ollama/make/cuda.make
Daniel Hiltgen 4879a234c4
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.
2024-12-10 09:47:19 -08:00

55 lines
2.5 KiB
Makefile

# 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$(GPU_RUNNER_VARIANT)
GPU_RUNNER_DRIVER_LIB_LINK := -lcuda
GPU_RUNNER_LIBS_SHORT := cublas cudart cublasLt
ifeq ($(OS),windows)
# On windows, nvcc uses msvc which does not support avx512vbmi avx512vnni avx512bf16, but macros can turn them on
GPU_VECTOR_FLAGS=$(call uc,$(filter-out avx512bf16,$(filter-out avx512vnni,$(filter-out avx512vbmi,$(GPU_RUNNER_CPU_FLAGS)))))
GPU_COMPILER_EXTRA_FLAGS=$(if $(filter avx512vbmi,$(GPU_RUNNER_CPU_FLAGS)),-D__AVX512VBMI__)
GPU_COMPILER_EXTRA_FLAGS+=$(if $(filter avx512vnni,$(GPU_RUNNER_CPU_FLAGS)),-D__AVX512VNNI__)
GPU_COMPILER_EXTRA_FLAGS+=$(if $(filter avx512bf16,$(GPU_RUNNER_CPU_FLAGS)),-D__AVX512BF16__)
GPU_LIBS = $(sort $(wildcard $(addsuffix *.$(SHARED_EXT),$(addprefix $(GPU_LIB_DIR)/$(SHARED_PREFIX),$(GPU_RUNNER_LIBS_SHORT)))))
GPU_COMPILER_CFLAGS = $(CFLAGS) -D_WIN32_WINNT=0x602
GPU_COMPILER_CXXFLAGS = $(CXXFLAGS) -D_WIN32_WINNT=0x602
else ifeq ($(OS),linux)
# On linux, nvcc requires avx512 -> -mavx512f -mavx512dq -mavx512bw
GPU_VECTOR_FLAGS=$(if $(filter avx512,$(GPU_RUNNER_CPU_FLAGS)),avx512f avx512dq avx512bw) $(filter-out avx512,$(GPU_RUNNER_CPU_FLAGS))
GPU_COMPILER_EXTRA_FLAGS = -fPIC -Wno-unused-function -std=c++11
GPU_LIBS = $(sort $(wildcard $(addsuffix *.$(SHARED_EXT).*,$(addprefix $(GPU_LIB_DIR)/$(SHARED_PREFIX),$(GPU_RUNNER_LIBS_SHORT)))))
GPU_COMPILER_CFLAGS = $(CFLAGS) -Xcompiler -fPIC -D_GNU_SOURCE
GPU_COMPILER_CXXFLAGS = $(CXXFLAGS) -Xcompiler -fPIC -D_GNU_SOURCE
endif
GPU_DIST_LIB_DEPS= $(sort $(addprefix $(DIST_GPU_RUNNER_DEPS_DIR)/,$(notdir $(GPU_LIBS))))
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 = \
$(GPU_COMPILER_EXTRA_FLAGS) \
-Xcompiler "$(addprefix $(CPU_FLAG_PREFIX),$(GPU_VECTOR_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./llama/ \
-O3