Commit Graph

386 Commits

Author SHA1 Message Date
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)
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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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
Diego Devesa
94d8cb8be1
metal : fix from ptr buffer name (#10189) 2024-11-06 12:10:07 +01:00
Georgi Gerganov
1dc04b2dee
ggml : adjust is_first_call init value (#10193)
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ggml-ci
2024-11-06 11:20:10 +02:00
Georgi Gerganov
a1eaf6a960
metal : add quantized FA support (#10149)
* metal : add quantized FA (vec) support

ggml-ci

* metal : add quantized FA (non-vec) support

* metal : fix support check

ggml-ci

* metal : clean-up

* metal : clean-up (cont)

* metal : fix shared memory calc + reduce smem + comments

* metal : float-correctness

* metal : minor [no ci]
2024-11-06 10:24:23 +02:00
Diego Devesa
a9e8a9a030
ggml : fix arch check in bf16_to_fp32 (#10164)
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2024-11-04 23:17:01 +01:00
Eve
3407364776
Q6_K AVX improvements (#10118)
* q6_k instruction reordering attempt

* better subtract method

* should be theoretically faster

small improvement with shuffle lut, likely because all loads are already done at that stage

* optimize bit fiddling

* handle -32 offset separately. bsums exists for a reason!

* use shift

* Update ggml-quants.c

* have to update ci macos version to 13 as 12 doesnt work now. 13 is still x86
2024-11-04 23:06:31 +01:00
Diego Devesa
d5a409e57f
ggml : fix gelu tables initialization (#10172) 2024-11-04 20:06:58 +01:00
Diego Devesa
401558b7ba
ggml : fix q4xx mat mul, increase ggml_aligned_malloc alignment (#10167)
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2024-11-04 17:34:08 +01:00
snadampal
6a066b9978
fix build break on arm64 linux (#10166)
This fixes the build break from the recent changes
to move the CPU backend to separate files
https://github.com/ggerganov/llama.cpp/pull/10144
2024-11-04 16:08:33 +01:00
Diego Devesa
ea02c753eb
cuda : clear error after changing peer access (#10153) 2024-11-04 13:10:23 +01:00
Georgi Gerganov
05697f670b
metal : simplify f16 and f32 dequant kernels (#0) 2024-11-04 13:49:34 +02:00
Georgi Gerganov
f8e58135cf
metal : move dequantize templates to beginning of MSL source (#0) 2024-11-04 13:44:06 +02:00
leo-pony
329ed914c9
CANN: adjust backend registry refactor. (#10158)
remove buffer->iface.get_name that used in cann as it was removed in backend registry refactor PR.
2024-11-04 19:08:22 +08:00
Yuri Khrustalev
284e5b0275
cmake : make it possible linking ggml as external lib (ggml/1003) 2024-11-04 10:33:11 +02:00
Plamen Minev
e2292aaa17
metal : fix minor string leaks (ggml/1004) 2024-11-04 10:33:10 +02:00
Diego Devesa
9f40989351
ggml : move CPU backend to a separate file (#10144)
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2024-11-03 19:34:08 +01:00
Georgi Gerganov
08828a6d7d
metal : minor fixup in FA kernel (#10143)
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* metal : minor fixup in FA kernel

ggml-ci

* metal : use the unrolled loop variable

* metal : remove unused var
2024-11-03 15:18:40 +02:00
Diego Devesa
a6744e43e8
llama : add simple-chat example (#10124)
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* llama : add simple-chat example

---------

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-11-01 23:50:59 +01:00
Diego Devesa
e991e3127f
llama : use smart pointers for ggml resources (#10117) 2024-11-01 23:48:26 +01:00
Shupei Fan
418f5eef26
vulkan : improve ggml_vk_create_buffer error handling (#9898) 2024-11-01 19:33:14 +01:00
Georgi Gerganov
1804adb0cf
ggml : remove ggml_scratch (#10121)
ggml-ci
2024-11-01 12:58:45 +02:00
Georgi Gerganov
f221d56220
ggml : alloc ggml_contexts on the heap (whisper/2525) 2024-11-01 10:24:50 +02:00
Zhenwei Jin
e597e50794
build: fix build error in Windows env with OneAPI setup (#10107) 2024-11-01 11:09:59 +08:00
Diego Devesa
c02e5ab2a6
llama : fix buffer checks for mamba and rwk (#10111)
* llama : fix buffer checks for mamba and rwk

* llama : fix missing worst case flag during reserve

* cuda : fix supports_op for norm

* disable sched SET_CAUSE
2024-10-31 22:54:23 +01:00
Diego Devesa
dea5e86051
ggml : check tensor name lengths in gguf files (#10100) 2024-10-31 11:40:59 +01:00
Sergio López
1329c0a75e
kompute: add mul_mat_q4_k shader (#10097)
This is a more or less direct translation from the Metal implementation
to GLSL.

Signed-off-by: Sergio Lopez <slp@redhat.com>
2024-10-31 11:09:52 +02:00
Sergio López
61408e7fad
kompute: add backend registry / device interfaces (#10045)
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Get in line with the other backends by supporting the newer
backend/device registry interfaces.

Signed-off-by: Sergio Lopez <slp@redhat.com>
2024-10-30 17:01:52 +01:00
Diego Devesa
b9e02e8184
ggml : fix memory leaks when loading invalid gguf files (#10094)
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* ggml : fix gguf string leak when reading kv pairs fails

* ggml : avoid crashing with GGML_ABORT when the KV has an invalid type

* ggml : avoid crashing on failed memory allocations when loading a gguf file
2024-10-30 14:51:21 +01:00
xctan
fc83a9e584
ggml : add Q4_0_8_8 RISC-V GEMV and GEMM kernels (#10029)
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* ggml : RISC-V vector gemv for q4_0_8x8

* ggml : Added WIP rvv q4_0_8x8 gemm

* ggml : Added initial implementation of rvv gemm

* ggml : optimize gemm to avoid register spillover

* ggml : Fix GCC rvv load alignment issue

* ggml : Format gemm rvv code

* ggml : Fix a typo in RVV q4_0_8_8 GEMM
2024-10-30 09:00:40 +02:00
Diego Devesa
c5b0f4b5d9
llama : refactor model loader with backend registry (#10026) 2024-10-30 02:01:23 +01:00
Changyeon Kim
8f275a7c45
ggml: Add POOL2D OP for GPU acceleration to the Vulkan backend in the MobileVLM model. (#9763)
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* ggml: Add POOL2D OP for GPU ACC to the Vulkan.

- The MobileVLM model now supports inference acceleration through GPU by utilizing the Vulkan backend.
- A GGML_OP_POOL_2D shader has been added. (Pooling)
- The encoding performance of the CLIP model improved from 2.8s on the CPU to 0.7s on the GPU.

Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>

* [fix] Correct the incorrect order of the parameters.

fix casting to int.

Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>

---------

Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>
2024-10-29 09:52:56 +01:00
R0CKSTAR
524afeec9d
musa: workaround for Guilty Lockup in cleaning src0 (#10042)
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Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2024-10-28 10:02:48 +01:00
bssrdf
8c60a8a462
increase cuda_cpy block size (ggml/996)
Co-authored-by: bssrdf <bssrdf@gmail.com>
2024-10-26 10:33:56 +03:00
Georgi Gerganov
668750357e
metal : support permuted matrix multiplicaions (#10033)
* metal : support permuted matrix multiplicaions

ggml-ci

* cont : use nb01 directly for row steps

ggml-ci

* cont : add comments [no ci]

* metal : minor refactor

* metal : minor
2024-10-25 22:26:15 +03:00
Srihari-mcw
2f8bd2b901
llamafile : extend sgemm.cpp support for Q5_0 models (#10010)
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2024-10-25 10:27:41 +03:00
Johannes Gäßler
167a515651
CUDA: fix insufficient buffer clearing for MMQ (#10032)
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2024-10-24 14:40:23 +02:00
Johannes Gäßler
c39665f589
CUDA: fix MMQ for non-contiguous src0, add tests (#10021)
* CUDA: fix MMQ for non-contiguous src0, add tests

* revise test code
2024-10-24 11:09:36 +02:00
Johannes Gäßler
80273a306d CUDA: fix 1D im2col, add tests (ggml/993) 2024-10-23 16:50:02 +03:00
Daniel Bevenius
c19af0acb1 ggml : remove redundant set of contexts used field (ggml/978)
This commit removes the setting of the `used` field of the contexts in
the global state (g_state) in `ggml_init`.

The motivation for this change is that I believe that this additional
initialization might not be required after the changes in Commit
45fc4fed0b9fb5b1af4a8525cbebb95e11208732 ("sync : latest changes from
whisper.cpp"), which changed the initialization of the contexts field
from `{ 0 }` to `{ { 0 } }`:

```console
             g_state = (struct ggml_state) {
-                /*.contexts =*/ { 0 },
+                /*.contexts =*/ { { 0 } },
             };
```
My understanding is that the `{0}` initialization might not have
zero-initialized all the nested fields in every array element because of
compiler differences, and might have been the reason for having the
explicit setting of the `used` fields to false.
2024-10-23 16:50:02 +03:00
Jun Hee Yoo
4c9388fb96
metal : add POOL2D and fix IM2COL (#9943)
* add pool_2d

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>

* fix im2col and add unittest for N>=1024

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>

* add tests for N % 1024 != 0

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>

* remove trailing whitespaces

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>

* apply suggestions

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>

* apply more optimization

- original IM2COL kernel + _ext with MIN()

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>

* apply review: change kernel name of pool_2d

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>

* apply review

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>

* fix more formatting and enhance readability

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>

---------

Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
2024-10-23 13:33:45 +03:00
leo-pony
6b8447352d
[CANN] Adapt to dynamically loadable backends mechanism (#9970)
* [CANN] Adapt to dynamically loadable backends mechanism

* Fix the Bug: inference running result is garbled in debug running model for LM models who's type is Q4_0 class

* Handle the review comments of this pull request
2024-10-22 16:16:01 +08:00
Georgi Gerganov
f594bc80ba
ggml : add asserts for type conversion in fattn kernels (#9971)
ggml-ci
2024-10-21 16:20:46 +03:00
Radoslav Gerganov
d5ebd79c76
rpc : pack only RPC structs (#9959)
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2024-10-21 13:35:40 +03:00
Neo Zhang Jianyu
1db8c84fc6
fix mul_mat_vec_q and *_vec_q error (#9939)
Co-authored-by: arthw <14088817+arthw@users.noreply.github.com>
2024-10-21 14:26:09 +08:00
Radoslav Gerganov
afd9909a64
rpc : backend refactoring (#9912)
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* rpc : refactor backend

Use structs for RPC request/response messages

* rpc : refactor server
2024-10-18 14:33:58 +03:00