Romain Biessy
2a1507c162
sycl : Add option to set the SYCL architecture for all targets ( #10266 )
...
* Add option to set the SYCL architecture for all targets
* Convert GGML_SYCL_HIP_TARGET to the more generic GGML_SYCL_ARCH option
* Document that setting GGML_SYCL_ARCH can improve the performance
2024-11-19 08:02:23 +00:00
Jeff Bolz
b3e585988f
vulkan: Optimize soft_max ( #10301 )
...
* vulkan: Optimize soft_max
Large soft_max could already saturate memory, but small/medium sizes were
pretty slow. The bulk of the gains for them comes from using a smaller
workgroup size, and making the workgroup size match the subgroup size also
makes the barriers much cheaper.
Cache some values in locals to avoid refetching/recomputing. And stamp
out a few "template instantiations" so smaller cases will fully unroll.
Add a missing early return for OOB rows. This happens when there are more
than 512 rows and the dispatch is 512 x H.
* vulkan: Further soft_max optimizations
Restore the workgroup size of 512 case, use it for >1024.
Use unrollable loops for more iteration counts.
2024-11-19 08:25:17 +01:00
Alberto Cabrera Pérez
557924f222
sycl: Revert MUL_MAT_OP support changes ( #10385 )
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2024-11-19 08:50:04 +08:00
Diego Devesa
d3481e6316
cuda : only use native when supported by cmake ( #10389 )
2024-11-18 18:43:40 +01:00
Jeff Bolz
f139d2ea61
vulkan: remove use of null initializer ( #10372 )
...
Seems like this isn't working for vulkan-over-metal when the array is sized
by a spec constant. Maybe a spirv-cross limitation?
2024-11-18 08:28:42 -06:00
0cc4m
9b75f03cd2
Vulkan: Fix device info output format specifiers ( #10366 )
...
* Vulkan: Fix device info output format specifiers
* Vulkan: Use zu printf specifier for size_t instead of ld
2024-11-18 11:02:43 +01:00
Johannes Gäßler
76e9e58b78
CUDA: fix MMV kernel being used for FP16 src1 ( #10357 )
2024-11-17 23:20:42 +01:00
Johannes Gäßler
ce2e59ba10
CMake: fix typo in comment [no ci] ( #10360 )
2024-11-17 12:59:38 +01:00
Diego Devesa
be5caccef9
llama : only use default buffer types for the KV cache ( #10358 )
2024-11-17 12:25:45 +01:00
Georgi Gerganov
cf32a9b93a
metal : refactor kernel args into structs ( #10238 )
...
* metal : add kernel arg structs (wip)
* metal : fattn args
ggml-ci
* metal : cont + avoid potential int overflow [no ci]
* metal : mul mat struct (wip)
* cont : mul mat vec
* cont : pass by reference
* cont : args is first argument
* cont : use char ptr
* cont : shmem style
* cont : thread counters style
* cont : mul mm id
ggml-ci
* cont : int safety + register optimizations
ggml-ci
* metal : GGML_OP_CONCAT
ggml-ci
* metal : GGML_OP_ADD, GGML_OP_SUB, GGML_OP_MUL, GGML_OP_DIV
* metal : GGML_OP_REPEAT
* metal : GGML_OP_CPY
* metal : GGML_OP_RMS_NORM
* metal : GGML_OP_NORM
* metal : add TODOs for rest of ops
* ggml : add ggml-metal-impl.h
ggml-ci
2024-11-17 11:23:01 +02:00
FirstTimeEZ
a43178299c
ggml : fix undefined reference to 'getcpu' ( #10354 )
...
https://github.com/ggerganov/llama.cpp/issues/10352
2024-11-17 10:39:22 +02:00
Johannes Gäßler
c3ea58aca4
CUDA: remove DMMV, consolidate F16 mult mat vec ( #10318 )
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2024-11-17 09:09:55 +01:00
Johannes Gäßler
467576b6cc
CMake: default to -arch=native for CUDA build ( #10320 )
2024-11-17 09:06:34 +01:00
Diego Devesa
eda7e1d4f5
ggml : fix possible buffer use after free in sched reserve ( #9930 )
2024-11-17 08:31:17 +02:00
Georgi Gerganov
24203e9dd7
ggml : inttypes.h -> cinttypes ( #0 )
...
ggml-ci
2024-11-17 08:30:29 +02:00
Georgi Gerganov
5d9e59979c
ggml : adapt AMX to tensor->grad removal ( #0 )
...
ggml-ci
2024-11-17 08:30:29 +02:00
Georgi Gerganov
68fcb4759c
ggml : fix compile warnings ( #0 )
...
ggml-ci
2024-11-17 08:30:29 +02:00
Johannes Gäßler
8a43e940ab
ggml: new optimization interface (ggml/988)
2024-11-17 08:30:29 +02:00
Georgi Gerganov
db4cfd5dbc
llamafile : fix include path ( #0 )
...
ggml-ci
2024-11-16 20:36:26 +02:00
Jeff Bolz
772703c8ff
vulkan: Optimize some mat-vec mul quant shaders ( #10296 )
...
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Compute two result elements per workgroup (for Q{4,5}_{0,1}). This reuses
the B loads across the rows and also reuses some addressing calculations.
This required manually partially unrolling the loop, since the compiler
is less willing to unroll outer loops.
Add bounds-checking on the last iteration of the loop. I think this was at
least partly broken before.
Optimize the Q4_K shader to vectorize most loads and reduce the number of
bit twiddling instructions.
2024-11-16 07:26:57 +01:00
Dan Johansson
1e58ee1318
ggml : optimize Q4_0 into Q4_0_X_Y repack ( #10324 )
2024-11-16 01:53:37 +01:00
Srihari-mcw
74d73dc85c
Make updates to fix issues with clang-cl builds while using AVX512 flags ( #10314 )
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2024-11-15 22:27:00 +01:00
slaren
883d206fbd
ggml : fix some build issues
2024-11-15 21:45:32 +02:00
Georgi Gerganov
09ecbcb596
cmake : fix ppc64 check (whisper/0)
...
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ggml-ci
2024-11-15 15:44:06 +02:00
thewh1teagle
3225008973
ggml : vulkan logs (whisper/2547)
2024-11-15 15:44:06 +02:00
Eve
18429220bd
AVX BF16 and single scale quant optimizations ( #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
2024-11-15 12:47:58 +01:00
Romain Biessy
5a54af4d4f
sycl: Use syclcompat::dp4a ( #10267 )
...
* sycl: Use syclcompat::dp4a
* Using the syclcompat version allow the compiler to optimize the
operation with native function
* Update news section
* Update CI Windows oneAPI version to 2025.0
* Reword doc
* Call syclcompat::dp4a inside dpct::dp4a
This reverts commit 90cb61d692
.
2024-11-15 11:09:12 +08:00
Charles Xu
1607a5e5b0
backend cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels ( #9921 )
...
* backend-cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels
---------
Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-11-15 01:28:50 +01:00
Diego Devesa
ae8de6d50a
ggml : build backends as libraries ( #10256 )
...
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* 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
4a8ccb37ad
CUDA: no -sm row for very small matrices ( #10185 )
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2024-11-14 13:00:15 +01:00
Jeff Bolz
af148c9386
vulkan: Optimize binary ops ( #10270 )
...
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Reuse the index calculations across all of src0/src1/dst. Add a shader
variant for when src0/src1 are the same dimensions and additional modulus
for src1 aren't needed. Div/mod are slow, so add "fast" div/mod that
have a fast path when the calculation isn't needed or can be done more
cheaply.
2024-11-14 06:22:55 +01:00
Jeff Bolz
66798e42fb
vulkan: Use macros to make the mat mul pipeline creation more concise ( #10259 )
...
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Also add vk_matmul_pipeline2 to hold f16/f32 accumulator versions of a
pipeline. This isn't really used yet.
2024-11-13 21:59:47 +01:00
Alberto Cabrera Pérez
2e82ffa4af
sycl : Fixes to broken builds and test-backend-ops ( #10257 )
...
* Fixes broken build for the SYCL CUDA backend caused by non-explicit gemm call in outprod (merged in with RWKV6 in
Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration #10133 )
* Marks permuted MUL_MAT as unsupported to be able to run test-backend-ops
* Fixes asserts in norm to fix debug builds.
2024-11-13 09:40:57 +00:00
Jeff Bolz
80dd7ff22f
vulkan: Optimize contiguous copies ( #10254 )
...
* tests: Fix memory bandwidth calculation for perf tests
Add a flops calculation for flash attention.
Add one GGML_OP_CPY perf test.
* vulkan: Optimize contiguous copies
Add a variant of the copy shader for when the tensors are contiguous. Avoid
the complex addressing calculations, and do four elements per invocation
to hide some other overhead.
Apply similar changes to the scale shader, since scale is always contiguous.
Add a "progress bar" for shader compiles.
2024-11-13 07:58:57 +01:00
Jeff Bolz
54ef9cfc72
vulkan: Throttle the number of shader compiles during the build step. ( #10222 )
...
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Fixes #9582
Spawning too many concurrent copies of glslc leads to "Failed to create pipes"
errors on Linux. This change applies the same throttling we use for
multithreaded pipeline creation.
2024-11-11 18:13:51 +01:00
Georgi Gerganov
b0cefea58a
metal : more precise Q*K in FA vec kernel ( #10247 )
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2024-11-11 08:39:13 +02:00
Jeff Bolz
160687b3ed
vulkan: Fix newly added tests for permuted mul_mat and 1D im2col ( #10226 )
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2024-11-10 12:37:56 +01:00
Georgi Gerganov
6423c65aa8
metal : reorder write loop in mul mat kernel + style ( #10231 )
...
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* metal : reorder write loop
* metal : int -> short, style
ggml-ci
2024-11-09 11:53:13 +02:00
Georgi Gerganov
39a334a9aa
metal : fix build and some more comments ( #10229 )
2024-11-09 11:53:02 +02:00
Georgi Gerganov
bb38cdd8ba
metal : fix F32 accumulation in FA vec kernel ( #10232 )
2024-11-09 11:52:45 +02:00
Georgi Gerganov
46323fa9ef
metal : hide debug messages from normal log
2024-11-09 11:21:49 +02:00
SXX
5b359bb1e3
ggml: fix zero division in ‘dne’ calculation in CUDA COUNT_EQUAL operator when ‘ne’ is small ( #10213 )
2024-11-09 08:35:46 +01:00
amritahs-ibm
e89213492d
ggml : optimize llamafile cpu matrix multiplication for ppc64le ( #10156 )
...
This change upstreams llamafile's cpu matrix
multiplication kernels for ppc64le using MMA
builtins for FP32 datatype.
This change results in a consistent 90%
improvement in input processing time, and 20%
to 80% improvement in output processing time,
across various batch sizes.
The patch is tested with Meta-Lllama-3-8B,
Mistral-7B, Llama-2-7B-chat-hf models on a
IBM POWER10 machine.
Signed-off-by: Amrita H S <amritahs@linux.vnet.ibm.com>
2024-11-09 09:17:50 +02:00
Georgi Gerganov
ec450d3bbf
metal : opt-in compile flag for BF16 ( #10218 )
...
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* metal : opt-in compile flag for BF16
ggml-ci
* ci : use BF16
ggml-ci
* swift : switch back to v12
* metal : has_float -> use_float
ggml-ci
* metal : fix BF16 check in MSL
ggml-ci
2024-11-08 21:59:46 +02:00
Georgi Gerganov
695ad752b2
metal : improve clarity (minor) ( #10171 )
2024-11-08 18:37:41 +02:00
Georgi Gerganov
841f27abdb
metal : optimize FA kernels ( #10171 )
...
* ggml : add ggml_flash_attn_ext_get_prec
* metal : use F16 precision in FA kernels
ggml-ci
* metal : minor clean-up
* metal : compile-guard bf16 FA kernels
ggml-ci
* build : remove obsolete compile flag [no ci]
* metal : prevent int overflows [no ci]
* cuda : disable BF16 FA
ggml-ci
* metal : fix BF16 requirement for FA kernels
ggml-ci
* make : clean-up [no ci]
2024-11-08 13:47:22 +02:00
Diego Devesa
97404c4a03
ggml : add ggml-cpu.h to the public headers ( #10204 )
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2024-11-07 18:16:08 +01:00
snadampal
2319126a70
fix q4_0_8_8 format for corrupted tokens issue ( #10198 )
...
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Co-authored-by: EC2 Default User <ec2-user@ip-172-31-62-167.us-west-2.compute.internal>
2024-11-07 09:02:08 +01:00
Zhiyuan Li
3bcd40b3c5
Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration ( #10133 )
...
* rwkv6: rename to wkv6
* rwkv6: support avx2 avx512 armv8 armv9
* rwkv6: update cuda file name
* rwkv6: rename params
* wkv on sycl
* sycl: add some ops
* sycl: Enhance OP support judgment
* wkv6: drop armv9 and tranfer to GGML style
ggml-ci
* sync : ggml
* update the function to use appropriate types
* fix define error
* Update ggml/src/ggml-cpu.c
* add appropriate asserts
* move element-wise functions outside
* put the declaration outside the loop
* rewrite to be more inline with the common pattern for distributing threads
* use recommended way GGML_TENSOR_LOCALS
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Diego Devesa <slarengh@gmail.com>
Co-authored-by: Plamen Minev <pacominev@gmail.com>
Co-authored-by: Yuri Khrustalev <ykhrustalev@users.noreply.github.com>
Co-authored-by: Meng, Hengyu <airdldl@163.com>
2024-11-07 15:19:10 +08:00
Georgi Gerganov
5c333e0140
metal : add BF16 support ( #8439 )
...
* ggml : add initial BF16 support
ggml-ci
* metal : add mul_mat_id BF16 support
ggml-ci
* metal : check for bfloat support on the Metal device
ggml-ci
* metal : better var names [no ci]
* metal : do not build bfloat kernels when not supported
ggml-ci
* metal : try to fix BF16 support check
ggml-ci
* metal : this should correctly check bfloat support
2024-11-06 19:53:51 +02:00