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Author SHA1 Message Date
Johannes Gäßler
e89fdceec2 CUDA: fix MMQ stream-k rounding if ne00 % 128 != 0 (llama/8311) 2024-07-08 14:53:55 +03:00
luoyu-intel
29a2739d27 Fix WARP_SIZE=16 bug of Intel GPU (llama/8266) 
* fix group_norm ut

* split softmax

* fix softmax

* add concat support condition

* revert debug code

* move QK_WARP_SIZE to presets.hpp
 2024-07-08 14:53:55 +03:00
Neo Zhang Jianyu
ee6d17f6b4 rm get_work_group_size() by local cache for performance (llama/8286) 
Co-authored-by: arthw <14088817+arthw@users.noreply.github.com>
 2024-07-08 14:53:55 +03:00
Daniele
95e90823d9 Define and optimize RDNA1 (llama/8085) 2024-07-08 14:53:55 +03:00
Judd
005cc45df3 fix typo (llama/8267) 
Co-authored-by: Judd <foldl@boxvest.com>
 2024-07-08 14:53:55 +03:00
Clint Herron
c2c60dc9ba Removes multiple newlines at the end of files that is breaking the editorconfig step of CI. (llama/8258) 2024-07-08 14:53:55 +03:00
slaren
4af3194b7c cuda : update supports_op for matrix multiplication (llama/8245) 2024-07-08 14:53:55 +03:00
luoyu-intel
4a2ba1a065 Fix win build conflict of math library (llama/8230) 
* fix win build conflict of math library

* fix the condition: !(win32 & SYCL)

* revert warp_size=16
 2024-07-08 14:53:55 +03:00
luoyu-intel
f096cc6807 Fix the sub group size of Intel (llama/8106) 
* use warp_size macro for all sycl kernels

* fix mask of permute_sub_group_by_xor

* fix rms_norm with correct warp number

* fix rms_norm_f32/group_norm_f32

* move norm to norm.cpp file

* fix quantize bug

* fix mmvq's batch size
 2024-07-08 14:53:55 +03:00
Johannes Gäßler
e4bc83ab47 CUDA: refactor and optimize IQ MMVQ (llama/8215) 
* CUDA: refactor and optimize IQ MMVQ

* uint -> uint32_t

* __dp4a -> ggml_cuda_dp4a

* remove MIN_CC_DP4A checks

* change default

* try CI fix
 2024-07-08 14:53:55 +03:00
zhentaoyu
db7e0dbe6e Update SYCL-Rope op and Refactor (llama/8157) 
* align with rope.cu and move sycl-op to a single file
 2024-07-08 14:53:55 +03:00
Johannes Gäßler
bf88c94da9 CUDA: fix MMQ stream-k for --split-mode row (llama/8167) 2024-07-08 14:53:55 +03:00
John Balis
3eea171cab feat: cuda implementation for ggml_conv_transpose_1d (ggml/854) 
* conv transpose 1d passing test for 1d input and kernel

* working for different input and output channel counts, added test for variable stride

* initial draft appears to work with stride other than 1

* working with all old and new conv1d  tests

* added a test for large tensors

* removed use cuda hardcoding

* restored test-conv-transpose.c

* removed unused arugments, and fixed bug where test failure would cause subsequent tests to fail

* fixed accumulator bug

* added test to test-backend-ops

* fixed mistake

* addressed review

* fixed includes

* removed blank lines

* style and warning fixes

* return failure when test fails

* fix supports_op

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2024-07-08 14:53:55 +03:00
Georgi Gerganov
64a56ebf13
ci : disable java build 2024-07-08 14:26:59 +03:00
Emmanuel Schmidbauer
bec9836849
server : add inference path to make OAI API compatible (#2270) 2024-07-08 14:24:58 +03:00
Georgi Gerganov
c118733a29
sync : ggml + fix sync script 2024-06-26 23:20:19 +03:00
Georgi Gerganov
bb3dd45524
make : disable CUDA graphs 2024-06-26 23:20:13 +03:00
slaren
04e7fa6f4f
ggml : add GGML_CUDA_USE_GRAPHS option, restore GGML_CUDA_FORCE_CUBLAS (cmake) (llama/8140) 2024-06-26 23:18:11 +03:00
Georgi Gerganov
9f7f36d4c9
make : disable CUDA mel build 2024-06-26 22:25:25 +03:00
Georgi Gerganov
4a62efbb95
cmake : minor fixes 2024-06-26 21:42:39 +03:00
Georgi Gerganov
0a55a70b9b
make : fix missing -O3 
same as https://github.com/ggerganov/llama.cpp/pull/8143
 2024-06-26 21:21:12 +03:00
Georgi Gerganov
dc8cc2dd6f
whisper : disable CUDA mel + fix FFMPEG 2024-06-26 20:11:38 +03:00
Georgi Gerganov
3efedb9511
sync : ggml 2024-06-26 19:40:23 +03:00
Georgi Gerganov
e30c679928
whisper : reorganize source code + improve CMake (#2256) 
* scripts : update sync [no ci]

* files : reorganize [no ci]

* sync : llama.cpp

* cmake : link math library

* cmake : build normal ggml library

* files : move headers to include

* objc : fix path to ggml-metal.h

* ci : fix WHISPER_CUDA -> GGML_CUDA

* scripts : sync LICENSE [no ci]
 2024-06-26 19:34:09 +03:00
mky_coder
bf4cb4abad
whisper : optimize fft() function (#2242) 
Co-authored-by: Mike Fan <60965742+mike-fzy@users.noreply.github.com>
 2024-06-18 18:10:33 +03:00
Georgi Gerganov
e293f17d34
talk-llama : sync llama.cpp 2024-06-18 09:45:37 +03:00
Georgi Gerganov
5d950c4b8d whisper : use ggml_backend_sched (#2239) 
* whisper : use ggml_backend_sched (wip)

* use sched in whisper_allocr

* whisper : single backend in whisper_context

* whisper : remove whisper_state->backends_used

* whisper : remove whisper_context->backend

* whisper : reset scheduler after init

* whisper : fix external encoder (e.g. CoreML)

* whisper : cleanup

* whisper : handle null GPU buffer types + fix sycl

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2024-06-18 09:39:40 +03:00
Georgi Gerganov
820446e230 fix : remove extra files 2024-06-18 09:39:40 +03:00
Georgi Gerganov
54d5823ebe scripts : sync ggml-blas 2024-06-18 09:39:40 +03:00
Georgi Gerganov
5181494e9f build : update make / cmake 2024-06-18 09:39:40 +03:00
Georgi Gerganov
4a6e6e8b30 sync : ggml 2024-06-18 09:39:40 +03:00
slaren
de29b193f6 move BLAS to a separate backend (cont) (llama/6210) 
ggml-ci
 2024-06-18 09:39:40 +03:00
0cc4m
922971041b Vulkan Shader Refactor, Memory Debugging Option (llama/7947) 
* Refactor shaders, extract GLSL code from ggml_vk_generate_shaders.py into vulkan-shaders directory

* Improve debug log code

* Add memory debug output option

* Fix flake8

* Fix unnecessary high llama-3 VRAM use
 2024-06-18 09:39:40 +03:00
Georgi Gerganov
63a767a134 scripts : stop sync whisper example from ggml 2024-06-18 09:39:40 +03:00
Georgi Gerganov
30841fa786 cmake : fix sycl build (#0) 2024-06-16 18:19:48 +03:00
Georgi Gerganov
3b1ac03828 ggml : remove OpenCL (#0) 2024-06-16 18:19:48 +03:00
Georgi Gerganov
990de617b5 sycl : sync (#0) 2024-06-16 18:19:48 +03:00
Georgi Gerganov
6975600b4b cuda : enable CUDA graphs (#0) 2024-06-16 18:19:48 +03:00
Georgi Gerganov
061eeb9f61 talk-llama : sync llama.cpp 2024-06-16 18:19:48 +03:00
Georgi Gerganov
4942b1b428 cmake : fix CUDA build (#0) 2024-06-16 18:19:48 +03:00
Georgi Gerganov
3c7cc5c437 sync : ggml 
ggml-ci
 2024-06-16 18:19:48 +03:00
Hong Bo PENG
5cd42ee2cc ggml : fix and optimize ppc64le (ggml/849) 
* fix compile issues introduced by loongarch_asx

* restore quant changes to merge

* fix compile issues introduced by loongarch_asx

* further optimize by using vec_msum & vec_sum4s on ppc64le
 2024-06-16 18:19:48 +03:00
Daniel Bevenius
ee718f3da6 ggml : remove duplicate include of ggml-common.h (ggml/853) 
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
 2024-06-16 18:19:48 +03:00
Meng, Hengyu
63eac1f608 remove global variables (llama/7710) 
* separate DPCT helpers outside

* replace global variables with context

* remove useless extra

* update mul_mat condition

* remove duplicate buft initialization

* remove duplicate extra and global work group size

* remove useless backend check

* remove duplicated extras

* use macro for group_size and remove cuda-related
 2024-06-16 18:19:48 +03:00
Johannes Gäßler
b17ba2815b CUDA: faster q2_K, q3_K MMQ + int8 tensor cores (llama/7921) 
* CUDA: faster q2_K, q3_K MMQ + int8 tensor cores

* try CI fix

* try CI fix

* try CI fix

* fix data race

* rever q2_K precision related changes
 2024-06-16 18:19:48 +03:00
Georgi Gerganov
7a489af2f3 metal : utilize max shared memory for mul_mat_id (llama/7935) 2024-06-16 18:19:48 +03:00
Radoslav Gerganov
4a4ea13d6d rpc : fix ggml_backend_rpc_supports_buft() (llama/7918) 2024-06-16 18:19:48 +03:00
slaren
174a461fc6 move BLAS to a separate backend (llama/6210) 
* move BLAS to a separate backend

* rename GGML_USE_OPENBLAS to GGML_USE_BLAS

* alloc : reuse same buffer when the same buffer type if used multiple times

* set number of threads automatically for openblas and blis

* sched : print assignments when GGML_SCHED_DEBUG env variable is set

* sched : allow ops with weights on an incompatible buffer type

This will cause the weight to be copied to a backend that supports the
op, which is very costly. The weight should have been stored in a buffer
of a backend that can run the op, but llama.cpp cannot do this
automatically at the moment.

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-06-16 18:19:48 +03:00
Johannes Gäßler
d8b7a24bc9 CUDA: fix broken oob check for FA vec f32 kernel (llama/7904) 2024-06-16 18:19:48 +03:00
Georgi Gerganov
acf3832c9c tests : add non-cont unary tests (llama/7857) 
* tests : add non-cont unary tests

* ggml : update unary asserts and "supports_op"

ggml-ci
 2024-06-16 18:19:48 +03:00