Files
llama.cpp-mtp-turboquant/ggml/src/CMakeLists.txt
T
Zijun Yu 9789c4ecdc ggml : add OpenVINO backend (#15307)
* Update build doc

* Add cgraph tensor output name to OV op name

* Update openvino build instructions

* Add initial NPU support

* draft NPU support version 2: prefill + kvcache

* NPU support version 2: prefill + kvcache

* Change due to ggml cgraph changes, not correct yet

* Change due to ggml cgraph changes, llama-3.2 CPU work

* Add AMD64 to CMakeLists

* Change due to ggml cgraph changes, all device work

* Refactor: clean, fix warning

* Update clang-format

* Statful transformation for CPU GPU

* Add SwiGLU

* Fuse to SDPA

* Replace Concat with Broadcast in MulMat for GQA

* Pull out indices creation for kv cache update

* Refactor: remove past_token_len from extra_inputs

* Fix Phi3 SwiGLU and SoftMax

* Pull out sin cos from rope

* Reduce memory: free ov weights node after graph conversion

* Fix CPY due to cgraph change

* Added OpenVINO CI/CD. Updated docs

* Fix llama-cli

* Fix Phi3 ROPE; Add test-backend-ops

* Fix NPU

* Fix llama-bench; Clang-format

* Fix llama-perplexity

* temp. changes for mark decomp

* matmul in fp32

* mulmat input conversion fix

* mulmat type conversion update

* add mark decomp pass

* Revert changes in fuse_to_sdpa

* Update build.md

* Fix test-backend-ops

* Skip test-thread-safety; Run ctest only in ci/run.sh

* Use CiD for NPU

* Optimize tensor conversion, improve TTFT

* Support op SET_ROWS

* Fix NPU

* Remove CPY

* Fix test-backend-ops

* Minor updates for raising PR

* Perf: RMS fused to OV internal RMS op

* Fix after rebasing

- Layout of cache k and cache v are unified: [seq, n_head, head_size]
- Add CPY and FLASH_ATTN_EXT, flash attn is not used yet
- Skip test-backend-ops due to flash attn test crash
- Add mutex around graph conversion to avoid test-thread-safety fali in the future
- Update NPU config
- Update GPU config to disable SDPA opt to make phi-3 run

* Change openvino device_type to GPU; Enable flash_attn

* Update supports_buft and supports_op for quantized models

* Add quant weight conversion functions from genai gguf reader

* Quant models run with accuracy issue

* Fix accuracy: disable cpu_repack

* Fix CI; Disable test-backend-ops

* Fix Q4_1

* Fix test-backend-ops: Treat quantized tensors as weights

* Add NPU Q4_0 support

* NPU perf: eliminate zp

* Dequantize q4_1 q4_k q6_k for NPU

* Add custom quant type: q8_1_c, q4_0_128

* Set m_is_static=false as default in decoder

* Simpilfy translation of get_rows

* Fix after rebasing

* Improve debug util; Eliminate nop ReshapeReshape

* STYLE: make get_types_to_requant a function

* Support BF16 model

* Fix NPU compile

* WA for npu 1st token acc issue

* Apply EliminateZP only for npu

* Add GeGLU

* Fix Hunyuan

* Support iSWA

* Fix NPU accuracy

* Fix ROPE accuracy when freq_scale != 1

* Minor: not add attention_size_swa for non-swa model

* Minor refactor

* Add Q5_K to support phi-3-q4_k_m

* Requantize Q6_K (gs16) to gs32 on GPU

* Fix after rebasing

* Always apply Eliminate_ZP to fix GPU compile issue on some platforms

* kvcachefusion support

* env variable GGML_OPENVINO_DISABLE_SDPA_OPTIMIZATION added

* Fix for Phi3

* Fix llama-cli (need to run with --no-warmup)

* Fix add_sliced_mask; Revert mulmat, softmax; Remove input attention_size, iSWA model not working

* fix after rebasing

* Fix llama-3-8b and phi3-mini q4_0 NPU

* Update to OV-2025.3 and CMakeLists.txt

* Add OV CI cache

* Apply CISC review and update CI to OV2025.3

* Update CI to run OV dep install before build

* Update OV dockerfile to use OV2025.3 and update build docs

* Style: use switch in supports_ops

* Style: middle ptr and ref align, omit optional struct keyword

* NPU Unify PD (#14)

* Stateless. Fix llama-cli llama-server

* Simplify broadcast op in attention

* Replace get_output_tensor+memcpy with set_output_tensor

* NPU unify PD. Unify dynamic and static dims

* Clean placeholders in ggml-openvino.cpp

* NPU unify PD (handled internally)

* change graph to 4d, support multi sequences

* Fix llama-bench

* Fix NPU

* Update ggml-decoder.cpp

Hitting error while compiling on windows:

error C3861: 'unsetenv': identifier not found

Reason: unsetenv() is a POSIX function; it doesn’t exist on Windows. Visual Studio (MSVC) won’t recognize it.

Proposed fix: Use _putenv_s() (Windows equivalent)
This is supported by MSVC and achieves the same effect: it removes the environment variable from the process environment.

This keeps cross-platform compatibility.

* Update ggml-decoder.cpp

* Update ggml-decoder.cpp

* Update ggml-decoder.cpp

* Update ggml-decoder.cpp

* Update ggml-decoder.cpp

* Remove the second decoder for node. Moving the function into the model decoder

* Fix error for naive

* NPU prefill chunking

* NPU fix llama-bench

* fallback naive run with accuracy issue

* NPU support llma-perplexity -b 512 --no-warmup

* Refactor: split ov_graph_compute for dynamic and static

* remove unused API GgmlOvDecoder::get_output_stride(const std::string & name)

* minor update due to ov 2025.4

* remove unused API GgmlOvDecoder::get_output_names()

* remove unused API get_output_shape(const std::string & name)

* Modified API GgmlOvDecoder::get_output_type(const std::string & name)

* Removed API GgmlOvDecoder::get_output_op_params(const std::string & name)

* Removed API get_output_ggml_tensor(const std::string & name)

* Removed API m_outputs

* Removed m_output_names

* Removed API GgmlOvDecoder::get_input_names()

* Removed API GgmlOvDecoder::get_input_stride(const std::string& name)

* Removed API get_input_type

* Removed API get_input_type

* Removed API GgmlOvDecoder::get_input_shape(const std::string & name)

* Removed API GgmlOvDecoder::get_input_op_params(const std::string & name)

* Fix error for decoder cache

* Reuse cached decoder

* GPU remove Q6_K requantization

* NPU fix wrong model output shape

* NPU fix q4 perf regression

* Remove unused variable nodes

* Fix decoder can_reuse for llama-bench

* Update build.md for Windows

* backend buffer: allocate on host

* Use shared_buffer for GPU NPU; Refactor

* Add ov_backend_host_buffer; Use cached remote context

* Put kvcache on GPU

* Use ggml_aligned_malloc

* only use remote tensor for kvcache

* only use remote tensor for kvcache for GPU

* FIX: use remote tensor from singleton

* Update build.md to include OpenCL

* NPU always requant to q4_0_128

* Optimize symmetric quant weight extraction: use single zp

* Use Q8_0_C in token embd, lm_head, and for 5 and 6 bits quant

* Update build.md

* Support -ctk f32

* Initial stateful graph support

* Update ggml/src/ggml-openvino/ggml-decoder.cpp

Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com>

* code cleanup

* npu perf fix

* requant to f16 for Q6 embed on NPU

* Update ggml/src/ggml-openvino/ggml-decoder.cpp

* Update ggml/src/ggml-openvino/ggml-openvino-extra.cpp

* Create OPENVINO.md in llama.cpp backend docs

* Update OPENVINO.md

* Update OPENVINO.md

* Update OPENVINO.md

* Update build.md

* Update OPENVINO.md

* Update OPENVINO.md

* Update OPENVINO.md

* kq_mask naming fix

* Syntax correction for workflows build file

* Change ov backend buffer is_host to false

* Fix llama-bench -p -n where p<=256

* Fix --direct-io 0

* Don't put kvcache on GPU in stateful mode

* Remove hardcode names

* Fix stateful shapes

* Simplification for stateful and update output shape processing

* Remove hardcode names

* Avoid re-compilation in llama-bench

* Extract zp directly instead of bias

* Refactor weight tensor processing

* create_weight_node accept non-ov backend buffer

* remove changes in llama-graph.cpp

* stateful masking fix (#38)

Fix for stateful accuracy issues and cl_out_of_resources error in stateful GPU with larger context sizes.

* Fix test-backend-ops crash glu, get_rows, scale, rms_norm, add

* hardcoded name handling for rope_freqs.weight

* Suppress logging and add error handling to allow test-backend-ops to complete

* Fix MUL_MAT with broadcast; Add unsupported MUL_MAT FLASH_ATTN cases

* Use bias instead of zp in test-backend-ops

* Update OV in CI, Add OV CI Tests in GH Actions

* Temp fix for multithreading bug

* Update OV CI, fix review suggestions.

* fix editorconfig-checker, update docs

* Fix tabs to spaces for editorconfig-checker

* fix editorconfig-checker

* Update docs

* updated model link to be GGUF model links

* Remove GGML_CPU_REPACK=OFF

* Skip permuted ADD and MUL

* Removed static variables from utils.cpp

* Removed initializing non-existing variable

* Remove unused structs

* Fix test-backend-ops for OV GPU

* unify api calling

* Update utils.cpp

* When the dim is dynamic, throw an error, need to is stastic forst

* Add interface compute_model_outputs(), which get the model output through computing the node use count & status in the cgraph to avoid the flag using

* No need to return

* Fix test-backend-ops for OV GPU LNL

* Fix test-thread-safety

* use the shape from infer request of output tensor create to avoid issue

* fix dynamic output shape  issue

* fix issue for the unused node in tests

* Remove unused lock

* Add comment

* Update openvino docs

* update to OV release version 2026.0

* add ci ov-gpu self hosted runner

* fix editorconfig

* Fix perplexity

* Rewrite the model inputs finding mechanism  (#54)

* Rewrite the model inputs finding logistic

* Put stateful shape handle in get input shape

* Put the iteration logistic in func

* Added ggml-ci-intel-openvino-gpu and doc update

* .hpp files converted to .h

* fix ggml-ci-x64-intel-openvino-gpu

* Fix for stateful execution bug in llama-bench

* Minor updates after stateful llama-bench fix

* Update ggml/src/ggml-openvino/utils.cpp

Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com>

* Remove multiple get_shape calls

* Bring back mutex into compute

* Fix VIEW op, which slice the input node

* Added token_len_per_seq existence check before slicing masks and moved node retrieval inside guarded block to prevent missing-key access

* Temp. fix for test requant errors

* Update to OV ggml-ci to low-perf

* ci : temporary disable "test-llama-archs"

* ci : cache v4 -> v5, checkout v4 -> v6, fix runner tag

* docs : update url

* Fix OV link in docker and Update docs

---------

Co-authored-by: Ravi Panchumarthy <ravi.panchumarthy@intel.com>
Co-authored-by: Cavus Mustafa <mustafa.cavus@intel.com>
Co-authored-by: Arshath <arshath.ramzan@intel.com>
Co-authored-by: XuejunZhai <Xuejun.Zhai@intel.com>
Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com>
Co-authored-by: Xuejun Zhai <Xuejun.Zhai@intel>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2026-03-14 07:56:55 +02:00

494 lines
19 KiB
CMake

include(CheckCXXCompilerFlag)
include("../cmake/common.cmake")
add_compile_definitions(GGML_SCHED_MAX_COPIES=${GGML_SCHED_MAX_COPIES})
# enable libstdc++ assertions for debug builds
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
add_compile_definitions($<$<CONFIG:Debug>:_GLIBCXX_ASSERTIONS>)
endif()
if (NOT MSVC)
if (GGML_SANITIZE_THREAD)
add_compile_options(-fsanitize=thread)
link_libraries (-fsanitize=thread)
endif()
if (GGML_SANITIZE_ADDRESS)
add_compile_options(-fsanitize=address -fno-omit-frame-pointer)
link_libraries (-fsanitize=address)
endif()
if (GGML_SANITIZE_UNDEFINED)
add_compile_options(-fsanitize=undefined)
link_libraries (-fsanitize=undefined)
endif()
endif()
if (GGML_FATAL_WARNINGS)
if (CMAKE_CXX_COMPILER_ID MATCHES "GNU" OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
list(APPEND C_FLAGS -Werror)
list(APPEND CXX_FLAGS -Werror)
elseif (CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
add_compile_options(/WX)
endif()
endif()
if (GGML_ALL_WARNINGS)
if (NOT MSVC)
list(APPEND WARNING_FLAGS -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function)
list(APPEND C_FLAGS -Wshadow -Wstrict-prototypes -Wpointer-arith -Wmissing-prototypes
-Werror=implicit-int -Werror=implicit-function-declaration)
list(APPEND CXX_FLAGS -Wmissing-declarations -Wmissing-noreturn)
list(APPEND C_FLAGS ${WARNING_FLAGS})
list(APPEND CXX_FLAGS ${WARNING_FLAGS})
ggml_get_flags(${CMAKE_CXX_COMPILER_ID} ${CMAKE_CXX_COMPILER_VERSION})
add_compile_options("$<$<COMPILE_LANGUAGE:C>:${C_FLAGS};${GF_C_FLAGS}>"
"$<$<COMPILE_LANGUAGE:CXX>:${CXX_FLAGS};${GF_CXX_FLAGS}>")
else()
# todo : msvc
set(C_FLAGS "")
set(CXX_FLAGS "")
endif()
endif()
if (GGML_LTO)
include(CheckIPOSupported)
check_ipo_supported(RESULT result OUTPUT output)
if (result)
set(CMAKE_INTERPROCEDURAL_OPTIMIZATION TRUE)
else()
message(WARNING "IPO is not supported: ${output}")
endif()
endif()
if (GGML_CCACHE AND NOT CMAKE_C_COMPILER_LAUNCHER AND NOT CMAKE_CXX_COMPILER_LAUNCHER)
find_program(GGML_CCACHE_FOUND ccache)
find_program(GGML_SCCACHE_FOUND sccache)
if (GGML_CCACHE_FOUND OR GGML_SCCACHE_FOUND)
if(GGML_CCACHE_FOUND)
set(GGML_CCACHE_VARIANT ccache)
else()
set(GGML_CCACHE_VARIANT sccache)
endif()
# TODO: should not be set globally
if (GGML_SYCL AND GGML_CCACHE_FOUND AND WIN32)
set_property(GLOBAL PROPERTY RULE_LAUNCH_COMPILE "ccache compiler_type=icl")
else ()
set_property(GLOBAL PROPERTY RULE_LAUNCH_COMPILE "${GGML_CCACHE_VARIANT}")
endif ()
set(ENV{CCACHE_SLOPPINESS} time_macros)
message(STATUS "${GGML_CCACHE_VARIANT} found, compilation results will be cached. Disable with GGML_CCACHE=OFF.")
else()
message(STATUS "Warning: ccache not found - consider installing it for faster compilation or disable this warning with GGML_CCACHE=OFF")
endif ()
endif()
# this version of Apple ld64 is buggy
execute_process(
COMMAND ${CMAKE_C_COMPILER} ${CMAKE_EXE_LINKER_FLAGS} -Wl,-v
ERROR_VARIABLE output
OUTPUT_QUIET
)
if (output MATCHES "dyld-1015\.7")
add_compile_definitions(HAVE_BUGGY_APPLE_LINKER)
endif()
# architecture specific
# TODO: probably these flags need to be tweaked on some architectures
# feel free to update the Makefile for your architecture and send a pull request or issue
message(STATUS "CMAKE_SYSTEM_PROCESSOR: ${CMAKE_SYSTEM_PROCESSOR}")
if (MSVC)
string(TOLOWER "${CMAKE_GENERATOR_PLATFORM}" CMAKE_GENERATOR_PLATFORM_LWR)
message(STATUS "CMAKE_GENERATOR_PLATFORM: ${CMAKE_GENERATOR_PLATFORM}")
else ()
set(CMAKE_GENERATOR_PLATFORM_LWR "")
endif ()
ggml_get_system_arch()
message(STATUS "GGML_SYSTEM_ARCH: ${GGML_SYSTEM_ARCH}")
if (NOT MSVC)
if (GGML_STATIC)
if (UNIX AND NOT APPLE)
set(CMAKE_FIND_LIBRARY_SUFFIXES ".a;.so")
endif()
add_link_options(-static)
if (MINGW)
add_link_options(-static-libgcc -static-libstdc++)
endif()
endif()
if (GGML_GPROF)
add_compile_options(-pg)
endif()
endif()
#
# POSIX conformance
#
# clock_gettime came in POSIX.1b (1993)
# CLOCK_MONOTONIC came in POSIX.1-2001 / SUSv3 as optional
# posix_memalign came in POSIX.1-2001 / SUSv3
# M_PI is an XSI extension since POSIX.1-2001 / SUSv3, came in XPG1 (1985)
# Somehow in OpenBSD whenever POSIX conformance is specified
# some string functions rely on locale_t availability,
# which was introduced in POSIX.1-2008, forcing us to go higher
if (CMAKE_SYSTEM_NAME MATCHES "OpenBSD")
add_compile_definitions(_XOPEN_SOURCE=700)
elseif (CMAKE_SYSTEM_NAME MATCHES "AIX")
# Don't define _XOPEN_SOURCE. We need _ALL_SOURCE, which is the default,
# in order to define _SC_PHYS_PAGES.
else()
add_compile_definitions(_XOPEN_SOURCE=600)
endif()
# Data types, macros and functions related to controlling CPU affinity and
# some memory allocation are available on Linux through GNU extensions in libc
if (CMAKE_SYSTEM_NAME MATCHES "Linux" OR CMAKE_SYSTEM_NAME MATCHES "Android")
add_compile_definitions(_GNU_SOURCE)
endif()
# RLIMIT_MEMLOCK came in BSD, is not specified in POSIX.1,
# and on macOS its availability depends on enabling Darwin extensions
# similarly on DragonFly, enabling BSD extensions is necessary
if (
CMAKE_SYSTEM_NAME MATCHES "Darwin" OR
CMAKE_SYSTEM_NAME MATCHES "iOS" OR
CMAKE_SYSTEM_NAME MATCHES "tvOS" OR
CMAKE_SYSTEM_NAME MATCHES "DragonFly"
)
add_compile_definitions(_DARWIN_C_SOURCE)
endif()
# alloca is a non-standard interface that is not visible on BSDs when
# POSIX conformance is specified, but not all of them provide a clean way
# to enable it in such cases
if (CMAKE_SYSTEM_NAME MATCHES "FreeBSD")
add_compile_definitions(__BSD_VISIBLE)
endif()
if (CMAKE_SYSTEM_NAME MATCHES "NetBSD")
add_compile_definitions(_NETBSD_SOURCE)
endif()
if (CMAKE_SYSTEM_NAME MATCHES "OpenBSD")
add_compile_definitions(_BSD_SOURCE)
endif()
if (WIN32)
add_compile_definitions(_CRT_SECURE_NO_WARNINGS)
endif()
# ggml
if (GGML_BACKEND_DL AND NOT BUILD_SHARED_LIBS)
message(FATAL_ERROR "GGML_BACKEND_DL requires BUILD_SHARED_LIBS")
endif()
add_library(ggml-base
../include/ggml.h
../include/ggml-alloc.h
../include/ggml-backend.h
../include/ggml-cpp.h
../include/ggml-opt.h
../include/gguf.h
ggml.c
ggml.cpp
ggml-alloc.c
ggml-backend.cpp
ggml-opt.cpp
ggml-threading.cpp
ggml-threading.h
ggml-quants.c
ggml-quants.h
gguf.cpp)
set_target_properties(ggml-base PROPERTIES
VERSION ${GGML_VERSION}
SOVERSION ${GGML_VERSION_MAJOR}
)
target_include_directories(ggml-base PRIVATE .)
if (GGML_BACKEND_DL)
target_compile_definitions(ggml-base PUBLIC GGML_BACKEND_DL)
endif()
if (GGML_SCHED_NO_REALLOC)
target_compile_definitions(ggml-base PUBLIC GGML_SCHED_NO_REALLOC)
endif()
add_library(ggml
ggml-backend-dl.cpp
ggml-backend-reg.cpp)
add_library(ggml::ggml ALIAS ggml)
set_target_properties(ggml PROPERTIES
VERSION ${GGML_VERSION}
SOVERSION ${GGML_VERSION_MAJOR}
)
if (GGML_BACKEND_DIR)
if (NOT GGML_BACKEND_DL)
message(FATAL_ERROR "GGML_BACKEND_DIR requires GGML_BACKEND_DL")
endif()
target_compile_definitions(ggml PUBLIC GGML_BACKEND_DIR="${GGML_BACKEND_DIR}")
endif()
target_link_libraries(ggml PUBLIC ggml-base)
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
target_link_libraries(ggml PRIVATE dl)
endif()
function(ggml_add_backend_library backend)
if (GGML_BACKEND_DL)
add_library(${backend} MODULE ${ARGN})
# write the shared library to the output directory
set_target_properties(${backend} PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_RUNTIME_OUTPUT_DIRECTORY})
target_compile_definitions(${backend} PRIVATE GGML_BACKEND_DL)
add_dependencies(ggml ${backend})
if (GGML_BACKEND_DIR)
install(TARGETS ${backend} LIBRARY DESTINATION ${GGML_BACKEND_DIR})
else()
install(TARGETS ${backend} LIBRARY DESTINATION ${CMAKE_INSTALL_BINDIR})
endif()
else()
add_library(${backend} ${ARGN})
target_link_libraries(ggml PUBLIC ${backend})
install(TARGETS ${backend} LIBRARY)
endif()
target_link_libraries(${backend} PRIVATE ggml-base)
target_include_directories(${backend} PRIVATE ..)
if (${BUILD_SHARED_LIBS})
target_compile_definitions(${backend} PRIVATE GGML_BACKEND_BUILD)
target_compile_definitions(${backend} PUBLIC GGML_BACKEND_SHARED)
endif()
# Set versioning properties for all backend libraries
# Building a MODULE library with a version is not supported on macOS (https://gitlab.kitware.com/cmake/cmake/-/issues/20782)
if (NOT (APPLE AND GGML_BACKEND_DL))
set_target_properties(${backend} PROPERTIES
VERSION ${GGML_VERSION}
SOVERSION ${GGML_VERSION_MAJOR}
)
endif()
if(NOT GGML_AVAILABLE_BACKENDS)
set(GGML_AVAILABLE_BACKENDS "${backend}"
CACHE INTERNAL "List of backends for cmake package")
else()
list(FIND GGML_AVAILABLE_BACKENDS "${backend}" has_backend)
if(has_backend EQUAL -1)
set(GGML_AVAILABLE_BACKENDS "${GGML_AVAILABLE_BACKENDS};${backend}"
CACHE INTERNAL "List of backends for cmake package")
endif()
endif()
endfunction()
function(ggml_add_backend backend)
string(TOUPPER "GGML_${backend}" backend_id)
if (${backend_id})
string(TOLOWER "ggml-${backend}" backend_target)
add_subdirectory(${backend_target})
message(STATUS "Including ${backend} backend")
if (NOT GGML_BACKEND_DL)
string(TOUPPER "GGML_USE_${backend}" backend_use)
target_compile_definitions(ggml PUBLIC ${backend_use})
endif()
endif()
endfunction()
function(ggml_add_cpu_backend_variant tag_name)
set(GGML_CPU_TAG_NAME ${tag_name})
# other: OPENMP LLAMAFILE CPU_HBM
if (GGML_SYSTEM_ARCH STREQUAL "x86")
foreach (feat NATIVE
SSE42
AVX AVX2 BMI2 AVX_VNNI FMA F16C
AVX512 AVX512_VBMI AVX512_VNNI AVX512_BF16
AMX_TILE AMX_INT8 AMX_BF16)
set(GGML_${feat} OFF)
endforeach()
foreach (feat ${ARGN})
set(GGML_${feat} ON)
endforeach()
elseif (GGML_SYSTEM_ARCH STREQUAL "ARM")
foreach (feat ${ARGN})
set(GGML_INTERNAL_${feat} ON)
endforeach()
elseif (GGML_SYSTEM_ARCH STREQUAL "PowerPC")
foreach (feat ${ARGN})
set(GGML_INTERNAL_${feat} ON)
endforeach()
elseif (GGML_SYSTEM_ARCH STREQUAL "s390x")
foreach (feat VXE2 NNPA)
set(GGML_INTERNAL_${feat} OFF)
endforeach()
foreach (feat ${ARGN})
set(GGML_INTERNAL_${feat} ON)
endforeach()
elseif (GGML_SYSTEM_ARCH STREQUAL "riscv64")
foreach (feat RVV)
set(GGML_INTERNAL_${feat} OFF)
endforeach()
foreach (feat ${ARGN})
set(GGML_INTERNAL_${feat} ON)
endforeach()
endif()
ggml_add_cpu_backend_variant_impl(${tag_name})
endfunction()
ggml_add_backend(CPU)
if (GGML_CPU_ALL_VARIANTS)
if (NOT GGML_BACKEND_DL)
message(FATAL_ERROR "GGML_CPU_ALL_VARIANTS requires GGML_BACKEND_DL")
elseif (GGML_CPU_ARM_ARCH)
message(FATAL_ERROR "Cannot use both GGML_CPU_ARM_ARCH and GGML_CPU_ALL_VARIANTS")
endif()
if (GGML_SYSTEM_ARCH STREQUAL "x86")
ggml_add_cpu_backend_variant(x64)
ggml_add_cpu_backend_variant(sse42 SSE42)
ggml_add_cpu_backend_variant(sandybridge SSE42 AVX)
if (NOT MSVC)
# __FMA__ and __F16C__ are not defined in MSVC, however they are implied with AVX2/AVX512
ggml_add_cpu_backend_variant(ivybridge SSE42 AVX F16C)
ggml_add_cpu_backend_variant(piledriver SSE42 AVX F16C FMA)
endif()
ggml_add_cpu_backend_variant(haswell SSE42 AVX F16C FMA AVX2 BMI2)
ggml_add_cpu_backend_variant(skylakex SSE42 AVX F16C FMA AVX2 BMI2 AVX512)
ggml_add_cpu_backend_variant(cannonlake SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VBMI)
ggml_add_cpu_backend_variant(cascadelake SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VNNI)
ggml_add_cpu_backend_variant(icelake SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VBMI AVX512_VNNI)
if (NOT MSVC)
# MSVC 2022 doesn't support BF16 intrinsics without `/arch:AVX10.1` ?!
# https://learn.microsoft.com/en-us/cpp/intrinsics/x64-amd64-intrinsics-list?view=msvc-170
# https://learn.microsoft.com/en-us/cpp/build/reference/arch-x64?view=msvc-170
ggml_add_cpu_backend_variant(cooperlake SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VNNI AVX512_BF16)
ggml_add_cpu_backend_variant(zen4 SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VBMI AVX512_VNNI AVX512_BF16)
endif()
ggml_add_cpu_backend_variant(alderlake SSE42 AVX F16C FMA AVX2 BMI2 AVX_VNNI)
if (NOT MSVC)
# MSVC doesn't support AMX
ggml_add_cpu_backend_variant(sapphirerapids SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VBMI AVX512_VNNI AVX512_BF16 AMX_TILE AMX_INT8)
endif()
elseif(GGML_SYSTEM_ARCH STREQUAL "ARM")
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
# Many of these features are optional so we build versions with popular
# combinations and name the backends based on the version they were
# first released with
ggml_add_cpu_backend_variant(armv8.0_1)
ggml_add_cpu_backend_variant(armv8.2_1 DOTPROD)
ggml_add_cpu_backend_variant(armv8.2_2 DOTPROD FP16_VECTOR_ARITHMETIC)
ggml_add_cpu_backend_variant(armv8.2_3 DOTPROD FP16_VECTOR_ARITHMETIC SVE)
ggml_add_cpu_backend_variant(armv8.6_1 DOTPROD FP16_VECTOR_ARITHMETIC SVE MATMUL_INT8)
ggml_add_cpu_backend_variant(armv8.6_2 DOTPROD FP16_VECTOR_ARITHMETIC SVE MATMUL_INT8 SVE2)
ggml_add_cpu_backend_variant(armv9.2_1 DOTPROD FP16_VECTOR_ARITHMETIC SVE MATMUL_INT8 SME)
ggml_add_cpu_backend_variant(armv9.2_2 DOTPROD FP16_VECTOR_ARITHMETIC SVE MATMUL_INT8 SVE2 SME)
elseif (CMAKE_SYSTEM_NAME MATCHES "Android")
# Android-specific backends with SoC-compatible feature sets
ggml_add_cpu_backend_variant(android_armv8.0_1)
ggml_add_cpu_backend_variant(android_armv8.2_1 DOTPROD)
ggml_add_cpu_backend_variant(android_armv8.2_2 DOTPROD FP16_VECTOR_ARITHMETIC)
ggml_add_cpu_backend_variant(android_armv8.6_1 DOTPROD FP16_VECTOR_ARITHMETIC MATMUL_INT8)
ggml_add_cpu_backend_variant(android_armv9.0_1 DOTPROD MATMUL_INT8 FP16_VECTOR_ARITHMETIC SVE2)
ggml_add_cpu_backend_variant(android_armv9.2_1 DOTPROD MATMUL_INT8 FP16_VECTOR_ARITHMETIC SVE SME)
ggml_add_cpu_backend_variant(android_armv9.2_2 DOTPROD MATMUL_INT8 FP16_VECTOR_ARITHMETIC SVE SVE2 SME)
elseif (APPLE)
ggml_add_cpu_backend_variant(apple_m1 DOTPROD)
ggml_add_cpu_backend_variant(apple_m2_m3 DOTPROD MATMUL_INT8)
ggml_add_cpu_backend_variant(apple_m4 DOTPROD MATMUL_INT8 NOSVE SME)
else()
message(FATAL_ERROR "Unsupported ARM target OS: ${CMAKE_SYSTEM_NAME}")
endif()
elseif (GGML_SYSTEM_ARCH STREQUAL "PowerPC")
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
ggml_add_cpu_backend_variant(power0)
ggml_add_cpu_backend_variant(power7_1 POWER7)
ggml_add_cpu_backend_variant(power7_2 POWER7 VSX)
ggml_add_cpu_backend_variant(power8_1 POWER8)
ggml_add_cpu_backend_variant(power8_2 POWER8 VSX)
ggml_add_cpu_backend_variant(power9 POWER9 VSX)
ggml_add_cpu_backend_variant(power10 POWER10 VSX)
ggml_add_cpu_backend_variant(power11 POWER11 VSX)
else()
message(FATAL_ERROR "Unsupported PowerPC target OS: ${CMAKE_SYSTEM_NAME}")
endif()
elseif (GGML_SYSTEM_ARCH STREQUAL "s390x")
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
ggml_add_cpu_backend_variant(z15 Z15 VXE2)
ggml_add_cpu_backend_variant(z16 Z16 VXE2 NNPA)
else()
message(FATAL_ERROR "Unsupported s390x target OS: ${CMAKE_SYSTEM_NAME}")
endif()
elseif (GGML_SYSTEM_ARCH STREQUAL "riscv64")
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
ggml_add_cpu_backend_variant(riscv64_0)
ggml_add_cpu_backend_variant(riscv64_v RVV)
else()
message(FATAL_ERROR "Unsupported RISC-V target OS: ${CMAKE_SYSTEM_NAME}")
endif()
else()
message(FATAL_ERROR "GGML_CPU_ALL_VARIANTS not yet supported with ${GGML_SYSTEM_ARCH} on ${CMAKE_SYSTEM_NAME}")
endif()
elseif (GGML_CPU)
ggml_add_cpu_backend_variant_impl("")
endif()
ggml_add_backend(BLAS)
ggml_add_backend(CANN)
ggml_add_backend(CUDA)
ggml_add_backend(HIP)
ggml_add_backend(METAL)
ggml_add_backend(MUSA)
ggml_add_backend(RPC)
ggml_add_backend(VirtGPU)
ggml_add_backend(SYCL)
ggml_add_backend(Vulkan)
ggml_add_backend(WebGPU)
ggml_add_backend(zDNN)
ggml_add_backend(OpenCL)
ggml_add_backend(Hexagon)
ggml_add_backend(ZenDNN)
ggml_add_backend(OPENVINO)
foreach (target ggml-base ggml)
target_include_directories(${target} PUBLIC $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/../include> $<INSTALL_INTERFACE:include>)
target_compile_features (${target} PRIVATE c_std_11 cxx_std_17) # don't bump
endforeach()
target_link_libraries(ggml-base PRIVATE Threads::Threads)
find_library(MATH_LIBRARY m)
if (MATH_LIBRARY)
if (NOT WIN32 OR NOT DEFINED ENV{ONEAPI_ROOT})
target_link_libraries(ggml-base PRIVATE m)
endif()
endif()
if (CMAKE_SYSTEM_NAME MATCHES "Android")
target_link_libraries(ggml-base PRIVATE dl)
endif()
if(CMAKE_SYSTEM_NAME MATCHES "visionOS")
target_compile_definitions(ggml-base PUBLIC _DARWIN_C_SOURCE)
endif()
if (BUILD_SHARED_LIBS)
foreach (target ggml-base ggml)
set_target_properties(${target} PROPERTIES POSITION_INDEPENDENT_CODE ON)
target_compile_definitions(${target} PRIVATE GGML_BUILD)
target_compile_definitions(${target} PUBLIC GGML_SHARED)
endforeach()
endif()