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24 Commits

Author SHA1 Message Date
Johannes Gäßler
54a2ee648f RoPE: fix back, CUDA support for back + noncont. (llama/11240) 
* RoPE: fix back, CUDA support for back + noncont.

* fix comments reg. non-cont. RoPE support [no-ci]
 2025-02-03 22:00:57 +02:00
issixx
f12559d590 ggml-cpu : fix ggml_graph_compute_thread did not terminate on abort. (ggml/1065) 
some threads kept looping and failed to terminate properly after an abort during CPU execution.

Co-authored-by: issi <issi@gmail.com>
 2025-02-03 22:00:57 +02:00
Molly Sophia
06209f6683 llama: add support for QRWKV6 model architecture (llama/11001) 
llama: add support for QRWKV6 model architecture (llama/11001)

* WIP: Add support for RWKV6Qwen2

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* RWKV: Some graph simplification

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Add support for RWKV6Qwen2 with cpu and cuda GLA

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* RWKV6[QWEN2]: Concat lerp weights together to reduce cpu overhead

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Fix some typos

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* code format changes

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Fix wkv test & add gla test

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Fix cuda warning

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Update README.md

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Update ggml/src/ggml-cuda/gla.cu

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

* Fix fused lerp weights loading with RWKV6

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* better sanity check skipping for QRWKV6 in llama-quant

thanks @compilade

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: compilade <git@compilade.net>

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: compilade <git@compilade.net>
 2025-01-14 10:38:01 +02:00
Djip007
bcf937c216 ggml : more perfo with llamafile tinyblas on x86_64 (llama/10714) 
* more perfo with llamafile tinyblas on x86_64.

- add bf16 suport
- change dispache strategie (thanks:
https://github.com/ikawrakow/ik_llama.cpp/pull/71 )
- reduce memory bandwidth

simple tinyblas dispache and more cache freindly

* tinyblas dynamic dispaching

* sgemm: add M blocs.

* - git 2.47 use short id of len 9.
- show-progress is not part of GNU Wget2

* remove not stable test
 2025-01-04 10:45:01 +02:00
Diego Devesa
3387415bad ggml : fix const usage in SSE path (llama/10962) 2025-01-04 10:45:01 +02:00
HimariO
e22d38e4f2 llama : add Qwen2VL support + multimodal RoPE (llama/10361) 
* Barebone Qwen2VL LLM convertor

* Add Qwen2VL cli entrypoint

* [WIP] add qwen2vl arch

* Verify m-rope output

* Add vl-rope/2d-rope support for qwen2vl ViT

* update qwen2vl cli tool

* update 5D tensor op workaround

* [WIP] qwen2vl vision model

* make batch and clip utils compatible with qwen2vl

* [WIP] create inference workflow, gguf convert script but fix

* correcting vision-rope behavior, add the missing last layer back to ViT

* add arg parser to qwen2vl_surgery

* replace variable size array with vector

* cuda-gdb cmake preset

* add fp32 mrope, vision rope kernel

* add fp16 support for qwen2vl and m-rope

* add `GGML_ROPE_TYPE_MROPE`, `GGML_ROPE_TYPE_VISION`

* fix rope op mode switching, out dated func args

* update `llama_hparams`

* update to keep up stream changes

* resolve linter, test errors

* add makefile entry, update speical image padding token

* add mrope unit test, fix few compiler warnings

* rename `mrope` related function, params

* minor updates on debug util, bug fixs

* add `m-rope` testcase to `test-backend-ops`

* Apply suggestions from code review

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

* fix traililng whitespce

* store `llama_hparams.rope_sections` with fixed size array

* update position id tensor size check in GGML_OP_ROPE

* minor updates

* update `ggml_backend_*_supports_op` of unsupported backends

* remote old `rope_section` compare operator

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-12-18 12:52:16 +02:00
Karol Kontny
e6eed605cf ggml : Fix compilation issues on ARM platform when building without fp16 (llama/10811) 2024-12-18 12:52:16 +02:00
Diego Devesa
1193e494a9 remove CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS (llama/10797) 
other windows build fixes
 2024-12-18 12:52:16 +02:00
Djip007
e990d1b791 ggml : refactor online repacking (llama/10446) 
* rename ggml-cpu-aarch64.c to .cpp

* reformat extra cpu backend.

- clean Q4_0_N_M and IQ4_0_N_M
  - remove from "file" tensor type
  - allow only with dynamic repack

- extract cpu extra bufts and convert to C++
  - hbm
  - "aarch64"

- more generic use of extra buffer
  - generalise extra_supports_op
  - new API for "cpu-accel":
     - amx
     - aarch64

* clang-format

* Clean Q4_0_N_M ref

Enable restrict on C++

* add op GGML_OP_MUL_MAT_ID for Q4_0_N_M with runtime repack

* added/corrected control on tensor size for Q4 repacking.

* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp

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

* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp

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

* add debug logs on repacks.

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-12-18 12:52:16 +02:00
Diego Devesa
a815940e0e ggml : add predefined list of CPU backend variants to build (llama/10626) 
* ggml : add predefined list of CPU backend variants to build

* update CPU dockerfiles
 2024-12-08 20:14:35 +02:00
Diego Devesa
904e307bce ggml-cpu : fix HWCAP2_I8MM value (llama/10646) 2024-12-08 20:14:35 +02:00
PAB
b7c64a4352 ggml: add GGML_SET Metal kernel + i32 CPU kernel (ggml/1037) 
* implemented cpu kernel

* add i32 test cases in test-backend-ops

* typedef `ggml_metal_kargs_set`

* implemented `kernel_set`

* memcpy
 2024-12-08 20:14:35 +02:00
PAB
7895d39508 ggml : add GGML_PAD_REFLECT_1D operation (ggml/1034) 
* ggml_pad_reflect_1d defined in header

* implemented on CPU

* called the forward pass

* impl Metal kernel

* added Metal kernel

* added OP_PAD_REFLECT_1D in test-backend-ops.cpp

* add test-pad-reflect-1d test case

* test case support multiple backend
 2024-12-08 20:14:35 +02:00
Diego Devesa
3daeacad24 ggml : move AMX to the CPU backend (llama/10570) 
ggml : automatic selection of best CPU backend (llama/10606)
 2024-12-08 20:14:35 +02:00
Georgi Gerganov
3623bd58f2 ggml : fix I8MM Q4_1 scaling factor conversion (llama/10562) 
ggml-ci
 2024-12-08 20:14:35 +02:00
Georgi Gerganov
4ca1e72fe0 ggml : fix row condition for i8mm kernels (llama/10561) 
ggml-ci
 2024-12-08 20:14:35 +02:00
Shupei Fan
330273901f ggml-cpu: support IQ4_NL_4_4 by runtime repack (llama/10541) 
* ggml-cpu: support IQ4_NL_4_4 by runtime repack

* ggml-cpu: add __ARM_FEATURE_DOTPROD guard
 2024-12-08 20:14:35 +02:00
Diego Devesa
77e3e4a090 ggml : add support for dynamic loading of backends (llama/10469) 
* ggml : add support for dynamic loading of backends

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-12-08 20:14:35 +02:00
Diego Devesa
8b1c1c30a7 ggml : do not use ARM features not included in the build (llama/10457) 2024-12-08 20:14:35 +02:00
FirstTimeEZ
45cf1634dc ggml : fix undefined reference to 'getcpu' (llama/10354) 
https://github.com/ggerganov/llama.cpp/issues/10352
 2024-11-20 21:00:08 +02:00
Johannes Gäßler
c9541741e6 ggml: new optimization interface (ggml/988) 
* ggml: new optimization interface

remove test2.c, test3.c

store adamw params in tensor

move grads from tensor to graph

* avoid segfault upon API misuse

* add ggml-opt.h to public headers

* remove dependence of ggml-opt.cpp on ggml-cpu.h
 2024-11-20 21:00:08 +02:00
Eve
3216efef2e AVX BF16 and single scale quant optimizations (llama/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
 2024-11-20 21:00:08 +02:00
Charles Xu
3298916e5e backend cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels (llama/9921) 
* backend-cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
 2024-11-20 21:00:08 +02:00
Diego Devesa
746bf2596f ggml : build backends as libraries (llama/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>
 2024-11-20 21:00:08 +02:00