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