Commit Graph

3934 Commits

Author SHA1 Message Date
Johannes Gäßler 625c8d863e ggml-backend: fix async set/get fallback sync (llama/19179) 2026-02-08 09:29:10 +02:00
Christian Kastner 0e219ebf89 docs : Minor cleanups (llama/19252)
* Update old URLs to github.com/ggml-org/

* Bump copyrights
2026-02-08 09:29:10 +02:00
Nikhil Jain a0256b8159 Remove pipeline cache mutexes (llama/19195)
* Remove mutex for pipeline caches, since they are now per-thread.

* Add comment

* Run clang-format

* Cleanup

* Run CI again

* Run CI once more

* Run clang-format
2026-02-08 09:29:10 +02:00
Max Krasnyansky aca5953d8d Bump cmake max version (needed for Windows on Snapdragon builds) (llama/19188)
* Bump max cmake version (needed for Windows on Snapdragon builds)

* cmake: move max version setting into ggml/CMakeLists
2026-02-08 09:29:10 +02:00
nullname 9b927dd849 ggml-hexagon: flash-attention and reduce-sum optimizations (llama/19141)
* wip

* ggml-hexagon: add vectorized dot product function for FP32 and FP16 accumulation

* ggml-hexagon: optimize dot product functions for FP16 and FP32 with new vectorized implementations

* wip

* ggml-hexagon: optimize hvx_vec_dump_f32_n and hvx_vec_reduce_sum_qf32x2 functions for improved performance

* ggml-hexagon: refactor dot product functions to use a common loading function for improved readability

* optimize vector dot product functions to use unified reduction for improved performance

* wip

* ggml-hexagon: add vectorized dot product function for FP32 and FP16 accumulation

* ggml-hexagon: optimize dot product functions for FP16 and FP32 with new vectorized implementations

* wip

* ggml-hexagon: optimize hvx_vec_dump_f32_n and hvx_vec_reduce_sum_qf32x2 functions for improved performance

* ggml-hexagon: refactor dot product functions to use a common loading function for improved readability

* optimize vector dot product functions to use unified reduction for improved performance

* hexagon: optimize reduce-sum for v75+

* hexagon: always keep row_sums in sf/fp32

* ggml-hexagon: enhance directory checks for HEXAGON_SDK_ROOT and HEXAGON_TOOLS_ROOT

* fix compiling error after rebase

---------

Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
2026-02-08 09:29:10 +02:00
shaofeiqi db9c88744d opencl: add optimized q8_0 mm kernel for adreno (llama/18871)
* Add Q8_0 OpenCL kernel

Co-authored-by: yunjie <yunjie@qti.qualcomm.com>

* opencl: fix build for non-adreno

* opencl: refactor q8_0

* opencl: enforce subgroup size of 64 for adreno for q8_0

* For A750 and older generations, subgroup size can be 64 or 128.
  This kernel assumes subgroup size 64.

* opencl: suppress warning when adreno kernels are disabled

---------

Co-authored-by: yunjie <yunjie@qti.qualcomm.com>
Co-authored-by: Li He <lih@qti.qualcomm.com>
2026-02-08 09:29:10 +02:00
Simon Redman efd6344939 Correctly fetch q8_1 quantize pipeline in test as needed by 8a3519b (llama/19194) 2026-02-08 09:29:10 +02:00
Georgi Gerganov 06e3750407 ggml : bump version to 0.9.6 (ggml/1423) 2026-02-08 09:29:10 +02:00
Georgi Gerganov fc1a3e579e cmake : remove unused file (ggml/1419) 2026-02-08 09:29:10 +02:00
KITAITI Makoto 941bdabbe4
ruby : add `Whisper::Context::Params`, fix token memory management (#3647)
* Don't convert to temporary VALUE

* Define Whisper::Context::Params

* Add test for Whisper::Context::Params

* Implement Whisper::Context::Params

* Add tests for Context::Params

* Fix Whisper::Token memory management

* Add test for token_timestamps

* Make Context accept Context::Params

* Make Context::Params.new accept keyword args

* Add test for Context::Params.new with keyword args

* Add signature of Context::Params

* Add example for Whisper::Token

* Fix typos

* Revert "Don't convert to temporary VALUE"

This reverts commit dee66e7384.

* Hold Token#text as Ruby objectd

* Don't use pointer for ruby_whisper_context_params.params

* Use RUBY_DEFAULT_FREE instead of custom function

* Update bindings/ruby/README.md

Co-authored-by: Daniel Bevenius <daniel.bevenius@gmail.com>

* Add document for Whisper::Context::Params

---------

Co-authored-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2026-02-04 20:33:09 +09:00
KITAITI Makoto aa1bc0d1a6
ruby : add `VAD::Context#segments_from_samples`, allow Pathname, etc. (#3633)
* ruby : Bump version to 1.3.6

* Fix code in example

* Add sample code to transcribe from MemoryView

* Define GetVADContext macro

* Use GetVADContext

* Extract parse_full_args function

* Use parse_full_args in ruby_whisper_full_parallel

* Free samples after use

* Check return value of parse_full_args()

* Define GetVADParams macro

* Add VAD::Context#segments_from_samples

* Add tests for VAD::Context#segments_from_samples

* Add signature for VAD::Context#segments_from_samples

* Add sample code for VAD::Context#segments_from_samples

* Add test for Whisper::Context#transcribe with Pathname

* Make Whisper::Context#transcribe and Whisper::VAD::Context#detect accept Pathname

* Update signature of Whisper::Context#transcribe

* Fix variable name

* Don't free memory view

* Make parse_full_args return struct

* Fallback when failed to get MemoryView

* Add num of samples when too long

* Check members of MemoryView

* Fix a typo

* Remove unnecessary include

* Fix a typo

* Fix a typo

* Care the case of MemoryView doesn't fit spec

* Add TODO comment

* Add optimazation option to compiler flags

* Use ALLOC_N instead of malloc

* Add description to sample code

* Rename and change args: parse_full_args -> parse_samples

* Free samples when exception raised

* Assign type check result to a variable

* Define wrapper function of whisper_full

* Change signature of parse_samples for rb_ensure

* Ensure release MemoryView

* Extract fill_samples function

* Free samples memory when filling it failed

* Free samples memory when transcription failed

* Prepare transcription in wrapper funciton

* Change function name

* Simplify function boundary
2026-01-30 22:59:36 +09:00
Frieder Bluemle bf422cb704
scripts : Fix dSYMs path case for macOS xcframework build (#3630)
The script creates dSYMs/ but references dSYMS/ for macOS, causing
build failures on case-sensitive filesystems.
2026-01-30 15:57:26 +02:00
Georgi Gerganov acbace0571 cuda : fix compile warnings (#0) 2026-01-30 15:56:40 +02:00
Georgi Gerganov 953e503fd9 talk-llama : sync llama.cpp 2026-01-30 15:56:40 +02:00
Georgi Gerganov b529c0610f sync : ggml 2026-01-30 15:56:40 +02:00
bssrdf 5dca0db99c add tensor type checking as part of cuda graph properties (llama/19186) 2026-01-30 15:56:40 +02:00
s8322 2a16e7a67f sycl: implement GGML_UNARY_OP_SOFTPLUS (llama/19114)
* sycl: add softplus unary op implementation

* sycl: add softplus unary op implementation

* docs(ops): mark SYCL SOFTPLUS as supported

* docs: update SYCL status for SOFTPLUS
2026-01-30 15:56:40 +02:00
RachelMantel 1b3c27efae sycl: implement GGML_OP_TRI (llama/19089)
* sycl: implement GGML_OP_TRI

* docs: update ops.md for SYCL TRI

* docs: regenerate ops.md

* docs: update SYCL support for GGML_OP_TRI
2026-01-30 15:56:40 +02:00
Zheyuan Chen 829e70044b ggml-webgpu: improve flastAttention performance by software pipelining (llama/19151)
* webgpu : pipeline flash_attn Q/K loads in WGSL

* ggml-webgpu: unroll Q*K accumlation inner loop

* ggml-webgpu: vectorization

* ggml-webgpu: unrolling

* ggml-webgpu: remove redundant unrolling

* ggml-webgpu: restore the config

* ggml-webgpu: remove redundant comments

* ggml-webgpu: formatting

* ggml-webgpu: formatting and remove vectorization

* ggml-webgpu: remove unnecessary constants

* ggml-webgpu: change QKV buffer to read_write to pass validation

* ggml-webgpu: add explanation for the additional bracket around Q K accumulate

* Indentation and for -> if for tail

* Kick off CI on wgsl only commits

---------

Co-authored-by: Reese Levine <reeselevine1@gmail.com>
2026-01-30 15:56:40 +02:00
Todor Boinovski 2a89a3f35c hexagon: enable offloading to Hexagon on Windows on Snapdragon (llama/19150)
* hexagon: updates to enable offloading to HTP on WoS

* Update windows.md

* Update windows.md

* hexagon: enable -O3 optimizations

* hexagon: move all _WINDOWS conditional compilation to _WIN32

* hexagon: updates to enable offloading to HTP on WoS

* hexagon: use run-time vs load-time dynamic linking for cdsp driver interface

* refactor htp-drv

* hexagon: add run-bench.ps1 script

* hexagon: htdrv refactor

* hexagon: unify Android and Windows build readmes

* hexagon: update README.md

* hexagon: refactor htpdrv

* hexagon: drv refactor

* hexagon: more drv refactor

* hexagon: fixes for android builds

* hexagon: factor out dl into ggml-backend-dl

* hexagon: add run-tool.ps1 script

* hexagon: merge htp-utils in htp-drv and remove unused code

* wos: no need for getopt_custom.h

* wos: add missing CR in htpdrv

* hexagon: ndev enforecement applies only to the Android devices

* hexagon: add support for generating and signing .cat file

* hexagon: add .inf file

* hexagon: working auto-signing and improved windows builds

* hexagon: futher improve skel build

* hexagon: add rough WoS guide

* hexagon: updated windows guide

* hexagon: improve cmake handling of certs and logging

* hexagon: improve windows setup/build doc

* hexagon: more windows readme updates

* hexagon: windows readme updates

* hexagon: windows readme updates

* hexagon: windows readme updates

* hexagon: windows readme updates

* Update windows.md

* Update windows.md

* snapdragon: rename docs/backend/hexagon to docs/backends/snapdragon

Also added a power shell script to simplify build env setup.

* hexagon: remove trailing whitespace and move cmake requirement to user-presets

* hexagon: fix CMakeUserPresets path in workflow yaml

* hexagon: introduce local version of libdl.h

* hexagon: fix src1 reuse logic

gpt-oss needs a bigger lookahead window.
The check for src[1] itself being quantized was wrong.

---------

Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
2026-01-30 15:56:40 +02:00
Georgi Gerganov b997e690ef cuda : fix nkvo, offload and cuda graph node properties matching (llama/19165)
* cuda : fix nkvo

* cont : more robust cuda graph node property matching

* cont : restore pre-leafs implementation

* cont : comments + static_assert
2026-01-30 15:56:40 +02:00
yulo 34a3e28a08 HIP: add mmf for CDNA (llama/18896)
* refactor mmf rows_per_block

* speed up compile

* pass cdna compile

* fix cuda error

* clean up mmf

* f32 mmf

* clean float mma

* fix mmf error

* faster mmf

* extend tile k

* fix compile error

* Revert "extend tile k"

This reverts commit 4d2ef3d483932659801a59a5af0b6b48f6ffd5c7.

* fix smem overflow

* speed up compiling mmf

* speed up compile for hip

* 512 block for cdna

* config pad size

* fix as comment

* update select logic

* move some code to cuh

* fix as comment

* correct cdna3 config

---------

Co-authored-by: zhang hui <you@example.com>
2026-01-30 15:56:40 +02:00
Vishal Singh e0a2182970 ggml-zendnn : resolve ZenDNN backend cross-module symbol dependency (llama/19159) 2026-01-30 15:56:40 +02:00
Aman Gupta 62ba8b537f CUDA: refactor topk-moe to enable more models (GLM 4.7, Nemotron etc.) (llama/19126) 2026-01-30 15:56:40 +02:00
Neo Zhang f0e85bb142 sycl: fix norm kernels: l2_norm, group_norm, rms_norm by remove assert to support more cases (llama/19154)
Co-authored-by: Neo Zhang Jianyu <jianyu.zhang@intel.com>
2026-01-30 15:56:40 +02:00
Ruben Ortlam 33148bb523 Vulkan Flash Attention Coopmat1 Refactor (llama/19075)
* vulkan: use coopmat for flash attention p*v matrix multiplication

* fix P loading issue

* fix barrier position

* remove reduction that is no longer needed

* move max thread reduction into loop

* remove osh padding

* add bounds checks and padding

* remove unused code

* fix shmem sizes, loop duration and accesses

* don't overwrite Qf, add new shared psh buffer instead

* add missing bounds checks

* use subgroup reductions

* optimize

* move bounds check, reduce barriers

* support other Bc values and other subgroup sizes

* remove D_split

* replace Of register array with shared memory Ofsh array

* parallelize HSV across the rowgroups

* go back to Of in registers, not shmem

* vectorize sfsh

* don't store entire K tile in shmem

* fixes

* load large k tiles to shmem on Nvidia

* adapt shared memory host check function to shader changes

* remove Bc 32 case

* remove unused variable

* fix missing mask reduction tmspsh barrier

* fix mask bounds check

* fix rowmax f16 under/overflow to inf

* fix flash_attn_cm2 BLOCK_SIZE preprocessor directives
2026-01-30 15:56:40 +02:00
Patryk Kaminski cc0c103b5d ggml-sycl: remove unused syclcompat header (llama/19140)
The syclcompat/math.hpp is not used anymore. The change that intrduced it was successfuly reverted (https://github.com/ggml-org/llama.cpp/pull/17826).
This include path will become obsolete and dropped in oneAPI 2026.0 effectively breaking ggml-sycl builds.
2026-01-30 15:56:40 +02:00
Oleksandr Kuvshynov dda7d9cd1c vulkan: handle device dedup on MacOS + Vega II Duo cards (llama/19058)
Deduplication here relied on the fact that vulkan would return unique
UUID for different physical GPUs. It is at the moment not always the case.
On Mac Pro 2019 running Mac OS, with 2 Vega II Duo cards (so, 4 GPU total),
MotlenVK would assign same UUID to pairs of GPUs, unless they
are connected with Infinity Fabric.

See more details here: KhronosGroup/MoltenVK#2683.

The right way is to fix that in MoltenVK, but until it is fixed,
llama.cpp would only recognize 2 of 4 GPUs in such configuration.

The deduplication logic here is changed to only filter GPUs if UUID is
same but driver is different.
2026-01-30 15:56:40 +02:00
Kevin Pouget 531d7b6781 ggml: new backend for Virglrenderer API Remoting acceleration (v2) (llama/18718) 2026-01-30 15:56:40 +02:00
Alberto Cabrera Pérez 3701413a71 ggml-cpu: arm64: Q4_K scale unroll and vectorization (llama/19108) 2026-01-30 15:56:40 +02:00
Georgi Gerganov 7fb0f823de cuda : fix "V is K view" check for non-unified KV cache (llama/19145) 2026-01-30 15:56:40 +02:00
Georgi Gerganov f28a733025 CUDA: tune GLM 4.7 Flash FA kernel selection logic (DGX Spark) (llama/19142) 2026-01-30 15:56:40 +02:00
Nikhil Jain dfdd2fee83 ggml webgpu: Split shared state (webgpu_context) into global state and per-thread state (llama/18976)
* Squashed commit of the following:

commit b3c6bf4b0450d8d452b934df27a0fb7cb53cd755
Author: Abhijit Ramesh <abhijitramesh2k@gmail.com>
Date:   Mon Dec 1 18:29:00 2025 -0800

    ggml webgpu: fix xielu parameter passing (llama/11)

    The XIELU operation was incorrectly using static_cast to convert
    float parameters to uint32_t, which converted numeric values instead
    of preserving IEEE 754 bit patterns. This caused incorrect values
    to be interpreted by the GPU shader.

    * Use reinterpret_cast to preserve float bit patterns when passing
      through uint32_t params buffer
    * Update WGSL shader parameter types from u32 to f32
    * Re-enable XIELU support (was disabled due to numerical issues)

    Fixes NMSE test failures for XIELU operation on WebGPU backend.

commit 5ca9b5e49ea7cddc9ab7c8b43a11a9c76a4dff4a
Author: neha-ha <137219201+neha-ha@users.noreply.github.com>
Date:   Tue Nov 18 12:17:00 2025 -0800

    Refactored pipelines and workgroup calculations (llama/10)

    * refactored pipelines

    * refactored workgroup calculation

    * removed commented out block of prior maps

    * Clean up ceiling division pattern

    ---------

    Co-authored-by: Neha Abbas <nehaabbas@eduroam-169-233-141-223.ucsc.edu>
    Co-authored-by: Reese Levine <reeselevine1@gmail.com>

Author: James Contini <jamescontini@gmail.com>
Date:   Wed Oct 29 23:13:06 2025 -0700

    formatted embed wgsl and ggml-webgpu.cpp

commit e1f6baea31645e5d96ad53664acae856f74b96f4
Author: James Contini <jamescontini@gmail.com>
Date:   Wed Oct 29 23:08:37 2025 -0700

    implemented REPL_Template support and removed bug in unary operators kernel

commit 8c70b8fece445cdc9a8c660dbddbf201e52da2bb
Author: James Contini <jamescontini@gmail.com>
Date:   Wed Oct 15 16:14:20 2025 -0700

    responded and dealt with PR comments

commit f9282c660c10dec4487d434549bdb707a9cd9f37
Author: James Contini <jamescontini@gmail.com>
Date:   Sun Oct 12 13:41:41 2025 -0700

    removed unnecesarry checking if node->src[1] exists for unary operators

commit 4cf28d7dec41c29186d66152735b244c5699f9dc
Author: James Contini <jamescontini@gmail.com>
Date:   Sun Oct 12 13:32:45 2025 -0700

    All operators (inlcluding xielu) working

commit 74c6add1761a59d2c2ff60b60e8ad3c8300f6d3e
Author: James Contini <jamescontini@gmail.com>
Date:   Fri Oct 10 13:16:48 2025 -0700

    fixed autoconfig

commit 362749910be4f0120c8ffb21ceddeb7d2c088e51
Author: James Contini <jamescontini@gmail.com>
Date:   Fri Oct 10 13:10:46 2025 -0700

    removed vestigial files

commit cb0858333785757804c5104e59c4981843207c16
Author: James Contini <jamescontini@gmail.com>
Date:   Fri Oct 10 12:59:32 2025 -0700

    abides by editor-config

commit 5360e2852a4b51197d7d67d0a5d42e908b02d7ed
Author: James Contini <jamescontini@gmail.com>
Date:   Fri Oct 10 12:45:57 2025 -0700

    rms_norm double declaration bug atoned

commit 7b09baa4aa53711be5a126043670cc182c78bfcd
Merge: 8a6ec843 74b8fc17
Author: James Contini <jamescontini@gmail.com>
Date:   Fri Oct 10 11:50:03 2025 -0700

    resolving merge conflicts

commit 8a6ec843a50ab82f8cef59b4558eb63f318ba02d
Author: James Contini <jamescontini@gmail.com>
Date:   Wed Oct 8 18:06:47 2025 -0700

    unary operators pass ggml tests

commit c3ae38278a2db236adc5912c9140e4f0d63f2c19
Author: James Contini <jamescontini@gmail.com>
Date:   Wed Oct 1 16:22:40 2025 -0700

    neg passes backend test

commit aa1c9b2f8877a405470ca56709c42a1fd43713de
Author: James Contini <jamescontini@gmail.com>
Date:   Tue Sep 30 23:55:27 2025 -0700

    neg f16xf32xip builds and runs, havent actually ran a model that uses neg kernel yet though

Co-authored-by: James Contini <jamescontini@gmail.com>
Co-authored-by: Neha Abbas <neabbas@ucsc.edu>
Co-authored-by: Abhijit Ramesh <abhijitramesh2k@gmail.com>

* Remove extra code and format

* Add ops documentation (finally)

* ggml webgpu: add SOFTPLUS unary operator

Implements SOFTPLUS (log(1 + exp(x))) with f16/f32 support. Uses f32
precision for intermediate calculations to prevent f16 overflow.

* Add shader implementation and 4 variants (f32/f16, inplace/non-inplace)
* Register pipelines and device support
* Follow Vulkan backend numerical stability pattern

* ggml webgpu: add EXPM1 unary operator

Implements EXPM1 (exp(x) - 1) with f16/f32 support.

* Add shader implementation and 4 variants (f32/f16, inplace/non-inplace)
* Register pipelines and device support

* ggml webgpu: add FLOOR unary operator

Implements FLOOR (rounds down to nearest integer) with f16/f32 support.

* Add shader implementation and 4 variants (f32/f16, inplace/non-inplace)
* Register pipelines and device support

* ggml webgpu: add CEIL unary operator

Implements CEIL (rounds up to nearest integer) with f16/f32 support.

* Add shader implementation and 4 variants (f32/f16, inplace/non-inplace)
* Register pipelines and device support

* ggml webgpu: add ROUND unary operator

Implements ROUND (rounds to nearest integer) with f16/f32 support.

* Add shader implementation and 4 variants (f32/f16, inplace/non-inplace)
* Register pipelines and device support

* ggml webgpu: add TRUNC unary operator

Implements TRUNC (truncates towards zero) with f16/f32 support.

* Add shader implementation and 4 variants (f32/f16, inplace/non-inplace)
* Register pipelines and device support

* docs : update WebGPU support for unary operators (FLOOR, CEIL, ROUND, TRUNC, EXPM1, SOFTPLUS)

* Updates to webgpu get_memory

* Move shared state (webgpu_context) and device creation out of registration context, device context, and buffer context, and move into backend context

* Small cleanup

* Move Instance, Device, Adapter, Device creation, and capabilities to global state while moving Queue, pipelines, and buffers to per-thread state.

* Cleanups

* More cleanup

* Move staging_buf mutex to global context

* Resolve merge

* Resolve merge

* Resolve merge

* Clean up merge errors, delete forward declaration, and run clang-format

* Rename device_init to backend_init

* Move webgpu_context to backend_context

* Move buffer context members into global context and refactor function calls

* Run clang-format

* Remove commends

* Move parameter buffers to per-thread, add single memset_tensor param buf

* Fix CI compilation issue

* Fix builds for emscripten not supporting subgroups

* cleanup

* cleanup

---------

Co-authored-by: Reese Levine <reeselevine1@gmail.com>
2026-01-30 15:56:40 +02:00
Vishal Singh 9c75c793a6 ggml-zendnn : update ZenDNN git tag to main branch (llama/19133) 2026-01-30 15:56:40 +02:00
Johannes Gäßler 9d94d0f782 CUDA: tune GLM 4.7 Flash FA kernel selection logic (llama/19097) 2026-01-30 15:56:40 +02:00
Alberto Cabrera Pérez 00885e08e2 ggml-cpu: aarm64: q6_K repack gemm and gemv (and generic) implementations (i8mm) #18860 (llama/18888)
* Boilerplate for q6_K repack

* q6_K repack to q6_Kx8 implementation

Signed-off-by: Alberto Cabrera <alberto.cabrera@liquid.ai>

* q6_K generic gemv and gemm

* wip, gemm_q6_K 8x8

* Still WIP: loading of q8s, q6h and q6l

* first working version of q6_K gemm

* Moved q6 loads outside of sb block, Unrolled inner loop

* Replaced modulo with mask

* First implementation of GEMV

* ggml_vdotq_s32 -> vdotq_s32

* Reduce width of accumulators in q6_K gemv

* Bsums instead of calc bias. Preload scales to use vget_lane. Unroll.

* Reuse scales in GEMM (same GEMV opt)

* Added todos for bsum and different qh repack

* Arch fallback

* VSLIQ for merging qh adn ql

* Removed TODO, already tested

* Apply suggestions

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

* Removed unused import

---------

Signed-off-by: Alberto Cabrera <alberto.cabrera@liquid.ai>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2026-01-30 15:56:40 +02:00
Gaurav Garg 5fcbbdc0dd Reduce CPU-side stalls due to the CUDA command buffer being full (llama/19042)
* [CUDA] Reduce CPU-side stalls due to the CUDA command buffer being full

With pipeline parallelism, during prompt processing, the CPU-side CUDA command buffer gets full, stalling the CPU. Due to this, enough work doesn't get submitted to the GPU, causing bubbles in the GPU timeline.
Fix this by setting the CUDA environment variable CUDA_SCALE_LAUNCH_QUEUES to 4x to increase the command buffer size.

* Set the env variable in the CUDA backend registry allocation

* Add link to PR in code comment

* Remove warning logs and update documentation
2026-01-30 15:56:40 +02:00
shalinib-ibm b2e2032856 ggml-cpu: Enable FP16 MMA kernels on PPC (llama/19060) 2026-01-30 15:56:40 +02:00
lhez 56f82a9f33 opencl: add flattened q6_K mv (llama/19054) 2026-01-30 15:56:40 +02:00
Johannes Gäßler 41d5d7bb0e CUDA: fix padding of GQA to power of 2 in FA (llama/19115) 2026-01-30 15:56:40 +02:00
Johannes Gäßler f63848eada CUDA: faster FA for GQA > 1 but not power of 2 (llama/19092) 2026-01-30 15:56:40 +02:00
ccbinn 4372b87b8e metal : fix recommendedMaxWorkingSetSize availability on legacy iOS/macOS (llama/19088)
Co-authored-by: chenbin11 <chenbin11@kuaishou.com>
2026-01-30 15:56:40 +02:00
Aman Gupta 1642a4fb60 ggml-cpu: Use tiled FA for prompt-processing (llama/19012)
* ggml-cpu: Use tiled FA for prompt-processing

the FA performance is gimped on CPU on long contexts because it essentially uses a vector kernel. This PR adds a tiled FA for PP. Perf tuning for tile sizes done on a AMD EPYC single-socket 64-c machine.

* fix out of bounds for mask

* skip rows where there are all masks

* skip tile if mask is inf

* store mask in worksize

* check inf tile earlier
2026-01-30 15:56:40 +02:00
Georgi Gerganov d2b51404e4 kv-cache : support V-less cache (llama/19067)
* kv-cache : support V-less cache

* cuda : better check for V_is_K_view

* cuda : improve V_is_K_view check

* graph : add comments

* hparams : refactor
2026-01-30 15:56:40 +02:00
Johannes Gäßler f53eafd745 CUDA: re-use MLA K data for V in MMA FA (llama/19057) 2026-01-30 15:56:40 +02:00
Aman Gupta 13577a6ce4 ggml-cuda: enable cuda-graphs for `n-cpu-moe` (llama/18934)
* ggml-cuda: add split-wise cuda graph

* add n-cpu-moe compare_llama_bench.py

* fix hip/musa builds
2026-01-30 15:56:40 +02:00
nullname 79f1bb3d35 ggml-hexagon: flash-attn opt (llama/19025)
* optimize flash attention kernel by improving score computation and online softmax update

* wip

* Refactor online softmax update in flash attention kernel for improved performance

* Optimize flash attention kernel by replacing float array with HVX_Vector for score computation

* wip
2026-01-30 15:56:40 +02:00
Neo Zhang 0d9dda5a99 use malloc to support both iGPU and dGPU in same time (llama/18992)
* use malloc to support both iGPU and dGPU in same time

* support windows

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Co-authored-by: Neo Zhang Jianyu <jianyu.zhang@intel.com>
2026-01-30 15:56:40 +02:00
Alberto Cabrera Pérez e090d91f5e ggml-cpu: aarm64: q5_K repack gemm and gemv (and generic) implementations (i8mm) (llama/18860)
* Boilerplate for q5_Kx8 REPACK on ARM and fallback

Signed-off-by: Alberto Cabrera <alberto.cabrera@liquid.ai>

* Implements make_block_q5_Kx8 by extending make_block_q4_Kx8

Signed-off-by: Alberto Cabrera <alberto.cabrera@liquid.ai>

* q5_K repack gemm and gemv generics

* Gemm and Gemv ARM implementations (i8mm)

* Improved qh manipulation looking at non-repack vec_dot implementation

* Full unroll

* Apply Q5_K Gemv vand and vshl optimizations to gemm. Improve comments.

Signed-off-by: Alberto Cabrera <alberto.cabrera@liquid.ai>

* Fix wrong fallback definitions of Q5_K

Signed-off-by: Alberto Cabrera <alberto.cabrera@liquid.ai>

* Fixed comments. Reverted unnecessary formatting

Signed-off-by: Alberto Cabrera <alberto.cabrera@liquid.ai>

* Fixed typo in generic definitions

* Switching AND + Shift with Shift Insert. Better op interleaving.

* Vectorize + unroll the block scales

* Apply gemm optimizations to gemv

* Improve bias calculation

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Signed-off-by: Alberto Cabrera <alberto.cabrera@liquid.ai>
2026-01-30 15:56:40 +02:00
Georgi Gerganov 3f96a1da0e mla : make the V tensor a view of K (llama/18986)
* mla : pass V as a view of K to the FA op

* cuda : adjust mla logic to new layout

* kv-cache : fix rope shift

* tests : remove comment

* cuda : fix reusable_cutoff

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2026-01-30 15:56:40 +02:00