build: Make target improvements (#7499)

* llama: wire up builtin runner

This adds a new entrypoint into the ollama CLI to run the cgo built runner.
On Mac arm64, this will have GPU support, but on all other platforms it will
be the lowest common denominator CPU build.  After we fully transition
to the new Go runners more tech-debt can be removed and we can stop building
the "default" runner via make and rely on the builtin always.

* build: Make target improvements

Add a few new targets and help for building locally.
This also adjusts the runner lookup to favor local builds, then
runners relative to the executable, and finally payloads.

* Support customized CPU flags for runners

This implements a simplified custom CPU flags pattern for the runners.
When built without overrides, the runner name contains the vector flag
we check for (AVX) to ensure we don't try to run on unsupported systems
and crash.  If the user builds a customized set, we omit the naming
scheme and don't check for compatibility.  This avoids checking
requirements at runtime, so that logic has been removed as well.  This
can be used to build GPU runners with no vector flags, or CPU/GPU
runners with additional flags (e.g. AVX512) enabled.

* Use relative paths

If the user checks out the repo in a path that contains spaces, make gets
really confused so use relative paths for everything in-repo to avoid breakage.

* Remove payloads from main binary

* install: clean up prior libraries

This removes support for v0.3.6 and older versions (before the tar bundle)
and ensures we clean up prior libraries before extracting the bundle(s).
Without this change, runners and dependent libraries could leak when we
update and lead to subtle runtime errors.
This commit is contained in:
Daniel Hiltgen
2024-12-10 09:47:19 -08:00
committed by GitHub
parent 63269668c0
commit 4879a234c4
58 changed files with 877 additions and 1168 deletions

View File

@@ -1,57 +0,0 @@
# top level makefile for Go server
include make/common-defs.make
RUNNER_TARGETS := default
# Determine which if any GPU runners we should build
ifeq ($(OS),windows)
CUDA_PATH?=$(shell cygpath -m -s "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\" 2>/dev/null)unknown
CUDA_BASE_DIR := $(dir $(shell cygpath -m -s "$(CUDA_PATH)\\.." 2>/dev/null))
CUDA_11:=$(shell ls -d $(CUDA_BASE_DIR)/v11.? 2>/dev/null)
CUDA_12:=$(shell ls -d $(CUDA_BASE_DIR)/v12.? 2>/dev/null)
HIP_LIB_DIR := $(shell ls -d $(HIP_PATH)/lib 2>/dev/null)
else ifeq ($(OS),linux)
HIP_PATH?=/opt/rocm
HIP_LIB_DIR := $(shell ls -d $(HIP_PATH)/lib 2>/dev/null)
CUDA_PATH?=/usr/local/cuda
CUDA_11:=$(shell ls -d $(CUDA_PATH)-11 2>/dev/null)
CUDA_12:=$(shell ls -d $(CUDA_PATH)-12 2>/dev/null)
endif
ifeq ($(OLLAMA_SKIP_CUDA_GENERATE),)
ifneq ($(CUDA_11),)
RUNNER_TARGETS += cuda_v11
endif
ifneq ($(CUDA_12),)
RUNNER_TARGETS += cuda_v12
endif
endif
ifeq ($(OLLAMA_SKIP_ROCM_GENERATE),)
ifneq ($(HIP_LIB_DIR),)
RUNNER_TARGETS += rocm
endif
endif
all: clean-payload .WAIT runners
runners: $(RUNNER_TARGETS)
$(RUNNER_TARGETS):
$(MAKE) -f make/Makefile.$@
help-sync apply-patches create-patches sync:
$(MAKE) -f make/Makefile.sync $@
clean:
rm -rf $(BUILD_DIR) $(DIST_RUNNERS) $(PAYLOAD_RUNNERS)
go clean -cache
clean-payload:
rm -rf $(addprefix $(RUNNERS_PAYLOAD_DIR)/, $(RUNNER_TARGETS) metal cpu cpu_avx cpu_avx2)
.PHONY: all runners clean clean-payload $(RUNNER_TARGETS) .WAIT
# Handy debugging for make variables
print-%:
@echo '$*=$($*)'

View File

@@ -9,22 +9,24 @@ package llama
#cgo amd64,avx CXXFLAGS: -mavx
#cgo amd64,avx2 CFLAGS: -mavx2 -mfma
#cgo amd64,avx2 CXXFLAGS: -mavx2 -mfma
#cgo amd64,avx512 CFLAGS: -mavx512f -mavx512dq -mavx512bw
#cgo amd64,avx512 CXXFLAGS: -mavx512f -mavx512dq -mavx512bw
#cgo amd64,avx512bf16 CFLAGS: -mavx512bf16 -D__AVX512BF16__
#cgo amd64,avx512bf16 CXXFLAGS: -mavx512bf16 -D__AVX512BF16__
#cgo amd64,avx512vbmi CFLAGS: -mavx512vbmi -D__AVX512VBMI__
#cgo amd64,avx512vbmi CXXFLAGS: -mavx512vbmi -D__AVX512VBMI__
#cgo amd64,avx512vnni CFLAGS: -mavx512vnni -D__AVX512VNNI__
#cgo amd64,avx512vnni CXXFLAGS: -mavx512vnni -D__AVX512VNNI__
#cgo amd64,f16c CFLAGS: -mf16c
#cgo amd64,f16c CXXFLAGS: -mf16c
#cgo amd64,fma CFLAGS: -mfma
#cgo amd64,fma CXXFLAGS: -mfma
#cgo avx CFLAGS: -mavx
#cgo avx CXXFLAGS: -mavx
#cgo avx2 CFLAGS: -mavx2 -mfma -mf16c
#cgo avx2 CXXFLAGS: -mavx2 -mfma -mf16c
#cgo cuda CFLAGS: -fPIE -DGGML_USE_CUDA -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_CUDA_MMV_Y=1 -DGGML_BUILD=1
#cgo cuda CFLAGS: -fPIE -DGGML_USE_CUDA -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_CUDA_MMV_Y=1 -DGGML_BUILD=1
#cgo cuda CXXFLAGS: -DGGML_USE_CUDA -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_CUDA_MMV_Y=1 -DGGML_BUILD=1
#cgo cuda CXXFLAGS: -DGGML_USE_CUDA -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_CUDA_MMV_Y=1 -DGGML_BUILD=1
#cgo cuda_jetpack5 LDFLAGS: -lggml_cuda_jetpack5 -L/usr/local/cuda-11/lib64
#cgo cuda_jetpack6 LDFLAGS: -lggml_cuda_jetpack6 -L/usr/local/cuda-12/lib64
#cgo cuda_v11 LDFLAGS: -lggml_cuda_v11 -L/usr/local/cuda-11/lib64
#cgo cuda_v12 LDFLAGS: -lggml_cuda_v12 -L/usr/local/cuda-12/lib64
#cgo cuda_jetpack5 LDFLAGS: -lggml_cuda_jetpack5
#cgo cuda_jetpack6 LDFLAGS: -lggml_cuda_jetpack6
#cgo cuda_v11 LDFLAGS: -lggml_cuda_v11
#cgo cuda_v12 LDFLAGS: -lggml_cuda_v12
#cgo darwin,amd64 CFLAGS: -Wno-incompatible-pointer-types-discards-qualifiers
#cgo darwin,amd64 CXXFLAGS: -Wno-incompatible-pointer-types-discards-qualifiers
#cgo darwin,amd64 LDFLAGS: -framework Foundation
@@ -36,28 +38,24 @@ package llama
#cgo darwin,arm64 LDFLAGS: -framework Foundation -framework Metal -framework MetalKit -framework Accelerate
#cgo linux CFLAGS: -D_GNU_SOURCE
#cgo linux CXXFLAGS: -D_GNU_SOURCE
#cgo linux,amd64 LDFLAGS: -L${SRCDIR}/build/Linux/amd64
#cgo linux,amd64 LDFLAGS: -L${SRCDIR}/build/Linux/amd64
#cgo linux,amd64 LDFLAGS: -L${SRCDIR}/build/linux-amd64
#cgo linux,arm64 CFLAGS: -D__aarch64__ -D__ARM_NEON -D__ARM_FEATURE_FMA
#cgo linux,arm64 CXXFLAGS: -D__aarch64__ -D__ARM_NEON -D__ARM_FEATURE_FMA
#cgo linux,arm64 LDFLAGS: -L${SRCDIR}/build/Linux/arm64
#cgo linux,arm64 LDFLAGS: -L${SRCDIR}/build/linux-arm64
#cgo linux,arm64,sve CFLAGS: -march=armv8.6-a+sve
#cgo linux,arm64,sve CXXFLAGS: -march=armv8.6-a+sve
#cgo linux,cuda LDFLAGS: -lcuda -lcudart -lcublas -lcublasLt -lpthread -ldl -lrt -lresolv
#cgo linux,rocm LDFLAGS: -L/opt/rocm/lib -lpthread -ldl -lrt -lresolv
#cgo linux,rocm LDFLAGS: -lpthread -ldl -lrt -lresolv
#cgo rocm CFLAGS: -DGGML_USE_CUDA -DGGML_USE_HIPBLAS -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_CUDA_MMV_Y=1 -DGGML_BUILD=1
#cgo rocm CXXFLAGS: -DGGML_USE_CUDA -DGGML_USE_HIPBLAS -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_CUDA_MMV_Y=1 -DGGML_BUILD=1
#cgo rocm LDFLAGS: -L${SRCDIR} -lggml_rocm -lhipblas -lamdhip64 -lrocblas
#cgo windows CFLAGS: -Wno-discarded-qualifiers -D_WIN32_WINNT=0x602
#cgo windows CXXFLAGS: -D_WIN32_WINNT=0x602
#cgo windows LDFLAGS: -lmsvcrt
#cgo windows LDFLAGS: -lmsvcrt -static-libstdc++ -static-libgcc -static
#cgo windows,amd64 LDFLAGS: -L${SRCDIR}/build/Windows/amd64
#cgo windows,amd64 LDFLAGS: -L${SRCDIR}/build/Windows/amd64
#cgo windows,amd64 LDFLAGS: -L${SRCDIR}/build/windows-amd64
#cgo windows,arm64 CFLAGS: -D__aarch64__ -D__ARM_NEON -D__ARM_FEATURE_FMA
#cgo windows,arm64 CXXFLAGS: -D__aarch64__ -D__ARM_NEON -D__ARM_FEATURE_FMA
#cgo windows,arm64 LDFLAGS: -L${SRCDIR}/build/Windows/arm64
#cgo windows,arm64 LDFLAGS: -L${SRCDIR}/build/Windows/arm64
#cgo windows,arm64 LDFLAGS: -L${SRCDIR}/build/windows-arm64
#cgo windows,cuda LDFLAGS: -lcuda -lcudart -lcublas -lcublasLt
#cgo windows,rocm LDFLAGS: -lggml_rocm -lhipblas -lamdhip64 -lrocblas

View File

@@ -1,12 +0,0 @@
# Build rules for CUDA v11 runner
include make/common-defs.make
GPU_RUNNER_VARIANT := _v11
GPU_PATH_ROOT_WIN=$(shell ls -d $(dir $(shell cygpath -m -s "$(CUDA_PATH)\.."))/v11.? 2>/dev/null)
GPU_PATH_ROOT_LINUX=$(shell ls -d $(CUDA_PATH)-11 2>/dev/null)
CUDA_ARCHITECTURES?=50;52;53;60;61;62;70;72;75;80;86
include make/cuda.make
include make/gpu.make

View File

@@ -1,12 +0,0 @@
# Build rules for CUDA v12 runner
include make/common-defs.make
GPU_RUNNER_VARIANT := _v12
GPU_PATH_ROOT_WIN=$(shell ls -d $(dir $(shell cygpath -m -s "$(CUDA_PATH)\.."))/v12.? 2>/dev/null)
GPU_PATH_ROOT_LINUX=$(shell ls -d $(CUDA_PATH)-12 2>/dev/null)
CUDA_ARCHITECTURES?=60;61;62;70;72;75;80;86;87;89;90;90a
include make/cuda.make
include make/gpu.make

View File

@@ -1,54 +0,0 @@
# Build the default runner(s) for the platform which do not rely on 3rd party GPU libraries
# On Mac arm64, this builds the metal runner
# On other platforms this builds the CPU runner(s)
include make/common-defs.make
CPU_GOFLAGS="-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=$(VERSION)\" \"-X=github.com/ollama/ollama/llama.CpuFeatures=$(subst $(space),$(comma),$(TARGET_CPU_FLAGS))\" $(TARGET_LDFLAGS)"
DEFAULT_RUNNER := $(if $(and $(filter darwin,$(OS)),$(filter arm64,$(ARCH))),metal,cpu)
RUNNERS := $(DEFAULT_RUNNER)
ifeq ($(ARCH),amd64)
ifeq ($(CUSTOM_CPU_FLAGS),)
RUNNERS += cpu_avx cpu_avx2
endif
endif
DIST_RUNNERS = $(addprefix $(RUNNERS_DIST_DIR)/,$(addsuffix /ollama_llama_server$(EXE_EXT),$(RUNNERS)))
ifneq ($(OS),windows)
PAYLOAD_RUNNERS = $(addprefix $(RUNNERS_PAYLOAD_DIR)/,$(addsuffix /ollama_llama_server$(EXE_EXT).gz,$(RUNNERS)))
endif
BUILD_RUNNERS = $(addprefix $(RUNNERS_BUILD_DIR)/,$(addsuffix /ollama_llama_server$(EXE_EXT),$(RUNNERS)))
all: $(BUILD_RUNNERS) $(DIST_RUNNERS) $(PAYLOAD_RUNNERS)
$(RUNNERS_BUILD_DIR)/$(DEFAULT_RUNNER)/ollama_llama_server$(EXE_EXT): TARGET_CPU_FLAGS=$(CUSTOM_CPU_FLAGS)
$(RUNNERS_BUILD_DIR)/$(DEFAULT_RUNNER)/ollama_llama_server$(EXE_EXT): *.go ./runner/*.go $(COMMON_SRCS) $(COMMON_HDRS)
@-mkdir -p $(dir $@)
GOARCH=$(ARCH) go build -buildmode=pie $(CPU_GOFLAGS) -trimpath $(if $(CUSTOM_CPU_FLAGS),-tags $(subst $(space),$(comma),$(CUSTOM_CPU_FLAGS))) -o $@ ./runner
$(RUNNERS_BUILD_DIR)/cpu_avx/ollama_llama_server$(EXE_EXT): TARGET_CPU_FLAGS="avx"
$(RUNNERS_BUILD_DIR)/cpu_avx/ollama_llama_server$(EXE_EXT): *.go ./runner/*.go $(COMMON_SRCS) $(COMMON_HDRS)
@-mkdir -p $(dir $@)
GOARCH=$(ARCH) go build -buildmode=pie $(CPU_GOFLAGS) -trimpath -tags $(subst $(space),$(comma),$(TARGET_CPU_FLAGS)) -o $@ ./runner
$(RUNNERS_BUILD_DIR)/cpu_avx2/ollama_llama_server$(EXE_EXT): TARGET_CPU_FLAGS="avx avx2"
$(RUNNERS_BUILD_DIR)/cpu_avx2/ollama_llama_server$(EXE_EXT): *.go ./runner/*.go $(COMMON_SRCS) $(COMMON_HDRS)
@-mkdir -p $(dir $@)
GOARCH=$(ARCH) go build -buildmode=pie $(CPU_GOFLAGS) -trimpath -tags $(subst $(space),$(comma),$(TARGET_CPU_FLAGS)) -o $@ ./runner
$(RUNNERS_DIST_DIR)/%: $(RUNNERS_BUILD_DIR)/%
@-mkdir -p $(dir $@)
cp $< $@
$(RUNNERS_PAYLOAD_DIR)/%/ollama_llama_server$(EXE_EXT).gz: $(RUNNERS_BUILD_DIR)/%/ollama_llama_server$(EXE_EXT)
@-mkdir -p $(dir $@)
${GZIP} --best -c $< > $@
clean:
rm -f $(BUILD_RUNNERS) $(DIST_RUNNERS) $(PAYLOAD_RUNNERS)
.PHONY: clean all
# Handy debugging for make variables
print-%:
@echo '$*=$($*)'

View File

@@ -1,109 +0,0 @@
# Build rules for ROCm runner
#
# Note: at present we only support a single ROCm version (whichever is default on the build system)
# unlike CUDA where we'll build both a v11 and v12 variant.
include make/common-defs.make
HIP_ARCHS_COMMON := gfx900 gfx940 gfx941 gfx942 gfx1010 gfx1012 gfx1030 gfx1100 gfx1101 gfx1102
HIP_ARCHS_LINUX := gfx906:xnack- gfx908:xnack- gfx90a:xnack+ gfx90a:xnack-
ifeq ($(OS),windows)
GPU_LIB_DIR_WIN := $(shell cygpath -m -s "$(HIP_PATH)/bin")
CGO_EXTRA_LDFLAGS_WIN := -L$(shell cygpath -m -s "$(HIP_PATH)/lib")
GPU_COMPILER_WIN := $(HIP_PATH)/bin/hipcc.bin.exe
GPU_COMPILER:=$(GPU_COMPILER_WIN)
else ifeq ($(OS),linux)
GPU_LIB_DIR_LINUX := $(HIP_PATH)/lib
GPU_COMPILER_LINUX := $(shell X=$$(which hipcc 2>/dev/null) && echo $$X)
GPU_COMPILER:=$(GPU_COMPILER_LINUX)
ROCM_TRANSITIVE_LIBS_INITIAL = $(sort $(shell ldd $(GPU_LIBS) | grep "=>" | cut -f2 -d= | cut -f2 -d' ' | grep -e rocm -e amdgpu -e libtinfo -e libnuma -e libelf))
GPU_TRANSITIVE_LIBS = $(sort $(shell readlink -f $(ROCM_TRANSITIVE_LIBS_INITIAL)) $(ROCM_TRANSITIVE_LIBS_INITIAL))
endif
# TODO future multi-variant support for ROCm
# ROCM_VERSION = $(subst $(space),.,$(wordlist 1,2,$(subst .,$(space),$(word 3,$(subst -,$(space),$(filter HIP version: %,$(shell $(GPU_COMPILER) --version)))))))
# ifneq (,$(ROCM_VERSION))
# GPU_RUNNER_VARIANT = _v$(ROCM_VERSION)
# endif
GPU_RUNNER_GO_TAGS := rocm
GPU_RUNNER_NAME := rocm$(GPU_RUNNER_VARIANT)
GPU_RUNNER_DRIVER_LIB_LINK := -lamdhip64
GPU_RUNNER_LIBS_SHORT := hipblas rocblas
GPU_PATH_ROOT_WIN=$(dir $(GPU_LIB_DIR_WIN))
GPU_PATH_ROOT_LINUX=$(dir $(GPU_LIB_DIR_LINUX))
GPU_COMPILER_CFLAGS_WIN = $(CFLAGS) -D_WIN32_WINNT=0x602
GPU_COMPILER_CFLAGS_LINUX = $(CFLAGS) -fPIC -D_GNU_SOURCE
GPU_COMPILER_CXXFLAGS_WIN = $(CXXFLAGS) -D_WIN32_WINNT=0x602
GPU_COMPILER_CXXFLAGS_LINUX = $(CXXFLAGS) -fPIC -D_GNU_SOURCE
GPU_LIBS = $(wildcard $(addsuffix .$(SHARED_EXT),$(addprefix $(GPU_LIB_DIR)/$(SHARED_PREFIX),$(GPU_RUNNER_LIBS_SHORT))))
ifeq ($(OS),windows)
ROCM_DIST_DEPS_DIR = $(abspath $(SRC_DIR)/../dist/$(OS)-$(ARCH))/lib/ollama
else ifeq ($(OS),linux)
ROCM_DIST_DEPS_DIR = $(abspath $(SRC_DIR)/../dist/$(OS)-$(ARCH)-rocm)/lib/ollama
endif
GPU_DIST_DEPS_LIBS= $(sort $(addprefix $(ROCM_DIST_DEPS_DIR)/,$(notdir $(GPU_LIBS)) $(notdir $(GPU_TRANSITIVE_LIBS))))
ROCBLAS_DIST_DEP_MANIFEST = $(ROCM_DIST_DEPS_DIR)/rocblas/library/TensileManifest.txt
ifeq ($(OS),linux)
GPU_COMPILER_FPIC := -fPIC -Wno-unused-function -std=gnu++11
GPU_RUNNER_ARCH_FLAGS := $(foreach arch, $(HIP_ARCHS_COMMON) $(HIP_ARCHS_LINUX), --offload-arch=$(arch))
else ifeq ($(OS),windows)
GPU_COMPILER_FPIC := -Xclang --dependent-lib=msvcrt
GPU_RUNNER_ARCH_FLAGS := $(foreach arch, $(HIP_ARCHS_COMMON), --offload-arch=$(arch))
endif
GPU_COMPILER_CUFLAGS = \
$(GPU_COMPILER_FPIC) \
$(addprefix -m,$(GPU_RUNNER_CPU_FLAGS)) \
-mf16c \
-mfma \
-parallel-jobs=2 \
-c \
-O3 \
-DGGML_USE_CUDA \
-DGGML_BUILD=1 \
-DGGML_SHARED=1 \
-DGGML_CUDA_DMMV_X=32 \
-DGGML_CUDA_MMV_Y=1 \
-DGGML_SCHED_MAX_COPIES=4 \
-DGGML_USE_HIPBLAS \
-DGGML_USE_LLAMAFILE \
-DHIP_FAST_MATH \
-D__HIP_PLATFORM_AMD__=1 \
-D__HIP_ROCclr__=1 \
-DNDEBUG \
-DK_QUANTS_PER_ITERATION=2 \
-D_CRT_SECURE_NO_WARNINGS \
-D_GNU_SOURCE \
-D_XOPEN_SOURCE=600 \
-DUSE_PROF_API=1 \
-std=gnu++14 \
-x hip \
-mllvm=-amdgpu-early-inline-all=true \
-mllvm=-amdgpu-function-calls=false \
-Wno-expansion-to-defined \
-Wno-invalid-noreturn \
-Wno-ignored-attributes \
-Wno-pass-failed \
-Wno-deprecated-declarations \
-Wno-unused-result \
-I.
# Workaround buggy P2P copy on some windows multi-GPU setups
# This workaround breaks linux systems with small system RAM, so only enable on windows
ifeq ($(OS),windows)
GPU_COMPILER_CUFLAGS += -DGGML_CUDA_NO_PEER_COPY=1
endif
include make/gpu.make
# Adjust the rules from gpu.make to handle the ROCm dependencies properly
$(RUNNERS_DIST_DIR)/$(GPU_RUNNER_NAME)/ollama_llama_server$(EXE_EXT): $(ROCBLAS_DIST_DEP_MANIFEST)
$(ROCBLAS_DIST_DEP_MANIFEST):
@-mkdir -p $(dir $@)
@echo "Copying rocblas library..."
cd $(GPU_LIB_DIR)/rocblas/library/ && tar cf - . | (cd $(dir $@) && tar xf - )
@echo "rocblas library copy complete"

View File

@@ -1,191 +0,0 @@
# Helpers for managing our vendored llama.cpp repo and patch set
REPO_ROOT:=$(dir $(patsubst %/,%,$(dir $(patsubst %/,%,$(dir $(abspath $(lastword $(MAKEFILE_LIST))))))))
DST_DIR:=$(dir $(patsubst %/,%,$(dir $(abspath $(lastword $(MAKEFILE_LIST))))))
include $(REPO_ROOT)llama/vendoring
LLAMACPP_REPO := $(REPO_ROOT)llama/vendor/
LLAMACPP_PATCH_DIR := $(DST_DIR)patches/
help-sync:
@echo "The following make targets will help you update llama.cpp to a new base commit, or work on new features/fixes"
@echo ""
@echo "\tmake apply-patches # Establish the tracking repo if not already present, reset to the base commit, and apply our patch set"
@echo "\tmake sync # Vendor llama.cpp and ggml from the tracking repo working tree"
@echo "\tmake create-patches # Generate the patch set based on the current commits in the tracking repo since the base commit"
@echo ""
@echo "For more details on the workflow, see the Vendoring section in ../docs/development.md"
apply-patches: $(LLAMACPP_REPO)
@if ! git -C $(LLAMACPP_REPO) --no-pager diff --exit-code ; then \
echo "ERROR: Your llama.cpp repo is dirty. The apply-patches target requires a clean working tree"; \
echo "To clobber: git -C $(LLAMACPP_REPO) reset --hard HEAD" ; \
exit 1; \
fi
@echo "Checking out $(LLAMACPP_BASE_COMMIT)"
@git -C $(LLAMACPP_REPO) checkout -q $(LLAMACPP_BASE_COMMIT) || \
git -C $(LLAMACPP_REPO) fetch --all && git -C $(LLAMACPP_REPO) checkout -q $(LLAMACPP_BASE_COMMIT)
@echo "Applying ollama patches..."
@git -c 'user.name=nobody' -c 'user.email=<>' -C $(LLAMACPP_REPO) am -3 $(LLAMACPP_PATCH_DIR)/*.patch || \
echo "Please resolve the conflicts in $(LLAMACPP_REPO), and run 'git am --continue' to continue applying subsequent patches"
@echo ""
@echo "The tracking repo $(LLAMACPP_REPO) is now in a detached state with all patches applied."
@echo "Don't forget to commit any changes you make and run 'make create-patches' "
$(LLAMACPP_REPO):
@echo "Cloning llama.cpp to $(LLAMACPP_REPO)"
git clone https://github.com/ggerganov/llama.cpp.git $@
create-patches: $(LLAMACPP_REPO)
@if ! git -C $(LLAMACPP_REPO) --no-pager diff --exit-code ; then \
echo "ERROR: Your llama.cpp repo is dirty. You must commit any pending changes for format-patch to generate patches"; \
exit 1; \
fi
git -C $(LLAMACPP_REPO) format-patch --no-signature --no-numbered --zero-commit -o $(LLAMACPP_PATCH_DIR) $(LLAMACPP_BASE_COMMIT)
# Vendoring template logic
EXCLUDED_FILES=sgemm.cpp sgemm.h sampling_ext.cpp sampling_ext.h stb_image.h json.hpp llama_darwin.c base64.hpp
OLLAMA_NATIVE_FILES=mllama.cpp mllama.h llama_darwin.c sampling_ext.cpp sampling_ext.h
define vendor_file
$(strip $(addprefix $(2),$(notdir $1))) : $(addprefix $(LLAMACPP_REPO),$(1))
ifneq ($$(filter-out $(EXCLUDED_FILES),$(notdir $1)),)
@echo "vendoring $1"; \
mkdir -p $$(dir $$@) && \
echo "/**" > $$@ && \
echo " * llama.cpp - commit $$(LLAMACPP_BASE_COMMIT) - do not edit this file" >> $$@ && \
echo " *" >> $$@ && \
sed 's/^/ * /' <$(LLAMACPP_REPO)/LICENSE | sed 's/ *$$$$//' >> $$@ && \
echo " */" >> $$@ && \
echo "" >> $$@ && \
cat $$< >> $$@
else
@echo "vendoring $1"; \
mkdir -p $$(dir $$@) && \
cat $$< > $$@
endif
VENDORED_FILES += $(strip $(addprefix $(2),$(notdir $1)))
endef
# llama.cpp files -> llama/
LLAMACPP_FILES=\
src/unicode.cpp \
src/unicode.h \
src/unicode-data.cpp \
src/unicode-data.h \
src/llama.cpp \
src/llama-impl.h \
src/llama-vocab.cpp \
src/llama-vocab.h \
src/llama-grammar.cpp \
src/llama-grammar.h \
src/llama-sampling.cpp \
src/llama-sampling.h \
include/llama.h \
ggml/src/llamafile/sgemm.cpp \
ggml/src/llamafile/sgemm.h
$(foreach name,$(LLAMACPP_FILES),$(eval $(call vendor_file,$(name),$(DST_DIR))))
# llama.cpp files -> llama/llamafile
LLAMAFILE_FILES= \
ggml/src/llamafile/sgemm.h
$(foreach name,$(LLAMAFILE_FILES),$(eval $(call vendor_file,$(name),$(DST_DIR)llamafile/)))
# ggml files -> llama/
GGML_FILES= \
ggml/src/ggml.c \
ggml/include/ggml.h \
ggml/src/ggml-quants.c \
ggml/src/ggml-quants.h \
ggml/src/ggml-metal.metal \
ggml/include/ggml-metal.h \
ggml/src/ggml-impl.h \
ggml/include/ggml-cuda.h \
ggml/src/ggml-cuda.cu \
ggml/src/ggml-common.h \
ggml/include/ggml-backend.h \
ggml/src/ggml-backend.c \
ggml/src/ggml-backend-impl.h \
ggml/include/ggml-alloc.h \
ggml/src/ggml-alloc.c \
ggml/src/ggml-aarch64.h \
ggml/src/ggml-aarch64.c \
ggml/src/ggml-cpu-impl.h \
ggml/include/ggml-blas.h \
ggml/src/ggml-blas.cpp
$(foreach name,$(GGML_FILES),$(eval $(call vendor_file,$(name),$(DST_DIR))))
# TODO generalize renaming pattern if we have more of these
$(DST_DIR)ggml-metal_darwin_arm64.m : $(LLAMACPP_REPO)ggml/src/ggml-metal.m
@echo "vendoring $(subst $(LLAMACPP_REPO),,$<)"; \
mkdir -p $(dir $@) && \
echo "/**" > $@ && \
echo " * llama.cpp - commit $(LLAMACPP_BASE_COMMIT) - do not edit this file" >> $@ && \
echo " *" >> $@ && \
sed 's/^/ * /' <$(LLAMACPP_REPO)/LICENSE | sed 's/ *$$//' >> $@ && \
echo " */" >> $@ && \
echo "" >> $@ && \
cat $< >> $@
VENDORED_FILES += $(DST_DIR)ggml-metal_darwin_arm64.m
# ggml-cuda -> llama/ggml-cuda/
GGML_CUDA_FILES= ggml/src/ggml-cuda/*.cu ggml/src/ggml-cuda/*.cuh
GGML_CUDA_FILES_EXPANDED = $(addprefix ggml/src/ggml-cuda/,$(notdir $(wildcard $(addprefix $(LLAMACPP_REPO),$(GGML_CUDA_FILES)))))
$(foreach name,$(GGML_CUDA_FILES_EXPANDED),$(eval $(call vendor_file,$(name),$(DST_DIR)ggml-cuda/)))
GGML_TEMPLATE_FILES= ggml/src/ggml-cuda/template-instances/*.cu
GGML_TEMPLATE_FILES_EXPANDED = $(addprefix ggml/src/ggml-cuda/template-instances/,$(notdir $(wildcard $(addprefix $(LLAMACPP_REPO),$(GGML_TEMPLATE_FILES)))))
$(foreach name,$(GGML_TEMPLATE_FILES_EXPANDED),$(eval $(call vendor_file,$(name),$(DST_DIR)ggml-cuda/template-instances/)))
GGML_VENDOR_FILES= ggml/src/ggml-cuda/vendors/*.h
GGML_VENDOR_FILES_EXPANDED=$(addprefix ggml/src/ggml-cuda/vendors/,$(notdir $(wildcard $(addprefix $(LLAMACPP_REPO),$(GGML_VENDOR_FILES)))))
$(foreach name,$(GGML_VENDOR_FILES_EXPANDED),$(eval $(call vendor_file,$(name),$(DST_DIR)ggml-cuda/vendors/)))
# llava -> llama/
LAVA_FILES= \
examples/llava/clip.cpp \
examples/llava/clip.h \
examples/llava/llava.cpp \
examples/llava/llava.h \
common/log.h \
common/log.cpp \
common/stb_image.h
# These files are mostly used by the llava code
# and shouldn't be necessary once we use clip.cpp directly
LAVA_FILES+= \
common/common.cpp \
common/common.h \
common/sampling.cpp \
common/sampling.h \
common/json.hpp \
common/json-schema-to-grammar.cpp \
common/json-schema-to-grammar.h \
common/base64.hpp
$(foreach name,$(LAVA_FILES),$(eval $(call vendor_file,$(name),$(DST_DIR))))
$(DST_DIR)build-info.cpp:
@echo "Generating $@"
@echo "int LLAMA_BUILD_NUMBER = 0;" > $@
@echo "char const *LLAMA_COMMIT = \"$(LLAMACPP_BASE_COMMIT)\";" >> $@
@echo "char const *LLAMA_COMPILER = \"\";" >> $@
@echo "char const *LLAMA_BUILD_TARGET = \"\";" >> $@
VENDORED_FILES += $(DST_DIR)build-info.cpp
sync: $(LLAMACPP_REPO) .WAIT $(VENDORED_FILES) .WAIT remove-stale-files
PATS=*.c *.h *.cpp *.m *.metal *.cu *.cuh
NATIVE_DIRS=$(DST_DIR) $(DST_DIR)llamafile/ $(DST_DIR)ggml-cuda/ $(DST_DIR)ggml-cuda/template-instances/ $(DST_DIR)ggml-cuda/vendors/
ALL_NATIVE_FILES=$(foreach dir,$(NATIVE_DIRS),$(wildcard $(addprefix $(dir),$(PATS))))
EXTRA_NATIVE_FILES=$(filter-out $(VENDORED_FILES) $(addprefix $(DST_DIR),$(OLLAMA_NATIVE_FILES)), $(ALL_NATIVE_FILES))
remove-stale-files:
@rm -f $(EXTRA_NATIVE_FILES)
.PHONY: help-sync apply-patches sync create-patches remove-stale-fails .WAIT
# Handy debugging for make variables
print-%:
@echo '$*=$($*)'

View File

@@ -1,84 +0,0 @@
# Common definitions for the various Makefiles
# No rules are defined here so this is safe to include at the beginning of other makefiles
OS := $(shell uname -s)
ARCH ?= $(subst aarch64,arm64,$(subst x86_64,amd64,$(shell uname -m)))
ifneq (,$(findstring MINGW,$(OS))$(findstring MSYS,$(OS)))
OS := windows
ARCH := $(shell systeminfo 2>/dev/null | grep "System Type" | grep ARM64 > /dev/null && echo "arm64" || echo "amd64" )
else ifeq ($(OS),Linux)
OS := linux
else ifeq ($(OS),Darwin)
OS := darwin
endif
comma:= ,
empty:=
space:= $(empty) $(empty)
uc = $(subst a,A,$(subst b,B,$(subst c,C,$(subst d,D,$(subst e,E,$(subst f,F,$(subst g,G,$(subst h,H,$(subst i,I,$(subst j,J,$(subst k,K,$(subst l,L,$(subst m,M,$(subst n,N,$(subst o,O,$(subst p,P,$(subst q,Q,$(subst r,R,$(subst s,S,$(subst t,T,$(subst u,U,$(subst v,V,$(subst w,W,$(subst x,X,$(subst y,Y,$(subst z,Z,$1))))))))))))))))))))))))))
export CGO_CFLAGS_ALLOW = -mfma|-mf16c
export CGO_CXXFLAGS_ALLOW = -mfma|-mf16c
export HIP_PLATFORM = amd
export CGO_ENABLED=1
SRC_DIR := $(dir $(patsubst %/,%,$(dir $(abspath $(lastword $(MAKEFILE_LIST))))))
BUILD_DIR = $(SRC_DIR)build/$(OS)-$(ARCH)
DIST_BASE = $(abspath $(SRC_DIR)/../dist/$(OS)-$(ARCH))
DIST_LIB_DIR = $(DIST_BASE)/lib/ollama
RUNNERS_DIST_DIR = $(DIST_LIB_DIR)/runners
RUNNERS_PAYLOAD_DIR = $(abspath $(SRC_DIR)/../build/$(OS)/$(ARCH))
RUNNERS_BUILD_DIR = $(BUILD_DIR)/runners
DEFAULT_RUNNER := $(if $(and $(filter darwin,$(OS)),$(filter arm64,$(ARCH))),metal,cpu)
GZIP:=$(shell command -v pigz 2>/dev/null || echo "gzip")
ifneq ($(OS),windows)
CCACHE:=$(shell command -v ccache 2>/dev/null || echo "")
endif
VERSION?=$(shell git describe --tags --first-parent --abbrev=7 --long --dirty --always | sed -e "s/^v//g")
# Conditionally enable ccache for cgo builds too
ifneq ($(CCACHE),)
CC=$(CCACHE) gcc
CXX=$(CCACHE) g++
export CC
export CXX
endif
# Override in environment space separated to tune GPU runner CPU vector flags
ifeq ($(ARCH),amd64)
GPU_RUNNER_CPU_FLAGS ?= avx
endif
ifeq ($(OS),windows)
CP := cp
SRC_DIR := $(shell cygpath -m -s "$(SRC_DIR)")
OBJ_EXT := obj
SHARED_EXT := dll
EXE_EXT := .exe
SHARED_PREFIX :=
CPU_FLAG_PREFIX := /arch:
ifneq ($(HIP_PATH),)
# If HIP_PATH has spaces, hipcc trips over them when subprocessing
HIP_PATH := $(shell cygpath -m -s "$(patsubst %\,%,$(HIP_PATH))")
export HIP_PATH
endif
else ifeq ($(OS),linux)
CP := cp -af
OBJ_EXT := o
SHARED_EXT := so
SHARED_PREFIX := lib
CPU_FLAG_PREFIX := -m
HIP_PATH?=/opt/rocm
else
OBJ_EXT := o
SHARED_EXT := so
CPU_FLAG_PREFIX := -m
CP := cp -af
endif
COMMON_SRCS := \
$(wildcard *.c) \
$(wildcard *.cpp)
COMMON_HDRS := \
$(wildcard *.h) \
$(wildcard *.hpp)

View File

@@ -1,50 +0,0 @@
# Common definitions for all cuda versions
ifndef GPU_RUNNER_VARIANT
dummy:
$(error This makefile is not meant to build directly, but instead included in other Makefiles that set required variables)
endif
GPU_RUNNER_NAME := cuda$(GPU_RUNNER_VARIANT)
GPU_RUNNER_GO_TAGS := cuda cuda$(GPU_RUNNER_VARIANT)
GPU_RUNNER_DRIVER_LIB_LINK := -lcuda
GPU_RUNNER_LIBS_SHORT := cublas cudart cublasLt
GPU_LIB_DIR_WIN = $(GPU_PATH_ROOT_WIN)/bin
GPU_LIB_DIR_LINUX = $(GPU_PATH_ROOT_LINUX)/lib64
CGO_EXTRA_LDFLAGS_WIN = -L"$(GPU_PATH_ROOT_WIN)/lib/x64"
GPU_COMPILER_WIN = $(GPU_PATH_ROOT_WIN)/bin/nvcc
GPU_COMPILER_LINUX = $(GPU_PATH_ROOT_LINUX)/bin/nvcc
GPU_COMPILER_CFLAGS_WIN = $(CFLAGS) -D_WIN32_WINNT=0x602
GPU_COMPILER_CFLAGS_LINUX = $(CFLAGS) -Xcompiler -fPIC -D_GNU_SOURCE
GPU_COMPILER_CXXFLAGS_WIN = $(CXXFLAGS) -D_WIN32_WINNT=0x602
GPU_COMPILER_CXXFLAGS_LINUX = $(CXXFLAGS) -Xcompiler -fPIC -D_GNU_SOURCE
GPU_LIBS = $(sort $(wildcard $(addsuffix *.$(SHARED_EXT)*,$(addprefix $(GPU_LIB_DIR)/$(SHARED_PREFIX),$(GPU_RUNNER_LIBS_SHORT)))))
GPU_DIST_DEPS_LIBS= $(sort $(addprefix $(DIST_GPU_RUNNER_DEPS_DIR)/,$(notdir $(GPU_LIBS))))
ifeq ($(OS),linux)
CUDA_PATH?=/usr/local/cuda
GPU_COMPILER_FPIC = -fPIC -Wno-unused-function -std=c++11
endif
GPU_RUNNER_ARCH_FLAGS := $(foreach arch,$(subst ;,$(space),$(CUDA_ARCHITECTURES)),--generate-code=arch=compute_$(arch)$(comma)code=[compute_$(arch)$(comma)sm_$(arch)]) \
-DGGML_CUDA_USE_GRAPHS=1
GPU_COMPILER_CUFLAGS = \
$(GPU_COMPILER_FPIC) \
-Xcompiler "$(addprefix $(CPU_FLAG_PREFIX),$(_OS_GPU_RUNNER_CPU_FLAGS))" \
-t2 \
-DGGML_CUDA_DMMV_X=32 \
-DGGML_CUDA_MMV_Y=1 \
-DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 \
-DGGML_USE_CUDA=1 \
-DGGML_SHARED=1 \
-DGGML_BUILD=1 \
-DGGML_USE_LLAMAFILE \
-DK_QUANTS_PER_ITERATION=2 \
-DNDEBUG \
-D_GNU_SOURCE \
-D_XOPEN_SOURCE=600 \
-Wno-deprecated-gpu-targets \
--forward-unknown-to-host-compiler \
-use_fast_math \
-I. \
-O3

View File

@@ -1,122 +0,0 @@
# Generalized GPU runner build
ifndef GPU_RUNNER_NAME
dummy:
$(error This makefile is not meant to build directly, but instead included in other Makefiles that set required variables)
endif
ifeq ($(OS),windows)
GPU_COMPILER:=$(GPU_COMPILER_WIN)
GPU_LIB_DIR:=$(GPU_LIB_DIR_WIN)
CGO_EXTRA_LDFLAGS:=$(CGO_EXTRA_LDFLAGS_WIN)
GPU_COMPILER_CFLAGS = $(GPU_COMPILER_CFLAGS_WIN)
GPU_COMPILER_CXXFLAGS = $(GPU_COMPILER_CXXFLAGS_WIN)
else ifeq ($(OS),linux)
GPU_COMPILER:=$(GPU_COMPILER_LINUX)
GPU_LIB_DIR:=$(GPU_LIB_DIR_LINUX)
CGO_EXTRA_LDFLAGS:=$(CGO_EXTRA_LDFLAGS_LINUX)
GPU_COMPILER_CFLAGS = $(GPU_COMPILER_CFLAGS_LINUX)
GPU_COMPILER_CXXFLAGS = $(GPU_COMPILER_CXXFLAGS_LINUX)
endif
GPU_GOFLAGS="-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=$(VERSION)\" \"-X=github.com/ollama/ollama/llama.CpuFeatures=$(subst $(space),$(comma),$(GPU_RUNNER_CPU_FLAGS))\" $(TARGET_LDFLAGS)"
# TODO Unify how we handle dependencies in the dist/packaging and install flow
# today, cuda is bundled, but rocm is split out. Should split them each out by runner
DIST_GPU_RUNNER_DEPS_DIR = $(DIST_LIB_DIR)
ifeq ($(OS),windows)
_OS_GPU_RUNNER_CPU_FLAGS=$(call uc,$(GPU_RUNNER_CPU_FLAGS))
else ifeq ($(OS),linux)
_OS_GPU_RUNNER_CPU_FLAGS=$(GPU_RUNNER_CPU_FLAGS)
endif
GPU_RUNNER_LIBS = $(wildcard $(addsuffix .$(SHARED_EXT).*,$(addprefix $(GPU_LIB_DIR)/$(SHARED_PREFIX),$(GPU_RUNNER_LIBS_SHORT))))
DIST_GPU_RUNNER_LIB_DEPS = $(addprefix $(DIST_GPU_RUNNER_DEPS_DIR)/,$(notdir $(GPU_RUNNER_LIBS)))
GPU_RUNNER_SRCS := \
ggml-cuda.cu \
$(filter-out $(wildcard ggml-cuda/fattn*.cu),$(wildcard ggml-cuda/*.cu)) \
$(wildcard ggml-cuda/template-instances/mmq*.cu) \
ggml.c ggml-backend.c ggml-alloc.c ggml-quants.c sgemm.cpp ggml-aarch64.c
GPU_RUNNER_HDRS := \
$(wildcard ggml-cuda/*.cuh)
# Conditional flags and components to speed up developer builds
ifneq ($(OLLAMA_FAST_BUILD),)
GPU_COMPILER_CUFLAGS += \
-DGGML_DISABLE_FLASH_ATTN
else
GPU_RUNNER_SRCS += \
$(wildcard ggml-cuda/fattn*.cu) \
$(wildcard ggml-cuda/template-instances/fattn-wmma*.cu) \
$(wildcard ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu) \
$(wildcard ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu) \
$(wildcard ggml-cuda/template-instances/fattn-vec*f16-f16.cu)
endif
GPU_RUNNER_OBJS := $(GPU_RUNNER_SRCS:.cu=.$(GPU_RUNNER_NAME).$(OBJ_EXT))
GPU_RUNNER_OBJS := $(GPU_RUNNER_OBJS:.c=.$(GPU_RUNNER_NAME).$(OBJ_EXT))
GPU_RUNNER_OBJS := $(addprefix $(BUILD_DIR)/,$(GPU_RUNNER_OBJS:.cpp=.$(GPU_RUNNER_NAME).$(OBJ_EXT)))
DIST_RUNNERS = $(addprefix $(RUNNERS_DIST_DIR)/,$(addsuffix /ollama_llama_server$(EXE_EXT),$(GPU_RUNNER_NAME)))
ifneq ($(OS),windows)
PAYLOAD_RUNNERS = $(addprefix $(RUNNERS_PAYLOAD_DIR)/,$(addsuffix /ollama_llama_server$(EXE_EXT).gz,$(GPU_RUNNER_NAME)))
endif
BUILD_RUNNERS = $(addprefix $(RUNNERS_BUILD_DIR)/,$(addsuffix /ollama_llama_server$(EXE_EXT),$(GPU_RUNNER_NAME)))
$(GPU_RUNNER_NAME): $(BUILD_RUNNERS) $(DIST_RUNNERS) $(PAYLOAD_RUNNERS)
# Build targets
$(BUILD_DIR)/%.$(GPU_RUNNER_NAME).$(OBJ_EXT): %.cu
@-mkdir -p $(dir $@)
$(CCACHE) $(GPU_COMPILER) -c $(GPU_COMPILER_CFLAGS) $(GPU_COMPILER_CUFLAGS) $(GPU_RUNNER_ARCH_FLAGS) -o $@ $<
$(BUILD_DIR)/%.$(GPU_RUNNER_NAME).$(OBJ_EXT): %.c
@-mkdir -p $(dir $@)
$(CCACHE) $(GPU_COMPILER) -c $(GPU_COMPILER_CFLAGS) -o $@ $<
$(BUILD_DIR)/%.$(GPU_RUNNER_NAME).$(OBJ_EXT): %.cpp
@-mkdir -p $(dir $@)
$(CCACHE) $(GPU_COMPILER) -c $(GPU_COMPILER_CXXFLAGS) -o $@ $<
$(RUNNERS_BUILD_DIR)/$(GPU_RUNNER_NAME)/ollama_llama_server$(EXE_EXT): TARGET_CGO_LDFLAGS = -L"$(RUNNERS_BUILD_DIR)/$(GPU_RUNNER_NAME)/" $(CGO_EXTRA_LDFLAGS)
$(RUNNERS_BUILD_DIR)/$(GPU_RUNNER_NAME)/ollama_llama_server$(EXE_EXT): $(RUNNERS_BUILD_DIR)/$(GPU_RUNNER_NAME)/$(SHARED_PREFIX)ggml_$(GPU_RUNNER_NAME).$(SHARED_EXT) *.go ./runner/*.go $(COMMON_SRCS) $(COMMON_HDRS)
@-mkdir -p $(dir $@)
GOARCH=$(ARCH) CGO_LDFLAGS="$(TARGET_CGO_LDFLAGS)" go build -buildmode=pie $(GPU_GOFLAGS) -trimpath -tags $(subst $(space),$(comma),$(GPU_RUNNER_CPU_FLAGS) $(GPU_RUNNER_GO_TAGS)) -o $@ ./runner
$(RUNNERS_BUILD_DIR)/$(GPU_RUNNER_NAME)/$(SHARED_PREFIX)ggml_$(GPU_RUNNER_NAME).$(SHARED_EXT): $(GPU_RUNNER_OBJS) $(DIST_GPU_RUNNER_LIB_DEPS) $(COMMON_HDRS) $(GPU_RUNNER_HDRS)
@-mkdir -p $(dir $@)
$(CCACHE) $(GPU_COMPILER) --shared -L$(GPU_LIB_DIR) $(GPU_RUNNER_DRIVER_LIB_LINK) -L${DIST_GPU_RUNNER_DEPS_DIR} $(foreach lib, $(GPU_RUNNER_LIBS_SHORT), -l$(lib)) $(GPU_RUNNER_OBJS) -o $@
# Distribution targets
$(RUNNERS_DIST_DIR)/%: $(RUNNERS_BUILD_DIR)/%
@-mkdir -p $(dir $@)
$(CP) $< $@
$(RUNNERS_DIST_DIR)/$(GPU_RUNNER_NAME)/ollama_llama_server$(EXE_EXT): $(DIST_LIB_DIR)/$(SHARED_PREFIX)ggml_$(GPU_RUNNER_NAME).$(SHARED_EXT) $(GPU_DIST_DEPS_LIBS)
$(DIST_LIB_DIR)/$(SHARED_PREFIX)ggml_$(GPU_RUNNER_NAME).$(SHARED_EXT): $(RUNNERS_BUILD_DIR)/$(GPU_RUNNER_NAME)/$(SHARED_PREFIX)ggml_$(GPU_RUNNER_NAME).$(SHARED_EXT)
@-mkdir -p $(dir $@)
$(CP) $< $@
$(DIST_GPU_RUNNER_LIB_DEPS):
@-mkdir -p $(dir $@)
$(CP) $(GPU_LIB_DIR)/$(notdir $@) $(dir $@)
$(GPU_DIST_DEPS_LIBS):
@-mkdir -p $(dir $@)
$(CP) $(dir $(filter %$(notdir $@),$(GPU_LIBS) $(GPU_TRANSITIVE_LIBS)))/$(notdir $@) $(dir $@)
# Payload targets
$(RUNNERS_PAYLOAD_DIR)/%/ollama_llama_server.gz: $(RUNNERS_BUILD_DIR)/%/ollama_llama_server
@-mkdir -p $(dir $@)
${GZIP} --best -c $< > $@
$(RUNNERS_PAYLOAD_DIR)/$(GPU_RUNNER_NAME)/%.gz: $(RUNNERS_BUILD_DIR)/$(GPU_RUNNER_NAME)/%
@-mkdir -p $(dir $@)
${GZIP} --best -c $< > $@
clean:
rm -f $(GPU_RUNNER_OBJS) $(BUILD_RUNNERS) $(DIST_RUNNERS) $(PAYLOAD_RUNNERS)
.PHONY: clean $(GPU_RUNNER_NAME)
# Handy debugging for make variables
print-%:
@echo '$*=$($*)'

View File

@@ -1,4 +1,4 @@
package main
package runner
import (
"errors"

View File

@@ -1,4 +1,4 @@
package main
package runner
import (
"testing"

View File

@@ -1,4 +1,4 @@
package main
package runner
import (
"errors"

View File

@@ -1,4 +1,4 @@
package main
package runner
import (
"reflect"

View File

@@ -1,19 +0,0 @@
package main
import (
"encoding/json"
"os"
"github.com/ollama/ollama/llama"
"github.com/ollama/ollama/version"
)
func printRequirements(fp *os.File) {
attrs := map[string]string{
"system_info": llama.PrintSystemInfo(),
"version": version.Version,
"cpu_features": llama.CpuFeatures,
}
enc := json.NewEncoder(fp)
_ = enc.Encode(attrs)
}

View File

@@ -1,4 +1,4 @@
package main
package runner
import (
"context"
@@ -895,32 +895,37 @@ func (s *Server) loadModel(
s.ready.Done()
}
func main() {
mpath := flag.String("model", "", "Path to model binary file")
ppath := flag.String("mmproj", "", "Path to projector binary file")
parallel := flag.Int("parallel", 1, "Number of sequences to handle simultaneously")
batchSize := flag.Int("batch-size", 512, "Batch size")
nGpuLayers := flag.Int("n-gpu-layers", 0, "Number of layers to offload to GPU")
mainGpu := flag.Int("main-gpu", 0, "Main GPU")
flashAttention := flag.Bool("flash-attn", false, "Enable flash attention")
kvSize := flag.Int("ctx-size", 2048, "Context (or KV cache) size")
kvCacheType := flag.String("kv-cache-type", "", "quantization type for KV cache (default: f16)")
port := flag.Int("port", 8080, "Port to expose the server on")
threads := flag.Int("threads", runtime.NumCPU(), "Number of threads to use during generation")
verbose := flag.Bool("verbose", false, "verbose output (default: disabled)")
noMmap := flag.Bool("no-mmap", false, "do not memory-map model (slower load but may reduce pageouts if not using mlock)")
mlock := flag.Bool("mlock", false, "force system to keep model in RAM rather than swapping or compressing")
tensorSplit := flag.String("tensor-split", "", "fraction of the model to offload to each GPU, comma-separated list of proportions")
multiUserCache := flag.Bool("multiuser-cache", false, "optimize input cache algorithm for multiple users")
requirements := flag.Bool("requirements", false, "print json requirement information")
func Execute(args []string) error {
if args[0] == "runner" {
args = args[1:]
}
fs := flag.NewFlagSet("runner", flag.ExitOnError)
mpath := fs.String("model", "", "Path to model binary file")
ppath := fs.String("mmproj", "", "Path to projector binary file")
parallel := fs.Int("parallel", 1, "Number of sequences to handle simultaneously")
batchSize := fs.Int("batch-size", 512, "Batch size")
nGpuLayers := fs.Int("n-gpu-layers", 0, "Number of layers to offload to GPU")
mainGpu := fs.Int("main-gpu", 0, "Main GPU")
flashAttention := fs.Bool("flash-attn", false, "Enable flash attention")
kvSize := fs.Int("ctx-size", 2048, "Context (or KV cache) size")
kvCacheType := fs.String("kv-cache-type", "", "quantization type for KV cache (default: f16)")
port := fs.Int("port", 8080, "Port to expose the server on")
threads := fs.Int("threads", runtime.NumCPU(), "Number of threads to use during generation")
verbose := fs.Bool("verbose", false, "verbose output (default: disabled)")
noMmap := fs.Bool("no-mmap", false, "do not memory-map model (slower load but may reduce pageouts if not using mlock)")
mlock := fs.Bool("mlock", false, "force system to keep model in RAM rather than swapping or compressing")
tensorSplit := fs.String("tensor-split", "", "fraction of the model to offload to each GPU, comma-separated list of proportions")
multiUserCache := fs.Bool("multiuser-cache", false, "optimize input cache algorithm for multiple users")
var lpaths multiLPath
flag.Var(&lpaths, "lora", "Path to lora layer file (can be specified multiple times)")
fs.Var(&lpaths, "lora", "Path to lora layer file (can be specified multiple times)")
flag.Parse()
if *requirements {
printRequirements(os.Stdout)
return
fs.Usage = func() {
fmt.Fprintf(fs.Output(), "Runner usage\n")
fs.PrintDefaults()
}
if err := fs.Parse(args); err != nil {
return err
}
level := slog.LevelInfo
if *verbose {
@@ -983,7 +988,8 @@ func main() {
listener, err := net.Listen("tcp", addr)
if err != nil {
fmt.Println("Listen error:", err)
return
cancel()
return err
}
defer listener.Close()
@@ -999,7 +1005,9 @@ func main() {
log.Println("Server listening on", addr)
if err := httpServer.Serve(listener); err != nil {
log.Fatal("server error:", err)
return err
}
cancel()
return nil
}

View File

@@ -1,4 +1,4 @@
package main
package runner
import (
"strings"

View File

@@ -1,4 +1,4 @@
package main
package runner
import (
"reflect"