Commit Graph

123 Commits

Author SHA1 Message Date
nullname beff5c4b78
feat: op perf opt (#38)
* add op define xml

* copy qnn libs in cmake

* fix htp skel path

* add windows copy file list

* wip

* add generated package

* remove unused params

* add cmake list

* set qnn sdk and hexagon sdk path

* wip

* wip

* fix tools version

* fix compiling error

* fix dims calc

* wip

* add mulmat 2d

* wip

* reduction

* wip

* wip

* fix compiling error in x64

* wip

* fix device description in emulator

* wip

* add flag

* copy necessary libs

* wip

* load HtpPrepare first for emulator

* enable custom op for 2d matrix

* verify op config before add to node

* Revert "verify op config before add to node"

This reverts commit 206dec826e560625e053c4c78e023994f993526e.

* wip

* wip

* wip

* revert tool version change

* use hexagon sdk version 5.5.0

https://docs.qualcomm.com/bundle/publicresource/topics/80-77512-2/release-notes-wrapper.html?product=1601111740010422#5.5.0

* wip

* move to sub dir

* add hexagon npu device and server lib

* fix npu lib build

* refactoring: rename QNNBackend enum

* fix compiling error

* wip

* remove qnn/backend.hpp

* add hexagon dsp host layer

* extract rpc_mem from qnn submodule

* fix dsp compiling error

* wip

* wip

* open and lose npu device

* split objects into separated files

* fix linking error

* add npu_tensor

* add host graph

* map rpc buffer before usage

* fix some todos

* add shared module

* split rpc_interface from rpc_mem

* get get_dsp_arch from device

* wip

* rename host classes

* fix hexagon sdk arch getter

* fix device open

* fix linking error

* fix crash

* use tensor_data_type

* fix npu lib crash

* fix debug log print

* skip empty graph

* wip

* add log

* fix unmap fail

* fix tensor set

* remove some logs

* flush back memory after finished

* fix nb

* wip

* wip

* add helper function

* impl add op

* fix some add in test-backend-ops

* add elt wise sub and mul

* fix crash on some inplace op

* wip

* fix elt wise op calc

* wip

* split mul_mat into file

* add caps array

* wip

* wip

* print support/unsupport op

* copy lldb-server for newer android sdk

* add tensor_spec

* add assert

* fix crash when loading model

* rename cmake option

* fix name

* fix device memory and description

* fix compiling error on qnn only build

* fix some potential UBs

* fix comments
2025-04-21 12:06:16 +08:00
hongruichen a004951bb9 Merge branch 'master' into dev-refactoring 2025-04-16 00:39:25 +08:00
Diego Devesa fe92821ea9 ggml : add bilinear upscale support (ggml/1185) 2025-04-11 00:17:47 +03:00
Diego Devesa 459895c326 ggml : add more generic custom op, remove deprecated custom ops (ggml/1183)
* ggml : add more generic ggml_custom op

* ggml : remove deprecated custom ops
2025-04-11 00:17:47 +03:00
hongruichen e4fcdd418f Merge branch 'master' into dev-refactoring 2025-04-03 23:57:00 +08:00
Georgi Gerganov b4ae50810e
metal : improve FA + improve MoE (#12612)
* ggml : FA with different K, V head sizes (CPU)

ggml-ci

* metal : add FA with HS=192

* metal : extend FA to support different K and V head sizes

ggml-ci

* metal : add FA vector kernels for heads K 192 and V 128

ggml-ci

* ggml : restrict op on other backends to equal head sizes

ggml-ci

* metal : optimize FA-vec kernel

ggml-ci

* metal : FA remove mq registers

* metal : improve MoE mul_mat_id condition

ggml-ci

* metal : fix comments + remove unnecessary addition

ggml-ci

* metal : avoid too much shared memory usage with mul_mat_id

ggml-ci
2025-03-28 20:21:59 +02:00
Radoslav Gerganov ab6ab8f809
rpc : send hash when tensor data is above some fixed threshold (#12496)
* rpc : send hash when tensor data is above some fixed threshold

ref #10095

* rpc : put cache under $HOME/.cache/llama.cpp

* try to fix win32 build

* another try to fix win32 build

* remove llama as dependency
2025-03-28 08:18:04 +02:00
hongruichen c2887f0377 Merge branch 'master' into dev-refactoring 2025-03-22 12:36:55 +08:00
nullname a1ab67478f
[feat] add more op (#35)
* move op key generate function to kOpCaps

* fix op desc print

* try fix rms_norm

* Revert "try fix rms_norm"

This reverts commit 33b296098012909cb482fc29b52b28098dc971cd.

* add quantization type support by converting them to float

* enable quantization tensor for mulmat in gpu/npu

* fix asan error

* add log and assert

* insert output convert operator after mulmat

* add log

* fix some error in running

* disable permute again

* add log

* add error function

* Revert "add error function"

This reverts commit f92ff47798ac8053fb776c55efbb1a98469c7af1.

* add log

* more log

* disable convert op in graph

* wip

* add f16 config for graph

* set f16 precision for f16 graph

* fix override data type

* add comment

* add config flag to enable quantize type

* add log

* more quantized type for cpu and gpu backend

* enable all quant types for cpu and gpu backend

* rename

* wip

* add log

* remove unused functions

* skip permute

* remove get_qnn_op_input_param_count

* fallback to generic_get_op_desc if no op_desc

* revert 'skip permute'

* Revert "revert 'skip permute'"

This reverts commit 5761e31fd23c69c4cabf6fd9fac1a0d3e5a74968.

* wip

* add log

* print qnn tensor type

* add log

* limit the max size of tensor

* add log

* fix tensor size limiter

* small improve on tensor info printer

* disable sqrt and div to pass test-backend-ops for 8 gen 2

* remove debug log in release build

* add log

* skip permute in src

* wip

* disable reshape

* skip mul at decoder start

* wip

* add log

* add qnn_scoped_timer

* add perf tracker in graph

* add cmake options GGML_QNN_ENABLE_PERFORMANCE_TRACKING

* fix flag name

* use milli-second

* wip

* fix comment string

* add file for profiler

* change qnn-cpu to GGML_BACKEND_DEVICE_TYPE_ACCEL, so that we can run tests on cpu

* wip

* profiler: refactoring

* wip

* add implement for print_profile_events

* set-up profiler for graph

* set profiler to graph execute

* pretty print events

* unified log print prefix

* print event count

* enable optrace

* print duration at event end

* wip

* add more detailed soc information

* wip

* move device caps array into qnn-lib.cpp

* remove lib_name in device_context

* move get_graph_key_from_cgraph to graph.cpp

* add override type for tensor key

* use override_type instead of original data type for graph key

* append op type to tensor name to fix error in qwen

* remove todo

* wip
2025-03-22 12:34:31 +08:00
Molly Sophia 7dfad387e3
llama: Add support for RWKV v7 architecture (#12412)
* ggml: Add op l2_norm

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

* ggml: Add op rwkv_wkv7

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

* llama: Add support for RWKV7 and ARWKV7 models

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

* llama: fix inference with RWKV6Qwen2

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

* llama: add more (a)rwkv7 variants in size

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

* Apply code-format changes

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

* fix MUSA build

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

* llama: fix shape error with rwkv using llama-parallel

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

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2025-03-18 07:27:50 +08:00
hongruichen 525cd2d641 Merge branch 'master' into dev-refactoring 2025-03-14 10:04:11 +08:00
Rémy O 07d1572347
ggml-cpu: Faster IQ1 mul_mat_vec on AVX2 using BMI2 instructions (#12154)
* ggml-cpu: Faster IQ1 mul_mat_vec on AVX2 using BMI2 instructions

* cmake: Add GGML_BMI2 build option

* ggml: enable BMI2 on relevant CPU variants

* ggml-cpu: include BMI2 in backend score

* ggml-cpu: register BMI2 in ggml_backend_cpu_get_features

* ggml-cpu: add __BMI2__ define when using MSVC
2025-03-06 02:26:10 +01:00
hongruichen 27cec63802 Merge branch 'master' into dev-refactoring 2025-03-05 22:22:21 +08:00
mgroeber9110 5bbe6a9fe9
ggml : portability fixes for VS 2017 (#12150)
* Add include files for std::min/max and std::toupper/tolower

* win32: move _USE_MATH_DEFINES before includes to ensure M_PI is defined

* Use GGML_RESTRICT instead of "restrict" keyword everywhere, and use "__restrict" in MSVC plain C mode

* win32: only use __restrict in MSVC if C11/C17 support is not enabled

---------

Co-authored-by: Marcus Groeber <Marcus.Groeber@cerence.com>
2025-03-04 18:53:26 +02:00
William Tambellini 70680c48e5
ggml : upgrade init_tensor API to return a ggml_status (#11854)
* Upgrade init_tensor API to return a ggml_status

To prepare for an 'abort-free' ggml
(ggml not to abort on OOMs but return a OOM status),
as agreeed with Diego in the ggml repo,
upgrade the init_tensor() and view_init() APIs
to return a ggml_status.

* misc fixes

---------

Co-authored-by: slaren <slarengh@gmail.com>
2025-02-28 14:41:47 +01:00
hongruichen 84328ffbda Merge branch 'master' into dev-refactoring 2025-02-24 14:39:12 +08:00
Aaron Teo af7747c95a
ggml-cpu: Support s390x SIMD Instruction Set (#12019)
* ggml: add s390x ARCH_FLAGS for compilation

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add SIMD for s390x using vector intrinsics

SIMD is activated for:
* ggml_vec_dot_f32
* ggml_vec_dot_f16
* ggml_vec_mad_f32
* ggml_vec_mad_f16
* ggml_vec_mad_f32_unroll
* ggml_vec_scale_f32
* ggml_vec_scale_f16

SIMD is NOT activated for:
* ggml_vec_dot_f16_unroll (pending bugfix)

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix missing escape character in GGML_F32x4_REDUCE

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add temporary patch for GGML_F32_ARR and GGML_F16_ARR

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix s390x GGML_F32x4_REDUCE

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: full SIMD activation for F32,F16 s390x

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add option to disable s390x VXE/VXE2

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: change vecintrin.h include to ggml-cpu-impl

* add __VXE__ and __VXE2__ macros

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* cmake: add s390x target detection for VX/VXE/VXE2

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: move s390x vector intrinsics to ggml-cpu-impl.h

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x Q8_0 SIMD

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: correct documentation for Q8_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x reduce code complexity Q8_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x bugfix typo Q8_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activated for Q4_1

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x inline vec_reve

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for Q4_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add VXE backend feature

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: remove test.py

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for quantize_row_q8_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for quantize_row_q8_1

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for iq4_xs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: bugfix iq4_xs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for iq4_nl

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add float, double, and long vector data type

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: clean up iq4_xs SIMD

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix improper use of restrict keyword

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: update warning message for ggml_vec_tbl

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: untested implementation of ggml_vec_dot_iq2_xxs_q8_K

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: update ggml_vec_dot_q4_1_q8_1 to use typedefs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: switch to restrict for iq4_nl

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: slight dot product speed improvement for q4_1_q8_1

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for q6_K

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add missing `_t` to ggml_int8x16x4_t

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix missing `_t` for ggml_vec_xl_s8x4

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix more missing `_t`

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add unroll and prefetch to Q8_0

increase of 3.86% for prompt processing and 32.22% for token generation

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: patch Q8_0 to use proper vector sizes

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: optimise Q8_0 dot prod compute kernel further

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add unroll and prefetch to Q4_1

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: refactor Q6_K variable naming for readability

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix Q6_K typos

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for Q5_K

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix wrong char*x16_t naming

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: Q5_K y0 wrong signness

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix Q5_K invalid uchar type

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix Q5_K invalid uchar type

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for Q4_K

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix Q4_K invalid vector intrinsics

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: simplify ggml_padd_s16 compute kernel

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: correct ggml-cpu vxe wording

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: change ggml_aligned_malloc alignment to 256

256 is the cache line size for s390x platforms

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: resolve pr merge via cherry-pick 225bbbf

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml : fix LoongArch compile error with 128-bit SIMD (#11701)

* ggml: resolve pr merge via cherry-pick 4571953

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: cmake remove fork when determining s390x machine type

thank you @ericcurtin

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

---------

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
Co-authored-by: Jinyang He <hejinyang@loongson.cn>
Co-authored-by: junchao-zhao <68935141+junchao-loongson@users.noreply.github.com>
2025-02-22 21:39:24 +00:00
Charles Xu c5d91a7400
ggml-cpu: Add CPU backend support for KleidiAI library (#11390)
* ggml-cpu: Add CPU backend support for KleidiAI library

* Add environmental variable GGML_KLEIDIAI_SME

* Add support for multithread LHS conversion

* Switch kernel selection order to dotprod and i8mm

* updates for review comments

* More updates for review comments

* Reorganize and rename KleidiAI files

* Move ggml-cpu-traits.h to source file

* Update cmake for SME build and add alignment for SME

* Remove append GGML_USE_CPU_KLEIDIAI to the GGML_CDEF_PUBLIC list
2025-02-20 15:06:51 +02:00
Georgi Gerganov 68ff663a04
repo : update links to new url (#11886)
* repo : update links to new url

ggml-ci

* cont : more urls

ggml-ci
2025-02-15 16:40:57 +02:00
hongruichen ba324b0252 Merge branch 'master' into dev-refactoring 2025-02-12 23:51:03 +08:00
bandoti fef0cbeadf
cleanup: fix compile warnings associated with gnu_printf (#11811) 2025-02-12 10:06:53 -04:00
Danny Milosavljevic c2a67efe38
vulkan: Make Vulkan optional at runtime (#11493). (#11494)
Co-authored-by: Jeff Bolz <jbolz@nvidia.com>
2025-02-10 07:17:21 +01:00
Johannes Gäßler 864a0b67a6
CUDA: use mma PTX instructions for FlashAttention (#11583)
* CUDA: use mma PTX instructions for FlashAttention

* __shfl_sync workaround for movmatrix

* add __shfl_sync to HIP

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-02-02 19:31:09 +01:00
Hongrui Chen 3ed9f5b5df Merge branch 'master' into dev-refactoring 2025-01-18 22:37:56 +08:00
Radoslav Gerganov 667d72846c
rpc : early register backend devices (#11262)
Early register RPC devices and do not propagate RPC specifics in the
llama model structures.

ref: #10609
2025-01-17 10:57:09 +02:00
Johannes Gäßler 9c8dcefe17
CUDA: backwards pass for misc. ops, add tests (#11257)
* CUDA: backwards pass for misc. ops, add tests

* remove restrict from pointers
2025-01-16 16:43:38 +01:00
Johannes Gäßler 432df2d5f9
RoPE: fix back, CUDA support for back + noncont. (#11240)
* RoPE: fix back, CUDA support for back + noncont.

* fix comments reg. non-cont. RoPE support [no-ci]
2025-01-15 12:51:37 +01:00
hongruichen c410717015 Merge branch 'master' into dev-refactoring
# Conflicts:
#	ggml/CMakeLists.txt
#	src/llama.cpp
2025-01-10 11:20:00 +08:00
Molly Sophia ee7136c6d1
llama: add support for QRWKV6 model architecture (#11001)
llama: add support for QRWKV6 model architecture (#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>
2025-01-10 09:58:08 +08:00
Johannes Gäßler 53ff6b9b9f
GGUF: C++ refactor, backend support, misc fixes (#11030)
* GGUF: C++ refactor, backend support, misc fixes

remove ggml_tensor.backend

update CODEOWNERS [no ci]

remove gguf_get_data from API

revise GGUF API data types
2025-01-07 18:01:58 +01:00
Hongrui Chen 8f07b3e3f6 Merge branch 'master' into dev-refactoring
# Conflicts:
#	ggml/src/ggml-backend-reg.cpp
2024-12-26 19:00:11 +08:00
Georgi Gerganov 0bf2d10c55
tts : add OuteTTS support (#10784)
* server : add "tokens" output

ggml-ci

* server : output embeddings for all tokens when pooling = none

ggml-ci

* server : be explicit about the pooling type in the tests

ggml-ci

* server : do not normalize embeddings when there is no pooling

ggml-ci

* llama : add OuteTTS support (wip)

* wip

* extract features

* first conv

* group norm

* resnet conv

* resnet

* attn

* pos net

* layer norm

* convnext

* head

* hann window

* fix n_embd + remove llama.cpp hacks

* compute hann window

* fft

* spectrum processing

* clean-up

* tts : receive input text and generate codes

* clip : fix new conv name

* tts : minor fix

* tts : add header + minor fixes

ggml-ci

* tts : add matchematical constant

ggml-ci

* tts : fix sampling + cut initial noise

* tts : fixes

* tts : update default samplers

ggml-ci

* tts : text pre-processing

* tts : outetts-voc -> wavtokenizer-dec

* tts : remove hardcoded constants

ggml-ci

* tts : fix tensor shapes

* llama : refactor wavtokenizer tensors

ggml-ci

* cont

ggml-ci

* cont [no ci]

* llama : update WavTokenizer to non-causal attn

* llama : handle no-vocab detokenization

* tts : add Python example for OuteTTS (wip)

* tts : extend python example to generate spectrogram

ggml-ci

* server : fix rebase artifacts

* tts : enable "return_tokens" in Python example

ggml-ci

* tts : minor fixes

* common : support HF download for vocoder
2024-12-18 19:27:21 +02:00
HimariO ba1cb19cdd
llama : add Qwen2VL support + multimodal RoPE (#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>
2024-12-14 14:43:46 +02:00
hongruichen 6d3267aad1 Merge branch 'master' into dev-refactoring
# Conflicts:
#	ggml/CMakeLists.txt
#	ggml/src/CMakeLists.txt
2024-12-14 15:38:16 +08:00
lhez a76c56fa1a
Introducing experimental OpenCL backend with support for Qualcomm Adreno GPUs (#10693)
* [cl][adreno] Add Adreno GPU support

Add new OpenCL backend to support Adreno GPUs

---------

Co-authored-by: Skyler Szot <quic_sszot@quicinc.com>
Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com>
Co-authored-by: Alexander Angus <quic_aangus@quicinc.com>
Co-authored-by: Hongqiang Wang <quic_wangh@quicinc.com>
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>

* [cl][ci] Add workflow for CL

* [cl][adreno] Fix memory leak for non SMALL_ALLOC path

* opencl: integrate backend dyn.load interface and fix compiler and format warnings

* opencl: remove small-alloc support and fix build errors for non-opencl platforms

* opencl: fixed merge conflict (MUSA added twice in cmake)

* opencl-ci: use RUNNER_TEMP instead of github.workspace

* opencl: fix embed tool invocation with python3

* opencl: CI workflow fixes

* opencl: Clean up small-alloc in CMake files

* opencl: cleanup ggml-opencl2 header file

* opencl: use ulong for offsets and strides in ADD kernel

* opencl: use cl_ulong for all offsets

* opencl: use cl_ulong for sizes and strides

* opencl: use `GGML_LOG_xxx` instead of `fprintf(stderr, ...)`

* opencl: rename backend `opencl2` -> `opencl`

* opencl: rename kernel files `ggml-opencl2` -> `ggml-opencl`

* opencl: make OpenCL required, remove redundant lib and inc directories

* `ggml-base`, `..` and `.` are added by `ggml_add_backend_library`

* opencl: rename backend - funcs, structs, etc `opencl2` -> `opencl`

* opencl: remove copyright marker since main license already covers

* opencl: replace some more OPENCL2 leftovers

* opencl: remove limits on `tensor_extra`

* opencl: use pools for `tensor_extra`

* opencl: fix compiler warnings with GCC and Clang

Still getting the warning about clCreateCmdQueue being obsolete.
Will fix that separately.

* opencl: fail gracefully if opencl devices are not available

Also for unsupported GPUs.

* opencl: fix MSVC builds (string length error)

* opencl: check for various requirements, allow deprecated API

* opencl: update log message for unsupported GPUs

---------

Co-authored-by: Skyler Szot <quic_sszot@quicinc.com>
Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com>
Co-authored-by: Alexander Angus <quic_aangus@quicinc.com>
Co-authored-by: Hongqiang Wang <quic_wangh@quicinc.com>
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
2024-12-13 12:23:52 -08:00
Gilad S. 43041d2eb3
ggml: load all backends from a user-provided search path (#10699)
* feat: load all backends from a user-provided search path

* fix: Windows search path

* refactor: rename `ggml_backend_load_all_in_search_path` to `ggml_backend_load_all_from_path`

* refactor: rename `search_path` to `dir_path`

* fix: change `NULL` to `nullptr`

Co-authored-by: Diego Devesa <slarengh@gmail.com>

* fix: change `NULL` to `nullptr`

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-12-11 01:47:21 +01:00
Djip007 19d8762ab6
ggml : refactor online repacking (#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>
2024-12-07 14:37:50 +02:00
PAB c2082d93a8
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
2024-12-05 13:27:31 +02:00
hongruichen cf91253c41 Merge branch 'master' into dev-refactoring
# Conflicts:
#	ggml/src/ggml-backend-reg.cpp
2024-12-03 10:51:15 +08:00
Diego Devesa 7cc2d2c889
ggml : move AMX to the CPU backend (#10570)
* ggml : move AMX to the CPU backend

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-11-29 21:54:58 +01:00
hongruichen 67b183ceb1 Merge branch 'master' into dev-refactoring
# Conflicts:
#	ggml/CMakeLists.txt
#	ggml/src/CMakeLists.txt
#	ggml/src/ggml-backend.cpp
2024-11-29 16:31:41 +08:00
Shupei Fan c202cef168
ggml-cpu: support IQ4_NL_4_4 by runtime repack (#10541)
* ggml-cpu: support IQ4_NL_4_4 by runtime repack

* ggml-cpu: add __ARM_FEATURE_DOTPROD guard
2024-11-28 13:52:03 +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
Johannes Gäßler 8a43e940ab ggml: new optimization interface (ggml/988) 2024-11-17 08:30:29 +02:00
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)
* 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
hongruichen 9f62fc9587 Merge branch 'master' into dev-refactoring 2024-11-13 17:10:20 +08:00
nullname e6dbdacc32
feat: fix llama-bench (#7)
* remove unused functions

* wip

* init from last devices

* move init into constructor

* wip

* add static assert to device table

* make kDeviceCaps as constexpr

* get free memory and total memory

* add optimize flag for qnn backend
2024-11-13 17:06:46 +08:00
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
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