diff --git a/.gitignore b/.gitignore index 3fcc055cddae5..043cbe7fbfebb 100644 --- a/.gitignore +++ b/.gitignore @@ -81,12 +81,12 @@ tests/test-tokenizer-0 koboldcpp.so koboldcpp_failsafe.so koboldcpp_openblas.so -koboldcpp_openblas_noavx2.so +koboldcpp_noavx2.so koboldcpp_clblast.so koboldcpp.dll koboldcpp_failsafe.dll koboldcpp_openblas.dll -koboldcpp_openblas_noavx2.dll +koboldcpp_noavx2.dll koboldcpp_clblast.dll koboldcpp_cublas.dll cublas64_11.dll diff --git a/CMakeLists.txt b/CMakeLists.txt index 173e2c1196ac1..576fc004603ec 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -43,11 +43,12 @@ if (NOT MSVC) endif() # 3rd party libs -option(LLAMA_CUBLAS "llama: use cuBLAS" OFF) +option(LLAMA_CUBLAS "llama: use CUDA" OFF) +set(LLAMA_CUDA_MMQ_Y "64" CACHE STRING "llama: y tile size for mmq CUDA kernels") set(LLAMA_CUDA_DMMV_X "32" CACHE STRING "llama: x stride for dmmv CUDA kernels") set(LLAMA_CUDA_DMMV_Y "1" CACHE STRING "llama: y block size for dmmv CUDA kernels") set(LLAMA_CUDA_MMV_Y "1" CACHE STRING "llama: y block size for mmv CUDA kernels") -option(LLAMA_CUDA_DMMV_F16 "llama: use 16 bit floats for dmmv CUDA kernels" OFF) +option(LLAMA_CUDA_F16 "llama: use 16 bit floats for dmmv CUDA kernels" OFF) set(LLAMA_CUDA_KQUANTS_ITER "2" CACHE STRING "llama: iters./thread per block for Q2_K/Q6_K") option(LLAMA_HIPBLAS "llama: use hipBLAS" ON) option(LLAMA_K_QUANTS "llama: use k-quants" ON) @@ -80,13 +81,15 @@ if (LLAMA_CUBLAS) set(GGML_V2_LEGACY_CUDA_SOURCES otherarch/ggml_v2-cuda-legacy.cu otherarch/ggml_v2-cuda-legacy.h) add_compile_definitions(GGML_USE_CUBLAS) + #add_compile_definitions(GGML_CUDA_CUBLAS) #remove to not use cublas + add_compile_definitions(GGML_CUDA_MMQ_Y=${LLAMA_CUDA_MMQ_Y}) #add_compile_definitions(GGML_CUDA_FORCE_DMMV) #non dmmv broken for me add_compile_definitions(GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X}) add_compile_definitions(GGML_CUDA_DMMV_Y=${LLAMA_CUDA_DMMV_Y}) add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y}) - if (LLAMA_CUDA_DMMV_F16) - add_compile_definitions(GGML_CUDA_DMMV_F16) + if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16) + add_compile_definitions(GGML_CUDA_F16) endif() add_compile_definitions(K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER}) @@ -97,10 +100,14 @@ if (LLAMA_CUBLAS) endif() if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES) - if (LLAMA_CUDA_DMMV_F16) - set(CMAKE_CUDA_ARCHITECTURES "60;61") # needed for f16 CUDA intrinsics + # 52 == lowest CUDA 12 standard + # 60 == f16 CUDA intrinsics + # 61 == integer CUDA intrinsics + # 70 == (assumed) compute capability at which unrolling a loop in mul_mat_q kernels is faster + if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16) + set(CMAKE_CUDA_ARCHITECTURES "60;61;70") # needed for f16 CUDA intrinsics else() - set(CMAKE_CUDA_ARCHITECTURES "37;52;61") # lowest CUDA 12 standard + lowest for integer intrinsics + set(CMAKE_CUDA_ARCHITECTURES "37;52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics endif() endif() message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}") @@ -153,6 +160,7 @@ if (LLAMA_ALL_WARNINGS) -Wshadow -Wstrict-prototypes -Wpointer-arith + -Wmissing-prototypes ) set(cxx_flags -Wall @@ -292,6 +300,8 @@ endif() add_library(ggml OBJECT ggml.c ggml.h + ggml-alloc.c + ggml-alloc.h k_quants.h k_quants.c ${GGML_SOURCES_CUDA}) diff --git a/Makefile b/Makefile index 397a0c29a9046..428899d535c07 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -default: koboldcpp koboldcpp_failsafe koboldcpp_openblas koboldcpp_openblas_noavx2 koboldcpp_clblast koboldcpp_cublas +default: koboldcpp koboldcpp_failsafe koboldcpp_openblas koboldcpp_noavx2 koboldcpp_clblast koboldcpp_cublas tools: quantize_gpt2 quantize_gptj quantize_llama quantize_neox quantize_mpt dev: koboldcpp_openblas dev2: koboldcpp_clblast @@ -40,7 +40,7 @@ endif # keep standard at C11 and C++11 CFLAGS = -I. -I./include -I./include/CL -I./otherarch -I./otherarch/tools -Ofast -DNDEBUG -std=c11 -fPIC -DGGML_USE_K_QUANTS -CXXFLAGS = -I. -I./examples -I./include -I./include/CL -I./otherarch -I./otherarch/tools -O3 -DNDEBUG -std=c++11 -fPIC -DGGML_USE_K_QUANTS +CXXFLAGS = -I. -I./examples -I./include -I./include/CL -I./otherarch -I./otherarch/tools -Ofast -DNDEBUG -std=c++11 -fPIC -DGGML_USE_K_QUANTS LDFLAGS = # these are used on windows, to build some libraries with extra old device compatibility @@ -163,20 +163,34 @@ else ifdef LLAMA_CUDA_DMMV_Y else NVCCFLAGS += -DGGML_CUDA_MMV_Y=1 endif # LLAMA_CUDA_MMV_Y +ifdef LLAMA_CUDA_F16 + NVCCFLAGS += -DGGML_CUDA_F16 +endif # LLAMA_CUDA_F16 ifdef LLAMA_CUDA_DMMV_F16 - NVCCFLAGS += -DGGML_CUDA_DMMV_F16 + NVCCFLAGS += -DGGML_CUDA_F16 endif # LLAMA_CUDA_DMMV_F16 ifdef LLAMA_CUDA_KQUANTS_ITER NVCCFLAGS += -DK_QUANTS_PER_ITERATION=$(LLAMA_CUDA_KQUANTS_ITER) else NVCCFLAGS += -DK_QUANTS_PER_ITERATION=2 endif +ifdef LLAMA_CUDA_MMQ_Y + NVCCFLAGS += -DGGML_CUDA_MMQ_Y=$(LLAMA_CUDA_MMQ_Y) +else + NVCCFLAGS += -DGGML_CUDA_MMQ_Y=64 +endif # LLAMA_CUDA_MMQ_Y +#ifdef LLAMA_CUDA_CUBLAS +# NVCCFLAGS += -DGGML_CUDA_CUBLAS +#endif # LLAMA_CUDA_CUBLAS +ifdef LLAMA_CUDA_CCBIN + NVCCFLAGS += -ccbin $(LLAMA_CUDA_CCBIN) +endif ggml-cuda.o: ggml-cuda.cu ggml-cuda.h - $(NVCC) $(NVCCFLAGS) $(CXXFLAGS) $(CUBLAS_FLAGS) $(CUBLAS_CXXFLAGS) -Wno-pedantic -c $< -o $@ + $(NVCC) $(NVCCFLAGS) $(subst -Ofast,-O3,$(CXXFLAGS)) $(CUBLAS_FLAGS) $(CUBLAS_CXXFLAGS) -Wno-pedantic -c $< -o $@ ggml_v2-cuda.o: otherarch/ggml_v2-cuda.cu otherarch/ggml_v2-cuda.h - $(NVCC) $(NVCCFLAGS) $(CXXFLAGS) $(CUBLAS_FLAGS) $(CUBLAS_CXXFLAGS) -Wno-pedantic -c $< -o $@ + $(NVCC) $(NVCCFLAGS) $(subst -Ofast,-O3,$(CXXFLAGS)) $(CUBLAS_FLAGS) $(CUBLAS_CXXFLAGS) -Wno-pedantic -c $< -o $@ ggml_v2-cuda-legacy.o: otherarch/ggml_v2-cuda-legacy.cu otherarch/ggml_v2-cuda-legacy.h - $(NVCC) $(NVCCFLAGS) $(CXXFLAGS) $(CUBLAS_FLAGS) $(CUBLAS_CXXFLAGS) -Wno-pedantic -c $< -o $@ + $(NVCC) $(NVCCFLAGS) $(subst -Ofast,-O3,$(CXXFLAGS)) $(CUBLAS_FLAGS) $(CUBLAS_CXXFLAGS) -Wno-pedantic -c $< -o $@ endif # LLAMA_CUBLAS ifdef LLAMA_HIPBLAS @@ -249,7 +263,7 @@ CXXV := $(shell $(CXX) --version | head -n 1) DEFAULT_BUILD = FAILSAFE_BUILD = OPENBLAS_BUILD = -OPENBLAS_NOAVX2_BUILD = +NOAVX2_BUILD = CLBLAST_BUILD = CUBLAS_BUILD = HIPBLAS_BUILD = @@ -258,7 +272,7 @@ ifeq ($(OS),Windows_NT) DEFAULT_BUILD = $(CXX) $(CXXFLAGS) $^ -shared -o $@.dll $(LDFLAGS) FAILSAFE_BUILD = $(CXX) $(CXXFLAGS) $^ -shared -o $@.dll $(LDFLAGS) OPENBLAS_BUILD = $(CXX) $(CXXFLAGS) $^ lib/libopenblas.lib -shared -o $@.dll $(LDFLAGS) - OPENBLAS_NOAVX2_BUILD = $(CXX) $(CXXFLAGS) $^ lib/libopenblas.lib -shared -o $@.dll $(LDFLAGS) + NOAVX2_BUILD = $(CXX) $(CXXFLAGS) $^ -shared -o $@.dll $(LDFLAGS) CLBLAST_BUILD = $(CXX) $(CXXFLAGS) $^ lib/OpenCL.lib lib/clblast.lib -shared -o $@.dll $(LDFLAGS) ifdef LLAMA_CUBLAS @@ -272,7 +286,7 @@ else FAILSAFE_BUILD = $(CXX) $(CXXFLAGS) $^ -shared -o $@.so $(LDFLAGS) ifdef LLAMA_OPENBLAS OPENBLAS_BUILD = $(CXX) $(CXXFLAGS) $^ $(ARCH_ADD) -lopenblas -shared -o $@.so $(LDFLAGS) - OPENBLAS_NOAVX2_BUILD = $(CXX) $(CXXFLAGS) $^ $(ARCH_ADD) -lopenblas -shared -o $@.so $(LDFLAGS) + NOAVX2_BUILD = $(CXX) $(CXXFLAGS) $^ $(ARCH_ADD) -lopenblas -shared -o $@.so $(LDFLAGS) endif ifdef LLAMA_CLBLAST ifeq ($(UNAME_S),Darwin) @@ -327,8 +341,8 @@ ggml_openblas.o: ggml.c ggml.h $(CC) $(CFLAGS) $(FULLCFLAGS) $(OPENBLAS_FLAGS) -c $< -o $@ ggml_failsafe.o: ggml.c ggml.h $(CC) $(CFLAGS) $(NONECFLAGS) -c $< -o $@ -ggml_openblas_noavx2.o: ggml.c ggml.h - $(CC) $(CFLAGS) $(SIMPLECFLAGS) $(OPENBLAS_FLAGS) -c $< -o $@ +ggml_noavx2.o: ggml.c ggml.h + $(CC) $(CFLAGS) $(SIMPLECFLAGS) -c $< -o $@ ggml_clblast.o: ggml.c ggml.h $(CC) $(CFLAGS) $(FULLCFLAGS) $(CLBLAST_FLAGS) -c $< -o $@ ggml_cublas.o: ggml.c ggml.h @@ -342,6 +356,10 @@ k_quants_noavx2.o: k_quants.c k_quants.h ggml.h ggml-cuda.h k_quants_failsafe.o: k_quants.c k_quants.h ggml.h ggml-cuda.h $(CC) $(CFLAGS) $(NONECFLAGS) -c $< -o $@ +#there's no intrinsics or special gpu ops used here, so we can have a universal object +ggml-alloc.o: ggml-alloc.c ggml.h ggml-alloc.h + $(CC) $(CFLAGS) -c $< -o $@ + #version 2 libs ggml_v2.o: otherarch/ggml_v2.c otherarch/ggml_v2.h $(CC) $(CFLAGS) $(FULLCFLAGS) -c $< -o $@ @@ -349,8 +367,8 @@ ggml_v2_openblas.o: otherarch/ggml_v2.c otherarch/ggml_v2.h $(CC) $(CFLAGS) $(FULLCFLAGS) $(OPENBLAS_FLAGS) -c $< -o $@ ggml_v2_failsafe.o: otherarch/ggml_v2.c otherarch/ggml_v2.h $(CC) $(CFLAGS) $(NONECFLAGS) -c $< -o $@ -ggml_v2_openblas_noavx2.o: otherarch/ggml_v2.c otherarch/ggml_v2.h - $(CC) $(CFLAGS) $(SIMPLECFLAGS) $(OPENBLAS_FLAGS) -c $< -o $@ +ggml_v2_noavx2.o: otherarch/ggml_v2.c otherarch/ggml_v2.h + $(CC) $(CFLAGS) $(SIMPLECFLAGS) -c $< -o $@ ggml_v2_clblast.o: otherarch/ggml_v2.c otherarch/ggml_v2.h $(CC) $(CFLAGS) $(FULLCFLAGS) $(CLBLAST_FLAGS) -c $< -o $@ ggml_v2_cublas.o: otherarch/ggml_v2.c otherarch/ggml_v2.h @@ -371,10 +389,12 @@ ggml_v2-opencl-legacy.o: otherarch/ggml_v2-opencl-legacy.c otherarch/ggml_v2-ope $(CC) $(CFLAGS) -c $< -o $@ # intermediate objects -llama.o: llama.cpp ggml.h ggml-cuda.h llama.h llama-util.h +llama.o: llama.cpp ggml.h ggml-alloc.h ggml-cuda.h ggml-metal.h llama.h llama-util.h $(CXX) $(CXXFLAGS) -c $< -o $@ common.o: examples/common.cpp examples/common.h $(CXX) $(CXXFLAGS) -c $< -o $@ +console.o: examples/console.cpp examples/console.h + $(CXX) $(CXXFLAGS) -c $< -o $@ grammar-parser.o: examples/grammar-parser.cpp examples/grammar-parser.h $(CXX) $(CXXFLAGS) -c $< -o $@ expose.o: expose.cpp expose.h @@ -392,37 +412,37 @@ gpttype_adapter_cublas.o: $(GPTTYPE_ADAPTER) $(CXX) $(CXXFLAGS) $(CUBLAS_FLAGS) $(HIPFLAGS) -c $< -o $@ clean: - rm -vf *.o main quantize_llama quantize_gpt2 quantize_gptj quantize_neox quantize_mpt quantize-stats perplexity embedding benchmark-matmult save-load-state main.exe quantize_llama.exe quantize_gptj.exe quantize_gpt2.exe quantize_neox.exe quantize_mpt.exe koboldcpp.dll koboldcpp_openblas.dll koboldcpp_failsafe.dll koboldcpp_openblas_noavx2.dll koboldcpp_clblast.dll koboldcpp_cublas.dll koboldcpp.so koboldcpp_openblas.so koboldcpp_failsafe.so koboldcpp_openblas_noavx2.so koboldcpp_clblast.so koboldcpp_cublas.so + rm -vf *.o main quantize_llama quantize_gpt2 quantize_gptj quantize_neox quantize_mpt quantize-stats perplexity embedding benchmark-matmult save-load-state main.exe quantize_llama.exe quantize_gptj.exe quantize_gpt2.exe quantize_neox.exe quantize_mpt.exe koboldcpp.dll koboldcpp_openblas.dll koboldcpp_failsafe.dll koboldcpp_noavx2.dll koboldcpp_clblast.dll koboldcpp_cublas.dll koboldcpp.so koboldcpp_openblas.so koboldcpp_failsafe.so koboldcpp_noavx2.so koboldcpp_clblast.so koboldcpp_cublas.so -main: examples/main/main.cpp build-info.h ggml.o k_quants.o llama.o common.o grammar-parser.o $(OBJS) +main: examples/main/main.cpp build-info.h ggml.o k_quants.o ggml-alloc.o llama.o common.o console.o grammar-parser.o $(OBJS) $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) @echo @echo '==== Run ./main -h for help. ====' @echo #generated libraries -koboldcpp: ggml.o ggml_v2.o ggml_v1.o expose.o common.o gpttype_adapter.o k_quants.o $(OBJS) +koboldcpp: ggml.o ggml_v2.o ggml_v1.o expose.o common.o gpttype_adapter.o k_quants.o ggml-alloc.o $(OBJS) $(DEFAULT_BUILD) -koboldcpp_openblas: ggml_openblas.o ggml_v2_openblas.o ggml_v1.o expose.o common.o gpttype_adapter.o k_quants.o $(OBJS) +koboldcpp_openblas: ggml_openblas.o ggml_v2_openblas.o ggml_v1.o expose.o common.o gpttype_adapter.o k_quants.o ggml-alloc.o $(OBJS) $(OPENBLAS_BUILD) -koboldcpp_failsafe: ggml_failsafe.o ggml_v2_failsafe.o ggml_v1_failsafe.o expose.o common.o gpttype_adapter_failsafe.o k_quants_failsafe.o $(OBJS) +koboldcpp_failsafe: ggml_failsafe.o ggml_v2_failsafe.o ggml_v1_failsafe.o expose.o common.o gpttype_adapter_failsafe.o k_quants_failsafe.o ggml-alloc.o $(OBJS) $(FAILSAFE_BUILD) -koboldcpp_openblas_noavx2: ggml_openblas_noavx2.o ggml_v2_openblas_noavx2.o ggml_v1_failsafe.o expose.o common.o gpttype_adapter_failsafe.o k_quants_noavx2.o $(OBJS) - $(OPENBLAS_NOAVX2_BUILD) -koboldcpp_clblast: ggml_clblast.o ggml_v2_clblast.o ggml_v1.o expose.o common.o gpttype_adapter_clblast.o ggml-opencl.o ggml_v2-opencl.o ggml_v2-opencl-legacy.o k_quants.o $(OBJS) +koboldcpp_noavx2: ggml_noavx2.o ggml_v2_noavx2.o ggml_v1_failsafe.o expose.o common.o gpttype_adapter_failsafe.o k_quants_noavx2.o ggml-alloc.o $(OBJS) + $(NOAVX2_BUILD) +koboldcpp_clblast: ggml_clblast.o ggml_v2_clblast.o ggml_v1.o expose.o common.o gpttype_adapter_clblast.o ggml-opencl.o ggml_v2-opencl.o ggml_v2-opencl-legacy.o k_quants.o ggml-alloc.o $(OBJS) $(CLBLAST_BUILD) -koboldcpp_cublas: ggml_cublas.o ggml_v2_cublas.o ggml_v1.o expose.o common.o gpttype_adapter_cublas.o k_quants.o $(CUBLAS_OBJS) $(HIP_OBJS) $(OBJS) +koboldcpp_cublas: ggml_cublas.o ggml_v2_cublas.o ggml_v1.o expose.o common.o gpttype_adapter_cublas.o k_quants.o ggml-alloc.o $(CUBLAS_OBJS) $(HIP_OBJS) $(OBJS) $(CUBLAS_BUILD) $(HIPBLAS_BUILD) -quantize_llama: examples/quantize/quantize.cpp ggml.o llama.o k_quants.o +quantize_llama: examples/quantize/quantize.cpp ggml.o llama.o k_quants.o ggml-alloc.o $(CXX) $(CXXFLAGS) $^ -o $@ $(LDFLAGS) -quantize_gptj: ggml.o llama.o k_quants.o otherarch/tools/gptj_quantize.cpp otherarch/tools/common-ggml.cpp +quantize_gptj: ggml.o llama.o k_quants.o ggml-alloc.o otherarch/tools/gptj_quantize.cpp otherarch/tools/common-ggml.cpp $(CXX) $(CXXFLAGS) $^ -o $@ $(LDFLAGS) -quantize_gpt2: ggml.o llama.o k_quants.o otherarch/tools/gpt2_quantize.cpp otherarch/tools/common-ggml.cpp +quantize_gpt2: ggml.o llama.o k_quants.o ggml-alloc.o otherarch/tools/gpt2_quantize.cpp otherarch/tools/common-ggml.cpp $(CXX) $(CXXFLAGS) $^ -o $@ $(LDFLAGS) -quantize_neox: ggml.o llama.o k_quants.o otherarch/tools/neox_quantize.cpp otherarch/tools/common-ggml.cpp +quantize_neox: ggml.o llama.o k_quants.o ggml-alloc.o otherarch/tools/neox_quantize.cpp otherarch/tools/common-ggml.cpp $(CXX) $(CXXFLAGS) $^ -o $@ $(LDFLAGS) -quantize_mpt: ggml.o llama.o k_quants.o otherarch/tools/mpt_quantize.cpp otherarch/tools/common-ggml.cpp +quantize_mpt: ggml.o llama.o k_quants.o ggml-alloc.o otherarch/tools/mpt_quantize.cpp otherarch/tools/common-ggml.cpp $(CXX) $(CXXFLAGS) $^ -o $@ $(LDFLAGS) diff --git a/convert.py b/convert.py old mode 100755 new mode 100644 index ac99579c49eb2..f3bf1798089cc --- a/convert.py +++ b/convert.py @@ -133,7 +133,7 @@ def make_tensors_list() -> List[str]: def find_n_mult(n_ff: int, n_embd: int) -> int: # hardcoded magic range - for n_mult in range(256, 1, -1): + for n_mult in range(8192, 1, -1): calc_ff = (((8*n_embd) // 3 + n_mult - 1) // n_mult)*n_mult if calc_ff == n_ff: return n_mult @@ -141,11 +141,12 @@ def find_n_mult(n_ff: int, n_embd: int) -> int: @dataclass class Params: - n_vocab: int - n_embd: int - n_mult: int - n_head: int - n_layer: int + n_vocab: int + n_embd: int + n_mult: int + n_head: int + n_layer: int + n_kv_head: Optional[int] # This parameter is only used for Llama 2 @staticmethod def guessed(model: 'LazyModel') -> 'Params': @@ -167,11 +168,12 @@ def guessed(model: 'LazyModel') -> 'Params': n_head=n_embd // 128 # guessed return Params( - n_vocab = n_vocab, - n_embd = n_embd, - n_mult = 256, - n_head = n_head, - n_layer = n_layer, + n_vocab = n_vocab, + n_embd = n_embd, + n_mult = 256, + n_head = n_head, + n_layer = n_layer, + n_kv_head = None, ) @staticmethod @@ -183,15 +185,17 @@ def loadHFTransformerJson(model: 'LazyModel', config_path: 'Path') -> 'Params': n_head = config["num_attention_heads"]; n_layer = config["num_hidden_layers"]; n_ff = config["intermediate_size"]; + n_kv_head = config.get("num_key_value_heads") n_mult = find_n_mult(n_ff, n_embd); return Params( - n_vocab = n_vocab, - n_embd = n_embd, - n_mult = n_mult, - n_head = n_head, - n_layer = n_layer, + n_vocab = n_vocab, + n_embd = n_embd, + n_mult = n_mult, + n_head = n_head, + n_layer = n_layer, + n_kv_head = n_kv_head, ) # LLaMA v2 70B params.json @@ -200,21 +204,22 @@ def loadHFTransformerJson(model: 'LazyModel', config_path: 'Path') -> 'Params': def loadOriginalParamsJson(model: 'LazyModel', config_path: 'Path') -> 'Params': config = json.load(open(config_path)) - n_vocab = config["vocab_size"]; - n_embd = config["dim"]; - n_head = config["n_heads"]; - n_layer = config["n_layers"]; - n_mult = config["multiple_of"]; + n_vocab = config["vocab_size"]; + n_embd = config["dim"]; + n_head = config["n_heads"]; + n_layer = config["n_layers"]; + n_mult = config["multiple_of"]; if n_vocab == -1: n_vocab = model["tok_embeddings.weight"].shape[0] return Params( - n_vocab = n_vocab, - n_embd = n_embd, - n_mult = n_mult, - n_head = n_head, - n_layer = n_layer, + n_vocab = n_vocab, + n_embd = n_embd, + n_mult = n_mult, + n_head = n_head, + n_layer = n_layer, + n_kv_head = None, ) @staticmethod @@ -317,10 +322,12 @@ def __repr__(self) -> str: Vocab = Union[SentencePieceVocab, GGMLVocab] -def permute(weights: NDArray, n_head: int) -> NDArray: +def permute(weights: NDArray, n_head: int, n_kv_head: Optional[int] = None) -> NDArray: + if n_kv_head is not None and n_head != n_kv_head: + n_head //= n_kv_head return (weights.reshape(n_head, 2, weights.shape[0] // n_head // 2, *weights.shape[1:]) - .swapaxes(1, 2) - .reshape(weights.shape)) + .swapaxes(1, 2) + .reshape(weights.shape)) def dequantize_q4(qvalues_pack32: NDArray, scales: NDArray, addends: Optional[NDArray], g_idx: Optional[NDArray]) -> NDArray: @@ -368,7 +375,7 @@ class Tensor(metaclass=ABCMeta): @abstractmethod def astype(self, data_type: DataType) -> 'Tensor': ... @abstractmethod - def permute(self, n_head: int) -> 'Tensor': ... + def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> 'Tensor': ... @abstractmethod def permute_part(self, n_part: int, n_head: int) -> 'UnquantizedTensor': ... @abstractmethod @@ -406,8 +413,8 @@ def part(self, n_part: int) -> 'UnquantizedTensor': r = self.ndarray.shape[0] // 3 return UnquantizedTensor(self.ndarray[r * n_part : r * n_part + r, ...]) - def permute(self, n_head: int) -> 'UnquantizedTensor': - return UnquantizedTensor(permute(self.ndarray, n_head)) + def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> 'UnquantizedTensor': + return UnquantizedTensor(permute(self.ndarray, n_head, n_kv_head)) def load_unquantized(lazy_tensor: 'LazyTensor', expected_dtype: Any = None, convert: bool = False) -> NDArray: @@ -455,26 +462,34 @@ def astype(self, data_type: DataType) -> Tensor: def to_ggml(self) -> 'GGMLQuantizedTensor': return self - def permute(self, n_head: int) -> 'GGMLQuantizedTensor': - return GGMLQuantizedTensor(permute(self.ndarray, n_head), self.shape, self.data_type) + def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> 'GGMLQuantizedTensor': + return GGMLQuantizedTensor(permute(self.ndarray, n_head, n_kv_head), self.shape, self.data_type) + + def permute_part(self, n_part: int, n_head: int) -> 'UnquantizedTensor': + r = self.ndarray.shape[0] // 3 + return UnquantizedTensor(permute(self.ndarray[r * n_part : r * n_part + r, ...], n_head)) + def part(self, n_part: int) -> 'UnquantizedTensor': + r = self.ndarray.shape[0] // 3 + return UnquantizedTensor(self.ndarray[r * n_part : r * n_part + r, ...]) GGMLCompatibleTensor = Union[UnquantizedTensor, GGMLQuantizedTensor] class DeferredPermutedTensor(Tensor): - def __init__(self, base: Tensor, n_head: int) -> None: + def __init__(self, base: Tensor, n_head: int, n_kv_head: Optional[int] = None) -> None: self.base = base self.n_head = n_head + self.n_kv_head = n_kv_head self.data_type = self.base.data_type def astype(self, data_type: DataType) -> Tensor: - return self.base.astype(data_type).permute(self.n_head) + return self.base.astype(data_type).permute(self.n_head, self.n_kv_head) def to_ggml(self) -> GGMLCompatibleTensor: - return self.base.to_ggml().permute(self.n_head) + return self.base.to_ggml().permute(self.n_head, self.n_kv_head) - def permute(self, n_head: int) -> Tensor: + def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> Tensor: raise Exception("shouldn't permute twice") @@ -566,8 +581,8 @@ def regroup(self, new_groupsize: int = 32) -> 'GPTQForLLaMaQuantizedTensor': ret.data_type = QuantizedDataType(groupsize=new_groupsize, have_addends=True, have_g_idx=False) return ret - def permute(self, n_head: int) -> Tensor: - return DeferredPermutedTensor(self, n_head) + def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> Tensor: + return DeferredPermutedTensor(self, n_head, n_kv_head) def to_ggml(self) -> GGMLQuantizedTensor: # The output format looks like this: @@ -698,10 +713,10 @@ def merge_multifile_models(models_plus: List[ModelPlus]) -> ModelPlus: return ModelPlus(model, paths, format, vocab) -def permute_lazy(lazy_tensor: LazyTensor, n_head: int) -> LazyTensor: +def permute_lazy(lazy_tensor: LazyTensor, n_head: int, n_kv_head: Optional[int] = None) -> LazyTensor: def load() -> Tensor: - return lazy_tensor.load().permute(n_head) - return LazyTensor(load, lazy_tensor.shape, lazy_tensor.data_type, f'permute({n_head}) ' + lazy_tensor.description) + return lazy_tensor.load().permute(n_head, n_kv_head) + return LazyTensor(load, lazy_tensor.shape, lazy_tensor.data_type, f'permute({n_head}, {n_kv_head}) ' + lazy_tensor.description) def permute_part_lazy(lazy_tensor: LazyTensor, n_part: int, n_head: int) -> LazyTensor: def load() -> Tensor: @@ -726,7 +741,7 @@ def convert_transformers_to_orig(model: LazyModel, params: Params) -> LazyModel: for i in itertools.count(): if f"model.layers.{i}.self_attn.q_proj.weight" in model: out[f"layers.{i}.attention.wq.weight"] = permute_lazy(model[f"model.layers.{i}.self_attn.q_proj.weight"], params.n_head) - out[f"layers.{i}.attention.wk.weight"] = permute_lazy(model[f"model.layers.{i}.self_attn.k_proj.weight"], params.n_head) + out[f"layers.{i}.attention.wk.weight"] = permute_lazy(model[f"model.layers.{i}.self_attn.k_proj.weight"], params.n_head, params.n_kv_head) out[f"layers.{i}.attention.wv.weight"] = model[f"model.layers.{i}.self_attn.v_proj.weight"] elif f"model.layers.{i}.self_attn.W_pack.weight" in model: out[f"layers.{i}.attention.wq.weight"] = permute_part_lazy(model[f"model.layers.{i}.self_attn.W_pack.weight"], 0, params.n_head) diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt index 4b1f1cf44aaa1..a7b26776ad355 100644 --- a/examples/CMakeLists.txt +++ b/examples/CMakeLists.txt @@ -13,6 +13,8 @@ set(TARGET common) add_library(${TARGET} OBJECT common.h common.cpp + console.h + console.cpp grammar-parser.h grammar-parser.cpp ) diff --git a/examples/common.cpp b/examples/common.cpp index dd964c8a7481a..21f4a0357d422 100644 --- a/examples/common.cpp +++ b/examples/common.cpp @@ -25,7 +25,6 @@ #else #include #include -#include #endif #if defined(_MSC_VER) @@ -329,6 +328,8 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) { params.instruct = true; } else if (arg == "--multiline-input") { params.multiline_input = true; + } else if (arg == "--simple-io") { + params.simple_io = true; } else if (arg == "--color") { params.use_color = true; } else if (arg == "--mlock") { @@ -352,7 +353,7 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) { #ifdef GGML_USE_CUBLAS params.main_gpu = std::stoi(argv[i]); #else - fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a main GPU.\n"); + fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a main GPU.\n"); #endif } else if (arg == "--tensor-split" || arg == "-ts") { if (++i >= argc) { @@ -376,13 +377,19 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) { } } #else - fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a tensor split.\n"); + fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a tensor split.\n"); +#endif // GGML_USE_CUBLAS + } else if (arg == "--mul-mat-q" || arg == "-mmq") { +#ifdef GGML_USE_CUBLAS + params.mul_mat_q = true; +#else + fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to use mul_mat_q kernels.\n"); #endif // GGML_USE_CUBLAS } else if (arg == "--low-vram" || arg == "-lv") { #ifdef GGML_USE_CUBLAS params.low_vram = true; #else - fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set lower vram usage.\n"); + fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set lower vram usage.\n"); #endif // GGML_USE_CUBLAS } else if (arg == "--no-mmap") { params.use_mmap = false; @@ -402,8 +409,14 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) { params.antiprompt.push_back(argv[i]); } else if (arg == "--perplexity") { params.perplexity = true; - } else if (arg == "--perplexity-lines") { - params.perplexity_lines = true; + } else if (arg == "--hellaswag") { + params.hellaswag = true; + } else if (arg == "--hellaswag-tasks") { + if (++i >= argc) { + invalid_param = true; + break; + } + params.hellaswag_tasks = std::stoi(argv[i]); } else if (arg == "--ignore-eos") { params.logit_bias[llama_token_eos()] = -INFINITY; } else if (arg == "--no-penalize-nl") { @@ -559,8 +572,9 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) { fprintf(stdout, " not recommended: doubles context memory required and no measurable increase in quality\n"); fprintf(stdout, " --temp N temperature (default: %.1f)\n", (double)params.temp); fprintf(stdout, " --perplexity compute perplexity over each ctx window of the prompt\n"); - fprintf(stdout, " --perplexity-lines compute perplexity over each line of the prompt\n"); - fprintf(stdout, " --keep number of tokens to keep from the initial prompt (default: %d, -1 = all)\n", params.n_keep); + fprintf(stdout, " --hellaswag compute HellaSwag score over random tasks from datafile supplied with -f\n"); + fprintf(stdout, " --hellaswag-tasks N number of tasks to use when computing the HellaSwag score (default: %zu)\n", params.hellaswag_tasks); + fprintf(stdout, " --keep N number of tokens to keep from the initial prompt (default: %d, -1 = all)\n", params.n_keep); fprintf(stdout, " --chunks N max number of chunks to process (default: %d, -1 = all)\n", params.n_chunks); if (llama_mlock_supported()) { fprintf(stdout, " --mlock force system to keep model in RAM rather than swapping or compressing\n"); @@ -578,10 +592,14 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) { fprintf(stdout, " how to split tensors across multiple GPUs, comma-separated list of proportions, e.g. 3,1\n"); fprintf(stdout, " -mg i, --main-gpu i the GPU to use for scratch and small tensors\n" ); fprintf(stdout, " -lv, --low-vram don't allocate VRAM scratch buffer\n" ); + fprintf(stdout, " -mmq, --mul-mat-q use experimental mul_mat_q CUDA kernels instead of cuBLAS. TEMP!!!\n" ); + fprintf(stdout, " Reduces VRAM usage by 700/970/1430 MiB for 7b/13b/33b but prompt processing speed\n" ); + fprintf(stdout, " is still suboptimal, especially q2_K, q3_K, q5_K, and q6_K.\n" ); #endif fprintf(stdout, " --mtest compute maximum memory usage\n"); fprintf(stdout, " --export export the computation graph to 'llama.ggml'\n"); fprintf(stdout, " --verbose-prompt print prompt before generation\n"); + fprintf(stderr, " --simple-io use basic IO for better compatibility in subprocesses and limited consoles\n"); fprintf(stdout, " --lora FNAME apply LoRA adapter (implies --no-mmap)\n"); fprintf(stdout, " --lora-base FNAME optional model to use as a base for the layers modified by the LoRA adapter\n"); fprintf(stdout, " -m FNAME, --model FNAME\n"); @@ -630,6 +648,7 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param lparams.main_gpu = params.main_gpu; lparams.tensor_split = params.tensor_split; lparams.low_vram = params.low_vram; + lparams.mul_mat_q = params.mul_mat_q; lparams.seed = params.seed; lparams.f16_kv = params.memory_f16; lparams.use_mmap = params.use_mmap; @@ -673,376 +692,3 @@ std::tuple llama_init_from_gpt_par return std::make_tuple(model, lctx); } - -void console_init(console_state & con_st) { -#if defined(_WIN32) - // Windows-specific console initialization - DWORD dwMode = 0; - con_st.hConsole = GetStdHandle(STD_OUTPUT_HANDLE); - if (con_st.hConsole == INVALID_HANDLE_VALUE || !GetConsoleMode(con_st.hConsole, &dwMode)) { - con_st.hConsole = GetStdHandle(STD_ERROR_HANDLE); - if (con_st.hConsole != INVALID_HANDLE_VALUE && (!GetConsoleMode(con_st.hConsole, &dwMode))) { - con_st.hConsole = NULL; - } - } - if (con_st.hConsole) { - // Enable ANSI colors on Windows 10+ - if (con_st.use_color && !(dwMode & ENABLE_VIRTUAL_TERMINAL_PROCESSING)) { - SetConsoleMode(con_st.hConsole, dwMode | ENABLE_VIRTUAL_TERMINAL_PROCESSING); - } - // Set console output codepage to UTF8 - SetConsoleOutputCP(CP_UTF8); - } - HANDLE hConIn = GetStdHandle(STD_INPUT_HANDLE); - if (hConIn != INVALID_HANDLE_VALUE && GetConsoleMode(hConIn, &dwMode)) { - // Set console input codepage to UTF16 - _setmode(_fileno(stdin), _O_WTEXT); - - // Turn off ICANON (ENABLE_LINE_INPUT) and ECHO (ENABLE_ECHO_INPUT) - dwMode &= ~(ENABLE_LINE_INPUT | ENABLE_ECHO_INPUT); - SetConsoleMode(hConIn, dwMode); - } -#else - // POSIX-specific console initialization - struct termios new_termios; - tcgetattr(STDIN_FILENO, &con_st.prev_state); - new_termios = con_st.prev_state; - new_termios.c_lflag &= ~(ICANON | ECHO); - new_termios.c_cc[VMIN] = 1; - new_termios.c_cc[VTIME] = 0; - tcsetattr(STDIN_FILENO, TCSANOW, &new_termios); - - con_st.tty = fopen("/dev/tty", "w+"); - if (con_st.tty != nullptr) { - con_st.out = con_st.tty; - } - - setlocale(LC_ALL, ""); -#endif -} - -void console_cleanup(console_state & con_st) { - // Reset console color - console_set_color(con_st, CONSOLE_COLOR_DEFAULT); - -#if !defined(_WIN32) - if (con_st.tty != nullptr) { - con_st.out = stdout; - fclose(con_st.tty); - con_st.tty = nullptr; - } - // Restore the terminal settings on POSIX systems - tcsetattr(STDIN_FILENO, TCSANOW, &con_st.prev_state); -#endif -} - -/* Keep track of current color of output, and emit ANSI code if it changes. */ -void console_set_color(console_state & con_st, console_color_t color) { - if (con_st.use_color && con_st.color != color) { - fflush(stdout); - switch(color) { - case CONSOLE_COLOR_DEFAULT: - fprintf(con_st.out, ANSI_COLOR_RESET); - break; - case CONSOLE_COLOR_PROMPT: - fprintf(con_st.out, ANSI_COLOR_YELLOW); - break; - case CONSOLE_COLOR_USER_INPUT: - fprintf(con_st.out, ANSI_BOLD ANSI_COLOR_GREEN); - break; - case CONSOLE_COLOR_ERROR: - fprintf(con_st.out, ANSI_BOLD ANSI_COLOR_RED); - break; - } - con_st.color = color; - fflush(con_st.out); - } -} - -char32_t getchar32() { -#if defined(_WIN32) - HANDLE hConsole = GetStdHandle(STD_INPUT_HANDLE); - wchar_t high_surrogate = 0; - - while (true) { - INPUT_RECORD record; - DWORD count; - if (!ReadConsoleInputW(hConsole, &record, 1, &count) || count == 0) { - return WEOF; - } - - if (record.EventType == KEY_EVENT && record.Event.KeyEvent.bKeyDown) { - wchar_t wc = record.Event.KeyEvent.uChar.UnicodeChar; - if (wc == 0) { - continue; - } - - if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate - high_surrogate = wc; - continue; - } else if ((wc >= 0xDC00) && (wc <= 0xDFFF)) { // Check if wc is a low surrogate - if (high_surrogate != 0) { // Check if we have a high surrogate - return ((high_surrogate - 0xD800) << 10) + (wc - 0xDC00) + 0x10000; - } - } - - high_surrogate = 0; // Reset the high surrogate - return static_cast(wc); - } - } -#else - wchar_t wc = getwchar(); - if (static_cast(wc) == WEOF) { - return WEOF; - } - -#if WCHAR_MAX == 0xFFFF - if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate - wchar_t low_surrogate = getwchar(); - if ((low_surrogate >= 0xDC00) && (low_surrogate <= 0xDFFF)) { // Check if the next wchar is a low surrogate - return (static_cast(wc & 0x03FF) << 10) + (low_surrogate & 0x03FF) + 0x10000; - } - } - if ((wc >= 0xD800) && (wc <= 0xDFFF)) { // Invalid surrogate pair - return 0xFFFD; // Return the replacement character U+FFFD - } -#endif - - return static_cast(wc); -#endif -} - -void pop_cursor(console_state & con_st) { -#if defined(_WIN32) - if (con_st.hConsole != NULL) { - CONSOLE_SCREEN_BUFFER_INFO bufferInfo; - GetConsoleScreenBufferInfo(con_st.hConsole, &bufferInfo); - - COORD newCursorPosition = bufferInfo.dwCursorPosition; - if (newCursorPosition.X == 0) { - newCursorPosition.X = bufferInfo.dwSize.X - 1; - newCursorPosition.Y -= 1; - } else { - newCursorPosition.X -= 1; - } - - SetConsoleCursorPosition(con_st.hConsole, newCursorPosition); - return; - } -#endif - putc('\b', con_st.out); -} - -int estimateWidth(char32_t codepoint) { -#if defined(_WIN32) - return 1; -#else - return wcwidth(codepoint); -#endif -} - -int put_codepoint(console_state & con_st, const char* utf8_codepoint, size_t length, int expectedWidth) { -#if defined(_WIN32) - CONSOLE_SCREEN_BUFFER_INFO bufferInfo; - if (!GetConsoleScreenBufferInfo(con_st.hConsole, &bufferInfo)) { - // go with the default - return expectedWidth; - } - COORD initialPosition = bufferInfo.dwCursorPosition; - DWORD nNumberOfChars = length; - WriteConsole(con_st.hConsole, utf8_codepoint, nNumberOfChars, &nNumberOfChars, NULL); - - CONSOLE_SCREEN_BUFFER_INFO newBufferInfo; - GetConsoleScreenBufferInfo(con_st.hConsole, &newBufferInfo); - - // Figure out our real position if we're in the last column - if (utf8_codepoint[0] != 0x09 && initialPosition.X == newBufferInfo.dwSize.X - 1) { - DWORD nNumberOfChars; - WriteConsole(con_st.hConsole, &" \b", 2, &nNumberOfChars, NULL); - GetConsoleScreenBufferInfo(con_st.hConsole, &newBufferInfo); - } - - int width = newBufferInfo.dwCursorPosition.X - initialPosition.X; - if (width < 0) { - width += newBufferInfo.dwSize.X; - } - return width; -#else - // we can trust expectedWidth if we've got one - if (expectedWidth >= 0 || con_st.tty == nullptr) { - fwrite(utf8_codepoint, length, 1, con_st.out); - return expectedWidth; - } - - fputs("\033[6n", con_st.tty); // Query cursor position - int x1, x2, y1, y2; - int results = 0; - results = fscanf(con_st.tty, "\033[%d;%dR", &y1, &x1); - - fwrite(utf8_codepoint, length, 1, con_st.tty); - - fputs("\033[6n", con_st.tty); // Query cursor position - results += fscanf(con_st.tty, "\033[%d;%dR", &y2, &x2); - - if (results != 4) { - return expectedWidth; - } - - int width = x2 - x1; - if (width < 0) { - // Calculate the width considering text wrapping - struct winsize w; - ioctl(STDOUT_FILENO, TIOCGWINSZ, &w); - width += w.ws_col; - } - return width; -#endif -} - -void replace_last(console_state & con_st, char ch) { -#if defined(_WIN32) - pop_cursor(con_st); - put_codepoint(con_st, &ch, 1, 1); -#else - fprintf(con_st.out, "\b%c", ch); -#endif -} - -void append_utf8(char32_t ch, std::string & out) { - if (ch <= 0x7F) { - out.push_back(static_cast(ch)); - } else if (ch <= 0x7FF) { - out.push_back(static_cast(0xC0 | ((ch >> 6) & 0x1F))); - out.push_back(static_cast(0x80 | (ch & 0x3F))); - } else if (ch <= 0xFFFF) { - out.push_back(static_cast(0xE0 | ((ch >> 12) & 0x0F))); - out.push_back(static_cast(0x80 | ((ch >> 6) & 0x3F))); - out.push_back(static_cast(0x80 | (ch & 0x3F))); - } else if (ch <= 0x10FFFF) { - out.push_back(static_cast(0xF0 | ((ch >> 18) & 0x07))); - out.push_back(static_cast(0x80 | ((ch >> 12) & 0x3F))); - out.push_back(static_cast(0x80 | ((ch >> 6) & 0x3F))); - out.push_back(static_cast(0x80 | (ch & 0x3F))); - } else { - // Invalid Unicode code point - } -} - -// Helper function to remove the last UTF-8 character from a string -void pop_back_utf8_char(std::string & line) { - if (line.empty()) { - return; - } - - size_t pos = line.length() - 1; - - // Find the start of the last UTF-8 character (checking up to 4 bytes back) - for (size_t i = 0; i < 3 && pos > 0; ++i, --pos) { - if ((line[pos] & 0xC0) != 0x80) break; // Found the start of the character - } - line.erase(pos); -} - -bool console_readline(console_state & con_st, std::string & line) { - console_set_color(con_st, CONSOLE_COLOR_USER_INPUT); - if (con_st.out != stdout) { - fflush(stdout); - } - - line.clear(); - std::vector widths; - bool is_special_char = false; - bool end_of_stream = false; - - char32_t input_char; - while (true) { - fflush(con_st.out); // Ensure all output is displayed before waiting for input - input_char = getchar32(); - - if (input_char == '\r' || input_char == '\n') { - break; - } - - if (input_char == (char32_t) WEOF || input_char == 0x04 /* Ctrl+D*/) { - end_of_stream = true; - break; - } - - if (is_special_char) { - console_set_color(con_st, CONSOLE_COLOR_USER_INPUT); - replace_last(con_st, line.back()); - is_special_char = false; - } - - if (input_char == '\033') { // Escape sequence - char32_t code = getchar32(); - if (code == '[' || code == 0x1B) { - // Discard the rest of the escape sequence - while ((code = getchar32()) != (char32_t) WEOF) { - if ((code >= 'A' && code <= 'Z') || (code >= 'a' && code <= 'z') || code == '~') { - break; - } - } - } - } else if (input_char == 0x08 || input_char == 0x7F) { // Backspace - if (!widths.empty()) { - int count; - do { - count = widths.back(); - widths.pop_back(); - // Move cursor back, print space, and move cursor back again - for (int i = 0; i < count; i++) { - replace_last(con_st, ' '); - pop_cursor(con_st); - } - pop_back_utf8_char(line); - } while (count == 0 && !widths.empty()); - } - } else { - int offset = line.length(); - append_utf8(input_char, line); - int width = put_codepoint(con_st, line.c_str() + offset, line.length() - offset, estimateWidth(input_char)); - if (width < 0) { - width = 0; - } - widths.push_back(width); - } - - if (!line.empty() && (line.back() == '\\' || line.back() == '/')) { - console_set_color(con_st, CONSOLE_COLOR_PROMPT); - replace_last(con_st, line.back()); - is_special_char = true; - } - } - - bool has_more = con_st.multiline_input; - if (is_special_char) { - replace_last(con_st, ' '); - pop_cursor(con_st); - - char last = line.back(); - line.pop_back(); - if (last == '\\') { - line += '\n'; - fputc('\n', con_st.out); - has_more = !has_more; - } else { - // llama will just eat the single space, it won't act as a space - if (line.length() == 1 && line.back() == ' ') { - line.clear(); - pop_cursor(con_st); - } - has_more = false; - } - } else { - if (end_of_stream) { - has_more = false; - } else { - line += '\n'; - fputc('\n', con_st.out); - } - } - - fflush(con_st.out); - return has_more; -} diff --git a/examples/common.h b/examples/common.h index 672dcf77c8f99..375bc0a3db416 100644 --- a/examples/common.h +++ b/examples/common.h @@ -11,11 +11,6 @@ #include #include -#if !defined (_WIN32) -#include -#include -#endif - // // CLI argument parsing // @@ -70,7 +65,11 @@ struct gpt_params { std::string lora_adapter = ""; // lora adapter path std::string lora_base = ""; // base model path for the lora adapter - bool low_vram = false; // if true, reduce VRAM usage at the cost of performance + bool hellaswag = false; // compute HellaSwag score over random tasks from datafile supplied in prompt + size_t hellaswag_tasks = 400; // number of tasks to use when computing the HellaSwag score + + bool low_vram = false; // if true, reduce VRAM usage at the cost of performance + bool mul_mat_q = false; // if true, use experimental mul_mat_q kernels bool memory_f16 = true; // use f16 instead of f32 for memory kv bool random_prompt = false; // do not randomize prompt if none provided bool use_color = false; // use color to distinguish generations and inputs @@ -81,12 +80,12 @@ struct gpt_params { bool embedding = false; // get only sentence embedding bool interactive_first = false; // wait for user input immediately bool multiline_input = false; // reverse the usage of `\` + bool simple_io = false; // improves compatibility with subprocesses and limited consoles bool input_prefix_bos = false; // prefix BOS to user inputs, preceding input_prefix bool instruct = false; // instruction mode (used for Alpaca models) bool penalize_nl = true; // consider newlines as a repeatable token bool perplexity = false; // compute perplexity over the prompt - bool perplexity_lines = false; // compute perplexity over each line of the prompt bool use_mmap = true; // use mmap for faster loads bool use_mlock = false; // use mlock to keep model in memory bool mem_test = false; // compute maximum memory usage @@ -113,42 +112,3 @@ std::vector llama_tokenize(struct llama_context * ctx, const std::s std::tuple llama_init_from_gpt_params(const gpt_params & params); struct llama_context_params llama_context_params_from_gpt_params(const gpt_params & params); - -// -// Console utils -// - -#define ANSI_COLOR_RED "\x1b[31m" -#define ANSI_COLOR_GREEN "\x1b[32m" -#define ANSI_COLOR_YELLOW "\x1b[33m" -#define ANSI_COLOR_BLUE "\x1b[34m" -#define ANSI_COLOR_MAGENTA "\x1b[35m" -#define ANSI_COLOR_CYAN "\x1b[36m" -#define ANSI_COLOR_RESET "\x1b[0m" -#define ANSI_BOLD "\x1b[1m" - -enum console_color_t { - CONSOLE_COLOR_DEFAULT=0, - CONSOLE_COLOR_PROMPT, - CONSOLE_COLOR_USER_INPUT, - CONSOLE_COLOR_ERROR -}; - -struct console_state { - bool multiline_input = false; - bool use_color = false; - console_color_t color = CONSOLE_COLOR_DEFAULT; - - FILE* out = stdout; -#if defined (_WIN32) - void* hConsole; -#else - FILE* tty = nullptr; - termios prev_state; -#endif -}; - -void console_init(console_state & con_st); -void console_cleanup(console_state & con_st); -void console_set_color(console_state & con_st, console_color_t color); -bool console_readline(console_state & con_st, std::string & line); diff --git a/examples/console.cpp b/examples/console.cpp new file mode 100644 index 0000000000000..8966b107f0797 --- /dev/null +++ b/examples/console.cpp @@ -0,0 +1,496 @@ +#include "console.h" +#include +#include + +#if defined(_WIN32) +#define WIN32_LEAN_AND_MEAN +#ifndef NOMINMAX +#define NOMINMAX +#endif +#include +#include +#include +#else +#include +#include +#include +#include +#include +#include +#include +#include +#endif + +#define ANSI_COLOR_RED "\x1b[31m" +#define ANSI_COLOR_GREEN "\x1b[32m" +#define ANSI_COLOR_YELLOW "\x1b[33m" +#define ANSI_COLOR_BLUE "\x1b[34m" +#define ANSI_COLOR_MAGENTA "\x1b[35m" +#define ANSI_COLOR_CYAN "\x1b[36m" +#define ANSI_COLOR_RESET "\x1b[0m" +#define ANSI_BOLD "\x1b[1m" + +namespace console { + + // + // Console state + // + + static bool advanced_display = false; + static bool simple_io = true; + static display_t current_display = reset; + + static FILE* out = stdout; + +#if defined (_WIN32) + static void* hConsole; +#else + static FILE* tty = nullptr; + static termios initial_state; +#endif + + // + // Init and cleanup + // + + void init(bool use_simple_io, bool use_advanced_display) { + advanced_display = use_advanced_display; + simple_io = use_simple_io; +#if defined(_WIN32) + // Windows-specific console initialization + DWORD dwMode = 0; + hConsole = GetStdHandle(STD_OUTPUT_HANDLE); + if (hConsole == INVALID_HANDLE_VALUE || !GetConsoleMode(hConsole, &dwMode)) { + hConsole = GetStdHandle(STD_ERROR_HANDLE); + if (hConsole != INVALID_HANDLE_VALUE && (!GetConsoleMode(hConsole, &dwMode))) { + hConsole = nullptr; + simple_io = true; + } + } + if (hConsole) { + // Enable ANSI colors on Windows 10+ + if (advanced_display && !(dwMode & ENABLE_VIRTUAL_TERMINAL_PROCESSING)) { + SetConsoleMode(hConsole, dwMode | ENABLE_VIRTUAL_TERMINAL_PROCESSING); + } + // Set console output codepage to UTF8 + SetConsoleOutputCP(CP_UTF8); + } + HANDLE hConIn = GetStdHandle(STD_INPUT_HANDLE); + if (hConIn != INVALID_HANDLE_VALUE && GetConsoleMode(hConIn, &dwMode)) { + // Set console input codepage to UTF16 + _setmode(_fileno(stdin), _O_WTEXT); + + // Set ICANON (ENABLE_LINE_INPUT) and ECHO (ENABLE_ECHO_INPUT) + if (simple_io) { + dwMode |= ENABLE_LINE_INPUT | ENABLE_ECHO_INPUT; + } else { + dwMode &= ~(ENABLE_LINE_INPUT | ENABLE_ECHO_INPUT); + } + if (!SetConsoleMode(hConIn, dwMode)) { + simple_io = true; + } + } +#else + // POSIX-specific console initialization + if (!simple_io) { + struct termios new_termios; + tcgetattr(STDIN_FILENO, &initial_state); + new_termios = initial_state; + new_termios.c_lflag &= ~(ICANON | ECHO); + new_termios.c_cc[VMIN] = 1; + new_termios.c_cc[VTIME] = 0; + tcsetattr(STDIN_FILENO, TCSANOW, &new_termios); + + tty = fopen("/dev/tty", "w+"); + if (tty != nullptr) { + out = tty; + } + } + + setlocale(LC_ALL, ""); +#endif + } + + void cleanup() { + // Reset console display + set_display(reset); + +#if !defined(_WIN32) + // Restore settings on POSIX systems + if (!simple_io) { + if (tty != nullptr) { + out = stdout; + fclose(tty); + tty = nullptr; + } + tcsetattr(STDIN_FILENO, TCSANOW, &initial_state); + } +#endif + } + + // + // Display and IO + // + + // Keep track of current display and only emit ANSI code if it changes + void set_display(display_t display) { + if (advanced_display && current_display != display) { + fflush(stdout); + switch(display) { + case reset: + fprintf(out, ANSI_COLOR_RESET); + break; + case prompt: + fprintf(out, ANSI_COLOR_YELLOW); + break; + case user_input: + fprintf(out, ANSI_BOLD ANSI_COLOR_GREEN); + break; + case error: + fprintf(out, ANSI_BOLD ANSI_COLOR_RED); + } + current_display = display; + fflush(out); + } + } + + char32_t getchar32() { +#if defined(_WIN32) + HANDLE hConsole = GetStdHandle(STD_INPUT_HANDLE); + wchar_t high_surrogate = 0; + + while (true) { + INPUT_RECORD record; + DWORD count; + if (!ReadConsoleInputW(hConsole, &record, 1, &count) || count == 0) { + return WEOF; + } + + if (record.EventType == KEY_EVENT && record.Event.KeyEvent.bKeyDown) { + wchar_t wc = record.Event.KeyEvent.uChar.UnicodeChar; + if (wc == 0) { + continue; + } + + if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate + high_surrogate = wc; + continue; + } + if ((wc >= 0xDC00) && (wc <= 0xDFFF)) { // Check if wc is a low surrogate + if (high_surrogate != 0) { // Check if we have a high surrogate + return ((high_surrogate - 0xD800) << 10) + (wc - 0xDC00) + 0x10000; + } + } + + high_surrogate = 0; // Reset the high surrogate + return static_cast(wc); + } + } +#else + wchar_t wc = getwchar(); + if (static_cast(wc) == WEOF) { + return WEOF; + } + +#if WCHAR_MAX == 0xFFFF + if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate + wchar_t low_surrogate = getwchar(); + if ((low_surrogate >= 0xDC00) && (low_surrogate <= 0xDFFF)) { // Check if the next wchar is a low surrogate + return (static_cast(wc & 0x03FF) << 10) + (low_surrogate & 0x03FF) + 0x10000; + } + } + if ((wc >= 0xD800) && (wc <= 0xDFFF)) { // Invalid surrogate pair + return 0xFFFD; // Return the replacement character U+FFFD + } +#endif + + return static_cast(wc); +#endif + } + + void pop_cursor() { +#if defined(_WIN32) + if (hConsole != NULL) { + CONSOLE_SCREEN_BUFFER_INFO bufferInfo; + GetConsoleScreenBufferInfo(hConsole, &bufferInfo); + + COORD newCursorPosition = bufferInfo.dwCursorPosition; + if (newCursorPosition.X == 0) { + newCursorPosition.X = bufferInfo.dwSize.X - 1; + newCursorPosition.Y -= 1; + } else { + newCursorPosition.X -= 1; + } + + SetConsoleCursorPosition(hConsole, newCursorPosition); + return; + } +#endif + putc('\b', out); + } + + int estimateWidth(char32_t codepoint) { +#if defined(_WIN32) + return 1; +#else + return wcwidth(codepoint); +#endif + } + + int put_codepoint(const char* utf8_codepoint, size_t length, int expectedWidth) { +#if defined(_WIN32) + CONSOLE_SCREEN_BUFFER_INFO bufferInfo; + if (!GetConsoleScreenBufferInfo(hConsole, &bufferInfo)) { + // go with the default + return expectedWidth; + } + COORD initialPosition = bufferInfo.dwCursorPosition; + DWORD nNumberOfChars = length; + WriteConsole(hConsole, utf8_codepoint, nNumberOfChars, &nNumberOfChars, NULL); + + CONSOLE_SCREEN_BUFFER_INFO newBufferInfo; + GetConsoleScreenBufferInfo(hConsole, &newBufferInfo); + + // Figure out our real position if we're in the last column + if (utf8_codepoint[0] != 0x09 && initialPosition.X == newBufferInfo.dwSize.X - 1) { + DWORD nNumberOfChars; + WriteConsole(hConsole, &" \b", 2, &nNumberOfChars, NULL); + GetConsoleScreenBufferInfo(hConsole, &newBufferInfo); + } + + int width = newBufferInfo.dwCursorPosition.X - initialPosition.X; + if (width < 0) { + width += newBufferInfo.dwSize.X; + } + return width; +#else + // We can trust expectedWidth if we've got one + if (expectedWidth >= 0 || tty == nullptr) { + fwrite(utf8_codepoint, length, 1, out); + return expectedWidth; + } + + fputs("\033[6n", tty); // Query cursor position + int x1; + int y1; + int x2; + int y2; + int results = 0; + results = fscanf(tty, "\033[%d;%dR", &y1, &x1); + + fwrite(utf8_codepoint, length, 1, tty); + + fputs("\033[6n", tty); // Query cursor position + results += fscanf(tty, "\033[%d;%dR", &y2, &x2); + + if (results != 4) { + return expectedWidth; + } + + int width = x2 - x1; + if (width < 0) { + // Calculate the width considering text wrapping + struct winsize w; + ioctl(STDOUT_FILENO, TIOCGWINSZ, &w); + width += w.ws_col; + } + return width; +#endif + } + + void replace_last(char ch) { +#if defined(_WIN32) + pop_cursor(); + put_codepoint(&ch, 1, 1); +#else + fprintf(out, "\b%c", ch); +#endif + } + + void append_utf8(char32_t ch, std::string & out) { + if (ch <= 0x7F) { + out.push_back(static_cast(ch)); + } else if (ch <= 0x7FF) { + out.push_back(static_cast(0xC0 | ((ch >> 6) & 0x1F))); + out.push_back(static_cast(0x80 | (ch & 0x3F))); + } else if (ch <= 0xFFFF) { + out.push_back(static_cast(0xE0 | ((ch >> 12) & 0x0F))); + out.push_back(static_cast(0x80 | ((ch >> 6) & 0x3F))); + out.push_back(static_cast(0x80 | (ch & 0x3F))); + } else if (ch <= 0x10FFFF) { + out.push_back(static_cast(0xF0 | ((ch >> 18) & 0x07))); + out.push_back(static_cast(0x80 | ((ch >> 12) & 0x3F))); + out.push_back(static_cast(0x80 | ((ch >> 6) & 0x3F))); + out.push_back(static_cast(0x80 | (ch & 0x3F))); + } else { + // Invalid Unicode code point + } + } + + // Helper function to remove the last UTF-8 character from a string + void pop_back_utf8_char(std::string & line) { + if (line.empty()) { + return; + } + + size_t pos = line.length() - 1; + + // Find the start of the last UTF-8 character (checking up to 4 bytes back) + for (size_t i = 0; i < 3 && pos > 0; ++i, --pos) { + if ((line[pos] & 0xC0) != 0x80) { + break; // Found the start of the character + } + } + line.erase(pos); + } + + bool readline_advanced(std::string & line, bool multiline_input) { + if (out != stdout) { + fflush(stdout); + } + + line.clear(); + std::vector widths; + bool is_special_char = false; + bool end_of_stream = false; + + char32_t input_char; + while (true) { + fflush(out); // Ensure all output is displayed before waiting for input + input_char = getchar32(); + + if (input_char == '\r' || input_char == '\n') { + break; + } + + if (input_char == (char32_t) WEOF || input_char == 0x04 /* Ctrl+D*/) { + end_of_stream = true; + break; + } + + if (is_special_char) { + set_display(user_input); + replace_last(line.back()); + is_special_char = false; + } + + if (input_char == '\033') { // Escape sequence + char32_t code = getchar32(); + if (code == '[' || code == 0x1B) { + // Discard the rest of the escape sequence + while ((code = getchar32()) != (char32_t) WEOF) { + if ((code >= 'A' && code <= 'Z') || (code >= 'a' && code <= 'z') || code == '~') { + break; + } + } + } + } else if (input_char == 0x08 || input_char == 0x7F) { // Backspace + if (!widths.empty()) { + int count; + do { + count = widths.back(); + widths.pop_back(); + // Move cursor back, print space, and move cursor back again + for (int i = 0; i < count; i++) { + replace_last(' '); + pop_cursor(); + } + pop_back_utf8_char(line); + } while (count == 0 && !widths.empty()); + } + } else { + int offset = line.length(); + append_utf8(input_char, line); + int width = put_codepoint(line.c_str() + offset, line.length() - offset, estimateWidth(input_char)); + if (width < 0) { + width = 0; + } + widths.push_back(width); + } + + if (!line.empty() && (line.back() == '\\' || line.back() == '/')) { + set_display(prompt); + replace_last(line.back()); + is_special_char = true; + } + } + + bool has_more = multiline_input; + if (is_special_char) { + replace_last(' '); + pop_cursor(); + + char last = line.back(); + line.pop_back(); + if (last == '\\') { + line += '\n'; + fputc('\n', out); + has_more = !has_more; + } else { + // llama will just eat the single space, it won't act as a space + if (line.length() == 1 && line.back() == ' ') { + line.clear(); + pop_cursor(); + } + has_more = false; + } + } else { + if (end_of_stream) { + has_more = false; + } else { + line += '\n'; + fputc('\n', out); + } + } + + fflush(out); + return has_more; + } + + bool readline_simple(std::string & line, bool multiline_input) { +#if defined(_WIN32) + std::wstring wline; + if (!std::getline(std::wcin, wline)) { + // Input stream is bad or EOF received + line.clear(); + GenerateConsoleCtrlEvent(CTRL_C_EVENT, 0); + return false; + } + + int size_needed = WideCharToMultiByte(CP_UTF8, 0, &wline[0], (int)wline.size(), NULL, 0, NULL, NULL); + line.resize(size_needed); + WideCharToMultiByte(CP_UTF8, 0, &wline[0], (int)wline.size(), &line[0], size_needed, NULL, NULL); +#else + if (!std::getline(std::cin, line)) { + // Input stream is bad or EOF received + line.clear(); + return false; + } +#endif + if (!line.empty()) { + char last = line.back(); + if (last == '/') { // Always return control on '/' symbol + line.pop_back(); + return false; + } + if (last == '\\') { // '\\' changes the default action + line.pop_back(); + multiline_input = !multiline_input; + } + } + line += '\n'; + + // By default, continue input if multiline_input is set + return multiline_input; + } + + bool readline(std::string & line, bool multiline_input) { + set_display(user_input); + + if (simple_io) { + return readline_simple(line, multiline_input); + } + return readline_advanced(line, multiline_input); + } + +} diff --git a/examples/console.h b/examples/console.h new file mode 100644 index 0000000000000..ec175269b9d8a --- /dev/null +++ b/examples/console.h @@ -0,0 +1,19 @@ +// Console functions + +#pragma once + +#include + +namespace console { + enum display_t { + reset = 0, + prompt, + user_input, + error + }; + + void init(bool use_simple_io, bool use_advanced_display); + void cleanup(); + void set_display(display_t display); + bool readline(std::string & line, bool multiline_input); +} diff --git a/examples/embd-input/embd-input-lib.cpp b/examples/embd-input/embd-input-lib.cpp index 26563821a1078..2185b9b0e2839 100644 --- a/examples/embd-input/embd-input-lib.cpp +++ b/examples/embd-input/embd-input-lib.cpp @@ -30,7 +30,7 @@ struct MyModel* create_mymodel(int argc, char ** argv) { fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT); if (params.seed == LLAMA_DEFAULT_SEED) { - params.seed = time(NULL); + params.seed = uint32_t(time(NULL)); } fprintf(stderr, "%s: seed = %d\n", __func__, params.seed); diff --git a/examples/grammar-parser.cpp b/examples/grammar-parser.cpp index 019d5e1bf9ceb..e76bd11c31598 100644 --- a/examples/grammar-parser.cpp +++ b/examples/grammar-parser.cpp @@ -405,7 +405,7 @@ namespace grammar_parser { for (size_t i = 0, end = state.rules.size(); i < end; i++) { // fprintf(file, "%zu: ", i); // print_rule_binary(file, state.rules[i]); - print_rule(file, i, state.rules[i], symbol_id_names); + print_rule(file, uint32_t(i), state.rules[i], symbol_id_names); // fprintf(file, "\n"); } } catch (const std::exception & err) { diff --git a/examples/json-schema-to-grammar.py b/examples/json-schema-to-grammar.py new file mode 100644 index 0000000000000..2dccc118a70e8 --- /dev/null +++ b/examples/json-schema-to-grammar.py @@ -0,0 +1,132 @@ +import argparse +import json +import re +import sys + +# whitespace is constrained to a single space char to prevent model "running away" in +# whitespace. Also maybe improves generation quality? +SPACE_RULE = '" "?' + +PRIMITIVE_RULES = { + 'boolean': '("true" | "false") space', + 'number': '("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? space', + 'integer': '("-"? ([0-9] | [1-9] [0-9]*)) space', + 'string': r''' "\"" ( + [^"\\] | + "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F]) + )* "\"" space ''', + 'null': '"null" space', +} + +INVALID_RULE_CHARS_RE = re.compile(r'[^a-zA-Z0-9-]+') +GRAMMAR_LITERAL_ESCAPE_RE = re.compile(r'[\r\n"]') +GRAMMAR_LITERAL_ESCAPES = {'\r': '\\r', '\n': '\\n', '"': '\\"'} + + +class SchemaConverter: + def __init__(self, prop_order): + self._prop_order = prop_order + self._rules = {'space': SPACE_RULE} + + def _format_literal(self, literal): + escaped = GRAMMAR_LITERAL_ESCAPE_RE.sub( + lambda m: GRAMMAR_LITERAL_ESCAPES.get(m.group(0)), json.dumps(literal) + ) + return f'"{escaped}"' + + def _add_rule(self, name, rule): + esc_name = INVALID_RULE_CHARS_RE.sub('-', name) + if esc_name not in self._rules or self._rules[esc_name] == rule: + key = esc_name + else: + i = 0 + while f'{esc_name}{i}' in self._rules: + i += 1 + key = f'{esc_name}{i}' + self._rules[key] = rule + return key + + def visit(self, schema, name): + schema_type = schema.get('type') + rule_name = name or 'root' + + if 'oneOf' in schema or 'anyOf' in schema: + rule = ' | '.join(( + self.visit(alt_schema, f'{name}{"-" if name else ""}{i}') + for i, alt_schema in enumerate(schema.get('oneOf') or schema['anyOf']) + )) + return self._add_rule(rule_name, rule) + + elif 'const' in schema: + return self._add_rule(rule_name, self._format_literal(schema['const'])) + + elif 'enum' in schema: + rule = ' | '.join((self._format_literal(v) for v in schema['enum'])) + return self._add_rule(rule_name, rule) + + elif schema_type == 'object' and 'properties' in schema: + # TODO: `required` keyword + prop_order = self._prop_order + prop_pairs = sorted( + schema['properties'].items(), + # sort by position in prop_order (if specified) then by key + key=lambda kv: (prop_order.get(kv[0], len(prop_order)), kv[0]), + ) + + rule = '"{" space' + for i, (prop_name, prop_schema) in enumerate(prop_pairs): + prop_rule_name = self.visit(prop_schema, f'{name}{"-" if name else ""}{prop_name}') + if i > 0: + rule += ' "," space' + rule += fr' {self._format_literal(prop_name)} space ":" space {prop_rule_name}' + rule += ' "}" space' + + return self._add_rule(rule_name, rule) + + elif schema_type == 'array' and 'items' in schema: + # TODO `prefixItems` keyword + item_rule_name = self.visit(schema['items'], f'{name}{"-" if name else ""}item') + rule = f'"[" space ({item_rule_name} ("," space {item_rule_name})*)? "]" space' + return self._add_rule(rule_name, rule) + + else: + assert schema_type in PRIMITIVE_RULES, f'Unrecognized schema: {schema}' + return self._add_rule( + 'root' if rule_name == 'root' else schema_type, + PRIMITIVE_RULES[schema_type] + ) + + def format_grammar(self): + return '\n'.join((f'{name} ::= {rule}' for name, rule in self._rules.items())) + + +def main(args_in = None): + parser = argparse.ArgumentParser( + description=''' + Generates a grammar (suitable for use in ./main) that produces JSON conforming to a + given JSON schema. Only a subset of JSON schema features are supported; more may be + added in the future. + ''', + ) + parser.add_argument( + '--prop-order', + default=[], + type=lambda s: s.split(','), + help=''' + comma-separated property names defining the order of precedence for object properties; + properties not specified here are given lower precedence than those that are, and are + sorted alphabetically + ''' + ) + parser.add_argument('schema', help='file containing JSON schema ("-" for stdin)') + args = parser.parse_args(args_in) + + schema = json.load(sys.stdin if args.schema == '-' else open(args.schema)) + prop_order = {name: idx for idx, name in enumerate(args.prop_order)} + converter = SchemaConverter(prop_order) + converter.visit(schema, '') + print(converter.format_grammar()) + + +if __name__ == '__main__': + main() diff --git a/examples/main/README.md b/examples/main/README.md index 37538613042b0..014112e5db484 100644 --- a/examples/main/README.md +++ b/examples/main/README.md @@ -202,9 +202,9 @@ Example usage: `--top-p 0.95` - `--tfs N`: Enable tail free sampling with parameter z (default: 1.0, 1.0 = disabled). -Tail free sampling (TFS) is a text generation technique that aims to reduce the impact of less likely tokens, which may be less relevant, less coherent, or nonsensical, on the output. The method adjusts the logits (token probabilities) by raising them to the power of the parameter z. A higher value of z (e.g., 2.0) will further suppress less likely tokens from the tail of the distribution, while a value of 1.0 disables the effect of TFS. By setting the parameter z, you can control how much the probabilities of less likely tokens are reduced. +Tail free sampling (TFS) is a text generation technique that aims to reduce the impact of less likely tokens, which may be less relevant, less coherent, or nonsensical, on the output. Similar to Top-P it tries to determine the bulk of the most likely tokens dynamically. But TFS filters out logits based on the second derivative of their probabilities. Adding tokens is stopped after the sum of the second derivatives reaches the parameter z. In short: TFS looks how quickly the probabilities of the tokens decrease and cuts off the tail of unlikely tokens using the parameter z. Typical values for z are in the range of 0.9 to 0.95. A value of 1.0 would include all tokens, and thus disables the effect of TFS. -Example usage: `--tfs 2.0` +Example usage: `--tfs 0.95` ### Locally Typical Sampling diff --git a/examples/main/main.cpp b/examples/main/main.cpp index 3796a92301136..56ada7e69d99d 100644 --- a/examples/main/main.cpp +++ b/examples/main/main.cpp @@ -4,6 +4,7 @@ #endif #include "common.h" +#include "console.h" #include "llama.h" #include "build-info.h" #include "grammar-parser.h" @@ -35,9 +36,7 @@ #pragma warning(disable: 4244 4267) // possible loss of data #endif -static console_state con_st; static llama_context ** g_ctx; - static bool is_interacting = false; #if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32) @@ -46,7 +45,7 @@ void sigint_handler(int signo) { if (!is_interacting) { is_interacting=true; } else { - console_cleanup(con_st); + console::cleanup(); printf("\n"); llama_print_timings(*g_ctx); _exit(130); @@ -64,10 +63,8 @@ int main(int argc, char ** argv) { // save choice to use color for later // (note for later: this is a slightly awkward choice) - con_st.use_color = params.use_color; - con_st.multiline_input = params.multiline_input; - console_init(con_st); - atexit([]() { console_cleanup(con_st); }); + console::init(params.simple_io, params.use_color); + atexit([]() { console::cleanup(); }); if (params.perplexity) { printf("\n************\n"); @@ -373,7 +370,7 @@ int main(int argc, char ** argv) { if (params.interactive) { const char *control_message; - if (con_st.multiline_input) { + if (params.multiline_input) { control_message = " - To return control to LLaMa, end your input with '\\'.\n" " - To return control without starting a new line, end your input with '/'.\n"; } else { @@ -401,7 +398,7 @@ int main(int argc, char ** argv) { int n_past_guidance = 0; // the first thing we will do is to output the prompt, so set color accordingly - console_set_color(con_st, CONSOLE_COLOR_PROMPT); + console::set_display(console::prompt); std::vector embd; std::vector embd_guidance; @@ -422,9 +419,9 @@ int main(int argc, char ** argv) { // Ensure the input doesn't exceed the context size by truncating embd if necessary. if ((int)embd.size() > max_embd_size) { auto skipped_tokens = embd.size() - max_embd_size; - console_set_color(con_st, CONSOLE_COLOR_ERROR); + console::set_display(console::error); printf("<>", skipped_tokens, skipped_tokens != 1 ? "s" : ""); - console_set_color(con_st, CONSOLE_COLOR_DEFAULT); + console::set_display(console::reset); fflush(stdout); embd.resize(max_embd_size); } @@ -667,7 +664,7 @@ int main(int argc, char ** argv) { } // reset color to default if we there is no pending user input if (input_echo && (int)embd_inp.size() == n_consumed) { - console_set_color(con_st, CONSOLE_COLOR_DEFAULT); + console::set_display(console::reset); } // if not currently processing queued inputs; @@ -693,7 +690,7 @@ int main(int argc, char ** argv) { if (last_output.find(antiprompt.c_str(), search_start_pos) != std::string::npos) { if (params.interactive) { is_interacting = true; - console_set_color(con_st, CONSOLE_COLOR_USER_INPUT); + console::set_display(console::user_input); } is_antiprompt = true; fflush(stdout); @@ -714,7 +711,7 @@ int main(int argc, char ** argv) { is_interacting = true; printf("\n"); - console_set_color(con_st, CONSOLE_COLOR_USER_INPUT); + console::set_display(console::user_input); fflush(stdout); } else if (params.instruct) { is_interacting = true; @@ -739,12 +736,12 @@ int main(int argc, char ** argv) { std::string line; bool another_line = true; do { - another_line = console_readline(con_st, line); + another_line = console::readline(line, params.multiline_input); buffer += line; } while (another_line); // done taking input, reset color - console_set_color(con_st, CONSOLE_COLOR_DEFAULT); + console::set_display(console::reset); // Add tokens to embd only if the input buffer is non-empty // Entering a empty line lets the user pass control back diff --git a/examples/perplexity/perplexity.cpp b/examples/perplexity/perplexity.cpp index d23b7e7f0c1b8..62433e983df9c 100644 --- a/examples/perplexity/perplexity.cpp +++ b/examples/perplexity/perplexity.cpp @@ -121,8 +121,23 @@ void perplexity(llama_context * ctx, const gpt_params & params) { printf("\n"); } -void perplexity_lines(llama_context * ctx, const gpt_params & params) { - // Calculates perplexity over each line of the prompt +void hellaswag_score(llama_context * ctx, const gpt_params & params) { + // Calculates hellaswag score (acc_norm) from prompt + // + // Data extracted from the HellaSwag validation dataset (MIT license) https://github.com/rowanz/hellaswag/blob/master/data/hellaswag_val.jsonl + // All used data fields are preprocessed as in https://github.com/EleutherAI/lm-evaluation-harness/blob/df3da98c5405deafd519c2ddca52bb7c3fe36bef/lm_eval/tasks/hellaswag.py#L62-L68 + // + // All 10042 tasks should be extracted to keep the results standardized like other implementations. + // + // Datafile layout: + // ['??'] denotes json fields + // 6 lines per task: + // ['activity_label'] + ": " +['ctx'] - The first part of the query, the context + // ['label'] - The index the best common sense ending aka gold ending + // ['endings'][0] - Endings added to the first part of the query + // ['endings'][1] + // ['endings'][2] + // ['endings'][3] std::vector prompt_lines; std::istringstream strstream(params.prompt); @@ -132,63 +147,149 @@ void perplexity_lines(llama_context * ctx, const gpt_params & params) { prompt_lines.push_back(line); } - const int n_vocab = llama_n_vocab(ctx); + if( prompt_lines.size() % 6 != 0) { + fprintf(stderr, "%s : number of lines in prompt not a multiple of 6.\n", __func__); + return; + } - int counttotal = 0; - size_t n_lines = prompt_lines.size(); + size_t hs_task_count = prompt_lines.size()/6; + fprintf(stderr, "%s : loaded %zu tasks from prompt.\n", __func__, hs_task_count); - double nll = 0.0; + // This is needed as usual for LLaMA models + bool prepend_bos = true; + + // Number of tasks to use when computing the score + if ( params.hellaswag_tasks < hs_task_count ) { + hs_task_count = params.hellaswag_tasks; + } - fprintf(stderr, "%s: calculating perplexity over %lu lines\n", __func__, n_lines); + // The tasks should be randomized so the score stabilizes quickly. + bool randomize_tasks = true; - printf("\nLine\tPPL line\tPPL cumulative\n"); + // The random seed should not impact the final result if the computation is done over enough tasks, so kept hardcoded for now + std::mt19937 rng(1); - for (size_t i = 0; i < n_lines; ++i) { + // Dataholder for hellaswag tasks + struct hs_data_t { + std::string context; + size_t gold_ending_idx; + std::string ending[4]; + size_t ending_logprob_count[4]; + double ending_logprob[4]; + }; - // Tokenize and insert BOS at start - std::vector batch_embd = ::llama_tokenize(ctx, prompt_lines[i], true); + fprintf(stderr, "%s : selecting %zu %s tasks.\n", __func__, hs_task_count, (randomize_tasks?"randomized":"the first") ); - size_t batch_size = batch_embd.size(); + // Select and read data from prompt lines + hs_data_t *hs_data = new hs_data_t[hs_task_count]; + for (size_t i=0; i < hs_task_count; i++) { + size_t idx = i; - // Stop if line is too long - if( batch_size > (size_t)params.n_ctx ) { - fprintf(stderr, "%s : tokens in line %lu > n_ctxl\n", __func__, i); - return; + // Select a random example of those left in the prompt + if (randomize_tasks) { + std::uniform_int_distribution dist(0, prompt_lines.size()/6-1 ) ; + idx = dist(rng); } - if (llama_eval(ctx, batch_embd.data(), batch_size, 0, params.n_threads)) { - fprintf(stderr, "%s : failed to eval\n", __func__); - return; + hs_data[i].context = prompt_lines[idx*6]; + hs_data[i].gold_ending_idx = std::stoi( prompt_lines[idx*6+1] ); + for (size_t j=0; j < 4; j++) { + hs_data[i].ending[j] = " " + prompt_lines[idx*6+2+j]; } - const auto batch_logits = llama_get_logits(ctx); - std::vector logits; - logits.insert(logits.end(), batch_logits, batch_logits + batch_size * n_vocab); + // Delete the selected random example from the prompt + if (randomize_tasks) { + prompt_lines.erase( std::next(prompt_lines.begin(),idx*6) , std::next(prompt_lines.begin(),idx*6+6) ); + } + } - double nllline = 0.0; - int countline = 0; + fprintf(stderr, "%s : calculating hellaswag score over selected tasks.\n", __func__); + printf("\ntask\tacc_norm\n"); - // Perplexity over second half of the line - for (size_t j = batch_size/2; j < batch_size - 1; ++j) { - // Calculate probability of next token, given the previous ones. - const std::vector tok_logits( - logits.begin() + (j + 0) * n_vocab, - logits.begin() + (j + 1) * n_vocab); + double acc = 0.0f; + const int n_vocab = llama_n_vocab(ctx); + + for (size_t task_idx = 0; task_idx < hs_task_count; task_idx++) { + + // Tokenize the context to count tokens + std::vector context_embd = ::llama_tokenize(ctx, hs_data[task_idx].context, prepend_bos); + size_t context_size = context_embd.size(); + + for (size_t ending_idx=0;ending_idx<4;ending_idx++) { + + // Tokenize the query + std::vector query_embd = ::llama_tokenize(ctx, hs_data[task_idx].context + hs_data[task_idx].ending[ending_idx], prepend_bos); + size_t query_size = query_embd.size(); + + // Stop if query wont fit the ctx window + if (query_size > (size_t)params.n_ctx) { + fprintf(stderr, "%s : number of tokens in query %zu > n_ctxl\n", __func__, query_size); + return; + } - const float prob = softmax(tok_logits)[batch_embd[ j + 1]]; + // Speedup small evaluations by evaluating atleast 32 tokens + if (query_size < 32) { + query_embd.resize(32); + } + + // Evaluate the query + if (llama_eval(ctx, query_embd.data(), query_embd.size(), 0, params.n_threads)) { + fprintf(stderr, "%s : failed to eval\n", __func__); + return; + } + + const auto query_logits = llama_get_logits(ctx); + std::vector logits; + logits.insert(logits.end(), query_logits, query_logits + query_size * n_vocab); + + hs_data[task_idx].ending_logprob_count[ending_idx] = 0; + hs_data[task_idx].ending_logprob[ending_idx] = 0.0f; + + // Calculate the logprobs over the ending + for (size_t j = context_size-1; j < query_size - 1; j++) { + // Calculate probability of next token, given the previous ones. + const std::vector tok_logits( + logits.begin() + (j + 0) * n_vocab, + logits.begin() + (j + 1) * n_vocab); + + const float prob = softmax(tok_logits)[query_embd[ j + 1]]; + + hs_data[task_idx].ending_logprob[ending_idx] += std::log(prob); + hs_data[task_idx].ending_logprob_count[ending_idx]++; + } + + // Calculate the mean token logprob for acc_norm + hs_data[task_idx].ending_logprob[ending_idx] /= hs_data[task_idx].ending_logprob_count[ending_idx]; + + +// printf("task %lu, ending %lu, whole_len %lu, context_len %lu, ending_logprob_count %lu, ending_logprob %.4f\n", +// task_idx,ending_idx,whole_size,context_size, hs_data[task_idx].ending_logprob_count[ending_idx], hs_data[task_idx].ending_logprob[ending_idx] ); + } - nllline += -std::log(prob); - ++countline; + // Find the ending with maximum logprob + size_t ending_logprob_max_idx = -1; + double ending_logprob_max_val = -INFINITY; + for (size_t j=0; j < 4; j++) { + if (hs_data[task_idx].ending_logprob[j] > ending_logprob_max_val) { + ending_logprob_max_idx = j; + ending_logprob_max_val = hs_data[task_idx].ending_logprob[j]; + } } - nll += nllline; - counttotal += countline; +// printf("max logprob ending idx %lu, gold ending idx %lu\n", ending_logprob_max_idx, hs_data[task_idx].gold_ending_idx); - // perplexity is e^(average negative log-likelihood) - printf("%lu\t%.8lf\t%.8lf\n", i + 1, std::exp(nllline/countline), std::exp(nll / counttotal) ); + // If the gold ending got the maximum logprobe add one accuracy point + if (ending_logprob_max_idx == hs_data[task_idx].gold_ending_idx) { + acc += 1.0; + } + + // Print the accumulated accuracy mean x 100 + printf("%zu\t%.8lf\n",task_idx+1, acc/double(task_idx+1)*100.0); fflush(stdout); } + delete [] hs_data; + printf("\n"); } @@ -240,8 +341,8 @@ int main(int argc, char ** argv) { params.n_threads, std::thread::hardware_concurrency(), llama_print_system_info()); } - if (params.perplexity_lines) { - perplexity_lines(ctx, params); + if (params.hellaswag) { + hellaswag_score(ctx, params); } else { perplexity(ctx, params); } diff --git a/examples/save-load-state/save-load-state.cpp b/examples/save-load-state/save-load-state.cpp index 4c868850317fe..61c71c3589fdf 100644 --- a/examples/save-load-state/save-load-state.cpp +++ b/examples/save-load-state/save-load-state.cpp @@ -26,6 +26,7 @@ int main(int argc, char ** argv) { auto lparams = llama_context_default_params(); lparams.n_ctx = params.n_ctx; + lparams.n_gqa = params.n_gqa; lparams.seed = params.seed; lparams.f16_kv = params.memory_f16; lparams.use_mmap = params.use_mmap; diff --git a/examples/server-llama2-13B.sh b/examples/server-llama2-13B.sh new file mode 100644 index 0000000000000..17fedc2b176f6 --- /dev/null +++ b/examples/server-llama2-13B.sh @@ -0,0 +1,26 @@ +#!/bin/bash + +set -e + +cd "$(dirname "$0")/.." || exit + +# Specify the model you want to use here: +MODEL="${MODEL:-./models/llama-2-13b-chat.ggmlv3.q5_K_M.bin}" +PROMPT_TEMPLATE=${PROMPT_TEMPLATE:-./prompts/chat-system.txt} + +# Adjust to the number of CPU cores you want to use. +N_THREAD="${N_THREAD:-12}" + +# Note: you can also override the generation options by specifying them on the command line: +GEN_OPTIONS="${GEN_OPTIONS:---ctx_size 4096 --batch-size 1024}" + + +# shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS +./server $GEN_OPTIONS \ + --model "$MODEL" \ + --threads "$N_THREAD" \ + --rope-freq-scale 1.0 \ + "$@" + +# I used this to test the model with mps, but omitted it from the general purpose. If you want to use it, just specify it on the command line. +# -ngl 1 \ diff --git a/examples/server/README.md b/examples/server/README.md index e5ca8269b9d56..aee31ae42e517 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -163,7 +163,7 @@ node . `content`: Set the text to tokenize. - Note that the special `BOS` token is not added in fron of the text and also a space character is not inserted automatically as it is for `/completion`. + Note that the special `BOS` token is not added in front of the text and also a space character is not inserted automatically as it is for `/completion`. - **POST** `/embedding`: Generate embedding of a given text just as [the embedding example](../embedding) does. diff --git a/examples/server/chat-llama2.sh b/examples/server/chat-llama2.sh new file mode 100644 index 0000000000000..1fc79b7e19137 --- /dev/null +++ b/examples/server/chat-llama2.sh @@ -0,0 +1,109 @@ +#!/bin/bash + +API_URL="${API_URL:-http://127.0.0.1:8080}" + +CHAT=( + "Hello, Assistant." + "Hello. How may I help you today?" +) + +INSTRUCTION="A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions." + +trim() { + shopt -s extglob + set -- "${1##+([[:space:]])}" + printf "%s" "${1%%+([[:space:]])}" +} + +trim_trailing() { + shopt -s extglob + printf "%s" "${1%%+([[:space:]])}" +} + +format_prompt() { + if [[ "${#CHAT[@]}" -eq 0 ]]; then + echo -n "[INST] <>\n${INSTRUCTION}\n<>" + else + LAST_INDEX=$(( ${#CHAT[@]} - 1 )) + echo -n "${CHAT[$LAST_INDEX]}\n[INST] $1 [/INST]" + fi +} + +tokenize() { + curl \ + --silent \ + --request POST \ + --url "${API_URL}/tokenize" \ + --header "Content-Type: application/json" \ + --data-raw "$(jq -ns --arg content "$1" '{content:$content}')" \ + | jq '.tokens[]' +} + +N_KEEP=$(tokenize "[INST] <>\n${INSTRUCTION}\n<>" | wc -l) + +chat_completion() { + PROMPT="$(trim_trailing "$(format_prompt "$1")")" + DATA="$(echo -n "$PROMPT" | jq -Rs --argjson n_keep $N_KEEP '{ + prompt: ., + temperature: 0.2, + top_k: 40, + top_p: 0.9, + n_keep: $n_keep, + n_predict: 1024, + stop: ["[INST]"], + stream: true + }')" + + # Create a temporary file to hold the Python output + TEMPFILE=$(mktemp) + + exec 3< <(curl \ + --silent \ + --no-buffer \ + --request POST \ + --url "${API_URL}/completion" \ + --header "Content-Type: application/json" \ + --data-raw "${DATA}") + + python -c " +import json +import sys + +answer = '' +while True: + line = sys.stdin.readline() + if not line: + break + if line.startswith('data: '): + json_content = line[6:].strip() + content = json.loads(json_content)['content'] + sys.stdout.write(content) + sys.stdout.flush() + answer += content + +answer = answer.rstrip('\n') + +# Write the answer to the temporary file +with open('$TEMPFILE', 'w') as f: + f.write(answer) + " <&3 + + exec 3<&- + + # Read the answer from the temporary file + ANSWER=$(cat $TEMPFILE) + + # Clean up the temporary file + rm $TEMPFILE + + printf "\n" + + CHAT+=("$1" "$(trim "$ANSWER")") +} + +while true; do + echo -en "\033[0;32m" # Green color + read -r -e -p "> " QUESTION + echo -en "\033[0m" # Reset color + chat_completion "${QUESTION}" +done diff --git a/examples/server/completion.js.hpp b/examples/server/completion.js.hpp index f399fb19a6bc8..f0a071a69bca1 100644 --- a/examples/server/completion.js.hpp +++ b/examples/server/completion.js.hpp @@ -87,289 +87,342 @@ unsigned char completion_js[] = { 0x20, 0x54, 0x65, 0x78, 0x74, 0x44, 0x65, 0x63, 0x6f, 0x64, 0x65, 0x72, 0x28, 0x29, 0x3b, 0x0a, 0x0a, 0x20, 0x20, 0x6c, 0x65, 0x74, 0x20, 0x63, 0x6f, 0x6e, 0x74, 0x65, 0x6e, 0x74, 0x20, 0x3d, 0x20, 0x22, 0x22, 0x3b, - 0x0a, 0x0a, 0x20, 0x20, 0x74, 0x72, 0x79, 0x20, 0x7b, 0x0a, 0x20, 0x20, - 0x20, 0x20, 0x6c, 0x65, 0x74, 0x20, 0x63, 0x6f, 0x6e, 0x74, 0x20, 0x3d, - 0x20, 0x74, 0x72, 0x75, 0x65, 0x3b, 0x0a, 0x0a, 0x20, 0x20, 0x20, 0x20, - 0x77, 0x68, 0x69, 0x6c, 0x65, 0x20, 0x28, 0x63, 0x6f, 0x6e, 0x74, 0x29, - 0x20, 0x7b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x63, 0x6f, 0x6e, - 0x73, 0x74, 0x20, 0x72, 0x65, 0x73, 0x75, 0x6c, 0x74, 0x20, 0x3d, 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TextDecoder(); let content = ""; + let leftover = ""; // Buffer for partially read lines try { let cont = true; @@ -53,29 +54,47 @@ export async function* llama(prompt, params = {}, config = {}) { break; } - // sse answers in the form multiple lines of: value\n with data always present as a key. in our case we - // mainly care about the data: key here, which we expect as json - const text = decoder.decode(result.value); + // Add any leftover data to the current chunk of data + const text = leftover + decoder.decode(result.value); - // parse all sse events and add them to result - const regex = /^(\S+):\s(.*)$/gm; - for (const match of text.matchAll(regex)) { - result[match[1]] = match[2] - } + // Check if the last character is a line break + const endsWithLineBreak = text.endsWith('\n'); - // since we know this is llama.cpp, let's just decode the json in data - result.data = JSON.parse(result.data); - content += result.data.content; + // Split the text into lines + let lines = text.split('\n'); - // yield - yield result; + // If the text doesn't end with a line break, then the last line is incomplete + // Store it in leftover to be added to the next chunk of data + if (!endsWithLineBreak) { + leftover = lines.pop(); + } else { + leftover = ""; // Reset leftover if we have a line break at the end + } - // if we got a stop token from server, we will break here - if (result.data.stop) { - if (result.data.generation_settings) { - generation_settings = result.data.generation_settings; + // Parse all sse events and add them to result + const regex = /^(\S+):\s(.*)$/gm; + for (const line of lines) { + const match = regex.exec(line); + if (match) { + result[match[1]] = match[2] + // since we know this is llama.cpp, let's just decode the json in data + if (result.data) { + result.data = JSON.parse(result.data); + content += result.data.content; + + // yield + yield result; + + // if we got a stop token from server, we will break here + if (result.data.stop) { + if (result.data.generation_settings) { + generation_settings = result.data.generation_settings; + } + cont = false; + break; + } + } } - break; } } } catch (e) { diff --git a/examples/server/public/index.html b/examples/server/public/index.html index ea93de4aafc48..de41da187a40f 100644 --- a/examples/server/public/index.html +++ b/examples/server/public/index.html @@ -3,12 +3,11 @@ + llama.cpp - chat - + - +
@@ -310,7 +310,7 @@ Model Choice:
-
Claude Compatibility Rename Fix
+
Claude Compatibility Rename Fix
@@ -445,7 +445,7 @@ Unsaved data will be lost.

- +
@@ -508,8 +508,8 @@ Unsaved data will be lost.

AI Name ?The name of the person you want to chat with. Multiple opponents can be specified, creating a group chat, separate their names with ||$|| - - + +
@@ -536,8 +536,8 @@ Unsaved data will be lost.

End Seq.?The sequence to end an instruction prompt - - + +
Enable Markdown ?Allows the UI to use markdown formatting such as quotes and code blocks.
@@ -627,6 +627,7 @@ A/N Strength +

Extra Stopping Sequence (Kobold API Only) ?Triggers the text generator to stop generating early if this sequence appears, in addition to default stop sequences. If you want multiple sequences, separate them with the following delimiter: ||$||
diff --git a/koboldcpp.py b/koboldcpp.py index d9b8c91b31447..2d6d5a79a577e 100755 --- a/koboldcpp.py +++ b/koboldcpp.py @@ -24,6 +24,7 @@ class load_model_inputs(ctypes.Structure): ("batch_size", ctypes.c_int), ("f16_kv", ctypes.c_bool), ("low_vram", ctypes.c_bool), + ("use_mmq", ctypes.c_bool), ("executable_path", ctypes.c_char_p), ("model_filename", ctypes.c_char_p), ("lora_filename", ctypes.c_char_p), @@ -66,7 +67,7 @@ class generation_inputs(ctypes.Structure): class generation_outputs(ctypes.Structure): _fields_ = [("status", ctypes.c_int), - ("text", ctypes.c_char * 16384)] + ("text", ctypes.c_char * 24576)] handle = None @@ -90,29 +91,30 @@ def pick_existant_file(ntoption,nonntoption): lib_default = pick_existant_file("koboldcpp.dll","koboldcpp.so") lib_failsafe = pick_existant_file("koboldcpp_failsafe.dll","koboldcpp_failsafe.so") lib_openblas = pick_existant_file("koboldcpp_openblas.dll","koboldcpp_openblas.so") -lib_openblas_noavx2 = pick_existant_file("koboldcpp_openblas_noavx2.dll","koboldcpp_openblas_noavx2.so") +lib_noavx2 = pick_existant_file("koboldcpp_noavx2.dll","koboldcpp_noavx2.so") lib_clblast = pick_existant_file("koboldcpp_clblast.dll","koboldcpp_clblast.so") lib_cublas = pick_existant_file("koboldcpp_cublas.dll","koboldcpp_cublas.so") def init_library(): global handle - global lib_default,lib_failsafe,lib_openblas,lib_openblas_noavx2,lib_clblast,lib_cublas + global lib_default,lib_failsafe,lib_openblas,lib_noavx2,lib_clblast,lib_cublas libname = "" - use_blas = False # if true, uses OpenBLAS for acceleration. libopenblas.dll must exist in the same dir. + use_openblas = False # if true, uses OpenBLAS for acceleration. libopenblas.dll must exist in the same dir. use_clblast = False #uses CLBlast instead use_cublas = False #uses cublas instead - use_noavx2 = False #uses openblas with no avx2 instructions + use_noavx2 = False #uses no avx2 instructions + use_failsafe = False #uses no intrinsics, failsafe mode if args.noavx2: use_noavx2 = True - if not file_exists(lib_openblas_noavx2) or (os.name=='nt' and not file_exists("libopenblas.dll")): - print("Warning: OpenBLAS library file not found. Non-BLAS library will be used.") - elif args.noblas: + if not file_exists(lib_noavx2): + print("Warning: NoAVX2 library file not found. Failsafe library will be used.") + elif (args.noblas and args.nommap): + use_failsafe = True print("!!! Attempting to use FAILSAFE MODE !!!") else: - use_blas = True - print("Attempting to use non-avx2 compatibility library with OpenBLAS. A compatible libopenblas will be required.") + print("Attempting to use non-avx2 compatibility library.") elif args.useclblast: if not file_exists(lib_clblast) or (os.name=='nt' and not file_exists("clblast.dll")): print("Warning: CLBlast library file not found. Non-BLAS library will be used.") @@ -131,22 +133,22 @@ def init_library(): elif args.noblas: print("Attempting to library without OpenBLAS.") else: - use_blas = True + use_openblas = True print("Attempting to use OpenBLAS library for faster prompt ingestion. A compatible libopenblas will be required.") if sys.platform=="darwin": print("Mac OSX note: Some people have found Accelerate actually faster than OpenBLAS. To compare, run Koboldcpp with --noblas instead.") if use_noavx2: - if use_blas: - libname = lib_openblas_noavx2 - else: + if use_failsafe: libname = lib_failsafe + else: + libname = lib_noavx2 else: if use_clblast: libname = lib_clblast elif use_cublas: libname = lib_cublas - elif use_blas: + elif use_openblas: libname = lib_openblas else: libname = lib_default @@ -179,6 +181,7 @@ def load_model(model_filename): inputs.max_context_length = maxctx #initial value to use for ctx, can be overwritten inputs.threads = args.threads inputs.low_vram = (True if (args.usecublas and "lowvram" in args.usecublas) else False) + inputs.use_mmq = (True if (args.usecublas and "mmq" in args.usecublas) else False) inputs.blasthreads = args.blasthreads inputs.f16_kv = True inputs.use_mmap = (not args.nommap) @@ -230,12 +233,17 @@ def load_model(model_filename): return ret def generate(prompt,max_length=20, max_context_length=512, temperature=0.8, top_k=120, top_a=0.0, top_p=0.85, typical_p=1.0, tfs=1.0, rep_pen=1.1, rep_pen_range=128, mirostat=0, mirostat_tau=5.0, mirostat_eta=0.1, sampler_order=[6,0,1,3,4,2,5], seed=-1, stop_sequence=[], stream_sse=False): + global maxctx inputs = generation_inputs() outputs = ctypes.create_unicode_buffer(ctypes.sizeof(generation_outputs)) inputs.prompt = prompt.encode("UTF-8") if max_length >= max_context_length: max_length = max_context_length-1 inputs.max_context_length = max_context_length # this will resize the context buffer if changed + global showmaxctxwarning + if showmaxctxwarning and max_context_length > maxctx: + print(f"\n(Warning! Request max_context_length={max_context_length} exceeds allocated context size of {maxctx}. Consider launching with increased --contextsize to avoid errors. This message will only show once per session.)") + showmaxctxwarning = False inputs.max_length = max_length inputs.temperature = temperature inputs.top_k = top_k @@ -296,9 +304,10 @@ def utfprint(str): maxhordelen = 256 modelbusy = threading.Lock() defaultport = 5001 -KcppVersion = "1.37.1" +KcppVersion = "1.39.1" showdebug = True showsamplerwarning = True +showmaxctxwarning = True exitcounter = 0 class ServerRequestHandler(http.server.SimpleHTTPRequestHandler): @@ -394,6 +403,7 @@ async def handle_sse_stream(self): current_token = 0 + incomplete_token_buffer = bytearray() while not handle.has_finished(): if current_token < handle.get_stream_count(): token = handle.new_token(current_token) @@ -403,10 +413,14 @@ async def handle_sse_stream(self): current_token += 1 - tokenStr = ctypes.string_at(token).decode("UTF-8","ignore") - event_data = {"token": tokenStr} - event_str = json.dumps(event_data) - await self.send_sse_event("message", event_str) + newbyte = ctypes.string_at(token) + incomplete_token_buffer += bytearray(newbyte) + tokenStr = incomplete_token_buffer.decode("UTF-8","ignore") + if tokenStr!="": + incomplete_token_buffer.clear() + event_data = {"token": tokenStr} + event_str = json.dumps(event_data) + await self.send_sse_event("message", event_str) await asyncio.sleep(0) @@ -559,9 +573,12 @@ def do_POST(self): newprompt = fullprompt gen = asyncio.run(self.handle_request(genparams, newprompt, basic_api_flag, kai_sse_stream_flag)) + try: - self.send_response(200) - self.end_headers() + # Headers are already sent when streaming + if not kai_sse_stream_flag: + self.send_response(200) + self.end_headers() self.wfile.write(json.dumps(gen).encode()) except: print("Generate: The response could not be sent, maybe connection was terminated?") @@ -630,7 +647,7 @@ def stop(self): exitcounter = 999 self.httpd.server_close() - numThreads = 6 + numThreads = 8 threadArr = [] for i in range(numThreads): threadArr.append(Thread(i)) @@ -663,7 +680,7 @@ def show_new_gui(): import customtkinter as ctk nextstate = 0 #0=exit, 1=launch, 2=oldgui - windowwidth = 520 + windowwidth = 530 windowheight = 500 ctk.set_appearance_mode("dark") root = ctk.CTk() @@ -690,14 +707,14 @@ def show_new_gui(): (lib_clblast, "Use CLBlast"), (lib_cublas, "Use CuBLAS/hipBLAS"), (lib_default, "Use No BLAS"), - (lib_openblas_noavx2, "Use OpenBLAS (Old CPU, noavx2)"), - (lib_failsafe, "Failsafe Mode (Old CPU, noavx)")] - openblas_option, clblast_option, cublas_option, default_option, openblas_noavx2_option, failsafe_option = (opt if file_exists(lib) or (os.name == 'nt' and file_exists(opt + ".dll")) else None for lib, opt in lib_option_pairs) + (lib_noavx2, "NoAVX2 Mode (Old CPU)"), + (lib_failsafe, "Failsafe Mode (Old CPU)")] + openblas_option, clblast_option, cublas_option, default_option, noavx2_option, failsafe_option = (opt if file_exists(lib) or (os.name == 'nt' and file_exists(opt + ".dll")) else None for lib, opt in lib_option_pairs) # slider data - blasbatchsize_values = ["-1", "32", "64", "128", "256", "512", "1024"] - blasbatchsize_text = ["Don't Batch BLAS","32","64","128","256","512","1024"] - contextsize_text = ["512", "1024", "2048", "3072", "4096", "6144", "8192"] - runopts = [opt for lib, opt in lib_option_pairs if file_exists(lib) or os.name == 'nt' and file_exists(opt + ".dll")] + blasbatchsize_values = ["-1", "32", "64", "128", "256", "512", "1024", "2048"] + blasbatchsize_text = ["Don't Batch BLAS","32","64","128","256","512","1024","2048"] + contextsize_text = ["512", "1024", "2048", "3072", "4096", "6144", "8192", "12288", "16384"] + runopts = [opt for lib, opt in lib_option_pairs if file_exists(lib) or os.name == 'nt' and file_exists(opt + ".dll")] antirunopts = [opt.replace("Use ", "") for lib, opt in lib_option_pairs if not file_exists(lib) or os.name == 'nt' and not file_exists(opt + ".dll")] if not any(runopts): show_gui_warning("No Backend Available") @@ -812,6 +829,32 @@ def hide_tooltip(event): tooltip = show_tooltip._tooltip tooltip.withdraw() + def show_tooltip(event, tooltip_text=None): + if hasattr(show_tooltip, "_tooltip"): + tooltip = show_tooltip._tooltip + else: + tooltip = ctk.CTkToplevel(root) + tooltip.configure(fg_color="#ffffe0") + tooltip.withdraw() + tooltip.overrideredirect(True) + tooltip_label = ctk.CTkLabel(tooltip, text=tooltip_text, text_color="#000000", fg_color="#ffffe0") + tooltip_label.pack(expand=True, padx=2, pady=1) + show_tooltip._tooltip = tooltip + x, y = root.winfo_pointerxy() + tooltip.wm_geometry(f"+{x + 10}+{y + 10}") + tooltip.deiconify() + def hide_tooltip(event): + if hasattr(show_tooltip, "_tooltip"): + tooltip = show_tooltip._tooltip + tooltip.withdraw() + def setup_backend_tooltip(parent): + num_backends_built = makelabel(parent, str(len(runopts)) + "/6", 5, 2) + num_backends_built.grid(row=1, column=2, padx=0, pady=0) + num_backends_built.configure(text_color="#00ff00") + # Bind the backend count label with the tooltip function + num_backends_built.bind("", lambda event: show_tooltip(event, f"This is the number of backends you have built and available." + (f"\nMissing: {', '.join(antirunopts)}" if len(runopts) != 6 else ""))) + num_backends_built.bind("", hide_tooltip) + # Vars - should be in scope to be used by multiple widgets CUdevices, CLdevices = get_device_names() gpulayers_var = ctk.StringVar(value="0") @@ -827,6 +870,7 @@ def hide_tooltip(event): debugmode = ctk.IntVar() lowvram_var = ctk.IntVar() + mmq_var = ctk.IntVar() blas_threads_var = ctk.StringVar() blas_size_var = ctk.IntVar() @@ -864,11 +908,12 @@ def hide_tooltip(event): # gpu options - quick_gpu_layers_entry, quick_gpu_layers_label = makelabelentry(quick_tab, "GPU Layers:", gpulayers_var, 4, 50) + quick_gpu_layers_entry, quick_gpu_layers_label = makelabelentry(quick_tab, "GPU Layers:", gpulayers_var, 5, 50) quick_gpu_selector_label = makelabel(quick_tab, "GPU ID:", 3) quick_gpu_selector_box = ctk.CTkComboBox(quick_tab, values=CLdevices, width=180, variable=gpu_choice_var, state="readonly") CUDA_quick_gpu_selector_box = ctk.CTkComboBox(quick_tab, values=CUdevices, width=180, variable=gpu_choice_var, state="readonly") - quick_lowvram_box = makecheckbox(quick_tab, "Low VRAM", lowvram_var, 5) + quick_lowvram_box = makecheckbox(quick_tab, "Low VRAM", lowvram_var, 4,0) + quick_mmq_box = makecheckbox(quick_tab, "Use QuantMatMul (mmq)", mmq_var, 4,1) def changerunmode(a,b,c): index = runopts_var.get() @@ -892,9 +937,13 @@ def changerunmode(a,b,c): if index == "Use CuBLAS/hipBLAS": lowvram_box.grid(row=4, column=0, padx=8, pady=1, stick="nw") quick_lowvram_box.grid(row=4, column=0, padx=8, pady=1, stick="nw") + mmq_box.grid(row=4, column=1, padx=8, pady=1, stick="nw") + quick_mmq_box.grid(row=4, column=1, padx=8, pady=1, stick="nw") else: lowvram_box.grid_forget() quick_lowvram_box.grid_forget() + mmq_box.grid_forget() + quick_mmq_box.grid_forget() if index == "Use CLBlast" or index == "Use CuBLAS/hipBLAS": gpu_layers_label.grid(row=5, column=0, padx = 8, pady=1, stick="nw") @@ -913,18 +962,15 @@ def changerunmode(a,b,c): runoptbox = ctk.CTkComboBox(quick_tab, values=runopts, width=180,variable=runopts_var, state="readonly") runoptbox.grid(row=1, column=1,padx=8, stick="nw") runoptbox.set(runopts[0]) # Set to first available option + # Tell user how many backends are available - num_backends_built = makelabel(quick_tab, str(len(runopts)) + "/6", 5, 2) - num_backends_built.grid(row=1, column=2, padx=0, pady=0) - num_backends_built.configure(text_color="#00ff00") - # Bind the backend count label with the tooltip function - num_backends_built.bind("", lambda event: show_tooltip(event, f"This is the number of backends you have built and available." + (f"\nMissing: {', '.join(antirunopts)}" if len(runopts) != 6 else ""))) - num_backends_built.bind("", hide_tooltip) + setup_backend_tooltip(quick_tab) + # threads makelabelentry(quick_tab, "Threads:" , threads_var, 8, 50) # blas batch size - makeslider(quick_tab, "BLAS Batch Size:", blasbatchsize_text, blas_size_var, 0, 6, 12, set=5) + makeslider(quick_tab, "BLAS Batch Size:", blasbatchsize_text, blas_size_var, 0, 7, 12, set=5) # quick boxes quick_boxes = {"Launch Browser": launchbrowser , "High Priority" : highpriority, "Streaming Mode":stream, "Use SmartContext":smartcontext, "Unban Tokens":unbantokens, "Disable MMAP":disablemmap,} @@ -940,11 +986,12 @@ def changerunmode(a,b,c): hardware_tab = tabcontent["Hardware"] # gpu options - gpu_layers_entry,gpu_layers_label = makelabelentry(hardware_tab,"GPU Layers:", gpulayers_var, 4, 50) + gpu_layers_entry,gpu_layers_label = makelabelentry(hardware_tab,"GPU Layers:", gpulayers_var, 5, 50) gpu_selector_label = makelabel(hardware_tab, "GPU ID:", 3) gpu_selector_box = ctk.CTkComboBox(hardware_tab, values=CLdevices, width=180, variable=gpu_choice_var, state="readonly") CUDA_gpu_selector_box = ctk.CTkComboBox(hardware_tab, values=CUdevices, width=180, variable=gpu_choice_var, state="readonly") - lowvram_box = makecheckbox(hardware_tab, "Low VRAM", lowvram_var, 5) + lowvram_box = makecheckbox(hardware_tab, "Low VRAM", lowvram_var, 4,0) + mmq_box = makecheckbox(hardware_tab, "Use QuantMatMul (mmq)", mmq_var, 4,1) # presets selector makelabel(hardware_tab, "Presets:", 1) @@ -955,12 +1002,8 @@ def changerunmode(a,b,c): changerunmode(1,1,1) # Tell user how many backends are available - num_backends_built = makelabel(hardware_tab, str(len(runopts)) + "/6", 5, 2) - num_backends_built.grid(row=1, column=2, padx=0, pady=0) - num_backends_built.configure(text_color="#00ff00") - # Bind the backend count label with the tooltip function - num_backends_built.bind("", lambda event: show_tooltip(event, f"This is the number of backends you have built and available." + (f"\nMissing: {', '.join(antirunopts)}" if len(runopts) != 6 else ""))) - num_backends_built.bind("", hide_tooltip) + setup_backend_tooltip(hardware_tab) + # threads makelabelentry(hardware_tab, "Threads:" , threads_var, 8, 50) @@ -973,7 +1016,7 @@ def changerunmode(a,b,c): # blas thread specifier makelabelentry(hardware_tab, "BLAS threads:" , blas_threads_var, 11, 50) # blas batch size - makeslider(hardware_tab, "BLAS Batch Size:", blasbatchsize_text, blas_size_var, 0, 6, 12, set=5) + makeslider(hardware_tab, "BLAS Batch Size:", blasbatchsize_text, blas_size_var, 0, 7, 12, set=5) # force version makelabelentry(hardware_tab, "Force Version:" , version_var, 100, 50) @@ -1000,7 +1043,7 @@ def togglemiro(a,b,c): togglemiro(1,1,1) # context size - makeslider(tokens_tab, "Context Size:",contextsize_text, context_var, 0, 4, 20, set=2) + makeslider(tokens_tab, "Context Size:",contextsize_text, context_var, 0, len(contextsize_text)-1, 20, set=2) customrope_scale_entry, customrope_scale_label = makelabelentry(tokens_tab, "RoPE Scale:", customrope_scale) @@ -1097,13 +1140,15 @@ def export_vars(): args.usecublas = ["lowvram"] if lowvram_var.get() == 1 else ["normal"] else: args.usecublas = ["lowvram",str(gpuchoiceidx)] if lowvram_var.get() == 1 else ["normal",str(gpuchoiceidx)] + if mmq_var.get()==1: + args.usecublas.append("mmq") if gpulayers_var.get(): args.gpulayers = int(gpulayers_var.get()) if runopts_var.get()=="Use No BLAS": args.noblas = True - if runopts_var.get()=="Use OpenBLAS (Old CPU, noavx2)": + if runopts_var.get()=="NoAVX2 Mode (Old CPU)": args.noavx2 = True - if runopts_var.get()=="Failsafe Mode (Old CPU, noavx)": + if runopts_var.get()=="Failsafe Mode (Old CPU)": args.noavx2 = True args.noblas = True args.nommap = True @@ -1113,7 +1158,7 @@ def export_vars(): args.blasbatchsize = int(blasbatchsize_values[int(blas_size_var.get())]) args.forceversion = 0 if version_var.get()=="" else int(version_var.get()) - args.mirostat = [int(mirostat_var.get()), float(mirostat_tau.get()), float(mirostat_eta.get())] if usemirostat.get()==1 else None + args.usemirostat = [int(mirostat_var.get()), float(mirostat_tau.get()), float(mirostat_eta.get())] if usemirostat.get()==1 else None args.contextsize = int(contextsize_text[context_var.get()]) if customrope_var.get()==1: @@ -1162,8 +1207,8 @@ def import_vars(dict): if failsafe_option is not None: runopts_var.set(failsafe_option) elif "noavx2" in dict and dict["noavx2"]: - if openblas_noavx2_option is not None: - runopts_var.set(openblas_noavx2_option) + if noavx2_option is not None: + runopts_var.set(noavx2_option) elif "noblas" in dict and dict["noblas"]: if default_option is not None: runopts_var.set(default_option) @@ -1190,11 +1235,11 @@ def import_vars(dict): if "forceversion" in dict and dict["forceversion"]: version_var.set(str(dict["forceversion"])) - if "mirostat" in dict and dict["mirostat"] and len(dict["mirostat"])>1: - usemirostat.set(0 if str(dict["mirostat"][0])=="0" else 1) - mirostat_var.set(str(dict["mirostat"][0])) - mirostat_tau.set(str(dict["mirostat"][1])) - mirostat_eta.set(str(dict["mirostat"][2])) + if "usemirostat" in dict and dict["usemirostat"] and len(dict["usemirostat"])>1: + usemirostat.set(0 if str(dict["usemirostat"][0])=="0" else 1) + mirostat_var.set(str(dict["usemirostat"][0])) + mirostat_tau.set(str(dict["usemirostat"][1])) + mirostat_eta.set(str(dict["usemirostat"][2])) if "model_param" in dict and dict["model_param"]: model_var.set(dict["model_param"]) @@ -1242,12 +1287,20 @@ def load_config(): import_vars(dict) pass - ctk.CTkButton(tabs , text = "Launch", fg_color="#2f8d3c", command = guilaunch, width=80, height = 35 ).grid(row=1,column=1, stick="se", padx= 25, pady=5) + def display_help(): + try: + import webbrowser as wb + wb.open("https://github.com/LostRuins/koboldcpp/wiki") + except: + print("Cannot launch help browser.") + + ctk.CTkButton(tabs , text = "Launch", fg_color="#2f8d3c", hover_color="#2faa3c", command = guilaunch, width=80, height = 35 ).grid(row=1,column=1, stick="se", padx= 25, pady=5) - ctk.CTkButton(tabs , text = "Save", fg_color="#084a66", command = save_config, width=60, height = 35 ).grid(row=1,column=1, stick="sw", padx= 5, pady=5) - ctk.CTkButton(tabs , text = "Load", fg_color="#084a66", command = load_config, width=60, height = 35 ).grid(row=1,column=1, stick="sw", padx= 70, pady=5) + ctk.CTkButton(tabs , text = "Save", fg_color="#084a66", hover_color="#085a88", command = save_config, width=60, height = 35 ).grid(row=1,column=1, stick="sw", padx= 5, pady=5) + ctk.CTkButton(tabs , text = "Load", fg_color="#084a66", hover_color="#085a88", command = load_config, width=60, height = 35 ).grid(row=1,column=1, stick="sw", padx= 70, pady=5) + ctk.CTkButton(tabs , text = "Help", fg_color="#992222", hover_color="#bb3333", command = display_help, width=60, height = 35 ).grid(row=1,column=1, stick="sw", padx= 135, pady=5) - ctk.CTkButton(tabs , text = "Old GUI", fg_color="#084a66", command = switch_old_gui, width=100, height = 35 ).grid(row=1,column=0, stick="sw", padx= 5, pady=5) + ctk.CTkButton(tabs , text = "Old GUI", fg_color="#084a66", hover_color="#085a88", command = switch_old_gui, width=100, height = 35 ).grid(row=1,column=0, stick="sw", padx= 5, pady=5) # runs main loop until closed or launch clicked root.mainloop() @@ -1307,11 +1360,11 @@ def guilaunch(): tk.Label(root, text = "(Note: KoboldCpp only works with GGML model formats!)", font = ("Arial", 9)).grid(row=1,column=0) - blasbatchopts = ["Don't Batch BLAS","BLAS = 32","BLAS = 64","BLAS = 128","BLAS = 256","BLAS = 512","BLAS = 1024"] + blasbatchopts = ["Don't Batch BLAS","BLAS = 32","BLAS = 64","BLAS = 128","BLAS = 256","BLAS = 512","BLAS = 1024","BLAS = 2048"] blaschoice = tk.StringVar() blaschoice.set("BLAS = 512") - runopts = ["Use OpenBLAS","Use CLBLast GPU #1","Use CLBLast GPU #2","Use CLBLast GPU #3","Use CuBLAS/hipBLAS GPU","Use No BLAS","Use OpenBLAS (Old CPU, noavx2)","Failsafe Mode (Old CPU, noavx)"] + runopts = ["Use OpenBLAS","Use CLBLast GPU #1","Use CLBLast GPU #2","Use CLBLast GPU #3","Use CuBLAS/hipBLAS GPU","Use No BLAS","NoAVX2 Mode (Old CPU)","Failsafe Mode (Old CPU)"] runchoice = tk.StringVar() runchoice.set("Use OpenBLAS") @@ -1402,7 +1455,6 @@ def onDropdownChange(event): args.noavx2 = True args.noblas = True args.nommap = True - print("[Failsafe Mode : mmap is disabled.]") if selblaschoice==blasbatchopts[0]: args.blasbatchsize = -1 @@ -1418,6 +1470,8 @@ def onDropdownChange(event): args.blasbatchsize = 512 if selblaschoice==blasbatchopts[6]: args.blasbatchsize = 1024 + if selblaschoice==blasbatchopts[7]: + args.blasbatchsize = 2048 root = tk.Tk() root.attributes("-alpha", 0) @@ -1715,8 +1769,8 @@ def main(args): parser.add_argument("--blasthreads", help="Use a different number of threads during BLAS if specified. Otherwise, has the same value as --threads",metavar=('[threads]'), type=int, default=0) parser.add_argument("--psutil_set_threads", help="Experimental flag. If set, uses psutils to determine thread count based on physical cores.", action='store_true') parser.add_argument("--highpriority", help="Experimental flag. If set, increases the process CPU priority, potentially speeding up generation. Use caution.", action='store_true') - parser.add_argument("--contextsize", help="Controls the memory allocated for maximum context size, only change if you need more RAM for big contexts. (default 2048)", type=int,choices=[512,1024,2048,3072,4096,6144,8192], default=2048) - parser.add_argument("--blasbatchsize", help="Sets the batch size used in BLAS processing (default 512). Setting it to -1 disables BLAS mode, but keeps other benefits like GPU offload.", type=int,choices=[-1,32,64,128,256,512,1024], default=512) + parser.add_argument("--contextsize", help="Controls the memory allocated for maximum context size, only change if you need more RAM for big contexts. (default 2048)", type=int,choices=[512,1024,2048,3072,4096,6144,8192,12288,16384], default=2048) + parser.add_argument("--blasbatchsize", help="Sets the batch size used in BLAS processing (default 512). Setting it to -1 disables BLAS mode, but keeps other benefits like GPU offload.", type=int,choices=[-1,32,64,128,256,512,1024,2048], default=512) parser.add_argument("--ropeconfig", help="If set, uses customized RoPE scaling from configured frequency scale and frequency base (e.g. --ropeconfig 0.25 10000). Otherwise, uses NTK-Aware scaling set automatically based on context size. For linear rope, simply set the freq-scale and ignore the freq-base",metavar=('[rope-freq-scale]', '[rope-freq-base]'), default=[0.0, 10000.0], type=float, nargs='+') parser.add_argument("--stream", help="Uses streaming when generating tokens. Only for the Kobold Lite UI.", action='store_true') parser.add_argument("--smartcontext", help="Reserving a portion of context to try processing less frequently.", action='store_true') @@ -1733,7 +1787,7 @@ def main(args): compatgroup = parser.add_mutually_exclusive_group() compatgroup.add_argument("--noblas", help="Do not use OpenBLAS for accelerated prompt ingestion", action='store_true') compatgroup.add_argument("--useclblast", help="Use CLBlast for GPU Acceleration. Must specify exactly 2 arguments, platform ID and device ID (e.g. --useclblast 1 0).", type=int, choices=range(0,9), nargs=2) - compatgroup.add_argument("--usecublas", help="Use CuBLAS/hipBLAS for GPU Acceleration. Requires CUDA. Select lowvram to not allocate VRAM scratch buffer. Enter a number afterwards to select and use 1 GPU. Leaving no number will use all GPUs.", nargs='*',metavar=('[lowvram|normal] [main GPU ID]'), choices=['normal', 'lowvram', '0', '1', '2']) + compatgroup.add_argument("--usecublas", help="Use CuBLAS/hipBLAS for GPU Acceleration. Requires CUDA. Select lowvram to not allocate VRAM scratch buffer. Enter a number afterwards to select and use 1 GPU. Leaving no number will use all GPUs.", nargs='*',metavar=('[lowvram|normal] [main GPU ID] [mmq]'), choices=['normal', 'lowvram', '0', '1', '2', 'mmq']) parser.add_argument("--gpulayers", help="Set number of layers to offload to GPU when using GPU. Requires GPU.",metavar=('[GPU layers]'), type=int, default=0) parser.add_argument("--tensor_split", help="For CUDA with ALL GPU set only, ratio to split tensors across multiple GPUs, space-separated list of proportions, e.g. 7 3", metavar=('[Ratios]'), type=float, nargs='+') diff --git a/llama-util.h b/llama-util.h index e1e7fd748c072..a97520108c508 100644 --- a/llama-util.h +++ b/llama-util.h @@ -149,6 +149,46 @@ struct llama_file { } }; +// llama_context_data +struct llama_data_context { + virtual void write(const void * src, size_t size) = 0; + virtual size_t get_size_written() = 0; + virtual ~llama_data_context() = default; +}; + +struct llama_data_buffer_context : llama_data_context { + uint8_t* ptr; + size_t size_written = 0; + + llama_data_buffer_context(uint8_t * p) : ptr(p) {} + + void write(const void * src, size_t size) override { + memcpy(ptr, src, size); + ptr += size; + size_written += size; + } + + size_t get_size_written() override { + return size_written; + } +}; + +struct llama_data_file_context : llama_data_context { + llama_file* file; + size_t size_written = 0; + + llama_data_file_context(llama_file * f) : file(f) {} + + void write(const void * src, size_t size) override { + file->write_raw(src, size); + size_written += size; + } + + size_t get_size_written() override { + return size_written; + } +}; + #if defined(_WIN32) static std::string llama_format_win_err(DWORD err) { LPSTR buf; @@ -179,7 +219,7 @@ struct llama_mmap { // prefetch/readahead impairs performance on NUMA systems if (numa) { prefetch = 0; } #ifdef __linux__ - if (prefetch) { flags |= MAP_POPULATE; } + if (prefetch >= file->size) { flags |= MAP_POPULATE; } #endif addr = mmap(NULL, file->size, PROT_READ, flags, fd, 0); if (addr == MAP_FAILED) { @@ -247,7 +287,7 @@ struct llama_mmap { #pragma message("warning: You are building for pre-Windows 8; prefetch not supported") #endif // _WIN32_WINNT >= _WIN32_WINNT_WIN8 #else - printf("\nPrefetchVirtualMemory skipped in failsafe mode."); + printf("\nPrefetchVirtualMemory skipped in compatibility mode.\n"); #endif } diff --git a/llama.cpp b/llama.cpp index 7ec893415eb33..b78b016e4a7c3 100644 --- a/llama.cpp +++ b/llama.cpp @@ -57,8 +57,14 @@ #pragma warning(disable: 4244 4267) // possible loss of data #endif +#if !defined(GGML_USE_CUBLAS) && !defined(GGML_USE_METAL) +#include "ggml-alloc.h" +#define LLAMA_USE_ALLOCATOR +#else #define LLAMA_USE_SCRATCH #define LLAMA_MAX_SCRATCH_BUFFERS 16 +#endif + // available llama models enum e_model { @@ -328,13 +334,22 @@ struct llama_model { struct llama_context { llama_context(const llama_model & model) : model(model), t_load_us(model.t_load_us), t_start_us(model.t_start_us) {} -#ifdef GGML_USE_METAL ~llama_context() { + if (model_owner) { + delete &model; + } +#ifdef GGML_USE_METAL if (ctx_metal) { ggml_metal_free(ctx_metal); } - } #endif +#ifdef LLAMA_USE_ALLOCATOR + if (alloc) { + ggml_allocr_free(alloc); + } +#endif + } + std::mt19937 rng; bool has_evaluated_once = false; @@ -372,7 +387,17 @@ struct llama_context { // memory buffers used to evaluate the model // TODO: move in llama_state llama_ctx_buffer buf_compute; + +#ifdef LLAMA_USE_ALLOCATOR + llama_ctx_buffer buf_alloc; + ggml_allocr * alloc = NULL; +#endif + +#ifdef LLAMA_USE_SCRATCH llama_ctx_buffer buf_scratch[LLAMA_MAX_SCRATCH_BUFFERS]; + int buf_last = 0; + size_t buf_max_size[LLAMA_MAX_SCRATCH_BUFFERS] = { 0 }; +#endif #ifdef GGML_USE_METAL ggml_metal_context * ctx_metal = NULL; @@ -382,9 +407,6 @@ struct llama_context { ggml_mpi_context * ctx_mpi = NULL; #endif - int buf_last = 0; - size_t buf_max_size[LLAMA_MAX_SCRATCH_BUFFERS] = { 0 }; - void use_buf(struct ggml_context * ctx, int i) { #if defined(LLAMA_USE_SCRATCH) size_t last_size = 0; @@ -726,12 +748,12 @@ struct llama_model_loader { void load_all_data(llama_progress_callback progress_callback, void * progress_callback_user_data, llama_mlock * lmlock) { size_t data_size = 0; - size_t prefetch_size = 0; + size_t prefetch_size = file_loader->file.size; size_t lock_size = 0; for (const llama_load_tensor & lt : tensors_map.tensors) { data_size += lt.size; - if (lt.ggml_tensor->backend == GGML_BACKEND_CPU) { - prefetch_size += lt.size; + if (lt.ggml_tensor->backend != GGML_BACKEND_CPU) { + prefetch_size -= lt.size; } } @@ -880,6 +902,7 @@ struct llama_context_params llama_context_default_params() { /*.progress_callback =*/ nullptr, /*.progress_callback_user_data =*/ nullptr, /*.low_vram =*/ false, + /*.mul_mat_q =*/ false, /*.f16_kv =*/ true, /*.logits_all =*/ false, /*.vocab_only =*/ false, @@ -1007,6 +1030,7 @@ static void llama_model_load_internal( int n_gpu_layers, int main_gpu, const float * tensor_split, + const bool mul_mat_q, float rope_freq_base, float rope_freq_scale, bool low_vram, @@ -1018,7 +1042,7 @@ static void llama_model_load_internal( void * progress_callback_user_data) { model.t_start_us = ggml_time_us(); - size_t blasbatchmul = (n_batch>512?2:1); + size_t blasbatchmul = (n_batch>512?(n_batch>1024?4:2):1); std::unique_ptr ml(new llama_model_loader(fname, use_mmap)); @@ -1052,7 +1076,7 @@ static void llama_model_load_internal( // LLaMAv2 // TODO: temporary until GGUF //patch for llama2 gqa - if (model.type == e_model::MODEL_65B && hparams.n_mult >= 4096) { + if (model.type == e_model::MODEL_65B && hparams.n_mult == 4096) { fprintf(stderr, "%s: Applying KCPP Patch for 70B model, setting GQA to 8\n", __func__); n_gqa = 8; } @@ -1141,9 +1165,11 @@ static void llama_model_load_internal( } (void) main_gpu; + (void) mul_mat_q; #if defined(GGML_USE_CUBLAS) fprintf(stderr, "%s: using CUDA for GPU acceleration\n", __func__); ggml_cuda_set_main_device(main_gpu); + ggml_cuda_set_mul_mat_q(mul_mat_q); #define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_GPU #define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_GPU_SPLIT #elif defined(GGML_USE_CLBLAST) @@ -1237,12 +1263,16 @@ static void llama_model_load_internal( const size_t scale = memory_type == GGML_TYPE_F32 ? 2 : 1; // this is the total memory required to run the inference - const size_t mem_required = + size_t mem_required = ctx_size + - mmapped_size - vram_weights + // weights in VRAM not in memory + mmapped_size - vram_weights; // weights in VRAM not in memory + +#ifndef LLAMA_USE_ALLOCATOR + mem_required += blasbatchmul*MEM_REQ_SCRATCH0(hparams.n_ctx).at(model.type) + blasbatchmul*MEM_REQ_SCRATCH1().at(model.type) + blasbatchmul*MEM_REQ_EVAL().at(model.type); +#endif // this is the memory required by one llama_state const size_t mem_required_state = @@ -1362,6 +1392,7 @@ static bool llama_model_load( int n_gpu_layers, int main_gpu, const float * tensor_split, + const bool mul_mat_q, float rope_freq_base, float rope_freq_scale, bool low_vram, @@ -1372,7 +1403,8 @@ static bool llama_model_load( llama_progress_callback progress_callback, void *progress_callback_user_data) { try { - llama_model_load_internal(fname, model, vocab, n_ctx, n_batch, n_gqa, rms_norm_eps, n_gpu_layers, main_gpu, tensor_split, rope_freq_base, rope_freq_scale, low_vram, memory_type, + llama_model_load_internal(fname, model, vocab, n_ctx, n_batch, n_gqa, rms_norm_eps, n_gpu_layers, + main_gpu, tensor_split, mul_mat_q, rope_freq_base, rope_freq_scale, low_vram, memory_type, use_mmap, use_mlock, vocab_only, progress_callback, progress_callback_user_data); return true; } catch (const std::exception & err) { @@ -1381,32 +1413,15 @@ static bool llama_model_load( } } -// evaluate the transformer -// -// - lctx: llama context -// - tokens: new batch of tokens to process -// - embd embeddings input -// - n_tokens number of tokens -// - n_past: the context size so far -// - n_threads: number of threads to use -// -static bool llama_eval_internal( +static struct ggml_cgraph * llama_build_graph( llama_context & lctx, const llama_token * tokens, const float * embd, int n_tokens, - int n_past, - int n_threads, - const char * cgraph_fname) { + int n_past) { LLAMA_ASSERT((!tokens && embd) || (tokens && !embd)); -#ifdef GGML_USE_MPI - ggml_mpi_eval_init(lctx.ctx_mpi, &n_tokens, &n_past, &n_threads); -#endif - - const int64_t t_start_us = ggml_time_us(); - const int N = n_tokens; const auto & model = lctx.model; @@ -1422,10 +1437,8 @@ static bool llama_eval_internal( const int64_t n_head = hparams.n_head; const int64_t n_head_kv = hparams.n_head_kv; const int64_t n_embd_head = hparams.n_embd_head(); - const int64_t n_vocab = hparams.n_vocab; const int64_t n_embd_gqa = hparams.n_embd_gqa(); - LLAMA_ASSERT(n_embd_head == hparams.n_rot); const float freq_base = hparams.rope_freq_base; @@ -1437,26 +1450,35 @@ static bool llama_eval_internal( auto & mem_per_token = lctx.mem_per_token; auto & buf_compute = lctx.buf_compute; + struct ggml_init_params params = { /*.mem_size =*/ buf_compute.size, /*.mem_buffer =*/ buf_compute.addr, /*.no_alloc =*/ false, }; - struct ggml_context * ctx0 = ggml_init(params); +#ifdef LLAMA_USE_ALLOCATOR + params.no_alloc = true; +#endif - ggml_cgraph gf = {}; + struct ggml_context * ctx0 = ggml_init(params); - // for big prompts, if BLAS is enabled, it is better to use only one thread - // otherwise, the threads are spin-lock waiting for the BLAS calls and are degrading the performance - n_threads = N >= 32 && ggml_cpu_has_blas() && !ggml_cpu_has_gpublas() ? 1 : n_threads; + ggml_cgraph * gf = ggml_new_graph(ctx0); struct ggml_tensor * cur; struct ggml_tensor * inpL; if (tokens) { struct ggml_tensor * inp_tokens = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, N); + +#ifdef LLAMA_USE_ALLOCATOR + ggml_allocr_alloc(lctx.alloc, inp_tokens); + if (!ggml_allocr_is_measure(lctx.alloc)) { + memcpy(inp_tokens->data, tokens, N*ggml_element_size(inp_tokens)); + } +#else memcpy(inp_tokens->data, tokens, N*ggml_element_size(inp_tokens)); +#endif ggml_set_name(inp_tokens, "inp_tokens"); inpL = ggml_get_rows(ctx0, model.tok_embeddings, inp_tokens); @@ -1466,7 +1488,15 @@ static bool llama_eval_internal( #endif inpL = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_embd, N); + +#ifdef LLAMA_USE_ALLOCATOR + ggml_allocr_alloc(lctx.alloc, inpL); + if (!ggml_allocr_is_measure(lctx.alloc)) { + memcpy(inpL->data, embd, N * n_embd * ggml_element_size(inpL)); + } +#else memcpy(inpL->data, embd, N * n_embd * ggml_element_size(inpL)); +#endif } const int i_gpu_start = n_layer - n_gpu_layers; @@ -1493,6 +1523,17 @@ static bool llama_eval_internal( } #endif // GGML_USE_CUBLAS + struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); +#ifdef LLAMA_USE_ALLOCATOR + ggml_allocr_alloc(lctx.alloc, KQ_scale); + if (!ggml_allocr_is_measure(lctx.alloc)) { + ggml_set_f32(KQ_scale, 1.0f/sqrtf(float(n_embd)/n_head)); + } +#else + ggml_set_f32(KQ_scale, 1.0f/sqrtf(float(n_embd)/n_head)); +#endif + ggml_set_name(KQ_scale, "1/sqrt(n_embd_head)"); + for (int il = 0; il < n_layer; ++il) { ggml_format_name(inpL, "layer_inp_%d", il); @@ -1562,8 +1603,8 @@ static bool llama_eval_internal( ggml_set_name(v, "v"); // important: storing RoPE-ed version of K in the KV cache! - ggml_build_forward_expand(&gf, ggml_cpy(ctx0, Kcur, k)); - ggml_build_forward_expand(&gf, ggml_cpy(ctx0, Vcur, v)); + ggml_build_forward_expand(gf, ggml_cpy(ctx0, Kcur, k)); + ggml_build_forward_expand(gf, ggml_cpy(ctx0, Vcur, v)); } struct ggml_tensor * Q = @@ -1588,9 +1629,6 @@ static bool llama_eval_internal( ggml_set_name(KQ, "KQ"); // KQ_scaled = KQ / sqrt(n_embd_head) - struct ggml_tensor * KQ_scale = ggml_new_f32(ctx0, 1.0f/sqrtf(float(n_embd)/n_head)); - ggml_set_name(KQ_scale, "1/sqrt(n_embd_head)"); - // KQ_scaled shape [n_past + N, N, n_head, 1] struct ggml_tensor * KQ_scaled = ggml_scale_inplace(ctx0, KQ, KQ_scale); offload_func_kq(KQ_scaled); @@ -1706,9 +1744,6 @@ static bool llama_eval_internal( lctx.use_buf(ctx0, 0); - // used at the end to optionally extract the embeddings - struct ggml_tensor * embeddings = NULL; - // norm { cur = ggml_rms_norm(ctx0, inpL, rms_norm_eps); @@ -1719,8 +1754,6 @@ static bool llama_eval_internal( cur = ggml_mul(ctx0, cur, model.norm); // offload_func_nr(cur); // TODO CPU + GPU mirrored backend ggml_set_name(cur, "result_norm"); - - embeddings = cur; } // lm_head @@ -1732,23 +1765,103 @@ static bool llama_eval_internal( // logits -> probs //cur = ggml_soft_max_inplace(ctx0, cur); - // run the computation - ggml_build_forward_expand(&gf, cur); + ggml_build_forward_expand(gf, cur); + + if (mem_per_token == 0) { + mem_per_token = ggml_used_mem(ctx0)/N; + } + +#if 0 + printf("\n%s: used_mem: eval ctx %.3f MB, scratch %.3f MB %.3f MB, work buf %.3f MB, n_past = %d, N = %d\n", __func__, + ggml_used_mem(ctx0)/1024.0/1024.0, + lctx.get_buf_max_mem(0)/1024.0/1024.0, + lctx.get_buf_max_mem(1)/1024.0/1024.0, + lctx.work_buffer.size()/1024.0/1024.0, + n_past, N); +#endif + + ggml_free(ctx0); + + return gf; +} + +// evaluate the transformer +// +// - lctx: llama context +// - tokens: new batch of tokens to process +// - embd embeddings input +// - n_tokens number of tokens +// - n_past: the context size so far +// - n_threads: number of threads to use +// +static bool llama_eval_internal( + llama_context & lctx, + const llama_token * tokens, + const float * embd, + int n_tokens, + int n_past, + int n_threads, + const char * cgraph_fname) { + + LLAMA_ASSERT((!tokens && embd) || (tokens && !embd)); + + const int64_t t_start_us = ggml_time_us(); + +#ifdef GGML_USE_MPI + ggml_mpi_eval_init(lctx.ctx_mpi, &n_tokens, &n_past, &n_threads); +#endif + + const int N = n_tokens; + + const auto & model = lctx.model; + const auto & hparams = model.hparams; + + const auto & kv_self = lctx.kv_self; + + LLAMA_ASSERT(!!kv_self.ctx); + + const int64_t n_embd = hparams.n_embd; + const int64_t n_vocab = hparams.n_vocab; + +#ifdef LLAMA_USE_ALLOCATOR + ggml_allocr_reset(lctx.alloc); +#endif + + ggml_cgraph * gf = llama_build_graph(lctx, tokens, embd, n_tokens, n_past); + +#ifdef LLAMA_USE_ALLOCATOR + ggml_allocr_alloc_graph(lctx.alloc, gf); +#endif - // fprintf(stderr, "graph build time: %.3f ms (%d nodes, %d leafs)\n", (ggml_time_us() - t_start_us)/1000.0, gf.n_nodes, gf.n_leafs); + // fprintf(stderr, "graph build time: %.3f ms (%d nodes, %d leafs)\n", (ggml_time_us() - t_start_us)/1000.0, gf->n_nodes, gf->n_leafs); + + // for big prompts, if BLAS is enabled, it is better to use only one thread + // otherwise, the threads are spin-lock waiting for the BLAS calls and are degrading the performance + n_threads = N >= 32 && ggml_cpu_has_blas() && !ggml_cpu_has_gpublas() ? 1 : n_threads; + + struct ggml_tensor * res = gf->nodes[gf->n_nodes - 1]; + struct ggml_tensor * embeddings = gf->nodes[gf->n_nodes - 2]; + + LLAMA_ASSERT(strcmp(res->name, "result_output") == 0); + LLAMA_ASSERT(strcmp(embeddings->name, "result_norm") == 0); #if GGML_USE_MPI - ggml_mpi_graph_compute_pre(lctx.ctx_mpi, &gf, n_layer); + const int64_t n_layer = hparams.n_layer; + ggml_mpi_graph_compute_pre(lctx.ctx_mpi, gf, n_layer); #endif #ifdef GGML_USE_METAL if (lctx.ctx_metal && N == 1) { - if (!ggml_metal_if_optimized(lctx.ctx_metal)) { - ggml_metal_graph_find_concurrency(lctx.ctx_metal,&gf); - } + // TODO: disabled until #2413 is resolved + //if (!ggml_metal_if_optimized(lctx.ctx_metal)) { + // ggml_metal_graph_find_concurrency(lctx.ctx_metal, gf); + //} ggml_metal_set_n_cb (lctx.ctx_metal, n_threads); - ggml_metal_graph_compute(lctx.ctx_metal, &gf); - ggml_metal_get_tensor (lctx.ctx_metal, cur); + ggml_metal_graph_compute(lctx.ctx_metal, gf); + ggml_metal_get_tensor (lctx.ctx_metal, res); + if (!lctx.embedding.empty()) { + ggml_metal_get_tensor(lctx.ctx_metal, embeddings); + } } else { // IMPORTANT: // Since we don't have efficient Matrix x Matrix Metal multiplication yet, we fallback to vanilla @@ -1766,34 +1879,32 @@ static bool llama_eval_internal( ggml_metal_get_tensor(lctx.ctx_metal, kv_self.v); } - ggml_graph_compute_helper(lctx.work_buffer, &gf, n_threads); + ggml_graph_compute_helper(lctx.work_buffer, gf, n_threads); } #else - ggml_graph_compute_helper(lctx.work_buffer, &gf, n_threads); + ggml_graph_compute_helper(lctx.work_buffer, gf, n_threads); #endif #if GGML_USE_MPI - ggml_mpi_graph_compute_post(lctx.ctx_mpi, &gf, n_layer); + ggml_mpi_graph_compute_post(lctx.ctx_mpi, gf, n_layer); #endif // update kv token count lctx.kv_self.n = n_past + N; - struct ggml_tensor * res = gf.nodes[gf.n_nodes - 1]; - if (cgraph_fname) { - ggml_graph_export(&gf, cgraph_fname); + ggml_graph_export(gf, cgraph_fname); } #ifdef GGML_PERF // print timing information per ggml operation (for debugging purposes) // requires GGML_PERF to be defined - ggml_graph_print(&gf); + ggml_graph_print(gf); #endif // plot the computation graph in dot format (for debugging purposes) //if (n_past%100 == 0) { - // ggml_graph_dump_dot(&gf, NULL, "llama.dot"); + // ggml_graph_dump_dot(gf, NULL, "llama.dot"); //} // extract logits @@ -1818,21 +1929,6 @@ static bool llama_eval_internal( memcpy(embedding_out.data(), (float *) ggml_get_data(embeddings) + (n_embd*(N - 1)), sizeof(float)*n_embd); } - if (mem_per_token == 0) { - mem_per_token = ggml_used_mem(ctx0)/N; - } - -#if 0 - printf("\n%s: used_mem: eval ctx %.3f MB, scratch %.3f MB %.3f MB, work buf %.3f MB, n_past = %d, N = %d\n", __func__, - ggml_used_mem(ctx0)/1024.0/1024.0, - lctx.get_buf_max_mem(0)/1024.0/1024.0, - lctx.get_buf_max_mem(1)/1024.0/1024.0, - lctx.work_buffer.size()/1024.0/1024.0, - n_past, N); -#endif - - ggml_free(ctx0); - // measure the performance only for the single-token evals if (N == 1) { lctx.t_eval_us += ggml_time_us() - t_start_us; @@ -1944,7 +2040,9 @@ struct llama_tokenizer { if (token == vocab_.token_to_id.end()) { // output any symbols that did not form tokens as bytes. for (int j = 0; j < (int) symbol.n; ++j) { - llama_vocab::id token_id = static_cast(symbol.text[j]) + 3; + // NOTE: old version, before #2420 - not sure what are the implications of this + //llama_vocab::id token_id = static_cast(symbol.text[j]) + 3; + llama_vocab::id token_id = vocab_.token_to_id.at(std::string(1, symbol.text[j])); output.push_back(token_id); } } else { @@ -3121,7 +3219,7 @@ struct llama_model * llama_load_model_from_file( ggml_type memory_type = params.f16_kv ? GGML_TYPE_F16 : GGML_TYPE_F32; if (!llama_model_load(path_model, *model, model->vocab, params.n_ctx, params.n_batch, params.n_gqa, params.rms_norm_eps, params.n_gpu_layers, - params.main_gpu, params.tensor_split, params.rope_freq_base, params.rope_freq_scale,params.low_vram, + params.main_gpu, params.tensor_split, params.mul_mat_q, params.rope_freq_base, params.rope_freq_scale,params.low_vram, memory_type, params.use_mmap, params.use_mlock, params.vocab_only, params.progress_callback, params.progress_callback_user_data)) { delete model; @@ -3200,10 +3298,47 @@ struct llama_context * llama_new_context_with_model( ctx->embedding.resize(hparams.n_embd); } - ctx->buf_compute.resize(blasbatchmul*MEM_REQ_EVAL().at(ctx->model.type)); +#ifdef LLAMA_USE_ALLOCATOR + { + static const size_t tensor_alignment = 32; + // the compute buffer is used to store the tensor and graph structs, while the allocator buffer is used for the tensor data + ctx->buf_compute.resize(ggml_tensor_overhead()*GGML_MAX_NODES + ggml_graph_overhead()); + + // create measure allocator + ctx->alloc = ggml_allocr_new_measure(tensor_alignment); + + // build worst-case graph + int n_tokens = std::min((int)hparams.n_ctx, params.n_batch); + int n_past = hparams.n_ctx - n_tokens; + llama_token token = llama_token_bos(); // not actually used by llama_build_graph, but required to choose between token and embedding inputs graph + ggml_cgraph * gf = llama_build_graph(*ctx, &token, NULL, n_tokens, n_past); + + // measure memory requirements for the graph + size_t alloc_size = ggml_allocr_alloc_graph(ctx->alloc, gf) + tensor_alignment; + + fprintf(stderr, "%s: compute buffer total size = %7.2f MB\n", __func__, (ctx->buf_compute.size + alloc_size) / 1024.0 / 1024.0); + // debug - for comparison with scratch buffer + //size_t prev_req = + // MEM_REQ_SCRATCH0(hparams.n_ctx).at(ctx->model.type) + + // MEM_REQ_SCRATCH1().at(ctx->model.type) + + // MEM_REQ_EVAL().at(ctx->model.type); + //fprintf(stderr, "%s: (debug) equivalent with scratch buffer = %7.2f MB\n", __func__, prev_req / 1024.0 / 1024.0); + + // recreate allocator with exact memory requirements + ggml_allocr_free(ctx->alloc); + + ctx->buf_alloc.resize(alloc_size); + ctx->alloc = ggml_allocr_new(ctx->buf_alloc.addr, ctx->buf_alloc.size, tensor_alignment); + } +#else + ctx->buf_compute.resize(blasbatchmul*MEM_REQ_EVAL().at(ctx->model.type) + ggml_graph_overhead()); +#endif + +#ifdef LLAMA_USE_SCRATCH ctx->buf_scratch[0].resize(blasbatchmul*MEM_REQ_SCRATCH0(hparams.n_ctx).at(ctx->model.type)); ctx->buf_scratch[1].resize(blasbatchmul*MEM_REQ_SCRATCH1().at(ctx->model.type)); +#endif } #ifdef GGML_USE_METAL @@ -3273,9 +3408,6 @@ struct llama_context * llama_init_from_file( } void llama_free(struct llama_context * ctx) { - if (ctx->model_owner) { - delete &ctx->model; - } delete ctx; } @@ -3634,10 +3766,20 @@ size_t llama_get_state_size(const struct llama_context * ctx) { return s_total; } -// Copies the state to the specified destination address -size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) { - uint8_t * out = dst; - +/** copy state data into either a buffer or file depending on the passed in context + * + * file context: + * llama_file file("/path", "wb"); + * llama_data_file_context data_ctx(&file); + * llama_copy_state_data(ctx, &data_ctx); + * + * buffer context: + * std::vector buf(max_size, 0); + * llama_data_buffer_context data_ctx(&buf.data()); + * llama_copy_state_data(ctx, &data_ctx); + * +*/ +void llama_copy_state_data_internal(struct llama_context * ctx, llama_data_context * data_ctx) { // copy rng { std::stringstream rng_ss; @@ -3649,8 +3791,8 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) { memset(&rng_buf[0], 0, LLAMA_MAX_RNG_STATE); memcpy(&rng_buf[0], rng_ss.str().data(), rng_ss.str().size()); - memcpy(out, &rng_size, sizeof(rng_size)); out += sizeof(rng_size); - memcpy(out, &rng_buf[0], LLAMA_MAX_RNG_STATE); out += LLAMA_MAX_RNG_STATE; + data_ctx->write(&rng_size, sizeof(rng_size)); + data_ctx->write(&rng_buf[0], LLAMA_MAX_RNG_STATE); } // copy logits @@ -3658,25 +3800,29 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) { const size_t logits_cap = ctx->logits.capacity(); const size_t logits_size = ctx->logits.size(); - memcpy(out, &logits_cap, sizeof(logits_cap)); out += sizeof(logits_cap); - memcpy(out, &logits_size, sizeof(logits_size)); out += sizeof(logits_size); + data_ctx->write(&logits_cap, sizeof(logits_cap)); + data_ctx->write(&logits_size, sizeof(logits_size)); if (logits_size) { - memcpy(out, ctx->logits.data(), logits_size * sizeof(float)); + data_ctx->write(ctx->logits.data(), logits_size * sizeof(float)); } - out += logits_cap * sizeof(float); + // If there is a gap between the size and the capacity, write padding + size_t padding_size = (logits_cap - logits_size) * sizeof(float); + if (padding_size > 0) { + std::vector padding(padding_size, 0); // Create a buffer filled with zeros + data_ctx->write(padding.data(), padding_size); + } } // copy embeddings { const size_t embedding_size = ctx->embedding.size(); - memcpy(out, &embedding_size, sizeof(embedding_size)); out += sizeof(embedding_size); + data_ctx->write(&embedding_size, sizeof(embedding_size)); if (embedding_size) { - memcpy(out, ctx->embedding.data(), embedding_size * sizeof(float)); - out += embedding_size * sizeof(float); + data_ctx->write(ctx->embedding.data(), embedding_size * sizeof(float)); } } @@ -3685,14 +3831,14 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) { const auto & kv_self = ctx->kv_self; const auto & hparams = ctx->model.hparams; const int n_layer = hparams.n_layer; - const int n_embd = hparams.n_embd; + const int n_embd = hparams.n_embd_gqa(); const int n_ctx = hparams.n_ctx; const size_t kv_size = kv_self.buf.size; const int kv_ntok = llama_get_kv_cache_token_count(ctx); - memcpy(out, &kv_size, sizeof(kv_size)); out += sizeof(kv_size); - memcpy(out, &kv_ntok, sizeof(kv_ntok)); out += sizeof(kv_ntok); + data_ctx->write(&kv_size, sizeof(kv_size)); + data_ctx->write(&kv_ntok, sizeof(kv_ntok)); if (kv_size) { const size_t elt_size = ggml_element_size(kv_self.k); @@ -3701,12 +3847,12 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) { ggml_cgraph gf{}; ggml_tensor * kout3d = ggml_new_tensor_3d(cpy_ctx, kv_self.k->type, n_embd, kv_ntok, n_layer); - kout3d->data = out; - out += ggml_nbytes(kout3d); + std::vector kout3d_data(ggml_nbytes(kout3d), 0); + kout3d->data = kout3d_data.data(); ggml_tensor * vout3d = ggml_new_tensor_3d(cpy_ctx, kv_self.v->type, kv_ntok, n_embd, n_layer); - vout3d->data = out; - out += ggml_nbytes(vout3d); + std::vector vout3d_data(ggml_nbytes(vout3d), 0); + vout3d->data = vout3d_data.data(); ggml_tensor * k3d = ggml_view_3d(cpy_ctx, kv_self.k, n_embd, kv_ntok, n_layer, @@ -3721,15 +3867,20 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) { ggml_graph_compute_helper(ctx->work_buffer, &gf, /*n_threads*/ 1); ggml_free(cpy_ctx); + + // our data is now in the kout3d_data and vout3d_data buffers + // write them to file + data_ctx->write(kout3d_data.data(), kout3d_data.size()); + data_ctx->write(vout3d_data.data(), vout3d_data.size()); } } +} - const size_t written = out - dst; - const size_t max_size = llama_get_state_size(ctx); - - LLAMA_ASSERT(written <= max_size); +size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) { + llama_data_buffer_context data_ctx(dst); + llama_copy_state_data_internal(ctx, &data_ctx); - return written; + return data_ctx.get_size_written(); } // Sets the state reading from the specified source address @@ -3788,7 +3939,7 @@ size_t llama_set_state_data(struct llama_context * ctx, uint8_t * src) { const auto & kv_self = ctx->kv_self; const auto & hparams = ctx->model.hparams; const int n_layer = hparams.n_layer; - const int n_embd = hparams.n_embd; + const int n_embd = hparams.n_embd_gqa(); const int n_ctx = hparams.n_ctx; size_t kv_size; @@ -3914,15 +4065,9 @@ bool llama_save_session_file(struct llama_context * ctx, const char * path_sessi file.write_u32((uint32_t) n_token_count); file.write_raw(tokens, sizeof(llama_token) * n_token_count); - // save the context state - { - const size_t n_state_size_max = llama_get_state_size(ctx); - - std::vector state_data(n_state_size_max); - const size_t n_state_size_cur = llama_copy_state_data(ctx, state_data.data()); - - file.write_raw(state_data.data(), n_state_size_cur); - } + // save the context state using stream saving + llama_data_file_context data_ctx(&file); + llama_copy_state_data_internal(ctx, &data_ctx); return true; } diff --git a/llama.h b/llama.h index df46f9b9cfa31..fa1977f2d9492 100644 --- a/llama.h +++ b/llama.h @@ -108,6 +108,7 @@ extern "C" { // Keep the booleans together to avoid misalignment during copy-by-value. bool low_vram; // if true, reduce VRAM usage at the cost of performance + bool mul_mat_q; // if true, use experimental mul_mat_q kernels bool f16_kv; // use fp16 for KV cache bool logits_all; // the llama_eval() call computes all logits, not just the last one bool vocab_only; // only load the vocabulary, no weights diff --git a/make_old_pyinstaller.bat b/make_old_pyinstaller.bat index e5d1113f8f4e5..c72a2ce10fa42 100644 --- a/make_old_pyinstaller.bat +++ b/make_old_pyinstaller.bat @@ -1,4 +1,4 @@ echo This file is only for my own usage, please do not use it. I am lazy. set PATH=d:\\MainApplications\\KoboldAIGPT\\KoboldAI-Horde-Bridge\\python;d:\\MainApplications\\KoboldAIGPT\\KoboldAI-Horde-Bridge\\python\\Scripts;%PATH% -PyInstaller --noconfirm --onefile --clean --console --collect-all customtkinter --icon "./niko.ico" --add-data "./klite.embd;." --add-data "./koboldcpp.dll;." --add-data "./koboldcpp_openblas.dll;." --add-data "./koboldcpp_failsafe.dll;." --add-data "./koboldcpp_openblas_noavx2.dll;." --add-data "./libopenblas.dll;." --add-data "./koboldcpp_clblast.dll;." --add-data "./clblast.dll;." --add-data "./rwkv_vocab.embd;." --add-data "./rwkv_world_vocab.embd;." "./koboldcpp.py" -n "koboldcpp_nocuda.exe" \ No newline at end of file +PyInstaller --noconfirm --onefile --clean --console --collect-all customtkinter --icon "./niko.ico" --add-data "./klite.embd;." --add-data "./koboldcpp.dll;." --add-data "./koboldcpp_openblas.dll;." --add-data "./koboldcpp_failsafe.dll;." --add-data "./koboldcpp_noavx2.dll;." --add-data "./libopenblas.dll;." --add-data "./koboldcpp_clblast.dll;." --add-data "./clblast.dll;." --add-data "./rwkv_vocab.embd;." --add-data "./rwkv_world_vocab.embd;." "./koboldcpp.py" -n "koboldcpp_nocuda.exe" \ No newline at end of file diff --git a/make_old_pyinstaller_cuda.bat b/make_old_pyinstaller_cuda.bat index 004b88bbfe276..dfe2845716149 100644 --- a/make_old_pyinstaller_cuda.bat +++ b/make_old_pyinstaller_cuda.bat @@ -1,4 +1,4 @@ echo This file is only for my own usage, please do not use it. I am lazy. set PATH=d:\\MainApplications\\KoboldAIGPT\\KoboldAI-Horde-Bridge\\python;d:\\MainApplications\\KoboldAIGPT\\KoboldAI-Horde-Bridge\\python\\Scripts;%PATH% -PyInstaller --noconfirm --onefile --clean --console --collect-all customtkinter --icon "./nikogreen.ico" --add-data "./klite.embd;." --add-data "./koboldcpp.dll;." --add-data "./koboldcpp_openblas.dll;." --add-data "./koboldcpp_failsafe.dll;." --add-data "./koboldcpp_openblas_noavx2.dll;." --add-data "./libopenblas.dll;." --add-data "./koboldcpp_clblast.dll;." --add-data "./clblast.dll;." --add-data "./koboldcpp_cublas.dll;." --add-data "./cublas64_11.dll;." --add-data "./cublasLt64_11.dll;." --add-data "./cudart64_110.dll;." --add-data "./msvcp140.dll;." --add-data "./vcruntime140.dll;." --add-data "./vcruntime140_1.dll;." --add-data "./rwkv_vocab.embd;." --add-data "./rwkv_world_vocab.embd;." "./koboldcpp.py" -n "koboldcpp.exe" \ No newline at end of file +PyInstaller --noconfirm --onefile --clean --console --collect-all customtkinter --icon "./nikogreen.ico" --add-data "./klite.embd;." --add-data "./koboldcpp.dll;." --add-data "./koboldcpp_openblas.dll;." --add-data "./koboldcpp_failsafe.dll;." --add-data "./koboldcpp_noavx2.dll;." --add-data "./libopenblas.dll;." --add-data "./koboldcpp_clblast.dll;." --add-data "./clblast.dll;." --add-data "./koboldcpp_cublas.dll;." --add-data "./cublas64_11.dll;." --add-data "./cublasLt64_11.dll;." --add-data "./cudart64_110.dll;." --add-data "./msvcp140.dll;." --add-data "./vcruntime140.dll;." --add-data "./vcruntime140_1.dll;." --add-data "./rwkv_vocab.embd;." --add-data "./rwkv_world_vocab.embd;." "./koboldcpp.py" -n "koboldcpp.exe" \ No newline at end of file diff --git a/make_pyinstaller.bat b/make_pyinstaller.bat index 12be110f88258..3cf867b28c3fe 100644 --- a/make_pyinstaller.bat +++ b/make_pyinstaller.bat @@ -1 +1 @@ -PyInstaller --noconfirm --onefile --clean --console --collect-all customtkinter --icon "./niko.ico" --add-data "./klite.embd;." --add-data "./koboldcpp.dll;." --add-data "./koboldcpp_openblas.dll;." --add-data "./koboldcpp_failsafe.dll;." --add-data "./koboldcpp_openblas_noavx2.dll;." --add-data "./libopenblas.dll;." --add-data "./koboldcpp_clblast.dll;." --add-data "./clblast.dll;." --add-data "./rwkv_vocab.embd;." --add-data "./rwkv_world_vocab.embd;." "./koboldcpp.py" -n "koboldcpp.exe" \ No newline at end of file +PyInstaller --noconfirm --onefile --clean --console --collect-all customtkinter --icon "./niko.ico" --add-data "./klite.embd;." --add-data "./koboldcpp.dll;." --add-data "./koboldcpp_openblas.dll;." --add-data "./koboldcpp_failsafe.dll;." --add-data "./koboldcpp_noavx2.dll;." --add-data "./libopenblas.dll;." --add-data "./koboldcpp_clblast.dll;." --add-data "./clblast.dll;." --add-data "./rwkv_vocab.embd;." --add-data "./rwkv_world_vocab.embd;." "./koboldcpp.py" -n "koboldcpp.exe" \ No newline at end of file diff --git a/make_pyinstaller.sh b/make_pyinstaller.sh index 155a1cd82bcda..270850663ee79 100644 --- a/make_pyinstaller.sh +++ b/make_pyinstaller.sh @@ -5,7 +5,7 @@ pyinstaller --noconfirm --onefile --clean --console --collect-all customtkinter --add-data "./koboldcpp.so:." \ --add-data "./koboldcpp_openblas.so:." \ --add-data "./koboldcpp_failsafe.so:." \ ---add-data "./koboldcpp_openblas_noavx2.so:." \ +--add-data "./koboldcpp_noavx2.so:." \ --add-data "./koboldcpp_clblast.so:." \ --add-data "./rwkv_vocab.embd:." \ --add-data "./rwkv_world_vocab.embd:." \ diff --git a/make_pyinstaller_hybrid_henk.bat b/make_pyinstaller_hybrid_henk.bat index be25d2ebf6deb..a99b1569dcdd7 100644 --- a/make_pyinstaller_hybrid_henk.bat +++ b/make_pyinstaller_hybrid_henk.bat @@ -2,4 +2,4 @@ cd /d "%~dp0" copy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4\bin\cudart64_110.dll" .\ /Y copy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4\bin\cublasLt64_11.dll" .\ /Y copy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4\bin\cublas64_11.dll" .\ /Y -PyInstaller --noconfirm --onefile --collect-all customtkinter --clean --console --icon ".\niko.ico" --add-data "./klite.embd;." --add-data "./koboldcpp.dll;." --add-data "./koboldcpp_openblas.dll;." --add-data "./koboldcpp_failsafe.dll;." --add-data "./koboldcpp_openblas_noavx2.dll;." --add-data "./libopenblas.dll;." --add-data "./koboldcpp_clblast.dll;." --add-data "./clblast.dll;." --add-data "./koboldcpp_cublas.dll;." --add-data "./cudart64_110.dll;." --add-data "./cublasLt64_11.dll;." --add-data "./cublas64_11.dll;." --add-data "./rwkv_vocab.embd;." --add-data "C:/Windows/System32/msvcp140.dll;." --add-data "C:/Windows/System32/vcruntime140_1.dll;." "./koboldcpp.py" -n "koboldcpp.exe" \ No newline at end of file +PyInstaller --noconfirm --onefile --collect-all customtkinter --clean --console --icon ".\niko.ico" --add-data "./klite.embd;." --add-data "./koboldcpp.dll;." --add-data "./koboldcpp_openblas.dll;." --add-data "./koboldcpp_failsafe.dll;." --add-data "./koboldcpp_noavx2.dll;." --add-data "./libopenblas.dll;." --add-data "./koboldcpp_clblast.dll;." --add-data "./clblast.dll;." --add-data "./koboldcpp_cublas.dll;." --add-data "./cudart64_110.dll;." --add-data "./cublasLt64_11.dll;." --add-data "./cublas64_11.dll;." --add-data "./rwkv_vocab.embd;." --add-data "C:/Windows/System32/msvcp140.dll;." --add-data "C:/Windows/System32/vcruntime140_1.dll;." "./koboldcpp.py" -n "koboldcpp.exe" \ No newline at end of file diff --git a/otherarch/ggml_v1.c b/otherarch/ggml_v1.c index d6af52c820fde..bfa0fe7099d15 100644 --- a/otherarch/ggml_v1.c +++ b/otherarch/ggml_v1.c @@ -1577,63 +1577,6 @@ inline static void ggml_v1_vec_mad_q4_0(const int n, float * restrict y, void * const float * restrict pd = (const float *) (x); const uint8_t * restrict pb = (const uint8_t *) (pd + nb); -#if __ARM_NEON -#if QK == 32 - for (int i = 0; i < nb; ++i) { - const float d0 = pd[i]*v; - - const uint8_t * restrict pp = pb + i*16; - - const uint8x8_t m4b = vdup_n_u8(0xf); - const int8x8_t s8b = vdup_n_s8(0x8); - - const float32x4_t vd = vdupq_n_f32(d0); - - for (int j = 0; j < 2; j++) { - const uint8x8_t vx = vld1_u8(pp + j*8); - - const int8x8_t vxl = vreinterpret_s8_u8(vand_u8(vx, m4b)); - const int8x8_t vxh = vreinterpret_s8_u8(vshr_n_u8(vx, 4)); - - // sub 8 - const int8x8_t vxls = vsub_s8(vxl, s8b); - const int8x8_t vxhs = vsub_s8(vxh, s8b); - - //const int8x8_t vxlt = vzip_s8(vxls, vxhs)[0]; - //const int8x8_t vxht = vzip_s8(vxls, vxhs)[1]; - const int8x8_t vxlt = vzip1_s8(vxls, vxhs); - const int8x8_t vxht = vzip2_s8(vxls, vxhs); - - const int8x16_t vxq = vcombine_s8(vxlt, vxht); - - // convert to 2x int16x8_t - const int16x8_t vxq0 = vmovl_s8(vget_low_s8 (vxq)); - const int16x8_t vxq1 = vmovl_s8(vget_high_s8(vxq)); - - // convert to 4x float32x4_t - const float32x4_t vx0 = vcvtq_f32_s32(vmovl_s16(vget_low_s16 (vxq0))); - const float32x4_t vx1 = vcvtq_f32_s32(vmovl_s16(vget_high_s16(vxq0))); - const float32x4_t vx2 = vcvtq_f32_s32(vmovl_s16(vget_low_s16 (vxq1))); - const float32x4_t vx3 = vcvtq_f32_s32(vmovl_s16(vget_high_s16(vxq1))); - - const float32x4_t vy0 = vld1q_f32(y + i*32 + j*16 + 0); - const float32x4_t vy1 = vld1q_f32(y + i*32 + j*16 + 4); - const float32x4_t vy2 = vld1q_f32(y + i*32 + j*16 + 8); - const float32x4_t vy3 = vld1q_f32(y + i*32 + j*16 + 12); - - const float32x4_t vr0 = vfmaq_f32(vy0, vx0, vd); - const float32x4_t vr1 = vfmaq_f32(vy1, vx1, vd); - const float32x4_t vr2 = vfmaq_f32(vy2, vx2, vd); - const float32x4_t vr3 = vfmaq_f32(vy3, vx3, vd); - - vst1q_f32(y + i*32 + j*16 + 0, vr0); - vst1q_f32(y + i*32 + j*16 + 4, vr1); - vst1q_f32(y + i*32 + j*16 + 8, vr2); - vst1q_f32(y + i*32 + j*16 + 12, vr3); - } - } -#endif -#else // scalar for (int i = 0; i < nb; i++) { const float d = pd[i]; @@ -1658,7 +1601,6 @@ inline static void ggml_v1_vec_mad_q4_0(const int n, float * restrict y, void * assert(!isinf(y[i*QK + l + 1])); } } -#endif } inline static void ggml_v1_vec_mad_q4_1(const int n, float * restrict y, void * restrict x, const float v) { @@ -10056,7 +9998,7 @@ enum ggml_v1_opt_result ggml_v1_opt( struct ggml_v1_init_params params_ctx; params_ctx.mem_size = 16*1024*1024; params_ctx.mem_buffer = NULL; - + ctx = ggml_v1_init(params_ctx); if (ctx == NULL) { diff --git a/otherarch/gpt2_v3.cpp b/otherarch/gpt2_v3.cpp index 608a61ac226d7..dd178ca021760 100644 --- a/otherarch/gpt2_v3.cpp +++ b/otherarch/gpt2_v3.cpp @@ -416,9 +416,10 @@ bool gpt2_eval( // use 2 scratch buffers // TODO: very hacky solution - reimplement in a more elegant way - static size_t scr0_size = (n_embd>2400?512u:256u)*1024*1024; + static size_t scr0_size = (n_embd>2400?512u:256u)*1024*1024*(hparams.n_ctx>8192?2:1); static size_t scr1_size = (n_embd>2400?512u:256u)*1024*1024; + static void * scr0 = malloc(scr0_size); static void * scr1 = malloc(scr1_size); diff --git a/otherarch/gptj_v3.cpp b/otherarch/gptj_v3.cpp index 40e604ec0b2c2..67d73fe920992 100644 --- a/otherarch/gptj_v3.cpp +++ b/otherarch/gptj_v3.cpp @@ -425,7 +425,7 @@ bool gptj_eval( // use 2 scratch buffers // TODO: very hacky solution - reimplement in a more elegant way - static size_t scr0_size = 512u*1024*1024; + static size_t scr0_size = 512u*1024*1024*(hparams.n_ctx>8192?2:1); static size_t scr1_size = 512u*1024*1024; static void * scr0 = malloc(scr0_size); diff --git a/otherarch/llama_v2-util.h b/otherarch/llama_v2-util.h index 00aedf8e64ecd..63942a007301b 100644 --- a/otherarch/llama_v2-util.h +++ b/otherarch/llama_v2-util.h @@ -225,7 +225,7 @@ struct llama_v2_mmap { #pragma message("warning: You are building for pre-Windows 8; prefetch not supported") #endif // _WIN32_WINNT >= _WIN32_WINNT_WIN8 #else - printf("\nPrefetchVirtualMemory skipped in failsafe mode."); + printf("\nPrefetchVirtualMemory skipped in compatibility mode.\n"); #endif } diff --git a/otherarch/llama_v2.cpp b/otherarch/llama_v2.cpp index af14e9480e4e5..b3cdf54f7774a 100644 --- a/otherarch/llama_v2.cpp +++ b/otherarch/llama_v2.cpp @@ -38,7 +38,7 @@ #include #include -#define LLAMA_USE_SCRATCH +#define LLAMA_V2_USE_SCRATCH #define LLAMA_V2_MAX_SCRATCH_BUFFERS 16 // available llama models @@ -247,7 +247,7 @@ struct llama_v2_context { size_t buf_max_size[LLAMA_V2_MAX_SCRATCH_BUFFERS] = { 0 }; void use_buf(struct ggml_v2_context * ctx, int i) { -#if defined(LLAMA_USE_SCRATCH) +#if defined(LLAMA_V2_USE_SCRATCH) size_t last_size = 0; if (i == -1) { @@ -269,7 +269,7 @@ struct llama_v2_context { } size_t get_buf_max_mem(int i) const { -#if defined(LLAMA_USE_SCRATCH) +#if defined(LLAMA_V2_USE_SCRATCH) return buf_max_size[i]; #else (void) i; diff --git a/otherarch/mpt_v3.cpp b/otherarch/mpt_v3.cpp index edfc8c09c9840..8e29f8c21b6ad 100644 --- a/otherarch/mpt_v3.cpp +++ b/otherarch/mpt_v3.cpp @@ -362,7 +362,7 @@ bool mpt_eval(const mpt_model & model, const int n_threads, const int n_past, // use 2 scratch buffers // TODO: very hacky solution - reimplement in a more elegant way //MPT 30B needs more scratch memory - static size_t scr0_size = (n_embd>=7168?2048u:1024u)*1024*1024; + static size_t scr0_size = (n_embd>=7168?2048u:1024u)*1024*1024*(hparams.n_ctx>8192?2:1); static size_t scr1_size = (n_embd>=7168?2048u:1024u)*1024*1024; static void * scr0 = malloc(scr0_size); diff --git a/otherarch/neox_v3.cpp b/otherarch/neox_v3.cpp index ee917d92823fa..4da59b5595864 100644 --- a/otherarch/neox_v3.cpp +++ b/otherarch/neox_v3.cpp @@ -441,7 +441,7 @@ bool gpt_neox_eval( // use 2 scratch buffers // TODO: very hacky solution - reimplement in a more elegant way - static size_t scr0_size = (n_embd>2400?512u:256u)*1024*1024; + static size_t scr0_size = (n_embd>2400?512u:256u)*1024*1024*(hparams.n_ctx>8192?2:1); static size_t scr1_size = (n_embd>2400?512u:256u)*1024*1024; static void * scr0 = malloc(scr0_size);