Commit Graph

21 Commits

Author SHA1 Message Date
Georgi Gerganov
225e7a1438 llama : add high-throughput mode (#14363)
* kv-cache : prepare K/V buffers for separation

ggml-ci

* batched-bench : fix oob write

ggml-ci

* llama : add "virtual sequences"

ggml-ci

* llama : use "stream" vs "virtual sequence"

ggml-ci

* graph : fix stream splitting when KV cache is not used

ggml-ci

* kv-cache : add multi-stream save/load support

ggml-ci

* llama : add "--attn-streams" flag

ggml-ci

* kv-cache : fix handling when find_slot fails

ggml-ci

* kv-cache : restore find_slot impl

ggml-ci

* kv-cache : add comments

* kv-cache : add bounds checks for sequence id

ggml-ci

* cont : add n_seq_max to batch allocr

ggml-ci

* kv-cache : perform stream copies lazily after llama_synchronize

ggml-ci

* kv-cache : avoid throwing exceptions across the C boundary

ggml-ci

* CUDA: 4D FlashAttention support (#14628)

* CUDA: 4D FlashAttention support

* CUDA: fix WMMA FA kernel

* llama : rename attn_streams -> kv_unified

ggml-ci

* common : rename kv_split -> kv_unified

ggml-ci

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-07-16 16:35:42 +03:00
Johannes Gäßler
12a81af45f CUDA: broadcasting for FlashAttention mask (#14500) 2025-07-02 15:48:33 +03:00
Johannes Gäßler
a68247439b CUDA: fix FA tg at long context for CC >= 8.9 (#13852) 2025-05-28 13:33:37 +02:00
Johannes Gäßler
6da34fa276 CUDA: faster Deepseek FA, add Turing support (#13435) 2025-05-14 16:08:20 +02:00
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
2356fb1d53 CUDA: fix bad asserts for partial offload (#13337) 2025-05-06 13:58:51 +02:00
R0CKSTAR
916c83bfe7 musa: fix compilation warnings in mp_22/31 (#12780)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-04-06 15:23:54 +02:00
R0CKSTAR
492d7f1ff7 musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611)
* musa: fix all warnings

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: enable -DLLAMA_FATAL_WARNINGS=ON in run.sh

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: update ci doc (install ccache)

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* fix Windows build issue

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Address review comments

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Address review comments

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-03-30 10:59:38 +02:00
Gaurav Garg
517b5ddbf0 CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183)
- Find out active blocks per SM using cudaOccupancyMaxActiveBlocksPerMultiprocessor API. Use this value to determine the optimal parallel_blocks value.
- Prefer vector flash attention kernels over MMA kernel for BS=1

Fixes Issue: #12182
---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-03-19 20:52:06 +01:00
uvos
34c961b181 CUDA/HIP: Fix fattn-vec-* when device warp size is not 32 (#12315)
When fattn-wmma was ported over to warp64 various bits that also touch fattn-vec where converted to
selectable warp size, however the fattn-vec kernels dont work with 64 wide warps for now, so we need
to avoid launching them with parameters for warp64
2025-03-12 10:14:11 +01:00
David Huang
becade5de7 HIP: implement FlashAttention via rocWMMA for CDNA and RDNA3+ (#12032)
Adds GGML_HIP_ROCWMMA_FATTN and rocwmma header check
Adds rocWMMA support to fattn-wmma-f16

---

Signed-off-by: Carl Klemm <carl@uvos.xyz>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
Co-authored-by: Ben Jackson <ben@ben.com>
2025-03-03 22:10:54 +01:00
Johannes Gäßler
5fa07c2f93 CUDA: optimize FA for GQA + large batches (#12014) 2025-02-22 12:20:17 +01:00
Johannes Gäßler
73e2ed3ce3 CUDA: use async data loading for FlashAttention (#11894)
* CUDA: use async data loading for FlashAttention

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-02-17 14:03:24 +01:00
Johannes Gäßler
6eecde3cc8 HIP: fix flash_attn_stream_k_fixup warning (#11604) 2025-02-02 23:48:29 +01:00
Johannes Gäßler
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
Diego Devesa
ae8de6d50a ggml : build backends as libraries (#10256)
* ggml : build backends as libraries

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com>
2024-11-14 18:04:35 +01:00
Johannes Gäßler
e11bd856d5 CPU/CUDA: Gemma 2 FlashAttention support (#8542)
* CPU/CUDA: Gemma 2 FlashAttention support

* apply logit_softcap to scale in kernel

* disable logit softcapping tests on Metal

* remove metal check
2024-08-24 21:34:59 +02:00
slaren
2b1f616b20 ggml : reduce hash table reset cost (#8698)
* ggml : reduce hash table reset cost

* fix unreachable code warnings after GGML_ASSERT(false)

* GGML_ASSERT(false) -> GGML_ABORT("fatal error")

* GGML_ABORT use format string
2024-07-27 04:41:55 +02:00
Johannes Gäßler
8e558309dc CUDA: MMQ support for iq4_nl, iq4_xs (#8278) 2024-07-05 09:06:31 +02:00
Johannes Gäßler
cb5fad4c6c CUDA: refactor and optimize IQ MMVQ (#8215)
* CUDA: refactor and optimize IQ MMVQ

* uint -> uint32_t

* __dp4a -> ggml_cuda_dp4a

* remove MIN_CC_DP4A checks

* change default

* try CI fix
2024-07-01 20:39:06 +02:00
Georgi Gerganov
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]

---------

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