36 -07:00
wrmsr
04cbb4191c Fix dequantize python sig (#2562) 2025-09-01 11:50:20 -07:00
Artur Antonov
c5460762e7 Fix AdamW weight_decay default value in docstring (#2557) 2025-08-31 21:29:30 -07:00
Awni Hannun
8ce49cd39e fix quantized vjp for mxfp4 (#2555) v0.29.0 2025-08-29 10:06:15 -07:00
Awni Hannun
9c68b50853 version bump (#2554) 2025-08-29 06:54:17 -07:00
Awni Hannun
111f1e71af Faster contiguous gather for indices in the first axis (#2552) 
* faster contiguous gather for indices in the first axis

* work per thread > 1

* angelos suggestion for scales / biases
 2025-08-28 21:26:30 -07:00
Awni Hannun
827003d568 fix METAL quantization in JIT (#2553) 2025-08-28 18:26:25 -07:00
Awni Hannun
d363a76aa4 Bump xcode in circle (#2551) 
* bump xcode in circle

* bump xcode in circle

* bump xcode in circle
 2025-08-28 13:13:34 -07:00
Awni Hannun
70560b6bd5 Add mode parameter for quantization (#2499) 
* add mode parameter for quantization

* mxfp4 quantize/dequantize + start of optional biases

* mxfp4 works

* speedup

* cpu mxfp4

* fix

* fix test tol

* fix

* refactor

* add quant mode enum
 2025-08-28 06:45:26 -07:00