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289 Commits
Author SHA1 Message Date
Georgi GerganovandGitHub d27b3ca175 ggml : fix repack work size for mul_mat_id (#14292) 
ggml-ci
 2025-06-20 11:19:15 +03:00
Charles XuandGitHub 9230dbe2c7 ggml: Update KleidiAI to v1.9.0 (#14277) 2025-06-20 10:51:01 +03:00
Diego DevesaandGitHub 8f71d0f3e8 ggml-cpu : remove unnecesary arm feature detection (#14281) 
Support for Arm runtime feature detection has now been added to GGML_CPU_ALL_VARIANTS. This removes the old and not very functional code.
 2025-06-19 21:24:14 +02:00
Aaron TeoandGitHub faed5a5f5d llamafile : support s390x SIMD instruction set (#14273) 2025-06-19 11:48:54 +02:00
Aaron TeoandGitHub 50d2227953 ggml-cpu: reduce asm calls for hsum (#14037) 
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
 2025-06-18 18:10:08 +01:00
Aaron TeoandGitHub 6231c5cd6d ggml-cpu: fix uncaught underscore terminators (#14023) 
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
 2025-06-18 18:06:49 +01:00
Charles XuandGitHub ef035803eb ggml: Add Apple support for GGML_CPU_ALL_VARIANTS (#14258) 2025-06-18 12:40:07 +01:00
xctanandGitHub 860a9e4eef ggml-cpu : remove the weak alias trick (#14221) 2025-06-17 12:58:32 +03:00
Diego DevesaGitHubGeorgi Gerganov
 		6adc3c3ebc llama : add thread safety test (#14035) 
* llama : add thread safety test

* llamafile : remove global state

* llama : better LLAMA_SPLIT_MODE_NONE logic

when main_gpu < 0 GPU devices are not used

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2025-06-16 08:11:43 -07:00
Charles XuandGitHub 3ba0d843c6 ggml: Add Android support for GGML_CPU_ALL_VARIANTS (#14206) 2025-06-16 11:47:57 +02:00
xctanandGitHub 3555b3004b ggml-cpu : rework weak alias on apple targets (#14146) 
* ggml-cpu : rework weak alias on apple targets

* fix powerpc detection

* fix ppc detection

* fix powerpc detection on darwin
 2025-06-16 13:54:15 +08:00
Christian KastnerandGitHub 532802f938 Implement GGML_CPU_ALL_VARIANTS for ARM (#14080) 
* ggml-cpu: Factor out feature detection build from x86

* ggml-cpu: Add ARM feature detection and scoring

This is analogous to cpu-feats-x86.cpp. However, to detect compile-time
activation of features, we rely on GGML_USE_<FEAT> which need to be set
in cmake, instead of GGML_<FEAT> that users would set for x86.

This is because on ARM, users specify features with GGML_CPU_ARM_ARCH,
rather than with individual flags.

* ggml-cpu: Implement GGML_CPU_ALL_VARIANTS for ARM

Like x86, however to pass around arch flags within cmake, we use
GGML_INTERNAL_<FEAT> as we don't have GGML_<FEAT>.

Some features are optional, so we may need to build multiple backends
per arch version (armv8.2_1, armv8.2_2, ...), and let the scoring
function sort out which one can be used.

* ggml-cpu: Limit ARM GGML_CPU_ALL_VARIANTS to Linux for now

The other platforms will need their own specific variants.

This also fixes the bug that the the variant-building branch was always
being executed as the else-branch of GGML_NATIVE=OFF. The branch is
moved to an elseif-branch which restores the previous behavior.
 2025-06-11 21:07:44 +02:00
Georgi Gerganov b7ce1ad1e3 ggml : fix weak alias win32 (whisper/0) 
ggml-ci
 2025-06-10 18:39:33 +03:00
xctanGitHubGeorgi Gerganov
 		f470bc36be ggml-cpu : split arch-specific implementations (#13892) 
* move ggml-cpu-aarch64 to repack

* split quantize_row_q8_0/1

* split helper functions

* split ggml_vec_dot_q4_0_q8_0

* split ggml_vec_dot_q4_1_q8_1

* split ggml_vec_dot_q5_0_q8_0

* split ggml_vec_dot_q5_1_q8_1

* split ggml_vec_dot_q8_0_q8_0

* split ggml_vec_dot_tq1_0_q8_K

* split ggml_vec_dot_tq2_0_q8_K

* split ggml_vec_dot_q2_K_q8_K

* split ggml_vec_dot_q3_K_q8_K

* split ggml_vec_dot_q4_K_q8_K

* split ggml_vec_dot_q5_K_q8_K

* split ggml_vec_dot_q6_K_q8_K

* split ggml_vec_dot_iq2_xxs_q8_K

* split ggml_vec_dot_iq2_xs_q8_K

* split ggml_vec_dot_iq2_s_q8_K

* split ggml_vec_dot_iq3_xxs_q8_K

* split ggml_vec_dot_iq3_s_q8_K

* split ggml_vec_dot_iq1_s_q8_K

* split ggml_vec_dot_iq1_m_q8_K

* split ggml_vec_dot_iq4_nl_q8_0

* split ggml_vec_dot_iq4_xs_q8_K

* fix typos

* fix missing prototypes

* rename ggml-cpu-quants.c

* rename ggml-cpu-traits

* rename arm folder

* move cpu-feats-x86.cpp

* rename ggml-cpu-hbm

* update arm detection macro in quants.c

* move iq quant tables

* split ggml_quantize_mat_q8_0/K

* split ggml_gemv_*

* split ggml_gemm_*

* rename namespace aarch64 to repack

* use weak aliases to replace test macros

* rename GGML_CPU_AARCH64 to GGML_CPU_REPACK

* rename more aarch64 to repack

* clean up rebase leftover

* fix compilation errors

* remove trailing spaces

* try to fix clang compilation errors

* try to fix clang compilation errors again

* try to fix clang compilation errors, 3rd attempt

* try to fix clang compilation errors, 4th attempt

* try to fix clang compilation errors, 5th attempt

* try to fix clang compilation errors, 6th attempt

* try to fix clang compilation errors, 7th attempt

* try to fix clang compilation errors, 8th attempt

* try to fix clang compilation errors, 9th attempt

* more cleanup

* fix compilation errors

* fix apple targets

* fix a typo in arm version of ggml_vec_dot_q4_K_q8_K

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2025-06-09 16:47:13 +02:00
Diego DevesaandGitHub 482548716f releases : use dl backend for linux release, remove arm64 linux release (#13996) 2025-06-04 13:15:54 +02:00
shalinib-ibmGitHubroot
 		093e3f1feb cmake : Handle mixed-case 'Power' strings in POWER CPU detection (#13966) 
Some systems report the CPU implementation as "Power11" instead of "POWER11".
The existing CMake logic uses a case-sensitive regular expression to extract
the CPU generation, which fails when the casing doesn't exactly match "POWER".

This patch provides a fix by first converting the string to uppercase before applying the regex.

Signed-off-by: root <root@rheldb2v.pperf.tadn.ibm.com>
Co-authored-by: root <root@rheldb2v.pperf.tadn.ibm.com>
 2025-06-02 15:18:36 +03:00
Max KrasnyanskyGitHubDiego Devesa
 		053b1539c0 threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling (#12995) 
* threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling

We talked about adding LOW priority for GGML threads in the original threadpool PR.
It might be useful for some cases to avoid contention.

Latest Windows ARM64 releases started parking (offlining) the CPU cores
more aggresively which results in suboptimal performance with n_threads > 4.
To deal with that we now disable Power Throttling for our threads for the NORMAL
and higher priorities.

Co-authored-by: Diego Devesa <slarengh@gmail.com>

* threading: disable SetThreadInfo() calls for older Windows versions

* Update tools/llama-bench/llama-bench.cpp

Co-authored-by: Diego Devesa <slarengh@gmail.com>

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
 2025-05-31 15:39:19 -07:00
Yibo CaiandGitHub 54a2c7a8cd arm64: optimize q4_k_q8_k kernel with i8mm (#13886) 
This PR improves q4_k_q8_k gemm kernel with arm64 i8mm instruction.

Tested on neoverse-n2 with llama3 8b q4_k_m quantization model.
- 34% ~ 50% S_PP uplift for all batch sizes
- 12% ~ 37% S_TG uplift for batch size 4 and above

Perplexity doesn't change with this PR.

```
// tested on neoverse-n2
$ llama-batched-bench \
      -m Meta-Llama-3-8B-Instruct-Q4_K_M.gguf \
      --no-mmap -fa \
      -c 8192 -b 4096 -ub 512 -npp 128 -ntg 128 \
      -npl 1,2,4,8,16,32 \
      -t 64

---------------------------------------------------------------------
|    PP |     TG |    B |       S_PP t/s      |       S_TG t/s      |
|       |        |      | original |  this pr | original |  this pr |
|-------|--------|------|----------|----------|----------|----------|
|   128 |    128 |    1 |   110.12 |   147.83 |    24.36 |    24.28 |
|   128 |    128 |    2 |   121.16 |   172.42 |    46.36 |    47.93 |
|   128 |    128 |    4 |   120.15 |   169.75 |    74.68 |    84.00 |
|   128 |    128 |    8 |   130.97 |   196.81 |    91.04 |   114.74 |
|   128 |    128 |   16 |   131.01 |   196.88 |   101.43 |   135.79 |
|   128 |    128 |   32 |   130.85 |   196.51 |   106.97 |   147.29 |
---------------------------------------------------------------------
```
 2025-05-29 14:39:20 +03:00
Christian KastnerandGitHub 21fcc21ad5 cmake: Factor out CPU architecture detection (#13883) 
* cmake: Define function for querying architecture

The tests and results match exactly those of ggml/src/CMakeLists.txt

* Switch arch detection over to new function
 2025-05-29 12:50:25 +02:00
Vineel AbhinavGitHubGeorgi Gerganov
 		dd8ba93416 ggml: aarch64: Implement SVE F32 kernels for Mamba Sequential Scan Algorithm (#13882) 
* F32-Mamba-Seq_Scan-SVE

* Fix formatting

* ggml : missing space

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2025-05-29 12:18:43 +03:00
Vineel AbhinavandGitHub 1b8fb8152d ggml: aarch64: Implement SVE F32 kernels for vector functions (#13843) 
* F32-Mamba-SVE

* F32-Mamba-SVE

* Resolve test errors-1

* Resolve test errors-2

* F32-vec-SVE

* F32-vec-SVE

* F32-vec-SVE
 2025-05-29 09:01:33 +03:00
xctanandGitHub 05f6ac6283 ggml : riscv: add xtheadvector support (#13720) 
* ggml : riscv: add xtheadvector support

* ggml : clean up some macro usage
 2025-05-27 16:21:36 +03:00
Christian KastnerandGitHub 7fe03e7446 ggml-cpu: x86 feature detection is specific to x86 (#13811) 2025-05-27 13:18:39 +02:00
Diego DevesaandGitHub 2bd1b30f69 ggml-cpu : set openmp wait time if not set (#13758) 2025-05-24 22:26:47 +02:00
Xuan-Son NguyenandGitHub cf4cb59e64 ggml : add ggml_gelu_erf() (#13667) 
* ggml : add ggml_gelu_na (not approximated)

* fix naming order

* rename na --> erf

* apply review suggesions

* revert naming order
 2025-05-21 16:26:33 +02:00
Yibo CaiandGitHub 5ab5d5fb25 arm64: optimize q6_k_q8_k kernel with i8mm (#13519) 
This PR improves q6_k_q8_k gemm kernel with arm64 i8mm instruction.

Tested on neoverse-n2 with llama3 8b q6_k quantization model.
- 40% ~ 54% S_PP uplift for all batch sizes
- 16% ~ 47% S_TG uplift for batch size 4 and above

Perplexity doesn't change with this PR.

```
// tested on neoverse-n2
$ llama-batched-bench \
      -m Meta-Llama-3-8B-Instruct-Q6_K.gguf \
      --no-mmap -fa \
      -c 8192 -b 4096 -ub 512 -npp 128 -ntg 128 \
      -npl 1,2,4,8,16,32 \
      -t 64

---------------------------------------------------------------------
|    PP |     TG |    B |       S_PP t/s      |       S_TG t/s      |
|       |        |      | original |  this pr | original |  this pr |
|-------|--------|------|----------|----------|----------|----------|
|   128 |    128 |    1 |    78.52 |   109.18 |    18.63 |    18.88 |
|   128 |    128 |    2 |    84.62 |   123.94 |    34.54 |    36.92 |
|   128 |    128 |    4 |    84.36 |   122.49 |    52.65 |    61.32 |
|   128 |    128 |    8 |    90.52 |   138.87 |    63.46 |    84.41 |
|   128 |    128 |   16 |    90.11 |   138.56 |    71.04 |   101.33 |
|   128 |    128 |   32 |    89.81 |   137.79 |    75.14 |   110.47 |
---------------------------------------------------------------------
```
 2025-05-14 21:53:52 +02:00
Dan JohanssonandGitHub 4f711afed5 ggml-cpu: Update KleidiAI to v1.6 and fix include directives (#13509) 
Signed-off-by: Dan Johansson <dan.johansson@arm.com>
 2025-05-13 18:02:28 +03:00
Dan JohanssonGitHubCharles Xu
 		a71a4075cd ggml-cpu: Integrate fp32=bf16xbf16 SME KleidiAI kernel (#13053) 
* ggml-cpu: Integrate fp32=bf16xbf16 SME KleidiAI kernel

Signed-off-by: Dan Johansson <dan.johansson@arm.com>

* * code review fixes

Signed-off-by: Dan Johansson <dan.johansson@arm.com>

* * adds a comment that clarifies barrier usage

Signed-off-by: Dan Johansson <dan.johansson@arm.com>

---------

Signed-off-by: Dan Johansson <dan.johansson@arm.com>
Co-authored-by: Charles Xu <charles.xu@arm.com>
 2025-05-12 13:06:19 +02:00
Daniel BeveniusandGeorgi Gerganov 13b0a04597 whisper: remove MSVC warnings pragmas (whisper/3090) 
* ggml : remove MSVC warnings pragmas

This commit removes the MSVC-specific pragmas as these are now handled
in ggml/CMakeLists.txt.

* whisper : remove MSVC warning pragmas

This commit removes the MSVC-specific pragmas. These are now handled in
the ggml/CMakeLists.txt file.
 2025-05-07 17:28:36 +03:00
Diego DevesaandGitHub 9fdfcdaedd rpc : use backend registry, support dl backends (#13304) 2025-05-04 21:25:43 +02:00
Aaron TeoandGitHub 6eb7d25c70 ggml : activate s390x simd for Q3_K (#13301) 
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
 2025-05-04 19:49:12 +02:00
shalinib-ibmandGitHub 3f3769ba76 ggml : Enable MMA for BF16 in llamafile_sgemm (#13148) 
This patch upstreams llamafile's cpu matrix multiplication kernels for ppc64le using MMA builtins for BF16 data type.

This change results in 9x - 40x gains
in total speed S t/s (ie all tokens/total time), across various batch sizes tested using llama-batched-bench benchmark.

The patch is tested with Meta-Lllama-3-8B,
and Mistral-7B models (BF16 models generated by using llama-quantize from corresponding FP32 models) on an IBM POWER10 machine.

Signed-off-by: Shalini Salomi Bodapati <Shalini.Salomi.Bodapati@ibm.com>
 2025-05-02 19:53:12 +03:00
shalinib-ibmandGitHub 416313773b ggml : fix ppc64le build (#13176) 
Build fails with compilation error on power pc.
This patch fixes the same.

Tested with unit tests run via
 --build <build_dir> && cd <build_dir> && make test

Signed-off-by: Shalini Salomi Bodapati <Shalini.Salomi.Bodapati@ibm.com>
 2025-04-30 13:17:08 +02:00
Aaron TeoandGitHub 44cd8d91ff feat(ggml-cpu): enable z17 compile (#13182) 
z17 compilation requires GCC 15.1.0 and onwards

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
 2025-04-30 10:47:35 +01:00
SXXandGitHub 77d5e9a76a ggml: move fp16/bf16 conversion optimizations to CPU backend + export conversion APIs (#13107) 
* ggml: dynamic x86_64 feature detection for FP32 <-> FP16/BF16 conversion

* move fp converter to ggml-cpu

* Switch ggml_compute_forward_get_rows_f16/bf16 to new ggml_cpu_fp16/bf16_to_fp32
 2025-04-26 16:05:31 +02:00
AclyandGeorgi Gerganov c6e8cc28c1 ggml : Depthwise 2D convolution (ggml/1152) 
* ggml-cpu : kernels for faster depthwise 2D convolution

* fix compile: remove static after moving to ops.cpp

* add dilation for depthwise_conv_2d

* review: rename to ggml_conv_2d_dw_direct, remove redundant struct keywords, pass by ref, whitespace

* review: rename depthwise_conv_2d -> conv_2d_dw everywhere
 2025-04-24 17:32:47 +03:00
Diego DevesaandGitHub 1d735c0b4f ggml : add SSE 4.2 and x64 base variant for CPUs without AVX (#12871) 
* ggml : add SSE 4.2 variant for CPUs without AVX

* ggml : add x64 base ABI variant
 2025-04-21 18:13:51 +02:00
Srihari-mcwandGitHub eccc7a1602 ggml : Add AVX512 implementation of GEMM - Q4_Kx8 (#12829) 
* Add AVX512 implementation of GEMM - q4kx8

* Update changes to remove unnecessary whitespaces
 2025-04-15 09:22:36 +03:00
cmdr2andGeorgi Gerganov a25355e264 cpu: fix cpu backend's supports-op for GET_ROWS_BACK. fixes a fatal when running test-backend-ops with only the CPU backend (ggml/1190) 2025-04-14 09:26:15 +03:00
SXXandGitHub e959d32b1c ggml: use _mm[512/256]_dpbusd[_avx]_epi32 to directly accumulate into the result register (#12773) 
* ggml: use _mm[512/256]_dpbusd[_avx]_epi32 to directly accumulate into the result register

* simplifies the codebase by removing redundant functions
 2025-04-14 08:47:55 +03:00
Aaron TeoGitHubAleksei Nikiforov
 		0fed24c347 ggml: fix compilation error s390x (#12848) 
* ggml: fixes #12846 compilation error

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>

* ggml: add documentation for code change

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>

* ggml: refactor to type-cast and update documentation

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>

* ggml: update documentation to provide full issue link

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>

---------

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>
 2025-04-11 08:20:07 +03:00
Diego DevesaandGeorgi Gerganov fe92821ea9 ggml : add bilinear upscale support (ggml/1185) 2025-04-11 00:17:47 +03:00
Diego DevesaandGeorgi Gerganov 459895c326 ggml : add more generic custom op, remove deprecated custom ops (ggml/1183) 
* ggml : add more generic ggml_custom op

* ggml : remove deprecated custom ops
 2025-04-11 00:17:47 +03:00
Prajwal B MehendarkarandGitHub 11d07e1e69 Fixes #12823 (#12830) 
* Including limits file on AIX

* Fixes #12823
 2025-04-10 01:18:01 +02:00
Piotr KubajandGitHub 31f7803bc4 ggml-cpu-impl.h: do not redefine bool on POWER9 (#12856) 
error: unknown type name '_Bool'
 2025-04-10 01:00:34 +02:00
Georgi GerganovandGitHub a19b5cef16 llama : fix FA when KV cache is not used (i.e. embeddings) (#12825) 
* ggml : FA supports F32 V

* graph : cast KV to F16 when the KV cache is not used

ggml-ci

* server : add test that exercises embeddings with FA enabled

ggml-ci
 2025-04-08 19:54:51 +03:00
Georgi Gerganov ff067dbcb9 ggml : simplify Arm fp16 CPU logic (ggml/1177) 
* ggml : simlpify Arm fp16 CPU logic

ggml-ci

* cont : bring back CUDA/MUSA checks

ggml-ci
 2025-04-07 18:44:17 +03:00
cmdr2Georgi GerganovDiego Devesa
 		995083e4ed cpu: move all the operators into a separate c++ file (except mul_mat) (ggml/1167) 
* cpu: refactor SIMD mappings and vectorized op functions into separate files

* Fix warning for ggml_float to float

* Fix warnings

* cpu: move all the operations (except mul_mat) to a separate c++ file

* fix whitespace

* Update ggml/src/ggml-cpu/vec.h

Co-authored-by: Diego Devesa <slarengh@gmail.com>

* Fix PR comments - use GGML_UNUSED, use cassert in ops.cpp

* Reverse the order of import for ops.h and vec.h, to match what was present in ggml-cpu.c previously

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
 2025-04-07 18:44:17 +03:00
Xuan-Son NguyenandGeorgi Gerganov 360dc22c00 cpu : rm unused variable (ggml/1166) 2025-03-30 08:33:31 +03:00
cmdr2andGeorgi Gerganov a62d7fa7a9 cpu: de-duplicate some of the operators and refactor (ggml/1144) 
* cpu: de-duplicate some of the operators and refactor

* Fix PR comments

* Fix PR comments
 2025-03-30 08:33:31 +03:00