Commit Graph
22 Commits
Author SHA1 Message Date
Pasha Khosravi 9b2a088819 CUDA: add Q2_0 support (#25707) 2026-07-30 12:33:25 +03:00
Johannes Gäßler e495d1e748 CUDA: fix Gemma E4B MTP FlashAttention (#25148)
* CUDA: fix Gemma E4B MTP FlashAttention

* remove unused template declaration
2026-06-30 14:06:54 +02:00
AesSedai 046e284437 Add flash attention MMA / Tiles to support MiMo-V2.5 (#22812)
* mimo-v2.5: add flash attention mma/tiles for for d_kq=192 d_v=128

* mimo-v2.5: follow (256, 256) fattn templates

* mimo-v2.5: cleanup comments

* mimo-v2.5: further comment cleanup

* mimo-v2.5: address PR feedback
fix GQA handling
check for other dangling 320/576 carveouts and mirror them for 192
Add to backend ops test so new paths are covered
2026-05-09 11:28:29 +08:00
lnigamandJohannes Gäßler 7b8443ac78 ggml-cuda: add flash-attn support for DKQ=320/DV=256 with ncols2=32 (… (#22286)
* ggml-cuda: add flash-attn support for DKQ=320/DV=256 with ncols2=32 (GQA=32)

Adds MMA-f16 and tile kernel configs, dispatch logic, template instances,
and tile .cu file for Mistral Small 4 (head sizes 320/256), restricting to
ncols2=32 to support GQA ratio 32 only.

* Adding check to return BEST_FATTN_KERNEL_NONE in case GQA!=32

* Apply suggestions from code review

Address review comments

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

* Address review comments and making kernel config default to DQK=512, DV=512 instead of DQK=256,DV=256

* Fixed bug with sinks=1, with ncols=32, there are two warp-groups created but sinks index is same(0,...,15) for both the groups hence with sinks=1, output is not matching with CPU output. Added sink_base which will be base index for each warp_group (threadIdx.y / np)

* Apply suggestions from code review

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

* Update ggml/src/ggml-cuda/template-instances/generate_cu_files.py

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

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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2026-04-28 21:37:35 +02:00
Pasha KhosraviandJohannes Gäßler 7e72b38bc1 cuda: Q1_0 initial backend (#21629)
* [cuda] initial Q1_0 backend

* remove unused code, fix AMD MMA guard

* attempt to support dp4a

* Apply suggestions from code review

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

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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2026-04-15 18:38:38 +02:00
Michael WandandJohannes Gäßler 84f82e846c ggml-cuda: Add generic NVFP4 MMQ kernel (#21074)
* Introduced NVFP4 generic MMQ kernel

* Added extra FP8 guard, hope to solve ci HIP failure

* Rename tiles and use HIP_FP8_AVAILABLE

* Removed remaning FP8 straggler and added const int

* Const

* Removed DECL_MMQ_CASE artifact

* Removed newline

* Removed space after else

* Changed HIP FP8 NVFP4 conversion gate

* Added new line to bottom of mmq.cu 270

* Removed extra spaces

* Removed single space in front of else on line 814

* Added NVFP4 to generate cu script so HIP can see it, further tightened logic

* Include generated mmq-instance-nvfp4.cu

* Added NVFP4 mmq to HIP Check ignore list

* Update ggml/src/ggml-cuda/mmq.cuh

Changed to Q3_K tile to read MMQ_MMA_TILE_X_K_NVFP4

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

* Update ggml/src/ggml-cuda/mmq.cuh

Changed to Q3_K tile to read MMQ_MMA_TILE_X_K_NVFP4 in tile assert

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

* Update ggml/src/ggml-cuda/mmq.cuh

Added function name ending for end if

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

* Added function names to closing endif

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

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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2026-04-01 12:04:58 +02:00
Anav PrasadandJohannes Gäßler 88458164c7 CUDA: Add Flash Attention Support for Head Dimension 512 (#20998)
* flash attention support for head dimension 512 added

* FA D=512 - match 576 configs, limit ncols2, revert vec cap

* fix HIP tile kernel build for D=512

* fix HIP tile kernel occupancy for D=512 on AMD

* Apply suggestions from code review

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

* fix tile FA compilation

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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2026-04-01 09:07:24 +02:00
Patrick BuckleyandJohannes Gäßler db9d8aa428 ggml-cuda: native bf16 flash attention for vec kernel (#20525)
* ggml-cuda: native bf16 flash attention for vec and tile kernels

mma kernel still converts bf16 to fp16 before launch, native mma bf16 todo

* ggml-cuda: address code owner review feedback

reverted tile kernel changes to avoid larger refactor

* fix ci failures on turing and hip

* fix bf16 vec kernel compile on hip v_dot2 platforms

* add comments

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2026-03-22 11:05:51 +01:00
Johannes Gäßler 0c21677e43 CUDA: faster FA for GQA > 1 but not power of 2 (#19092) 2026-01-25 21:19:47 +01:00
Aman Gupta b70d251076 CUDA: add gqa_ratio 4 for GLM 4.7 flash (#18953) 2026-01-22 18:51:53 +08:00
theo77186 622cd010ff ggml: CUDA: add head size 72 for flash-attn (#16962) 2025-11-03 14:29:11 +01:00
Johannes Gäßler 11f0af5504 CUDA: faster tile FA, add oob checks, more HSs (#16492) 2025-10-11 20:54:32 +02:00
Johannes Gäßler 75a3a6c2cd CUDA: refactor and deduplicate vector FA kernels (#16208)
* CUDA: refactor and deduplicate vector FA kernels
2025-09-27 18:45:07 +02:00
Aman Gupta a972faebed CUDA: Add mul_mat_id support for the mmf kernel (#15767)
* CUDA: Add mul_mat_id support the mmf

Add support for mul_mat_id for bs < 16

* Review: use warp_size, fix should_use_mmf condition

* Launch one block per expert, stride along n_expert_used

* templatize mul_mat_id

* Pad shmem to 16 bytes, add helper function mul_mat_f_switch_ids

* Reduce compile times by dividing mmf into f16, bf16 and f32 variants

* Divide mmf by ncols_dst

* Add missing files

* Fix MUSA/HIP builds
2025-09-09 14:38:02 +08:00
Aman Gupta 0a16bf52e6 CUDA: generate_cu_files.py - add missing mxfp4 (#15880) 2025-09-09 01:23:46 +08:00
fd1234cb46 llama : add gpt-oss (#15091)
* oai moe

* compat with new checkpoint

* add attn sink impl

* add rope scaling yarn

* logits match with latest transformers code

* wip chat template

* rm trailing space

* use ggml_scale_bias

* rm redundant is_swa_all

* convert interleaved gate_up

* graph : fix activation function to match reference (#7)

* vocab : handle o200k_harmony special tokens

* ggml : add attention sinks support (#1)

* llama : add attn sinks

* ggml : add attn sinks

* cuda : add attn sinks

* vulkan : add support for sinks in softmax

remove unnecessary return

* ggml : add fused swiglu_oai op (#11)

* ggml : add fused swiglu_oai op

* Update ggml/src/ggml-cpu/ops.cpp

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

* update CUDA impl

* cont : metal impl

* add vulkan impl

* test-backend-ops : more test cases, clean up

* llama : remove unfused impl

* remove extra lines

---------

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

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

* repack mxfp4 upon conversion

* clean up a bit

* enable thinking

* add quick hack to render only some special tokens

* fix bf16 conversion

* remove vocab hack

* webui ok

* support chat parsing for gpt-oss

* fix webui

* direct mapping mxfp4, FINALLY

* force using mxfp4

* properly use lazy tensor

* ggml : add mxfp4

ggml : use e8m0 conversion instead of powf

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

change kvalues_mxfp4 table to match e2m1 (#6)

metal : remove quantization for now (not used)

cuda : fix disabled CUDA graphs due to ffn moe bias

vulkan : add support for mxfp4

cont : add cm2 dequant

* ggml : add ggml_add_id (#13)

* ggml : add ggml_add_id

* add cuda impl

* llama : add weight support check for add_id

* perf opt

* add vulkan impl

* rename cuda files

* add metal impl

* allow in-place ggml_add_id

* llama : keep biases on CPU with --cpu-moe

* llama : fix compile error

ggml-ci

* cuda : add fallback for __nv_cvt_e8m0_to_bf16raw

ggml-ci

* cleanup

ggml-ci

* sycl : fix supports_op for MXFP4

ggml-ci

* fix Unknown reasoning format

* ggml-cpu : fix AVX build

ggml-ci

* fix hip build

ggml-ci

* cuda : add mxfp4 dequantization support for cuBLAS

ggml-ci

* ggml-cpu : fix mxfp4 fallback definitions for some architectures

ggml-ci

* cuda : fix version required for __nv_cvt_e8m0_to_bf16raw

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Co-authored-by: slaren <slarengh@gmail.com>
2025-08-05 22:10:36 +03:00
Johannes Gäßler 0cf6725e9f CUDA: FA support for Deepseek (Ampere or newer) (#13306)
* CUDA: FA support for Deepseek (Ampere or newer)

* do loop unrolling via C++ template
2025-05-09 13:34:58 +02:00
Johannes Gäßler 5fa07c2f93 CUDA: optimize FA for GQA + large batches (#12014) 2025-02-22 12:20:17 +01:00
Johannes GäßlerandDiego Devesa 864a0b67a6 CUDA: use mma PTX instructions for FlashAttention (#11583)
* CUDA: use mma PTX instructions for FlashAttention

* __shfl_sync workaround for movmatrix

* add __shfl_sync to HIP

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-02-02 19:31:09 +01:00
Johannes Gäßler 69c487f4ed CUDA: MMQ code deduplication + iquant support (#8495)
* CUDA: MMQ code deduplication + iquant support

* 1 less parallel job for CI build
2024-07-20 22:25:26 +02:00
Johannes Gäßler 8e558309dc CUDA: MMQ support for iq4_nl, iq4_xs (#8278) 2024-07-05 09:06:31 +02:00
Georgi Gerganovandslaren f3f65429c4 llama : reorganize source code + improve CMake (#8006)
* scripts : update sync [no ci]

* files : relocate [no ci]

* ci : disable kompute build [no ci]

* cmake : fixes [no ci]

* server : fix mingw build

ggml-ci

* cmake : minor [no ci]

* cmake : link math library [no ci]

* cmake : build normal ggml library (not object library) [no ci]

* cmake : fix kompute build

ggml-ci

* make,cmake : fix LLAMA_CUDA + replace GGML_CDEF_PRIVATE

ggml-ci

* move public backend headers to the public include directory (#8122)

* move public backend headers to the public include directory

* nix test

* spm : fix metal header

---------

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

* scripts : fix sync paths [no ci]

* scripts : sync ggml-blas.h [no ci]

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Co-authored-by: slaren <slarengh@gmail.com>
2024-06-26 18:33:02 +03:00