Awni Hannun
a14aaa7c9d
Fix cuda arg reduce ( #2291 )
2025-06-14 17:54:00 -07:00
Awni Hannun
a6d780154f
fix cuda gemm for bf16 ( #2288 )
2025-06-13 22:10:46 -07:00
Awni Hannun
6871e2eeb7
fix cuda jit ( #2287 )
2025-06-13 19:21:46 -07:00
Awni Hannun
8402a2acf4
Fix complex power and print ( #2286 )
...
* fix complex power and print
* fix complex matmul shape
2025-06-13 11:13:00 -07:00
Jagrit Digani
fddb6933e1
Collection of refactors ( #2274 )
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* Refactor gemv into a function
* Refactor splitk step 1
* Refactor split k axpby
* Rearrange steel_gemm_regular
* Redirect steel_gemm_regular
* Add axpby routing to steel_matmul_regular
* Refactor AddMM step 1
* Redirect steel_gemm
* Update addmm
* Comments and format
* Some cleanup
* Add architecture gen to device
* Update no copy condition in normalization to account for axis size 1
2025-06-13 10:44:56 -07:00
Cheng
c8b4787e4e
CUDA backend: indexing ops ( #2277 )
2025-06-12 21:44:19 -07:00
Awni Hannun
2188199ff8
[CUDA] ternary with select op ( #2283 )
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* cuda ternary with select op
* comment + fix
* fix
2025-06-12 20:24:43 -07:00
Awni Hannun
aa07429bad
Fix cuda build ( #2284 )
2025-06-12 17:48:05 -07:00
Awni Hannun
918761a25a
[CUDA] RMSNorm and VJP ( #2280 )
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* rms norm start
* nit
2025-06-12 17:09:49 -07:00
Cheng
a4fc671d3e
CUDA backend: compile ( #2276 )
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* CUDA backend: compile
* Rename kernels/ to device/
2025-06-12 17:08:39 -07:00
Awni Hannun
f5f65ef48c
Make sliceUpdate general ( #2282 )
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* Make sliceUpdate general
* fix
2025-06-12 16:48:54 -07:00
Cheng
c2dd81a8aa
Fix warnings from latest CUDA toolkit ( #2275 )
2025-06-12 06:03:01 -07:00
Cheng
d7e680ffe4
CUDA backend: layernorm ( #2271 )
2025-06-11 15:48:32 -07:00
Cheng
c371baf53a
CUDA backend: softmax ( #2272 )
2025-06-11 13:55:22 -07:00
Cheng
ccf78f566c
CUDA backend: argreduce ( #2270 )
2025-06-11 13:26:17 -07:00
Cheng
c9fa68664a
CUDA backend: reduce ( #2269 )
2025-06-11 11:22:25 -07:00
Awni Hannun
c35f4d089a
start cuda circle config ( #2256 )
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* rebase
* fix metal kernel linking issue on cuda
* start cuda circle config
2025-06-10 21:19:47 -07:00
Angelos Katharopoulos
8590c0941e
Add load_safe to the general conv loaders ( #2258 )
2025-06-10 20:58:16 -07:00
Cheng
095163b8d1
Fix building cpp benchmarks on Linux ( #2268 )
2025-06-10 17:10:24 -07:00
Cheng
99c33d011d
rebase + nit ( #2260 )
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Co-authored-by: Awni Hannun <awni@apple.com>
2025-06-10 10:51:51 -07:00
Awni Hannun
62fecf3e13
fix conv export ( #2265 )
2025-06-10 09:34:01 -07:00
Cheng
7c4eb5d03e
CUDA backend: random ( #2261 )
2025-06-10 08:59:56 -07:00
Cheng
bae9a6b404
CUDA backend: sort ( #2262 )
...
Co-authored-by: Awni Hannun <awni@apple.com>
2025-06-10 08:59:47 -07:00
Christopher Fleetwood
004c1d8ef2
Report number of missing parameters ( #2264 )
...
* chore: inform
* chore: format
---------
Co-authored-by: FL33TW00D <FL33TW00D@users.noreply.github.com>
2025-06-10 06:37:50 -07:00
Cheng
7ebb2e0193
CUDA backend: binary ops ( #2259 )
2025-06-10 06:37:40 -07:00
Awni Hannun
9ce77798b1
fix export to work with gather/scatter axis ( #2263 )
2025-06-09 20:37:27 -07:00
Cheng
f8bad60609
CUDA backend: unary ops ( #2158 )
2025-06-09 06:45:08 -07:00
Emmanuel Ferdman
5866b3857b
Refactor the lu test ( #2250 )
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Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
2025-06-07 06:12:08 -07:00
Awni Hannun
1ca616844b
Fix unintuitive metal kernel caching ( #2242 )
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* Fix unintuitive metal kernel caching
* alternative solution
2025-06-06 20:08:15 -07:00
Angelos Katharopoulos
2e8cf0b450
Change layernorms to two pass algorithm ( #2246 )
2025-06-06 13:34:56 -07:00
Cheng
24f89173d1
CUDA backend: matmul ( #2241 )
2025-06-06 12:24:04 -07:00
Awni Hannun
c6a20b427a
Improve metal elementwise kernels ( #2247 )
...
* improve metal elementwise kernels
* compile and copy
* fix jit
2025-06-06 11:37:40 -07:00
Awni Hannun
a5ac9244c4
fix linux linking error ( #2248 )
2025-06-06 10:41:51 -07:00
Awni Hannun
c763fe1be0
default strict mode for module update and update_modules ( #2239 )
2025-06-05 15:27:02 -07:00
Cheng
52dc8c8cd5
Add profiler annotations in common primitives for CUDA backend ( #2244 )
2025-06-04 19:55:12 -07:00
Angelos Katharopoulos
aede70e81d
Perf regression fix ( #2243 )
2025-06-03 17:55:12 -07:00
Cheng
85a8beb5e4
Avoid atomic updates across CPU/GPU in CUDA event ( #2231 )
2025-06-03 16:49:06 -07:00
Cheng
0bb89e9e5f
Share more common code in Compiled ( #2240 )
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* Share more common code in Compiled
* Remove build_lib_name
2025-06-03 16:48:50 -07:00
Cheng
5685ceb3c7
Avoid invoking allocator::malloc when creating CUDA event ( #2232 )
2025-06-03 16:48:40 -07:00
Suryash Malviya
0408ba0a76
Optimizing Complex Matrix Multiplication using Karatsuba’s Algorithm ( #2220 )
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* Implementing Complex Matmul using Karatsuba Algorithm
* Implemented Karatsuba's Algorithm for complex matmul and pre-commit them
* fix
---------
Co-authored-by: Awni Hannun <awni@apple.com>
2025-06-02 15:58:46 -07:00
Awni Hannun
cbad6c3093
version ( #2237 )
2025-06-02 15:58:33 -07:00
Cheng
1b021f6984
Fast primitives decide when to use the fallback ( #2216 )
2025-06-02 13:26:37 -07:00
Cheng
95b7551d65
Do not check event.is_signaled() in eval_impl ( #2230 )
2025-06-02 13:23:34 -07:00
Cheng
db5a7c6192
Add memory cache to CUDA backend ( #2221 )
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* Move BufferCache out of allocator
* Add memory cache to cuda backend allocator
* Simplify BufferCache assuming buf can not be null
2025-05-30 12:12:54 -07:00
Awni Hannun
6ef2f67e7f
5bit quants ( #2226 )
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* 5bit quants
* 5bit quants
2025-05-30 12:12:10 -07:00
Cheng
f76ee1ffd2
Move some dims utils to common ( #2223 )
2025-05-29 06:48:30 -07:00
Cheng
54a71f270a
Remove unused defines ( #2217 )
2025-05-23 06:14:58 -07:00
Awni Hannun
55b4062dd8
copyright in docs ( #2214 )
2025-05-21 17:13:04 -07:00
Cheng
79071bfba4
Fix out-of-bounds default value in logsumexp/softmax ( #2213 )
2025-05-21 07:25:16 -07:00
Cheng
7774b87cbd
Remove redundant simd_sum in logsumexp ( #2210 )
2025-05-21 07:25:03 -07:00
