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v0.0.10
v0.0.11
v0.0.2
v0.0.3
v0.0.4
v0.0.5
v0.0.6
v0.0.7
v0.0.9
v0.1.0
v0.10.0
v0.11.0
v0.11.1
v0.12.0
v0.12.1
v0.12.2
v0.13.0
v0.13.1
v0.14.0
v0.14.1
v0.15.0
v0.15.1
v0.15.2
v0.16.0
v0.16.1
v0.16.2
v0.16.3
v0.17.0
v0.17.1
v0.17.2
v0.17.3
v0.18.0
v0.18.1
v0.19.0
v0.19.1
v0.19.2
v0.19.3
v0.2.0
v0.20.0
v0.21.0
v0.21.1
v0.22.0
v0.22.1
v0.23.0
v0.23.1
v0.23.2
v0.24.0
v0.24.1
v0.24.2
v0.25.0
v0.25.1
v0.25.2
v0.26.0
v0.26.1
v0.26.2
v0.26.3
v0.26.5
v0.27.1
v0.28.0
v0.29.0
v0.29.1
v0.29.2
v0.29.3
v0.29.4
v0.3.0
v0.30.0
v0.4.0
v0.5.0
v0.5.1
v0.6.0
v0.7.0
v0.8.0
v0.8.1
v0.9.0
v0.9.1
-
728d4db582
Support destination arg in tree flatten/unflatten (#2450)
Luca Vivona
2025-08-06 18:34:59 -04:00 -
99d8de8445
Fix cudnn routing
Jagrit Digani
2025-08-06 15:05:58 -07:00 -
c66b76a8c8
Update routing
Jagrit Digani
2025-08-06 15:01:15 -07:00 -
f81edd184f
Complete 2 pass sdpav
Jagrit Digani
2025-08-06 13:57:40 -07:00 -
7f8ba2a003
[WIP] 2 pass sdpav
Jagrit Digani
2025-08-06 09:54:41 -07:00 -
c28249b81a
Add more nvtx range for debug
Jagrit Digani
2025-08-01 12:49:24 -07:00 -
e74bcdc5e3
Add sdpa file
Jagrit Digani
2025-07-25 12:30:50 -07:00 -
d8ed6c1aa3
Add base cudnn attention support
Jagrit Digani
2025-07-25 12:30:22 -07:00 -
db5c7efcf6
revert default cuda install (#2465)
Awni Hannun
2025-08-06 06:19:12 -07:00 -
7bb96e4249
fix cublas on h100 (#2466)
Awni Hannun
2025-08-06 06:18:58 -07:00 -
fa89f0b150
faster gather qmm sorted test (#2463)
Awni Hannun
2025-08-05 06:27:40 -07:00 -
ca973d1e83
fix install tags (#2464)
Awni Hannun
2025-08-04 20:01:23 -07:00 -
828c5f1137
Use SmallVector for shapes and strides (#2454)
Cheng
2025-08-05 09:41:03 +09:00 -
7d86a5c108
Feat: add USE_SYSTEM_FMT CMake option (#2219)
Gaétan Lepage
2025-08-05 01:36:11 +02:00 -
0b807893a7
fix wraps compile (#2461)
Awni Hannun
2025-08-04 16:14:18 -07:00 -
6ad0889c8a
default install cuda on linux (#2462)
Awni Hannun
2025-08-04 15:33:05 -07:00 -
737dd6d1ac
Add missing <algorithm> header to jit_compiler.cpp (#2460)
Zamderax
2025-08-04 14:00:46 -07:00 -
aaf78f4c6b
Use LRU cache for cuda graph (#2448)
Cheng
2025-08-02 21:28:57 +09:00 -
8831064493
Fix arctan2 grads (#2453)
Angelos Katharopoulos
2025-08-01 21:06:04 -07:00 -
be9bc96da4
[CUDA] Matmul utils initial commit (#2441)
Angelos Katharopoulos
2025-08-01 14:22:25 -07:00 -
86258f292f
[CUDA] Vectorize generated kernels (#2444)
Angelos Katharopoulos
2025-07-31 18:18:57 -07:00 -
b26d88591c
[CUDA] Save primitive inputs faster (#2449)
Cheng
2025-08-01 10:16:06 +09:00 -
86c6a15571
[CUDA] Backward convolution (#2431)
Cheng
2025-08-01 09:54:05 +09:00 -
8b25ce62d5
Add tests for export including control flow models and quantized models (#2430)
junpeiz
2025-07-31 11:06:26 -07:00 -
da5912e4f2
fix custom metal extension (#2446)
Awni Hannun
2025-07-31 06:25:36 -07:00 -
daafee676f
Fix wrong graph key when using concurrent context (#2447)
Cheng
2025-07-31 22:01:05 +09:00 -
d32519c8ee
fix gemv regression (#2445)
Awni Hannun
2025-07-30 14:23:01 -07:00 -
b405591249
fix circular reference (#2443)
Awni Hannun
2025-07-30 09:37:44 -07:00 -
3bf81ed1bd
[CUDA] Quantized refactoring (#2442)
Angelos Katharopoulos
2025-07-30 08:27:20 -07:00 -
2204182bba
Make CI faster (#2440)
Cheng
2025-07-30 18:26:36 +09:00 -
3628e5d497
Use load_vector in arg_reduce (#2439)
Cheng
2025-07-30 17:40:26 +09:00 -
a0ae49d397
Move arange to its own file (#2438)
Cheng
2025-07-30 13:05:51 +09:00 -
254476718b
Remove the kernel arg from get_launch_args (#2437)
Cheng
2025-07-30 11:43:02 +09:00 -
3adba92ebe
Cuda faster softmax (#2435)
Awni Hannun
2025-07-29 17:18:12 -07:00 -
ef631d63af
faster rms norm (#2433)
Awni Hannun
2025-07-29 13:12:00 -07:00 -
970dbe8e25
Use ccache in CI (#2414)
Cheng
2025-07-29 08:43:22 +09:00 -
641be9463b
Add more CUDA architectures for PyPi package (#2427)
Awni Hannun
2025-07-28 12:35:15 -07:00 -
ab0e608862
[CUDA] More sizes for gemv (#2429)
Awni Hannun
2025-07-28 12:35:01 -07:00 -
1588659062
no occupancy query for launch params (#2426)
Awni Hannun
2025-07-28 09:09:41 -07:00 -
b9e88fb976
[CUDA] Fix segfault on exit (#2424)
Awni Hannun
2025-07-27 08:08:13 -07:00 -
4ad53414dd
fix cuda pypi package (#2423)
v0.27.1
Awni Hannun
2025-07-25 15:20:29 -07:00 -
d1165b215e
version (#2420)
Awni Hannun
2025-07-25 13:29:28 -07:00 -
dcb8319f3d
update install docs and requirements (#2419)
Awni Hannun
2025-07-25 12:13:19 -07:00 -
5597fa089c
Fix qvm splitk (#2415)
Awni Hannun
2025-07-25 11:50:24 -07:00 -
9acec364c2
[CUDA] Always use batched matmul (#2404)
Awni Hannun
2025-07-24 20:46:02 -07:00 -
7d9d6ef456
docs: fix adam and adamw eps placement (#2416)
Skonor
2025-07-24 16:40:45 -07:00 -
6f5874a2f2
[CUDA] Initial implementation of Convolution with cuDNN (#2385)
Cheng
2025-07-25 08:12:10 +09:00 -
70dc336785
Test on cuda 12.2 and 12.9 (#2413)
Awni Hannun
2025-07-24 06:06:15 -07:00 -
4e504039f5
[Metal] Release metal events (#2412)
Awni Hannun
2025-07-23 19:53:42 -07:00 -
d1f4d291e8
Fix uv install and add dev release (#2411)
Awni Hannun
2025-07-23 16:54:19 -07:00 -
e1840853ce
full row mask in sdpa consistently gives nan (#2406)
Awni Hannun
2025-07-23 16:37:03 -07:00 -
0f5ce173da
[CUDA] --compress-mode requires CUDA 12.8 (#2407)
Cheng
2025-07-23 22:11:11 +09:00 -
588854195f
Remove unused code in Convolution::vjp (#2408)
Cheng
2025-07-23 22:11:00 +09:00 -
28d068bce6
Fix an error in the comment for mx.dequantize (#2409)
Fangjun Kuang
2025-07-23 21:10:50 +08:00 -
8269c9d02d
Support unaligned M
qmm
Angelos Katharopoulos
2025-07-23 00:40:27 -07:00 -
903b40627c
Add dynamic shared memory and improve qmm
Angelos Katharopoulos
2025-07-22 23:36:53 -07:00 -
d107d8d495
add cuda gemv (#2400)
Awni Hannun
2025-07-22 08:24:13 -07:00 -
1e496ddb82
[CUDA] Simplify allocator (#2392)
Awni Hannun
2025-07-22 08:24:01 -07:00 -
74eccbf3fa
use size option in binary (#2399)
Awni Hannun
2025-07-22 07:00:53 -07:00 -
08638223ca
Fix including stubs in wheel (#2398)
Awni Hannun
2025-07-22 06:30:17 -07:00 -
700f7dcf01
Refactor the matmul a bit
Angelos Katharopoulos
2025-07-21 23:38:21 -07:00 -
56cc858af9
Add contiguous_copy_cpu util for copying array (#2397)
Cheng
2025-07-21 23:30:35 +09:00 -
f55c4ed1d6
Remove thrust iterators (#2396)
Cheng
2025-07-21 23:30:27 +09:00 -
6c60bd1cbf
Fixed mma and working dequant
Angelos Katharopoulos
2025-07-21 04:39:27 -07:00 -
a64cc02a0c
Somewhat working matmul primitives
Angelos Katharopoulos
2025-07-21 02:22:25 -07:00 -
346ae5fdb5
Refactor quantized
Angelos Katharopoulos
2025-07-16 16:22:25 -07:00 -
93d70419e7
[CUDA] speedup handling scalars (#2389)
Awni Hannun
2025-07-18 21:47:31 -07:00 -
63f663d9c6
fix cuda manylinux version to match others (#2388)
Awni Hannun
2025-07-18 21:02:16 -07:00 -
84b4d96efa
fix release build + patch bump (#2387)
v0.26.5
Awni Hannun
2025-07-18 14:47:37 -07:00 -
aec67f2fa6
patch bump (#2386)
Awni Hannun
2025-07-18 12:25:48 -07:00 -
deee214a95
Adding support for the Muon Optimizer (#1914)
Gökdeniz Gülmez
2025-07-18 21:25:28 +02:00 -
45adec102c
Add contiguous_copy_gpu util for copying array (#2379)
Cheng
2025-07-18 22:44:25 +09:00 -
31fc530c76
[CUDA] Add more ways finding CCCL headers in JIT (#2382)
Cheng
2025-07-18 07:25:34 +09:00 -
fbb3f65a1a
fix resource leaks in matmul and graph (#2383)
Awni Hannun
2025-07-17 06:50:15 -07:00 -
6b1b8ea91b
[CUDA] Add work per thread to compile (#2368)
Angelos Katharopoulos
2025-07-17 06:47:52 -07:00 -
b2273733ea
Test with CUDA 12.2 (#2375)
Awni Hannun
2025-07-16 13:00:37 -07:00 -
f409b229a4
fix ring distributed test (#2380)
Awni Hannun
2025-07-16 11:25:24 -07:00 -
30571e2326
Rename the copy util in cpu/copy.h to copy_cpu (#2378)
Cheng
2025-07-16 23:34:24 +09:00 -
d7734edd9f
fix complex reduce + nan propagation in min and max (#2377)
Awni Hannun
2025-07-15 18:19:47 -07:00 -
2ba69bc8fa
lower memory uniform sampling (#2361)
Awni Hannun
2025-07-15 14:22:07 -07:00 -
cb349a291c
[CUDA] Use cuda::std::complex in place of cuComplex (#2372)
Cheng
2025-07-15 16:36:13 +09:00 -
f0a0b077a0
Install linux with mlx[cuda] and mlx[cpu] (#2356)
Awni Hannun
2025-07-14 17:17:33 -07:00 -
49114f28ab
fix flaky test (#2371)
Awni Hannun
2025-07-14 17:16:18 -07:00 -
e7d2ebadd2
[CUDA] Affine quantize (#2354)
Awni Hannun
2025-07-14 15:45:44 -07:00 -
e569803d7c
update linux build (#2370)
Awni Hannun
2025-07-14 15:13:56 -07:00 -
d34f887abc
Add Primitive::name and remove Primitive::print (#2365)
Cheng
2025-07-15 06:06:35 +09:00 -
5201df5030
Fix imag() vjp (#2367)
Angelos Katharopoulos
2025-07-14 13:11:16 -07:00 -
2d3c26c565
[CUDA] Do not put kernels in annoymous namespace (#2362)
Cheng
2025-07-13 06:24:45 +09:00 -
6325f60d52
[CUDA] Bundle CCCL for JIT compilation (#2357)
Cheng
2025-07-12 10:45:37 +09:00 -
a9c720e8cd
Improve the ring backend initialization
ring-init
Angelos Katharopoulos
2025-07-11 15:31:28 -07:00 -
42cc9cfbc7
fix copy dispatch (#2360)
Awni Hannun
2025-07-11 10:59:35 -07:00 -
8347575ba1
[CUDA] Implement Scan kernel (#2347)
Cheng
2025-07-11 08:54:12 +09:00 -
b6eec20260
Fix edge check in qmm_n QuantizedLoader (#2355)
Angelos Katharopoulos
2025-07-10 16:28:50 -07:00 -
0eb035b4b1
Fix type promotion in Adam with bias correction (#2350)
Angelos Katharopoulos
2025-07-10 11:14:42 -07:00 -
afb9817599
[CUDA] Put version in ptx cache dir path (#2352)
Cheng
2025-07-10 23:24:21 +09:00 -
8fb3e7a26c
[CUDA] Set current device before cudaGraphLaunch (#2351)
Cheng
2025-07-10 23:24:02 +09:00 -
8c7bc30ce4
Align mlx::core::min op nan propagation with NumPy (#2346)
jhavukainen
2025-07-10 06:20:43 -07:00 -
85873cb162
[CUDA] Do vectorized store/load in contiguous elementwise ops (#2342)
Cheng
2025-07-10 10:48:43 +09:00 -
e14ee12491
add zero for argsort vjp (#2345)
Awni Hannun
2025-07-09 14:37:14 -07:00 -
8b9a3f3cea
Align mlx::core::max op nan propagation with NumPy (#2339)
jhavukainen
2025-07-09 11:26:27 -07:00