Commit Graph
47 Commits
Author SHA1 Message Date
EveandGitHub 3e5036fbfb abort if we see a multi buffer (#25276) 2026-07-05 20:38:47 +02:00
EveandGitHub af6528e6df ci: remove redundant or duplicate jobs (#23927)
* remove redundant apple job

openvino gpu and cpu test can share the same build and machine

Update build-rpc.yml

Update build-openvino.yml

cpu any doesnt make sense as we have an arm job already, so do high perf on both x86 and arm

remove duplicate x86 vulkan

combine backend sampling

Update server.yml

run server on arm as windows is x86

* emdawn on one machine only

* fix openvino, remove cpu tag as we dont have many x64 machines with that tag
2026-06-01 06:32:17 +03:00
EveandGitHub 2dd84169d1 ggml-cpu: optimize avx2 q6_k (#22345) 2026-04-26 09:27:50 +03:00
EveandGitHub 07feeaa92e vulkan: dequantize iq4_xs 4 at a time (#20657) 2026-03-19 11:32:04 +01:00
EveandGitHub 3a6f059909 ci : try to optimize some jobs (#20521)
* force arm version to test

* run on either x86 or arm if we can help it, this only works for runs without ccache

* readd other jobs

* remove ccache
2026-03-14 20:27:52 +01:00
EveandGitHub 8c77a04cc7 vulkan: more mul mat optimizations (#18533)
* q4_k

* q5_k

* q2_k

* q4_1

* q5_1

* better buf index
2026-01-07 11:13:17 +01:00
EveandGitHub cb999704fb vulkan: small dequantization improvements (#18380)
* iq4_xs

* quants
2025-12-26 18:12:11 +01:00
EveandGitHub d15d177f43 vulkan: faster q6_k matmul (#17813)
* q6_k faster mul mat

* 8 values

* fix comment

* switch to two at a time

* start ci for .glsl files
2025-12-14 08:29:37 +01:00
EveandGitHub 8b1c339bd2 ci : revert #16249 (#17303)
* Delete .github/workflows/build-amd.yml

* Update build.yml
2025-11-16 19:09:17 +01:00
EveandGitHub 7d019cff74 disable rms norm mul rope for chips with no fp16 rte (#17134) 2025-11-11 12:53:30 -06:00
EveandGitHub 86df2c9ae4 vulkan: use a more appropriate amount of threads when generating shaders (#16418)
* use a more flexible amount of threads

* fix windows compile and 0 thread case

* nominmax
2025-10-04 22:04:27 +02:00
EveandGitHub f09aefaa84 ci: update vulkan ci (#16294) 2025-10-02 10:10:07 +02:00
EveandGitHub 132d673554 vulkan: make ggml_vk_default_dispatcher support older vulkan headers (#16345)
* make ggml_vk_default_dispatcher support older vulkan headers

* simpilfy with using
2025-10-01 09:56:36 +02:00
EveandGitHub bee378e098 ci: run the x64 and arm ci on the github machines instead (#16183)
* run the x64 ci on regular machines

* set up the same thing for arm

fix test-quantize-perf just like #12306

* try to disable sve

* add another sve run
2025-09-25 08:06:06 +03:00
EveandGitHub cb5bb6cc05 vulkan: automatically remove unsupported devices (#15976)
* remove unsupported vulkan devices

* make this happen during selection instead

* pass by reference
2025-09-17 09:35:37 +02:00
EveandGitHub 44b1efa41a tests: add performance test for mul mat id (#15543) 2025-08-26 15:42:49 +00:00
6491d6e4f1 vulkan: increase LOAD_VEC_A to 8 (IQ1/IQ2) or 4 (IQ3) (#14485)
Commit taken from remyoudompheng's PR https://github.com/ggml-org/llama.cpp/pull/12260

Co-authored-by: Rémy Oudompheng <remyoudompheng@gmail.com>
2025-07-06 12:29:36 +02:00
EveandGitHub fb1cab201c vulkan: fix warnings (#13626)
* small fixes

* remove ifdef
2025-05-20 21:35:16 +00:00
b3b6d862cf vulkan: matmul gcn tuning (#13016)
* tune matmul for gcn

* this one is more power efficient

* Update ggml/src/ggml-vulkan/ggml-vulkan.cpp

Co-authored-by: 0cc4m <picard12@live.de>

* disable this tune for the proprietary driver

---------

Co-authored-by: 0cc4m <picard12@live.de>
2025-04-24 09:18:33 +02:00
EveandGitHub 30c42ef5cb vulkan: workaround for AMD Windows driver 16 bit unpack8 bug (#12472) 2025-03-21 20:27:47 +01:00
EveandGitHub 2c9f833d17 mat vec double buffer (#12188) 2025-03-10 19:28:11 +00:00
EveandGitHub fbeda9002d vulkan: matmul dequantization improvements (#12015)
* faster dequant for old quants

* dont use unpack for iq4_nl

* vec2 unpack for q8
2025-02-28 08:20:08 +01:00
EveandGitHub f7b1116af1 update release requirements (#11897) 2025-02-17 12:20:23 +01:00
EveandGitHub a4f011e8d0 vulkan: linux builds + small subgroup size fixes (#11767)
* mm subgroup size

* upload vulkan x86 builds
2025-02-14 02:59:40 +00:00
EveandGitHub adc5dd92e8 vulkan: scale caching for k quants + misc fixes (#11081)
* q6_k scale caching

* 16 bit unpack

* q4_k test (slow)

* revert it

* q3_k

* q2_k

* little stuff

* try precalculating products of a and q2_k scales

* Revert "try precalculating products of a and q2_k scales"

This reverts commit 65110b81f23f66331a50c6e889a7c1ab9470a86b.

* unpack should be u16, add vim swap to gitignore (about time)

* better q4_k scales

* q5_k

* better q6_k with separate paths for all threads and partial threads in use, plus some more optimizations

* q2_k better dequant

* q3_k optimizations

* q3_k use hmask simd from cpu avx version

* make the caches happy

* q3_k separate out calculation

* q2_k separate out

* little stuff

* use calc_superblock everywhere

* q2_k optimize scale calculation

* more barriers
2025-01-15 19:50:13 +00:00
EveandGitHub d79d8f39b4 vulkan: multi-row k quants (#10846)
* multi row k quant shaders!

* better row selection

* more row choices

* readjust row selection

* rm_kq=2 by default
2024-12-26 16:54:44 +01:00
EveandGitHub 7b1ec53f56 vulkan: bugfixes for small subgroup size systems + llvmpipe test (#10809)
* ensure mul mat shaders work on systems with subgroup size less than 32

more fixes

add test

* only s_warptile_mmq needs to be run with 32 threads or more
2024-12-17 06:52:55 +01:00
EveandGitHub 64ae065511 vulkan: small mul_mat_vec optimizations (#10665)
* double the number of rows per workgroup

* Update ggml-vulkan.cpp

* Vulkan: Add VK_EXT_subgroup_size_control support to ensure full subgroups for coopmats

* only increase the number of rows for amd and subgroup size 64

* fix missing NUM_ROWS for mul_mat_vec_iq4_nl_f16_f32, untested

* use subgroup min and max to check for gcn (requires https://github.com/ggerganov/llama.cpp/pull/10721)

* manual merge ggml-vulkan.cpp

* set min and max subgroup size in any case

* Also double the number of rows for Intel GPUs
2024-12-13 09:42:04 +01:00
EveandGitHub dafae66cc2 vulkan: dynamic subgroup size for the remaining k quants (#10745)
* q5_k

q4_k

q3_k

q2_k

q6_k multi row example

* revert as multi row isnt faster for k quants
2024-12-10 20:33:23 +01:00
EveandGitHub 0533e7fb38 vulkan: Dynamic subgroup size support for Q6_K mat_vec (#10536)
* subgroup 64 version with subgroup add. 15% faster

scalable version

tested for subgroup sizes 16-128

* check for subgroup multiple of 16 and greater than 16

* subgroup sizes are always a power of 2 (https://github.com/KhronosGroup/GLSL/issues/45)

* force 16 sequential threads per block

* make 16 subgroup size a constant
2024-11-30 08:00:02 +01:00
EveandGitHub 18429220bd AVX BF16 and single scale quant optimizations (#10212)
* use 128 bit loads (i've tried 256->128 to death and its slower)

* double accumulator

* avx bf16 vec dot

* +3% q4_0 inference

* +7% tg +5% pp compared to master

* slower f16c version, kep for reference

* 256b version, also slow. i tried :)

* revert f16

* faster with madd

* split to functions

* Q8_0 and IQ4_NL, 5-7% faster

* fix potential overflow (performance reduced)

* 16 bit add for q4_0 only

* merge
2024-11-15 12:47:58 +01:00
EveandGitHub 3407364776 Q6_K AVX improvements (#10118)
* q6_k instruction reordering attempt

* better subtract method

* should be theoretically faster

small improvement with shuffle lut, likely because all loads are already done at that stage

* optimize bit fiddling

* handle -32 offset separately. bsums exists for a reason!

* use shift

* Update ggml-quants.c

* have to update ci macos version to 13 as 12 doesnt work now. 13 is still x86
2024-11-04 23:06:31 +01:00
EveandGitHub 5c3d0f1824 ggml : IQ4_NL sgemm + Q4_0 AVX optimization (#9422)
* squashed

readd my iq4_nl sgemm PR https://github.com/ggerganov/llama.cpp/pull/8049

have ggml_vec_dot_q4_0 do two blocks per loop for avx

try out f16c ggml_vec_dot_iq4_nl, but it's not really faster. as per https://github.com/ggerganov/llama.cpp/pull/8549 we can calculate several blocks at a time with no issue

* shuffle

* remove f16c iq4_nl as i cant make it faster than before
2024-09-16 09:48:24 +03:00
EveandGitHub e536426ded llamafile : disable sgemm for batch-size 1 (#9330) 2024-09-07 22:02:26 +03:00
EveandGitHub 7d5e8777ae ggml : AVX IQ quants (#7845)
* initial iq4_xs

* fix ci

* iq4_nl

* iq1_m

* iq1_s

* iq2_xxs

* iq3_xxs

* iq2_s

* iq2_xs

* iq3_s before sllv

* iq3_s

* iq3_s small fix

* iq3_s sllv can be safely replaced with sse multiply
2024-06-21 08:57:36 +03:00
EveandGitHub 465263d0cf sgemm : AVX Q4_0 and Q8_0 (#6891)
* basic avx implementation

* style

* combine denibble with load

* reduce 256 to 128 (and back!) conversions

* sse load

* Update sgemm.cpp

* oops

oops
2024-05-08 17:29:23 +03:00
EveandGitHub 6ea0f010ff ci : add Ubuntu 22 Vulkan CI run (#5789) 2024-03-01 10:54:53 +02:00
EveandGitHub 317709b2a8 make portability_enumeration_ext apple only (#5757) 2024-02-28 20:33:37 +01:00
EveandGitHub ed0bf32290 readme : modernize (#5379)
* first cleanup, update everything to Llama 2 and remove outdated content

* Delete SHA256SUMS

* make build instructions generic

* recommend Q4_K_M quantization method

* Update README.md
2024-02-07 08:21:30 +02:00
EveandGitHub 1cfb5372cf Fix broken Vulkan Cmake (properly) (#5230)
* build vulkan as object

* vulkan ci
2024-01-31 20:21:55 +01:00
EveandGitHub 172ac82629 cmake : fix Vulkan build (#5182) 2024-01-29 10:04:47 +02:00
c41ea36eaa cmake : MSVC instruction detection (fixed up #809) (#3923)
* Add detection code for avx

* Only check hardware when option is ON

* Modify per code review sugguestions

* Build locally will detect CPU

* Fixes CMake style to use lowercase like everywhere else

* cleanup

* fix merge

* linux/gcc version for testing

* msvc combines avx2 and fma into /arch:AVX2 so check for both

* cleanup

* msvc only version

* style

* Update FindSIMD.cmake

---------

Co-authored-by: Howard Su <howard0su@gmail.com>
Co-authored-by: Jeremy Dunn <jeremydunn123@gmail.com>
2023-11-05 10:03:09 +02:00
EveandGitHub a7fac013cf ci : use intel sde when ci cpu doesn't support avx512 (#3949) 2023-11-05 09:46:44 +02:00
017efe899d cmake : make LLAMA_NATIVE flag actually use the instructions supported by the processor (#3273)
* fix LLAMA_NATIVE

* syntax

* alternate implementation

* my eyes must be getting bad...

* set cmake LLAMA_NATIVE=ON by default

* march=native doesn't work for ios/tvos, so disable for those targets. also see what happens if we use it on msvc

* revert 8283237 and only allow LLAMA_NATIVE on x86 like the Makefile

* remove -DLLAMA_MPI=ON

---------

Co-authored-by: netrunnereve <netrunnereve@users.noreply.github.com>
2023-10-03 19:53:15 +03:00
EveandGitHub 0512d66670 ci : multithreaded builds (#3311)
* mac and linux threads

* windows

* Update build.yml

* Update build.yml

* Update build.yml

* automatically get thread count

* windows syntax

* try to fix freebsd

* Update build.yml

* Update build.yml

* Update build.yml
2023-09-28 22:31:04 +03:00
EveandGitHub 81844fbcfd tests : Fix compilation warnings (Linux/GCC) (#2451)
* fix hellaswag print format, cast away warning in test-double-float

* c++11 cannot use designated initializers

* add static to test-grad0.c internal functions

* use memcpy in test-double-float.c

* port c tests to c++

* use initializer list for ggml_init_params
2023-08-02 11:06:19 +03:00
EveandGitHub 1fed755b1f ci : add non-AVX scalar build/test (#2356)
* noavx build and test

* we don't need to remove f16c in windows
2023-07-25 15:16:13 +03:00