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Makefile
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ifndef UNAME_S
UNAME_S := $(shell uname -s)
endif
ifndef UNAME_P
UNAME_P := $(shell uname -p)
endif
ifndef UNAME_M
UNAME_M := $(shell uname -m)
endif
# Mac OS + Arm can report x86_64
# ref: https://github.com/ggerganov/whisper.cpp/issues/66#issuecomment-1282546789
ifeq ($(UNAME_S),Darwin)
ifneq ($(UNAME_P),arm)
SYSCTL_M := $(shell sysctl -n hw.optional.arm64)
ifeq ($(SYSCTL_M),1)
# UNAME_P := arm
# UNAME_M := arm64
warn := $(warning Your arch is announced as x86_64, but it seems to actually be ARM64. Not fixing that can lead to bad performance. For more info see: https://github.com/ggerganov/whisper.cpp/issues/66\#issuecomment-1282546789)
endif
endif
endif
#
# Compile flags
#
CFLAGS = -I. -O3 -std=c11
CXXFLAGS = -I. -I./examples -O3 -std=c++11
LDFLAGS =
# OS specific
# TODO: support Windows
ifeq ($(UNAME_S),Linux)
CFLAGS += -pthread
CXXFLAGS += -pthread
endif
ifeq ($(UNAME_S),Darwin)
CFLAGS += -pthread
CXXFLAGS += -pthread
endif
ifeq ($(UNAME_S),FreeBSD)
CFLAGS += -pthread
CXXFLAGS += -pthread
endif
# Architecture specific
# TODO: probably these flags need to be tweaked on some architectures
# feel free to update the Makefile for your architecture and send a pull request or issue
ifeq ($(UNAME_M),x86_64)
CFLAGS += -mfma -mf16c
ifeq ($(UNAME_S),Darwin)
AVX1_M := $(shell sysctl machdep.cpu.features)
ifneq (,$(findstring AVX1.0,$(AVX1_M)))
CFLAGS += -mavx
endif
AVX2_M := $(shell sysctl machdep.cpu.leaf7_features)
ifneq (,$(findstring AVX2,$(AVX2_M)))
CFLAGS += -mavx2
endif
else
CFLAGS += -mavx -mavx2
endif
endif
ifeq ($(UNAME_M),amd64)
CFLAGS += -mavx -mavx2 -mfma -mf16c
endif
ifndef WHISPER_NO_ACCELERATE
# Mac M1 - include Accelerate framework
ifeq ($(UNAME_S),Darwin)
CFLAGS += -DGGML_USE_ACCELERATE
LDFLAGS += -framework Accelerate
endif
endif
ifneq ($(filter aarch64%,$(UNAME_M)),)
endif
ifneq ($(filter armv6%,$(UNAME_M)),)
# Raspberry Pi 1, 2, 3
CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access
endif
ifneq ($(filter armv7%,$(UNAME_M)),)
# Raspberry Pi 4
CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access -funsafe-math-optimizations
endif
ifneq ($(filter armv8%,$(UNAME_M)),)
# Raspberry Pi 4
CFLAGS += -mfp16-format=ieee -mno-unaligned-access
endif
default: main
#
# Build library
#
ggml.o: ggml.c ggml.h
$(CC) $(CFLAGS) -c ggml.c -o ggml.o
whisper.o: whisper.cpp whisper.h
$(CXX) $(CXXFLAGS) -c whisper.cpp -o whisper.o
libwhisper.a: ggml.o whisper.o
$(AR) rcs libwhisper.a ggml.o whisper.o
libwhisper.so: ggml.o whisper.o
$(CXX) $(CXXFLAGS) -shared -o libwhisper.so ggml.o whisper.o $(LDFLAGS)
clean:
rm -f *.o main stream bench libwhisper.a libwhisper.so
#
# Examples
#
CC_SDL=`sdl2-config --cflags --libs`
main: examples/main/main.cpp ggml.o whisper.o
$(CXX) $(CXXFLAGS) examples/main/main.cpp ggml.o whisper.o -o main $(LDFLAGS)
./main -h
stream: examples/stream/stream.cpp ggml.o whisper.o
$(CXX) $(CXXFLAGS) examples/stream/stream.cpp ggml.o whisper.o -o stream $(CC_SDL) $(LDFLAGS)
bench: examples/bench/bench.cpp ggml.o whisper.o
$(CXX) $(CXXFLAGS) examples/bench/bench.cpp ggml.o whisper.o -o bench $(LDFLAGS)
#
# Audio samples
#
# download a few audio samples into folder "./samples":
.PHONY: samples
samples:
@echo "Downloading samples..."
@mkdir -p samples
@wget --quiet --show-progress -O samples/gb0.ogg https://upload.wikimedia.org/wikipedia/commons/2/22/George_W._Bush%27s_weekly_radio_address_%28November_1%2C_2008%29.oga
@wget --quiet --show-progress -O samples/gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
@wget --quiet --show-progress -O samples/hp0.ogg https://upload.wikimedia.org/wikipedia/en/d/d4/En.henryfphillips.ogg
@wget --quiet --show-progress -O samples/mm1.wav https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav
@echo "Converting to 16-bit WAV ..."
@ffmpeg -loglevel -0 -y -i samples/gb0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb0.wav
@ffmpeg -loglevel -0 -y -i samples/gb1.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb1.wav
@ffmpeg -loglevel -0 -y -i samples/hp0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/hp0.wav
@ffmpeg -loglevel -0 -y -i samples/mm1.wav -ar 16000 -ac 1 -c:a pcm_s16le samples/mm0.wav
@rm samples/mm1.wav
#
# Models
#
# if not already downloaded, the following targets download the specified model and
# runs it on all samples in the folder "./samples":
.PHONY: tiny.en
.PHONY: tiny
.PHONY: base.en
.PHONY: base
.PHONY: small.en
.PHONY: small
.PHONY: medium.en
.PHONY: medium
.PHONY: large
tiny.en tiny base.en base small.en small medium.en medium large: main
bash ./models/download-ggml-model.sh $@
@echo ""
@echo "==============================================="
@echo "Running $@ on all samples in ./samples ..."
@echo "==============================================="
@echo ""
@for f in samples/*.wav; do \
echo "----------------------------------------------" ; \
echo "[+] Running base.en on $$f ... (run 'ffplay $$f' to listen)" ; \
echo "----------------------------------------------" ; \
echo "" ; \
./main -m models/[email protected] -f $$f ; \
echo "" ; \
done