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2 Commits

Author SHA1 Message Date
13c5446759 Update ggml-cuda/mmvq.cu
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-06-11 17:37:32 +03:00
9df6298a91 cuda : fix bounds check for src0 rows in MMVQ kernel 2024-06-11 11:30:12 +03:00
657 changed files with 121430 additions and 165845 deletions

View File

@ -12,7 +12,7 @@ FROM ${BASE_CUDA_DEV_CONTAINER} as build
ARG CUDA_DOCKER_ARCH=all
RUN apt-get update && \
apt-get install -y build-essential git cmake libsdl2-dev wget
apt-get install -y build-essential git cmake
WORKDIR /app
@ -21,8 +21,8 @@ COPY . .
# Set nvcc architecture
ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
# Enable cuBLAS
ENV GGML_CUDA=1
ENV WHISPER_CUBLAS=1
RUN make base.en
RUN make
ENTRYPOINT ["/app/main"]

View File

@ -14,10 +14,10 @@ ARG CUDA_DOCKER_ARCH=all
# Set nvcc architecture
ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
# Enable cuBLAS
ENV GGML_CUDA=1
ENV WHISPER_CUBLAS=1
RUN apt-get update && \
apt-get install -y build-essential libsdl2-dev wget cmake \
apt-get install -y build-essential \
&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
# Ref: https://stackoverflow.com/a/53464012
@ -25,7 +25,7 @@ ENV CUDA_MAIN_VERSION=12.3
ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
COPY .. .
RUN make base.en
RUN make
FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime
ENV CUDA_MAIN_VERSION=12.3
@ -33,7 +33,7 @@ ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
WORKDIR /app
RUN apt-get update && \
apt-get install -y curl ffmpeg wget cmake \
apt-get install -y curl ffmpeg \
&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
COPY --from=build /app /app

View File

@ -2,17 +2,17 @@ FROM ubuntu:22.04 AS build
WORKDIR /app
RUN apt-get update && \
apt-get install -y build-essential wget cmake \
apt-get install -y build-essential \
&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
COPY .. .
RUN make base.en
RUN make
FROM ubuntu:22.04 AS runtime
WORKDIR /app
RUN apt-get update && \
apt-get install -y curl ffmpeg libsdl2-dev wget cmake \
apt-get install -y curl ffmpeg \
&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
COPY --from=build /app /app

View File

@ -13,10 +13,10 @@ jobs:
ubuntu-latest:
runs-on: ubuntu-latest
steps:
- uses: actions/setup-go@v5
- uses: actions/setup-go@v3
with:
go-version: '^1.23'
- uses: actions/checkout@v4
go-version: '^1.19'
- uses: actions/checkout@v1
- run: |
cd bindings/go
make test

View File

@ -3,53 +3,20 @@ on:
push:
paths:
- bindings/ruby/**
- src/**/*.c
- src/**/*.cpp
- src/**/*.h
- src/**/*.m
- src/**/*.metal
- include/**/*.c
- include/**/*.cpp
- include/**/*.h
- include/**/*.m
- include/**/*.metal
- ggml/**/*.c
- ggml/**/*.cpp
- ggml/**/*.h
- ggml/**/*.m
- ggml/**/*.metal
- scripts/get-flags.mk
- examples/dr_wav.h
- whisper.h
pull_request:
paths:
- bindings/ruby/**
- src/**/*.c
- src/**/*.cpp
- src/**/*.h
- src/**/*.m
- src/**/*.metal
- include/**/*.c
- include/**/*.cpp
- include/**/*.h
- include/**/*.m
- include/**/*.metal
- ggml/**/*.c
- ggml/**/*.cpp
- ggml/**/*.h
- ggml/**/*.m
- ggml/**/*.metal
- scripts/get-flags.mk
- examples/dr_wav.h
- whisper.h
jobs:
ubuntu-latest:
runs-on: ubuntu-latest
defaults:
run:
working-directory: bindings/ruby
steps:
- uses: ruby/setup-ruby@v1
with:
ruby-version: '3.1'
- uses: actions/checkout@v4
- run: rake test
ruby-version: '3.0'
- uses: actions/checkout@v1
- run: |
cd bindings/ruby/ext
ruby extconf.rb && make

View File

@ -1,19 +1,8 @@
name: CI
on:
push:
branches:
- master
pull_request:
types: [opened, synchronize, reopened]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
on: [push, pull_request]
env:
ubuntu_image: "ubuntu:22.04"
VCPKG_BINARY_SOURCES: "clear;x-gha,readwrite"
jobs:
ubuntu-latest:
@ -22,7 +11,7 @@ jobs:
strategy:
fail-fast: false
matrix:
arch: [linux/amd64, linux/ppc64le]
arch: [linux/amd64, linux/arm64, linux/arm/v7, linux/ppc64le]
steps:
- name: Clone
@ -38,61 +27,9 @@ jobs:
-w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
set -e
apt update
apt install -y build-essential libsdl2-dev cmake
cmake -B build
cmake --build build --config Release -j $(nproc)'
ubuntu-latest-arm64:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
arch: [linux/arm64]
steps:
- name: Clone
uses: actions/checkout@v4
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Build ${{ matrix.arch }}
run: |
docker run --platform ${{ matrix.arch }} --rm \
-v ${{ github.workspace }}:/workspace \
-w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
set -e
apt update
apt install -y build-essential libsdl2-dev cmake
cmake -B build -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8-a
cmake --build build --config Release -j $(nproc)'
ubuntu-latest-arm-v7:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
arch: [linux/arm/v7]
steps:
- name: Clone
uses: actions/checkout@v4
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Build ${{ matrix.arch }}
run: |
docker run --platform ${{ matrix.arch }} --rm \
-v ${{ github.workspace }}:/workspace \
-w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
set -e
apt update
apt install -y build-essential libsdl2-dev cmake
cmake -B build -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv7-a+fp
cmake --build build --config Release -j $(nproc)'
apt install -y build-essential libsdl2-dev
make
make stream'
macOS-latest:
runs-on: macOS-latest
@ -104,30 +41,30 @@ jobs:
- name: Dependencies
run: |
brew update
brew install sdl2 cmake
brew install sdl2
- name: Build
run: |
cmake -B build
cmake --build build --config Release
make
make stream
# freeBSD-latest:
# runs-on: macos-12
#
# steps:
# - name: Clone
# uses: actions/checkout@v4
#
# - name: Build
# uses: cross-platform-actions/action@v0.24.0
# with:
# operating_system: freebsd
# version: '13.3'
# run: |
# sudo pkg update
# sudo pkg install -y gmake sdl2 cmake
# cmake -B build
# cmake --build build --config Release
freeBSD-latest:
runs-on: macos-12
steps:
- name: Clone
uses: actions/checkout@v4
- name: Build
uses: cross-platform-actions/action@v0.24.0
with:
operating_system: freebsd
version: '13.2'
run: |
sudo pkg update
sudo pkg install -y gmake sdl2
gmake
gmake stream
ubuntu-latest-gcc:
runs-on: ubuntu-latest
@ -136,7 +73,7 @@ jobs:
fail-fast: false
matrix:
build: [Debug, Release]
arch: [linux/amd64, linux/ppc64le]
arch: [linux/amd64, linux/arm64, linux/arm/v7, linux/ppc64le]
steps:
- name: Clone
@ -157,62 +94,6 @@ jobs:
make
ctest -L gh --output-on-failure'
ubuntu-latest-gcc-arm64:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
build: [Debug, Release]
arch: [linux/arm64]
steps:
- name: Clone
uses: actions/checkout@v4
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Build ${{ matrix.arch }}
run: |
docker run --platform ${{ matrix.arch }} --rm \
-v ${{ github.workspace }}:/workspace \
-w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
set -e
apt update
apt install -y build-essential cmake libsdl2-dev
cmake . -DWHISPER_SDL2=ON -DCMAKE_BUILD_TYPE=${{ matrix.build }} -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8-a
make
ctest -L gh --output-on-failure'
ubuntu-latest-gcc-arm-v7:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
build: [Debug, Release]
arch: [linux/arm/v7]
steps:
- name: Clone
uses: actions/checkout@v4
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Build ${{ matrix.arch }}
run: |
docker run --platform ${{ matrix.arch }} --rm \
-v ${{ github.workspace }}:/workspace \
-w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
set -e
apt update
apt install -y build-essential cmake libsdl2-dev
cmake . -DWHISPER_SDL2=ON -DCMAKE_BUILD_TYPE=${{ matrix.build }} -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv7-a+fp
make
ctest -L gh --output-on-failure'
ubuntu-latest-clang:
runs-on: ubuntu-latest
@ -220,10 +101,7 @@ jobs:
fail-fast: false
matrix:
build: [Debug, Release]
#arch: [linux/amd64, linux/arm64, linux/arm/v7, linux/ppc64le]
# TODO: arm/v7 disabled due to clang bug
# https://github.com/ggerganov/whisper.cpp/actions/runs/9657764109/job/26637633042?pr=2256#step:4:1990
arch: [linux/amd64, linux/arm64, linux/ppc64le]
arch: [linux/amd64, linux/arm64, linux/arm/v7, linux/ppc64le]
steps:
- name: Clone
@ -319,7 +197,7 @@ jobs:
source /opt/intel/oneapi/setvars.sh
mkdir build
cd build
cmake -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx ..
cmake -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx ..
cmake --build . --config Release -j $(nproc)
ubuntu-22-cmake-sycl-fp16:
@ -369,7 +247,7 @@ jobs:
source /opt/intel/oneapi/setvars.sh
mkdir build
cd build
cmake -DGGML_SYCL_F16=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx ..
cmake -DWHISPER_SYCL_F16=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx ..
cmake --build . --config Release -j $(nproc)
windows-msys2:
@ -398,10 +276,25 @@ jobs:
mingw-w64-${{matrix.env}}-SDL2
mingw-w64-${{matrix.env}}-openblas
- name: Build using make
shell: msys2 {0}
run: |
make -j $(nproc)
- name: Clean after building using make
shell: msys2 {0}
run: |
make clean
- name: Build using make w/ OpenBLAS
shell: msys2 {0}
run: |
make WHISPER_OPENBLAS=1 -j $(nproc)
- name: Build using CMake
shell: msys2 {0}
run: |
cmake -B build -DWHISPER_SDL2=ON
cmake -B build
cmake --build build --config ${{ matrix.build }} -j $(nproc)
- name: Clean after building using CMake
@ -412,7 +305,7 @@ jobs:
- name: Build using CMake w/ OpenBLAS
shell: msys2 {0}
run: |
cmake -B build -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
cmake -B build -DWHISPER_OPENBLAS=ON
cmake --build build --config ${{ matrix.build }} -j $(nproc)
windows:
@ -486,9 +379,14 @@ jobs:
sdl2: [ON]
include:
- arch: Win32
obzip: https://github.com/OpenMathLib/OpenBLAS/releases/download/v0.3.25/OpenBLAS-0.3.25-x86.zip
s2arc: x86
clblast: OFF
- arch: x64
obzip: https://github.com/OpenMathLib/OpenBLAS/releases/download/v0.3.25/OpenBLAS-0.3.25-x64.zip
s2arc: x64
clblast: ON
clver: 1.6.1
- sdl2: ON
s2ver: 2.28.5
@ -496,21 +394,17 @@ jobs:
- name: Clone
uses: actions/checkout@v4
- name: Export GitHub Actions cache environment variables
uses: actions/github-script@v7
with:
script: |
core.exportVariable('ACTIONS_CACHE_URL', process.env.ACTIONS_CACHE_URL || '');
core.exportVariable('ACTIONS_RUNTIME_TOKEN', process.env.ACTIONS_RUNTIME_TOKEN || '');
- name: Add msbuild to PATH
uses: microsoft/setup-msbuild@v2
- name: Install OpenBLAS and pkgconfiglite
- name: Fetch OpenBLAS
if: matrix.blas == 'ON'
run: |
vcpkg install --triplet=${{ matrix.s2arc }}-windows openblas
choco install pkgconfiglite
C:/msys64/usr/bin/wget.exe -qO blas.zip ${{ matrix.obzip }}
7z x blas.zip -oblas -y
copy blas/include/cblas.h .
copy blas/include/openblas_config.h .
echo "OPENBLAS_PATH=$env:GITHUB_WORKSPACE/blas" >> $env:GITHUB_ENV
- name: Fetch SDL2 and set SDL2_DIR
if: matrix.sdl2 == 'ON'
@ -519,37 +413,54 @@ jobs:
7z x sdl2.zip
echo "SDL2_DIR=$env:GITHUB_WORKSPACE/SDL2-${{ matrix.s2ver }}/cmake" >> $env:GITHUB_ENV
- name: Install OpenCL
if: matrix.clblast == 'ON'
run: vcpkg.exe --triplet=${{ matrix.arch }}-windows install opencl
- name: Fetch CLBlast and set CLBlast_DIR
if: matrix.clblast == 'ON'
run: |
C:/msys64/usr/bin/wget.exe -qO clblast.zip https://github.com/CNugteren/CLBlast/releases/download/${{ matrix.clver }}/CLBlast-${{ matrix.clver }}-windows-x64.zip
7z x clblast.zip
7z x CLBlast-${{ matrix.clver }}-windows-x64.7z
echo "CLBlast_DIR=$env:GITHUB_WORKSPACE/CLBlast-${{ matrix.clver }}-windows-x64/lib/cmake/CLBlast" >> $env:GITHUB_ENV
- name: Configure
run: >
cmake -S . -B ./build -A ${{ matrix.arch }}
-DCMAKE_TOOLCHAIN_FILE="$env:VCPKG_INSTALLATION_ROOT/scripts/buildsystems/vcpkg.cmake"
-DCMAKE_BUILD_TYPE=${{ matrix.build }}
-DGGML_BLAS=${{ matrix.blas }}
-DGGML_BLAS_VENDOR=OpenBLAS
-DWHISPER_OPENBLAS=${{ matrix.blas }}
-DCMAKE_LIBRARY_PATH="$env:OPENBLAS_PATH/lib"
-DWHISPER_SDL2=${{ matrix.sdl2 }}
-DWHISPER_CLBLAST=${{ matrix.clblast }}
- name: Build
run: |
cd ./build
msbuild ALL_BUILD.vcxproj -t:build -p:configuration=${{ matrix.build }} -p:platform=${{ matrix.arch }}
- name: Copy openblas.dll
- name: Copy libopenblas.dll
if: matrix.blas == 'ON'
run: copy "C:/vcpkg/packages/openblas_${{ matrix.s2arc }}-windows/bin/openblas.dll" build/bin/${{ matrix.build }}
run: copy "$env:OPENBLAS_PATH/bin/libopenblas.dll" build/bin/${{ matrix.build }}
- name: Copy SDL2.dll
if: matrix.sdl2 == 'ON'
run: copy "$env:SDL2_DIR/../lib/${{ matrix.s2arc }}/SDL2.dll" build/bin/${{ matrix.build }}
- name: Copy clblast.dll
if: matrix.clblast == 'ON'
run: copy "$env:CLBlast_DIR/../../clblast.dll" build/bin/${{ matrix.build }}
- name: Upload binaries
if: matrix.blas == 'ON' && matrix.sdl2 == 'ON'
uses: actions/upload-artifact@v4
with:
name: whisper-blas-bin-${{ matrix.arch }}
name: whisper-blas${{ matrix.clblast == 'ON' && '-clblast' || ''}}-bin-${{ matrix.arch }}
path: build/bin/${{ matrix.build }}
windows-cublas:
runs-on: windows-2019
runs-on: windows-latest
strategy:
matrix:
build: [Release]
@ -559,10 +470,12 @@ jobs:
cuda-toolkit: [12.2.0, 11.8.0]
include:
- arch: x64
sdl2: ON
sdl2_ver: 2.28.5
s2arc: x64
- sdl2: ON
s2ver: 2.28.5
steps:
- name: Clone repository
- name: Clone
uses: actions/checkout@v4
- name: Add msbuild to PATH
@ -574,43 +487,38 @@ jobs:
with:
cuda: '${{ matrix.cuda-toolkit }}'
- name: Install 7-Zip
run: choco install 7zip -y
- name: Fetch SDL2 and set SDL2_DIR
if: matrix.sdl2 == 'ON'
run: |
Invoke-WebRequest -Uri https://github.com/libsdl-org/SDL/releases/download/release-${{ matrix.sdl2_ver }}/SDL2-devel-${{ matrix.sdl2_ver }}-VC.zip -OutFile sdl2.zip
C:/msys64/usr/bin/wget.exe -qO sdl2.zip https://github.com/libsdl-org/SDL/releases/download/release-${{ matrix.s2ver }}/SDL2-devel-${{ matrix.s2ver }}-VC.zip
7z x sdl2.zip
echo "SDL2_DIR=${{ github.workspace }}\SDL2-${{ matrix.sdl2_ver }}\cmake" | Out-File -FilePath $env:GITHUB_ENV -Append
echo "${{ github.workspace }}\SDL2-${{ matrix.sdl2_ver }}\cmake" > SDL2_PATH.txt
- name: Configure CMake
shell: cmd
run: |
cmake -S . -B ./build -A ${{ matrix.arch }} ^
-DCMAKE_BUILD_TYPE=${{ matrix.build }} ^
-DGGML_CUDA=${{ matrix.cublas }} ^
-DCMAKE_CUDA_ARCHITECTURES=all ^
-DWHISPER_SDL2=${{ matrix.sdl2 }} ^
-DSDL2_DIR="%SDL2_DIR%"
- name: Build Project
shell: cmd
echo "SDL2_DIR=$env:GITHUB_WORKSPACE/SDL2-${{ matrix.s2ver }}/cmake" >> $env:GITHUB_ENV
- name: Configure
run: >
cmake -S . -B ./build -A ${{ matrix.arch }}
-DCMAKE_BUILD_TYPE=${{ matrix.build }}
-DWHISPER_CUDA=${{ matrix.cublas }}
-DWHISPER_SDL2=${{ matrix.sdl2 }}
- name: Build ${{ matrix.cuda-toolkit }}
run: |
cd ./build
cmake --build . --config ${{ matrix.build }}
cmake --build . --config ${{ matrix.build }}
- name: Copy CUDA DLLs
run: |
Get-ChildItem "${{ steps.cuda-toolkit.outputs.CUDA_PATH }}/bin/" -Filter "*.dll" |
Copy-Item -Destination "build/bin/${{ matrix.build }}"
run: >
Copy-Item -PassThru
-Path "${{ steps.cuda-toolkit.outputs.CUDA_PATH }}/bin/*.dll"
-Include cudart64_*,cublas64_*,cublasLt64_*
-Destination build/bin/${{ matrix.build }}
- name: Copy SDL2.dll
if: matrix.sdl2 == 'ON'
run: copy "$env:SDL2_DIR/../lib/${{ matrix.arch }}/SDL2.dll" build/bin/${{ matrix.build }}
run: copy "$env:SDL2_DIR/../lib/${{ matrix.s2arc }}/SDL2.dll" build/bin/${{ matrix.build }}
- name: Upload binaries
if: matrix.sdl2 == 'ON'
uses: actions/upload-artifact@v4
with:
name: whisper-cublas-${{ matrix.cuda-toolkit }}-bin-${{ matrix.arch }}
@ -638,7 +546,7 @@ jobs:
emcmake cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }}
make
ios-xcode-build:
ios:
runs-on: macos-latest
strategy:
@ -646,7 +554,7 @@ jobs:
build: [Release]
steps:
- name: Checkout code
- name: Clone
uses: actions/checkout@v4
- name: Configure
@ -654,34 +562,11 @@ jobs:
cp models/for-tests-ggml-base.en.bin models/ggml-base.en.bin
mkdir models/ggml-base.en-encoder.mlmodelc
- name: Build
id: cmake_build
run: |
sysctl -a
mkdir build
cd build
cmake -G Xcode .. \
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DWHISPER_BUILD_EXAMPLES=OFF \
-DWHISPER_BUILD_TESTS=OFF \
-DWHISPER_BUILD_SERVER=OFF \
-DCMAKE_SYSTEM_NAME=iOS \
-DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \
-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO
sudo cmake --install . --config Release
- name: xcodebuild for swift package
id: xcodebuild
run: |
xcodebuild -scheme whisper-Package -destination 'generic/platform=iOS'
#- name: Build objc example
# run: xcodebuild -project examples/whisper.objc/whisper.objc.xcodeproj -scheme whisper.objc -configuration ${{ matrix.build }} -sdk iphoneos build
- name: Build objc example
run: xcodebuild -project examples/whisper.objc/whisper.objc.xcodeproj -scheme whisper.objc -configuration ${{ matrix.build }} -sdk iphonesimulator build
- name: Build swiftui example
run: xcodebuild -project examples/whisper.swiftui/whisper.swiftui.xcodeproj -scheme WhisperCppDemo -configuration ${{ matrix.build }} -sdk iphoneos CODE_SIGNING_REQUIRED=NO CODE_SIGN_IDENTITY= -destination 'generic/platform=iOS' build
run: xcodebuild -project examples/whisper.swiftui/whisper.swiftui.xcodeproj -scheme WhisperCppDemo -configuration ${{ matrix.build }} -sdk iphonesimulator build
android:
runs-on: ubuntu-latest
@ -692,6 +577,12 @@ jobs:
with:
path: whisper
- name: Clone
uses: actions/checkout@v4
with:
repository: ggerganov/ggml
path: ggml
- name: Install Java
uses: actions/setup-java@v4
with:
@ -710,77 +601,75 @@ jobs:
run: |
export PATH_TO_GGML=$PWD/ggml
cd whisper/examples/whisper.android
./gradlew assembleRelease --no-daemon
./gradlew assembleRelease --no-daemon -PGGML_HOME=$PATH_TO_GGML
# TODO: disable because of following fail: https://github.com/ggerganov/whisper.cpp/actions/runs/11019444420/job/30627193602
# android_java:
# runs-on: ubuntu-latest
#
# steps:
# - name: Clone
# uses: actions/checkout@v4
#
# - name: set up JDK 11
# uses: actions/setup-java@v4
# with:
# java-version: '11'
# distribution: 'temurin'
# cache: gradle
#
# - name: Setup Android SDK
# uses: android-actions/setup-android@v3
# with:
# cmdline-tools-version: 9.0
#
# - name: Build
# run: |
# cd examples/whisper.android.java
# chmod +x ./gradlew
# ./gradlew assembleRelease
android_java:
runs-on: ubuntu-latest
# TODO: disabled because of following fail: https://github.com/ggerganov/whisper.cpp/actions/runs/9686220096/job/26735899598
# java:
# needs: [ 'windows' ]
# runs-on: windows-latest
# steps:
# - uses: actions/checkout@v4
#
# - name: Install Java
# uses: actions/setup-java@v4
# with:
# distribution: zulu
# java-version: 20
#
# - name: Download Windows lib
# uses: actions/download-artifact@v4
# with:
# name: win32-x86-64_whisper.dll
# path: bindings/java/build/generated/resources/main/win32-x86-64
#
# - name: Build
# run: |
# models\download-ggml-model.cmd tiny.en
# cd bindings/java
# chmod +x ./gradlew
# ./gradlew build
#
# - name: Upload jar
# uses: actions/upload-artifact@v4
# with:
# name: whispercpp.jar
# path: bindings/java/build/libs/whispercpp-*.jar
#
# - name: Publish package
# if: ${{ github.ref == 'refs/heads/master' }}
# uses: gradle/gradle-build-action@v2.4.2
# with:
# arguments: publish
# build-root-directory: bindings/java
# env:
# MAVEN_USERNAME: ${{ secrets.JIRA_USER }}
# MAVEN_PASSWORD: ${{ secrets.JIRA_PASS }}
# PGP_SECRET: ${{ secrets.GPG_PRIVATE_KEY }}
# PGP_PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }}
steps:
- name: Clone
uses: actions/checkout@v4
- name: set up JDK 11
uses: actions/setup-java@v4
with:
java-version: '11'
distribution: 'temurin'
cache: gradle
- name: Setup Android SDK
uses: android-actions/setup-android@v3
with:
cmdline-tools-version: 9.0
- name: Build
run: |
cd examples/whisper.android.java
chmod +x ./gradlew
./gradlew assembleRelease
java:
needs: [ 'windows' ]
runs-on: windows-latest
steps:
- uses: actions/checkout@v4
- name: Install Java
uses: actions/setup-java@v4
with:
distribution: zulu
java-version: 20
- name: Download Windows lib
uses: actions/download-artifact@v4
with:
name: win32-x86-64_whisper.dll
path: bindings/java/build/generated/resources/main/win32-x86-64
- name: Build
run: |
models\download-ggml-model.cmd tiny.en
cd bindings/java
chmod +x ./gradlew
./gradlew build
- name: Upload jar
uses: actions/upload-artifact@v4
with:
name: whispercpp.jar
path: bindings/java/build/libs/whispercpp-*.jar
- name: Publish package
if: ${{ github.ref == 'refs/heads/master' }}
uses: gradle/gradle-build-action@v2.4.2
with:
arguments: publish
build-root-directory: bindings/java
env:
MAVEN_USERNAME: ${{ secrets.JIRA_USER }}
MAVEN_PASSWORD: ${{ secrets.JIRA_PASS }}
PGP_SECRET: ${{ secrets.GPG_PRIVATE_KEY }}
PGP_PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }}
quantize:
runs-on: ubuntu-latest
@ -792,6 +681,5 @@ jobs:
- name: Test quantize
run: |
./models/download-ggml-model.sh tiny.en
cmake -B build
cmake --build build --config Release
./build/bin/quantize models/ggml-tiny.en.bin models/ggml-tiny.en-q4_0.bin q4_0
make quantize
./quantize models/ggml-tiny.en.bin models/ggml-tiny.en-q4_0.bin q4_0

View File

@ -17,10 +17,8 @@ jobs:
strategy:
matrix:
config:
- { tag: "main", dockerfile: ".devops/main.Dockerfile", platform: "linux/amd64" }
#TODO: the cuda image keeps failing - disable for now
# https://github.com/ggerganov/whisper.cpp/actions/runs/11019444428/job/30602020339
#- { tag: "main-cuda", dockerfile: ".devops/main-cuda.Dockerfile", platform: "linux/amd64" }
- { tag: "main", dockerfile: ".devops/main.Dockerfile", platform: "linux/amd64,linux/arm64" }
- { tag: "main-cuda", dockerfile: ".devops/main-cuda.Dockerfile", platform: "linux/amd64" }
steps:
- name: Check out the repo
@ -45,7 +43,7 @@ jobs:
with:
context: .
push: true
platforms: ${{ matrix.config.platform }}
platforms: ${{ matrix.config.platforms }}
tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}-${{ env.COMMIT_SHA }}"
file: ${{ matrix.config.dockerfile }}
@ -54,6 +52,6 @@ jobs:
with:
context: .
push: ${{ github.event_name == 'push' }}
platforms: ${{ matrix.config.platform }}
platforms: ${{ matrix.config.platforms }}
tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}"
file: ${{ matrix.config.dockerfile }}

17
.gitignore vendored
View File

@ -1,28 +1,31 @@
*.o
*.a
*.d
.cache/
.coreml/
.test/
.venv/
.vs/
.vscode/
.DS_Store
.vimspector.json
/CMakeSettings.json
/talk-llama.dSYM/
build/
build-*/
build-coreml/
build-em/
build-debug/
build-release/
build-rwdi/
build-static/
build-cublas/
build-no-accel/
build-sanitize-addr/
build-sanitize-thread/
# SPM
.build/
.swiftpm
*.metallib
ggml-metal-embed.metal
ggml-metal-embed.metal.tmp
/main
/stream
/command

3
.gitmodules vendored
View File

@ -0,0 +1,3 @@
[submodule "bindings/ios"]
path = bindings/ios
url = https://github.com/ggerganov/whisper.spm

View File

@ -1,31 +1,25 @@
cmake_minimum_required(VERSION 3.5) # for add_link_options and implicit target directories.
project("whisper.cpp" C CXX)
project("whisper.cpp" VERSION 1.7.4)
include(CheckIncludeFileCXX)
cmake_minimum_required (VERSION 3.5)
# Allow for the creation of solution folders.
set_property(GLOBAL PROPERTY USE_FOLDERS ON)
project(whisper.cpp VERSION 1.6.2)
set(SOVERSION 1)
#set(CMAKE_WARN_DEPRECATED YES)
set(CMAKE_WARN_UNUSED_CLI YES)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
if (NOT XCODE AND NOT MSVC AND NOT CMAKE_BUILD_TYPE)
set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "MinSizeRel" "RelWithDebInfo")
endif()
# Add path to modules
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/")
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
if (CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
set(WHISPER_STANDALONE ON)
include(git-vars)
include(GitVars)
include(BuildTypes)
# configure project version
if (EXISTS "${CMAKE_SOURCE_DIR}/bindings/ios/Makefile-tmpl")
configure_file(${CMAKE_SOURCE_DIR}/bindings/ios/Makefile-tmpl ${CMAKE_SOURCE_DIR}/bindings/ios/Makefile @ONLY)
endif()
configure_file(${CMAKE_SOURCE_DIR}/bindings/javascript/package-tmpl.json ${CMAKE_SOURCE_DIR}/bindings/javascript/package.json @ONLY)
else()
set(WHISPER_STANDALONE OFF)
@ -35,11 +29,6 @@ if (EMSCRIPTEN)
set(BUILD_SHARED_LIBS_DEFAULT OFF)
option(WHISPER_WASM_SINGLE_FILE "whisper: embed WASM inside the generated whisper.js" ON)
# TODO: without these, we get the following error:
# wasm-ld: error: --shared-memory is disallowed by whisper.cpp.o because it was not compiled with 'atomics' or 'bulk-memory' features.
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -pthread -s TOTAL_STACK=5242880")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread -s TOTAL_STACK=5242880")
else()
if (MINGW)
set(BUILD_SHARED_LIBS_DEFAULT OFF)
@ -48,136 +37,756 @@ else()
endif()
endif()
option(BUILD_SHARED_LIBS "build shared libraries" ${BUILD_SHARED_LIBS_DEFAULT})
# options
#
# option list
#
if (APPLE)
set(WHISPER_METAL_DEFAULT ON)
else()
set(WHISPER_METAL_DEFAULT OFF)
endif()
# general
option(WHISPER_CCACHE "whisper: use ccache if available" ON)
option(BUILD_SHARED_LIBS "whisper: build shared libs" ${BUILD_SHARED_LIBS_DEFAULT})
# debug
option(WHISPER_ALL_WARNINGS "whisper: enable all compiler warnings" ON)
option(WHISPER_ALL_WARNINGS_3RD_PARTY "whisper: enable all compiler warnings in 3rd party libs" OFF)
# build
option(WHISPER_FATAL_WARNINGS "whisper: enable -Werror flag" OFF)
option(WHISPER_SANITIZE_THREAD "whisper: enable thread sanitizer" OFF)
option(WHISPER_SANITIZE_ADDRESS "whisper: enable address sanitizer" OFF)
option(WHISPER_SANITIZE_UNDEFINED "whisper: enable undefined sanitizer" OFF)
# sanitizers
option(WHISPER_SANITIZE_THREAD "whisper: enable thread sanitizer" OFF)
option(WHISPER_SANITIZE_ADDRESS "whisper: enable address sanitizer" OFF)
option(WHISPER_SANITIZE_UNDEFINED "whisper: enable undefined sanitizer" OFF)
option(WHISPER_BUILD_TESTS "whisper: build tests" ${WHISPER_STANDALONE})
option(WHISPER_BUILD_EXAMPLES "whisper: build examples" ${WHISPER_STANDALONE})
# extra artifacts
option(WHISPER_BUILD_TESTS "whisper: build tests" ${WHISPER_STANDALONE})
option(WHISPER_BUILD_EXAMPLES "whisper: build examples" ${WHISPER_STANDALONE})
option(WHISPER_BUILD_SERVER "whisper: build server example" ${WHISPER_STANDALONE})
# 3rd party libs
option(WHISPER_CURL "whisper: use libcurl to download model from an URL" OFF)
option(WHISPER_SDL2 "whisper: support for libSDL2" OFF)
option(WHISPER_SDL2 "whisper: support for libSDL2" OFF)
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
option(WHISPER_FFMPEG "whisper: support building and linking with ffmpeg libs (avcodec, swresample, ...)" OFF)
option(WHISPER_FFMPEG "whisper: support building and linking with ffmpeg libs (avcodec, swresample, ...)" OFF)
endif()
option(WHISPER_COREML "whisper: enable Core ML framework" OFF)
option(WHISPER_COREML_ALLOW_FALLBACK "whisper: allow non-CoreML fallback" OFF)
option(WHISPER_OPENVINO "whisper: support for OpenVINO" OFF)
option(WHISPER_NO_AVX "whisper: disable AVX" OFF)
option(WHISPER_NO_AVX2 "whisper: disable AVX2" OFF)
option(WHISPER_NO_AVX512 "whisper: disable AVX512" ON)
option(WHISPER_NO_AVX512_VBMI "whisper: disable AVX512-VBMI" ON)
option(WHISPER_NO_AVX512_VNNI "whisper: disable AVX512-VNNI" ON)
option(WHISPER_NO_FMA "whisper: disable FMA" OFF)
option(WHISPER_NO_F16C "whisper: disable F16c" OFF)
# Required for relocatable CMake package
include(${CMAKE_CURRENT_SOURCE_DIR}/cmake/build-info.cmake)
option(WHISPER_OPENVINO "whisper: support for OpenVINO" OFF)
# override ggml options
set(GGML_CCACHE ${WHISPER_CCACHE})
set(GGML_SANITIZE_THREAD ${WHISPER_SANITIZE_THREAD})
set(GGML_SANITIZE_ADDRESS ${WHISPER_SANITIZE_ADDRESS})
set(GGML_SANITIZE_UNDEFINED ${WHISPER_SANITIZE_UNDEFINED})
set(GGML_ALL_WARNINGS ${WHISPER_ALL_WARNINGS})
set(GGML_FATAL_WARNINGS ${WHISPER_FATAL_WARNINGS})
if (APPLE)
option(WHISPER_NO_ACCELERATE "whisper: disable Accelerate framework" OFF)
option(WHISPER_METAL "whisper: use Metal" ${WHISPER_METAL_DEFAULT})
option(WHISPER_METAL_NDEBUG "whisper: disable Metal debugging" OFF)
option(WHISPER_COREML "whisper: enable Core ML framework" OFF)
option(WHISPER_COREML_ALLOW_FALLBACK "whisper: allow non-CoreML fallback" OFF)
option(WHISPER_METAL_EMBED_LIBRARY "whisper: embed Metal library" OFF)
else()
option(WHISPER_BLAS "whisper: use BLAS libraries" OFF)
option(WHISPER_BLAS_VENDOR "whisper: BLAS library vendor" Generic)
option(WHISPER_OPENBLAS "whisper: prefer OpenBLAS" OFF)
option(WHISPER_OPENBLAS_INTERFACE64 "whisper: use OpenBLAS w/ 64-bit interface" OFF)
option(WHISPER_CUDA "whisper: support for CUDA" OFF)
option(WHISPER_CUBLAS "whisper: support for CUDA (deprecated)" OFF)
option(WHISPER_HIPBLAS "whisper: support for hipBLAS" OFF)
option(WHISPER_CLBLAST "whisper: use CLBlast" OFF)
option(WHISPER_MKL "whisper: use Intel Math Kernel Library (MKL)" OFF)
option(WHISPER_SYCL "whisper: use SYCL" OFF)
option(WHISPER_SYCL_F16 "whisper: use 16 bit floats for sycl calculations" OFF)
endif()
# transition helpers
function (whisper_option_depr TYPE OLD NEW)
if (${OLD})
message(${TYPE} "${OLD} is deprecated and will be removed in the future.\nUse ${NEW} instead\n")
set(${NEW} ON)
option(WHISPER_PERF "whisper: enable perf timings" OFF)
# sanitizers
if (NOT MSVC)
if (WHISPER_SANITIZE_THREAD)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fsanitize=thread")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=thread")
endif()
endfunction()
whisper_option_depr(FATAL_ERROR WHISPER_CUBLAS GGML_CUDA)
whisper_option_depr(WARNING WHISPER_CUDA GGML_CUDA)
whisper_option_depr(WARNING WHISPER_KOMPUTE GGML_KOMPUTE)
whisper_option_depr(WARNING WHISPER_METAL GGML_METAL)
whisper_option_depr(WARNING WHISPER_METAL_EMBED_LIBRARY GGML_METAL_EMBED_LIBRARY)
whisper_option_depr(WARNING WHISPER_NATIVE GGML_NATIVE)
whisper_option_depr(WARNING WHISPER_OPENMP GGML_OPENMP)
whisper_option_depr(WARNING WHISPER_RPC GGML_RPC)
whisper_option_depr(WARNING WHISPER_SYCL GGML_SYCL)
whisper_option_depr(WARNING WHISPER_SYCL_F16 GGML_SYCL_F16)
if (WHISPER_SANITIZE_ADDRESS)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fsanitize=address -fno-omit-frame-pointer")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=address -fno-omit-frame-pointer")
endif()
#
# build the library
#
if (NOT TARGET ggml)
add_subdirectory(ggml)
# ... otherwise assume ggml is added by a parent CMakeLists.txt
if (WHISPER_SANITIZE_UNDEFINED)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fsanitize=undefined")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=undefined")
endif()
endif()
#set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -ffast-math")
#set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -march=native")
# dependencies
find_package(Threads REQUIRED)
#compile flag sycl
if (WHISPER_SYCL)
set(CMAKE_CXX_STANDARD 17)
else()
set(CMAKE_CXX_STANDARD 11)
endif()
if (WHISPER_FFMPEG)
# As of cmake 3.27, there is no official cmake support for FindFFmpeg.
# Consequnelty we added a FindFFmpeg.cmake script the cmake subfolder:
# whisper.cpp does not need the full ffmpeg libs, just AVFORMAT AVCODEC AVUTIL SWRESAMPLE
# libswresample performs highly optimized audio resampling, rematrixing and sample format conversion operations
# libavcodec provides a generic encoding/decoding framework and contains multiple decoders and encoders for audio, video and subtitle streams, and several bitstream filters.
# libavformat provides a generic framework for multiplexing and demultiplexing (muxing and demuxing) audio, video and subtitle streams.
find_package(FFmpeg REQUIRED)
if (NOT ${FFMPEG_FOUND})
message(FATAL_ERROR "Cannot find ffmpeg libs/headers")
endif()
message(STATUS "Found ffmpeg libs: ${FFMPEG_LIBRARIES}")
message(STATUS "Found ffmpeg headers in: ${FFMPEG_INCLUDE_DIRS}")
message(STATUS "ffmpeg definitions: ${FFMPEG_DEFINITIONS}")
message(STATUS "Found avformat ${AVFORMAT_VERSION}")
include_directories(${FFMPEG_INCLUDE_DIRS})
add_compile_definitions(WHISPER_FFMPEG)
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ${FFMPEG_LIBRARIES})
endif()
# on APPLE
if (APPLE)
# include Accelerate framework
if (NOT WHISPER_NO_ACCELERATE)
find_library(ACCELERATE_FRAMEWORK Accelerate)
if (ACCELERATE_FRAMEWORK)
message(STATUS "Accelerate framework found")
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ${ACCELERATE_FRAMEWORK})
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_ACCELERATE -DACCELERATE_NEW_LAPACK -DACCELERATE_LAPACK_ILP64)
else()
message(FATAL_ERROR "Accelerate framework not found")
endif()
endif()
if (WHISPER_METAL)
find_library(FOUNDATION_LIBRARY Foundation REQUIRED)
find_library(METAL_FRAMEWORK Metal REQUIRED)
find_library(METALKIT_FRAMEWORK MetalKit REQUIRED)
if (METAL_FRAMEWORK)
message(STATUS "Metal framework found")
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS}
${FOUNDATION_LIBRARY}
${METAL_FRAMEWORK}
${METALKIT_FRAMEWORK}
)
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_METAL)
if (WHISPER_METAL_NDEBUG)
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_METAL_NDEBUG)
endif()
else()
message(FATAL_ERROR "Metal framework not found")
endif()
set(GGML_SOURCES_METAL ggml-metal.m ggml-metal.h)
# copy ggml-common.h and ggml-metal.metal to bin directory
configure_file(ggml-common.h bin/ggml-common.h COPYONLY)
configure_file(ggml-metal.metal bin/ggml-metal.metal COPYONLY)
if (WHISPER_METAL_EMBED_LIBRARY)
enable_language(ASM)
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_METAL_EMBED_LIBRARY)
set(METALLIB_SOURCE "${CMAKE_CURRENT_SOURCE_DIR}/ggml-metal.metal")
set(COMMON_HEADER "${CMAKE_CURRENT_SOURCE_DIR}/ggml-common.h")
file(MAKE_DIRECTORY "${CMAKE_BINARY_DIR}/autogenerated")
set(EMBED_METALLIB_ASSEMBLY "${CMAKE_BINARY_DIR}/autogenerated/ggml-embed-metallib.s")
set(EMBED_METALLIB_SOURCE "${CMAKE_BINARY_DIR}/autogenerated/ggml-metal-combined.metal")
add_custom_command(
OUTPUT ${EMBED_METALLIB_SOURCE}
COMMAND sed -e "/^#include \\\"ggml-common.h\\\"/r ${COMMON_HEADER}" -e "/^#include \\\"ggml-common.h\\\"/d" ${METALLIB_SOURCE} > ${EMBED_METALLIB_SOURCE}
DEPENDS ${METALLIB_SOURCE} ${COMMON_HEADER}
COMMENT "Generating combined Metal library for embedding"
)
add_custom_command(
OUTPUT ${EMBED_METALLIB_ASSEMBLY}
COMMAND echo ".section __DATA,__ggml_metallib" > ${EMBED_METALLIB_ASSEMBLY}
COMMAND echo ".globl _ggml_metallib_start" >> ${EMBED_METALLIB_ASSEMBLY}
COMMAND echo "_ggml_metallib_start:" >> ${EMBED_METALLIB_ASSEMBLY}
COMMAND echo ".incbin \\\"${EMBED_METALLIB_SOURCE}\\\"" >> ${EMBED_METALLIB_ASSEMBLY}
COMMAND echo ".globl _ggml_metallib_end" >> ${EMBED_METALLIB_ASSEMBLY}
COMMAND echo "_ggml_metallib_end:" >> ${EMBED_METALLIB_ASSEMBLY}
DEPENDS ${EMBED_METALLIB_SOURCE}
COMMENT "Generate assembly for embedded Metal library"
)
set(GGML_SOURCES_METAL ${GGML_SOURCES_METAL} ${EMBED_METALLIB_ASSEMBLY})
endif()
endif()
if (WHISPER_COREML)
find_library(FOUNDATION_FRAMEWORK Foundation)
find_library(COREML_FRAMEWORK CoreML)
if (COREML_FRAMEWORK)
message(STATUS "CoreML framework found")
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DWHISPER_USE_COREML)
else()
message(FATAL_ERROR "CoreML framework not found")
endif()
if (WHISPER_COREML_ALLOW_FALLBACK)
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DWHISPER_COREML_ALLOW_FALLBACK)
endif()
endif()
endif()
if (WHISPER_OPENBLAS)
set(WHISPER_BLAS_VENDOR "OpenBLAS")
set(WHISPER_BLAS ON)
# BLA_PKGCONFIG_BLAS is supported since CMake 3.25.
# FindBLAS.cmake pkg-config logic seems incomplete, because when
# BLA_SIZEOF_INTEGER is 8, then it should search for blas64 instead of blas.
# blas.pc/blas64.pc are not always provided, so let's be more specific
# and go with openblas.pc/openblas64.pc if WHISPER_OPENBLAS is on.
if (WHISPER_OPENBLAS_INTERFACE64)
set(WHISPER_BLAS_LIB "openblas64")
else ()
set(WHISPER_BLAS_LIB "openblas")
endif ()
set(BLA_PKGCONFIG_BLAS ${WHISPER_BLAS_LIB})
# OpenBLAS prebuilt libraries for Windows do not have "64" suffix in filename.
# (But .pc file has "64" suffix in filename for USE_64BITINT=1 Windows build.)
if (MSVC)
set(WHISPER_BLAS_LIB "openblas")
endif ()
endif()
if (WHISPER_BLAS)
if (NOT "$ENV{OPENBLAS_PATH}" STREQUAL "")
if (WHISPER_STATIC)
set(WHISPER_BLAS_LIB_PREFIX ${CMAKE_STATIC_LIBRARY_PREFIX})
set(WHISPER_BLAS_LIB_SUFFIX ${CMAKE_STATIC_LIBRARY_SUFFIX})
else ()
if (CMAKE_IMPORT_LIBRARY_SUFFIX)
set(WHISPER_BLAS_LIB_PREFIX ${CMAKE_IMPORT_LIBRARY_PREFIX})
set(WHISPER_BLAS_LIB_SUFFIX ${CMAKE_IMPORT_LIBRARY_SUFFIX})
else ()
set(WHISPER_BLAS_LIB_PREFIX ${CMAKE_SHARED_LIBRARY_PREFIX})
set(WHISPER_BLAS_LIB_SUFFIX ${CMAKE_SHARED_LIBRARY_SUFFIX})
endif ()
endif ()
# OpenBLAS prebuilt libraries hardcode "lib" prefix in filename even on Windows
if (WHISPER_OPENBLAS)
set(WHISPER_BLAS_LIB_PREFIX "lib")
endif ()
message(STATUS "BLAS compatible library path provided")
set(BLAS_LIBRARIES "$ENV{OPENBLAS_PATH}/lib/${WHISPER_BLAS_LIB_PREFIX}${WHISPER_BLAS_LIB}${WHISPER_BLAS_LIB_SUFFIX}")
message(STATUS "Libraries ${BLAS_LIBRARIES}")
set(BLAS_INCLUDE_DIRS "$ENV{OPENBLAS_PATH}/include")
message(STATUS "Include dirs ${BLAS_INCLUDE_DIRS}")
if (NOT EXISTS "${BLAS_LIBRARIES}")
message(FATAL_ERROR "BLAS library was not found. Environment variable OPENBLAS_PATH misdefined.")
endif ()
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_OPENBLAS)
include_directories(${BLAS_INCLUDE_DIRS})
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ${BLAS_LIBRARIES})
else ()
if (WHISPER_STATIC)
# FindBLAS.cmake pkg-config logic seems incomplete, because when
# BLA_STATIC is on, then it should use pkg_check_modules_static
# instead of pkg_check_modules.
# Some manual variable overriding may be necessary if you don't
# achieve desired results.
set(BLA_STATIC 1)
endif ()
set(BLA_VENDOR ${WHISPER_BLAS_VENDOR})
if (WHISPER_OPENBLAS_INTERFACE64)
set(BLA_SIZEOF_INTEGER 8)
else ()
set(BLA_SIZEOF_INTEGER 4)
endif()
set(BLA_PREFER_PKGCONFIG 1)
find_package(BLAS)
if(BLAS_FOUND)
message(STATUS "BLAS compatible library found")
message(STATUS "Libraries ${BLAS_LIBRARIES}")
if (NOT DEFINED BLAS_INCLUDE_DIRS)
if (PKGC_BLAS_FOUND)
set(BLAS_INCLUDE_DIRS "${PKGC_BLAS_INCLUDE_DIRS}")
else ()
find_path(BLAS_INCLUDE_DIRS cblas.h /usr/include/openblas)
endif()
endif()
message(STATUS "Include dirs ${BLAS_INCLUDE_DIRS}")
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_OPENBLAS)
include_directories(${BLAS_INCLUDE_DIRS})
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ${BLAS_LIBRARIES})
else()
message(FATAL_ERROR "BLAS library was not found")
endif()
endif ()
endif ()
if (WHISPER_MKL)
find_package(MKL CONFIG REQUIRED PATHS $ENV{MKLROOT})
message(STATUS "Imported oneMKL targets: ${MKL_IMPORTED_TARGETS}")
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_OPENBLAS)
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_BLAS_USE_MKL)
endif()
if (WHISPER_CUBLAS)
message(WARNING "WHISPER_CUBLAS is deprecated and will be removed in the future.\nUse WHISPER_CUDA instead")
set(WHISPER_CUDA ON)
endif()
if (WHISPER_CUDA)
cmake_minimum_required(VERSION 3.17)
find_package(CUDAToolkit)
if (CUDAToolkit_FOUND)
message(STATUS "cuBLAS found")
enable_language(CUDA)
file(GLOB GGML_SOURCES_CUDA "ggml-cuda/*.cu")
list(APPEND GGML_SOURCES_CUDA ggml-cuda.h)
list(APPEND GGML_SOURCES_CUDA ggml-cuda.cu)
add_compile_definitions(GGML_USE_CUDA)
if (WHISPER_STATIC)
if (WIN32)
# As of 12.3.1 CUDA Tookit for Windows does not offer a static cublas library
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas CUDA::cublasLt CUDA::cufft)
else ()
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static CUDA::cufft_static)
endif()
else()
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt CUDA::cufft)
endif()
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cuda_driver)
else()
message(FATAL_ERROR "cuBLAS not found")
endif()
endif()
if (WHISPER_HIPBLAS)
list(APPEND CMAKE_PREFIX_PATH /opt/rocm)
if (NOT ${CMAKE_C_COMPILER_ID} MATCHES "Clang")
message(WARNING "Only LLVM is supported for HIP, hint: CC=/opt/rocm/llvm/bin/clang")
endif()
if (NOT ${CMAKE_CXX_COMPILER_ID} MATCHES "Clang")
message(WARNING "Only LLVM is supported for HIP, hint: CXX=/opt/rocm/llvm/bin/clang++")
endif()
find_package(hip)
find_package(hipblas)
find_package(rocblas)
if (${hipblas_FOUND} AND ${hip_FOUND})
message(STATUS "HIP and hipBLAS found")
set(GGML_HEADERS_ROCM "ggml-cuda.h")
file(GLOB GGML_SOURCES_ROCM "ggml-cuda/*.cu")
list(APPEND GGML_SOURCES_ROCM "ggml-cuda.cu")
add_compile_definitions(GGML_USE_HIPBLAS GGML_USE_CUDA)
set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE CXX)
if (WHISPER_STATIC)
message(FATAL_ERROR "Static linking not supported for HIP/ROCm")
endif()
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} hip::device PUBLIC hip::host roc::rocblas roc::hipblas)
else()
message(FATAL_ERROR "hipBLAS or HIP not found. Try setting CMAKE_PREFIX_PATH=/opt/rocm")
endif()
endif()
if (WHISPER_CLBLAST)
find_package(CLBlast)
if (CLBlast_FOUND)
message(STATUS "CLBlast found")
set(GGML_SOURCES_OPENCL ggml-opencl.cpp ggml-opencl.h)
add_compile_definitions(GGML_USE_CLBLAST)
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} clblast)
else()
message(FATAL_ERROR "CLBlast not found")
endif()
endif()
if( WHISPER_OPENVINO )
find_package(OpenVINO REQUIRED COMPONENTS Runtime)
endif()
if (WHISPER_SYCL)
if ( NOT DEFINED ENV{ONEAPI_ROOT})
message(FATAL_ERROR "Not detect ENV {ONEAPI_ROOT}, please install oneAPI & source it, like: source /opt/intel/oneapi/setvars.sh")
endif()
#todo: AOT
find_package(IntelSYCL REQUIRED)
if (WHISPER_SYCL_F16)
add_compile_definitions(GGML_SYCL_F16)
endif()
add_compile_definitions(GGML_USE_SYCL)
add_compile_options(-I./) #include DPCT
add_compile_options(-I/${SYCL_INCLUDE_DIR})
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-narrowing")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O3")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsycl -L${MKLROOT}/lib")
set(GGML_HEADERS_SYCL ggml-sycl.h)
set(GGML_SOURCES_SYCL ggml-sycl.cpp)
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} sycl OpenCL mkl_core pthread m dl mkl_sycl_blas mkl_intel_ilp64 mkl_tbb_thread)
endif()
# compiler flags
if (NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES)
set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "RelWithDebInfo")
endif ()
if (WHISPER_ALL_WARNINGS)
if (NOT MSVC)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} \
-Wall \
-Wextra \
-Wpedantic \
-Wshadow \
-Wcast-qual \
-Wstrict-prototypes \
-Wpointer-arith \
-Wno-unused-function \
")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} \
-Wall \
-Wextra \
-Wpedantic \
-Wcast-qual \
")
else()
# todo : msvc
endif()
endif()
if (NOT MSVC)
# TODO: temporary disabled until we figure out ggml-metal.m
#set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Werror=vla")
#set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fno-math-errno -ffinite-math-only -funsafe-math-optimizations")
endif()
message(STATUS "CMAKE_SYSTEM_PROCESSOR: ${CMAKE_SYSTEM_PROCESSOR}")
if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm" OR ${CMAKE_SYSTEM_PROCESSOR} MATCHES "aarch64")
message(STATUS "ARM detected")
elseif(${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64le")
message(STATUS "PowerPC detected")
else()
message(STATUS "x86 detected")
if (MSVC)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /utf-8")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /utf-8")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /utf-8")
if(NOT WHISPER_NO_AVX512)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX512")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /arch:AVX512")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /arch:AVX512")
# MSVC has no compile-time flags enabling specific
# AVX512 extensions, neither it defines the
# macros corresponding to the extensions.
# Do it manually.
if (NOT WHISPER_NO_AVX512_VBMI)
add_compile_definitions($<$<COMPILE_LANGUAGE:C>:__AVX512VBMI__>)
add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512VBMI__>)
endif()
if (NOT WHISPER_NO_AVX512_VNNI)
add_compile_definitions($<$<COMPILE_LANGUAGE:C>:__AVX512VNNI__>)
add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512VNNI__>)
endif()
elseif(NOT WHISPER_NO_AVX2)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX2")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /arch:AVX2")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /arch:AVX2")
elseif(NOT WHISPER_NO_AVX)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /arch:AVX")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /arch:AVX")
endif()
else()
if (EMSCRIPTEN)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -pthread -s TOTAL_STACK=5242880")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread -s TOTAL_STACK=5242880")
else()
if(NOT WHISPER_NO_AVX)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx")
endif()
if(NOT WHISPER_NO_AVX2)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx2")
endif()
if(NOT WHISPER_NO_AVX512)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw")
if(NOT WHISPER_NO_AVX512_VBMI)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx512vbmi")
endif()
if(NOT WHISPER_NO_AVX512_VNNI)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx512vnni")
endif()
endif()
if(NOT WHISPER_NO_FMA)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mfma")
endif()
if(NOT WHISPER_NO_F16C)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mf16c")
endif()
endif()
endif()
endif()
add_subdirectory(src)
#
# install
# POSIX conformance
#
# clock_gettime came in POSIX.1b (1993)
# CLOCK_MONOTONIC came in POSIX.1-2001 / SUSv3 as optional
# posix_memalign came in POSIX.1-2001 / SUSv3
# M_PI is an XSI extension since POSIX.1-2001 / SUSv3, came in XPG1 (1985)
add_compile_definitions(_XOPEN_SOURCE=600)
# Somehow in OpenBSD whenever POSIX conformance is specified
# some string functions rely on locale_t availability,
# which was introduced in POSIX.1-2008, forcing us to go higher
if (CMAKE_SYSTEM_NAME MATCHES "OpenBSD")
remove_definitions(-D_XOPEN_SOURCE=600)
add_compile_definitions(_XOPEN_SOURCE=700)
endif()
# Data types, macros and functions related to controlling CPU affinity
# are available on Linux through GNU extensions in libc
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
add_compile_definitions(_GNU_SOURCE)
endif()
# RLIMIT_MEMLOCK came in BSD, is not specified in POSIX.1,
# and on macOS its availability depends on enabling Darwin extensions
# similarly on DragonFly, enabling BSD extensions is necessary
if (CMAKE_SYSTEM_NAME MATCHES "Darwin")
add_compile_definitions(_DARWIN_C_SOURCE)
endif()
if (CMAKE_SYSTEM_NAME MATCHES "DragonFly")
add_compile_definitions(_DARWIN_C_SOURCE)
endif()
# alloca is a non-standard interface that is not visible on BSDs when
# POSIX conformance is specified, but not all of them provide a clean way
# to enable it in such cases
if (CMAKE_SYSTEM_NAME MATCHES "FreeBSD")
add_compile_definitions(__BSD_VISIBLE)
endif()
if (CMAKE_SYSTEM_NAME MATCHES "NetBSD")
add_compile_definitions(_NETBSD_SOURCE)
endif()
if (CMAKE_SYSTEM_NAME MATCHES "OpenBSD")
add_compile_definitions(_BSD_SOURCE)
endif()
if (WHISPER_PERF)
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_PERF)
endif()
#
# whisper.coreml - Core ML support
#
if (WHISPER_COREML)
set(TARGET whisper.coreml)
add_library(${TARGET}
coreml/whisper-encoder.h
coreml/whisper-encoder.mm
coreml/whisper-encoder-impl.h
coreml/whisper-encoder-impl.m
)
include(DefaultTargetOptions)
target_include_directories(${TARGET} PUBLIC
.
)
target_link_libraries(${TARGET} PRIVATE ${FOUNDATION_FRAMEWORK} ${COREML_FRAMEWORK})
set_target_properties(${TARGET} PROPERTIES
COMPILE_FLAGS "-fobjc-arc"
)
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
endif()
if (WHISPER_OPENVINO)
set(TARGET whisper.openvino)
add_library(${TARGET} OBJECT
openvino/whisper-openvino-encoder.h
openvino/whisper-openvino-encoder.cpp
)
target_include_directories(${TARGET} PUBLIC
.
)
set_property(TARGET ${TARGET} PROPERTY POSITION_INDEPENDENT_CODE ON)
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DWHISPER_USE_OPENVINO)
target_link_libraries(${TARGET} PRIVATE openvino::runtime)
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
endif()
#
# whisper - this is the main library of the project
#
set(TARGET whisper)
add_library(${TARGET}
ggml.h
ggml.c
ggml-alloc.h
ggml-alloc.c
ggml-backend.h
ggml-backend.c
ggml-quants.h
ggml-quants.c
${GGML_SOURCES_METAL}
${GGML_SOURCES_CUDA}
${GGML_SOURCES_OPENCL}
${GGML_SOURCES_SYCL} ${GGML_HEADERS_SYCL}
${GGML_SOURCES_ROCM} ${GGML_HEADERS_ROCM}
whisper.h
whisper.cpp
)
if (WHISPER_CUDA)
target_sources(${TARGET} PRIVATE whisper-mel-cuda.cu)
endif()
include_directories (
.
)
# Set the version numbers
set_target_properties(whisper PROPERTIES
VERSION ${PROJECT_VERSION}
SOVERSION ${SOVERSION}
)
include(DefaultTargetOptions)
target_include_directories(${TARGET} PUBLIC
.
)
if (WHISPER_COREML)
target_link_libraries(${TARGET} PRIVATE whisper.coreml)
endif()
if (WHISPER_OPENVINO)
target_link_libraries(${TARGET} PRIVATE whisper.openvino)
endif()
if (WHISPER_MKL)
target_link_libraries(${TARGET} PUBLIC MKL::MKL)
endif()
if (MSVC)
target_link_libraries(${TARGET} PRIVATE ${WHISPER_EXTRA_LIBS} ${CMAKE_THREAD_LIBS_INIT})
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -D_CRT_SECURE_NO_WARNINGS)
else()
target_link_libraries(${TARGET} PRIVATE m ${WHISPER_EXTRA_LIBS} ${CMAKE_THREAD_LIBS_INIT})
endif()
if (BUILD_SHARED_LIBS)
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
target_link_libraries(${TARGET} PUBLIC
${CMAKE_DL_LIBS}
)
target_compile_definitions(${TARGET} PUBLIC
WHISPER_SHARED
GGML_SHARED
)
target_compile_definitions(${TARGET} PRIVATE
WHISPER_BUILD
GGML_BUILD
)
if (WHISPER_METAL)
# TODO: I think this should make ggml-metal.m "see" the ggml-metal.metal file from the "bin" directory
# but for some reason it does not work here like it does in llama.cpp
set_target_properties(${TARGET} PROPERTIES RESOURCE "${CMAKE_CURRENT_SOURCE_DIR}/ggml-metal.metal")
endif()
endif()
if (GGML_SOURCES_CUDA)
message(STATUS "GGML CUDA sources found, configuring CUDA architecture")
# Only configure gmml CUDA architectures is not globally set
if (NOT DEFINED GGML_CUDA_ARCHITECTURES)
# Not overriden by user, so set defaults
set(GGML_CUDA_ARCHITECTURES 52 61 70)
endif()
message(STATUS "GGML Configuring CUDA architectures ${GGML_CUDA_ARCHITECTURES}")
set_property(TARGET whisper PROPERTY CUDA_ARCHITECTURES ${GGML_CUDA_ARCHITECTURES})
set_property(TARGET whisper PROPERTY CUDA_SELECT_NVCC_ARCH_FLAGS "Auto")
endif()
if (EMSCRIPTEN)
set_target_properties(${TARGET} PROPERTIES COMPILE_FLAGS "-msimd128")
endif()
target_compile_definitions(${TARGET} PUBLIC
${WHISPER_EXTRA_FLAGS}
)
set_target_properties(${TARGET} PROPERTIES PUBLIC_HEADER "ggml.h;whisper.h")
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
include(GNUInstallDirs)
include(CMakePackageConfigHelpers)
set(WHISPER_BUILD_NUMBER ${BUILD_NUMBER})
set(WHISPER_BUILD_COMMIT ${BUILD_COMMIT})
set(WHISPER_INSTALL_VERSION ${CMAKE_PROJECT_VERSION})
install(TARGETS ${TARGET}
LIBRARY DESTINATION lib
ARCHIVE DESTINATION lib/static
RUNTIME DESTINATION bin
RESOURCE DESTINATION bin
PUBLIC_HEADER DESTINATION include
)
set(WHISPER_INCLUDE_INSTALL_DIR ${CMAKE_INSTALL_INCLUDEDIR} CACHE PATH "Location of header files")
set(WHISPER_LIB_INSTALL_DIR ${CMAKE_INSTALL_LIBDIR} CACHE PATH "Location of library files")
set(WHISPER_BIN_INSTALL_DIR ${CMAKE_INSTALL_BINDIR} CACHE PATH "Location of binary files")
#
# bindings
#
get_directory_property(WHISPER_TRANSIENT_DEFINES COMPILE_DEFINITIONS)
set_target_properties(whisper PROPERTIES PUBLIC_HEADER ${CMAKE_CURRENT_SOURCE_DIR}/include/whisper.h)
install(TARGETS whisper LIBRARY PUBLIC_HEADER)
configure_package_config_file(
${CMAKE_CURRENT_SOURCE_DIR}/cmake/whisper-config.cmake.in
${CMAKE_CURRENT_BINARY_DIR}/whisper-config.cmake
INSTALL_DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/whisper
PATH_VARS
WHISPER_INCLUDE_INSTALL_DIR
WHISPER_LIB_INSTALL_DIR
WHISPER_BIN_INSTALL_DIR )
write_basic_package_version_file(
${CMAKE_CURRENT_BINARY_DIR}/whisper-version.cmake
VERSION ${WHISPER_INSTALL_VERSION}
COMPATIBILITY SameMajorVersion)
install(FILES ${CMAKE_CURRENT_BINARY_DIR}/whisper-config.cmake
${CMAKE_CURRENT_BINARY_DIR}/whisper-version.cmake
DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/whisper)
configure_file(cmake/whisper.pc.in
"${CMAKE_CURRENT_BINARY_DIR}/whisper.pc"
@ONLY)
install(FILES "${CMAKE_CURRENT_BINARY_DIR}/whisper.pc"
DESTINATION lib/pkgconfig)
add_subdirectory(bindings)
#
# programs, examples and tests
#
if (WHISPER_BUILD_TESTS AND NOT CMAKE_JS_VERSION)
#include(CTest)
#add_subdirectory(tests)
enable_testing()
add_subdirectory(tests)
endif ()
if (WHISPER_BUILD_EXAMPLES)

517
Makefile
View File

@ -1,12 +1,504 @@
default: main bench quantize server
ifndef UNAME_S
UNAME_S := $(shell uname -s)
endif
ifndef UNAME_P
UNAME_P := $(shell uname -p)
endif
ifndef UNAME_M
UNAME_M := $(shell uname -m)
endif
ifndef NVCC_VERSION
ifeq ($(call,$(shell which nvcc))$(.SHELLSTATUS),0)
NVCC_VERSION := $(shell nvcc --version | egrep -o "V[0-9]+.[0-9]+.[0-9]+" | cut -c2-)
endif
endif
# In GNU make default CXX is g++ instead of c++. Let's fix that so that users
# of non-gcc compilers don't have to provide g++ alias or wrapper.
DEFCC := cc
DEFCXX := c++
ifeq ($(origin CC),default)
CC := $(DEFCC)
endif
ifeq ($(origin CXX),default)
CXX := $(DEFCXX)
endif
CCV := $(shell $(CC) --version | head -n 1)
CXXV := $(shell $(CXX) --version | head -n 1)
# Mac OS + Arm can report x86_64
# ref: https://github.com/ggerganov/whisper.cpp/issues/66#issuecomment-1282546789
ifeq ($(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 := $(warning Your arch is announced as x86_64, but it seems to actually be ARM64. Not fixing that can lead to bad performance. For more info see: https://github.com/ggerganov/whisper.cpp/issues/66\#issuecomment-1282546789)
endif
endif
endif
#
# Compile flags
#
CFLAGS = -I. -O3 -DNDEBUG -std=c11 -fPIC
CXXFLAGS = -I. -I./examples -O3 -DNDEBUG -std=c++11 -fPIC
LDFLAGS =
ifdef MACOSX_DEPLOYMENT_TARGET
CFLAGS += -mmacosx-version-min=$(MACOSX_DEPLOYMENT_TARGET)
CXXFLAGS += -mmacosx-version-min=$(MACOSX_DEPLOYMENT_TARGET)
LDFLAGS += -mmacosx-version-min=$(MACOSX_DEPLOYMENT_TARGET)
endif
# clock_gettime came in POSIX.1b (1993)
# CLOCK_MONOTONIC came in POSIX.1-2001 / SUSv3 as optional
# posix_memalign came in POSIX.1-2001 / SUSv3
# M_PI is an XSI extension since POSIX.1-2001 / SUSv3, came in XPG1 (1985)
CFLAGS += -D_XOPEN_SOURCE=600
CXXFLAGS += -D_XOPEN_SOURCE=600
# Somehow in OpenBSD whenever POSIX conformance is specified
# some string functions rely on locale_t availability,
# which was introduced in POSIX.1-2008, forcing us to go higher
ifeq ($(UNAME_S),OpenBSD)
CFLAGS += -U_XOPEN_SOURCE -D_XOPEN_SOURCE=700
CXXFLAGS += -U_XOPEN_SOURCE -D_XOPEN_SOURCE=700
endif
# Data types, macros and functions related to controlling CPU affinity
# are available on Linux through GNU extensions in libc
ifeq ($(UNAME_S),Linux)
CFLAGS += -D_GNU_SOURCE
CXXFLAGS += -D_GNU_SOURCE
endif
# RLIMIT_MEMLOCK came in BSD, is not specified in POSIX.1,
# and on macOS its availability depends on enabling Darwin extensions
# similarly on DragonFly, enabling BSD extensions is necessary
ifeq ($(UNAME_S),Darwin)
CFLAGS += -D_DARWIN_C_SOURCE
CXXFLAGS += -D_DARWIN_C_SOURCE
endif
ifeq ($(UNAME_S),DragonFly)
CFLAGS += -D__BSD_VISIBLE
CXXFLAGS += -D__BSD_VISIBLE
endif
# alloca is a non-standard interface that is not visible on BSDs when
# POSIX conformance is specified, but not all of them provide a clean way
# to enable it in such cases
ifeq ($(UNAME_S),FreeBSD)
CFLAGS += -D__BSD_VISIBLE
CXXFLAGS += -D__BSD_VISIBLE
endif
ifeq ($(UNAME_S),NetBSD)
CFLAGS += -D_NETBSD_SOURCE
CXXFLAGS += -D_NETBSD_SOURCE
endif
ifeq ($(UNAME_S),OpenBSD)
CFLAGS += -D_BSD_SOURCE
CXXFLAGS += -D_BSD_SOURCE
endif
# OS specific
# TODO: support Windows
ifeq ($(filter $(UNAME_S),Linux Darwin DragonFly FreeBSD NetBSD OpenBSD Haiku),$(UNAME_S))
CFLAGS += -pthread
CXXFLAGS += -pthread
endif
# detect Windows
ifneq ($(findstring _NT,$(UNAME_S)),)
_WIN32 := 1
endif
# Windows Sockets 2 (Winsock) for network-capable apps
ifeq ($(_WIN32),1)
LWINSOCK2 := -lws2_32
endif
# Architecture specific
# TODO: probably these flags need to be tweaked on some architectures
# feel free to update the Makefile for your architecture and send a pull request or issue
ifeq ($(UNAME_M),$(filter $(UNAME_M),x86_64 i686 amd64))
ifeq ($(UNAME_S),Darwin)
CPUINFO_CMD := sysctl machdep.cpu.features machdep.cpu.leaf7_features
else ifeq ($(UNAME_S),Linux)
CPUINFO_CMD := cat /proc/cpuinfo
else ifneq (,$(filter MINGW32_NT% MINGW64_NT% MSYS_NT%,$(UNAME_S)))
CPUINFO_CMD := cat /proc/cpuinfo
else ifneq (,$(filter DragonFly FreeBSD,$(UNAME_S)))
CPUINFO_CMD := grep Features /var/run/dmesg.boot
else ifeq ($(UNAME_S),Haiku)
CPUINFO_CMD := sysinfo -cpu
endif
# x86 ISA extensions (chronological order)
ifdef CPUINFO_CMD
SSE3_M := $(shell $(CPUINFO_CMD) | grep -iwE 'PNI|SSE3')
SSSE3_M := $(shell $(CPUINFO_CMD) | grep -iw 'SSSE3')
AVX_M := $(shell $(CPUINFO_CMD) | grep -iwE 'AVX|AVX1.0')
F16C_M := $(shell $(CPUINFO_CMD) | grep -iw 'F16C')
FMA_M := $(shell $(CPUINFO_CMD) | grep -iw 'FMA')
AVX2_M := $(shell $(CPUINFO_CMD) | grep -iw 'AVX2')
AVX512F_M := $(shell $(CPUINFO_CMD) | grep -iw 'AVX512F')
AVX512VBMI_M := $(shell $(CPUINFO_CMD) | grep -iw 'AVX512VBMI')
AVX512VNNI_M := $(shell $(CPUINFO_CMD) | grep -iwE 'AVX512_VNNI|AVX512VNNI')
# AVX-512 has many subsets, so let's make it easy to disable them all
ifneq ($(filter-out 0,$(WHISPER_NO_AVX512)),)
AVX512F_M :=
AVX512VBMI_M :=
AVX512VNNI_M :=
endif
ifneq (,$(SSE3_M))
CFLAGS += -msse3
CXXFLAGS += -msse3
endif
ifneq (,$(SSSE3_M))
CFLAGS += -mssse3
CXXFLAGS += -mssse3
endif
ifneq (,$(AVX_M))
CFLAGS += -mavx
CXXFLAGS += -mavx
endif
ifneq (,$(F16C_M))
CFLAGS += -mf16c
CXXFLAGS += -mf16c
endif
ifneq (,$(FMA_M))
CFLAGS += -mfma
CXXFLAGS += -mfma
endif
ifneq (,$(AVX2_M))
CFLAGS += -mavx2
CXXFLAGS += -mavx2
endif
ifneq (,$(AVX512F_M))
CFLAGS += -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw
CXXFLAGS += -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw
endif
ifneq (,$(AVX512VBMI_M))
CFLAGS += -mavx512vbmi
CXXFLAGS += -mavx512vbmi
endif
ifneq (,$(AVX512VNNI_M))
CFLAGS += -mavx512vnni
CXXFLAGS += -mavx512vnni
endif
endif
endif
ifneq ($(filter ppc64%,$(UNAME_M)),)
POWER9_M := $(shell grep "POWER9" /proc/cpuinfo)
ifneq (,$(findstring POWER9,$(POWER9_M)))
CFLAGS += -mpower9-vector
endif
# Require c++23's std::byteswap for big-endian support.
ifeq ($(UNAME_M),ppc64)
CXXFLAGS += -std=c++23 -DGGML_BIG_ENDIAN
endif
endif
ifndef WHISPER_NO_ACCELERATE
# Mac M1 - include Accelerate framework
ifeq ($(UNAME_S),Darwin)
CFLAGS += -DGGML_USE_ACCELERATE
CFLAGS += -DACCELERATE_NEW_LAPACK
CFLAGS += -DACCELERATE_LAPACK_ILP64
LDFLAGS += -framework Accelerate
endif
endif
ifdef WHISPER_COREML
CXXFLAGS += -DWHISPER_USE_COREML
LDFLAGS += -framework Foundation -framework CoreML
ifdef WHISPER_COREML_ALLOW_FALLBACK
CXXFLAGS += -DWHISPER_COREML_ALLOW_FALLBACK
endif
endif
ifndef WHISPER_NO_METAL
ifeq ($(UNAME_S),Darwin)
WHISPER_METAL := 1
CFLAGS += -DGGML_USE_METAL
CXXFLAGS += -DGGML_USE_METAL
LDFLAGS += -framework Foundation -framework Metal -framework MetalKit
endif
endif
ifneq ($(filter-out 0,$(WHISPER_OPENBLAS)),) # OpenBLAS
WHISPER_OPENBLAS_INTERFACE64 ?= 0 # use 32-bit interface by default
ifneq ($(filter-out 0,$(WHISPER_OPENBLAS_INTERFACE64)),)
WHISPER_BLAS_LIB := openblas64
else
WHISPER_BLAS_LIB := openblas
endif
ifneq ($(OPENBLAS_PATH),)
WHISPER_BLAS_CFLAGS := -I$(OPENBLAS_PATH)/include
WHISPER_BLAS_LDFLAGS := -L$(OPENBLAS_PATH)/lib -l$(WHISPER_BLAS_LIB)
else
WHISPER_BLAS_LIB_PC_EXISTS := $(shell pkg-config --exists $(WHISPER_BLAS_LIB) && echo 1)
ifneq ($(filter-out 0,$(WHISPER_BLAS_LIB_PC_EXISTS)),)
WHISPER_BLAS_CFLAGS := $(shell pkg-config --cflags $(WHISPER_BLAS_LIB))
WHISPER_BLAS_LDFLAGS := $(shell pkg-config --libs $(WHISPER_BLAS_LIB))
else
WHISPER_BLAS_CFLAGS := -I/usr/include/openblas
WHISPER_BLAS_LDFLAGS := -l$(WHISPER_BLAS_LIB)
endif
endif
CFLAGS += $(WHISPER_BLAS_CFLAGS) -DGGML_USE_OPENBLAS
LDFLAGS += $(WHISPER_BLAS_LDFLAGS)
endif
ifdef WHISPER_CUBLAS
# WHISPER_CUBLAS is deprecated and will be removed in the future
WHISPER_CUDA := 1
endif
ifdef WHISPER_CUDA
ifeq ($(shell expr $(NVCC_VERSION) \>= 11.6), 1)
CUDA_ARCH_FLAG ?= native
else
CUDA_ARCH_FLAG ?= all
endif
CFLAGS += -DGGML_USE_CUDA -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include
CXXFLAGS += -DGGML_USE_CUDA -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include
LDFLAGS += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lcufft -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib -L/usr/lib/wsl/lib
WHISPER_OBJ += ggml-cuda.o whisper-mel-cuda.o
WHISPER_OBJ += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/*.cu))
NVCC = nvcc
NVCCFLAGS = --forward-unknown-to-host-compiler -arch=$(CUDA_ARCH_FLAG)
ggml-cuda/%.o: ggml-cuda/%.cu ggml-cuda/%.cuh ggml.h ggml-common.h ggml-cuda/common.cuh
$(NVCC) $(NVCCFLAGS) $(CXXFLAGS) -c $< -o $@
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h ggml.h ggml-backend.h ggml-backend-impl.h ggml-common.h $(wildcard ggml-cuda/*.cuh)
$(NVCC) $(NVCCFLAGS) $(CXXFLAGS) -Wno-pedantic -c $< -o $@
endif
whisper-mel-cuda.o: whisper-mel-cuda.cu whisper.h ggml.h ggml-backend.h whisper-mel.hpp whisper-mel-cuda.hpp
$(NVCC) $(NVCCFLAGS) $(CXXFLAGS) -Wno-pedantic -c $< -o $@
ifdef WHISPER_HIPBLAS
ROCM_PATH ?= /opt/rocm
HIPCC ?= $(ROCM_PATH)/bin/hipcc
GPU_TARGETS ?= $(shell $(ROCM_PATH)/llvm/bin/amdgpu-arch)
CFLAGS += -DGGML_USE_HIPBLAS -DGGML_USE_CUDA
CXXFLAGS += -DGGML_USE_HIPBLAS -DGGML_USE_CUDA
LDFLAGS += -L$(ROCM_PATH)/lib -Wl,-rpath=$(ROCM_PATH)/lib
LDFLAGS += -lhipblas -lamdhip64 -lrocblas
HIPFLAGS += $(addprefix --offload-arch=,$(GPU_TARGETS))
WHISPER_OBJ += ggml-cuda.o
WHISPER_OBJ += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/*.cu))
ggml-cuda/%.o: ggml-cuda/%.cu ggml-cuda/%.cuh ggml.h ggml-common.h ggml-cuda/common.cuh
$(HIPCC) $(CXXFLAGS) $(HIPFLAGS) -x hip -c -o $@ $<
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h ggml.h ggml-backend.h ggml-backend-impl.h ggml-common.h $(wildcard ggml-cuda/*.cuh)
$(HIPCC) $(CXXFLAGS) $(HIPFLAGS) -x hip -c -o $@ $<
endif
ifdef WHISPER_CLBLAST
CFLAGS += -DGGML_USE_CLBLAST
CXXFLAGS += -DGGML_USE_CLBLAST
LDFLAGS += -lclblast
ifeq ($(UNAME_S),Darwin)
LDFLAGS += -framework OpenCL
else
LDFLAGS += -lOpenCL
endif
WHISPER_OBJ += ggml-opencl.o
ggml-opencl.o: ggml-opencl.cpp ggml-opencl.h
$(CXX) $(CXXFLAGS) -c $< -o $@
endif
ifdef WHISPER_GPROF
CFLAGS += -pg
CXXFLAGS += -pg
endif
ifneq ($(filter aarch64%,$(UNAME_M)),)
CFLAGS += -mcpu=native
CXXFLAGS += -mcpu=native
endif
ifneq ($(filter armv6%,$(UNAME_M)),)
# 32-bit Raspberry Pi 1, 2, 3
CFLAGS += -mfpu=neon -mfp16-format=ieee -mno-unaligned-access
endif
ifneq ($(filter armv7%,$(UNAME_M)),)
# 32-bit ARM, for example on Armbian or possibly raspbian
#CFLAGS += -mfpu=neon -mfp16-format=ieee -funsafe-math-optimizations -mno-unaligned-access
#CXXFLAGS += -mfpu=neon -mfp16-format=ieee -funsafe-math-optimizations -mno-unaligned-access
# 64-bit ARM on 32-bit OS, use these (TODO: auto-detect 64-bit)
CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -funsafe-math-optimizations -mno-unaligned-access
CXXFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -funsafe-math-optimizations -mno-unaligned-access
endif
ifneq ($(filter armv8%,$(UNAME_M)),)
# Raspberry Pi 4
CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -funsafe-math-optimizations -mno-unaligned-access
CXXFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -funsafe-math-optimizations -mno-unaligned-access
endif
#
# Print build information
#
$(info I whisper.cpp build info: )
$(info I UNAME_S: $(UNAME_S))
$(info I UNAME_P: $(UNAME_P))
$(info I UNAME_M: $(UNAME_M))
$(info I CFLAGS: $(CFLAGS))
$(info I CXXFLAGS: $(CXXFLAGS))
$(info I LDFLAGS: $(LDFLAGS))
$(info I CC: $(CCV))
$(info I CXX: $(CXXV))
$(info )
ifdef WHISPER_CUBLAS
$(info !!!!)
$(info WHISPER_CUBLAS is deprecated and will be removed in the future. Use WHISPER_CUDA instead.)
$(info !!!!)
$(info )
endif
#
# Build library
#
ggml.o: ggml.c ggml.h ggml-cuda.h
$(CC) $(CFLAGS) -c $< -o $@
ggml-alloc.o: ggml-alloc.c ggml.h ggml-alloc.h
$(CC) $(CFLAGS) -c $< -o $@
ggml-backend.o: ggml-backend.c ggml.h ggml-backend.h
$(CC) $(CFLAGS) -c $< -o $@
ggml-quants.o: ggml-quants.c ggml.h ggml-quants.h
$(CC) $(CFLAGS) -c $< -o $@
WHISPER_OBJ += ggml.o ggml-alloc.o ggml-backend.o ggml-quants.o
whisper.o: whisper.cpp whisper.h whisper-mel.hpp ggml.h ggml-cuda.h
$(CXX) $(CXXFLAGS) -c $< -o $@
ifndef WHISPER_COREML
WHISPER_OBJ += whisper.o
else
whisper-encoder.o: coreml/whisper-encoder.mm coreml/whisper-encoder.h
$(CXX) -O3 -I . -fobjc-arc -c coreml/whisper-encoder.mm -o whisper-encoder.o
whisper-encoder-impl.o: coreml/whisper-encoder-impl.m coreml/whisper-encoder-impl.h
$(CXX) -O3 -I . -fobjc-arc -c coreml/whisper-encoder-impl.m -o whisper-encoder-impl.o
WHISPER_OBJ += whisper.o whisper-encoder.o whisper-encoder-impl.o
endif
ifdef WHISPER_METAL
ggml-metal.o: ggml-metal.m ggml-metal.h
$(CC) $(CFLAGS) -c $< -o $@
WHISPER_OBJ += ggml-metal.o
ifdef WHISPER_METAL_EMBED_LIBRARY
CFLAGS += -DGGML_METAL_EMBED_LIBRARY
ggml-metal-embed.o: ggml-metal.metal ggml-common.h
@echo "Embedding Metal library"
$(eval TEMP_ASSEMBLY=$(shell mktemp))
$(eval TEMP_METALLIB=$(shell mktemp))
@sed "/^#include \"ggml-common.h\"/{r ggml-common.h"$$'\n'"d;}" ggml-metal.metal > $(TEMP_METALLIB)
@echo ".section __DATA, __ggml_metallib" > $(TEMP_ASSEMBLY)
@echo ".globl _ggml_metallib_start" >> $(TEMP_ASSEMBLY)
@echo "_ggml_metallib_start:" >> $(TEMP_ASSEMBLY)
@echo ".incbin \"$(TEMP_METALLIB)\"" >> $(TEMP_ASSEMBLY)
@echo ".globl _ggml_metallib_end" >> $(TEMP_ASSEMBLY)
@echo "_ggml_metallib_end:" >> $(TEMP_ASSEMBLY)
@$(AS) $(TEMP_ASSEMBLY) -o $@
@rm -f $(TEMP_ASSEMBLY) $(TEMP_METALLIB)
WHISPER_OBJ += ggml-metal-embed.o
endif
endif
libwhisper.a: $(WHISPER_OBJ)
$(AR) rcs libwhisper.a $(WHISPER_OBJ)
libwhisper.so: $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) -shared -o libwhisper.so $(WHISPER_OBJ) $(LDFLAGS)
clean:
rm -f *.o main stream command talk talk-llama bench quantize server lsp libwhisper.a libwhisper.so
#
# Examples
#
CC_SDL=`sdl2-config --cflags --libs`
SRC_COMMON = examples/common.cpp examples/common-ggml.cpp examples/grammar-parser.cpp
SRC_COMMON_SDL = examples/common-sdl.cpp
main: examples/main/main.cpp $(SRC_COMMON) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/main/main.cpp $(SRC_COMMON) $(WHISPER_OBJ) -o main $(LDFLAGS)
./main -h
bench: examples/bench/bench.cpp $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/bench/bench.cpp $(WHISPER_OBJ) -o bench $(LDFLAGS)
quantize: examples/quantize/quantize.cpp $(WHISPER_OBJ) $(SRC_COMMON)
$(CXX) $(CXXFLAGS) examples/quantize/quantize.cpp $(SRC_COMMON) $(WHISPER_OBJ) -o quantize $(LDFLAGS)
server: examples/server/server.cpp $(SRC_COMMON) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/server/server.cpp $(SRC_COMMON) $(WHISPER_OBJ) -o server $(LDFLAGS) $(LWINSOCK2)
stream: examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o stream $(CC_SDL) $(LDFLAGS)
command: examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o command $(CC_SDL) $(LDFLAGS)
lsp: examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o lsp $(CC_SDL) $(LDFLAGS)
talk: examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o talk $(CC_SDL) $(LDFLAGS)
talk-llama: examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp examples/talk-llama/unicode.cpp examples/talk-llama/unicode-data.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp examples/talk-llama/unicode.cpp examples/talk-llama/unicode-data.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o talk-llama $(CC_SDL) $(LDFLAGS)
#
# Audio samples
#
.PHONY: build
build:
cmake -B build
cmake --build build --config Release
# download a few audio samples into folder "./samples":
.PHONY: samples
samples:
@ -48,12 +540,9 @@ samples:
.PHONY: large-v1
.PHONY: large-v2
.PHONY: large-v3
.PHONY: large-v3-turbo
tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3 large-v3-turbo:
tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3: main
bash ./models/download-ggml-model.sh $@
cmake -B build
cmake --build build --config Release
@echo ""
@echo "==============================================="
@echo "Running $@ on all samples in ./samples ..."
@ -64,6 +553,14 @@ tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 larg
echo "[+] Running $@ on $$f ... (run 'ffplay $$f' to listen)" ; \
echo "----------------------------------------------" ; \
echo "" ; \
./build/bin/whisper-cli -m models/ggml-$@.bin -f $$f ; \
./main -m models/ggml-$@.bin -f $$f ; \
echo "" ; \
done
#
# Tests
#
.PHONY: tests
tests:
bash ./tests/run-tests.sh $(word 2, $(MAKECMDGOALS))

View File

@ -14,6 +14,48 @@ let package = Package(
.library(name: "whisper", targets: ["whisper"]),
],
targets: [
.systemLibrary(name: "whisper", pkgConfig: "whisper"),
]
.target(
name: "whisper",
path: ".",
exclude: [
"bindings",
"cmake",
"coreml",
"examples",
"extra",
"models",
"samples",
"tests",
"CMakeLists.txt",
"ggml-cuda.cu",
"ggml-cuda.h",
"Makefile"
],
sources: [
"ggml.c",
"whisper.cpp",
"ggml-alloc.c",
"ggml-backend.c",
"ggml-quants.c",
"ggml-metal.m"
],
resources: [.process("ggml-metal.metal")],
publicHeadersPath: "spm-headers",
cSettings: [
.unsafeFlags(["-Wno-shorten-64-to-32", "-O3", "-DNDEBUG"]),
.define("GGML_USE_ACCELERATE"),
.unsafeFlags(["-fno-objc-arc"]),
.define("GGML_USE_METAL")
// NOTE: NEW_LAPACK will required iOS version 16.4+
// We should consider add this in the future when we drop support for iOS 14
// (ref: ref: https://developer.apple.com/documentation/accelerate/1513264-cblas_sgemm?language=objc)
// .define("ACCELERATE_NEW_LAPACK"),
// .define("ACCELERATE_LAPACK_ILP64")
],
linkerSettings: [
.linkedFramework("Accelerate")
]
)
],
cxxLanguageStandard: .cxx11
)

425
README.md
View File

@ -7,23 +7,22 @@
[![Conan Center](https://shields.io/conan/v/whisper-cpp)](https://conan.io/center/whisper-cpp)
[![npm](https://img.shields.io/npm/v/whisper.cpp.svg)](https://www.npmjs.com/package/whisper.cpp/)
Stable: [v1.7.4](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.7.4) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
Stable: [v1.6.2](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.6.0) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisper) automatic speech recognition (ASR) model:
- Plain C/C++ implementation without dependencies
- Apple Silicon first-class citizen - optimized via ARM NEON, Accelerate framework, Metal and [Core ML](#core-ml-support)
- Apple Silicon first-class citizen - optimized via ARM NEON, Accelerate framework, Metal and [Core ML](https://github.com/ggerganov/whisper.cpp#core-ml-support)
- AVX intrinsics support for x86 architectures
- VSX intrinsics support for POWER architectures
- Mixed F16 / F32 precision
- [Integer quantization support](#quantization)
- [4-bit and 5-bit integer quantization support](https://github.com/ggerganov/whisper.cpp#quantization)
- Zero memory allocations at runtime
- [Vulkan support](#vulkan-gpu-support)
- Support for CPU-only inference
- [Efficient GPU support for NVIDIA](#nvidia-gpu-support)
- [OpenVINO Support](#openvino-support)
- [Ascend NPU Support](#ascend-npu-support)
- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/include/whisper.h)
- [Efficient GPU support for NVIDIA](https://github.com/ggerganov/whisper.cpp#nvidia-gpu-support-via-cublas)
- [Partial OpenCL GPU support via CLBlast](https://github.com/ggerganov/whisper.cpp#opencl-gpu-support-via-clblast)
- [OpenVINO Support](https://github.com/ggerganov/whisper.cpp#openvino-support)
- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h)
Supported platforms:
@ -35,9 +34,9 @@ Supported platforms:
- [x] [WebAssembly](examples/whisper.wasm)
- [x] Windows ([MSVC](https://github.com/ggerganov/whisper.cpp/blob/master/.github/workflows/build.yml#L117-L144) and [MinGW](https://github.com/ggerganov/whisper.cpp/issues/168)]
- [x] [Raspberry Pi](https://github.com/ggerganov/whisper.cpp/discussions/166)
- [x] [Docker](https://github.com/ggerganov/whisper.cpp/pkgs/container/whisper.cpp)
- [x] [docker](https://github.com/ggerganov/whisper.cpp/pkgs/container/whisper.cpp)
The entire high-level implementation of the model is contained in [whisper.h](include/whisper.h) and [whisper.cpp](src/whisper.cpp).
The entire high-level implementation of the model is contained in [whisper.h](whisper.h) and [whisper.cpp](whisper.cpp).
The rest of the code is part of the [`ggml`](https://github.com/ggerganov/ggml) machine learning library.
Having such a lightweight implementation of the model allows to easily integrate it in different platforms and applications.
@ -53,6 +52,18 @@ On Apple Silicon, the inference runs fully on the GPU via Metal:
https://github.com/ggerganov/whisper.cpp/assets/1991296/c82e8f86-60dc-49f2-b048-d2fdbd6b5225
Or you can even run it straight in the browser: [talk.wasm](examples/talk.wasm)
## Implementation details
- The core tensor operations are implemented in C ([ggml.h](ggml.h) / [ggml.c](ggml.c))
- The transformer model and the high-level C-style API are implemented in C++ ([whisper.h](whisper.h) / [whisper.cpp](whisper.cpp))
- Sample usage is demonstrated in [main.cpp](examples/main)
- Sample real-time audio transcription from the microphone is demonstrated in [stream.cpp](examples/stream)
- Various other examples are available in the [examples](examples) folder
The tensor operators are optimized heavily for Apple silicon CPUs. Depending on the computation size, Arm Neon SIMD intrinsics or CBLAS Accelerate framework routines are used. The latter are especially effective for bigger sizes since the Accelerate framework utilizes the special-purpose AMX coprocessor available in modern Apple products.
## Quick start
First clone the repository:
@ -61,38 +72,140 @@ First clone the repository:
git clone https://github.com/ggerganov/whisper.cpp.git
```
Navigate into the directory:
```
cd whisper.cpp
```
Then, download one of the Whisper [models](models/README.md) converted in [`ggml` format](#ggml-format). For example:
```bash
sh ./models/download-ggml-model.sh base.en
bash ./models/download-ggml-model.sh base.en
```
Now build the [whisper-cli](examples/cli) example and transcribe an audio file like this:
Now build the [main](examples/main) example and transcribe an audio file like this:
```bash
# build the project
cmake -B build
cmake --build build --config Release
# build the main example
make
# transcribe an audio file
./build/bin/whisper-cli -f samples/jfk.wav
./main -f samples/jfk.wav
```
---
For a quick demo, simply run `make base.en`.
For a quick demo, simply run `make base.en`:
```text
$ make base.en
cc -I. -O3 -std=c11 -pthread -DGGML_USE_ACCELERATE -c ggml.c -o ggml.o
c++ -I. -I./examples -O3 -std=c++11 -pthread -c whisper.cpp -o whisper.o
c++ -I. -I./examples -O3 -std=c++11 -pthread examples/main/main.cpp whisper.o ggml.o -o main -framework Accelerate
./main -h
usage: ./main [options] file0.wav file1.wav ...
options:
-h, --help [default] show this help message and exit
-t N, --threads N [4 ] number of threads to use during computation
-p N, --processors N [1 ] number of processors to use during computation
-ot N, --offset-t N [0 ] time offset in milliseconds
-on N, --offset-n N [0 ] segment index offset
-d N, --duration N [0 ] duration of audio to process in milliseconds
-mc N, --max-context N [-1 ] maximum number of text context tokens to store
-ml N, --max-len N [0 ] maximum segment length in characters
-sow, --split-on-word [false ] split on word rather than on token
-bo N, --best-of N [5 ] number of best candidates to keep
-bs N, --beam-size N [5 ] beam size for beam search
-wt N, --word-thold N [0.01 ] word timestamp probability threshold
-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail
-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail
-debug, --debug-mode [false ] enable debug mode (eg. dump log_mel)
-tr, --translate [false ] translate from source language to english
-di, --diarize [false ] stereo audio diarization
-tdrz, --tinydiarize [false ] enable tinydiarize (requires a tdrz model)
-nf, --no-fallback [false ] do not use temperature fallback while decoding
-otxt, --output-txt [false ] output result in a text file
-ovtt, --output-vtt [false ] output result in a vtt file
-osrt, --output-srt [false ] output result in a srt file
-olrc, --output-lrc [false ] output result in a lrc file
-owts, --output-words [false ] output script for generating karaoke video
-fp, --font-path [/System/Library/Fonts/Supplemental/Courier New Bold.ttf] path to a monospace font for karaoke video
-ocsv, --output-csv [false ] output result in a CSV file
-oj, --output-json [false ] output result in a JSON file
-ojf, --output-json-full [false ] include more information in the JSON file
-of FNAME, --output-file FNAME [ ] output file path (without file extension)
-ps, --print-special [false ] print special tokens
-pc, --print-colors [false ] print colors
-pp, --print-progress [false ] print progress
-nt, --no-timestamps [false ] do not print timestamps
-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect)
-dl, --detect-language [false ] exit after automatically detecting language
--prompt PROMPT [ ] initial prompt
-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
-f FNAME, --file FNAME [ ] input WAV file path
-oved D, --ov-e-device DNAME [CPU ] the OpenVINO device used for encode inference
-ls, --log-score [false ] log best decoder scores of tokens
-ng, --no-gpu [false ] disable GPU
bash ./models/download-ggml-model.sh base.en
Downloading ggml model base.en ...
ggml-base.en.bin 100%[========================>] 141.11M 6.34MB/s in 24s
Done! Model 'base.en' saved in 'models/ggml-base.en.bin'
You can now use it like this:
$ ./main -m models/ggml-base.en.bin -f samples/jfk.wav
===============================================
Running base.en on all samples in ./samples ...
===============================================
----------------------------------------------
[+] Running base.en on samples/jfk.wav ... (run 'ffplay samples/jfk.wav' to listen)
----------------------------------------------
whisper_init_from_file: loading model from 'models/ggml-base.en.bin'
whisper_model_load: loading model
whisper_model_load: n_vocab = 51864
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 512
whisper_model_load: n_audio_head = 8
whisper_model_load: n_audio_layer = 6
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 512
whisper_model_load: n_text_head = 8
whisper_model_load: n_text_layer = 6
whisper_model_load: n_mels = 80
whisper_model_load: f16 = 1
whisper_model_load: type = 2
whisper_model_load: mem required = 215.00 MB (+ 6.00 MB per decoder)
whisper_model_load: kv self size = 5.25 MB
whisper_model_load: kv cross size = 17.58 MB
whisper_model_load: adding 1607 extra tokens
whisper_model_load: model ctx = 140.60 MB
whisper_model_load: model size = 140.54 MB
system_info: n_threads = 4 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | VSX = 0 |
main: processing 'samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
[00:00:00.000 --> 00:00:11.000] And so my fellow Americans, ask not what your country can do for you, ask what you can do for your country.
whisper_print_timings: fallbacks = 0 p / 0 h
whisper_print_timings: load time = 113.81 ms
whisper_print_timings: mel time = 15.40 ms
whisper_print_timings: sample time = 11.58 ms / 27 runs ( 0.43 ms per run)
whisper_print_timings: encode time = 266.60 ms / 1 runs ( 266.60 ms per run)
whisper_print_timings: decode time = 66.11 ms / 27 runs ( 2.45 ms per run)
whisper_print_timings: total time = 476.31 ms
```
The command downloads the `base.en` model converted to custom `ggml` format and runs the inference on all `.wav` samples in the folder `samples`.
For detailed usage instructions, run: `./build/bin/whisper-cli -h`
For detailed usage instructions, run: `./main -h`
Note that the [whisper-cli](examples/cli) example currently runs only with 16-bit WAV files, so make sure to convert your input before running the tool.
Note that the [main](examples/main) example currently runs only with 16-bit WAV files, so make sure to convert your input before running the tool.
For example, you can use `ffmpeg` like this:
```bash
@ -104,7 +217,7 @@ ffmpeg -i input.mp3 -ar 16000 -ac 1 -c:a pcm_s16le output.wav
If you want some extra audio samples to play with, simply run:
```
make -j samples
make samples
```
This will download a few more audio files from Wikipedia and convert them to 16-bit WAV format via `ffmpeg`.
@ -112,18 +225,17 @@ This will download a few more audio files from Wikipedia and convert them to 16-
You can download and run the other models as follows:
```
make -j tiny.en
make -j tiny
make -j base.en
make -j base
make -j small.en
make -j small
make -j medium.en
make -j medium
make -j large-v1
make -j large-v2
make -j large-v3
make -j large-v3-turbo
make tiny.en
make tiny
make base.en
make base
make small.en
make small
make medium.en
make medium
make large-v1
make large-v2
make large-v3
```
## Memory usage
@ -145,12 +257,11 @@ Here are the steps for creating and using a quantized model:
```bash
# quantize a model with Q5_0 method
cmake -B build
cmake --build build --config Release
./build/bin/quantize models/ggml-base.en.bin models/ggml-base.en-q5_0.bin q5_0
make quantize
./quantize models/ggml-base.en.bin models/ggml-base.en-q5_0.bin q5_0
# run the examples as usual, specifying the quantized model file
./build/bin/whisper-cli -m models/ggml-base.en-q5_0.bin ./samples/gb0.wav
./main -m models/ggml-base.en-q5_0.bin ./samples/gb0.wav
```
## Core ML support
@ -184,6 +295,10 @@ speed-up - more than x3 faster compared with CPU-only execution. Here are the in
- Build `whisper.cpp` with Core ML support:
```bash
# using Makefile
make clean
WHISPER_COREML=1 make -j
# using CMake
cmake -B build -DWHISPER_COREML=1
cmake --build build -j --config Release
@ -192,7 +307,7 @@ speed-up - more than x3 faster compared with CPU-only execution. Here are the in
- Run the examples as usual. For example:
```text
$ ./build/bin/whisper-cli -m models/ggml-base.en.bin -f samples/jfk.wav
$ ./main -m models/ggml-base.en.bin -f samples/jfk.wav
...
@ -276,7 +391,7 @@ This can result in significant speedup in encoder performance. Here are the inst
- Run the examples as usual. For example:
```text
$ ./build/bin/whisper-cli -m models/ggml-base.en.bin -f samples/jfk.wav
$ ./main -m models/ggml-base.en.bin -f samples/jfk.wav
...
@ -293,7 +408,7 @@ This can result in significant speedup in encoder performance. Here are the inst
The first time run on an OpenVINO device is slow, since the OpenVINO framework will compile the IR (Intermediate Representation) model to a device-specific 'blob'. This device-specific blob will get
cached for the next run.
For more information about the OpenVINO implementation please refer to PR [#1037](https://github.com/ggerganov/whisper.cpp/pull/1037).
For more information about the Core ML implementation please refer to PR [#1037](https://github.com/ggerganov/whisper.cpp/pull/1037).
## NVIDIA GPU support
@ -303,19 +418,31 @@ First, make sure you have installed `cuda`: https://developer.nvidia.com/cuda-do
Now build `whisper.cpp` with CUDA support:
```
cmake -B build -DGGML_CUDA=1
make clean
WHISPER_CUDA=1 make -j
```
## OpenCL GPU support via CLBlast
For cards and integrated GPUs that support OpenCL, the Encoder processing can be largely offloaded to the GPU through CLBlast. This is especially useful for users with AMD APUs or low end devices for up to ~2x speedup.
First, make sure you have installed `CLBlast` for your OS or Distribution: https://github.com/CNugteren/CLBlast
Now build `whisper.cpp` with CLBlast support:
```
Makefile:
cd whisper.cpp
make clean
WHISPER_CLBLAST=1 make -j
CMake:
cd whisper.cpp
cmake -B build -DWHISPER_CLBLAST=ON
cmake --build build -j --config Release
```
## Vulkan GPU support
Cross-vendor solution which allows you to accelerate workload on your GPU.
First, make sure your graphics card driver provides support for Vulkan API.
Now build `whisper.cpp` with Vulkan support:
```
cmake -B build -DGGML_VULKAN=1
cmake --build build -j --config Release
```
Run all the examples as usual.
## BLAS CPU support via OpenBLAS
@ -325,40 +452,56 @@ First, make sure you have installed `openblas`: https://www.openblas.net/
Now build `whisper.cpp` with OpenBLAS support:
```
cmake -B build -DGGML_BLAS=1
cmake --build build -j --config Release
make clean
WHISPER_OPENBLAS=1 make -j
```
## Ascend NPU support
## BLAS CPU support via Intel MKL
Ascend NPU provides inference acceleration via [`CANN`](https://www.hiascend.com/en/software/cann) and AI cores.
Encoder processing can be accelerated on the CPU via the BLAS compatible interface of Intel's Math Kernel Library.
First, make sure you have installed Intel's MKL runtime and development packages: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-download.html
First, check if your Ascend NPU device is supported:
**Verified devices**
| Ascend NPU | Status |
|:-----------------------------:|:-------:|
| Atlas 300T A2 | Support |
Then, make sure you have installed [`CANN toolkit`](https://www.hiascend.com/en/software/cann/community) . The lasted version of CANN is recommanded.
Now build `whisper.cpp` with CANN support:
Now build `whisper.cpp` with Intel MKL BLAS support:
```
cmake -B build -DGGML_CANN=1
cmake --build build -j --config Release
source /opt/intel/oneapi/setvars.sh
mkdir build
cd build
cmake -DWHISPER_MKL=ON ..
WHISPER_MKL=1 make -j
```
Run the inference examples as usual, for example:
## Docker
### Prerequisites
- Docker must be installed and running on your system.
- Create a folder to store big models & intermediate files (ex. /whisper/models)
### Images
We have two Docker images available for this project:
1. `ghcr.io/ggerganov/whisper.cpp:main`: This image includes the main executable file as well as `curl` and `ffmpeg`. (platforms: `linux/amd64`, `linux/arm64`)
2. `ghcr.io/ggerganov/whisper.cpp:main-cuda`: Same as `main` but compiled with CUDA support. (platforms: `linux/amd64`)
### Usage
```shell
# download model and persist it in a local folder
docker run -it --rm \
-v path/to/models:/models \
whisper.cpp:main "./models/download-ggml-model.sh base /models"
# transcribe an audio file
docker run -it --rm \
-v path/to/models:/models \
-v path/to/audios:/audios \
whisper.cpp:main "./main -m /models/ggml-base.bin -f /audios/jfk.wav"
# transcribe an audio file in samples folder
docker run -it --rm \
-v path/to/models:/models \
whisper.cpp:main "./main -m /models/ggml-base.bin -f ./samples/jfk.wav"
```
./build/bin/whisper-cli -f samples/jfk.wav -m models/ggml-base.en.bin -t 8
```
*Notes:*
- If you have trouble with Ascend NPU device, please create a issue with **[CANN]** prefix/tag.
- If you run successfully with your Ascend NPU device, please help update the table `Verified devices`.
## Installing with Conan
@ -374,6 +517,89 @@ For detailed instructions on how to use Conan, please refer to the [Conan docume
- Inference only
## Another example
Here is another example of transcribing a [3:24 min speech](https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg)
in about half a minute on a MacBook M1 Pro, using `medium.en` model:
<details>
<summary>Expand to see the result</summary>
```text
$ ./main -m models/ggml-medium.en.bin -f samples/gb1.wav -t 8
whisper_init_from_file: loading model from 'models/ggml-medium.en.bin'
whisper_model_load: loading model
whisper_model_load: n_vocab = 51864
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 1024
whisper_model_load: n_audio_head = 16
whisper_model_load: n_audio_layer = 24
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 1024
whisper_model_load: n_text_head = 16
whisper_model_load: n_text_layer = 24
whisper_model_load: n_mels = 80
whisper_model_load: f16 = 1
whisper_model_load: type = 4
whisper_model_load: mem required = 1720.00 MB (+ 43.00 MB per decoder)
whisper_model_load: kv self size = 42.00 MB
whisper_model_load: kv cross size = 140.62 MB
whisper_model_load: adding 1607 extra tokens
whisper_model_load: model ctx = 1462.35 MB
whisper_model_load: model size = 1462.12 MB
system_info: n_threads = 8 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | VSX = 0 |
main: processing 'samples/gb1.wav' (3179750 samples, 198.7 sec), 8 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
[00:00:00.000 --> 00:00:08.000] My fellow Americans, this day has brought terrible news and great sadness to our country.
[00:00:08.000 --> 00:00:17.000] At nine o'clock this morning, Mission Control in Houston lost contact with our Space Shuttle Columbia.
[00:00:17.000 --> 00:00:23.000] A short time later, debris was seen falling from the skies above Texas.
[00:00:23.000 --> 00:00:29.000] The Columbia's lost. There are no survivors.
[00:00:29.000 --> 00:00:32.000] On board was a crew of seven.
[00:00:32.000 --> 00:00:39.000] Colonel Rick Husband, Lieutenant Colonel Michael Anderson, Commander Laurel Clark,
[00:00:39.000 --> 00:00:48.000] Captain David Brown, Commander William McCool, Dr. Kultna Shavla, and Ilan Ramon,
[00:00:48.000 --> 00:00:52.000] a colonel in the Israeli Air Force.
[00:00:52.000 --> 00:00:58.000] These men and women assumed great risk in the service to all humanity.
[00:00:58.000 --> 00:01:03.000] In an age when space flight has come to seem almost routine,
[00:01:03.000 --> 00:01:07.000] it is easy to overlook the dangers of travel by rocket
[00:01:07.000 --> 00:01:12.000] and the difficulties of navigating the fierce outer atmosphere of the Earth.
[00:01:12.000 --> 00:01:18.000] These astronauts knew the dangers, and they faced them willingly,
[00:01:18.000 --> 00:01:23.000] knowing they had a high and noble purpose in life.
[00:01:23.000 --> 00:01:31.000] Because of their courage and daring and idealism, we will miss them all the more.
[00:01:31.000 --> 00:01:36.000] All Americans today are thinking as well of the families of these men and women
[00:01:36.000 --> 00:01:40.000] who have been given this sudden shock and grief.
[00:01:40.000 --> 00:01:45.000] You're not alone. Our entire nation grieves with you,
[00:01:45.000 --> 00:01:52.000] and those you love will always have the respect and gratitude of this country.
[00:01:52.000 --> 00:01:56.000] The cause in which they died will continue.
[00:01:56.000 --> 00:02:04.000] Mankind is led into the darkness beyond our world by the inspiration of discovery
[00:02:04.000 --> 00:02:11.000] and the longing to understand. Our journey into space will go on.
[00:02:11.000 --> 00:02:16.000] In the skies today, we saw destruction and tragedy.
[00:02:16.000 --> 00:02:22.000] Yet farther than we can see, there is comfort and hope.
[00:02:22.000 --> 00:02:29.000] In the words of the prophet Isaiah, "Lift your eyes and look to the heavens
[00:02:29.000 --> 00:02:35.000] who created all these. He who brings out the starry hosts one by one
[00:02:35.000 --> 00:02:39.000] and calls them each by name."
[00:02:39.000 --> 00:02:46.000] Because of His great power and mighty strength, not one of them is missing.
[00:02:46.000 --> 00:02:55.000] The same Creator who names the stars also knows the names of the seven souls we mourn today.
[00:02:55.000 --> 00:03:01.000] The crew of the shuttle Columbia did not return safely to earth,
[00:03:01.000 --> 00:03:05.000] yet we can pray that all are safely home.
[00:03:05.000 --> 00:03:13.000] May God bless the grieving families, and may God continue to bless America.
[00:03:13.000 --> 00:03:19.000] [Silence]
whisper_print_timings: fallbacks = 1 p / 0 h
whisper_print_timings: load time = 569.03 ms
whisper_print_timings: mel time = 146.85 ms
whisper_print_timings: sample time = 238.66 ms / 553 runs ( 0.43 ms per run)
whisper_print_timings: encode time = 18665.10 ms / 9 runs ( 2073.90 ms per run)
whisper_print_timings: decode time = 13090.93 ms / 549 runs ( 23.85 ms per run)
whisper_print_timings: total time = 32733.52 ms
```
</details>
## Real-time audio input example
This is a naive example of performing real-time inference on audio from your microphone.
@ -381,9 +607,8 @@ The [stream](examples/stream) tool samples the audio every half a second and run
More info is available in [issue #10](https://github.com/ggerganov/whisper.cpp/issues/10).
```bash
cmake -B build -DWHISPER_SDL2=ON
cmake --build build --config Release
./build/bin/whisper-stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000
make stream
./stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000
```
https://user-images.githubusercontent.com/1991296/194935793-76afede7-cfa8-48d8-a80f-28ba83be7d09.mp4
@ -394,7 +619,7 @@ Adding the `--print-colors` argument will print the transcribed text using an ex
to highlight words with high or low confidence:
```bash
./build/bin/whisper-cli -m models/ggml-base.en.bin -f samples/gb0.wav --print-colors
./main -m models/ggml-base.en.bin -f samples/gb0.wav --print-colors
```
<img width="965" alt="image" src="https://user-images.githubusercontent.com/1991296/197356445-311c8643-9397-4e5e-b46e-0b4b4daa2530.png">
@ -404,7 +629,7 @@ to highlight words with high or low confidence:
For example, to limit the line length to a maximum of 16 characters, simply add `-ml 16`:
```text
$ ./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 16
$ ./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 16
whisper_model_load: loading model from './models/ggml-base.en.bin'
...
@ -428,7 +653,7 @@ main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 pr
The `--max-len` argument can be used to obtain word-level timestamps. Simply use `-ml 1`:
```text
$ ./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 1
$ ./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 1
whisper_model_load: loading model from './models/ggml-base.en.bin'
...
@ -475,7 +700,7 @@ Sample usage:
./models/download-ggml-model.sh small.en-tdrz
# run as usual, adding the "-tdrz" command-line argument
./build/bin/whisper-cli -f ./samples/a13.wav -m ./models/ggml-small.en-tdrz.bin -tdrz
./main -f ./samples/a13.wav -m ./models/ggml-small.en-tdrz.bin -tdrz
...
main: processing './samples/a13.wav' (480000 samples, 30.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, tdrz = 1, timestamps = 1 ...
...
@ -492,14 +717,14 @@ main: processing './samples/a13.wav' (480000 samples, 30.0 sec), 4 threads, 1 pr
## Karaoke-style movie generation (experimental)
The [whisper-cli](examples/cli) example provides support for output of karaoke-style movies, where the
The [main](examples/main) example provides support for output of karaoke-style movies, where the
currently pronounced word is highlighted. Use the `-wts` argument and run the generated bash script.
This requires to have `ffmpeg` installed.
Here are a few _"typical"_ examples:
```bash
./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -owts
./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -owts
source ./samples/jfk.wav.wts
ffplay ./samples/jfk.wav.mp4
```
@ -509,7 +734,7 @@ https://user-images.githubusercontent.com/1991296/199337465-dbee4b5e-9aeb-48a3-b
---
```bash
./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/mm0.wav -owts
./main -m ./models/ggml-base.en.bin -f ./samples/mm0.wav -owts
source ./samples/mm0.wav.wts
ffplay ./samples/mm0.wav.mp4
```
@ -519,7 +744,7 @@ https://user-images.githubusercontent.com/1991296/199337504-cc8fd233-0cb7-4920-9
---
```bash
./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/gb0.wav -owts
./main -m ./models/ggml-base.en.bin -f ./samples/gb0.wav -owts
source ./samples/gb0.wav.wts
ffplay ./samples/gb0.wav.mp4
```
@ -544,12 +769,12 @@ https://user-images.githubusercontent.com/1991296/223206245-2d36d903-cf8e-4f09-8
## Benchmarks
In order to have an objective comparison of the performance of the inference across different system configurations,
use the [whisper-bench](examples/bench) tool. The tool simply runs the Encoder part of the model and prints how much time it
use the [bench](examples/bench) tool. The tool simply runs the Encoder part of the model and prints how much time it
took to execute it. The results are summarized in the following Github issue:
[Benchmark results](https://github.com/ggerganov/whisper.cpp/issues/89)
Additionally a script to run whisper.cpp with different models and audio files is provided [bench.py](scripts/bench.py).
Additionally a script to run whisper.cpp with different models and audio files is provided [bench.py](bench.py).
You can run it with the following command, by default it will run against any standard model in the models folder.
@ -596,7 +821,6 @@ For more details, see the conversion script [models/convert-pt-to-ggml.py](model
- [stlukey/whispercpp.py](https://github.com/stlukey/whispercpp.py) (Cython)
- [AIWintermuteAI/whispercpp](https://github.com/AIWintermuteAI/whispercpp) (Updated fork of aarnphm/whispercpp)
- [aarnphm/whispercpp](https://github.com/aarnphm/whispercpp) (Pybind11)
- [abdeladim-s/pywhispercpp](https://github.com/abdeladim-s/pywhispercpp) (Pybind11)
- [x] R: [bnosac/audio.whisper](https://github.com/bnosac/audio.whisper)
- [x] Unity: [macoron/whisper.unity](https://github.com/Macoron/whisper.unity)
@ -607,12 +831,13 @@ Some of the examples are even ported to run in the browser using WebAssembly. Ch
| Example | Web | Description |
| --------------------------------------------------- | ------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
| [whisper-cli](examples/cli) | [whisper.wasm](examples/whisper.wasm) | Tool for translating and transcribing audio using Whisper |
| [whisper-bench](examples/bench) | [bench.wasm](examples/bench.wasm) | Benchmark the performance of Whisper on your machine |
| [whisper-stream](examples/stream) | [stream.wasm](examples/stream.wasm) | Real-time transcription of raw microphone capture |
| [whisper-command](examples/command) | [command.wasm](examples/command.wasm) | Basic voice assistant example for receiving voice commands from the mic |
| [whisper-server](examples/server) | | HTTP transcription server with OAI-like API |
| [whisper-talk-llama](examples/talk-llama) | | Talk with a LLaMA bot |
| [main](examples/main) | [whisper.wasm](examples/whisper.wasm) | Tool for translating and transcribing audio using Whisper |
| [bench](examples/bench) | [bench.wasm](examples/bench.wasm) | Benchmark the performance of Whisper on your machine |
| [stream](examples/stream) | [stream.wasm](examples/stream.wasm) | Real-time transcription of raw microphone capture |
| [command](examples/command) | [command.wasm](examples/command.wasm) | Basic voice assistant example for receiving voice commands from the mic |
| [wchess](examples/wchess) | [wchess.wasm](examples/wchess) | Voice-controlled chess |
| [talk](examples/talk) | [talk.wasm](examples/talk.wasm) | Talk with a GPT-2 bot |
| [talk-llama](examples/talk-llama) | | Talk with a LLaMA bot |
| [whisper.objc](examples/whisper.objc) | | iOS mobile application using whisper.cpp |
| [whisper.swiftui](examples/whisper.swiftui) | | SwiftUI iOS / macOS application using whisper.cpp |
| [whisper.android](examples/whisper.android) | | Android mobile application using whisper.cpp |
@ -620,7 +845,7 @@ Some of the examples are even ported to run in the browser using WebAssembly. Ch
| [generate-karaoke.sh](examples/generate-karaoke.sh) | | Helper script to easily [generate a karaoke video](https://youtu.be/uj7hVta4blM) of raw audio capture |
| [livestream.sh](examples/livestream.sh) | | [Livestream audio transcription](https://github.com/ggerganov/whisper.cpp/issues/185) |
| [yt-wsp.sh](examples/yt-wsp.sh) | | Download + transcribe and/or translate any VOD [(original)](https://gist.github.com/DaniruKun/96f763ec1a037cc92fe1a059b643b818) |
| [wchess](examples/wchess) | [wchess.wasm](examples/wchess) | Voice-controlled chess |
| [server](examples/server) | | HTTP transcription server with OAI-like API |
## [Discussions](https://github.com/ggerganov/whisper.cpp/discussions)

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@ -1,5 +0,0 @@
module whisper [system] {
header "whisper.h"
link "whisper"
export *
}

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@ -1,4 +0,0 @@
#pragma once
#include <whisper.h>

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@ -14,14 +14,9 @@ GGML_METAL_PATH_RESOURCES := $(abspath ../..)
BUILD_DIR := build
MODELS_DIR := models
EXAMPLES_DIR := $(wildcard examples/*)
INCLUDE_PATH := $(abspath ../../include):$(abspath ../../ggml/include)
INCLUDE_PATH := $(abspath ../..)
LIBRARY_PATH := $(abspath ../..)
ifeq ($(GGML_CUDA),1)
LIBRARY_PATH := $(LIBRARY_PATH):$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib/
BUILD_FLAGS := -ldflags "-extldflags '-lcudart -lcuda -lcublas'"
endif
ifeq ($(UNAME_S),Darwin)
EXT_LDFLAGS := -framework Foundation -framework Metal -framework MetalKit
endif

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@ -62,12 +62,6 @@ This will compile a static `libwhisper.a` in a `build` folder, download a model
make examples
```
To build using cuda support add `GGML_CUDA=1`:
```bash
GGML_CUDA=1 make examples
```
The examples are placed in the `build` directory. Once built, you can download all the models with the following command:
```bash

View File

@ -24,7 +24,7 @@ const (
var (
// The models which will be downloaded, if no model is specified as an argument
modelNames = []string{"ggml-tiny.en", "ggml-tiny", "ggml-base.en", "ggml-base", "ggml-small.en", "ggml-small", "ggml-medium.en", "ggml-medium", "ggml-large-v1", "ggml-large-v2", "ggml-large-v3", "large-v3-turbo"}
modelNames = []string{"ggml-tiny.en", "ggml-tiny", "ggml-base.en", "ggml-base", "ggml-small.en", "ggml-small", "ggml-medium.en", "ggml-medium", "ggml-large-v1", "ggml-large-v2", "ggml-large-v3"}
)
var (

View File

@ -1,10 +1,10 @@
module github.com/ggerganov/whisper.cpp/bindings/go
go 1.23
go 1.19
require (
github.com/go-audio/wav v1.1.0
github.com/stretchr/testify v1.9.0
github.com/stretchr/testify v1.8.1
)
require (

View File

@ -1,3 +1,4 @@
github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/go-audio/audio v1.0.0 h1:zS9vebldgbQqktK4H0lUqWrG8P0NxCJVqcj7ZpNnwd4=
@ -8,9 +9,15 @@ github.com/go-audio/wav v1.1.0 h1:jQgLtbqBzY7G+BM8fXF7AHUk1uHUviWS4X39d5rsL2g=
github.com/go-audio/wav v1.1.0/go.mod h1:mpe9qfwbScEbkd8uybLuIpTgHyrISw/OTuvjUW2iGtE=
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
github.com/stretchr/testify v1.9.0 h1:HtqpIVDClZ4nwg75+f6Lvsy/wHu+3BoSGCbBAcpTsTg=
github.com/stretchr/testify v1.9.0/go.mod h1:r2ic/lqez/lEtzL7wO/rwa5dbSLXVDPFyf8C91i36aY=
github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
github.com/stretchr/objx v0.4.0/go.mod h1:YvHI0jy2hoMjB+UWwv71VJQ9isScKT/TqJzVSSt89Yw=
github.com/stretchr/objx v0.5.0/go.mod h1:Yh+to48EsGEfYuaHDzXPcE3xhTkx73EhmCGUpEOglKo=
github.com/stretchr/testify v1.7.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
github.com/stretchr/testify v1.8.1 h1:w7B6lhMri9wdJUVmEZPGGhZzrYTPvgJArz7wNPgYKsk=
github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4=
gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405 h1:yhCVgyC4o1eVCa2tZl7eS0r+SDo693bJlVdllGtEeKM=
gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=

View File

@ -119,28 +119,6 @@ func (p *Params) SetAudioCtx(n int) {
p.audio_ctx = C.int(n)
}
func (p *Params) SetMaxContext(n int) {
p.n_max_text_ctx = C.int(n)
}
func (p *Params) SetBeamSize(n int) {
p.beam_search.beam_size = C.int(n)
}
func (p *Params) SetEntropyThold(t float32) {
p.entropy_thold = C.float(t)
}
func (p *Params) SetTemperature(t float32) {
p.temperature = C.float(t)
}
// Sets the fallback temperature incrementation
// Pass -1.0 to disable this feature
func (p *Params) SetTemperatureFallback(t float32) {
p.temperature_inc = C.float(t)
}
// Set initial prompt
func (p *Params) SetInitialPrompt(prompt string) {
p.initial_prompt = C.CString(prompt)
@ -171,10 +149,6 @@ func (p *Params) String() string {
str += fmt.Sprintf(" duration_ms=%d", p.duration_ms)
str += fmt.Sprintf(" audio_ctx=%d", p.audio_ctx)
str += fmt.Sprintf(" initial_prompt=%s", C.GoString(p.initial_prompt))
str += fmt.Sprintf(" entropy_thold=%f", p.entropy_thold)
str += fmt.Sprintf(" temperature=%f", p.temperature)
str += fmt.Sprintf(" temperature_inc=%f", p.temperature_inc)
str += fmt.Sprintf(" beam_size=%d", p.beam_search.beam_size)
if p.translate {
str += " translate"
}

View File

@ -125,32 +125,6 @@ func (context *context) SetAudioCtx(n uint) {
context.params.SetAudioCtx(int(n))
}
// Set maximum number of text context tokens to store
func (context *context) SetMaxContext(n int) {
context.params.SetMaxContext(n)
}
// Set Beam Size
func (context *context) SetBeamSize(n int) {
context.params.SetBeamSize(n)
}
// Set Entropy threshold
func (context *context) SetEntropyThold(t float32) {
context.params.SetEntropyThold(t)
}
// Set Temperature
func (context *context) SetTemperature(t float32) {
context.params.SetTemperature(t)
}
// Set the fallback temperature incrementation
// Pass -1.0 to disable this feature
func (context *context) SetTemperatureFallback(t float32) {
context.params.SetTemperatureFallback(t)
}
// Set initial prompt
func (context *context) SetInitialPrompt(prompt string) {
context.params.SetInitialPrompt(prompt)

View File

@ -4,90 +4,52 @@ import (
"os"
"testing"
"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
"github.com/go-audio/wav"
// Packages
whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
assert "github.com/stretchr/testify/assert"
)
func TestSetLanguage(t *testing.T) {
assert := assert.New(t)
const (
ModelPath = "../../models/ggml-tiny.bin"
SamplePath = "../../samples/jfk.wav"
)
func Test_Whisper_000(t *testing.T) {
assert := assert.New(t)
if _, err := os.Stat(ModelPath); os.IsNotExist(err) {
t.Skip("Skipping test, model not found:", ModelPath)
}
if _, err := os.Stat(SamplePath); os.IsNotExist(err) {
t.Skip("Skipping test, sample not found:", SamplePath)
}
// Load model
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
assert.NoError(model.Close())
t.Log("languages=", model.Languages())
}
func Test_Whisper_001(t *testing.T) {
assert := assert.New(t)
if _, err := os.Stat(ModelPath); os.IsNotExist(err) {
t.Skip("Skipping test, model not found:", ModelPath)
}
if _, err := os.Stat(SamplePath); os.IsNotExist(err) {
t.Skip("Skipping test, sample not found:", SamplePath)
}
// Load model
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
defer model.Close()
context, err := model.NewContext()
// Get context for decoding
ctx, err := model.NewContext()
assert.NoError(err)
assert.NotNil(ctx)
// This returns an error since
// the model 'models/ggml-small.en.bin'
// that is loaded is not multilingual
err = context.SetLanguage("en")
assert.Error(err)
}
func TestContextModelIsMultilingual(t *testing.T) {
assert := assert.New(t)
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
defer model.Close()
context, err := model.NewContext()
assert.NoError(err)
isMultilingual := context.IsMultilingual()
// This returns false since
// the model 'models/ggml-small.en.bin'
// that is loaded is not multilingual
assert.False(isMultilingual)
}
func TestLanguage(t *testing.T) {
assert := assert.New(t)
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
defer model.Close()
context, err := model.NewContext()
assert.NoError(err)
// This always returns en since
// the model 'models/ggml-small.en.bin'
// that is loaded is not multilingual
expectedLanguage := "en"
actualLanguage := context.Language()
assert.Equal(expectedLanguage, actualLanguage)
}
func TestProcess(t *testing.T) {
assert := assert.New(t)
fh, err := os.Open(SamplePath)
assert.NoError(err)
defer fh.Close()
// Decode the WAV file - load the full buffer
dec := wav.NewDecoder(fh)
buf, err := dec.FullPCMBuffer()
assert.NoError(err)
assert.Equal(uint16(1), dec.NumChans)
data := buf.AsFloat32Buffer().Data
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
defer model.Close()
context, err := model.NewContext()
assert.NoError(err)
err = context.Process(data, nil, nil)
assert.NoError(err)
}

View File

@ -38,22 +38,17 @@ type Context interface {
IsMultilingual() bool // Return true if the model is multilingual.
Language() string // Get language
SetOffset(time.Duration) // Set offset
SetDuration(time.Duration) // Set duration
SetThreads(uint) // Set number of threads to use
SetSplitOnWord(bool) // Set split on word flag
SetTokenThreshold(float32) // Set timestamp token probability threshold
SetTokenSumThreshold(float32) // Set timestamp token sum probability threshold
SetMaxSegmentLength(uint) // Set max segment length in characters
SetTokenTimestamps(bool) // Set token timestamps flag
SetMaxTokensPerSegment(uint) // Set max tokens per segment (0 = no limit)
SetAudioCtx(uint) // Set audio encoder context
SetMaxContext(n int) // Set maximum number of text context tokens to store
SetBeamSize(n int) // Set Beam Size
SetEntropyThold(t float32) // Set Entropy threshold
SetInitialPrompt(prompt string) // Set initial prompt
SetTemperature(t float32) // Set temperature
SetTemperatureFallback(t float32) // Set temperature incrementation
SetOffset(time.Duration) // Set offset
SetDuration(time.Duration) // Set duration
SetThreads(uint) // Set number of threads to use
SetSplitOnWord(bool) // Set split on word flag
SetTokenThreshold(float32) // Set timestamp token probability threshold
SetTokenSumThreshold(float32) // Set timestamp token sum probability threshold
SetMaxSegmentLength(uint) // Set max segment length in characters
SetTokenTimestamps(bool) // Set token timestamps flag
SetMaxTokensPerSegment(uint) // Set max tokens per segment (0 = no limit)
SetAudioCtx(uint) // Set audio encoder context
SetInitialPrompt(prompt string) // Set initial prompt
// Process mono audio data and return any errors.
// If defined, newly generated segments are passed to the

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@ -1,91 +0,0 @@
package whisper_test
import (
"testing"
"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
assert "github.com/stretchr/testify/assert"
)
func TestNew(t *testing.T) {
assert := assert.New(t)
t.Run("valid model path", func(t *testing.T) {
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
defer model.Close()
})
t.Run("invalid model path", func(t *testing.T) {
invalidModelPath := "invalid-model-path.bin"
model, err := whisper.New(invalidModelPath)
assert.Error(err)
assert.Nil(model)
})
}
func TestClose(t *testing.T) {
assert := assert.New(t)
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
err = model.Close()
assert.NoError(err)
}
func TestNewContext(t *testing.T) {
assert := assert.New(t)
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
defer model.Close()
context, err := model.NewContext()
assert.NoError(err)
assert.NotNil(context)
}
func TestIsMultilingual(t *testing.T) {
assert := assert.New(t)
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
defer model.Close()
isMultilingual := model.IsMultilingual()
// This returns false since
// the model 'models/ggml-small.en.bin'
// that is loaded is not multilingual
assert.False(isMultilingual)
}
func TestLanguages(t *testing.T) {
assert := assert.New(t)
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
defer model.Close()
expectedLanguages := []string{
"en", "zh", "de", "es", "ru", "ko", "fr", "ja", "pt", "tr", "pl",
"ca", "nl", "ar", "sv", "it", "id", "hi", "fi", "vi", "he", "uk",
"el", "ms", "cs", "ro", "da", "hu", "ta", "no", "th", "ur", "hr",
"bg", "lt", "la", "mi", "ml", "cy", "sk", "te", "fa", "lv", "bn",
"sr", "az", "sl", "kn", "et", "mk", "br", "eu", "is", "hy", "ne",
"mn", "bs", "kk", "sq", "sw", "gl", "mr", "pa", "si", "km", "sn",
"yo", "so", "af", "oc", "ka", "be", "tg", "sd", "gu", "am", "yi",
"lo", "uz", "fo", "ht", "ps", "tk", "nn", "mt", "sa", "lb", "my",
"bo", "tl", "mg", "as", "tt", "haw", "ln", "ha", "ba", "jw", "su",
}
actualLanguages := model.Languages()
assert.Equal(expectedLanguages, actualLanguages)
}

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@ -1,6 +0,0 @@
package whisper_test
const (
ModelPath = "../../models/ggml-small.en.bin"
SamplePath = "../../samples/jfk.wav"
)

View File

@ -9,7 +9,7 @@ import (
// CGO
/*
#cgo LDFLAGS: -lwhisper -lm -lstdc++ -fopenmp
#cgo LDFLAGS: -lwhisper -lm -lstdc++
#cgo darwin LDFLAGS: -framework Accelerate -framework Metal -framework Foundation -framework CoreGraphics
#include <whisper.h>
#include <stdlib.h>

1
bindings/ios Submodule

Submodule bindings/ios added at a2085436c2

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@ -67,5 +67,5 @@ copy /y ..\..\build\bin\Release\whisper.dll build\generated\resources\main\win32
## License
The license for the Java bindings is the same as the license for the rest of the whisper.cpp project, which is the MIT License. See the `LICENSE` file for more details.
The license for the Go bindings is the same as the license for the rest of the whisper.cpp project, which is the MIT License. See the `LICENSE` file for more details.

View File

@ -181,11 +181,11 @@ public class WhisperFullParams extends Structure {
}
/** Flag to suppress non-speech tokens. */
public CBool suppress_nst;
public CBool suppress_non_speech_tokens;
/** Flag to suppress non-speech tokens. */
public void suppressNonSpeechTokens(boolean enable) {
suppress_nst = enable ? CBool.TRUE : CBool.FALSE;
suppress_non_speech_tokens = enable ? CBool.TRUE : CBool.FALSE;
}
/** Initial decoding temperature. */
@ -315,7 +315,7 @@ public class WhisperFullParams extends Structure {
"print_special", "print_progress", "print_realtime", "print_timestamps", "token_timestamps",
"thold_pt", "thold_ptsum", "max_len", "split_on_word", "max_tokens", "audio_ctx",
"tdrz_enable", "suppress_regex", "initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
"suppress_blank", "suppress_nst", "temperature", "max_initial_ts", "length_penalty",
"suppress_blank", "suppress_non_speech_tokens", "temperature", "max_initial_ts", "length_penalty",
"temperature_inc", "entropy_thold", "logprob_thold", "no_speech_thold", "greedy", "beam_search",
"new_segment_callback", "new_segment_callback_user_data",
"progress_callback", "progress_callback_user_data",

View File

@ -1,6 +1,6 @@
{
"name": "whisper.cpp",
"version": "1.7.4",
"version": "1.6.2",
"description": "Whisper speech recognition",
"main": "whisper.js",
"scripts": {

View File

@ -1,3 +0,0 @@
LICENSE
pkg/
lib/whisper.*

View File

@ -1,243 +0,0 @@
whispercpp
==========
![whisper.cpp](https://user-images.githubusercontent.com/1991296/235238348-05d0f6a4-da44-4900-a1de-d0707e75b763.jpeg)
Ruby bindings for [whisper.cpp][], an interface of automatic speech recognition model.
Installation
------------
Install the gem and add to the application's Gemfile by executing:
$ bundle add whispercpp
If bundler is not being used to manage dependencies, install the gem by executing:
$ gem install whispercpp
Usage
-----
```ruby
require "whisper"
whisper = Whisper::Context.new("base")
params = Whisper::Params.new
params.language = "en"
params.offset = 10_000
params.duration = 60_000
params.max_text_tokens = 300
params.translate = true
params.print_timestamps = false
params.initial_prompt = "Initial prompt here."
whisper.transcribe("path/to/audio.wav", params) do |whole_text|
puts whole_text
end
```
### Preparing model ###
Some models are prepared up-front:
```ruby
base_en = Whisper::Model.pre_converted_models["base.en"]
whisper = Whisper::Context.new(base_en)
```
At first time you use a model, it is downloaded automatically. After that, downloaded cached file is used. To clear cache, call `#clear_cache`:
```ruby
Whisper::Model.pre_converted_models["base"].clear_cache
```
You also can use shorthand for pre-converted models:
```ruby
whisper = Whisper::Context.new("base.en")
```
You can see the list of prepared model names by `Whisper::Model.pre_converted_models.keys`:
```ruby
puts Whisper::Model.pre_converted_models.keys
# tiny
# tiny.en
# tiny-q5_1
# tiny.en-q5_1
# tiny-q8_0
# base
# base.en
# base-q5_1
# base.en-q5_1
# base-q8_0
# :
# :
```
You can also use local model files you prepared:
```ruby
whisper = Whisper::Context.new("path/to/your/model.bin")
```
Or, you can download model files:
```ruby
whisper = Whisper::Context.new("https://example.net/uri/of/your/model.bin")
# Or
whisper = Whisper::Context.new(URI("https://example.net/uri/of/your/model.bin"))
```
See [models][] page for details.
### Preparing audio file ###
Currently, whisper.cpp accepts only 16-bit WAV files.
API
---
### Segments ###
Once `Whisper::Context#transcribe` called, you can retrieve segments by `#each_segment`:
```ruby
def format_time(time_ms)
sec, decimal_part = time_ms.divmod(1000)
min, sec = sec.divmod(60)
hour, min = min.divmod(60)
"%02d:%02d:%02d.%03d" % [hour, min, sec, decimal_part]
end
whisper.transcribe("path/to/audio.wav", params)
whisper.each_segment.with_index do |segment, index|
line = "[%{nth}: %{st} --> %{ed}] %{text}" % {
nth: index + 1,
st: format_time(segment.start_time),
ed: format_time(segment.end_time),
text: segment.text
}
line << " (speaker turned)" if segment.speaker_next_turn?
puts line
end
```
You can also add hook to params called on new segment:
```ruby
# Add hook before calling #transcribe
params.on_new_segment do |segment|
line = "[%{st} --> %{ed}] %{text}" % {
st: format_time(segment.start_time),
ed: format_time(segment.end_time),
text: segment.text
}
line << " (speaker turned)" if segment.speaker_next_turn?
puts line
end
whisper.transcribe("path/to/audio.wav", params)
```
### Models ###
You can see model information:
```ruby
whisper = Whisper::Context.new("base")
model = whisper.model
model.n_vocab # => 51864
model.n_audio_ctx # => 1500
model.n_audio_state # => 512
model.n_audio_head # => 8
model.n_audio_layer # => 6
model.n_text_ctx # => 448
model.n_text_state # => 512
model.n_text_head # => 8
model.n_text_layer # => 6
model.n_mels # => 80
model.ftype # => 1
model.type # => "base"
```
### Logging ###
You can set log callback:
```ruby
prefix = "[MyApp] "
log_callback = ->(level, buffer, user_data) {
case level
when Whisper::LOG_LEVEL_NONE
puts "#{user_data}none: #{buffer}"
when Whisper::LOG_LEVEL_INFO
puts "#{user_data}info: #{buffer}"
when Whisper::LOG_LEVEL_WARN
puts "#{user_data}warn: #{buffer}"
when Whisper::LOG_LEVEL_ERROR
puts "#{user_data}error: #{buffer}"
when Whisper::LOG_LEVEL_DEBUG
puts "#{user_data}debug: #{buffer}"
when Whisper::LOG_LEVEL_CONT
puts "#{user_data}same to previous: #{buffer}"
end
}
Whisper.log_set log_callback, prefix
```
Using this feature, you are also able to suppress log:
```ruby
Whisper.log_set ->(level, buffer, user_data) {
# do nothing
}, nil
Whisper::Context.new("base")
```
### Low-level API to transcribe ###
You can also call `Whisper::Context#full` and `#full_parallel` with a Ruby array as samples. Although `#transcribe` with audio file path is recommended because it extracts PCM samples in C++ and is fast, `#full` and `#full_parallel` give you flexibility.
```ruby
require "whisper"
require "wavefile"
reader = WaveFile::Reader.new("path/to/audio.wav", WaveFile::Format.new(:mono, :float, 16000))
samples = reader.enum_for(:each_buffer).map(&:samples).flatten
whisper = Whisper::Context.new("base")
whisper.full(Whisper::Params.new, samples)
whisper.each_segment do |segment|
puts segment.text
end
```
The second argument `samples` may be an array, an object with `length` and `each` method, or a MemoryView. If you can prepare audio data as C array and export it as a MemoryView, whispercpp accepts and works with it with zero copy.
Development
-----------
% git clone https://github.com/ggerganov/whisper.cpp.git
% cd whisper.cpp/bindings/ruby
% rake test
First call of `rake test` builds an extension and downloads a model for testing. After that, you add tests in `tests` directory and modify `ext/ruby_whisper.cpp`.
If something seems wrong on build, running `rake clean` solves some cases.
License
-------
The same to [whisper.cpp][].
[whisper.cpp]: https://github.com/ggerganov/whisper.cpp
[models]: https://github.com/ggerganov/whisper.cpp/tree/master/models

View File

@ -1,64 +1,12 @@
require 'rake/clean'
require "bundler/gem_tasks"
require "rake/testtask"
require_relative "extsources"
require 'rubygems/package'
SOURCES = FileList[]
EXTSOURCES.each do |src|
basename = src.pathmap("%f")
dest = basename == "LICENSE" ? basename : src.pathmap("%{../..,ext}p")
dir = dest.pathmap("%d")
file src
directory dir
file dest => [src, dir] do |t|
cp t.source, t.name
end
SOURCES.include dest
desc 'Build gem'
task :package do
spec_source = File.read File.join(File.dirname(__FILE__),'whispercpp.gemspec')
spec = nil
# see: http://gist.github.com/16215
Thread.new { spec = eval("#{spec_source}") }.join
spec.validate
Gem::Package.build(spec)
end
CLEAN.include SOURCES
CLEAN.include FileList["ext/*.o", "ext/*.metal", "ext/whisper.{so,bundle,dll}"]
task build: ["ext/Makefile", "ext/ruby_whisper.h", "ext/ruby_whisper.cpp", "whispercpp.gemspec"]
directory "pkg"
CLOBBER.include "pkg"
LIB_NAME = "whisper".ext(RbConfig::CONFIG["DLEXT"])
SO_FILE = File.join("ext", LIB_NAME)
LIB_FILE = File.join("lib", LIB_NAME)
file "ext/Makefile" => ["ext/extconf.rb", "ext/ruby_whisper.h", "ext/ruby_whisper.cpp"] + SOURCES do |t|
Dir.chdir "ext" do
ruby "extconf.rb"
end
end
file SO_FILE => "ext/Makefile" do |t|
Dir.chdir "ext" do
sh "make"
end
end
CLEAN.include SO_FILE
directory "lib"
file LIB_FILE => [SO_FILE, "lib"] do |t|
copy t.source, t.name
end
CLEAN.include LIB_FILE
Rake::TestTask.new do |t|
t.test_files = FileList["tests/test_*.rb"]
end
TEST_MEMORY_VIEW = "tests/jfk_reader/jfk_reader.#{RbConfig::CONFIG['DLEXT']}"
file TEST_MEMORY_VIEW => "tests/jfk_reader/jfk_reader.c" do |t|
Dir.chdir "tests/jfk_reader" do
ruby "extconf.rb"
sh "make"
end
end
CLEAN.include "tests/jfk_reader/jfk_reader.{o,#{RbConfig::CONFIG['DLEXT']}}"
task test: [LIB_FILE, TEST_MEMORY_VIEW]

View File

@ -1,13 +1,9 @@
Makefile
whisper.so
ggml.c
ggml.h
ggml-alloc.c
ggml-alloc.h
whisper.bundle
whisper.dll
scripts/get-flags.mk
*.o
*.c
*.cpp
*.h
*.m
*.metal
!ruby_whisper.cpp
!ruby_whisper.h
whisper.cpp
whisper.h
dr_wav.h

View File

@ -1,9 +0,0 @@
ggml/src/ggml-cpu/ggml-cpu-cpp.o: \
ggml/src/ggml-cpu/ggml-cpu.cpp \
ggml/include/ggml-backend.h \
ggml/include/ggml.h \
ggml/include/ggml-alloc.h \
ggml/src/ggml-backend-impl.h \
ggml/include/ggml-cpu.h \
ggml/src/ggml-impl.h
$(CXX) $(CXXFLAGS) -c $< -o $@

View File

@ -1,10 +1,23 @@
require 'mkmf'
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','whisper.cpp')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','whisper.h')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','whisper-mel.hpp')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml.h')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml.c')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-impl.h')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-alloc.h')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-alloc.c')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-backend-impl.h')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-backend.h')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-backend.c')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-common.h')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-quants.h')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-quants.c')} .")
system("cp #{File.join(File.dirname(__FILE__),'..','..','..','examples','dr_wav.h')} .")
# need to use c++ compiler flags
$CXXFLAGS << ' -std=c++17'
$LDFLAGS << ' -lstdc++'
$CXXFLAGS << ' -std=c++11'
# Set to true when building binary gems
if enable_config('static-stdlib', false)
$LDFLAGS << ' -static-libgcc -static-libstdc++'
@ -15,185 +28,4 @@ if enable_config('march-tune-native', false)
$CXXFLAGS << ' -march=native -mtune=native'
end
if ENV['WHISPER_METAL']
$GGML_METAL ||= true
$DEPRECATE_WARNING ||= true
end
$UNAME_S = `uname -s`.chomp
$UNAME_P = `uname -p`.chomp
$UNAME_M = `uname -m`.chomp
if $UNAME_S == 'Darwin'
unless ENV['GGML_NO_METAL']
$GGML_METAL ||= true
end
$GGML_NO_OPENMP ||= true
end
if $GGML_METAL
$GGML_METAL_EMBED_LIBRARY = true
end
$MK_CPPFLAGS = '-Iggml/include -Iggml/src -Iggml/src/ggml-cpu -Iinclude -Isrc -Iexamples'
$MK_CFLAGS = '-std=c11 -fPIC'
$MK_CXXFLAGS = '-std=c++17 -fPIC'
$MK_NVCCFLAGS = '-std=c++17'
$MK_LDFLAGS = ''
$OBJ_GGML = []
$OBJ_WHISPER = []
$OBJ_COMMON = []
$OBJ_SDL = []
$MK_CPPFLAGS << ' -D_XOPEN_SOURCE=600'
if $UNAME_S == 'Linux'
$MK_CPPFLAGS << ' -D_GNU_SOURCE'
end
if $UNAME_S == 'Darwin'
$MK_CPPFLAGS << ' -D_DARWIN_C_SOURCE'
end
if ENV['WHISPER_DEBUG']
$MK_CFLAGS << ' -O0 -g'
$MK_CXXFLAGS << ' -O0 -g'
$MK_LDFLAGS << ' -g'
$MK_NVCCFLAGS << ' -O0 -g'
else
$MK_CPPFLAGS << ' -DNDEBUG'
$MK_CFLAGS << ' -O3'
$MK_CXXFLAGS << ' -O3'
$MK_NVCCFLAGS << ' -O3'
end
$WARN_FLAGS =
' -Wall' <<
' -Wextra' <<
' -Wpedantic' <<
' -Wcast-qual' <<
' -Wno-unused-function'
$MK_CFLAGS <<
$WARN_FLAGS <<
' -Wshadow' <<
' -Wstrict-prototypes' <<
' -Wpointer-arith' <<
' -Wmissing-prototypes' <<
' -Werror=implicit-int' <<
' -Werror=implicit-function-declaration'
$MK_CXXFLAGS <<
$WARN_FLAGS <<
' -Wmissing-declarations' <<
' -Wmissing-noreturn'
unless `#{cc_command} #{$LDFLAGS} -Wl,-v 2>&1`.chomp.include? 'dyld-1015.7'
$MK_CPPFLAGS << ' -DHAVE_BUGGY_APPLE_LINKER'
end
if %w[Linux Darwin FreeBSD NetBSD OpenBSD Haiku].include? $UNAME_S
$MK_CFLAGS << ' -pthread'
$MK_CXXFLAGS << ' -pthread'
end
unless $_WIN32
$DSO_EXT = '.so'
else
$DSO_EXT = '.dll'
end
unless ENV['RISCV']
if %w[x86_64 i686 amd64].include? $UNAME_M
$HOST_CXXFLAGS ||= ''
$MK_CFLAGS << ' -march=native -mtune=native'
$HOST_CXXFLAGS << ' -march=native -mtune=native'
end
else
$MK_CFLAGS << ' -march=rv64gcv -mabi=lp64d'
$MK_CXXFLAGS << ' -march=rv64gcv -mabi=lp64d'
end
unless ENV['GGML_NO_ACCELERATE']
if $UNAME_S == 'Darwin'
$MK_CPPFLAGS << ' -DGGML_USE_ACCELERATE -DGGML_USE_BLAS -DGGML_BLAS_USE_ACCELERATE'
$MK_CPPFLAGS << ' -DACCELERATE_NEW_LAPACK'
$MK_CPPFLAGS << ' -DACCELERATE_LAPACK_ILP64'
$MK_LDFLAGS << ' -framework Accelerate'
$OBJ_GGML << 'ggml/src/ggml-blas/ggml-blas.o'
end
end
if ENV['GGML_OPENBLAS']
$MK_CPPFLAGS << " -DGGML_USE_BLAS #{`pkg-config --cflags-only-I openblas`.chomp}"
$MK_CFLAGS << " #{`pkg-config --cflags-only-other openblas)`.chomp}"
$MK_LDFLAGS << " #{`pkg-config --libs openblas`}"
$OBJ_GGML << 'ggml/src/ggml-blas/ggml-blas.o'
end
if ENV['GGML_OPENBLAS64']
$MK_CPPFLAGS << " -DGGML_USE_BLAS #{`pkg-config --cflags-only-I openblas64`.chomp}"
$MK_CFLAGS << " #{`pkg-config --cflags-only-other openblas64)`.chomp}"
$MK_LDFLAGS << " #{`pkg-config --libs openblas64`}"
$OBJ_GGML << 'ggml/src/ggml-blas/ggml-blas.o'
end
if $GGML_METAL
$MK_CPPFLAGS << ' -DGGML_USE_METAL'
$MK_LDFLAGS << ' -framework Foundation -framework Metal -framework MetalKit'
$OBJ_GGML << 'ggml/src/ggml-metal/ggml-metal.o'
if ENV['GGML_METAL_NDEBUG']
$MK_CPPFLAGS << ' -DGGML_METAL_NDEBUG'
end
if $GGML_METAL_EMBED_LIBRARY
$MK_CPPFLAGS << ' -DGGML_METAL_EMBED_LIBRARY'
$OBJ_GGML << 'ggml/src/ggml-metal/ggml-metal-embed.o'
end
end
$OBJ_GGML <<
'ggml/src/ggml.o' <<
'ggml/src/ggml-alloc.o' <<
'ggml/src/ggml-backend.o' <<
'ggml/src/ggml-backend-reg.o' <<
'ggml/src/ggml-opt.o' <<
'ggml/src/ggml-quants.o' <<
'ggml/src/ggml-threading.o' <<
'ggml/src/ggml-cpu/ggml-cpu.o' <<
'ggml/src/ggml-cpu/ggml-cpu-cpp.o' <<
'ggml/src/ggml-cpu/ggml-cpu-aarch64.o' <<
'ggml/src/ggml-cpu/ggml-cpu-hbm.o' <<
'ggml/src/ggml-cpu/ggml-cpu-quants.o' <<
'ggml/src/ggml-cpu/ggml-cpu-traits.o'
$OBJ_WHISPER <<
'src/whisper.o'
$objs = $OBJ_GGML + $OBJ_WHISPER + $OBJ_COMMON + $OBJ_SDL
$objs << "ruby_whisper.o"
$CPPFLAGS = "#{$MK_CPPFLAGS} #{$CPPFLAGS}"
$CFLAGS = "#{$CPPFLAGS} #{$MK_CFLAGS} #{$GF_CFLAGS} #{$CFLAGS}"
$BASE_CXXFLAGS = "#{$MK_CXXFLAGS} #{$CXXFLAGS}"
$CXXFLAGS = "#{$BASE_CXXFLAGS} #{$HOST_CXXFLAGS} #{$GF_CXXFLAGS} #{$CPPFLAGS}"
$NVCCFLAGS = "#{$MK_NVCCFLAGS} #{$NVCCFLAGS}"
$LDFLAGS = "#{$MK_LDFLAGS} #{$LDFLAGS}"
create_makefile('whisper')
File.open 'Makefile', 'a' do |file|
file.puts 'include scripts/get-flags.mk'
file.puts 'include cpu.mk'
if $GGML_METAL
file.puts 'include metal.mk'
if $GGML_METAL_EMBED_LIBRARY
file.puts 'include metal-embed.mk'
end
end
end

View File

@ -0,0 +1,141 @@
#pragma once
// ggml-backend internal header
#include "ggml-backend.h"
#ifdef __cplusplus
extern "C" {
#endif
//
// Backend buffer
//
// buffer type
typedef void * ggml_backend_buffer_type_context_t;
struct ggml_backend_buffer_type_i {
const char * (*GGML_CALL get_name) (ggml_backend_buffer_type_t buft);
ggml_backend_buffer_t (*GGML_CALL alloc_buffer) (ggml_backend_buffer_type_t buft, size_t size);
size_t (*GGML_CALL get_alignment) (ggml_backend_buffer_type_t buft); // tensor alignment
size_t (*GGML_CALL get_max_size) (ggml_backend_buffer_type_t buft); // allocation max size
size_t (*GGML_CALL get_alloc_size) (ggml_backend_buffer_type_t buft, const struct ggml_tensor * tensor); // data size needed to allocate the tensor, including padding
bool (*GGML_CALL supports_backend)(ggml_backend_buffer_type_t buft, ggml_backend_t backend); // check if the buffer type is usable by the backend
// check if tensor data is in host memory
// should be equivalent to supports_backend(buft, ggml_backend_cpu_init())
bool (*GGML_CALL is_host) (ggml_backend_buffer_type_t buft);
};
struct ggml_backend_buffer_type {
struct ggml_backend_buffer_type_i iface;
ggml_backend_buffer_type_context_t context;
};
// buffer
typedef void * ggml_backend_buffer_context_t;
struct ggml_backend_buffer_i {
const char * (*GGML_CALL get_name) (ggml_backend_buffer_t buffer);
void (*GGML_CALL free_buffer)(ggml_backend_buffer_t buffer);
void * (*GGML_CALL get_base) (ggml_backend_buffer_t buffer);
void (*GGML_CALL init_tensor)(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor);
void (*GGML_CALL set_tensor) (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
void (*GGML_CALL get_tensor) (ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size);
bool (*GGML_CALL cpy_tensor) (ggml_backend_buffer_t buffer, const struct ggml_tensor * src, struct ggml_tensor * dst); // dst is in the buffer, src may be in any buffer
void (*GGML_CALL clear) (ggml_backend_buffer_t buffer, uint8_t value);
void (*GGML_CALL reset) (ggml_backend_buffer_t buffer); // reset any internal state due to tensor initialization, such as tensor extras
};
struct ggml_backend_buffer {
struct ggml_backend_buffer_i iface;
ggml_backend_buffer_type_t buft;
ggml_backend_buffer_context_t context;
size_t size;
enum ggml_backend_buffer_usage usage;
};
GGML_CALL ggml_backend_buffer_t ggml_backend_buffer_init(
ggml_backend_buffer_type_t buft,
struct ggml_backend_buffer_i iface,
ggml_backend_buffer_context_t context,
size_t size);
// do not use directly, use ggml_backend_tensor_copy instead
bool ggml_backend_buffer_copy_tensor(const struct ggml_tensor * src, struct ggml_tensor * dst);
// buffer that contains a collection of buffers
GGML_CALL ggml_backend_buffer_t ggml_backend_multi_buffer_alloc_buffer(ggml_backend_buffer_t * buffers, size_t n_buffers);
GGML_CALL bool ggml_backend_buffer_is_multi_buffer(ggml_backend_buffer_t buffer);
GGML_CALL void ggml_backend_multi_buffer_set_usage(ggml_backend_buffer_t buffer, enum ggml_backend_buffer_usage usage);
//
// Backend
//
typedef void * ggml_backend_context_t;
struct ggml_backend_i {
const char * (*GGML_CALL get_name)(ggml_backend_t backend);
void (*GGML_CALL free)(ggml_backend_t backend);
// buffer allocation
ggml_backend_buffer_type_t (*GGML_CALL get_default_buffer_type)(ggml_backend_t backend);
// (optional) asynchronous tensor data access
void (*GGML_CALL set_tensor_async)(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
void (*GGML_CALL get_tensor_async)(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size);
bool (*GGML_CALL cpy_tensor_async)(ggml_backend_t backend_src, ggml_backend_t backend_dst, const struct ggml_tensor * src, struct ggml_tensor * dst);
// (optional) complete all pending operations
void (*GGML_CALL synchronize)(ggml_backend_t backend);
// compute graph with a plan (not used currently)
ggml_backend_graph_plan_t (*GGML_CALL graph_plan_create) (ggml_backend_t backend, const struct ggml_cgraph * cgraph);
void (*GGML_CALL graph_plan_free) (ggml_backend_t backend, ggml_backend_graph_plan_t plan);
// compute graph with a plan
enum ggml_status (*GGML_CALL graph_plan_compute)(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
// compute graph without a plan (async)
enum ggml_status (*GGML_CALL graph_compute) (ggml_backend_t backend, struct ggml_cgraph * cgraph);
// check if the backend supports an operation
bool (*GGML_CALL supports_op)(ggml_backend_t backend, const struct ggml_tensor * op);
// check if the backend wants to run an operation, even if the weights are allocated in a CPU buffer
// these should be expensive operations with large batch sizes that may benefit from running on this backend
// even if the weight has to be copied from the CPU temporarily
bool (*GGML_CALL offload_op)(ggml_backend_t backend, const struct ggml_tensor * op);
// (optional) event synchronization
ggml_backend_event_t (*GGML_CALL event_new) (ggml_backend_t backend);
void (*GGML_CALL event_free) (ggml_backend_event_t event);
void (*GGML_CALL event_record) (ggml_backend_event_t event);
void (*GGML_CALL event_wait) (ggml_backend_t backend, ggml_backend_event_t event);
void (*GGML_CALL event_synchronize) (ggml_backend_event_t event);
};
struct ggml_backend {
ggml_guid_t guid;
struct ggml_backend_i iface;
ggml_backend_context_t context;
};
struct ggml_backend_event {
ggml_backend_t backend;
void * context;
};
//
// Backend registry
//
typedef ggml_backend_t (*GGML_CALL ggml_backend_init_fn)(const char * params, void * user_data);
GGML_CALL void ggml_backend_register(const char * name, ggml_backend_init_fn init_fn, ggml_backend_buffer_type_t default_buffer_type, void * user_data);
#ifdef __cplusplus
}
#endif

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@ -0,0 +1,233 @@
#pragma once
#include "ggml.h"
#include "ggml-alloc.h"
#ifdef __cplusplus
extern "C" {
#endif
typedef struct ggml_backend_buffer_type * ggml_backend_buffer_type_t;
typedef struct ggml_backend_buffer * ggml_backend_buffer_t;
typedef struct ggml_backend_event * ggml_backend_event_t;
typedef struct ggml_backend * ggml_backend_t;
typedef void * ggml_backend_graph_plan_t;
//
// Backend buffer
//
// buffer type
GGML_API const char * ggml_backend_buft_name (ggml_backend_buffer_type_t buft);
GGML_API GGML_CALL ggml_backend_buffer_t ggml_backend_buft_alloc_buffer (ggml_backend_buffer_type_t buft, size_t size);
GGML_API size_t ggml_backend_buft_get_alignment (ggml_backend_buffer_type_t buft);
GGML_API size_t ggml_backend_buft_get_max_size (ggml_backend_buffer_type_t buft);
GGML_API GGML_CALL size_t ggml_backend_buft_get_alloc_size (ggml_backend_buffer_type_t buft, struct ggml_tensor * tensor);
GGML_API bool ggml_backend_buft_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend);
GGML_API bool ggml_backend_buft_is_host (ggml_backend_buffer_type_t buft);
// buffer
enum ggml_backend_buffer_usage {
GGML_BACKEND_BUFFER_USAGE_ANY = 0,
GGML_BACKEND_BUFFER_USAGE_WEIGHTS = 1,
};
GGML_API const char * ggml_backend_buffer_name (ggml_backend_buffer_t buffer);
GGML_API void ggml_backend_buffer_free (ggml_backend_buffer_t buffer);
GGML_API void * ggml_backend_buffer_get_base (ggml_backend_buffer_t buffer);
GGML_API size_t ggml_backend_buffer_get_size (ggml_backend_buffer_t buffer);
GGML_API GGML_CALL void ggml_backend_buffer_init_tensor (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor);
GGML_API size_t ggml_backend_buffer_get_alignment (ggml_backend_buffer_t buffer);
GGML_API size_t ggml_backend_buffer_get_max_size (ggml_backend_buffer_t buffer);
GGML_API size_t ggml_backend_buffer_get_alloc_size(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor);
GGML_API void ggml_backend_buffer_clear (ggml_backend_buffer_t buffer, uint8_t value);
GGML_API bool ggml_backend_buffer_is_host (ggml_backend_buffer_t buffer);
GGML_API void ggml_backend_buffer_set_usage (ggml_backend_buffer_t buffer, enum ggml_backend_buffer_usage usage);
GGML_API ggml_backend_buffer_type_t ggml_backend_buffer_get_type (ggml_backend_buffer_t buffer);
GGML_API void ggml_backend_buffer_reset (ggml_backend_buffer_t buffer);
//
// Backend
//
GGML_API ggml_guid_t ggml_backend_guid(ggml_backend_t backend);
GGML_API const char * ggml_backend_name(ggml_backend_t backend);
GGML_API void ggml_backend_free(ggml_backend_t backend);
GGML_API ggml_backend_buffer_type_t ggml_backend_get_default_buffer_type(ggml_backend_t backend);
GGML_API ggml_backend_buffer_t ggml_backend_alloc_buffer(ggml_backend_t backend, size_t size);
GGML_API size_t ggml_backend_get_alignment(ggml_backend_t backend);
GGML_API size_t ggml_backend_get_max_size(ggml_backend_t backend);
GGML_API void ggml_backend_tensor_set_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
GGML_API void ggml_backend_tensor_get_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size);
GGML_API GGML_CALL void ggml_backend_tensor_set( struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
GGML_API GGML_CALL void ggml_backend_tensor_get(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size);
GGML_API void ggml_backend_synchronize(ggml_backend_t backend);
GGML_API ggml_backend_graph_plan_t ggml_backend_graph_plan_create(ggml_backend_t backend, struct ggml_cgraph * cgraph);
GGML_API void ggml_backend_graph_plan_free (ggml_backend_t backend, ggml_backend_graph_plan_t plan);
GGML_API enum ggml_status ggml_backend_graph_plan_compute (ggml_backend_t backend, ggml_backend_graph_plan_t plan);
GGML_API enum ggml_status ggml_backend_graph_compute (ggml_backend_t backend, struct ggml_cgraph * cgraph);
GGML_API enum ggml_status ggml_backend_graph_compute_async(ggml_backend_t backend, struct ggml_cgraph * cgraph);
GGML_API bool ggml_backend_supports_op(ggml_backend_t backend, const struct ggml_tensor * op);
GGML_API bool ggml_backend_offload_op(ggml_backend_t backend, const struct ggml_tensor * op);
// tensor copy between different backends
GGML_API void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst);
// asynchronous copy
// the copy is performed after all the currently queued operations in backend_src
// backend_dst will wait for the copy to complete before performing other operations
// automatic fallback to sync copy if async is not supported
GGML_API void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, struct ggml_tensor * src, struct ggml_tensor * dst);
// events
GGML_API ggml_backend_event_t ggml_backend_event_new (ggml_backend_t backend);
GGML_API void ggml_backend_event_free (ggml_backend_event_t event);
GGML_API void ggml_backend_event_record (ggml_backend_event_t event);
GGML_API void ggml_backend_event_synchronize(ggml_backend_event_t event);
GGML_API void ggml_backend_event_wait (ggml_backend_t backend, ggml_backend_event_t event); // wait async on event
//
// CPU backend
//
GGML_API ggml_backend_t ggml_backend_cpu_init(void);
GGML_API GGML_CALL bool ggml_backend_is_cpu (ggml_backend_t backend);
GGML_API void ggml_backend_cpu_set_n_threads (ggml_backend_t backend_cpu, int n_threads);
GGML_API void ggml_backend_cpu_set_abort_callback(ggml_backend_t backend_cpu, ggml_abort_callback abort_callback, void * abort_callback_data);
// Create a backend buffer from an existing pointer
GGML_API GGML_CALL ggml_backend_buffer_t ggml_backend_cpu_buffer_from_ptr(void * ptr, size_t size);
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cpu_buffer_type(void);
#ifdef GGML_USE_CPU_HBM
GGML_API ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void);
#endif
//
// Backend registry
//
// The backend registry is a registry of all the available backends, and allows initializing backends in a generic way
GGML_API size_t ggml_backend_reg_get_count(void);
GGML_API size_t ggml_backend_reg_find_by_name(const char * name);
GGML_API ggml_backend_t ggml_backend_reg_init_backend_from_str(const char * backend_str); // str is name[:params]
GGML_API const char * ggml_backend_reg_get_name(size_t i);
GGML_API ggml_backend_t ggml_backend_reg_init_backend(size_t i, const char * params); // params is backend-specific
GGML_API ggml_backend_buffer_type_t ggml_backend_reg_get_default_buffer_type(size_t i);
GGML_API ggml_backend_buffer_t ggml_backend_reg_alloc_buffer(size_t i, size_t size);
//
// Backend scheduler
//
// The backend scheduler allows for multiple backends to be used together
// Handles compute buffer allocation, assignment of tensors to backends, and copying of tensors between backends
// The backends are selected based on:
// - the backend that supports the operation
// - the location of the pre-allocated tensors (e.g. the weights)
/*
Example usage:
// operations that use tensors allocated in a buffer with USAGE_WEIGHTS will be assigned
// preferrably to run on the same backend as the buffer
ggml_backend_buffer_set_usage(buf_weights, GGML_BACKEND_BUFFER_USAGE_WEIGHTS);
sched = ggml_backend_sched_new({backend_gpu, backend_gpu2, backend_cpu}, NULL, num_backends, GGML_DEFAULT_GRAPH_SIZE, false);
// initialize buffers from a max size graph (optional)
reserve_graph = build_graph(sched, max_batch_size);
// manually assign nodes to a backend (optional, should not be needed in most cases)
struct ggml_tensor * node = ggml_mul_mat(ctx, ...);
ggml_backend_sched_set_tensor_backend(sched, node, backend_gpu);
ggml_backend_sched_reserve(sched, reserve_graph);
// compute
graph = build_graph(sched);
ggml_backend_sched_graph_compute(sched, graph);
// if there are graph inputs:
ggml_backend_sched_reset(sched);
ggml_backend_sched_alloc_graph(sched, graph);
ggml_backend_tensor_set(input_tensor, ...);
ggml_backend_sched_graph_compute(sched, graph);
}
*/
struct ggml_backend_sched;
typedef struct ggml_backend_sched * ggml_backend_sched_t;
// when ask == true, the scheduler wants to know if the user wants to observe this node
// this allows the scheduler to batch nodes together in order to evaluate them in a single call
//
// when ask == false, the scheduler is passing the node tensor to the user for observation
// if the user returns false, the scheduler will cancel the graph compute
//
typedef bool (*ggml_backend_sched_eval_callback)(struct ggml_tensor * t, bool ask, void * user_data);
// Initialize a backend scheduler
GGML_API ggml_backend_sched_t ggml_backend_sched_new(ggml_backend_t * backends, ggml_backend_buffer_type_t * bufts, int n_backends, size_t graph_size, bool parallel);
GGML_API void ggml_backend_sched_free(ggml_backend_sched_t sched);
// Initialize backend buffers from a measure graph
GGML_API bool ggml_backend_sched_reserve(ggml_backend_sched_t sched, struct ggml_cgraph * measure_graph);
// Get the number of splits of the last graph
GGML_API int ggml_backend_sched_get_n_splits(ggml_backend_sched_t sched);
GGML_API int ggml_backend_sched_get_n_copies(ggml_backend_sched_t sched);
GGML_API size_t ggml_backend_sched_get_buffer_size(ggml_backend_sched_t sched, ggml_backend_t backend);
GGML_API void ggml_backend_sched_set_tensor_backend(ggml_backend_sched_t sched, struct ggml_tensor * node, ggml_backend_t backend);
GGML_API ggml_backend_t ggml_backend_sched_get_tensor_backend(ggml_backend_sched_t sched, struct ggml_tensor * node);
// Allocate and compute graph on the backend scheduler
GGML_API bool ggml_backend_sched_alloc_graph(ggml_backend_sched_t sched, struct ggml_cgraph * graph);
GGML_API enum ggml_status ggml_backend_sched_graph_compute(ggml_backend_sched_t sched, struct ggml_cgraph * graph);
GGML_API enum ggml_status ggml_backend_sched_graph_compute_async(ggml_backend_sched_t sched, struct ggml_cgraph * graph);
GGML_API void ggml_backend_sched_synchronize(ggml_backend_sched_t sched);
// Reset all assignments and allocators - must be called before changing the node backends
GGML_API void ggml_backend_sched_reset(ggml_backend_sched_t sched);
// Set a callback to be called for each resulting node during graph compute
GGML_API void ggml_backend_sched_set_eval_callback(ggml_backend_sched_t sched, ggml_backend_sched_eval_callback callback, void * user_data);
//
// Utils
//
struct ggml_backend_graph_copy {
ggml_backend_buffer_t buffer;
struct ggml_context * ctx_allocated;
struct ggml_context * ctx_unallocated;
struct ggml_cgraph * graph;
};
// Copy a graph to a different backend
GGML_API struct ggml_backend_graph_copy ggml_backend_graph_copy(ggml_backend_t backend, struct ggml_cgraph * graph);
GGML_API void ggml_backend_graph_copy_free(struct ggml_backend_graph_copy copy);
typedef bool (*GGML_CALL ggml_backend_eval_callback)(int node_index, struct ggml_tensor * t1, struct ggml_tensor * t2, void * user_data);
// Compare the output of two backends
GGML_API bool ggml_backend_compare_graph_backend(ggml_backend_t backend1, ggml_backend_t backend2, struct ggml_cgraph * graph, ggml_backend_eval_callback callback, void * user_data);
// Tensor initialization
GGML_API void ggml_backend_tensor_alloc(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, void * addr);
GGML_API void ggml_backend_view_init(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor);
#ifdef __cplusplus
}
#endif

View File

@ -6,20 +6,7 @@
typedef uint16_t ggml_half;
typedef uint32_t ggml_half2;
#define GGML_COMMON_AGGR_U
#define GGML_COMMON_AGGR_S
#define GGML_COMMON_DECL
#elif defined(GGML_COMMON_DECL_CPP)
#include <cstdint>
typedef uint16_t ggml_half;
typedef uint32_t ggml_half2;
// std-c++ allow anonymous unions but some compiler warn on it
#define GGML_COMMON_AGGR_U data
// std-c++ do not allow it.
#define GGML_COMMON_AGGR_S data
#define GGML_COMMON_AGGR
#define GGML_COMMON_DECL
#elif defined(GGML_COMMON_DECL_METAL)
@ -28,23 +15,17 @@ typedef uint32_t ggml_half2;
typedef half ggml_half;
typedef half2 ggml_half2;
#define GGML_COMMON_AGGR_U
#define GGML_COMMON_AGGR_S
#define GGML_COMMON_AGGR
#define GGML_COMMON_DECL
#elif defined(GGML_COMMON_DECL_CUDA)
#if defined(GGML_COMMON_DECL_MUSA)
#include <musa_fp16.h>
#else
#include <cuda_fp16.h>
#endif
#include <cstdint>
typedef half ggml_half;
typedef half2 ggml_half2;
#define GGML_COMMON_AGGR_U
#define GGML_COMMON_AGGR_S data
#define GGML_COMMON_AGGR data
#define GGML_COMMON_DECL
#elif defined(GGML_COMMON_DECL_HIP)
@ -54,8 +35,7 @@ typedef half2 ggml_half2;
typedef half ggml_half;
typedef half2 ggml_half2;
#define GGML_COMMON_AGGR_U
#define GGML_COMMON_AGGR_S data
#define GGML_COMMON_AGGR data
#define GGML_COMMON_DECL
#elif defined(GGML_COMMON_DECL_SYCL)
@ -65,8 +45,7 @@ typedef half2 ggml_half2;
typedef sycl::half ggml_half;
typedef sycl::half2 ggml_half2;
#define GGML_COMMON_AGGR_U
#define GGML_COMMON_AGGR_S data
#define GGML_COMMON_AGGR data
#define GGML_COMMON_DECL
#endif
@ -86,8 +65,13 @@ typedef sycl::half2 ggml_half2;
// QK = number of values after dequantization
// QK_K = super-block size
#ifdef GGML_QKK_64
#define QK_K 64
#define K_SCALE_SIZE 4
#else
#define QK_K 256
#define K_SCALE_SIZE 12
#endif // GGML_QKK_64
#if defined(GGML_COMMON_DECL_CUDA) || defined(GGML_COMMON_DECL_HIP) || defined(GGML_COMMON_DECL_SYCL)
// QR = QK / number of values before dequantization
@ -127,34 +111,33 @@ typedef sycl::half2 ggml_half2;
#define QR6_K 2
#define QI2_XXS (QK_K / (4*QR2_XXS))
#define QR2_XXS 4
#define QR2_XXS 8
#define QI2_XS (QK_K / (4*QR2_XS))
#define QR2_XS 4
#define QR2_XS 8
#define QI2_S (QK_K / (4*QR2_S))
#define QR2_S 4
#define QR2_S 8
#define QI3_XXS (QK_K / (4*QR3_XXS))
#define QR3_XXS 4
#define QR3_XXS 8
#define QI3_XS (QK_K / (4*QR3_XS))
#define QR3_XS 4
#define QR3_XS 8
#define QI1_S (QK_K / (4*QR1_S))
#define QR1_S 8
#define QI1_M (QK_K / (4*QR1_M))
#define QR1_M 8
#define QI4_NL (QK4_NL / (4*QR4_NL))
#define QR4_NL 2
#if QK_K == 64
#define QI4_XS QI4_NL
#define QR4_XS QR4_NL
#else
#define QI4_XS (QK_K / (4*QR4_XS))
#define QR4_XS 2
#define QI3_S (QK_K / (4*QR3_S))
#define QR3_S 4
#define QR4_XS 8
#endif
#endif // GGML_COMMON_DECL_CUDA || GGML_COMMON_DECL_HIP
@ -171,9 +154,9 @@ typedef struct {
struct {
ggml_half d; // delta
ggml_half m; // min
} GGML_COMMON_AGGR_S;
} GGML_COMMON_AGGR;
ggml_half2 dm;
} GGML_COMMON_AGGR_U;
};
uint8_t qs[QK4_1 / 2]; // nibbles / quants
} block_q4_1;
static_assert(sizeof(block_q4_1) == 2 * sizeof(ggml_half) + QK4_1 / 2, "wrong q4_1 block size/padding");
@ -192,9 +175,9 @@ typedef struct {
struct {
ggml_half d; // delta
ggml_half m; // min
} GGML_COMMON_AGGR_S;
} GGML_COMMON_AGGR;
ggml_half2 dm;
} GGML_COMMON_AGGR_U;
};
uint8_t qh[4]; // 5-th bit of quants
uint8_t qs[QK5_1 / 2]; // nibbles / quants
} block_q5_1;
@ -213,32 +196,13 @@ typedef struct {
struct {
ggml_half d; // delta
ggml_half s; // d * sum(qs[i])
} GGML_COMMON_AGGR_S;
} GGML_COMMON_AGGR;
ggml_half2 ds;
} GGML_COMMON_AGGR_U;
};
int8_t qs[QK8_1]; // quants
} block_q8_1;
static_assert(sizeof(block_q8_1) == 2*sizeof(ggml_half) + QK8_1, "wrong q8_1 block size/padding");
//
// Ternary quantization
//
// 1.6875 bpw
typedef struct {
uint8_t qs[(QK_K - 4 * QK_K / 64) / 5]; // 5 elements per byte (3^5 = 243 < 256)
uint8_t qh[QK_K/64]; // 4 elements per byte
ggml_half d;
} block_tq1_0;
static_assert(sizeof(block_tq1_0) == sizeof(ggml_half) + QK_K / 64 + (QK_K - 4 * QK_K / 64) / 5, "wrong tq1_0 block size/padding");
// 2.0625 bpw
typedef struct {
uint8_t qs[QK_K/4]; // 2 bits per element
ggml_half d;
} block_tq2_0;
static_assert(sizeof(block_tq2_0) == sizeof(ggml_half) + QK_K / 4, "wrong tq2_0 block size/padding");
//
// Super-block quantization structures
//
@ -254,9 +218,9 @@ typedef struct {
struct {
ggml_half d; // super-block scale for quantized scales
ggml_half dmin; // super-block scale for quantized mins
} GGML_COMMON_AGGR_S;
} GGML_COMMON_AGGR;
ggml_half2 dm;
} GGML_COMMON_AGGR_U;
};
} block_q2_K;
static_assert(sizeof(block_q2_K) == 2*sizeof(ggml_half) + QK_K/16 + QK_K/4, "wrong q2_K block size/padding");
@ -264,6 +228,15 @@ static_assert(sizeof(block_q2_K) == 2*sizeof(ggml_half) + QK_K/16 + QK_K/4, "wro
// weight is represented as x = a * q
// 16 blocks of 16 elements each
// Effectively 3.4375 bits per weight
#ifdef GGML_QKK_64
typedef struct {
uint8_t hmask[QK_K/8]; // quants - high bit
uint8_t qs[QK_K/4]; // quants - low 2 bits
uint8_t scales[2];
ggml_half d; // super-block scale
} block_q3_K;
static_assert(sizeof(block_q3_K) == sizeof(ggml_half) + QK_K / 4 + QK_K / 8 + 2, "wrong q3_K block size/padding");
#else
typedef struct {
uint8_t hmask[QK_K/8]; // quants - high bit
uint8_t qs[QK_K/4]; // quants - low 2 bits
@ -271,41 +244,61 @@ typedef struct {
ggml_half d; // super-block scale
} block_q3_K;
static_assert(sizeof(block_q3_K) == sizeof(ggml_half) + QK_K / 4 + QK_K / 8 + 12, "wrong q3_K block size/padding");
#endif
// 4-bit quantization
// 8 blocks of 32 elements each
// weight is represented as x = a * q + b
// Effectively 4.5 bits per weight
#ifdef GGML_QKK_64
typedef struct {
ggml_half d[2]; // super-block scales/mins
uint8_t scales[2]; // 4-bit block scales/mins
uint8_t qs[QK_K/2]; // 4--bit quants
} block_q4_K;
static_assert(sizeof(block_q4_K) == 2*sizeof(ggml_half) + QK_K/2 + 2, "wrong q4_K block size/padding");
#else
typedef struct {
union {
struct {
ggml_half d; // super-block scale for quantized scales
ggml_half dmin; // super-block scale for quantized mins
} GGML_COMMON_AGGR_S;
} GGML_COMMON_AGGR;
ggml_half2 dm;
} GGML_COMMON_AGGR_U;
};
uint8_t scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits
uint8_t qs[QK_K/2]; // 4--bit quants
} block_q4_K;
static_assert(sizeof(block_q4_K) == 2*sizeof(ggml_half) + K_SCALE_SIZE + QK_K/2, "wrong q4_K block size/padding");
#endif
// 5-bit quantization
// 8 blocks of 32 elements each
// weight is represented as x = a * q + b
// Effectively 5.5 bits per weight
#ifdef GGML_QKK_64
typedef struct {
ggml_half d; // super-block scale
int8_t scales[QK_K/16]; // 8-bit block scales
uint8_t qh[QK_K/8]; // quants, high bit
uint8_t qs[QK_K/2]; // quants, low 4 bits
} block_q5_K;
static_assert(sizeof(block_q5_K) == sizeof(ggml_half) + QK_K/2 + QK_K/8 + QK_K/16, "wrong q5_K block size/padding");
#else
typedef struct {
union {
struct {
ggml_half d; // super-block scale for quantized scales
ggml_half dmin; // super-block scale for quantized mins
} GGML_COMMON_AGGR_S;
} GGML_COMMON_AGGR;
ggml_half2 dm;
} GGML_COMMON_AGGR_U;
};
uint8_t scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits
uint8_t qh[QK_K/8]; // quants, high bit
uint8_t qs[QK_K/2]; // quants, low 4 bits
} block_q5_K;
static_assert(sizeof(block_q5_K) == 2*sizeof(ggml_half) + K_SCALE_SIZE + QK_K/2 + QK_K/8, "wrong q5_K block size/padding");
#endif
// 6-bit quantization
// weight is represented as x = a * q
@ -363,7 +356,11 @@ typedef struct {
static_assert(sizeof(block_iq3_xxs) == sizeof(ggml_half) + 3*(QK_K/8), "wrong iq3_xxs block size/padding");
// 3.4375 bpw
#if QK_K == 64
#define IQ3S_N_SCALE 2
#else
#define IQ3S_N_SCALE QK_K/64
#endif
typedef struct {
ggml_half d;
uint8_t qs[QK_K/4];
@ -373,7 +370,6 @@ typedef struct {
} block_iq3_s;
static_assert(sizeof(block_iq3_s) == sizeof(ggml_half) + 13*(QK_K/32) + IQ3S_N_SCALE, "wrong iq3_s block size/padding");
// 1.5625 bpw
typedef struct {
ggml_half d;
uint8_t qs[QK_K/8];
@ -385,9 +381,16 @@ static_assert(sizeof(block_iq1_s) == sizeof(ggml_half) + QK_K/8 + QK_K/16, "wron
typedef struct {
uint8_t qs[QK_K/8]; // grid index, low 8 bits
uint8_t qh[QK_K/16]; // grid index, high 3 bits + grid shift bit (for two groups of 8)
#if QK_K == 64
ggml_half d;
#endif
uint8_t scales[QK_K/32]; // 3-bit block scales (4-bit if QK_K == 64)
} block_iq1_m;
#if QK_K == 64
static_assert(sizeof(block_iq1_m) == QK_K/8 + QK_K/16 + QK_K/32 + sizeof(ggml_half), "wrong iq1_m block size/padding");
#else
static_assert(sizeof(block_iq1_m) == QK_K/8 + QK_K/16 + QK_K/32, "wrong iq1_m block size/padding");
#endif
// Used by IQ1_M quants
typedef union {
@ -403,6 +406,9 @@ typedef struct {
} block_iq4_nl;
static_assert(sizeof(block_iq4_nl) == sizeof(ggml_half) + QK4_NL/2, "wrong iq4_nl block size/padding");
#if QK_K == 64
#define block_iq4_xs block_iq4_nl
#else
typedef struct {
ggml_half d;
uint16_t scales_h;
@ -410,6 +416,7 @@ typedef struct {
uint8_t qs[QK_K/2];
} block_iq4_xs;
static_assert(sizeof(block_iq4_xs) == sizeof(ggml_half) + sizeof(uint16_t) + QK_K/64 + QK_K/2, "wrong iq4_xs block size/padding");
#endif
#endif // GGML_COMMON_DECL
#endif // GGML_COMMON_DECL
@ -424,13 +431,6 @@ static_assert(sizeof(block_iq4_xs) == sizeof(ggml_half) + sizeof(uint16_t) + QK_
#define GGML_TABLE_BEGIN(type, name, size) static const type name[size] = {
#define GGML_TABLE_END() };
#define GGML_COMMON_IMPL
#elif defined(GGML_COMMON_IMPL_CPP)
#include <cstdint>
#define GGML_TABLE_BEGIN(type, name, size) static const type name[size] = {
#define GGML_TABLE_END() };
#define GGML_COMMON_IMPL
#elif defined(GGML_COMMON_IMPL_METAL)
#include <metal_stdlib>
@ -439,7 +439,7 @@ static_assert(sizeof(block_iq4_xs) == sizeof(ggml_half) + sizeof(uint16_t) + QK_
#define GGML_TABLE_END() };
#define GGML_COMMON_IMPL
#elif defined(GGML_COMMON_IMPL_CUDA) || defined(GGML_COMMON_IMPL_HIP) || defined(GGML_COMMON_IMPL_MUSA)
#elif defined(GGML_COMMON_IMPL_CUDA) || defined(GGML_COMMON_IMPL_HIP)
#include <cstdint>
#define GGML_TABLE_BEGIN(type, name, size) static const __device__ type name[size] = {
@ -473,7 +473,7 @@ GGML_TABLE_BEGIN(uint8_t, ksigns_iq2xs, 128)
240, 113, 114, 243, 116, 245, 246, 119, 120, 249, 250, 123, 252, 125, 126, 255,
GGML_TABLE_END()
//#if __CUDA_ARCH__ >= GGML_CUDA_CC_DP4A // lowest compute capability for integer intrinsics
//#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
GGML_TABLE_BEGIN(uint64_t, ksigns64, 128)
0x0000000000000000, 0xff000000000000ff, 0xff0000000000ff00, 0x000000000000ffff,
0xff00000000ff0000, 0x0000000000ff00ff, 0x0000000000ffff00, 0xff00000000ffffff,

View File

@ -0,0 +1,43 @@
#pragma once
#include "ggml.h"
#include "ggml-backend.h"
#ifdef GGML_USE_HIPBLAS
#define GGML_CUDA_NAME "ROCm"
#define GGML_CUBLAS_NAME "hipBLAS"
#else
#define GGML_CUDA_NAME "CUDA"
#define GGML_CUBLAS_NAME "cuBLAS"
#endif
#ifdef __cplusplus
extern "C" {
#endif
#define GGML_CUDA_MAX_DEVICES 16
// backend API
GGML_API GGML_CALL ggml_backend_t ggml_backend_cuda_init(int device);
GGML_API GGML_CALL bool ggml_backend_is_cuda(ggml_backend_t backend);
// device buffer
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int device);
// split tensor buffer that splits matrices by rows across multiple devices
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(const float * tensor_split);
// pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type(void);
GGML_API GGML_CALL int ggml_backend_cuda_get_device_count(void);
GGML_API GGML_CALL void ggml_backend_cuda_get_device_description(int device, char * description, size_t description_size);
GGML_API GGML_CALL void ggml_backend_cuda_get_device_memory(int device, size_t * free, size_t * total);
GGML_API GGML_CALL bool ggml_backend_cuda_register_host_buffer(void * buffer, size_t size);
GGML_API GGML_CALL void ggml_backend_cuda_unregister_host_buffer(void * buffer);
#ifdef __cplusplus
}
#endif

View File

@ -0,0 +1,272 @@
#pragma once
#include "ggml.h"
// GGML internal header
#include <assert.h>
#include <stdlib.h> // load `stdlib.h` before other headers to work around MinGW bug: https://sourceforge.net/p/mingw-w64/bugs/192/
#include <stddef.h>
#include <stdbool.h>
#include <string.h> // memcpy
#include <math.h> // fabsf
#ifdef __cplusplus
extern "C" {
#endif
// static_assert should be a #define, but if it's not,
// fall back to the _Static_assert C11 keyword.
// if C99 - static_assert is noop
// ref: https://stackoverflow.com/a/53923785/4039976
#ifndef __cplusplus
#ifndef static_assert
#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 201100L)
#define static_assert(cond, msg) _Static_assert(cond, msg)
#else
#define static_assert(cond, msg) struct global_scope_noop_trick
#endif
#endif
#endif
// __FMA__ and __F16C__ are not defined in MSVC, however they are implied with AVX2/AVX512
#if defined(_MSC_VER) && (defined(__AVX2__) || defined(__AVX512F__))
#ifndef __FMA__
#define __FMA__
#endif
#ifndef __F16C__
#define __F16C__
#endif
#endif
// __SSE3__ and __SSSE3__ are not defined in MSVC, but SSE3/SSSE3 are present when AVX/AVX2/AVX512 are available
#if defined(_MSC_VER) && (defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__))
#ifndef __SSE3__
#define __SSE3__
#endif
#ifndef __SSSE3__
#define __SSSE3__
#endif
#endif
// 16-bit float
// on Arm, we use __fp16
// on x86, we use uint16_t
#if defined(__ARM_NEON) && !defined(_MSC_VER)
// if YCM cannot find <arm_neon.h>, make a symbolic link to it, for example:
//
// $ ln -sfn /Library/Developer/CommandLineTools/usr/lib/clang/13.1.6/include/arm_neon.h ./src/
//
#include <arm_neon.h>
typedef __fp16 ggml_fp16_internal_t;
#define GGML_COMPUTE_FP16_TO_FP32(x) ggml_compute_fp16_to_fp32(x)
#define GGML_COMPUTE_FP32_TO_FP16(x) ggml_compute_fp32_to_fp16(x)
#define GGML_FP16_TO_FP32(x) ggml_compute_fp16_to_fp32(x)
static inline float ggml_compute_fp16_to_fp32(ggml_fp16_t h) {
ggml_fp16_internal_t tmp;
memcpy(&tmp, &h, sizeof(ggml_fp16_t));
return (float)tmp;
}
static inline ggml_fp16_t ggml_compute_fp32_to_fp16(float f) {
ggml_fp16_t res;
ggml_fp16_internal_t tmp = f;
memcpy(&res, &tmp, sizeof(ggml_fp16_t));
return res;
}
#else
typedef uint16_t ggml_fp16_internal_t;
#ifdef __wasm_simd128__
#include <wasm_simd128.h>
#else
#ifdef __POWER9_VECTOR__
#include <altivec.h>
#undef bool
#define bool _Bool
#else
#if defined(_MSC_VER) || defined(__MINGW32__)
#include <intrin.h>
#else
#if defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__) || defined(__SSSE3__) || defined(__SSE3__)
#if !defined(__riscv)
#include <immintrin.h>
#endif
#endif
#endif
#endif
#endif
#ifdef __riscv_v_intrinsic
#include <riscv_vector.h>
#endif
#ifdef __F16C__
#ifdef _MSC_VER
#define GGML_COMPUTE_FP16_TO_FP32(x) _mm_cvtss_f32(_mm_cvtph_ps(_mm_cvtsi32_si128(x)))
#define GGML_COMPUTE_FP32_TO_FP16(x) _mm_extract_epi16(_mm_cvtps_ph(_mm_set_ss(x), 0), 0)
#else
#define GGML_COMPUTE_FP16_TO_FP32(x) _cvtsh_ss(x)
#define GGML_COMPUTE_FP32_TO_FP16(x) _cvtss_sh(x, 0)
#endif
#elif defined(__POWER9_VECTOR__)
#define GGML_COMPUTE_FP16_TO_FP32(x) ggml_compute_fp16_to_fp32(x)
#define GGML_COMPUTE_FP32_TO_FP16(x) ggml_compute_fp32_to_fp16(x)
/* the inline asm below is about 12% faster than the lookup method */
#define GGML_FP16_TO_FP32(x) GGML_COMPUTE_FP16_TO_FP32(x)
#define GGML_FP32_TO_FP16(x) GGML_COMPUTE_FP32_TO_FP16(x)
static inline float ggml_compute_fp16_to_fp32(ggml_fp16_t h) {
register float f;
register double d;
__asm__(
"mtfprd %0,%2\n"
"xscvhpdp %0,%0\n"
"frsp %1,%0\n" :
/* temp */ "=d"(d),
/* out */ "=f"(f):
/* in */ "r"(h));
return f;
}
static inline ggml_fp16_t ggml_compute_fp32_to_fp16(float f) {
register double d;
register ggml_fp16_t r;
__asm__( /* xscvdphp can work on double or single precision */
"xscvdphp %0,%2\n"
"mffprd %1,%0\n" :
/* temp */ "=d"(d),
/* out */ "=r"(r):
/* in */ "f"(f));
return r;
}
#else
// FP16 <-> FP32
// ref: https://github.com/Maratyszcza/FP16
static inline float fp32_from_bits(uint32_t w) {
union {
uint32_t as_bits;
float as_value;
} fp32;
fp32.as_bits = w;
return fp32.as_value;
}
static inline uint32_t fp32_to_bits(float f) {
union {
float as_value;
uint32_t as_bits;
} fp32;
fp32.as_value = f;
return fp32.as_bits;
}
static inline float ggml_compute_fp16_to_fp32(ggml_fp16_t h) {
const uint32_t w = (uint32_t) h << 16;
const uint32_t sign = w & UINT32_C(0x80000000);
const uint32_t two_w = w + w;
const uint32_t exp_offset = UINT32_C(0xE0) << 23;
#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L) || defined(__GNUC__) && !defined(__STRICT_ANSI__)
const float exp_scale = 0x1.0p-112f;
#else
const float exp_scale = fp32_from_bits(UINT32_C(0x7800000));
#endif
const float normalized_value = fp32_from_bits((two_w >> 4) + exp_offset) * exp_scale;
const uint32_t magic_mask = UINT32_C(126) << 23;
const float magic_bias = 0.5f;
const float denormalized_value = fp32_from_bits((two_w >> 17) | magic_mask) - magic_bias;
const uint32_t denormalized_cutoff = UINT32_C(1) << 27;
const uint32_t result = sign |
(two_w < denormalized_cutoff ? fp32_to_bits(denormalized_value) : fp32_to_bits(normalized_value));
return fp32_from_bits(result);
}
static inline ggml_fp16_t ggml_compute_fp32_to_fp16(float f) {
#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L) || defined(__GNUC__) && !defined(__STRICT_ANSI__)
const float scale_to_inf = 0x1.0p+112f;
const float scale_to_zero = 0x1.0p-110f;
#else
const float scale_to_inf = fp32_from_bits(UINT32_C(0x77800000));
const float scale_to_zero = fp32_from_bits(UINT32_C(0x08800000));
#endif
float base = (fabsf(f) * scale_to_inf) * scale_to_zero;
const uint32_t w = fp32_to_bits(f);
const uint32_t shl1_w = w + w;
const uint32_t sign = w & UINT32_C(0x80000000);
uint32_t bias = shl1_w & UINT32_C(0xFF000000);
if (bias < UINT32_C(0x71000000)) {
bias = UINT32_C(0x71000000);
}
base = fp32_from_bits((bias >> 1) + UINT32_C(0x07800000)) + base;
const uint32_t bits = fp32_to_bits(base);
const uint32_t exp_bits = (bits >> 13) & UINT32_C(0x00007C00);
const uint32_t mantissa_bits = bits & UINT32_C(0x00000FFF);
const uint32_t nonsign = exp_bits + mantissa_bits;
return (sign >> 16) | (shl1_w > UINT32_C(0xFF000000) ? UINT16_C(0x7E00) : nonsign);
}
#define GGML_COMPUTE_FP16_TO_FP32(x) ggml_compute_fp16_to_fp32(x)
#define GGML_COMPUTE_FP32_TO_FP16(x) ggml_compute_fp32_to_fp16(x)
#endif // __F16C__
#endif // __ARM_NEON
// precomputed f32 table for f16 (256 KB)
// defined in ggml.c, initialized in ggml_init()
extern float ggml_table_f32_f16[1 << 16];
// On ARM NEON, it's quicker to directly convert x -> x instead of calling into ggml_lookup_fp16_to_fp32,
// so we define GGML_FP16_TO_FP32 and GGML_FP32_TO_FP16 elsewhere for NEON.
// This is also true for POWER9.
#if !defined(GGML_FP16_TO_FP32)
inline static float ggml_lookup_fp16_to_fp32(ggml_fp16_t f) {
uint16_t s;
memcpy(&s, &f, sizeof(uint16_t));
return ggml_table_f32_f16[s];
}
#define GGML_FP16_TO_FP32(x) ggml_lookup_fp16_to_fp32(x)
#endif
#if !defined(GGML_FP32_TO_FP16)
#define GGML_FP32_TO_FP16(x) GGML_COMPUTE_FP32_TO_FP16(x)
#endif
#define GGML_HASHTABLE_FULL ((size_t)-1)
#define GGML_HASHTABLE_ALREADY_EXISTS ((size_t)-2)
struct ggml_hash_set ggml_hash_set_new(size_t size);
bool ggml_hash_contains (const struct ggml_hash_set hash_set, struct ggml_tensor * key);
// returns GGML_HASHTABLE_FULL if table is full, otherwise the current index of the key or where it should be inserted
size_t ggml_hash_find (const struct ggml_hash_set hash_set, struct ggml_tensor * key);
// returns GGML_HASHTABLE_ALREADY_EXISTS if key already exists, index otherwise, asserts if table is full
size_t ggml_hash_insert ( struct ggml_hash_set hash_set, struct ggml_tensor * key);
// return index, asserts if table is full
size_t ggml_hash_find_or_insert( struct ggml_hash_set hash_set, struct ggml_tensor * key);
#ifdef __cplusplus
}
#endif

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@ -11,8 +11,6 @@
extern "C" {
#endif
#define GGML_KOMPUTE_MAX_DEVICES 16
struct ggml_vk_device {
int index;
int type; // same as VkPhysicalDeviceType
@ -37,13 +35,11 @@ struct ggml_vk_device ggml_vk_current_device(void);
// forward declaration
typedef struct ggml_backend * ggml_backend_t;
GGML_BACKEND_API ggml_backend_t ggml_backend_kompute_init(int device);
GGML_API ggml_backend_t ggml_backend_kompute_init(int device);
GGML_BACKEND_API bool ggml_backend_is_kompute(ggml_backend_t backend);
GGML_API bool ggml_backend_is_kompute(ggml_backend_t backend);
GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_kompute_buffer_type(int device);
GGML_BACKEND_API ggml_backend_reg_t ggml_backend_kompute_reg(void);
GGML_API ggml_backend_buffer_type_t ggml_backend_kompute_buffer_type(int device);
#ifdef __cplusplus
}

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@ -1,9 +1,7 @@
// Note: this description is outdated
//
// An interface allowing to compute ggml_cgraph with Metal
//
// This is a fully functional interface that extends ggml with GPU support for Apple devices.
// A similar interface can be created for other GPU backends (e.g. Vulkan, CUDA, etc.)
// A similar interface can be created for other GPU backends (e.g. Vulkan, CUDA, OpenCL, etc.)
//
// How it works?
//
@ -27,6 +25,9 @@
#include <stddef.h>
#include <stdbool.h>
// max memory buffers that can be mapped to the device
#define GGML_METAL_MAX_BUFFERS 64
struct ggml_tensor;
struct ggml_cgraph;
@ -39,28 +40,27 @@ extern "C" {
// user-code should use only these functions
//
GGML_BACKEND_API ggml_backend_t ggml_backend_metal_init(void);
GGML_API void ggml_backend_metal_log_set_callback(ggml_log_callback log_callback, void * user_data);
GGML_BACKEND_API bool ggml_backend_is_metal(ggml_backend_t backend);
GGML_API ggml_backend_t ggml_backend_metal_init(void);
GGML_DEPRECATED(
GGML_BACKEND_API ggml_backend_buffer_t ggml_backend_metal_buffer_from_ptr(void * data, size_t size, size_t max_size),
"obsoleted by the new device interface - https://github.com/ggerganov/llama.cpp/pull/9713");
GGML_API bool ggml_backend_is_metal(ggml_backend_t backend);
GGML_BACKEND_API void ggml_backend_metal_set_abort_callback(ggml_backend_t backend, ggml_abort_callback abort_callback, void * user_data);
GGML_API GGML_CALL ggml_backend_buffer_t ggml_backend_metal_buffer_from_ptr(void * data, size_t size, size_t max_size);
GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void);
GGML_API void ggml_backend_metal_set_n_cb(ggml_backend_t backend, int n_cb);
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void);
// helper to check if the device supports a specific family
// ideally, the user code should be doing these checks
// ref: https://developer.apple.com/metal/Metal-Feature-Set-Tables.pdf
GGML_BACKEND_API bool ggml_backend_metal_supports_family(ggml_backend_t backend, int family);
GGML_API bool ggml_backend_metal_supports_family(ggml_backend_t backend, int family);
// capture all command buffers committed the next time `ggml_backend_graph_compute` is called
GGML_BACKEND_API void ggml_backend_metal_capture_next_compute(ggml_backend_t backend);
GGML_BACKEND_API ggml_backend_reg_t ggml_backend_metal_reg(void);
GGML_API void ggml_backend_metal_capture_next_compute(ggml_backend_t backend);
#ifdef __cplusplus
}
#endif

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@ -0,0 +1,36 @@
#pragma once
#include "ggml.h"
#include "ggml-backend.h"
#ifdef __cplusplus
extern "C" {
#endif
GGML_API void ggml_cl_init(void);
GGML_API void ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
GGML_API void ggml_cl_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
GGML_API bool ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, const struct ggml_tensor * dst);
GGML_API size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
GGML_API void ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize);
// GGML_API void * ggml_cl_host_malloc(size_t size);
// GGML_API void ggml_cl_host_free(void * ptr);
GGML_API void ggml_cl_free_data(const struct ggml_tensor* tensor);
GGML_API void ggml_cl_transform_tensor(void * data, struct ggml_tensor * tensor);
// backend API
// GGML_API ggml_backend_t ggml_backend_opencl_init(void);
// GGML_API bool ggml_backend_is_opencl(ggml_backend_t backend);
GGML_API ggml_backend_buffer_type_t ggml_backend_opencl_buffer_type(void);
// GGML_API ggml_backend_buffer_type_t ggml_backend_opencl_host_buffer_type(void);
#ifdef __cplusplus
}
#endif

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@ -0,0 +1,133 @@
#pragma once
#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "ggml.h"
// GGML internal header
#ifdef __cplusplus
extern "C" {
#endif
// Quantization
void quantize_row_q4_0_reference(const float * GGML_RESTRICT x, block_q4_0 * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_1_reference(const float * GGML_RESTRICT x, block_q4_1 * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_0_reference(const float * GGML_RESTRICT x, block_q5_0 * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_1_reference(const float * GGML_RESTRICT x, block_q5_1 * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_0_reference(const float * GGML_RESTRICT x, block_q8_0 * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_1_reference(const float * GGML_RESTRICT x, block_q8_1 * GGML_RESTRICT y, int64_t k);
void quantize_row_q2_K_reference(const float * GGML_RESTRICT x, block_q2_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q3_K_reference(const float * GGML_RESTRICT x, block_q3_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_K_reference(const float * GGML_RESTRICT x, block_q4_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_K_reference(const float * GGML_RESTRICT x, block_q5_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q6_K_reference(const float * GGML_RESTRICT x, block_q6_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_K_reference(const float * GGML_RESTRICT x, block_q8_K * GGML_RESTRICT y, int64_t k);
void quantize_row_iq3_xxs_reference(const float * GGML_RESTRICT x, block_iq3_xxs * GGML_RESTRICT y, int64_t k);
void quantize_row_iq4_nl_reference (const float * GGML_RESTRICT x, block_iq4_nl * GGML_RESTRICT y, int64_t k);
void quantize_row_iq4_xs_reference (const float * GGML_RESTRICT x, block_iq4_xs * GGML_RESTRICT y, int64_t k);
void quantize_row_iq3_s_reference (const float * GGML_RESTRICT x, block_iq3_s * GGML_RESTRICT y, int64_t k);
void quantize_row_iq2_s_reference (const float * GGML_RESTRICT x, block_iq2_s * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q2_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q3_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q6_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_iq3_xxs(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_iq4_nl (const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_iq4_xs (const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_iq3_s (const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_iq2_s (const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
// Dequantization
void dequantize_row_q4_0(const block_q4_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q4_1(const block_q4_1 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q5_0(const block_q5_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q5_1(const block_q5_1 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q8_0(const block_q8_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
//void dequantize_row_q8_1(const block_q8_1 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q2_K(const block_q2_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q3_K(const block_q3_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q4_K(const block_q4_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q5_K(const block_q5_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q6_K(const block_q6_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_q8_K(const block_q8_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_iq2_xxs(const block_iq2_xxs * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_iq2_xs (const block_iq2_xs * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_iq2_s (const block_iq2_s * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_iq3_xxs(const block_iq3_xxs * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_iq1_s (const block_iq1_s * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_iq1_m (const block_iq1_m * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_iq4_nl (const block_iq4_nl * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_iq4_xs (const block_iq4_xs * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
void dequantize_row_iq3_s (const block_iq3_s * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
// Dot product
void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_q4_1_q8_1(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_q5_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_q5_1_q8_1(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_q8_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_q2_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_q3_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_q4_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_q5_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_iq2_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_iq2_xs_q8_K (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_iq2_s_q8_K (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_iq3_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_iq1_s_q8_K (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_iq1_m_q8_K (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_iq4_nl_q8_0 (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_iq4_xs_q8_K (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
void ggml_vec_dot_iq3_s_q8_K (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
// Quantization utilizing an importance matrix (a.k.a. "Activation aWare Quantization")
size_t quantize_iq2_xxs(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_iq2_xs (const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_iq2_s (const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_iq3_xxs(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_iq1_s (const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_iq1_m (const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_iq4_nl (const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_iq4_xs (const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_iq3_s (const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q2_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q3_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q4_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q5_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q6_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q4_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q4_1(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q5_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q5_1(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
size_t quantize_q8_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
void iq2xs_init_impl(enum ggml_type type);
void iq2xs_free_impl(enum ggml_type type);
void iq3xs_init_impl(int grid_size);
void iq3xs_free_impl(int grid_size);
#ifdef __cplusplus
}
#endif

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@ -0,0 +1,49 @@
//
// MIT license
// Copyright (C) 2024 Intel Corporation
// SPDX-License-Identifier: MIT
//
#pragma once
#include "ggml.h"
#include "ggml-backend.h"
#ifdef __cplusplus
extern "C" {
#endif
#define GGML_SYCL_MAX_DEVICES 48
#define GGML_SYCL_NAME "SYCL"
// backend API
GGML_API ggml_backend_t ggml_backend_sycl_init(int device);
// devide buffer
GGML_API ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(int device);
// split tensor buffer that splits matrices by rows across multiple devices
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_sycl_split_buffer_type(const float * tensor_split);
// pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
GGML_API ggml_backend_buffer_type_t ggml_backend_sycl_host_buffer_type(void);
GGML_API void ggml_backend_sycl_print_sycl_devices(void);
GGML_API GGML_CALL void ggml_sycl_get_gpu_list(int *id_list, int max_len);
GGML_API GGML_CALL void ggml_sycl_get_device_description(int device, char *description, size_t description_size);
GGML_API GGML_CALL int ggml_backend_sycl_get_device_count();
GGML_API GGML_CALL void ggml_backend_sycl_get_device_memory(int device, size_t *free, size_t *total);
GGML_API GGML_CALL int ggml_backend_sycl_get_device_index(int device_id);
// TODO: these are temporary
// ref: https://github.com/ggerganov/llama.cpp/pull/6022#issuecomment-1992615670
GGML_API GGML_CALL int ggml_backend_sycl_get_device_id(int device_index);
GGML_API GGML_CALL void ggml_backend_sycl_set_single_device_mode(int main_gpu_id);
GGML_API GGML_CALL void ggml_backend_sycl_set_mul_device_mode();
// SYCL doesn't support registering host memory, keep here for reference
// GGML_API GGML_CALL bool ggml_backend_sycl_register_host_buffer(void * buffer, size_t size);
// GGML_API GGML_CALL void ggml_backend_sycl_unregister_host_buffer(void * buffer);
#ifdef __cplusplus
}
#endif

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@ -0,0 +1,29 @@
#pragma once
#include "ggml.h"
#include "ggml-backend.h"
#ifdef __cplusplus
extern "C" {
#endif
#define GGML_VK_NAME "Vulkan"
#define GGML_VK_MAX_DEVICES 16
GGML_API void ggml_vk_instance_init(void);
// backend API
GGML_API GGML_CALL ggml_backend_t ggml_backend_vk_init(size_t dev_num);
GGML_API GGML_CALL bool ggml_backend_is_vk(ggml_backend_t backend);
GGML_API GGML_CALL int ggml_backend_vk_get_device_count(void);
GGML_API GGML_CALL void ggml_backend_vk_get_device_description(int device, char * description, size_t description_size);
GGML_API GGML_CALL void ggml_backend_vk_get_device_memory(int device, size_t * free, size_t * total);
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(size_t dev_num);
// pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type(void);
#ifdef __cplusplus
}
#endif

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@ -1,17 +0,0 @@
ggml/src/ggml-metal/ggml-metal-embed.o: \
ggml/src/ggml-metal/ggml-metal.metal \
ggml/src/ggml-metal/ggml-metal-impl.h \
ggml/src/ggml-common.h
@echo "Embedding Metal library"
@sed -e '/__embed_ggml-common.h__/r ggml/src/ggml-common.h' -e '/__embed_ggml-common.h__/d' < ggml/src/ggml-metal/ggml-metal.metal > ggml/src/ggml-metal/ggml-metal-embed.metal.tmp
@sed -e '/#include "ggml-metal-impl.h"/r ggml/src/ggml-metal/ggml-metal-impl.h' -e '/#include "ggml-metal-impl.h"/d' < ggml/src/ggml-metal/ggml-metal-embed.metal.tmp > ggml/src/ggml-metal/ggml-metal-embed.metal
$(eval TEMP_ASSEMBLY=$(shell mktemp -d))
@echo ".section __DATA, __ggml_metallib" > $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo ".globl _ggml_metallib_start" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo "_ggml_metallib_start:" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo ".incbin \"ggml/src/ggml-metal/ggml-metal-embed.metal\"" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo ".globl _ggml_metallib_end" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo "_ggml_metallib_end:" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
$(CC) $(CFLAGS) -c $(TEMP_ASSEMBLY)/ggml-metal-embed.s -o $@
@rm -f ${TEMP_ASSEMBLY}/ggml-metal-embed.s
@rmdir ${TEMP_ASSEMBLY}

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@ -1,6 +0,0 @@
ggml/src/ggml-metal/ggml-metal.o: \
ggml/src/ggml-metal/ggml-metal.m \
ggml/src/ggml-metal/ggml-metal-impl.h \
ggml/include/ggml-metal.h \
ggml/include/ggml.h
$(CC) $(CFLAGS) -c $< -o $@

File diff suppressed because it is too large Load Diff

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@ -1,15 +1,8 @@
#ifndef RUBY_WHISPER_H
#define RUBY_WHISPER_H
#ifndef __RUBY_WHISPER_H
#define __RUBY_WHISPER_H
#include "whisper.h"
typedef struct {
VALUE *context;
VALUE user_data;
VALUE callback;
VALUE callbacks;
} ruby_whisper_callback_container;
typedef struct {
struct whisper_context *context;
} ruby_whisper;
@ -17,9 +10,6 @@ typedef struct {
typedef struct {
struct whisper_full_params params;
bool diarize;
ruby_whisper_callback_container *new_segment_callback_container;
ruby_whisper_callback_container *progress_callback_container;
ruby_whisper_callback_container *abort_callback_container;
} ruby_whisper_params;
#endif

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@ -1,6 +0,0 @@
require "yaml"
sources = `git ls-files -z ../..`.split("\x0")
paths = YAML.load_file("../../.github/workflows/bindings-ruby.yml")[true]["push"]["paths"]
paths.delete "bindings/ruby/**"
EXTSOURCES = (Dir.glob(paths, base: "../..").collect {|path| "../../#{path}"} << "../../LICENSE") & sources

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@ -1,163 +0,0 @@
require "uri"
require "net/http"
require "time"
require "pathname"
require "io/console/size"
module Whisper
class Model
class URI
def initialize(uri)
@uri = URI(uri)
end
def to_path
cache
cache_path.to_path
end
def clear_cache
path = cache_path
path.delete if path.exist?
end
private
def cache_path
base_cache_dir/@uri.host/@uri.path[1..]
end
def base_cache_dir
base = case RUBY_PLATFORM
when /mswin|mingw/
ENV.key?("LOCALAPPDATA") ? Pathname(ENV["LOCALAPPDATA"]) : Pathname(Dir.home)/"AppData/Local"
when /darwin/
Pathname(Dir.home)/"Library/Caches"
else
ENV.key?("XDG_CACHE_HOME") ? ENV["XDG_CACHE_HOME"] : Pathname(Dir.home)/".cache"
end
base/"whisper.cpp"
end
def cache
path = cache_path
headers = {}
headers["if-modified-since"] = path.mtime.httpdate if path.exist?
request @uri, headers
path
end
def request(uri, headers)
Net::HTTP.start uri.host, uri.port, use_ssl: uri.scheme == "https" do |http|
request = Net::HTTP::Get.new(uri, headers)
http.request request do |response|
case response
when Net::HTTPNotModified
# noop
when Net::HTTPOK
download response
when Net::HTTPRedirection
request URI(response["location"]), headers
else
return if headers.key?("if-modified-since") # Use cache file
raise "#{response.code} #{response.message}\n#{response.body}"
end
end
end
end
def download(response)
path = cache_path
path.dirname.mkpath unless path.dirname.exist?
downloading_path = Pathname("#{path}.downloading")
size = response.content_length
downloading_path.open "wb" do |file|
downloaded = 0
response.read_body do |chunk|
file << chunk
downloaded += chunk.bytesize
show_progress downloaded, size
end
$stderr.puts
end
downloading_path.rename path
end
def show_progress(current, size)
progress_rate_available = size && $stderr.tty?
unless @prev
@prev = Time.now
$stderr.puts "Downloading #{@uri} to #{cache_path}"
end
now = Time.now
if progress_rate_available
return if now - @prev < 1 && current < size
progress_width = 20
progress = current.to_f / size
arrow_length = progress * progress_width
arrow = "=" * (arrow_length - 1) + ">" + " " * (progress_width - arrow_length)
line = "[#{arrow}] (#{format_bytesize(current)} / #{format_bytesize(size)})"
padding = ' ' * ($stderr.winsize[1] - line.size)
$stderr.print "\r#{line}#{padding}"
else
return if now - @prev < 1
$stderr.print "."
end
@prev = now
end
def format_bytesize(bytesize)
return "0.0 B" if bytesize.zero?
units = %w[B KiB MiB GiB TiB]
exp = (Math.log(bytesize) / Math.log(1024)).to_i
format("%.1f %s", bytesize.to_f / 1024 ** exp, units[exp])
end
end
@pre_converted_models = %w[
tiny
tiny.en
tiny-q5_1
tiny.en-q5_1
tiny-q8_0
base
base.en
base-q5_1
base.en-q5_1
base-q8_0
small
small.en
small.en-tdrz
small-q5_1
small.en-q5_1
small-q8_0
medium
medium.en
medium-q5_0
medium.en-q5_0
medium-q8_0
large-v1
large-v2
large-v2-q5_0
large-v2-q8_0
large-v3
large-v3-q5_0
large-v3-turbo
large-v3-turbo-q5_0
large-v3-turbo-q8_0
].each_with_object({}) {|name, models|
models[name] = URI.new("https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-#{name}.bin")
}
class << self
attr_reader :pre_converted_models
end
end
end

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@ -1,153 +0,0 @@
module Whisper
interface _Samples
def length: () -> Integer
def each: { (Float) -> void } -> void
end
type log_callback = ^(Integer level, String message, Object user_data) -> void
type new_segment_callback = ^(Whisper::Context, void, Integer n_new, Object user_data) -> void
type progress_callback = ^(Whisper::Context, void, Integer progress, Object user_data) -> void
type abort_callback = ^(Whisper::Context, void, Object user_data) -> boolish
LOG_LEVEL_NONE: Integer
LOG_LEVEL_INFO: Integer
LOG_LEVEL_WARN: Integer
LOG_LEVEL_ERROR: Integer
LOG_LEVEL_DEBUG: Integer
LOG_LEVEL_CONT: Integer
def self.lang_max_id: () -> Integer
def self.lang_id: (string name) -> Integer
def self.lang_str: (Integer id) -> String
def self.lang_str_full: (Integer id) -> String
def self.log_set=: (log_callback) -> log_callback
def self.finalize_log_callback: (void) -> void # Second argument of ObjectSpace.define_finalizer
class Context
def initialize: (string | _ToPath | ::URI::HTTP ) -> void
def transcribe: (string, Params) -> void
| (string, Params) { (String) -> void } -> void
def model_n_vocab: () -> Integer
def model_n_audio_ctx: () -> Integer
def model_n_audio_state: () -> Integer
def model_n_text_head: () -> Integer
def model_n_text_layer: () -> Integer
def model_n_mels: () -> Integer
def model_ftype: () -> Integer
def model_type: () -> String
def full_n_segments: () -> Integer
def full_lang_id: () -> Integer
def full_get_segment_t0: (Integer) -> Integer
def full_get_segment_t1: (Integer) -> Integer
def full_get_segment_speaker_turn_next: (Integer) -> (true | false)
def full_get_segment_text: (Integer) -> String
def full_get_segment_no_speech_prob: (Integer) -> Float
def full: (Params, Array[Float], ?Integer) -> void
| (Params, _Samples, ?Integer) -> void
def full_parallel: (Params, Array[Float], ?Integer) -> void
| (Params, _Samples, ?Integer) -> void
| (Params, _Samples, ?Integer?, Integer) -> void
def each_segment: { (Segment) -> void } -> void
| () -> Enumerator[Segment]
def model: () -> Model
end
class Params
def initialize: () -> void
def language=: (String) -> String # TODO: Enumerate lang names
def language: () -> String
def translate=: (boolish) -> boolish
def translate: () -> (true | false)
def no_context=: (boolish) -> boolish
def no_context: () -> (true | false)
def single_segment=: (boolish) -> boolish
def single_segment: () -> (true | false)
def print_special=: (boolish) -> boolish
def print_special: () -> (true | false)
def print_progress=: (boolish) -> boolish
def print_progress: () -> (true | false)
def print_realtime=: (boolish) -> boolish
def print_realtime: () -> (true | false)
def print_timestamps=: (boolish) -> boolish
def print_timestamps: () -> (true | false)
def suppress_blank=: (boolish) -> boolish
def suppress_blank: () -> (true | false)
def suppress_nst=: (boolish) -> boolish
def suppress_nst: () -> (true | false)
def token_timestamps=: (boolish) -> boolish
def token_timestamps: () -> (true | false)
def split_on_word=: (boolish) -> boolish
def split_on_word: () -> (true | false)
def initial_prompt=: (_ToS) -> _ToS
def initial_prompt: () -> String
def diarize=: (boolish) -> boolish
def diarize: () -> (true | false)
def offset=: (Integer) -> Integer
def offset: () -> Integer
def duration=: (Integer) -> Integer
def duration: () -> Integer
def max_text_tokens=: (Integer) -> Integer
def max_text_tokens: () -> Integer
def temperature=: (Float) -> Float
def temperature: () -> Float
def max_initial_ts=: (Float) -> Float
def max_initial_ts: () -> Float
def length_penalty=: (Float) -> Float
def length_penalty: () -> Float
def temperature_inc=: (Float) -> Float
def temperature_inc: () -> Float
def entropy_thold=: (Float) -> Float
def entropy_thold: () -> Float
def logprob_thold=: (Float) -> Float
def logprob_thold: () -> Float
def no_speech_thold=: (Float) -> Float
def no_speech_thold: () -> Float
def new_segment_callback=: (new_segment_callback) -> new_segment_callback
def new_segment_callback_user_data=: (Object) -> Object
def progress_callback=: (progress_callback) -> progress_callback
def progress_callback_user_data=: (Object) -> Object
def abort_callback=: (abort_callback) -> abort_callback
def abort_callback_user_data=: (Object) -> Object
def on_new_segment: { (Segment) -> void } -> void
def on_progress: { (Integer) -> void } -> void
def abort_on: { (Object) -> boolish } -> void
end
class Model
def self.pre_converted_models: () -> Hash[String, Model::URI]
def initialize: () -> void
def n_vocab: () -> Integer
def n_audio_ctx: () -> Integer
def n_audio_state: () -> Integer
def n_audio_head: () -> Integer
def n_audio_layer: () -> Integer
def n_text_ctx: () -> Integer
def n_text_state: () -> Integer
def n_text_head: () -> Integer
def n_text_layer: () -> Integer
def n_mels: () -> Integer
def ftype: () -> Integer
def type: () -> String
class URI
def initialize: (string | ::URI::HTTP) -> void
def to_path: -> String
def clear_cache: -> void
end
end
class Segment
def initialize: () -> void
def start_time: () -> Integer
def end_time: () -> Integer
def speaker_next_turn?: () -> (true | false)
def text: () -> String
def no_speech_prob: () -> Float
end
class Error < StandardError
attr_reader code: Integer
def initialize: (Integer) -> void
end
end

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@ -1,24 +0,0 @@
require "test/unit"
require "whisper"
require_relative "jfk_reader/jfk_reader"
class TestBase < Test::Unit::TestCase
AUDIO = File.join(__dir__, "..", "..", "..", "samples", "jfk.wav")
class << self
attr_reader :whisper
def startup
@whisper = Whisper::Context.new("base.en")
params = Whisper::Params.new
params.print_timestamps = false
@whisper.transcribe(TestBase::AUDIO, params)
end
end
private
def whisper
self.class.whisper
end
end

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@ -1,5 +0,0 @@
Makefile
jfk_reader.o
jfk_reader.so
jfk_reader.bundle
jfk_reader.dll

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@ -1,3 +0,0 @@
require "mkmf"
create_makefile("jfk_reader")

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@ -1,68 +0,0 @@
#include <ruby.h>
#include <ruby/memory_view.h>
#include <ruby/encoding.h>
static VALUE
jfk_reader_initialize(VALUE self, VALUE audio_path)
{
rb_iv_set(self, "audio_path", audio_path);
return Qnil;
}
static bool
jfk_reader_get_memory_view(const VALUE obj, rb_memory_view_t *view, int flags)
{
VALUE audio_path = rb_iv_get(obj, "audio_path");
const char *audio_path_str = StringValueCStr(audio_path);
const int n_samples = 176000;
float *data = (float *)malloc(n_samples * sizeof(float));
short *samples = (short *)malloc(n_samples * sizeof(short));
FILE *file = fopen(audio_path_str, "rb");
fseek(file, 78, SEEK_SET);
fread(samples, sizeof(short), n_samples, file);
fclose(file);
for (int i = 0; i < n_samples; i++) {
data[i] = samples[i]/32768.0;
}
view->obj = obj;
view->data = (void *)data;
view->byte_size = sizeof(float) * n_samples;
view->readonly = true;
view->format = "f";
view->item_size = sizeof(float);
view->item_desc.components = NULL;
view->item_desc.length = 0;
view->ndim = 1;
view->shape = NULL;
view->sub_offsets = NULL;
view->private_data = NULL;
return true;
}
static bool
jfk_reader_release_memory_view(const VALUE obj, rb_memory_view_t *view)
{
return true;
}
static bool
jfk_reader_memory_view_available_p(const VALUE obj)
{
return true;
}
static const rb_memory_view_entry_t jfk_reader_view_entry = {
jfk_reader_get_memory_view,
jfk_reader_release_memory_view,
jfk_reader_memory_view_available_p
};
void Init_jfk_reader(void)
{
VALUE cJFKReader = rb_define_class("JFKReader", rb_cObject);
rb_memory_view_register(cJFKReader, &jfk_reader_view_entry);
rb_define_method(cJFKReader, "initialize", jfk_reader_initialize, 1);
}

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require_relative "helper"
class TestCallback < TestBase
def setup
GC.start
@params = Whisper::Params.new
@whisper = Whisper::Context.new("base.en")
@audio = File.join(AUDIO)
end
def test_new_segment_callback
@params.new_segment_callback = ->(context, state, n_new, user_data) {
assert_kind_of Integer, n_new
assert n_new > 0
assert_same @whisper, context
n_segments = context.full_n_segments
n_new.times do |i|
i_segment = n_segments - 1 + i
start_time = context.full_get_segment_t0(i_segment) * 10
end_time = context.full_get_segment_t1(i_segment) * 10
text = context.full_get_segment_text(i_segment)
assert_kind_of Integer, start_time
assert start_time >= 0
assert_kind_of Integer, end_time
assert end_time > 0
assert_match /ask not what your country can do for you, ask what you can do for your country/, text if i_segment == 0
end
}
@whisper.transcribe(@audio, @params)
end
def test_new_segment_callback_closure
search_word = "what"
@params.new_segment_callback = ->(context, state, n_new, user_data) {
n_segments = context.full_n_segments
n_new.times do |i|
i_segment = n_segments - 1 + i
text = context.full_get_segment_text(i_segment)
if text.include?(search_word)
t0 = context.full_get_segment_t0(i_segment)
t1 = context.full_get_segment_t1(i_segment)
raise "search word '#{search_word}' found at between #{t0} and #{t1}"
end
end
}
assert_raise RuntimeError do
@whisper.transcribe(@audio, @params)
end
end
def test_new_segment_callback_user_data
udata = Object.new
@params.new_segment_callback_user_data = udata
@params.new_segment_callback = ->(context, state, n_new, user_data) {
assert_same udata, user_data
}
@whisper.transcribe(@audio, @params)
end
def test_new_segment_callback_user_data_gc
@params.new_segment_callback_user_data = "My user data"
@params.new_segment_callback = ->(context, state, n_new, user_data) {
assert_equal "My user data", user_data
}
GC.start
assert_same @whisper, @whisper.transcribe(@audio, @params)
end
def test_progress_callback
first = nil
last = nil
@params.progress_callback = ->(context, state, progress, user_data) {
assert_kind_of Integer, progress
assert 0 <= progress && progress <= 100
assert_same @whisper, context
first = progress if first.nil?
last = progress
}
@whisper.transcribe(@audio, @params)
assert_equal 0, first
assert_equal 100, last
end
def test_progress_callback_user_data
udata = Object.new
@params.progress_callback_user_data = udata
@params.progress_callback = ->(context, state, n_new, user_data) {
assert_same udata, user_data
}
@whisper.transcribe(@audio, @params)
end
def test_on_progress
first = nil
last = nil
@params.on_progress do |progress|
assert_kind_of Integer, progress
assert 0 <= progress && progress <= 100
first = progress if first.nil?
last = progress
end
@whisper.transcribe(@audio, @params)
assert_equal 0, first
assert_equal 100, last
end
def test_abort_callback
i = 0
@params.abort_callback = ->(user_data) {
assert_nil user_data
i += 1
return false
}
@whisper.transcribe(@audio, @params)
assert i > 0
end
def test_abort_callback_abort
i = 0
@params.abort_callback = ->(user_data) {
i += 1
return i == 3
}
@whisper.transcribe(@audio, @params)
assert_equal 3, i
end
def test_abort_callback_user_data
udata = Object.new
@params.abort_callback_user_data = udata
yielded = nil
@params.abort_callback = ->(user_data) {
yielded = user_data
}
@whisper.transcribe(@audio, @params)
assert_same udata, yielded
end
def test_abort_on
do_abort = false
aborted_from_callback = false
@params.on_new_segment do |segment|
do_abort = true if segment.text.match? /ask/
end
i = 0
@params.abort_on do
i += 1
do_abort
end
@whisper.transcribe(@audio, @params)
assert i > 0
end
end

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require_relative "helper"
class TestError < TestBase
def test_error
error = Whisper::Error.new(-2)
assert_equal "failed to compute log mel spectrogram", error.message
assert_equal -2, error.code
end
def test_unknown_error
error = Whisper::Error.new(-20)
assert_equal "unknown error", error.message
end
def test_non_int_code
assert_raise TypeError do
error = Whisper::Error.new("non int")
end
end
end

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require_relative "helper"
require "pathname"
class TestModel < TestBase
def test_model
whisper = Whisper::Context.new("base.en")
assert_instance_of Whisper::Model, whisper.model
end
def test_attributes
whisper = Whisper::Context.new("base.en")
model = whisper.model
assert_equal 51864, model.n_vocab
assert_equal 1500, model.n_audio_ctx
assert_equal 512, model.n_audio_state
assert_equal 8, model.n_audio_head
assert_equal 6, model.n_audio_layer
assert_equal 448, model.n_text_ctx
assert_equal 512, model.n_text_state
assert_equal 8, model.n_text_head
assert_equal 6, model.n_text_layer
assert_equal 80, model.n_mels
assert_equal 1, model.ftype
assert_equal "base", model.type
end
def test_gc
model = Whisper::Context.new("base.en").model
GC.start
assert_equal 51864, model.n_vocab
assert_equal 1500, model.n_audio_ctx
assert_equal 512, model.n_audio_state
assert_equal 8, model.n_audio_head
assert_equal 6, model.n_audio_layer
assert_equal 448, model.n_text_ctx
assert_equal 512, model.n_text_state
assert_equal 8, model.n_text_head
assert_equal 6, model.n_text_layer
assert_equal 80, model.n_mels
assert_equal 1, model.ftype
assert_equal "base", model.type
end
def test_pathname
path = Pathname(Whisper::Model.pre_converted_models["base.en"].to_path)
whisper = Whisper::Context.new(path)
model = whisper.model
assert_equal 51864, model.n_vocab
assert_equal 1500, model.n_audio_ctx
assert_equal 512, model.n_audio_state
assert_equal 8, model.n_audio_head
assert_equal 6, model.n_audio_layer
assert_equal 448, model.n_text_ctx
assert_equal 512, model.n_text_state
assert_equal 8, model.n_text_head
assert_equal 6, model.n_text_layer
assert_equal 80, model.n_mels
assert_equal 1, model.ftype
assert_equal "base", model.type
end
def test_auto_download
path = Whisper::Model.pre_converted_models["base.en"].to_path
assert_path_exist path
assert_equal 147964211, File.size(path)
end
def test_uri_string
path = "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin"
whisper = Whisper::Context.new(path)
model = whisper.model
assert_equal 51864, model.n_vocab
assert_equal 1500, model.n_audio_ctx
assert_equal 512, model.n_audio_state
assert_equal 8, model.n_audio_head
assert_equal 6, model.n_audio_layer
assert_equal 448, model.n_text_ctx
assert_equal 512, model.n_text_state
assert_equal 8, model.n_text_head
assert_equal 6, model.n_text_layer
assert_equal 80, model.n_mels
assert_equal 1, model.ftype
assert_equal "base", model.type
end
def test_uri
path = URI("https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin")
whisper = Whisper::Context.new(path)
model = whisper.model
assert_equal 51864, model.n_vocab
assert_equal 1500, model.n_audio_ctx
assert_equal 512, model.n_audio_state
assert_equal 8, model.n_audio_head
assert_equal 6, model.n_audio_layer
assert_equal 448, model.n_text_ctx
assert_equal 512, model.n_text_state
assert_equal 8, model.n_text_head
assert_equal 6, model.n_text_layer
assert_equal 80, model.n_mels
assert_equal 1, model.ftype
assert_equal "base", model.type
end
end

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require_relative "helper"
require 'tempfile'
require 'tmpdir'
require 'shellwords'
class TestPackage < TestBase
def test_build
Tempfile.create do |file|
assert system("gem", "build", "whispercpp.gemspec", "--output", file.to_path.shellescape, exception: true)
assert file.size > 0
assert_path_exist file.to_path
end
end
sub_test_case "Building binary on installation" do
def setup
system "rake", "build", exception: true
end
def test_install
match_data = `rake -Tbuild`.match(/(whispercpp-(.+)\.gem)/)
filename = match_data[1]
version = match_data[2]
basename = "whisper.#{RbConfig::CONFIG["DLEXT"]}"
Dir.mktmpdir do |dir|
system "gem", "install", "--install-dir", dir.shellescape, "--no-document", "pkg/#{filename.shellescape}", exception: true
assert_path_exist File.join(dir, "gems/whispercpp-#{version}/lib", basename)
end
end
end
end

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require_relative "helper"
class TestParams < TestBase
def setup
@params = Whisper::Params.new
end
def test_language
@params.language = "en"
assert_equal @params.language, "en"
@params.language = "auto"
assert_equal @params.language, "auto"
end
def test_offset
@params.offset = 10_000
assert_equal @params.offset, 10_000
@params.offset = 0
assert_equal @params.offset, 0
end
def test_duration
@params.duration = 60_000
assert_equal @params.duration, 60_000
@params.duration = 0
assert_equal @params.duration, 0
end
def test_max_text_tokens
@params.max_text_tokens = 300
assert_equal @params.max_text_tokens, 300
@params.max_text_tokens = 0
assert_equal @params.max_text_tokens, 0
end
def test_translate
@params.translate = true
assert @params.translate
@params.translate = false
assert !@params.translate
end
def test_no_context
@params.no_context = true
assert @params.no_context
@params.no_context = false
assert !@params.no_context
end
def test_single_segment
@params.single_segment = true
assert @params.single_segment
@params.single_segment = false
assert !@params.single_segment
end
def test_print_special
@params.print_special = true
assert @params.print_special
@params.print_special = false
assert !@params.print_special
end
def test_print_progress
@params.print_progress = true
assert @params.print_progress
@params.print_progress = false
assert !@params.print_progress
end
def test_print_realtime
@params.print_realtime = true
assert @params.print_realtime
@params.print_realtime = false
assert !@params.print_realtime
end
def test_print_timestamps
@params.print_timestamps = true
assert @params.print_timestamps
@params.print_timestamps = false
assert !@params.print_timestamps
end
def test_suppress_blank
@params.suppress_blank = true
assert @params.suppress_blank
@params.suppress_blank = false
assert !@params.suppress_blank
end
def test_suppress_nst
@params.suppress_nst = true
assert @params.suppress_nst
@params.suppress_nst = false
assert !@params.suppress_nst
end
def test_token_timestamps
@params.token_timestamps = true
assert @params.token_timestamps
@params.token_timestamps = false
assert !@params.token_timestamps
end
def test_split_on_word
@params.split_on_word = true
assert @params.split_on_word
@params.split_on_word = false
assert !@params.split_on_word
end
def test_initial_prompt
assert_nil @params.initial_prompt
@params.initial_prompt = "You are a polite person."
assert_equal "You are a polite person.", @params.initial_prompt
end
def test_temperature
assert_equal 0.0, @params.temperature
@params.temperature = 0.5
assert_equal 0.5, @params.temperature
end
def test_max_initial_ts
assert_equal 1.0, @params.max_initial_ts
@params.max_initial_ts = 600.0
assert_equal 600.0, @params.max_initial_ts
end
def test_length_penalty
assert_equal -1.0, @params.length_penalty
@params.length_penalty = 0.5
assert_equal 0.5, @params.length_penalty
end
def test_temperature_inc
assert_in_delta 0.2, @params.temperature_inc
@params.temperature_inc = 0.5
assert_in_delta 0.5, @params.temperature_inc
end
def test_entropy_thold
assert_in_delta 2.4, @params.entropy_thold
@params.entropy_thold = 3.0
assert_in_delta 3.0, @params.entropy_thold
end
def test_logprob_thold
assert_in_delta -1.0, @params.logprob_thold
@params.logprob_thold = -0.5
assert_in_delta -0.5, @params.logprob_thold
end
def test_no_speech_thold
assert_in_delta 0.6, @params.no_speech_thold
@params.no_speech_thold = 0.2
assert_in_delta 0.2, @params.no_speech_thold
end
end

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@ -1,74 +0,0 @@
require_relative "helper"
class TestSegment < TestBase
def test_iteration
whisper.each_segment do |segment|
assert_instance_of Whisper::Segment, segment
end
end
def test_enumerator
enum = whisper.each_segment
assert_instance_of Enumerator, enum
enum.to_a.each_with_index do |segment, index|
assert_instance_of Whisper::Segment, segment
assert_kind_of Integer, index
end
end
def test_start_time
i = 0
whisper.each_segment do |segment|
assert_equal 0, segment.start_time if i == 0
i += 1
end
end
def test_end_time
i = 0
whisper.each_segment do |segment|
assert_equal whisper.full_get_segment_t1(i) * 10, segment.end_time
i += 1
end
end
def test_no_speech_prob
no_speech_prob = nil
whisper.each_segment do |segment|
no_speech_prob = segment.no_speech_prob
end
assert no_speech_prob > 0.0
end
def test_on_new_segment
params = Whisper::Params.new
seg = nil
index = 0
params.on_new_segment do |segment|
assert_instance_of Whisper::Segment, segment
if index == 0
seg = segment
assert_equal 0, segment.start_time
assert_match /ask not what your country can do for you, ask what you can do for your country/, segment.text
end
index += 1
end
whisper.transcribe(AUDIO, params)
assert_equal 0, seg.start_time
assert_match /ask not what your country can do for you, ask what you can do for your country/, seg.text
end
def test_on_new_segment_twice
params = Whisper::Params.new
seg = nil
params.on_new_segment do |segment|
seg = segment
return
end
params.on_new_segment do |segment|
assert_same seg, segment
return
end
whisper.transcribe(AUDIO, params)
end
end

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@ -1,217 +1,131 @@
require_relative "helper"
require "stringio"
require "etc"
TOPDIR = File.expand_path(File.join(File.dirname(__FILE__), '..'))
EXTDIR = File.join(TOPDIR, 'ext')
#$LIBDIR = File.join(TOPDIR, 'lib')
#$:.unshift(LIBDIR)
$:.unshift(EXTDIR)
# Exists to detect memory-related bug
Whisper.log_set ->(level, buffer, user_data) {}, nil
require 'whisper'
require 'test/unit'
class TestWhisper < TestBase
class TestWhisper < Test::Unit::TestCase
def setup
@params = Whisper::Params.new
end
def test_language
@params.language = "en"
assert_equal @params.language, "en"
@params.language = "auto"
assert_equal @params.language, "auto"
end
def test_offset
@params.offset = 10_000
assert_equal @params.offset, 10_000
@params.offset = 0
assert_equal @params.offset, 0
end
def test_duration
@params.duration = 60_000
assert_equal @params.duration, 60_000
@params.duration = 0
assert_equal @params.duration, 0
end
def test_max_text_tokens
@params.max_text_tokens = 300
assert_equal @params.max_text_tokens, 300
@params.max_text_tokens = 0
assert_equal @params.max_text_tokens, 0
end
def test_translate
@params.translate = true
assert @params.translate
@params.translate = false
assert !@params.translate
end
def test_no_context
@params.no_context = true
assert @params.no_context
@params.no_context = false
assert !@params.no_context
end
def test_single_segment
@params.single_segment = true
assert @params.single_segment
@params.single_segment = false
assert !@params.single_segment
end
def test_print_special
@params.print_special = true
assert @params.print_special
@params.print_special = false
assert !@params.print_special
end
def test_print_progress
@params.print_progress = true
assert @params.print_progress
@params.print_progress = false
assert !@params.print_progress
end
def test_print_realtime
@params.print_realtime = true
assert @params.print_realtime
@params.print_realtime = false
assert !@params.print_realtime
end
def test_print_timestamps
@params.print_timestamps = true
assert @params.print_timestamps
@params.print_timestamps = false
assert !@params.print_timestamps
end
def test_suppress_blank
@params.suppress_blank = true
assert @params.suppress_blank
@params.suppress_blank = false
assert !@params.suppress_blank
end
def test_suppress_non_speech_tokens
@params.suppress_non_speech_tokens = true
assert @params.suppress_non_speech_tokens
@params.suppress_non_speech_tokens = false
assert !@params.suppress_non_speech_tokens
end
def test_token_timestamps
@params.token_timestamps = true
assert @params.token_timestamps
@params.token_timestamps = false
assert !@params.token_timestamps
end
def test_split_on_word
@params.split_on_word = true
assert @params.split_on_word
@params.split_on_word = false
assert !@params.split_on_word
end
def test_whisper
@whisper = Whisper::Context.new("base.en")
@whisper = Whisper::Context.new(File.join(TOPDIR, '..', '..', 'models', 'ggml-base.en.bin'))
params = Whisper::Params.new
params.print_timestamps = false
@whisper.transcribe(AUDIO, params) {|text|
jfk = File.join(TOPDIR, '..', '..', 'samples', 'jfk.wav')
@whisper.transcribe(jfk, params) {|text|
assert_match /ask not what your country can do for you, ask what you can do for your country/, text
}
end
sub_test_case "After transcription" do
def test_full_n_segments
assert_equal 1, whisper.full_n_segments
end
def test_full_lang_id
assert_equal 0, whisper.full_lang_id
end
def test_full_get_segment_t0
assert_equal 0, whisper.full_get_segment_t0(0)
assert_raise IndexError do
whisper.full_get_segment_t0(whisper.full_n_segments)
end
assert_raise IndexError do
whisper.full_get_segment_t0(-1)
end
end
def test_full_get_segment_t1
t1 = whisper.full_get_segment_t1(0)
assert_kind_of Integer, t1
assert t1 > 0
assert_raise IndexError do
whisper.full_get_segment_t1(whisper.full_n_segments)
end
end
def test_full_get_segment_speaker_turn_next
assert_false whisper.full_get_segment_speaker_turn_next(0)
end
def test_full_get_segment_text
assert_match /ask not what your country can do for you, ask what you can do for your country/, whisper.full_get_segment_text(0)
end
def test_full_get_segment_no_speech_prob
prob = whisper.full_get_segment_no_speech_prob(0)
assert prob > 0.0
assert prob < 1.0
end
end
def test_lang_max_id
assert_kind_of Integer, Whisper.lang_max_id
end
def test_lang_id
assert_equal 0, Whisper.lang_id("en")
assert_raise ArgumentError do
Whisper.lang_id("non existing language")
end
end
def test_lang_str
assert_equal "en", Whisper.lang_str(0)
assert_raise IndexError do
Whisper.lang_str(Whisper.lang_max_id + 1)
end
end
def test_lang_str_full
assert_equal "english", Whisper.lang_str_full(0)
assert_raise IndexError do
Whisper.lang_str_full(Whisper.lang_max_id + 1)
end
end
def test_log_set
user_data = Object.new
logs = []
log_callback = ->(level, buffer, udata) {
logs << [level, buffer, udata]
}
Whisper.log_set log_callback, user_data
Whisper::Context.new("base.en")
assert logs.length > 30
logs.each do |log|
assert_include [Whisper::LOG_LEVEL_DEBUG, Whisper::LOG_LEVEL_INFO, Whisper::LOG_LEVEL_WARN], log[0]
assert_same user_data, log[2]
end
end
def test_log_suppress
stderr = $stderr
Whisper.log_set ->(level, buffer, user_data) {
# do nothing
}, nil
dev = StringIO.new("")
$stderr = dev
Whisper::Context.new("base.en")
assert_empty dev.string
ensure
$stderr = stderr
end
sub_test_case "full" do
def setup
super
@whisper = Whisper::Context.new("base.en")
@samples = File.read(AUDIO, nil, 78).unpack("s<*").collect {|i| i.to_f / 2**15}
end
def test_full
@whisper.full(@params, @samples, @samples.length)
assert_equal 1, @whisper.full_n_segments
assert_match /ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text
end
def test_full_without_length
@whisper.full(@params, @samples)
assert_equal 1, @whisper.full_n_segments
assert_match /ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text
end
def test_full_enumerator
samples = @samples.each
@whisper.full(@params, samples, @samples.length)
assert_equal 1, @whisper.full_n_segments
assert_match /ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text
end
def test_full_enumerator_without_length
samples = @samples.each
assert_raise ArgumentError do
@whisper.full(@params, samples)
end
end
def test_full_enumerator_with_too_large_length
samples = @samples.each.take(10).to_enum
assert_raise StopIteration do
@whisper.full(@params, samples, 11)
end
end
def test_full_with_memory_view
samples = JFKReader.new(AUDIO)
@whisper.full(@params, samples)
assert_equal 1, @whisper.full_n_segments
assert_match /ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text
end
def test_full_parallel
@whisper.full_parallel(@params, @samples, @samples.length, Etc.nprocessors)
assert_equal Etc.nprocessors, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
end
def test_full_parallel_with_memory_view
samples = JFKReader.new(AUDIO)
@whisper.full_parallel(@params, samples, nil, Etc.nprocessors)
assert_equal Etc.nprocessors, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
end
def test_full_parallel_without_length_and_n_processors
@whisper.full_parallel(@params, @samples)
assert_equal 1, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
end
def test_full_parallel_without_length
@whisper.full_parallel(@params, @samples, nil, Etc.nprocessors)
assert_equal Etc.nprocessors, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
end
def test_full_parallel_without_n_processors
@whisper.full_parallel(@params, @samples, @samples.length)
assert_equal 1, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
end
end
end

View File

@ -1,36 +1,28 @@
require_relative "extsources"
Gem::Specification.new do |s|
s.name = "whispercpp"
s.authors = ["Georgi Gerganov", "Todd A. Fisher"]
s.version = '1.3.1'
s.date = '2024-12-19'
s.version = '1.3.0'
s.date = '2024-05-14'
s.description = %q{High-performance inference of OpenAI's Whisper automatic speech recognition (ASR) model via Ruby}
s.email = 'todd.fisher@gmail.com'
s.extra_rdoc_files = ['LICENSE', 'README.md']
s.files = ["LICENSE", "README.md", "Rakefile", "ext/extconf.rb", "ext/ggml.c", "ext/ruby_whisper.cpp", "ext/whisper.cpp", "ext/dr_wav.h", "ext/ggml.h", "ext/ruby_whisper.h", "ext/whisper.h"]
s.files = `git ls-files . -z`.split("\x0") +
EXTSOURCES.collect {|file|
basename = File.basename(file)
if s.extra_rdoc_files.include?(basename)
basename
else
file.sub("../..", "ext")
end
}
#### Load-time details
s.require_paths = ['lib','ext']
s.summary = %q{Ruby whisper.cpp bindings}
s.test_files = s.files.select {|file| file.start_with? "tests/"}
s.test_files = ["tests/test_whisper.rb"]
s.extensions << 'ext/extconf.rb'
s.required_ruby_version = '>= 3.1.0'
#### Documentation and testing.
s.homepage = 'https://github.com/ggerganov/whisper.cpp'
s.rdoc_options = ['--main', 'README.md']
s.rdoc_options = ['--main', '../../README.md']
s.platform = Gem::Platform::RUBY
s.licenses = ['MIT']
end

54
cmake/BuildTypes.cmake Normal file
View File

@ -0,0 +1,54 @@
# Add new build types
# ReleaseGG - Release with enabled asserts
SET(CMAKE_CXX_FLAGS_RELEASEGG
"-O3"
CACHE STRING "Flags used by the c++ compiler during release builds with enabled asserts."
FORCE )
SET(CMAKE_C_FLAGS_RELEASEGG
"-O3"
CACHE STRING "Flags used by the compiler during release builds with enabled asserts."
FORCE )
SET(CMAKE_EXE_LINKER_FLAGS_RELEASEGG
""
CACHE STRING "Flags used for linking binaries during release builds with enabled asserts."
FORCE )
SET(CMAKE_SHARED_LINKER_FLAGS_RELEASEGG
""
CACHE STRING "Flags used by the shared libraries linker during release builds with enabled asserts."
FORCE )
MARK_AS_ADVANCED(
CMAKE_CXX_FLAGS_RELEASEGG
CMAKE_C_FLAGS_RELEASEGG
CMAKE_EXE_LINKER_FLAGS_RELEASEGG
CMAKE_SHARED_LINKER_FLAGS_RELEASEGG )
# RelWithDebInfoGG - RelWithDebInfo with enabled asserts
SET(CMAKE_CXX_FLAGS_RELWITHDEBINFOGG
"-O2 -g"
CACHE STRING "Flags used by the c++ compiler during release builds with debug symbols and enabled asserts."
FORCE )
SET(CMAKE_C_FLAGS_RELWITHDEBINFOGG
"-O2 -g"
CACHE STRING "Flags used by the compiler during release builds with debug symbols and enabled asserts."
FORCE )
SET(CMAKE_EXE_LINKER_FLAGS_RELWITHDEBINFOGG
""
CACHE STRING "Flags used for linking binaries during release builds with debug symbols and enabled asserts."
FORCE )
SET(CMAKE_SHARED_LINKER_FLAGS_RELWITHDEBINFOGG
""
CACHE STRING "Flags used by the shared libraries linker during release builds with debug symbols and enabled asserts."
FORCE )
MARK_AS_ADVANCED(
CMAKE_CXX_FLAGS_RELWITHDEBINFOGG
CMAKE_C_FLAGS_RELWITHDEBINFOGG
CMAKE_EXE_LINKER_FLAGS_RELWITHDEBINFOGG
CMAKE_SHARED_LINKER_FLAGS_RELWITHDEBINFOGG )
if (NOT XCODE AND NOT MSVC AND NOT CMAKE_BUILD_TYPE)
set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "MinSizeRel" "RelWithDebInfo" "ReleaseGG" "RelWithDebInfoGG")
endif()

View File

@ -13,4 +13,5 @@ set_target_properties(${TARGET}
PROPERTIES
EXPORT_COMPILE_COMMANDS ON
RUNTIME_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/bin"
INSTALL_RPATH "${CMAKE_INSTALL_PREFIX}/lib"
)

View File

@ -36,7 +36,7 @@ include(FindPackageHandleStandardArgs)
# The default components were taken from a survey over other FindFFMPEG.cmake files
if (NOT FFmpeg_FIND_COMPONENTS)
set(FFmpeg_FIND_COMPONENTS AVFORMAT AVCODEC AVUTIL SWRESAMPLE)
set(FFmpeg_FIND_COMPONENTS AVFORMAT AVCODEC AVUTIL SWRESAMPLE)
endif()
#
@ -84,7 +84,7 @@ macro(find_component _component _pkgconfig _library _header)
# CMake's default is to search first for shared libraries and then for static libraries.
# Todo later: add option to prefer static libs over dynamic:
find_library(${_component}_LIBRARIES NAMES ${_library} lib${_library}.a
find_library(${_component}_LIBRARIES NAMES ${_library} lib${_library}.a
HINTS
${PC_${_component}_LIBDIR}
${PC_${_component}_LIBRARY_DIRS}

View File

@ -1,58 +0,0 @@
set(BUILD_NUMBER 0)
set(BUILD_COMMIT "unknown")
set(BUILD_COMPILER "unknown")
set(BUILD_TARGET "unknown")
# Look for git
find_package(Git)
if(NOT Git_FOUND)
find_program(GIT_EXECUTABLE NAMES git git.exe)
if(GIT_EXECUTABLE)
set(Git_FOUND TRUE)
message(STATUS "Found Git: ${GIT_EXECUTABLE}")
else()
message(WARNING "Git not found. Build info will not be accurate.")
endif()
endif()
# Get the commit count and hash
if(Git_FOUND)
execute_process(
COMMAND ${GIT_EXECUTABLE} rev-parse --short HEAD
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
OUTPUT_VARIABLE HEAD
OUTPUT_STRIP_TRAILING_WHITESPACE
RESULT_VARIABLE RES
)
if (RES EQUAL 0)
set(BUILD_COMMIT ${HEAD})
endif()
execute_process(
COMMAND ${GIT_EXECUTABLE} rev-list --count HEAD
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
OUTPUT_VARIABLE COUNT
OUTPUT_STRIP_TRAILING_WHITESPACE
RESULT_VARIABLE RES
)
if (RES EQUAL 0)
set(BUILD_NUMBER ${COUNT})
endif()
endif()
if(MSVC)
set(BUILD_COMPILER "${CMAKE_C_COMPILER_ID} ${CMAKE_C_COMPILER_VERSION}")
set(BUILD_TARGET ${CMAKE_VS_PLATFORM_NAME})
else()
execute_process(
COMMAND sh -c "$@ --version | head -1" _ ${CMAKE_C_COMPILER}
OUTPUT_VARIABLE OUT
OUTPUT_STRIP_TRAILING_WHITESPACE
)
set(BUILD_COMPILER ${OUT})
execute_process(
COMMAND ${CMAKE_C_COMPILER} -dumpmachine
OUTPUT_VARIABLE OUT
OUTPUT_STRIP_TRAILING_WHITESPACE
)
set(BUILD_TARGET ${OUT})
endif()

View File

@ -1,65 +0,0 @@
set(WHISPER_VERSION @WHISPER_INSTALL_VERSION@)
set(WHISPER_BUILD_COMMIT @WHISPER_BUILD_COMMIT@)
set(WHISPER_BUILD_NUMBER @WHISPER_BUILD_NUMBER@)
set(WHISPER_SHARED_LIB @BUILD_SHARED_LIBS@)
set(GGML_BLAS @GGML_BLAS@)
set(GGML_CUDA @GGML_CUDA@)
set(GGML_METAL @GGML_METAL@)
set(GGML_HIPBLAS @GGML_HIPBLAS@)
set(GGML_ACCELERATE @GGML_ACCELERATE@)
@PACKAGE_INIT@
set_and_check(WHISPER_INCLUDE_DIR "@PACKAGE_WHISPER_INCLUDE_INSTALL_DIR@")
set_and_check(WHISPER_LIB_DIR "@PACKAGE_WHISPER_LIB_INSTALL_DIR@")
set_and_check(WHISPER_BIN_DIR "@PACKAGE_WHISPER_BIN_INSTALL_DIR@")
# Ensure transient dependencies satisfied
find_package(Threads REQUIRED)
if (APPLE AND GGML_ACCELERATE)
find_library(ACCELERATE_FRAMEWORK Accelerate REQUIRED)
endif()
if (GGML_BLAS)
find_package(BLAS REQUIRED)
endif()
if (GGML_CUDA)
find_package(CUDAToolkit REQUIRED)
endif()
if (GGML_METAL)
find_library(FOUNDATION_LIBRARY Foundation REQUIRED)
find_library(METAL_FRAMEWORK Metal REQUIRED)
find_library(METALKIT_FRAMEWORK MetalKit REQUIRED)
endif()
if (GGML_HIPBLAS)
find_package(hip REQUIRED)
find_package(hipblas REQUIRED)
find_package(rocblas REQUIRED)
endif()
find_library(whisper_LIBRARY whisper
REQUIRED
HINTS ${WHISPER_LIB_DIR})
set(_whisper_link_deps "Threads::Threads" "@WHISPER_EXTRA_LIBS@")
set(_whisper_transient_defines "@WHISPER_TRANSIENT_DEFINES@")
add_library(whisper UNKNOWN IMPORTED)
set_target_properties(whisper
PROPERTIES
INTERFACE_INCLUDE_DIRECTORIES "${WHISPER_INCLUDE_DIR}"
INTERFACE_LINK_LIBRARIES "${_whisper_link_deps}"
INTERFACE_COMPILE_DEFINITIONS "${_whisper_transient_defines}"
IMPORTED_LINK_INTERFACE_LANGUAGES "CXX"
IMPORTED_LOCATION "${whisper_LIBRARY}"
INTERFACE_COMPILE_FEATURES cxx_std_11
POSITION_INDEPENDENT_CODE ON )
check_required_components(whisper)

View File

@ -1,10 +0,0 @@
prefix=@CMAKE_INSTALL_PREFIX@
exec_prefix=${prefix}
libdir=${exec_prefix}/lib
includedir=${prefix}/include
Name: whisper
Description: Port of OpenAI's Whisper model in C/C++
Version: @PROJECT_VERSION@
Libs: -L${libdir} -lggml -lggml-base -lwhisper
Cflags: -I${includedir}

View File

@ -11,7 +11,7 @@ if (WHISPER_SDL2)
string(STRIP "${SDL2_LIBRARIES}" SDL2_LIBRARIES)
message(STATUS "SDL2_INCLUDE_DIRS = ${SDL2_INCLUDE_DIRS}")
message(STATUS "SDL2_LIBRARIES = ${SDL2_LIBRARIES}")
message(STATUS "SDL2_LIBRARIES = ${SDL2_LIBRARIES}")
endif()
if (WHISPER_CLBLAST)
@ -22,35 +22,10 @@ endif()
set(TARGET common)
unset(COMMON_EXTRA_LIBS)
if (WHISPER_FFMPEG)
# As of cmake 3.27, there is no official cmake support for FindFFmpeg.
# Consequnelty we added a FindFFmpeg.cmake script the cmake subfolder:
# whisper.cpp does not need the full ffmpeg libs, just AVFORMAT AVCODEC AVUTIL SWRESAMPLE
# libswresample performs highly optimized audio resampling, rematrixing and sample format conversion operations
# libavcodec provides a generic encoding/decoding framework and contains multiple decoders and encoders for audio, video and subtitle streams, and several bitstream filters.
# libavformat provides a generic framework for multiplexing and demultiplexing (muxing and demuxing) audio, video and subtitle streams.
find_package(FFmpeg REQUIRED)
if (NOT ${FFMPEG_FOUND})
message(FATAL_ERROR "Cannot find ffmpeg libs/headers")
endif()
message(STATUS "Found ffmpeg libs: ${FFMPEG_LIBRARIES}")
message(STATUS "Found ffmpeg headers in: ${FFMPEG_INCLUDE_DIRS}")
message(STATUS "ffmpeg definitions: ${FFMPEG_DEFINITIONS}")
message(STATUS "Found avformat ${AVFORMAT_VERSION}")
include_directories(${FFMPEG_INCLUDE_DIRS})
add_compile_definitions(WHISPER_FFMPEG)
list(APPEND COMMON_EXTRA_LIBS ${FFMPEG_LIBRARIES})
set(COMMON_SOURCES_FFMPEG ffmpeg-transcode.cpp)
endif()
add_library(${TARGET} STATIC
common.h
common.cpp
@ -63,7 +38,7 @@ add_library(${TARGET} STATIC
include(DefaultTargetOptions)
target_link_libraries(${TARGET} PRIVATE whisper ${COMMON_EXTRA_LIBS})
target_link_libraries(${TARGET} PRIVATE whisper)
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
@ -80,8 +55,8 @@ if (WHISPER_SDL2)
include(DefaultTargetOptions)
target_include_directories(${TARGET} PUBLIC ${SDL2_INCLUDE_DIRS})
target_link_libraries (${TARGET} PRIVATE ${SDL2_LIBRARIES})
target_include_directories(${TARGET} PUBLIC ${SDL2_INCLUDE_DIRS})
target_link_libraries(${TARGET} PRIVATE ${SDL2_LIBRARIES})
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
@ -97,29 +72,50 @@ include_directories(${CMAKE_CURRENT_SOURCE_DIR})
if (EMSCRIPTEN)
add_subdirectory(whisper.wasm)
set_target_properties(libmain PROPERTIES FOLDER "libs")
add_subdirectory(stream.wasm)
set_target_properties(libstream PROPERTIES FOLDER "libs")
add_subdirectory(command.wasm)
set_target_properties(libcommand PROPERTIES FOLDER "libs")
add_subdirectory(talk.wasm)
set_target_properties(libtalk PROPERTIES FOLDER "libs")
add_subdirectory(bench.wasm)
set_target_properties(libbench PROPERTIES FOLDER "libs")
elseif(CMAKE_JS_VERSION)
add_subdirectory(addon.node)
set_target_properties(addon.node PROPERTIES FOLDER "examples")
else()
add_subdirectory(cli)
add_subdirectory(bench)
add_subdirectory(main)
set_target_properties(main PROPERTIES FOLDER "examples")
if (WHISPER_SDL2)
add_subdirectory(stream)
set_target_properties(stream PROPERTIES FOLDER "examples")
endif (WHISPER_SDL2)
add_subdirectory(server)
set_target_properties(server PROPERTIES FOLDER "examples")
if (WHISPER_SDL2)
add_subdirectory(command)
set_target_properties(command PROPERTIES FOLDER "examples")
endif (WHISPER_SDL2)
add_subdirectory(bench)
set_target_properties(bench PROPERTIES FOLDER "examples")
add_subdirectory(quantize)
if (WHISPER_SDL2)
add_subdirectory(stream)
add_subdirectory(command)
add_subdirectory(talk-llama)
add_subdirectory(lsp)
if (GGML_SYCL)
add_subdirectory(sycl)
endif()
endif (WHISPER_SDL2)
add_subdirectory(deprecation-warning)
set_target_properties(quantize PROPERTIES FOLDER "examples")
if (WHISPER_SDL2)
add_subdirectory(talk)
set_target_properties(talk PROPERTIES FOLDER "examples")
add_subdirectory(talk-llama)
set_target_properties(talk-llama PROPERTIES FOLDER "examples")
add_subdirectory(lsp)
set_target_properties(lsp PROPERTIES FOLDER "examples")
if (LLAMA_SYCL)
add_subdirectory(sycl)
set_target_properties(sycl PROPERTIES FOLDER "examples")
endif()
endif (WHISPER_SDL2)
endif()
if (WHISPER_SDL2)
add_subdirectory(wchess)
set_target_properties(wchess PROPERTIES FOLDER "examples")
endif (WHISPER_SDL2)

View File

@ -1,8 +1,6 @@
set(TARGET whisper-bench)
set(TARGET bench)
add_executable(${TARGET} bench.cpp)
include(DefaultTargetOptions)
target_link_libraries(${TARGET} PRIVATE whisper ${CMAKE_THREAD_LIBS_INIT})
install(TARGETS ${TARGET} RUNTIME)

View File

@ -1,4 +1,4 @@
# whisper.cpp/examples/bench
# bench
A very basic tool for benchmarking the inference performance on your device. The tool simply runs the Encoder part of
the transformer on some random audio data and records the execution time. This way we can have an objective comparison
@ -7,8 +7,11 @@ of the performance of the model for various setups.
Benchmark results are tracked in the following Github issue: https://github.com/ggerganov/whisper.cpp/issues/89
```bash
# run the bench too on the small.en model using 4 threads
$ ./build/bin/whisper-bench -m ./models/ggml-small.en.bin -t 4
# build the bench tool
$ make bench
# run it on the small.en model using 4 threads
$ ./bench -m ./models/ggml-small.en.bin -t 4
whisper_model_load: loading model from './models/ggml-small.en.bin'
whisper_model_load: n_vocab = 51864

View File

@ -18,7 +18,7 @@ struct whisper_params {
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
static bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
for (int i = 1; i < argc; i++) {
std::string arg = argv[i];
@ -58,7 +58,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
fprintf(stderr, "\n");
}
static int whisper_bench_full(const whisper_params & params) {
int whisper_bench_full(const whisper_params & params) {
// whisper init
struct whisper_context_params cparams = whisper_context_default_params();

View File

@ -1,10 +1,9 @@
if (WHISPER_SDL2)
set(TARGET whisper-command)
# command
set(TARGET command)
add_executable(${TARGET} command.cpp)
include(DefaultTargetOptions)
target_link_libraries(${TARGET} PRIVATE common common-sdl whisper ${CMAKE_THREAD_LIBS_INIT})
install(TARGETS ${TARGET} RUNTIME)
endif ()

View File

@ -1,14 +1,14 @@
# whisper.cpp/examples/command
# command
This is a basic Voice Assistant example that accepts voice commands from the microphone.
More info is available in [issue #171](https://github.com/ggerganov/whisper.cpp/issues/171).
```bash
# Run with default arguments and small model
./whisper-command -m ./models/ggml-small.en.bin -t 8
./command -m ./models/ggml-small.en.bin -t 8
# On Raspberry Pi, use tiny or base models + "-ac 768" for better performance
./whisper-command -m ./models/ggml-tiny.en.bin -ac 768 -t 3 -c 0
./command -m ./models/ggml-tiny.en.bin -ac 768 -t 3 -c 0
```
https://user-images.githubusercontent.com/1991296/204038393-2f846eae-c255-4099-a76d-5735c25c49da.mp4
@ -23,10 +23,10 @@ Initial tests show that this approach might be extremely efficient in terms of p
```bash
# Run in guided mode, the list of allowed commands is in commands.txt
./whisper-command -m ./models/ggml-base.en.bin -cmd ./examples/command/commands.txt
./command -m ./models/ggml-base.en.bin -cmd ./examples/command/commands.txt
# On Raspberry Pi, in guided mode you can use "-ac 128" for extra performance
./whisper-command -m ./models/ggml-tiny.en.bin -cmd ./examples/command/commands.txt -ac 128 -t 3 -c 0
./command -m ./models/ggml-tiny.en.bin -cmd ./examples/command/commands.txt -ac 128 -t 3 -c 0
```
https://user-images.githubusercontent.com/1991296/207435352-8fc4ed3f-bde5-4555-9b8b-aeeb76bee969.mp4
@ -34,7 +34,7 @@ https://user-images.githubusercontent.com/1991296/207435352-8fc4ed3f-bde5-4555-9
## Building
The `whisper-command` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
The `command` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
```bash
# Install SDL2
@ -47,6 +47,5 @@ sudo dnf install SDL2 SDL2-devel
# Install SDL2 on Mac OS
brew install sdl2
cmake -B build -DWHISPER_SDL2=ON
cmake --build build --config Release
make command
```

View File

@ -59,7 +59,7 @@ struct whisper_params {
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
static bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
for (int i = 1; i < argc; i++) {
std::string arg = argv[i];
@ -130,7 +130,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
fprintf(stderr, "\n");
}
static std::string transcribe(
std::string transcribe(
whisper_context * ctx,
const whisper_params & params,
const std::vector<float> & pcmf32,
@ -216,7 +216,7 @@ static std::string transcribe(
return result;
}
static std::vector<std::string> read_allowed_commands(const std::string & fname) {
std::vector<std::string> read_allowed_commands(const std::string & fname) {
std::vector<std::string> allowed_commands;
std::ifstream ifs(fname);
@ -238,7 +238,7 @@ static std::vector<std::string> read_allowed_commands(const std::string & fname)
return allowed_commands;
}
static std::vector<std::string> get_words(const std::string &txt) {
std::vector<std::string> get_words(const std::string &txt) {
std::vector<std::string> words;
std::istringstream iss(txt);
@ -252,7 +252,7 @@ static std::vector<std::string> get_words(const std::string &txt) {
// command-list mode
// guide the transcription to match the most likely command from a provided list
static int process_command_list(struct whisper_context * ctx, audio_async &audio, const whisper_params &params) {
int process_command_list(struct whisper_context * ctx, audio_async &audio, const whisper_params &params) {
fprintf(stderr, "\n");
fprintf(stderr, "%s: guided mode\n", __func__);
@ -463,7 +463,7 @@ static int process_command_list(struct whisper_context * ctx, audio_async &audio
// always-prompt mode
// transcribe the voice into text after valid prompt
static int always_prompt_transcription(struct whisper_context * ctx, audio_async & audio, const whisper_params & params) {
int always_prompt_transcription(struct whisper_context * ctx, audio_async & audio, const whisper_params & params) {
bool is_running = true;
bool ask_prompt = true;
@ -543,7 +543,7 @@ static int always_prompt_transcription(struct whisper_context * ctx, audio_async
// general-purpose mode
// freely transcribe the voice into text
static int process_general_transcription(struct whisper_context * ctx, audio_async & audio, const whisper_params & params) {
int process_general_transcription(struct whisper_context * ctx, audio_async & audio, const whisper_params & params) {
bool is_running = true;
bool have_prompt = false;
bool ask_prompt = true;

View File

@ -209,8 +209,6 @@ bool ggml_common_quantize_0(
case GGML_TYPE_IQ4_XS:
case GGML_TYPE_IQ1_M:
case GGML_TYPE_BF16:
case GGML_TYPE_TQ1_0:
case GGML_TYPE_TQ2_0:
case GGML_TYPE_COUNT:
{
fprintf(stderr, "%s: unsupported quantization type %d (%s)\n", __func__, ttype, ggml_type_name((ggml_type) ttype));

View File

@ -1,7 +1,5 @@
#include "common-sdl.h"
#include <cstdio>
audio_async::audio_async(int len_ms) {
m_len_ms = len_ms;
@ -221,7 +219,7 @@ bool sdl_poll_events() {
case SDL_QUIT:
{
return false;
}
} break;
default:
break;
}

View File

@ -30,7 +30,7 @@ extern bool ffmpeg_decode_audio(const std::string & ifname, std::vector<uint8_t>
#endif
// Function to check if the next argument exists
static std::string get_next_arg(int& i, int argc, char** argv, const std::string& flag, gpt_params& params) {
std::string get_next_arg(int& i, int argc, char** argv, const std::string& flag, gpt_params& params) {
if (i + 1 < argc && argv[i + 1][0] != '-') {
return argv[++i];
} else {
@ -147,6 +147,7 @@ std::string gpt_random_prompt(std::mt19937 & rng) {
case 7: return "He";
case 8: return "She";
case 9: return "They";
default: return "To";
}
return "The";
@ -345,7 +346,7 @@ std::vector<gpt_vocab::id> gpt_tokenize(const gpt_vocab & vocab, const std::stri
return tokens;
}
static std::vector<gpt_vocab::id> parse_tokens_from_string(const std::string& input, char delimiter) {
std::vector<gpt_vocab::id> parse_tokens_from_string(const std::string& input, char delimiter) {
std::vector<gpt_vocab::id> output;
std::stringstream ss(input);
std::string token;
@ -357,7 +358,7 @@ static std::vector<gpt_vocab::id> parse_tokens_from_string(const std::string& in
return output;
}
static std::map<std::string, std::vector<gpt_vocab::id>> extract_tests_from_file(const std::string & fpath_test){
std::map<std::string, std::vector<gpt_vocab::id>> extract_tests_from_file(const std::string & fpath_test){
if (fpath_test.empty()){
fprintf(stderr, "%s : No test file found.\n", __func__);
return std::map<std::string, std::vector<gpt_vocab::id>>();

View File

@ -9,7 +9,6 @@
#include <thread>
#include <ctime>
#include <fstream>
#include <sstream>
#define COMMON_SAMPLE_RATE 16000
@ -22,7 +21,7 @@ struct gpt_params {
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
int32_t n_predict = 200; // new tokens to predict
int32_t n_parallel = 1; // number of parallel streams
int32_t n_batch = 32; // batch size for prompt processing
int32_t n_batch = 8; // batch size for prompt processing
int32_t n_ctx = 2048; // context size (this is the KV cache max size)
int32_t n_gpu_layers = 0; // number of layers to offlload to the GPU
@ -287,43 +286,12 @@ void sam_print_usage(int argc, char ** argv, const sam_params & params);
// Terminal utils
//
#define SQR(X) ((X) * (X))
#define UNCUBE(x) x < 48 ? 0 : x < 115 ? 1 : (x - 35) / 40
/**
* Quantizes 24-bit RGB to xterm256 code range [16,256).
*/
static int rgb2xterm256(int r, int g, int b) {
unsigned char cube[] = {0, 0137, 0207, 0257, 0327, 0377};
int av, ir, ig, ib, il, qr, qg, qb, ql;
av = r * .299 + g * .587 + b * .114 + .5;
ql = (il = av > 238 ? 23 : (av - 3) / 10) * 10 + 8;
qr = cube[(ir = UNCUBE(r))];
qg = cube[(ig = UNCUBE(g))];
qb = cube[(ib = UNCUBE(b))];
if (SQR(qr - r) + SQR(qg - g) + SQR(qb - b) <=
SQR(ql - r) + SQR(ql - g) + SQR(ql - b))
return ir * 36 + ig * 6 + ib + 020;
return il + 0350;
}
static std::string set_xterm256_foreground(int r, int g, int b) {
int x = rgb2xterm256(r, g, b);
std::ostringstream oss;
oss << "\033[38;5;" << x << "m";
return oss.str();
}
// Lowest is red, middle is yellow, highest is green. Color scheme from
// Paul Tol; it is colorblind friendly https://personal.sron.nl/~pault/
// Terminal color map. 10 colors grouped in ranges [0.0, 0.1, ..., 0.9]
// Lowest is red, middle is yellow, highest is green.
const std::vector<std::string> k_colors = {
set_xterm256_foreground(220, 5, 12),
set_xterm256_foreground(232, 96, 28),
set_xterm256_foreground(241, 147, 45),
set_xterm256_foreground(246, 193, 65),
set_xterm256_foreground(247, 240, 86),
set_xterm256_foreground(144, 201, 135),
set_xterm256_foreground( 78, 178, 101),
"\033[38;5;196m", "\033[38;5;202m", "\033[38;5;208m", "\033[38;5;214m", "\033[38;5;220m",
"\033[38;5;226m", "\033[38;5;190m", "\033[38;5;154m", "\033[38;5;118m", "\033[38;5;82m",
};
//

View File

@ -1,4 +0,0 @@
add_executable(main ./deprecation-warning.cpp)
add_executable(bench ./deprecation-warning.cpp)
add_executable(stream ./deprecation-warning.cpp)
add_executable(command ./deprecation-warning.cpp)

View File

@ -1,17 +0,0 @@
# Migration notice for binary filenames
> [!IMPORTANT]
[2024 Dec 20] Binaries have been renamed w/ a `whisper-` prefix. `main` is now `whisper-cli`, `server` is `whisper-server`, etc (https://github.com/ggerganov/whisper.cpp/pull/2648)
This migration was important, but it is a breaking change that may not always be immediately obvious to users.
Please update all scripts and workflows to use the new binary names.
| Old Filename | New Filename |
| ---- | ---- |
| main | whisper-cli |
| bench | whisper-bench |
| stream | whisper-stream |
| command | whisper-command |
| server | whisper-server |
| talk-llama | whisper-talk-llama |

View File

@ -1,38 +0,0 @@
// Warns users that this filename was deprecated, and provides a link for more information.
#include <cstdio>
#include <string>
// Main
int main(int argc, char** argv) {
std::string filename = "main";
if (argc >= 1) {
filename = argv[0];
}
// Get only the program name from the full path
size_t pos = filename.find_last_of("/\\");
if (pos != std::string::npos) {
filename = filename.substr(pos+1);
}
// Append "whisper-" to the beginning of filename to get the replacemnt filename
std::string replacement_filename = "whisper-" + filename;
// The exception is if the filename is "main", then our replacement filename is "whisper-cli"
if (filename == "main") {
replacement_filename = "whisper-cli";
}
if (filename == "main.exe") {
replacement_filename = "whisper-cli.exe";
}
fprintf(stdout, "\n");
fprintf(stdout, "WARNING: The binary '%s' is deprecated.\n", filename.c_str());
fprintf(stdout, " Please use '%s' instead.\n", replacement_filename.c_str());
fprintf(stdout, " See https://github.com/ggerganov/whisper.cpp/tree/master/examples/deprecation-warning/README.md for more information.\n");
fprintf(stdout, "\n");
return EXIT_FAILURE;
}

File diff suppressed because it is too large Load Diff

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@ -204,6 +204,8 @@ static int decode_audio(struct audio_buffer *audio_buf, s16 **data, int *size)
const size_t errbuffsize = 1024;
char errbuff[errbuffsize];
av_register_all(); // from avformat. Still a must-have call for ffmpeg v3! (can be skipped for later versions)
fmt_ctx = avformat_alloc_context();
avio_ctx_buffer = (u8*)av_malloc(AVIO_CTX_BUF_SZ);
LOG("Creating an avio context: AVIO_CTX_BUF_SZ=%d\n", AVIO_CTX_BUF_SZ);
@ -319,7 +321,7 @@ int ffmpeg_decode_audio(const std::string &ifname, std::vector<uint8_t>& owav_da
LOG("Couldn't map input file %s\n", ifname.c_str());
return err;
}
LOG("Mapped input file: %s size: %d\n", ibuf, (int) ibuf_size);
LOG("Mapped input file: %x size: %d\n", ibuf, ibuf_size);
struct audio_buffer inaudio_buf;
inaudio_buf.ptr = ibuf;
inaudio_buf.size = ibuf_size;

View File

@ -11,7 +11,7 @@
# Press Ctrl+C to stop recording
#
executable="./build/bin/whisper-cli"
executable="./main"
model="base.en"
model_path="models/ggml-$model.bin"
@ -46,7 +46,7 @@ ffmpeg -y -i ./rec.wav -ar 16000 -ac 1 -c:a pcm_s16le ./rec16.wav > /dev/null 2>
# run Whisper
echo "Processing ..."
${executable} -m models/ggml-base.en.bin rec16.wav -owts > /dev/null 2>&1
./main -m models/ggml-base.en.bin rec16.wav -owts > /dev/null 2>&1
# generate Karaoke video
echo "Generating video ..."

View File

@ -9,7 +9,7 @@
namespace grammar_parser {
// NOTE: assumes valid utf8 (but checks for overrun)
// copied from whisper.cpp
static std::pair<uint32_t, const char *> decode_utf8(const char * src) {
std::pair<uint32_t, const char *> decode_utf8(const char * src) {
static const int lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4 };
uint8_t first_byte = static_cast<uint8_t>(*src);
uint8_t highbits = first_byte >> 4;
@ -24,19 +24,19 @@ namespace grammar_parser {
return std::make_pair(value, pos);
}
static uint32_t get_symbol_id(parse_state & state, const char * src, size_t len) {
uint32_t get_symbol_id(parse_state & state, const char * src, size_t len) {
uint32_t next_id = static_cast<uint32_t>(state.symbol_ids.size());
auto result = state.symbol_ids.insert(std::make_pair(std::string(src, len), next_id));
return result.first->second;
}
static uint32_t generate_symbol_id(parse_state & state, const std::string & base_name) {
uint32_t generate_symbol_id(parse_state & state, const std::string & base_name) {
uint32_t next_id = static_cast<uint32_t>(state.symbol_ids.size());
state.symbol_ids[base_name + '_' + std::to_string(next_id)] = next_id;
return next_id;
}
static void add_rule(
void add_rule(
parse_state & state,
uint32_t rule_id,
const std::vector<whisper_grammar_element> & rule) {
@ -46,11 +46,11 @@ namespace grammar_parser {
state.rules[rule_id] = rule;
}
static bool is_word_char(char c) {
bool is_word_char(char c) {
return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') || c == '-' || ('0' <= c && c <= '9');
}
static std::pair<uint32_t, const char *> parse_hex(const char * src, int size) {
std::pair<uint32_t, const char *> parse_hex(const char * src, int size) {
const char * pos = src;
const char * end = src + size;
uint32_t value = 0;
@ -73,7 +73,7 @@ namespace grammar_parser {
return std::make_pair(value, pos);
}
static const char * parse_space(const char * src, bool newline_ok) {
const char * parse_space(const char * src, bool newline_ok) {
const char * pos = src;
while (*pos == ' ' || *pos == '\t' || *pos == '#' ||
(newline_ok && (*pos == '\r' || *pos == '\n'))) {
@ -88,7 +88,7 @@ namespace grammar_parser {
return pos;
}
static const char * parse_name(const char * src) {
const char * parse_name(const char * src) {
const char * pos = src;
while (is_word_char(*pos)) {
pos++;
@ -99,7 +99,7 @@ namespace grammar_parser {
return pos;
}
static std::pair<uint32_t, const char *> parse_char(const char * src) {
std::pair<uint32_t, const char *> parse_char(const char * src) {
if (*src == '\\') {
switch (src[1]) {
case 'x': return parse_hex(src + 2, 2);
@ -122,14 +122,14 @@ namespace grammar_parser {
throw std::runtime_error("unexpected end of input");
}
static const char * parse_alternates(
const char * parse_alternates(
parse_state & state,
const char * src,
const std::string & rule_name,
uint32_t rule_id,
bool is_nested);
static const char * parse_sequence(
const char * parse_sequence(
parse_state & state,
const char * src,
const std::string & rule_name,
@ -229,7 +229,7 @@ namespace grammar_parser {
return pos;
}
static const char * parse_alternates(
const char * parse_alternates(
parse_state & state,
const char * src,
const std::string & rule_name,
@ -247,7 +247,7 @@ namespace grammar_parser {
return pos;
}
static const char * parse_rule(parse_state & state, const char * src) {
const char * parse_rule(parse_state & state, const char * src) {
const char * name_end = parse_name(src);
const char * pos = parse_space(name_end, false);
size_t name_len = name_end - src;
@ -285,7 +285,7 @@ namespace grammar_parser {
}
}
static void print_grammar_char(FILE * file, uint32_t c) {
void print_grammar_char(FILE * file, uint32_t c) {
if (0x20 <= c && c <= 0x7f) {
fprintf(file, "%c", static_cast<char>(c));
} else {
@ -294,7 +294,7 @@ namespace grammar_parser {
}
}
static bool is_char_element(whisper_grammar_element elem) {
bool is_char_element(whisper_grammar_element elem) {
switch (elem.type) {
case WHISPER_GRETYPE_CHAR: return true;
case WHISPER_GRETYPE_CHAR_NOT: return true;
@ -304,7 +304,7 @@ namespace grammar_parser {
}
}
static void print_rule_binary(FILE * file, const std::vector<whisper_grammar_element> & rule) {
void print_rule_binary(FILE * file, const std::vector<whisper_grammar_element> & rule) {
for (auto elem : rule) {
switch (elem.type) {
case WHISPER_GRETYPE_END: fprintf(file, "END"); break;
@ -334,7 +334,7 @@ namespace grammar_parser {
fprintf(file, "\n");
}
static void print_rule(
void print_rule(
FILE * file,
uint32_t rule_id,
const std::vector<whisper_grammar_element> & rule,
@ -413,7 +413,7 @@ namespace grammar_parser {
}
}
std::vector<const whisper_grammar_element *> parse_state::c_rules() const {
std::vector<const whisper_grammar_element *> parse_state::c_rules() const{
std::vector<const whisper_grammar_element *> ret;
for (const auto & rule : rules) {
ret.push_back(rule.data());

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