Jeff Bolz
c31ed2abfc
vulkan: define all quant data structures in types.comp ( #10440 )
2024-11-27 08:32:54 +01:00
Jeff Bolz
5b3466bedf
vulkan: Handle GPUs with less shared memory ( #10468 )
...
There have been reports of failure to compile on systems with <= 32KB
of shared memory (e.g. #10037 ). This change makes the large tile size
fall back to a smaller size if necessary, and makes mul_mat_id fall
back to CPU if there's only 16KB of shared memory.
2024-11-27 08:30:27 +01:00
Jeff Bolz
249a7902ec
vulkan: further optimize q5_k mul_mat_vec ( #10479 )
2024-11-27 08:21:59 +01:00
Jeff Bolz
71a64989a5
vulkan: skip integer div/mod in get_offsets for batch_idx==0 ( #10506 )
2024-11-27 08:08:54 +01:00
Jeff Bolz
4a57d362e1
vulkan: optimize Q2_K and Q3_K mul_mat_vec ( #10459 )
2024-11-27 08:00:50 +01:00
R0CKSTAR
249cd93da3
mtgpu: Add MUSA_DOCKER_ARCH in Dockerfiles && update cmake and make ( #10516 )
...
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2024-11-26 17:00:41 +01:00
Jeff Bolz
904109ed0d
vulkan: fix group_norm ( #10496 )
...
Fix bad calculation of the end of the range. Add a backend test that
covers the bad case (taken from stable diffusion).
Fixes https://github.com/leejet/stable-diffusion.cpp/issues/439 .
2024-11-26 16:45:05 +01:00
Georgi Gerganov
ab96610b1e
cmake : enable warnings in llama ( #10474 )
...
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* cmake : enable warnings in llama
ggml-ci
* cmake : add llama_get_flags and respect LLAMA_FATAL_WARNINGS
* cmake : get_flags -> ggml_get_flags
* speculative-simple : fix warnings
* cmake : reuse ggml_get_flags
ggml-ci
* speculative-simple : fix compile warning
ggml-ci
2024-11-26 14:18:08 +02:00
Charles Xu
25669aa92c
ggml-cpu: cmake add arm64 cpu feature check for macos ( #10487 )
...
* ggml-cpu: cmake add arm64 cpu feature check for macos
* use vmmlaq_s32 for compile option i8mm check
2024-11-26 13:37:05 +02:00
Shanshan Shen
9a4b79bcfa
CANN: Improve the Inferencing Performance for Ascend NPU Device ( #10454 )
...
* improve inferencing performance for ascend npu.
Co-authored-by: Frank Mai <thxCode@thxcode0824@gmail.com>
* some modification after review
* some modifications after review
* restore some modifications
* restore some modifications
---------
Co-authored-by: shanshan shen <shanshanshen333@gmail.com>
Co-authored-by: Frank Mai <thxCode@thxcode0824@gmail.com>
2024-11-26 18:08:37 +08:00
Chenguang Li
7066b4cce2
CANN: RoPE and CANCAT operator optimization ( #10488 )
...
Co-authored-by: noemotiovon <noemotiovon@gmail.com>
2024-11-26 17:31:05 +08:00
Junil Kim
0eb4e12bee
vulkan: Fix a vulkan-shaders-gen arugment parsing error ( #10484 )
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The vulkan-shaders-gen was not parsing the --no-clean argument correctly.
Because the previous code was parsing the arguments which have a value only
and the --no-clean argument does not have a value, it was not being parsed
correctly. This commit can now correctly parse arguments that don't have values.
2024-11-26 01:47:20 +00:00
Georgi Gerganov
106964e3d2
metal : enable mat-vec kernels for bs <= 4 ( #10491 )
2024-11-25 21:49:31 +02:00
Diego Devesa
10bce0450f
llama : accept a list of devices to use to offload a model ( #10497 )
...
* llama : accept a list of devices to use to offload a model
* accept `--dev none` to completely disable offloading
* fix dev list with dl backends
* rename env parameter to LLAMA_ARG_DEVICE for consistency
2024-11-25 19:30:06 +01:00
Diego Devesa
5931c1f233
ggml : add support for dynamic loading of backends ( #10469 )
...
* ggml : add support for dynamic loading of backends
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-11-25 15:13:39 +01:00
Georgi Gerganov
b756441104
metal : minor code formatting
2024-11-25 15:08:04 +02:00
Diego Devesa
55ed008b2d
ggml : do not use ARM features not included in the build ( #10457 )
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2024-11-23 14:41:12 +01:00
leo-pony
c18610b4ee
CANN: Support Ascend310P to accelerate F32 and F16 Model ( #10216 )
...
* CANN Support Ascend310P to accelerate F32 and F16 Model
* Add compile option soc type macro ASCEND_310P to ggml-cann lib
* Remove unused code
* Remove the ascend soc_type hard code compile option in CMakelist.txt
2024-11-22 14:07:20 +08:00
Diego Devesa
a5e47592b6
cuda : optimize argmax ( #10441 )
...
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* cuda : optimize argmax
* remove unused parameter
ggml-ci
* fixup : use full warps
ggml-ci
* Apply suggestions from code review
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* fix ub
* ggml : check ne00 <= INT32_MAX in argmax and argsort
---------
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-11-21 18:18:50 +01:00
slaren
59b9172822
ggml/sched : do not skip views in pre-assignments
2024-11-21 09:22:05 +02:00
Johannes Gäßler
02e4eaf22f
ggml-opt: fix data corruption (ggml/1022)
2024-11-21 09:22:02 +02:00
Jeff Bolz
9abe9eeae9
vulkan: predicate max operation in soft_max shaders/soft_max ( #10437 )
...
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Fixes #10434
2024-11-20 20:47:36 +01:00
Jeff Bolz
8fd4b7fa29
vulkan: copy iq4_nl LUT into shared memory ( #10409 )
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2024-11-20 08:40:18 +01:00
Jeff Bolz
1bacb9f625
vulkan: further optimize mul_mat_vec using larger loads ( #10387 )
...
* vulkan: Use pipeline_robustness to disable robustness in mul_mat_vec.
Add some early returns for nonexistent rows in mul_mat_vec shaders. These
can only be hit when dispatching a 2D grid of workgroups. Fix the logic
for the 2D grid of workgroups to round up.
Enable the pipeline robustness extension if it's available, and use it to
disable robustness for these pipelines. The instructions to do the bounds
checking contend for the same ALU resources as the bit twiddling dequant
instructions.
* vulkan: Add GLSL structure aliases for quant types to allow larger loads
In Vulkan it's not possible to cast pointer types, so instead you have to
declare an aliased binding for the memory with a different type. This
commit adds aliases for the quant formats using 16b ints, and in a few
places where the struct size is a multiple of 4 also using 32b ints.
Currently only q4_k's aliases are used, but others will be used in
subsequent commits.
* vulkan: use larger loads in q5_k and q6_k shaders.
Similar to the optimization I did in q4_k recently, this vectorizes some loads
and reduces the number of bit twiddling instructions.
* vulkan: use larger K step per iteration in mul_mat_vec.
Add vec4 dequantization functions, and use them to do K=8 per iteration in
mul_mat_vec. This uses 16b loads for the quant values and 128b loads for B
which helps reduce the load on the memory system.
The K_PER_ITER==2 logic is still there, just for F16/F32, and really only
because they support unaligned sizes.
Tweak the num_iters/unrolling logic to be simpler and catch a couple missed
unrolling opportunities.
2024-11-20 08:11:00 +01:00
haopeng
42ae10bbcd
add cmake rvv support ( #10411 )
2024-11-19 21:10:31 +01:00
Plamen Minev
611fabd792
metal : fox offset integer overflows in im2col (ggml/1015)
...
-- While running StableDiffusion.cpp locally with Metal some offsets overflow and results in incorrect calculations
2024-11-19 20:03:21 +02:00
PAB
12b0ad953a
metal : add GGML_UNARY_OP_ELU
kernel (ggml/1018)
2024-11-19 20:03:21 +02:00
bandoti
2a11b6b094
Add required ggml-base and backend libs to cmake pkg ( #10407 )
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2024-11-19 17:10:30 +01:00
Diego Devesa
3ee6382d48
cuda : fix CUDA_FLAGS not being applied ( #10403 )
2024-11-19 14:29:38 +01:00
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 )
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ggml-ci
2024-11-17 08:30:29 +02:00
Georgi Gerganov
5d9e59979c
ggml : adapt AMX to tensor->grad removal ( #0 )
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ggml-ci
2024-11-17 08:30:29 +02:00
Georgi Gerganov
68fcb4759c
ggml : fix compile warnings ( #0 )
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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 )
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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