select utf8 codepage on windows

Fixes for Windows:

* MSVC default to utf-8 without BOM.
* Console output code page changed to utf-8.

---------

Co-authored-by: Judd <foldl@boxvest.com>

.devops/cublas.Dockerfile

@@ -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
+    apt-get install -y build-essential git cmake libsdl2-dev wget git
 
 WORKDIR /app
 
@@ -23,6 +23,6 @@ ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
 # Enable cuBLAS
 ENV GGML_CUDA=1
 
-RUN make
+RUN make base.en
 
 ENTRYPOINT ["/app/main"]

.devops/main-cuda.Dockerfile

@@ -17,7 +17,7 @@ ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
 ENV GGML_CUDA=1
 
 RUN apt-get update && \
-    apt-get install -y build-essential libsdl2-dev \
+    apt-get install -y build-essential libsdl2-dev wget cmake git \
     && 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
+RUN make base.en
 
 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 \
+  apt-get install -y curl ffmpeg wget cmake git \
   && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
 
 COPY --from=build /app /app

.devops/main.Dockerfile

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

.github/workflows/bindings-go.yml

@@ -10,8 +10,8 @@ on:
       - whisper.h
 
 jobs:
-  ubuntu-latest:
-    runs-on: ubuntu-latest
+  ubuntu-22:
+    runs-on: ubuntu-22.04
     steps:
       - uses: actions/setup-go@v5
         with:

.github/workflows/bindings-ruby.yml

@@ -0,0 +1,55 @@
+name: Bindings Tests (Ruby)
+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
+  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
+
+jobs:
+  ubuntu-22:
+    runs-on: ubuntu-22.04
+    defaults:
+      run:
+        working-directory: bindings/ruby
+    steps:
+      - uses: ruby/setup-ruby@v1
+        with:
+          ruby-version: '3.1'
+      - uses: actions/checkout@v4
+      - run: rake test

.github/workflows/bindings-ruby.yml.disabled

@@ -1,23 +0,0 @@
-# TODO: fix this workflow file, disabled for now
-name: Bindings Tests (Ruby)
-on:
-  push:
-    paths:
-      - bindings/ruby/**
-      - whisper.h
-  pull_request:
-    paths:
-      - bindings/ruby/**
-      - whisper.h
-
-jobs:
-  ubuntu-latest:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: ruby/setup-ruby@v1
-        with:
-          ruby-version: '3.0'
-      - uses: actions/checkout@v1
-      - run: |
-          cd bindings/ruby/ext
-          ruby extconf.rb && make

.github/workflows/build.yml

@@ -1,17 +1,28 @@
 name: CI
-on: [push, pull_request]
+
+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
 
 env:
   ubuntu_image: "ubuntu:22.04"
+  VCPKG_BINARY_SOURCES: "clear;x-gha,readwrite"
 
 jobs:
-  ubuntu-latest:
-    runs-on: ubuntu-latest
+  ubuntu-22:
+    runs-on: ubuntu-22.04
 
     strategy:
       fail-fast: false
       matrix:
-        arch: [linux/amd64, linux/arm64, linux/arm/v7, linux/ppc64le]
+        arch: [linux/amd64, linux/ppc64le]
 
     steps:
       - name: Clone
@@ -27,9 +38,61 @@ jobs:
             -w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
             set -e
             apt update
-            apt install -y build-essential libsdl2-dev
-            make
-            make stream'
+            apt install -y build-essential libsdl2-dev cmake git
+            cmake -B build
+            cmake --build build --config Release -j $(nproc)'
+
+  ubuntu-22-arm64:
+    runs-on: ubuntu-22.04
+
+    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 git
+            cmake -B build -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8-a
+            cmake --build build --config Release -j $(nproc)'
+
+  ubuntu-22-arm-v7:
+    runs-on: ubuntu-22.04
+
+    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 git
+            cmake -B build -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv7-a+fp
+            cmake --build build --config Release -j $(nproc)'
 
   macOS-latest:
     runs-on: macOS-latest
@@ -41,39 +104,39 @@ jobs:
       - name: Dependencies
         run: |
           brew update
-          brew install sdl2
+          brew install sdl2 cmake
 
       - name: Build
         run: |
-          make
-          make stream
+          cmake -B build
+          cmake --build build --config Release
 
-  freeBSD-latest:
-    runs-on: macos-12
+#  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
 
-    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
-            gmake
-            gmake stream
-
-  ubuntu-latest-gcc:
-    runs-on: ubuntu-latest
+  ubuntu-22-gcc:
+    runs-on: ubuntu-22.04
 
     strategy:
       fail-fast: false
       matrix:
         build: [Debug, Release]
-        arch: [linux/amd64, linux/arm64, linux/arm/v7, linux/ppc64le]
+        arch: [linux/amd64, linux/ppc64le]
 
     steps:
       - name: Clone
@@ -89,13 +152,69 @@ jobs:
             -w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
             set -e
             apt update
-            apt install -y build-essential cmake libsdl2-dev
+            apt install -y build-essential cmake libsdl2-dev git
             cmake . -DWHISPER_SDL2=ON -DCMAKE_BUILD_TYPE=${{ matrix.build }}
             make
             ctest -L gh --output-on-failure'
 
-  ubuntu-latest-clang:
-    runs-on: ubuntu-latest
+  ubuntu-22-gcc-arm64:
+    runs-on: ubuntu-22.04
+
+    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 ${{ env.ubuntu_image }} /bin/sh -c '
+            set -e
+            apt update
+            apt install -y build-essential cmake libsdl2-dev git
+            cmake . -DWHISPER_SDL2=ON -DCMAKE_BUILD_TYPE=${{ matrix.build }} -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8-a
+            make
+            ctest -L gh --output-on-failure'
+
+  ubuntu-22-gcc-arm-v7:
+    runs-on: ubuntu-22.04
+
+    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 ${{ env.ubuntu_image }} /bin/sh -c '
+            set -e
+            apt update
+            apt install -y build-essential cmake libsdl2-dev git
+            cmake . -DWHISPER_SDL2=ON -DCMAKE_BUILD_TYPE=${{ matrix.build }} -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv7-a+fp
+            make
+            ctest -L gh --output-on-failure'
+
+  ubuntu-22-clang:
+    runs-on: ubuntu-22.04
 
     strategy:
       fail-fast: false
@@ -120,13 +239,13 @@ jobs:
             -w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
             set -e
             apt update
-            apt install -y clang build-essential cmake libsdl2-dev
+            apt install -y clang build-essential cmake libsdl2-dev git
             cmake . -DWHISPER_SDL2=ON -DCMAKE_BUILD_TYPE=${{ matrix.build }} -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_COMPILER=clang
             make
             ctest -L gh --output-on-failure'
 
-  ubuntu-latest-gcc-sanitized:
-    runs-on: ubuntu-latest
+  ubuntu-22-gcc-sanitized:
+    runs-on: ubuntu-22.04
 
     strategy:
       fail-fast: false
@@ -148,7 +267,7 @@ jobs:
             -w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
             set -e
             apt update
-            apt install -y build-essential cmake
+            apt install -y build-essential cmake git
             cmake . -DCMAKE_BUILD_TYPE=Debug -DWHISPER_SANITIZE_${{ matrix.sanitizer }}=ON
             make
             ctest -L gh --output-on-failure'
@@ -183,12 +302,12 @@ jobs:
         shell: bash
         run: |
           sudo apt update
-          sudo apt install intel-oneapi-compiler-dpcpp-cpp
+          sudo apt install intel-oneapi-compiler-dpcpp-cpp git
 
       - name: install oneAPI MKL library
         shell: bash
         run: |
-          sudo apt install intel-oneapi-mkl-devel
+          sudo apt install intel-oneapi-mkl-devel git
 
       - name: Clone
         id: checkout
@@ -233,7 +352,7 @@ jobs:
         shell: bash
         run: |
           sudo apt update
-          sudo apt install intel-oneapi-compiler-dpcpp-cpp
+          sudo apt install intel-oneapi-compiler-dpcpp-cpp git
 
       - name: install oneAPI MKL library
         shell: bash
@@ -274,30 +393,16 @@ jobs:
           msystem: ${{matrix.sys}}
           install: >-
             base-devel
+            git
             mingw-w64-${{matrix.env}}-toolchain
             mingw-w64-${{matrix.env}}-cmake
             mingw-w64-${{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 GGML_OPENBLAS=1 -j $(nproc)
-
       - name: Build using CMake
         shell: msys2 {0}
         run: |
-            cmake -B build
+            cmake -B build -DWHISPER_SDL2=ON
             cmake --build build --config ${{ matrix.build }} -j $(nproc)
 
       - name: Clean after building using CMake
@@ -308,7 +413,7 @@ jobs:
       - name: Build using CMake w/ OpenBLAS
         shell: msys2 {0}
         run: |
-            cmake -B build -DGGML_OPENBLAS=ON
+            cmake -B build -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
             cmake --build build --config ${{ matrix.build }} -j $(nproc)
 
   windows:
@@ -382,10 +487,8 @@ 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
           - arch: x64
-            obzip: https://github.com/OpenMathLib/OpenBLAS/releases/download/v0.3.25/OpenBLAS-0.3.25-x64.zip
             s2arc: x64
           - sdl2: ON
             s2ver: 2.28.5
@@ -394,17 +497,21 @@ 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: Fetch OpenBLAS
+      - name: Install OpenBLAS and pkgconfiglite
         if: matrix.blas == 'ON'
         run: |
-          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" >> $env:GITHUB_ENV
+          vcpkg install --triplet=${{ matrix.s2arc }}-windows openblas
+          choco install pkgconfiglite
 
       - name: Fetch SDL2 and set SDL2_DIR
         if: matrix.sdl2 == 'ON'
@@ -416,9 +523,10 @@ jobs:
       - name: Configure
         run: >
           cmake -S . -B ./build -A ${{ matrix.arch }}
+          -DCMAKE_TOOLCHAIN_FILE="$env:VCPKG_INSTALLATION_ROOT/scripts/buildsystems/vcpkg.cmake"
           -DCMAKE_BUILD_TYPE=${{ matrix.build }}
-          -DGGML_OPENBLAS=${{ matrix.blas }}
-          -DCMAKE_LIBRARY_PATH="$env:OPENBLAS_PATH/lib"
+          -DGGML_BLAS=${{ matrix.blas }}
+          -DGGML_BLAS_VENDOR=OpenBLAS
           -DWHISPER_SDL2=${{ matrix.sdl2 }}
 
       - name: Build
@@ -426,9 +534,9 @@ jobs:
           cd ./build
           msbuild ALL_BUILD.vcxproj -t:build -p:configuration=${{ matrix.build }} -p:platform=${{ matrix.arch }}
 
-      - name: Copy libopenblas.dll
+      - name: Copy openblas.dll
         if: matrix.blas == 'ON'
-        run: copy "$env:OPENBLAS_PATH/bin/libopenblas.dll" build/bin/${{ matrix.build }}
+        run: copy "C:/vcpkg/packages/openblas_${{ matrix.s2arc }}-windows/bin/openblas.dll" build/bin/${{ matrix.build }}
 
       - name: Copy SDL2.dll
         if: matrix.sdl2 == 'ON'
@@ -443,7 +551,6 @@ jobs:
 
   windows-cublas:
     runs-on: windows-2019
-
     strategy:
       matrix:
         build: [Release]
@@ -453,12 +560,10 @@ jobs:
         cuda-toolkit: [12.2.0, 11.8.0]
         include:
           - arch: x64
-            s2arc: x64
-          - sdl2: ON
-            s2ver: 2.28.5
-
+            sdl2: ON
+            sdl2_ver: 2.28.5
     steps:
-      - name: Clone
+      - name: Clone repository
         uses: actions/checkout@v4
 
       - name: Add msbuild to PATH
@@ -470,45 +575,50 @@ 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: |
-          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
+          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
           7z x sdl2.zip
-          echo "SDL2_DIR=$env:GITHUB_WORKSPACE/SDL2-${{ matrix.s2ver }}/cmake" >> $env:GITHUB_ENV
+          echo "SDL2_DIR=${{ 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
-        run: >
-          cmake -S . -B ./build -A ${{ matrix.arch }}
-          -DCMAKE_BUILD_TYPE=${{ matrix.build }}
-          -DGGML_CUDA=${{ matrix.cublas }}
-          -DWHISPER_SDL2=${{ matrix.sdl2 }}
+      - 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 ${{ matrix.cuda-toolkit }}
+      - name: Build Project
+        shell: cmd
         run: |
           cd ./build
           cmake --build . --config ${{ matrix.build }}
 
       - name: Copy CUDA DLLs
-        run: >
-          Copy-Item -PassThru
-          -Path "${{ steps.cuda-toolkit.outputs.CUDA_PATH }}/bin/*.dll"
-          -Include cudart64_*,cublas64_*,cublasLt64_*
-          -Destination build/bin/${{ matrix.build }}
+        run: |
+          Get-ChildItem "${{ steps.cuda-toolkit.outputs.CUDA_PATH }}/bin/" -Filter "*.dll" |
+          Copy-Item -Destination "build/bin/${{ matrix.build }}"
 
       - name: Copy SDL2.dll
         if: matrix.sdl2 == 'ON'
-        run: copy "$env:SDL2_DIR/../lib/${{ matrix.s2arc }}/SDL2.dll" build/bin/${{ matrix.build }}
+        run: copy "$env:SDL2_DIR/../lib/${{ matrix.arch }}/SDL2.dll" build/bin/${{ matrix.build }}
 
       - name: Upload binaries
-        if: matrix.sdl2 == 'ON'
         uses: actions/upload-artifact@v4
         with:
           name: whisper-cublas-${{ matrix.cuda-toolkit }}-bin-${{ matrix.arch }}
           path: build/bin/${{ matrix.build }}
 
   emscripten:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
 
     strategy:
       matrix:
@@ -529,7 +639,7 @@ jobs:
           emcmake cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }}
           make
 
-  ios:
+  ios-xcode-build:
     runs-on: macos-latest
 
     strategy:
@@ -537,7 +647,7 @@ jobs:
         build: [Release]
 
     steps:
-      - name: Clone
+      - name: Checkout code
         uses: actions/checkout@v4
 
       - name: Configure
@@ -545,14 +655,37 @@ 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 iphonesimulator build
+        run: xcodebuild -project examples/whisper.objc/whisper.objc.xcodeproj -scheme whisper.objc -configuration ${{ matrix.build }} -sdk iphoneos CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED=NO build
 
       - name: Build swiftui example
-        run: xcodebuild -project examples/whisper.swiftui/whisper.swiftui.xcodeproj -scheme WhisperCppDemo -configuration ${{ matrix.build }} -sdk iphonesimulator build
+        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
 
   android:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
 
     steps:
       - name: Clone
@@ -560,12 +693,6 @@ 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:
@@ -584,11 +711,11 @@ jobs:
         run: |
           export PATH_TO_GGML=$PWD/ggml
           cd whisper/examples/whisper.android
-          ./gradlew assembleRelease --no-daemon -PGGML_HOME=$PATH_TO_GGML
+          ./gradlew assembleRelease --no-daemon
 
 # TODO: disable because of following fail: https://github.com/ggerganov/whisper.cpp/actions/runs/11019444420/job/30627193602
 #  android_java:
-#    runs-on: ubuntu-latest
+#    runs-on: ubuntu-22.04
 #
 #    steps:
 #      - name: Clone
@@ -657,7 +784,7 @@ jobs:
 #          PGP_PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }}
 
   quantize:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
 
     steps:
       - name: Clone
@@ -666,5 +793,6 @@ jobs:
       - name: Test quantize
         run: |
           ./models/download-ggml-model.sh tiny.en
-          make quantize
-          ./quantize models/ggml-tiny.en.bin models/ggml-tiny.en-q4_0.bin q4_0
+          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

.github/workflows/docker.yml

@@ -11,13 +11,13 @@ jobs:
     name: Push Docker image to Docker Hub
     if: github.event.pull_request.draft == false
 
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
     env:
       COMMIT_SHA: ${{ github.sha }}
     strategy:
       matrix:
         config:
-          - { tag: "main", dockerfile: ".devops/main.Dockerfile", platform: "linux/amd64,linux/arm64" }
+          - { 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" }
@@ -45,7 +45,7 @@ jobs:
         with:
           context: .
           push: true
-          platforms: ${{ matrix.config.platforms }}
+          platforms: ${{ matrix.config.platform }}
           tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}-${{ env.COMMIT_SHA }}"
           file: ${{ matrix.config.dockerfile }}
 
@@ -54,6 +54,6 @@ jobs:
         with:
           context: .
           push: ${{ github.event_name == 'push' }}
-          platforms: ${{ matrix.config.platforms }}
+          platforms: ${{ matrix.config.platform }}
           tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}"
           file: ${{ matrix.config.dockerfile }}

.github/workflows/examples.yml

@@ -10,8 +10,8 @@ on:
       - whisper.h
 
 jobs:
-  addon_node-ubuntu-latest:
-    runs-on: ubuntu-latest
+  addon_node-ubuntu-22:
+    runs-on: ubuntu-22.04
     strategy:
       matrix:
         node-version: [ 16.x, 18.x ]
@@ -22,7 +22,7 @@ jobs:
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential
+          sudo apt-get install build-essential git
           sudo apt-get install cmake
           sudo apt-get install libsdl2-dev
 

.gitignore

@@ -1,5 +1,6 @@
 *.o
 *.a
+*.d
 .cache/
 .coreml/
 .test/
@@ -19,6 +20,9 @@ build-*/
 .swiftpm
 *.metallib
 
+ggml-metal-embed.metal
+ggml-metal-embed.metal.tmp
+
 /main
 /stream
 /command

AUTHORS

@@ -1,34 +1,51 @@
-# date: Tue Apr  9 20:27:03 EEST 2024
+# date: Tue Feb  4 13:03:35 EET 2025
 # this file is auto-generated by scripts/gen-authors.sh
 
 0/0 <zero@imaskeleton.me>
 0cc4m <picard12@live.de>
 0xsourcecode <134374803+0xsourcecode@users.noreply.github.com>
+65a <10104049+65a@users.noreply.github.com>
+AIWintermuteAI <32562299+AIWintermuteAI@users.noreply.github.com>
 AT <manyoso@users.noreply.github.com>
 Aarni Koskela <akx@iki.fi>
 Aaron Pham <29749331+aarnphm@users.noreply.github.com>
 Aaron Taylor <aaron@exphat.com>
 Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
 Abitofevrything <54505189+abitofevrything@users.noreply.github.com>
+Adam Jones <domdomegg+git@gmail.com>
+Adrien Gallouët <adrien@gallouet.fr>
+Adrien Gallouët <angt@huggingface.co>
 AfryMask <AfryMask@163.com>
 Ahmad Bilal <ahmad.bilal@empglabs.com>
+Ahmad Tameem <113388789+Tameem-10xE@users.noreply.github.com>
 AidanBeltonS <87009434+AidanBeltonS@users.noreply.github.com>
+AidanBeltonS <aidan.belton@codeplay.com>
+Akarshan Biswas <akarshan.biswas@gmail.com>
+Akarshan Biswas <akarshanbiswas@fedoraproject.org>
 Akash Mahajan <akash7190@gmail.com>
 Akash Mahajan <akashmjn@stanford.edu>
 Al Hoang <3811822-hoanga@users.noreply.gitlab.com>
 Alan <unknown>
+Albert Jin <albert.jin@gmail.com>
+Alberto Cabrera Pérez <alberto.cabrera@codeplay.com>
+Alberto Cabrera Pérez <alberto.cabrera@intel.com>
 Aleksander Andrzejewski <18704749+aleksanderandrzejewski@users.noreply.github.com>
 Alex Azarov <alex@azarov.by>
 Alex Bacart <13940752+alex-bacart@users.noreply.github.com>
 Alex Evgrashin <aevgrashin@yandex.ru>
+Alex O'Connell <35843486+acon96@users.noreply.github.com>
 Alexandr Graschenkov <alexandr.graschenkov91@gmail.com>
 Alexandru Mariuti <alex@mariuti.com>
 Alexey Kharlamov <alexey@kharlamov.biz>
 Alfredo Montesinos <alfredo.montesinos@g.austincc.edu>
 Ali Alameh <ali.alameh@isae.edu.lb>
+Alter <0x7c48@gmail.com>
 Ananta Bastola <anantarajbastola@gmail.com>
+Andreas Kieslinger <47689530+aendk@users.noreply.github.com>
+Andreas Lubbe <git@lubbe.org>
 Andreu Huguet <andreuhuguet@gmail.com>
 Andrew Huynh <a5thuynh@gmail.com>
+Andrew Minh Nguyen <40281306+amqdn@users.noreply.github.com>
 Andrew S <andrews54757@gmail.com>
 Andy Maloney <asmaloney@gmail.com>
 Anton Kostin <masguit42@users.noreply.github.com>
@@ -40,8 +57,11 @@ AustinMroz <austinmroz@utexas.edu>
 Avik Sengupta <avik@sengupta.net>
 Bader-eddine Ouaich <49657842+baderouaich@users.noreply.github.com>
 Baffin Lee <baffinlee@gmail.com>
+Ben Ashbaugh <ben.ashbaugh@intel.com>
 Ben Nortier <bjnortier@gmail.com>
 Benjamin Heiniger <benjamin.heiniger@bluewin.ch>
+Bernhard M. Wiedemann <githubbmwprimary@lsmod.de>
+Binozo <70137898+Binozo@users.noreply.github.com>
 Bo-Yi Wu <appleboy.tw@gmail.com>
 Boris Bliznioukov <blib@mail.com>
 Borislav Stanimirov <b.stanimirov@abv.bg>
@@ -49,47 +69,86 @@ Brad Murray <59848399+bradmurray-dt@users.noreply.github.com>
 Brian Murray <brian@bmurray.ca>
 CRD716 <crd716@gmail.com>
 Canis Lupus <Canis-UK@users.noreply.github.com>
+Carlos Zoido <mrgalleta@gmail.com>
 Carolinabanana <140120812+Carolinabanana@users.noreply.github.com>
+CarterLi999 <664681047@qq.com>
 ChangSeok Oh <shivamidow@users.noreply.github.com>
+Changyeon Kim <cyzero.kim@samsung.com>
 Chaoqun <27287694+OpenWaygate@users.noreply.github.com>
+Charles Xu <63788048+chaxu01@users.noreply.github.com>
+Charles Xu <charles.xu@arm.com>
+Chen Xi <xi2.chen@intel.com>
+Chen Xi <xixichen08@foxmail.com>
+Chenguang Li <87689256+noemotiovon@users.noreply.github.com>
 Chia-Hsiang Cheng <88014292+garychia@users.noreply.github.com>
 Chidi Williams <williamschidi1@gmail.com>
+Chris Elrod <elrodc@gmail.com>
 Christian <12550267+iceychris@users.noreply.github.com>
+Christian Kastner <ckk@kvr.at>
 Clifford Heath <clifford.heath@gmail.com>
+Clint Herron <hanclinto@gmail.com>
 Colin <github@whoisc.cc>
+Conrad Kramer <conrad@conradkramer.com>
+Corey Earwood <iamcgn+github@gmail.com>
+CrispStrobe <154636388+CrispStrobe@users.noreply.github.com>
+DAN™ <dranger003@gmail.com>
 DGdev91 <DGdev91@users.noreply.github.com>
 Damian Czaja <trojan295@protonmail.com>
+Dan Johansson <164997844+eddnjjn@users.noreply.github.com>
+Dan Johansson <dan.johansson@arm.com>
 Daniel Bevenius <daniel.bevenius@gmail.com>
+Daniel Valdivia <18384552+dvaldivia@users.noreply.github.com>
+Daniel Ziegenberg <daniel@ziegenberg.at>
+Daniele <57776841+daniandtheweb@users.noreply.github.com>
+Dave <dave-fl@users.noreply.github.com>
+Dave Airlie <airlied@gmail.com>
+Dave Airlie <airlied@redhat.com>
+Daven Sanassy <daven@vochlea.co.uk>
 David <dnhkng@gmail.com>
 David Thorpe <djt@mutablelogic.com>
+DavidKorczynski <david@adalogics.com>
 Davidson Francis <davidsondfgl@gmail.com>
 Dener Stassun <denerstassun@gmail.com>
+Dibakar Gope <dibakar.gope@arm.com>
 Didzis Gosko <didzis@users.noreply.github.com>
+Diego Devesa <slarengh@gmail.com>
 Digipom <admin@digipom.com>
 Dimo <dimo@ieee.org>
+Djip007 <3705339+Djip007@users.noreply.github.com>
+Djip007 <djip.perois@free.fr>
 Dody Suria Wijaya <dodysw@gmail.com>
+Dou Xinpeng <15529241576@163.com>
+Dou Xinpeng <81913537+Dou-Git@users.noreply.github.com>
 Dr. Tom Murphy VII Ph.D <499244+tom7@users.noreply.github.com>
 Duncan McConnell <ddmcconnell4@gmail.com>
 Egor Egorov <me@egorfine.com>
 Elkana Bardugo <ttv200@gmail.com>
 Emmanuel Schmidbauer <eschmidbauer@gmail.com>
 Engininja2 <139037756+Engininja2@users.noreply.github.com>
+Eric Curtin <ericcurtin17@gmail.com>
 Eric Swanson <eswanson@alloscomp.com>
 Eric Tendian <erictendian@gmail.com>
+Eric Zhang <34133756+EZForever@users.noreply.github.com>
 Erik Scholz <Green-Sky@users.noreply.github.com>
 Evan Jones <evan.q.jones@gmail.com>
 Evan Martin <evan.martin@gmail.com>
 Eve <139727413+netrunnereve@users.noreply.github.com>
 Evgeny Kuznetsov <evgeny@kuznetsov.md>
 F1L1P <78918286+F1L1Pv2@users.noreply.github.com>
+Faisal Zaghloul <quic_fzaghlou@quicinc.com>
 Fangjun Kuang <csukuangfj@gmail.com>
 Felix <stenbackfelix@gmail.com>
 Finn Voorhees <finnvoorhees@gmail.com>
+FirstTimeEZ <179362031+FirstTimeEZ@users.noreply.github.com>
 FlippFuzz <41221030+FlippFuzz@users.noreply.github.com>
+Frankie Robertson <frankier@users.noreply.github.com>
 Gang Chen <goncha@gmail.com>
 Gavin Cai <gavin1818@hotmail.com>
 George Hindle <george@georgehindle.com>
 Georgi Gerganov <ggerganov@gmail.com>
+Gilad S <7817232+giladgd@users.noreply.github.com>
+Gilad S <giladgd@users.noreply.github.com>
+Gilad S. <7817232+giladgd@users.noreply.github.com>
 GitAritron <103900385+GitAritron@users.noreply.github.com>
 GiviMAD <GiviMAD@users.noreply.github.com>
 Gleicon Moraes <gleicon@gmail.com>
@@ -98,41 +157,66 @@ Guillaume Wenzek <gwenzek@users.noreply.github.com>
 HY. Kelvin Lee <34256578+hykelvinlee42@users.noreply.github.com>
 Halalaluyafail3 <55773281+Halalaluyafail3@users.noreply.github.com>
 Hang <bebound@gmail.com>
+Haus1 <haus.xda@gmail.com>
 Herman Semenov <GermanAizek@yandex.ru>
+HimariO <dsfhe49854@gmail.com>
+Hong Bo PENG <penghb@cn.ibm.com>
 Hrishikesh Barman <geekodour@users.noreply.github.com>
+Hugo <hugo@whynothugo.nl>
 Ian Bicking <ian@ianbicking.org>
 Ian Bull <irbull@eclipsesource.com>
+Ihar Hrachyshka <ihrachys@redhat.com>
 Ikko Ashimine <eltociear@gmail.com>
+Ikko Eltociear Ashimine <eltociear@gmail.com>
 InconsolableCellist <23345188+InconsolableCellist@users.noreply.github.com>
 Ismatulla Mansurov <47342870+sapoepsilon@users.noreply.github.com>
+Ivan <nekotekina@gmail.com>
+Ivan Filipov <159561759+vanaka11@users.noreply.github.com>
 Ivan Gorin <ivangorin21@gmail.com>
+Ivo von Putzer Reibegg <ivo.putzer@gmail.com>
 JJ <103335846+computerscienceiscool@users.noreply.github.com>
 Jack Mousseau <jmousseau@users.noreply.github.com>
 JacobLinCool <jacoblincool@gmail.com>
 Jakub Ráček <blizzcz@gmail.com>
 Jared Van Bortel <jared@nomic.ai>
 Jay Binks <jaybinks@gmail.com>
+Jayant <jayantyadav202@gmail.com>
+Jeff Bolz <jbolz@nvidia.com>
+Jeroen Mostert <jeroen.mostert@cm.com>
 Jhen-Jie Hong <developer@jhen.me>
 Jhen-Jie Hong <iainst0409@gmail.com>
 JidongZhang-THU <1119708529@qq.com>
 Jo Liss <joliss42@gmail.com>
+Joe Todd <joe.todd@codeplay.com>
 Johan <jr.raffin@gmail.com>
 Johannes Gäßler <johannesg@5d6.de>
 John Balis <phobossystems@gmail.com>
+JohnnyB <jboero@users.noreply.github.com>
 Jonathan Soo <jcsoo@agora.com>
 Jonno <1160532+razodactyl@users.noreply.github.com>
 Joonas Pihlajamaa <joonas.pihlajamaa@iki.fi>
 Jose <34888496+Jerry-Master@users.noreply.github.com>
 Josh Bleecher Snyder <josharian@gmail.com>
+Josscii <jossciiweiyi@gmail.com>
 Judd <foldl@users.noreply.github.com>
 Jumper775 <78500318+jumpers775@users.noreply.github.com>
+Jun Hee Yoo <contact.jhyoo@gmail.com>
+Junil Kim <logyourself@gmail.com>
+Justina Cho <justcho5@gmail.com>
 Justine Tunney <jtunney@gmail.com>
+Justine Tunney <jtunney@mozilla.com>
+KITAITI Makoto <KitaitiMakoto@gmail.com>
 KP Kaiser <kirk@zothcorp.com>
 Kamilake <exjang0@gmail.com>
+Karol Kontny <82021046+kkontny@users.noreply.github.com>
+Karthick <j.karthic2004@gmail.com>
 Kartik Saranathan <278928+Kartiku@users.noreply.github.com>
 Kasumi <90275229+kasumi-1@users.noreply.github.com>
 Kawrakow <48489457+ikawrakow@users.noreply.github.com>
+Kendrick Taylor <kendrick@circuitsix.com>
 Kevin Brothaler <admin@digipom.com>
+Kevin Gibbons <bakkot@gmail.com>
+Konosuke Sakai <konosuke@konosuke.work>
 Konstantin Zhuravlyov <konstantin.zhuravlyov@amd.com>
 Kreijstal <rainb@tfwno.gf>
 Kylin <56434533+KyL0N@users.noreply.github.com>
@@ -147,56 +231,110 @@ Luis Herrera <herrera-luis@users.noreply.github.com>
 Lukas Rist <glaslos@gmail.com>
 M. A. Ali <73258591+MightyStud@users.noreply.github.com>
 M. Eren Akbiyik <erenakbiyik@gmail.com>
+Ma Mingfei <mingfei.ma@intel.com>
 Maciek <maciek.mab122@gmail.com>
+Mahesh Madhav <67384846+heshpdx@users.noreply.github.com>
 Marcin Mielniczuk <marmistrz.dev@zoho.eu>
+Mark Karpelès <MagicalTux@users.noreply.github.com>
+Mark Zhuang <zhuangqiubin@gmail.com>
+Markus Tavenrath <mtavenrath@users.noreply.github.com>
+Martin Delille <martin@delille.org>
 Martin Warnaar <martinwarnaar@gmail.com>
+Masaya, Kato <62578291+msy-kato@users.noreply.github.com>
 Matheus de Sousa <23645013+keyehzy@users.noreply.github.com>
+Mathieu Baudier <mbaudier@argeo.org>
 Mathijs de Bruin <mathijs@mathijsfietst.nl>
 Matija Pevec <mightymatth@users.noreply.github.com>
+Matt Stephenson <mstephenson6@users.noreply.github.com>
+Max Krasnyansky <max.krasnyansky@gmail.com>
+Max Krasnyansky <quic_maxk@quicinc.com>
 Maximiliano Levi <8160966+maxilevi@users.noreply.github.com>
 Meng, Hengyu <hengyu.meng@intel.com>
+Mengqing Cao <cmq0113@163.com>
 Michael Podvitskiy <podvitskiymichael@gmail.com>
 Michael Rienstra <mrienstra@gmail.com>
 Mikhail Grigorev <sleuthhound@gmail.com>
 Mohammadreza Hendiani <hendiani.mohammadreza@gmail.com>
 Mohit Agarwal <mohit@sdf.org>
+Molly Sophia <mollysophia379@gmail.com>
 Murilo Santana <mvrilo@gmail.com>
+NETZkultur GmbH <mulholland@netzkultur.de>
+Natsu <chino@hotococoa.moe>
 Neil Chudleigh <nchudleigh@users.noreply.github.com>
+Neo Zhang <14088817+arthw@users.noreply.github.com>
 Neo Zhang Jianyu <jianyu.zhang@intel.com>
 Neuman Vong <neuman.vong@gmail.com>
+Nicholai Tukanov <nicholaitukanov@gmail.com>
 Nicholas Albion <nalbion@yahoo.com>
+Nico Bosshard <nico@bosshome.ch>
+Nicolò Scipione <nicolo.scipione@codeplay.com>
 Niels Mayer <Niels.Mayer@gmail.com>
+Nikita Sarychev <42014488+sARY77@users.noreply.github.com>
+Nikolaj Olsson <nikse.dk@gmail.com>
 Okabintaro <103938900+Okabintaro@users.noreply.github.com>
 Oleg Sidorov <me@whitebox.io>
 Oleg Sidorov <oleg@sidorov.nl>
+Olivier Chafik <ochafik@users.noreply.github.com>
 Ondrej Kokes <ondrej.kokes@gmail.com>
 Ouadie EL FAROUKI <ouadie.elfarouki@codeplay.com>
+PAB <pierreantoine.bannier@gmail.com>
 Paul Tsochantaris <ptsochantaris@icloud.com>
+Pedro Probst <pprobst@insiberia.net>
+Peng <hzp1024@qq.com>
+Peter <peter277@users.noreply.github.com>
 Philipp Zabel <philipp.zabel@gmail.com>
 Philippe Normand <phil@base-art.net>
+Philippe Normand <philn@igalia.com>
+Plamen Minev <pacominev@gmail.com>
+Prashant Vithule <119530321+Vithulep@users.noreply.github.com>
 Przemysław Pawełczyk <przemoc@gmail.com>
 Qianhe Chen <54462604+chenqianhe@users.noreply.github.com>
+R0CKSTAR <xiaodong.ye@mthreads.com>
+R0CKSTAR <yeahdongcn@gmail.com>
+Radoslav Gerganov <rgerganov@gmail.com>
 Radosław Gryta <radek.gryta@gmail.com>
+Rahul Vadhyar <107788610+RahulVadhyar@users.noreply.github.com>
+Raiya Araki <83504221+rai62@users.noreply.github.com>
 Reinforce-II <fate@eastal.com>
 Reinis Muiznieks <muiznieks.reinis@gmail.com>
 RelatedTitle <r3latedtitle@gmail.com>
+Rémy Oudompheng <oudomphe@phare.normalesup.org>
 RhinoDevel <RhinoDevel@users.noreply.github.com>
 Rich Jones <miserlou@gmail.com>
+Robert Ormandi <52251610+ormandi@users.noreply.github.com>
 Robin <robin.xw@hotmail.com>
 Roddur Dasgupta <roddurd@gmail.com>
 Roland Rabien <figbug@gmail.com>
+Romain Biessy <romain.biessy@codeplay.com>
+Ronsor <ronsor@ronsor.pw>
 Rotem Dan <rotemdan@gmail.com>
 Ryan Hitchman <hitchmanr@gmail.com>
 Ryan Metcalfe <107415876+RyanMetcalfeInt8@users.noreply.github.com>
 RyanChang <ftes90015@gmail.com>
+SRHMorris <69468379+SRHMorris@users.noreply.github.com>
+SXX <sxx1136965276@gmail.com>
+Sacha Arbonel <sacha.arbonel@hotmail.fr>
+Salman Faroz <stsfaroz@gmail.com>
+Salvatore Mesoraca <s.mesoraca16@gmail.com>
 Sam <49637763+Onlyartist9@users.noreply.github.com>
 Sam Pullara <spullara@gmail.com>
+Samuel Durante <44513615+samueldurantes@users.noreply.github.com>
 Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
+Sandro Hanea <40202887+sandrohanea@users.noreply.github.com>
+Sergio López <slp@redhat.com>
 Sergio López <slp@sinrega.org>
+Shanshan Shen <467638484@qq.com>
+Shijie <821898965@qq.com>
+Shupei Fan <dymarkfan@outlook.com>
 Siddharth Ramakrishnan <srr2141@columbia.edu>
+Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
 Simon Moisselin <simon.moisstoll@gmail.com>
 Sindre Sorhus <sindresorhus@gmail.com>
 Slava Primenko <primenko.s@gmail.com>
+Srihari-mcw <96763064+Srihari-mcw@users.noreply.github.com>
+Stavros Panakakis <53979866+Stavrospanakakis@users.noreply.github.com>
+Stefan Sydow <s.sydow@heinlein-video.de>
+Stefan Sydow <stefan@sydow.email>
 Syahmi Azhar <prsyahmi@gmail.com>
 Syed Jafri <syedjafri97@gmail.com>
 Sơn Phan Trung <phantrungson17@gmail.com>
@@ -205,37 +343,63 @@ Takeshi Inoue <inoue.takeshi@gmail.com>
 Tamotsu Takahashi <ttakah+github@gmail.com>
 Taras Glek <taras@thegp.com>
 Tauseef Mohiuddin <35351464+tauseefmohammed2@users.noreply.github.com>
+Thamster <Thamster@users.noreply.github.com>
 Thijs Raymakers <thijs@raymakers.nl>
 Thomas Fitzsimmons <fitzsim@fitzsim.org>
 Tiago Fassoni <tiagofassoni@users.noreply.github.com>
 Tienshiao Ma <tienshiao@tienshiao.org>
+Tim Miller <drasticactions@users.noreply.github.com>
 Timothy Cronin <40186632+4imothy@users.noreply.github.com>
 Tobrun <tobrun.van.nuland@gmail.com>
 Todd <taf2@users.noreply.github.com>
+Toliver <teejae@gmail.com>
 Tong Li <31761981+litongjava@users.noreply.github.com>
+Tony Wasserka <4840017+neobrain@users.noreply.github.com>
 Topping1 <78745143+Topping1@users.noreply.github.com>
 Travis Cline <travis.cline@gmail.com>
 UEXTM.com <84163508+uextm@users.noreply.github.com>
+UsernamesLame <156965854+UsernamesLame@users.noreply.github.com>
 Vadim Peretokin <vperetokin@hey.com>
 Valentin Gosu <1454649+valenting@users.noreply.github.com>
+Vin Misra <vinith@alum.mit.edu>
 Vulcan <93451215+trholding@users.noreply.github.com>
 WhiteOlivierus <36532695+WhiteOlivierus@users.noreply.github.com>
+William Tambellini <william.tambellini@gmail.com>
+William Tambellini <wtambellini@sdl.com>
+Wilson Silva <wilson.dsigns@gmail.com>
 Xiang (Kevin) Li <kevinli020508@gmail.com>
 Xiao-Yong Jin <jinxiaoyong@gmail.com>
 XiaotaoChen <chenxiaotao1234@gmail.com>
+Xingchen Song(宋星辰) <xingchensong1996@163.com>
+Xinpeng Dou <81913537+Dou-Git@users.noreply.github.com>
+Xuan Son Nguyen <thichthat@gmail.com>
 Yajing Tang <phillis@google.com>
 Yang Shen <aplshenyang@gmail.com>
 Yunès <jean.baptiste.yunes@free.fr>
+Yuri Khrustalev <ykhrustalev@users.noreply.github.com>
+Yusuf Redžić <48274562+redzic@users.noreply.github.com>
 ZaBlazzingZephyrus <119159668+blazingzephyr@users.noreply.github.com>
+Zhenwei Jin <109658203+kylo5aby@users.noreply.github.com>
+Zhiyuan Li <lizhiyuan@uniartisan.com>
+Zhiyuan Li <uniartisan2017@gmail.com>
 Zigfrid Zvezdin <ziggerZZ@gmail.com>
 Zollner <24618122+Zolliner@users.noreply.github.com>
+a3sh <38979186+A3shTnT@users.noreply.github.com>
+ag2s20150909 <19373730+ag2s20150909@users.noreply.github.com>
+agray3 <agray3@users.noreply.github.com>
 ai-at-home <149282006+ai-at-home@users.noreply.github.com>
+aldorof <aldorof@users.noreply.github.com>
 alonfaraj <alonfaraj@gmail.com>
+amd-dwang <dong.wang@amd.com>
+amritahs-ibm <amritahs@linux.vnet.ibm.com>
 andypayne <apayne@gmail.com>
 ardfork <134447697+ardfork@users.noreply.github.com>
+arizhih <40765267+arizhih@users.noreply.github.com>
 automaticcat <daogiatuank54@gmail.com>
+bandoti <141645996+bandoti@users.noreply.github.com>
 be-next <jerome.ramette@gmail.com>
 bert hubert <bert@hubertnet.nl>
+billyct <billy_allen@126.com>
 bmwl <brian.marshall@tolko.com>
 bobqianic <129547291+bobqianic@users.noreply.github.com>
 bocytko <bocytko+github@gmail.com>
@@ -248,7 +412,9 @@ byte-6174 <88070277+byte-6174@users.noreply.github.com>
 cdosoftei <ciprian.dosoftei@gmail.com>
 clach04 <Chris.Clark@actian.com>
 compilade <113953597+compilade@users.noreply.github.com>
+compilade <git@compilade.net>
 conradg <conradjgodfrey@gmail.com>
+crummyh <elijah@crums.us>
 ddpasa <112642920+ddpasa@users.noreply.github.com>
 denersc <denerstassun@gmail.com>
 dscripka <dscripka@users.noreply.github.com>
@@ -256,28 +422,55 @@ duthils <duthils@duthils.net>
 ecneladis <ecneladis@users.noreply.github.com>
 faker <nspyia2002@gmail.com>
 fitzsim <fitzsim@fitzsim.org>
+fj-y-saito <85871716+fj-y-saito@users.noreply.github.com>
 fraxy-v <65565042+fraxy-v@users.noreply.github.com>
 genevera (she/her) <genevera@users.noreply.github.com>
 geniusnut <geniusnut@gmail.com>
+gilbertgong <gilbert.gong@gmail.com>
+gn64 <yukikaze.jp@gmail.com>
+goldwaving <77494627+goldwaving@users.noreply.github.com>
 greeshmay <greeshmay@gmail.com>
+haopeng <657407891@qq.com>
+hipudding <huafengchun@gmail.com>
+hsinhoyeh <yhh92u@gmail.com>
 hydai <z54981220@gmail.com>
 iamthad <thadeus.j.fleming@gmail.com>
+issixx <46835150+issixx@users.noreply.github.com>
 james wolf <contractorwolf@hotmail.com>
+jdomke <28772296+jdomke@users.noreply.github.com>
+jettoblack <jettoblack@gmail.com>
+jiez <373447296@qq.com>
 joecryptotoo <80373433+joecryptotoo@users.noreply.github.com>
 jorismertz <35079666+jorismertz@users.noreply.github.com>
+junchao-loongson <68935141+junchao-loongson@users.noreply.github.com>
 junkfood <69683722+JunkFood02@users.noreply.github.com>
 jwijffels <jwijffels@bnosac.be>
+k.h.lai <adrian.k.h.lai@outlook.com>
 kamranjon <kamranjon@gmail.com>
 katsu560 <katsu560oo-@docomo.ne.jp>
 kennethge <57784063+kenneth-ge@users.noreply.github.com>
 keyehzy <msamuel@aluno.puc-rio.br>
+kunnis <kunnis@users.noreply.github.com>
+l3utterfly <gc.pthzfoldr@gmail.com>
 leejet <leejet714@gmail.com>
+leo-pony <nengjunma@outlook.com>
+lhez <quic_lih@quicinc.com>
 litong <31761981+litongjava@users.noreply.github.com>
+liuwei-git <14815172+liuwei-git@users.noreply.github.com>
 lnyan <lkwq007@gmail.com>
+luoyu-intel <yu.luo@intel.com>
 m.bell <m.bell@techsmith.com>
+mahorozte <41834471+mahorozte@users.noreply.github.com>
+mashizora <30516315+mashizora@users.noreply.github.com>
+matt23654 <matthew.webber@protonmail.com>
+matteo <matteogeniaccio@yahoo.it>
+mgrachten <maarten@grachten.eu>
 mkiol <mkiol@users.noreply.github.com>
+mky_coder <47767389+mkycoder@users.noreply.github.com>
 novag <7754358+novag@users.noreply.github.com>
 pajowu <pajowu@pajowu.de>
+pengxin99 <pengxin.yuan@intel.com>
+petterreinholdtsen <pere-github@hungry.com>
 polarmoon <90010972+polarmoon@users.noreply.github.com>
 rlapray <lapray.romain@gmail.com>
 sandrohanea <40202887+sandrohanea@users.noreply.github.com>
@@ -287,15 +480,31 @@ shikokuchuo <53399081+shikokuchuo@users.noreply.github.com>
 slaren <slarengh@gmail.com>
 slashlib <slashlib@users.noreply.github.com>
 snadampal <87143774+snadampal@users.noreply.github.com>
+someone13574 <81528246+someone13574@users.noreply.github.com>
 st-gr <38470677+st-gr@users.noreply.github.com>
+stduhpf <stephduh@live.fr>
+stormofice <58337328+stormofice@users.noreply.github.com>
 texmex76 <40733439+texmex76@users.noreply.github.com>
 thefinaldegree <thefinaldegree@gmail.com>
+thewh1teagle <61390950+thewh1teagle@users.noreply.github.com>
+toboil-features <160222185+toboil-features@users.noreply.github.com>
 trixirt <trix@redhat.com>
 ulatekh <ulatekh@yahoo.com>
 undef <undefdev@gmail.com>
+uvos <devnull@uvos.xyz>
+uvos <philipp@uvos.xyz>
+valVk <valVk@users.noreply.github.com>
 venkr <venkateshrameshkumar+1@gmail.com>
 vicalloy <zbirder@gmail.com>
+wangshuai09 <391746016@qq.com>
+woachk <24752637+woachk@users.noreply.github.com>
+xctan <axunlei@gmail.com>
 xdrudis <xavierdrudis@yahoo.es>
+yuri@FreeBSD <yuri@FreeBSD>
+zhangjixiong <code.zjx@gmail.com>
+zhentaoyu <zhentao.yu@intel.com>
 zhouwg <6889919+zhouwg@users.noreply.github.com>
+zhouwg <zhouwg2000@gmail.com>
+谢乃闻 <sienaiwun@users.noreply.github.com>
 布客飞龙 <562826179@qq.com>
 Артём Земляк <azemlyak@smart-consulting.ru>

CMakeLists.txt

@@ -1,6 +1,6 @@
 cmake_minimum_required(VERSION 3.5) # for add_link_options and implicit target directories.
 project("whisper.cpp" C CXX)
-project("whisper.cpp" VERSION 1.7.1)
+project("whisper.cpp" VERSION 1.7.4)
 include(CheckIncludeFileCXX)
 
 set(SOVERSION 1)

Package.swift

@@ -14,47 +14,6 @@ let package = Package(
         .library(name: "whisper", targets: ["whisper"]),
     ],
     targets: [
-        .target(
-            name: "whisper",
-            path: ".",
-            exclude: [
-               "bindings",
-               "cmake",
-               "coreml",
-               "examples",
-               "extra",
-               "models",
-               "samples",
-               "tests",
-               "CMakeLists.txt",
-               "Makefile"
-            ],
-            sources: [
-                "ggml/src/ggml.c",
-                "src/whisper.cpp",
-                "ggml/src/ggml-aarch64.c",
-                "ggml/src/ggml-alloc.c",
-                "ggml/src/ggml-backend.cpp",
-                "ggml/src/ggml-quants.c",
-                "ggml/src/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
+        .systemLibrary(name: "whisper", pkgConfig: "whisper"),
+    ]
 )

README.md

@@ -7,21 +7,25 @@
 [![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: [v1.7.1](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.7.1) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
+> [!NOTE]
+> New maintenance roadmap: https://github.com/ggerganov/whisper.cpp/discussions/2788
+
+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)
 
 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](https://github.com/ggerganov/whisper.cpp#core-ml-support)
+- Apple Silicon first-class citizen - optimized via ARM NEON, Accelerate framework, Metal and [Core ML](#core-ml-support)
 - AVX intrinsics support for x86 architectures
-- VSX intrinsics support for POWER architectures
+- [VSX intrinsics support for POWER architectures](#power-vsx-intrinsics)
 - Mixed F16 / F32 precision
-- [4-bit and 5-bit integer quantization support](https://github.com/ggerganov/whisper.cpp#quantization)
+- [Integer quantization support](#quantization)
 - Zero memory allocations at runtime
+- [Vulkan support](#vulkan-gpu-support)
 - Support for CPU-only inference
-- [Efficient GPU support for NVIDIA](https://github.com/ggerganov/whisper.cpp#nvidia-gpu-support-via-cublas)
-- [OpenVINO Support](https://github.com/ggerganov/whisper.cpp#openvino-support)
-- [Ascend NPU Support](https://github.com/ggerganov/whisper.cpp#ascend-npu-support)
+- [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)
 
 Supported platforms:
@@ -52,18 +56,6 @@ 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/include/ggml.h) / [ggml.c](ggml/src/ggml.c))
-- The transformer model and the high-level C-style API are implemented in C++ ([whisper.h](include/whisper.h) / [whisper.cpp](src/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:
@@ -72,140 +64,38 @@ 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
 ```
 
-Now build the [main](examples/main) example and transcribe an audio file like this:
+Now build the [whisper-cli](examples/cli) example and transcribe an audio file like this:
 
 ```bash
-# build the main example
-make
+# build the project
+cmake -B build
+cmake --build build --config Release
 
 # transcribe an audio file
-./main -f samples/jfk.wav
+./build/bin/whisper-cli -f samples/jfk.wav
 ```
 
 ---
 
-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
-
-
-sh ./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
-```
+For a quick demo, simply run `make base.en`.
 
 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: `./main -h`
+For detailed usage instructions, run: `./build/bin/whisper-cli -h`
 
-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.
+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.
 For example, you can use `ffmpeg` like this:
 
 ```bash
@@ -217,7 +107,7 @@ 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 samples
+make -j samples
 ```
 
 This will download a few more audio files from Wikipedia and convert them to 16-bit WAV format via `ffmpeg`.
@@ -225,18 +115,18 @@ 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 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
-make large-v3-turbo
+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
 ```
 
 ## Memory usage
@@ -249,6 +139,20 @@ make large-v3-turbo
 | medium | 1.5 GiB | ~2.1 GB |
 | large  | 2.9 GiB | ~3.9 GB |
 
+## POWER VSX Intrinsics
+
+`whisper.cpp` supports POWER architectures and includes code which
+significantly speeds operation on Linux running on POWER9/10, making it
+capable of faster-than-realtime transcription on underclocked Raptor
+Talos II. Ensure you have a BLAS package installed, and replace the
+standard cmake setup with:
+
+```bash
+# build with GGML_BLAS defined
+cmake -B build -DGGML_BLAS=1
+cmake --build build --config Release
+./build/bin/whisper-cli [ .. etc .. ]
+
 ## Quantization
 
 `whisper.cpp` supports integer quantization of the Whisper `ggml` models.
@@ -258,11 +162,12 @@ Here are the steps for creating and using a quantized model:
 
 ```bash
 # quantize a model with Q5_0 method
-make quantize
-./quantize models/ggml-base.en.bin models/ggml-base.en-q5_0.bin q5_0
+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
 
 # run the examples as usual, specifying the quantized model file
-./main -m models/ggml-base.en-q5_0.bin ./samples/gb0.wav
+./build/bin/whisper-cli -m models/ggml-base.en-q5_0.bin ./samples/gb0.wav
 ```
 
 ## Core ML support
@@ -296,10 +201,6 @@ 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
@@ -308,7 +209,7 @@ speed-up - more than x3 faster compared with CPU-only execution. Here are the in
 - Run the examples as usual. For example:
 
   ```text
-  $ ./main -m models/ggml-base.en.bin -f samples/jfk.wav
+  $ ./build/bin/whisper-cli -m models/ggml-base.en.bin -f samples/jfk.wav
 
   ...
 
@@ -392,7 +293,7 @@ This can result in significant speedup in encoder performance. Here are the inst
 - Run the examples as usual. For example:
 
   ```text
-  $ ./main -m models/ggml-base.en.bin -f samples/jfk.wav
+  $ ./build/bin/whisper-cli -m models/ggml-base.en.bin -f samples/jfk.wav
 
   ...
 
@@ -409,7 +310,7 @@ 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 Core ML implementation please refer to PR [#1037](https://github.com/ggerganov/whisper.cpp/pull/1037).
+For more information about the OpenVINO implementation please refer to PR [#1037](https://github.com/ggerganov/whisper.cpp/pull/1037).
 
 ## NVIDIA GPU support
 
@@ -419,8 +320,18 @@ First, make sure you have installed `cuda`: https://developer.nvidia.com/cuda-do
 Now build `whisper.cpp` with CUDA support:
 
 ```
-make clean
-GGML_CUDA=1 make -j
+cmake -B build -DGGML_CUDA=1
+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
 ```
 
 ## BLAS CPU support via OpenBLAS
@@ -431,28 +342,13 @@ First, make sure you have installed `openblas`: https://www.openblas.net/
 Now build `whisper.cpp` with OpenBLAS support:
 
 ```
-make clean
-GGML_OPENBLAS=1 make -j
-```
-
-## BLAS CPU support via Intel MKL
-
-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
-
-Now build `whisper.cpp` with Intel MKL BLAS support:
-
-```
-source /opt/intel/oneapi/setvars.sh
-mkdir build
-cd build
-cmake -DWHISPER_MKL=ON ..
-WHISPER_MKL=1 make -j
+cmake -B build -DGGML_BLAS=1
+cmake --build build -j --config Release
 ```
 
 ## Ascend NPU support
 
-Ascend NPU provides inference acceleration via [`CANN`](https://www.hiascend.com/en/software/cann) and AI cores. 
+Ascend NPU provides inference acceleration via [`CANN`](https://www.hiascend.com/en/software/cann) and AI cores.
 
 First, check if your Ascend NPU device is supported:
 
@@ -466,16 +362,14 @@ Then, make sure you have installed [`CANN toolkit`](https://www.hiascend.com/en/
 Now build `whisper.cpp` with CANN support:
 
 ```
-mkdir build
-cd build
-cmake .. -D GGML_CANN=on
-make -j
+cmake -B build -DGGML_CANN=1
+cmake --build build -j --config Release
 ```
 
 Run the inference examples as usual, for example:
 
 ```
-./build/bin/main -f samples/jfk.wav -m models/ggml-base.en.bin -t 8
+./build/bin/whisper-cli -f samples/jfk.wav -m models/ggml-base.en.bin -t 8
 ```
 
 *Notes:*
@@ -529,89 +423,6 @@ 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.
@@ -619,8 +430,9 @@ 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
-make stream
-./stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000
+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
 ```
 
 https://user-images.githubusercontent.com/1991296/194935793-76afede7-cfa8-48d8-a80f-28ba83be7d09.mp4
@@ -631,7 +443,7 @@ Adding the `--print-colors` argument will print the transcribed text using an ex
 to highlight words with high or low confidence:
 
 ```bash
-./main -m models/ggml-base.en.bin -f samples/gb0.wav --print-colors
+./build/bin/whisper-cli -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">
@@ -641,7 +453,7 @@ 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
-$ ./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 16
+$ ./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 16
 
 whisper_model_load: loading model from './models/ggml-base.en.bin'
 ...
@@ -665,7 +477,7 @@ 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
-$ ./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 1
+$ ./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 1
 
 whisper_model_load: loading model from './models/ggml-base.en.bin'
 ...
@@ -712,7 +524,7 @@ Sample usage:
 ./models/download-ggml-model.sh small.en-tdrz
 
 # run as usual, adding the "-tdrz" command-line argument
-./main -f ./samples/a13.wav -m ./models/ggml-small.en-tdrz.bin -tdrz
+./build/bin/whisper-cli -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 ...
 ...
@@ -729,14 +541,14 @@ main: processing './samples/a13.wav' (480000 samples, 30.0 sec), 4 threads, 1 pr
 
 ## Karaoke-style movie generation (experimental)
 
-The [main](examples/main) example provides support for output of karaoke-style movies, where the
+The [whisper-cli](examples/cli) 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
-./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -owts
+./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -owts
 source ./samples/jfk.wav.wts
 ffplay ./samples/jfk.wav.mp4
 ```
@@ -746,7 +558,7 @@ https://user-images.githubusercontent.com/1991296/199337465-dbee4b5e-9aeb-48a3-b
 ---
 
 ```bash
-./main -m ./models/ggml-base.en.bin -f ./samples/mm0.wav -owts
+./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/mm0.wav -owts
 source ./samples/mm0.wav.wts
 ffplay ./samples/mm0.wav.mp4
 ```
@@ -756,7 +568,7 @@ https://user-images.githubusercontent.com/1991296/199337504-cc8fd233-0cb7-4920-9
 ---
 
 ```bash
-./main -m ./models/ggml-base.en.bin -f ./samples/gb0.wav -owts
+./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/gb0.wav -owts
 source ./samples/gb0.wav.wts
 ffplay ./samples/gb0.wav.mp4
 ```
@@ -781,7 +593,7 @@ 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 [bench](examples/bench) tool. The tool simply runs the Encoder part of the model and prints how much time it
+use the [whisper-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)
@@ -844,13 +656,12 @@ Some of the examples are even ported to run in the browser using WebAssembly. Ch
 
 | Example                                             | Web                                   | Description                                                                                                                     |
 | --------------------------------------------------- | ------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
-| [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-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                                                                                                           |
 | [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                                                                                    |
@@ -858,7 +669,7 @@ 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) |
-| [server](examples/server)                           |                                       | HTTP transcription server with OAI-like API                                                                                     |
+| [wchess](examples/wchess)                           | [wchess.wasm](examples/wchess)        | Voice-controlled chess                                                                                                          |
 
 ## [Discussions](https://github.com/ggerganov/whisper.cpp/discussions)
 

Sources/whisper/module.modulemap

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

Sources/whisper/whisper.h

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

bindings/java/README.md

@@ -67,5 +67,5 @@ copy /y ..\..\build\bin\Release\whisper.dll build\generated\resources\main\win32
 
 ## License
 
-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.
+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.
 

bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperFullParams.java

@@ -181,11 +181,11 @@ public class WhisperFullParams extends Structure {
     }
 
     /** Flag to suppress non-speech tokens. */
-    public CBool suppress_non_speech_tokens;
+    public CBool suppress_nst;
 
     /** Flag to suppress non-speech tokens. */
     public void suppressNonSpeechTokens(boolean enable) {
-        suppress_non_speech_tokens = enable ? CBool.TRUE : CBool.FALSE;
+        suppress_nst = 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_non_speech_tokens", "temperature", "max_initial_ts", "length_penalty",
+                "suppress_blank", "suppress_nst", "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",

bindings/javascript/package.json

@@ -1,6 +1,6 @@
 {
   "name": "whisper.cpp",
-  "version": "1.7.1",
+  "version": "1.7.4",
   "description": "Whisper speech recognition",
   "main": "whisper.js",
   "scripts": {

bindings/ruby/.gitignore

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

bindings/ruby/README.md

@@ -0,0 +1,245 @@
+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(
+  language: "en",
+  offset: 10_000,
+  duration: 60_000,
+  max_text_tokens: 300,
+  translate: true,
+  print_timestamps: false,
+  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)
+  .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)
+  .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

bindings/ruby/Rakefile

@@ -1,12 +1,66 @@
 require 'rake/clean'
-  require 'rubygems/package'
+require "bundler/gem_tasks"
+require "rake/testtask"
+require_relative "extsources"
 
-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)
+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
 end
+
+CLEAN.include SOURCES
+CLEAN.include FileList["ext/**/*.o", "ext/**/*.metal", "ext/**/*.tmp", "ext/whisper.{so,bundle,dll}"]
+
+SRC = FileList["ext/*.{c,cpp,h}"]
+
+task build: SOURCES
+
+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" => SRC + ["ext/extconf.rb"] + SOURCES do |t|
+  chdir "ext" do
+    ruby "extconf.rb"
+  end
+end
+
+file SO_FILE => "ext/Makefile" do |t|
+  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|
+  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]

bindings/ruby/ext/.gitignore

@@ -1,9 +1,11 @@
 Makefile
-ggml.c
-ggml.h
-ggml-alloc.c
-ggml-alloc.h
+whisper.so
 whisper.bundle
-whisper.cpp
-whisper.h
-dr_wav.h
+whisper.dll
+scripts/get-flags.mk
+*.o
+/*/**/*.c
+/*/**/*.cpp
+/*/**/*.h
+/*/**/*.m
+/*/**/*.metal

bindings/ruby/ext/cpu.mk

@@ -0,0 +1,9 @@
+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 $@

bindings/ruby/ext/extconf.rb

@@ -1,24 +1,10 @@
 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__),'..','..','..','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-aarch64.h')} .")
-system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-aarch64.c')} .")
-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.cpp')} .")
-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
-$CXXFLAGS << ' -std=c++11'
+$CXXFLAGS << ' -std=c++17'
+
+$LDFLAGS << ' -lstdc++'
+
 # Set to true when building binary gems
 if enable_config('static-stdlib', false)
   $LDFLAGS << ' -static-libgcc -static-libstdc++'
@@ -29,4 +15,192 @@ 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" <<
+  "ruby_whisper_context.o" <<
+  "ruby_whisper_transcribe.o" <<
+  "ruby_whisper_params.o" <<
+  "ruby_whisper_error.o" <<
+  "ruby_whisper_segment.o" <<
+  "ruby_whisper_model.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

bindings/ruby/ext/ggml-backend-impl.h

@@ -1,141 +0,0 @@
-#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

bindings/ruby/ext/ggml-backend.h

@@ -1,233 +0,0 @@
-#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

bindings/ruby/ext/ggml-cuda.h

@@ -1,43 +0,0 @@
-#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

bindings/ruby/ext/ggml-impl.h

@@ -1,272 +0,0 @@
-#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

bindings/ruby/ext/ggml-kompute.h

@@ -1,46 +0,0 @@
-#pragma once
-
-#include "ggml.h"
-#include "ggml-backend.h"
-
-#include <stdbool.h>
-#include <stddef.h>
-#include <stdint.h>
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-struct ggml_vk_device {
-    int index;
-    int type; // same as VkPhysicalDeviceType
-    size_t heapSize;
-    const char * name;
-    const char * vendor;
-    int subgroupSize;
-    uint64_t bufferAlignment;
-    uint64_t maxAlloc;
-};
-
-struct ggml_vk_device * ggml_vk_available_devices(size_t memoryRequired, size_t * count);
-bool ggml_vk_get_device(struct ggml_vk_device * device, size_t memoryRequired, const char * name);
-bool ggml_vk_has_vulkan(void);
-bool ggml_vk_has_device(void);
-struct ggml_vk_device ggml_vk_current_device(void);
-
-//
-// backend API
-//
-
-// forward declaration
-typedef struct ggml_backend * ggml_backend_t;
-
-GGML_API ggml_backend_t ggml_backend_kompute_init(int device);
-
-GGML_API bool ggml_backend_is_kompute(ggml_backend_t backend);
-
-GGML_API ggml_backend_buffer_type_t ggml_backend_kompute_buffer_type(int device);
-
-#ifdef __cplusplus
-}
-#endif

bindings/ruby/ext/ggml-metal.h

@@ -1,66 +0,0 @@
-// 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, OpenCL, etc.)
-//
-// How it works?
-//
-// As long as your program can create and evaluate a ggml_cgraph on the CPU, you can use this
-// interface to evaluate the same graph on the GPU. Instead of using ggml_graph_compute(), you
-// use ggml_metal_graph_compute() (or ggml_vulkan_graph_compute(), etc.)
-//
-// You only need to make sure that all memory buffers that you used during the graph creation
-// are mapped to the device memory with the ggml_metal_add_buffer() function. This mapping is
-// used during the graph evaluation to determine the arguments of the compute kernels.
-//
-// Synchronization between device and host memory (for example for input and output tensors)
-// is done with the ggml_metal_set_tensor() and ggml_metal_get_tensor() functions.
-//
-
-#pragma once
-
-#include "ggml.h"
-#include "ggml-backend.h"
-
-#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;
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-//
-// backend API
-// user-code should use only these functions
-//
-
-GGML_API void ggml_backend_metal_log_set_callback(ggml_log_callback log_callback, void * user_data);
-
-GGML_API ggml_backend_t ggml_backend_metal_init(void);
-
-GGML_API bool ggml_backend_is_metal(ggml_backend_t backend);
-
-GGML_API GGML_CALL ggml_backend_buffer_t ggml_backend_metal_buffer_from_ptr(void * data, size_t size, size_t max_size);
-
-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_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_API void ggml_backend_metal_capture_next_compute(ggml_backend_t backend);
-
-#ifdef __cplusplus
-}
-#endif
-

bindings/ruby/ext/ggml-opencl.h

@@ -1,36 +0,0 @@
-#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

bindings/ruby/ext/ggml-quants.h

@@ -1,133 +0,0 @@
-#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
-

bindings/ruby/ext/ggml-sycl.h

@@ -1,49 +0,0 @@
-//
-//  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

bindings/ruby/ext/ggml-vulkan.h

@@ -1,29 +0,0 @@
-#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

bindings/ruby/ext/metal-embed.mk

@@ -0,0 +1,17 @@
+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}

bindings/ruby/ext/metal.mk

@@ -0,0 +1,6 @@
+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 $@

bindings/ruby/ext/ruby_whisper.c

@@ -0,0 +1,164 @@
+#include <ruby.h>
+#include <ruby/memory_view.h>
+#include "ruby_whisper.h"
+
+VALUE mWhisper;
+VALUE cContext;
+VALUE cParams;
+VALUE eError;
+
+VALUE cSegment;
+VALUE cModel;
+
+ID id_to_s;
+ID id_call;
+ID id___method__;
+ID id_to_enum;
+ID id_length;
+ID id_next;
+ID id_new;
+ID id_to_path;
+ID id_URI;
+ID id_pre_converted_models;
+
+static bool is_log_callback_finalized = false;
+
+// High level API
+extern VALUE ruby_whisper_segment_allocate(VALUE klass);
+
+extern void init_ruby_whisper_context(VALUE *mWhisper);
+extern void init_ruby_whisper_params(VALUE *mWhisper);
+extern void init_ruby_whisper_error(VALUE *mWhisper);
+extern void init_ruby_whisper_segment(VALUE *mWhisper, VALUE *cSegment);
+extern void init_ruby_whisper_model(VALUE *mWhisper);
+extern void register_callbacks(ruby_whisper_params *rwp, VALUE *context);
+
+/*
+ * call-seq:
+ *   lang_max_id -> Integer
+ */
+static VALUE ruby_whisper_s_lang_max_id(VALUE self) {
+  return INT2NUM(whisper_lang_max_id());
+}
+
+/*
+ * call-seq:
+ *   lang_id(lang_name) -> Integer
+ */
+static VALUE ruby_whisper_s_lang_id(VALUE self, VALUE lang) {
+  const char * lang_str = StringValueCStr(lang);
+  const int id = whisper_lang_id(lang_str);
+  if (-1 == id) {
+    rb_raise(rb_eArgError, "language not found: %s", lang_str);
+  }
+  return INT2NUM(id);
+}
+
+/*
+ * call-seq:
+ *   lang_str(lang_id) -> String
+ */
+static VALUE ruby_whisper_s_lang_str(VALUE self, VALUE id) {
+  const int lang_id = NUM2INT(id);
+  const char * str = whisper_lang_str(lang_id);
+  if (NULL == str) {
+    rb_raise(rb_eIndexError, "id %d outside of language id", lang_id);
+  }
+  return rb_str_new2(str);
+}
+
+/*
+ * call-seq:
+ *   lang_str(lang_id) -> String
+ */
+static VALUE ruby_whisper_s_lang_str_full(VALUE self, VALUE id) {
+  const int lang_id = NUM2INT(id);
+  const char * str_full = whisper_lang_str_full(lang_id);
+  if (NULL == str_full) {
+    rb_raise(rb_eIndexError, "id %d outside of language id", lang_id);
+  }
+  return rb_str_new2(str_full);
+}
+
+static VALUE ruby_whisper_s_finalize_log_callback(VALUE self, VALUE id) {
+  is_log_callback_finalized = true;
+  return Qnil;
+}
+
+static void
+ruby_whisper_log_callback(enum ggml_log_level level, const char * buffer, void * user_data) {
+  if (is_log_callback_finalized) {
+    return;
+  }
+  VALUE log_callback = rb_iv_get(mWhisper, "log_callback");
+  VALUE udata = rb_iv_get(mWhisper, "user_data");
+  rb_funcall(log_callback, id_call, 3, INT2NUM(level), rb_str_new2(buffer), udata);
+}
+
+/*
+ * call-seq:
+ *   log_set ->(level, buffer, user_data) { ... }, user_data -> nil
+ */
+static VALUE ruby_whisper_s_log_set(VALUE self, VALUE log_callback, VALUE user_data) {
+  VALUE old_callback = rb_iv_get(self, "log_callback");
+  if (!NIL_P(old_callback)) {
+    rb_undefine_finalizer(old_callback);
+  }
+
+  rb_iv_set(self, "log_callback", log_callback);
+  rb_iv_set(self, "user_data", user_data);
+
+  VALUE finalize_log_callback = rb_funcall(mWhisper, rb_intern("method"), 1, rb_str_new2("finalize_log_callback"));
+  rb_define_finalizer(log_callback, finalize_log_callback);
+
+  whisper_log_set(ruby_whisper_log_callback, NULL);
+
+  return Qnil;
+}
+
+static void rb_whisper_model_mark(ruby_whisper_model *rwm) {
+  rb_gc_mark(rwm->context);
+}
+
+static VALUE ruby_whisper_model_allocate(VALUE klass) {
+  ruby_whisper_model *rwm;
+  rwm = ALLOC(ruby_whisper_model);
+  return Data_Wrap_Struct(klass, rb_whisper_model_mark, RUBY_DEFAULT_FREE, rwm);
+}
+
+void Init_whisper() {
+  id_to_s = rb_intern("to_s");
+  id_call = rb_intern("call");
+  id___method__ = rb_intern("__method__");
+  id_to_enum = rb_intern("to_enum");
+  id_length = rb_intern("length");
+  id_next = rb_intern("next");
+  id_new = rb_intern("new");
+  id_to_path = rb_intern("to_path");
+  id_URI = rb_intern("URI");
+  id_pre_converted_models = rb_intern("pre_converted_models");
+
+  mWhisper = rb_define_module("Whisper");
+
+  rb_define_const(mWhisper, "LOG_LEVEL_NONE", INT2NUM(GGML_LOG_LEVEL_NONE));
+  rb_define_const(mWhisper, "LOG_LEVEL_INFO", INT2NUM(GGML_LOG_LEVEL_INFO));
+  rb_define_const(mWhisper, "LOG_LEVEL_WARN", INT2NUM(GGML_LOG_LEVEL_WARN));
+  rb_define_const(mWhisper, "LOG_LEVEL_ERROR", INT2NUM(GGML_LOG_LEVEL_ERROR));
+  rb_define_const(mWhisper, "LOG_LEVEL_DEBUG", INT2NUM(GGML_LOG_LEVEL_DEBUG));
+  rb_define_const(mWhisper, "LOG_LEVEL_CONT", INT2NUM(GGML_LOG_LEVEL_CONT));
+
+  rb_define_singleton_method(mWhisper, "lang_max_id", ruby_whisper_s_lang_max_id, 0);
+  rb_define_singleton_method(mWhisper, "lang_id", ruby_whisper_s_lang_id, 1);
+  rb_define_singleton_method(mWhisper, "lang_str", ruby_whisper_s_lang_str, 1);
+  rb_define_singleton_method(mWhisper, "lang_str_full", ruby_whisper_s_lang_str_full, 1);
+  rb_define_singleton_method(mWhisper, "log_set", ruby_whisper_s_log_set, 2);
+  rb_define_private_method(rb_singleton_class(mWhisper), "finalize_log_callback", ruby_whisper_s_finalize_log_callback, 1);
+
+  init_ruby_whisper_context(&mWhisper);
+  init_ruby_whisper_params(&mWhisper);
+  init_ruby_whisper_error(&mWhisper);
+  init_ruby_whisper_segment(&mWhisper, &cContext);
+  init_ruby_whisper_model(&mWhisper);
+
+  rb_require("whisper/model/uri");
+}

bindings/ruby/ext/ruby_whisper.cpp

@@ -1,418 +0,0 @@
-#include <ruby.h>
-#include "ruby_whisper.h"
-#define DR_WAV_IMPLEMENTATION
-#include "dr_wav.h"
-#include <cmath>
-#include <fstream>
-#include <cstdio>
-#include <string>
-#include <thread>
-#include <vector>
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-#define BOOL_PARAMS_SETTER(self, prop, value) \
-  ruby_whisper_params *rwp; \
-  Data_Get_Struct(self, ruby_whisper_params, rwp); \
-  if (value == Qfalse || value == Qnil) { \
-    rwp->params.prop = false; \
-  } else { \
-    rwp->params.prop = true; \
-  } \
-  return value; \
-
-#define BOOL_PARAMS_GETTER(self,  prop) \
-  ruby_whisper_params *rwp; \
-  Data_Get_Struct(self, ruby_whisper_params, rwp); \
-  if (rwp->params.prop) { \
-    return Qtrue; \
-  } else { \
-    return Qfalse; \
-  }
-
-VALUE mWhisper;
-VALUE cContext;
-VALUE cParams;
-
-static void ruby_whisper_free(ruby_whisper *rw) {
-  if (rw->context) {
-    whisper_free(rw->context);
-    rw->context = NULL;
-  }
-}
-static void ruby_whisper_params_free(ruby_whisper_params *rwp) {
-}
-
-void rb_whisper_mark(ruby_whisper *rw) {
-  // call rb_gc_mark on any ruby references in rw
-}
-
-void rb_whisper_free(ruby_whisper *rw) {
-  ruby_whisper_free(rw);
-  free(rw);
-}
-
-void rb_whisper_params_mark(ruby_whisper_params *rwp) {
-}
-
-void rb_whisper_params_free(ruby_whisper_params *rwp) {
-  ruby_whisper_params_free(rwp);
-  free(rwp);
-}
-
-static VALUE ruby_whisper_allocate(VALUE klass) {
-  ruby_whisper *rw;
-  rw = ALLOC(ruby_whisper);
-  rw->context = NULL;
-  return Data_Wrap_Struct(klass, rb_whisper_mark, rb_whisper_free, rw);
-}
-
-static VALUE ruby_whisper_params_allocate(VALUE klass) {
-  ruby_whisper_params *rwp;
-  rwp = ALLOC(ruby_whisper_params);
-  rwp->params = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
-  return Data_Wrap_Struct(klass, rb_whisper_params_mark, rb_whisper_params_free, rwp);
-}
-
-static VALUE ruby_whisper_initialize(int argc, VALUE *argv, VALUE self) {
-  ruby_whisper *rw;
-  VALUE whisper_model_file_path;
-
-  // TODO: we can support init from buffer here too maybe another ruby object to expose
-  rb_scan_args(argc, argv, "01", &whisper_model_file_path);
-  Data_Get_Struct(self, ruby_whisper, rw);
-
-  if (!rb_respond_to(whisper_model_file_path, rb_intern("to_s"))) {
-    rb_raise(rb_eRuntimeError, "Expected file path to model to initialize Whisper::Context");
-  }
-  rw->context = whisper_init_from_file_with_params(StringValueCStr(whisper_model_file_path), whisper_context_default_params());
-  if (rw->context == nullptr) {
-    rb_raise(rb_eRuntimeError, "error: failed to initialize whisper context");
-  }
-  return self;
-}
-
-/*
- * transcribe a single file
- * can emit to a block results
- *
- **/
-static VALUE ruby_whisper_transcribe(int argc, VALUE *argv, VALUE self) {
-  ruby_whisper *rw;
-  ruby_whisper_params *rwp;
-  VALUE wave_file_path, blk, params;
-
-  rb_scan_args(argc, argv, "02&", &wave_file_path, &params, &blk);
-  Data_Get_Struct(self, ruby_whisper, rw);
-  Data_Get_Struct(params, ruby_whisper_params, rwp);
-
-  if (!rb_respond_to(wave_file_path, rb_intern("to_s"))) {
-    rb_raise(rb_eRuntimeError, "Expected file path to wave file");
-  }
-
-  std::string fname_inp = StringValueCStr(wave_file_path);
-
-  std::vector<float> pcmf32; // mono-channel F32 PCM
-  std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
-
-  // WAV input - this is directly from main.cpp example
-  {
-    drwav wav;
-    std::vector<uint8_t> wav_data; // used for pipe input from stdin
-
-    if (fname_inp == "-") {
-      {
-        uint8_t buf[1024];
-        while (true) {
-          const size_t n = fread(buf, 1, sizeof(buf), stdin);
-          if (n == 0) {
-            break;
-          }
-          wav_data.insert(wav_data.end(), buf, buf + n);
-        }
-      }
-
-      if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
-        fprintf(stderr, "error: failed to open WAV file from stdin\n");
-        return self;
-      }
-
-      fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
-    } else if (drwav_init_file(&wav, fname_inp.c_str(), nullptr) == false) {
-      fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname_inp.c_str());
-      return self;
-    }
-
-    if (wav.channels != 1 && wav.channels != 2) {
-      fprintf(stderr, "WAV file '%s' must be mono or stereo\n", fname_inp.c_str());
-      return self;
-    }
-
-    if (rwp->diarize && wav.channels != 2 && rwp->params.print_timestamps == false) {
-      fprintf(stderr, "WAV file '%s' must be stereo for diarization and timestamps have to be enabled\n", fname_inp.c_str());
-      return self;
-    }
-
-    if (wav.sampleRate != WHISPER_SAMPLE_RATE) {
-      fprintf(stderr, "WAV file '%s' must be %i kHz\n", fname_inp.c_str(), WHISPER_SAMPLE_RATE/1000);
-      return self;
-    }
-
-    if (wav.bitsPerSample != 16) {
-      fprintf(stderr, "WAV file '%s' must be 16-bit\n", fname_inp.c_str());
-      return self;
-    }
-
-    const uint64_t n = wav_data.empty() ? wav.totalPCMFrameCount : wav_data.size()/(wav.channels*wav.bitsPerSample/8);
-
-    std::vector<int16_t> pcm16;
-    pcm16.resize(n*wav.channels);
-    drwav_read_pcm_frames_s16(&wav, n, pcm16.data());
-    drwav_uninit(&wav);
-
-    // convert to mono, float
-    pcmf32.resize(n);
-    if (wav.channels == 1) {
-      for (uint64_t i = 0; i < n; i++) {
-        pcmf32[i] = float(pcm16[i])/32768.0f;
-      }
-    } else {
-      for (uint64_t i = 0; i < n; i++) {
-        pcmf32[i] = float(pcm16[2*i] + pcm16[2*i + 1])/65536.0f;
-      }
-    }
-
-    if (rwp->diarize) {
-      // convert to stereo, float
-      pcmf32s.resize(2);
-
-      pcmf32s[0].resize(n);
-      pcmf32s[1].resize(n);
-      for (uint64_t i = 0; i < n; i++) {
-        pcmf32s[0][i] = float(pcm16[2*i])/32768.0f;
-        pcmf32s[1][i] = float(pcm16[2*i + 1])/32768.0f;
-      }
-    }
-  }
-  {
-    static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
-
-    rwp->params.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, void * user_data) {
-      bool is_aborted = *(bool*)user_data;
-      return !is_aborted;
-    };
-    rwp->params.encoder_begin_callback_user_data = &is_aborted;
-  }
-
-  if (whisper_full_parallel(rw->context, rwp->params, pcmf32.data(), pcmf32.size(), 1) != 0) {
-    fprintf(stderr, "failed to process audio\n");
-    return self;
-  }
-  const int n_segments = whisper_full_n_segments(rw->context);
-  VALUE output = rb_str_new2("");
-  for (int i = 0; i < n_segments; ++i) {
-    const char * text = whisper_full_get_segment_text(rw->context, i);
-    output = rb_str_concat(output, rb_str_new2(text));
-  }
-  VALUE idCall = rb_intern("call");
-  if (blk != Qnil) {
-    rb_funcall(blk, idCall, 1, output);
-  }
-  return self;
-}
-
-/*
- * params.language = "auto" | "en", etc...
- */
-static VALUE ruby_whisper_params_set_language(VALUE self, VALUE value) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  if (value == Qfalse || value == Qnil) {
-    rwp->params.language = "auto";
-  } else {
-    rwp->params.language = StringValueCStr(value);
-  }
-  return value;
-}
-static VALUE ruby_whisper_params_get_language(VALUE self) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  if (rwp->params.language) {
-    return rb_str_new2(rwp->params.language);
-  } else {
-    return rb_str_new2("auto");
-  }
-}
-static VALUE ruby_whisper_params_set_translate(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, translate, value)
-}
-static VALUE ruby_whisper_params_get_translate(VALUE self) {
-  BOOL_PARAMS_GETTER(self, translate)
-}
-static VALUE ruby_whisper_params_set_no_context(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, no_context, value)
-}
-static VALUE ruby_whisper_params_get_no_context(VALUE self) {
-  BOOL_PARAMS_GETTER(self, no_context)
-}
-static VALUE ruby_whisper_params_set_single_segment(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, single_segment, value)
-}
-static VALUE ruby_whisper_params_get_single_segment(VALUE self) {
-  BOOL_PARAMS_GETTER(self, single_segment)
-}
-static VALUE ruby_whisper_params_set_print_special(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, print_special, value)
-}
-static VALUE ruby_whisper_params_get_print_special(VALUE self) {
-  BOOL_PARAMS_GETTER(self, print_special)
-}
-static VALUE ruby_whisper_params_set_print_progress(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, print_progress, value)
-}
-static VALUE ruby_whisper_params_get_print_progress(VALUE self) {
-  BOOL_PARAMS_GETTER(self, print_progress)
-}
-static VALUE ruby_whisper_params_set_print_realtime(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, print_realtime, value)
-}
-static VALUE ruby_whisper_params_get_print_realtime(VALUE self) {
-  BOOL_PARAMS_GETTER(self, print_realtime)
-}
-static VALUE ruby_whisper_params_set_print_timestamps(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, print_timestamps, value)
-}
-static VALUE ruby_whisper_params_get_print_timestamps(VALUE self) {
-  BOOL_PARAMS_GETTER(self, print_timestamps)
-}
-static VALUE ruby_whisper_params_set_suppress_blank(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, suppress_blank, value)
-}
-static VALUE ruby_whisper_params_get_suppress_blank(VALUE self) {
-  BOOL_PARAMS_GETTER(self, suppress_blank)
-}
-static VALUE ruby_whisper_params_set_suppress_non_speech_tokens(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, suppress_non_speech_tokens, value)
-}
-static VALUE ruby_whisper_params_get_suppress_non_speech_tokens(VALUE self) {
-  BOOL_PARAMS_GETTER(self, suppress_non_speech_tokens)
-}
-static VALUE ruby_whisper_params_get_token_timestamps(VALUE self) {
-  BOOL_PARAMS_GETTER(self, token_timestamps)
-}
-static VALUE ruby_whisper_params_set_token_timestamps(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, token_timestamps, value)
-}
-static VALUE ruby_whisper_params_get_split_on_word(VALUE self) {
-  BOOL_PARAMS_GETTER(self, split_on_word)
-}
-static VALUE ruby_whisper_params_set_split_on_word(VALUE self, VALUE value) {
-  BOOL_PARAMS_SETTER(self, split_on_word, value)
-}
-static VALUE ruby_whisper_params_get_diarize(VALUE self) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  if (rwp->diarize) {
-    return Qtrue;
-  } else {
-    return Qfalse;
-  }
-}
-static VALUE ruby_whisper_params_set_diarize(VALUE self, VALUE value) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  if (value == Qfalse || value == Qnil) {
-    rwp->diarize = false;
-  } else {
-    rwp->diarize = true;
-  } \
-  return value;
-}
-
-static VALUE ruby_whisper_params_get_offset(VALUE self) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  return INT2NUM(rwp->params.offset_ms);
-}
-static VALUE ruby_whisper_params_set_offset(VALUE self, VALUE value) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  rwp->params.offset_ms = NUM2INT(value);
-  return value;
-}
-static VALUE ruby_whisper_params_get_duration(VALUE self) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  return INT2NUM(rwp->params.duration_ms);
-}
-static VALUE ruby_whisper_params_set_duration(VALUE self, VALUE value) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  rwp->params.duration_ms = NUM2INT(value);
-  return value;
-}
-
-static VALUE ruby_whisper_params_get_max_text_tokens(VALUE self) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  return INT2NUM(rwp->params.n_max_text_ctx);
-}
-static VALUE ruby_whisper_params_set_max_text_tokens(VALUE self, VALUE value) {
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper_params, rwp);
-  rwp->params.n_max_text_ctx = NUM2INT(value);
-  return value;
-}
-
-void Init_whisper() {
-  mWhisper = rb_define_module("Whisper");
-  cContext = rb_define_class_under(mWhisper, "Context", rb_cObject);
-  cParams  = rb_define_class_under(mWhisper, "Params", rb_cObject);
-
-  rb_define_alloc_func(cContext, ruby_whisper_allocate);
-  rb_define_method(cContext, "initialize", ruby_whisper_initialize, -1);
-
-  rb_define_method(cContext, "transcribe", ruby_whisper_transcribe, -1);
-
-  rb_define_alloc_func(cParams, ruby_whisper_params_allocate);
-
-  rb_define_method(cParams, "language=", ruby_whisper_params_set_language, 1);
-  rb_define_method(cParams, "language", ruby_whisper_params_get_language, 0);
-  rb_define_method(cParams, "translate=", ruby_whisper_params_set_translate, 1);
-  rb_define_method(cParams, "translate", ruby_whisper_params_get_translate, 0);
-  rb_define_method(cParams, "no_context=", ruby_whisper_params_set_no_context, 1);
-  rb_define_method(cParams, "no_context", ruby_whisper_params_get_no_context, 0);
-  rb_define_method(cParams, "single_segment=", ruby_whisper_params_set_single_segment, 1);
-  rb_define_method(cParams, "single_segment", ruby_whisper_params_get_single_segment, 0);
-  rb_define_method(cParams, "print_special", ruby_whisper_params_get_print_special, 0);
-  rb_define_method(cParams, "print_special=", ruby_whisper_params_set_print_special, 1);
-  rb_define_method(cParams, "print_progress", ruby_whisper_params_get_print_progress, 0);
-  rb_define_method(cParams, "print_progress=", ruby_whisper_params_set_print_progress, 1);
-  rb_define_method(cParams, "print_realtime", ruby_whisper_params_get_print_realtime, 0);
-  rb_define_method(cParams, "print_realtime=", ruby_whisper_params_set_print_realtime, 1);
-  rb_define_method(cParams, "print_timestamps", ruby_whisper_params_get_print_timestamps, 0);
-  rb_define_method(cParams, "print_timestamps=", ruby_whisper_params_set_print_timestamps, 1);
-  rb_define_method(cParams, "suppress_blank", ruby_whisper_params_get_suppress_blank, 0);
-  rb_define_method(cParams, "suppress_blank=", ruby_whisper_params_set_suppress_blank, 1);
-  rb_define_method(cParams, "suppress_non_speech_tokens", ruby_whisper_params_get_suppress_non_speech_tokens, 0);
-  rb_define_method(cParams, "suppress_non_speech_tokens=", ruby_whisper_params_set_suppress_non_speech_tokens, 1);
-  rb_define_method(cParams, "token_timestamps", ruby_whisper_params_get_token_timestamps, 0);
-  rb_define_method(cParams, "token_timestamps=", ruby_whisper_params_set_token_timestamps, 1);
-  rb_define_method(cParams, "split_on_word", ruby_whisper_params_get_split_on_word, 0);
-  rb_define_method(cParams, "split_on_word=", ruby_whisper_params_set_split_on_word, 1);
-  rb_define_method(cParams, "diarize", ruby_whisper_params_get_diarize, 0);
-  rb_define_method(cParams, "diarize=", ruby_whisper_params_set_diarize, 1);
-
-  rb_define_method(cParams, "offset", ruby_whisper_params_get_offset, 0);
-  rb_define_method(cParams, "offset=", ruby_whisper_params_set_offset, 1);
-  rb_define_method(cParams, "duration", ruby_whisper_params_get_duration, 0);
-  rb_define_method(cParams, "duration=", ruby_whisper_params_set_duration, 1);
-
-  rb_define_method(cParams, "max_text_tokens", ruby_whisper_params_get_max_text_tokens, 0);
-  rb_define_method(cParams, "max_text_tokens=", ruby_whisper_params_set_max_text_tokens, 1);
-}
-#ifdef __cplusplus
-}
-#endif

bindings/ruby/ext/ruby_whisper.h

@@ -1,8 +1,15 @@
-#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;
@@ -10,6 +17,18 @@ 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;
 
+typedef struct {
+  VALUE context;
+  int index;
+} ruby_whisper_segment;
+
+typedef struct {
+  VALUE context;
+} ruby_whisper_model;
+
 #endif

bindings/ruby/ext/ruby_whisper_context.c

@@ -0,0 +1,613 @@
+#include <ruby.h>
+#include <ruby/memory_view.h>
+#include "ruby_whisper.h"
+
+extern ID id_to_s;
+extern ID id___method__;
+extern ID id_to_enum;
+extern ID id_length;
+extern ID id_next;
+extern ID id_new;
+extern ID id_to_path;
+extern ID id_URI;
+extern ID id_pre_converted_models;
+
+extern VALUE cContext;
+extern VALUE eError;
+extern VALUE cModel;
+
+extern VALUE ruby_whisper_transcribe(int argc, VALUE *argv, VALUE self);
+extern VALUE rb_whisper_model_initialize(VALUE context);
+extern VALUE rb_whisper_segment_initialize(VALUE context, int index);
+extern void register_callbacks(ruby_whisper_params *rwp, VALUE *context);
+
+static void
+ruby_whisper_free(ruby_whisper *rw)
+{
+  if (rw->context) {
+    whisper_free(rw->context);
+    rw->context = NULL;
+  }
+}
+
+void
+rb_whisper_mark(ruby_whisper *rw)
+{
+  // call rb_gc_mark on any ruby references in rw
+}
+
+void
+rb_whisper_free(ruby_whisper *rw)
+{
+  ruby_whisper_free(rw);
+  free(rw);
+}
+
+static VALUE
+ruby_whisper_allocate(VALUE klass)
+{
+  ruby_whisper *rw;
+  rw = ALLOC(ruby_whisper);
+  rw->context = NULL;
+  return Data_Wrap_Struct(klass, rb_whisper_mark, rb_whisper_free, rw);
+}
+
+/*
+ * call-seq:
+ *   new("base.en") -> Whisper::Context
+ *   new("path/to/model.bin") -> Whisper::Context
+ *   new(Whisper::Model::URI.new("https://example.net/uri/of/model.bin")) -> Whisper::Context
+ */
+static VALUE
+ruby_whisper_initialize(int argc, VALUE *argv, VALUE self)
+{
+  ruby_whisper *rw;
+  VALUE whisper_model_file_path;
+
+  // TODO: we can support init from buffer here too maybe another ruby object to expose
+  rb_scan_args(argc, argv, "01", &whisper_model_file_path);
+  Data_Get_Struct(self, ruby_whisper, rw);
+
+  VALUE pre_converted_models = rb_funcall(cModel, id_pre_converted_models, 0);
+  VALUE pre_converted_model = rb_hash_aref(pre_converted_models, whisper_model_file_path);
+  if (!NIL_P(pre_converted_model)) {
+    whisper_model_file_path = pre_converted_model;
+  }
+  if (TYPE(whisper_model_file_path) == T_STRING) {
+    const char * whisper_model_file_path_str = StringValueCStr(whisper_model_file_path);
+    if (strncmp("http://", whisper_model_file_path_str, 7) == 0 || strncmp("https://", whisper_model_file_path_str, 8) == 0) {
+      VALUE uri_class = rb_const_get(cModel, id_URI);
+      whisper_model_file_path = rb_class_new_instance(1, &whisper_model_file_path, uri_class);
+    }
+  }
+  if (rb_obj_is_kind_of(whisper_model_file_path, rb_path2class("URI::HTTP"))) {
+    VALUE uri_class = rb_const_get(cModel, id_URI);
+    whisper_model_file_path = rb_class_new_instance(1, &whisper_model_file_path, uri_class);
+  }
+  if (rb_respond_to(whisper_model_file_path, id_to_path)) {
+    whisper_model_file_path = rb_funcall(whisper_model_file_path, id_to_path, 0);
+  }
+  if (!rb_respond_to(whisper_model_file_path, id_to_s)) {
+    rb_raise(rb_eRuntimeError, "Expected file path to model to initialize Whisper::Context");
+  }
+  rw->context = whisper_init_from_file_with_params(StringValueCStr(whisper_model_file_path), whisper_context_default_params());
+  if (rw->context == NULL) {
+    rb_raise(rb_eRuntimeError, "error: failed to initialize whisper context");
+  }
+  return self;
+}
+
+/*
+ * call-seq:
+ *   model_n_vocab -> Integer
+ */
+VALUE ruby_whisper_model_n_vocab(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_vocab(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_n_audio_ctx -> Integer
+ */
+VALUE ruby_whisper_model_n_audio_ctx(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_audio_ctx(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_n_audio_state -> Integer
+ */
+VALUE ruby_whisper_model_n_audio_state(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_audio_state(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_n_audio_head -> Integer
+ */
+VALUE ruby_whisper_model_n_audio_head(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_audio_head(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_n_audio_layer -> Integer
+ */
+VALUE ruby_whisper_model_n_audio_layer(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_audio_layer(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_n_text_ctx -> Integer
+ */
+VALUE ruby_whisper_model_n_text_ctx(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_text_ctx(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_n_text_state -> Integer
+ */
+VALUE ruby_whisper_model_n_text_state(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_text_state(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_n_text_head -> Integer
+ */
+VALUE ruby_whisper_model_n_text_head(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_text_head(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_n_text_layer -> Integer
+ */
+VALUE ruby_whisper_model_n_text_layer(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_text_layer(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_n_mels -> Integer
+ */
+VALUE ruby_whisper_model_n_mels(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_mels(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_ftype -> Integer
+ */
+VALUE ruby_whisper_model_ftype(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_model_ftype(rw->context));
+}
+
+/*
+ * call-seq:
+ *   model_type -> String
+ */
+VALUE ruby_whisper_model_type(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return rb_str_new2(whisper_model_type_readable(rw->context));
+}
+
+/*
+ * Run the entire model: PCM -> log mel spectrogram -> encoder -> decoder -> text
+ * Not thread safe for same context
+ * Uses the specified decoding strategy to obtain the text.
+ *
+ * call-seq:
+ *   full(params, samples, n_samples) -> nil
+ *   full(params, samples) -> nil
+ *
+ * The second argument +samples+ must be an array of samples, respond to :length, or be a MemoryView of an array of float. It must be 32 bit float PCM audio data.
+ */
+VALUE ruby_whisper_full(int argc, VALUE *argv, VALUE self)
+{
+  if (argc < 2 || argc > 3) {
+    rb_raise(rb_eArgError, "wrong number of arguments (given %d, expected 2..3)", argc);
+  }
+
+  ruby_whisper *rw;
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  VALUE params = argv[0];
+  Data_Get_Struct(params, ruby_whisper_params, rwp);
+  VALUE samples = argv[1];
+  int n_samples;
+  rb_memory_view_t view;
+  const bool memory_view_available_p = rb_memory_view_available_p(samples);
+  if (argc == 3) {
+    n_samples = NUM2INT(argv[2]);
+    if (TYPE(samples) == T_ARRAY) {
+      if (RARRAY_LEN(samples) < n_samples) {
+        rb_raise(rb_eArgError, "samples length %ld is less than n_samples %d", RARRAY_LEN(samples), n_samples);
+      }
+    }
+    // Should check when samples.respond_to?(:length)?
+  } else {
+    if (TYPE(samples) == T_ARRAY) {
+      n_samples = RARRAY_LEN(samples);
+    } else if (memory_view_available_p) {
+      if (!rb_memory_view_get(samples, &view, RUBY_MEMORY_VIEW_SIMPLE)) {
+        view.obj = Qnil;
+        rb_raise(rb_eArgError, "unable to get a memory view");
+      }
+      n_samples = view.byte_size / view.item_size;
+    } else if (rb_respond_to(samples, id_length)) {
+      n_samples = NUM2INT(rb_funcall(samples, id_length, 0));
+    } else {
+      rb_raise(rb_eArgError, "samples must respond to :length or be a MemoryView of an array of flaot when n_samples is not given");
+    }
+  }
+  float * c_samples = (float *)malloc(n_samples * sizeof(float));
+  if (memory_view_available_p)  {
+    c_samples = (float *)view.data;
+  } else {
+    if (TYPE(samples) == T_ARRAY) {
+      for (int i = 0; i < n_samples; i++) {
+        c_samples[i] = RFLOAT_VALUE(rb_ary_entry(samples, i));
+      }
+    } else {
+      // TODO: use rb_block_call
+      VALUE iter = rb_funcall(samples, id_to_enum, 1, rb_str_new2("each"));
+      for (int i = 0; i < n_samples; i++) {
+        // TODO: check if iter is exhausted and raise ArgumentError appropriately
+        VALUE sample = rb_funcall(iter, id_next, 0);
+        c_samples[i] = RFLOAT_VALUE(sample);
+      }
+    }
+  }
+  register_callbacks(rwp, &self);
+  const int result = whisper_full(rw->context, rwp->params, c_samples, n_samples);
+  if (0 == result) {
+    return self;
+  } else {
+    rb_exc_raise(rb_funcall(eError, id_new, 1, result));
+  }
+}
+
+/*
+ * Split the input audio in chunks and process each chunk separately using whisper_full_with_state()
+ * Result is stored in the default state of the context
+ * Not thread safe if executed in parallel on the same context.
+ * It seems this approach can offer some speedup in some cases.
+ * However, the transcription accuracy can be worse at the beginning and end of each chunk.
+ *
+ * call-seq:
+ *   full_parallel(params, samples) -> nil
+ *   full_parallel(params, samples, n_samples) -> nil
+ *   full_parallel(params, samples, n_samples, n_processors) -> nil
+ *   full_parallel(params, samples, nil, n_processors) -> nil
+ */
+static VALUE
+ruby_whisper_full_parallel(int argc, VALUE *argv,VALUE self)
+{
+  if (argc < 2 || argc > 4) {
+    rb_raise(rb_eArgError, "wrong number of arguments (given %d, expected 2..3)", argc);
+  }
+
+  ruby_whisper *rw;
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  VALUE params = argv[0];
+  Data_Get_Struct(params, ruby_whisper_params, rwp);
+  VALUE samples = argv[1];
+  int n_samples;
+  int n_processors;
+  rb_memory_view_t view;
+  const bool memory_view_available_p = rb_memory_view_available_p(samples);
+  switch (argc) {
+  case 2:
+    n_processors = 1;
+    break;
+  case 3:
+    n_processors = 1;
+    break;
+  case 4:
+    n_processors = NUM2INT(argv[3]);
+    break;
+  }
+  if (argc >= 3 && !NIL_P(argv[2])) {
+    n_samples = NUM2INT(argv[2]);
+    if (TYPE(samples) == T_ARRAY) {
+      if (RARRAY_LEN(samples) < n_samples) {
+        rb_raise(rb_eArgError, "samples length %ld is less than n_samples %d", RARRAY_LEN(samples), n_samples);
+      }
+    }
+    // Should check when samples.respond_to?(:length)?
+  } else if (memory_view_available_p) {
+    if (!rb_memory_view_get(samples, &view, RUBY_MEMORY_VIEW_SIMPLE)) {
+      view.obj = Qnil;
+      rb_raise(rb_eArgError, "unable to get a memory view");
+    }
+    n_samples = view.byte_size / view.item_size;
+  } else {
+    if (TYPE(samples) == T_ARRAY) {
+      n_samples = RARRAY_LEN(samples);
+    } else if (rb_respond_to(samples, id_length)) {
+      n_samples = NUM2INT(rb_funcall(samples, id_length, 0));
+    } else {
+      rb_raise(rb_eArgError, "samples must respond to :length or be a MemoryView of an array of flaot when n_samples is not given");
+    }
+  }
+  float * c_samples = (float *)malloc(n_samples * sizeof(float));
+  if (memory_view_available_p) {
+    c_samples = (float *)view.data;
+  } else {
+    if (TYPE(samples) == T_ARRAY) {
+      for (int i = 0; i < n_samples; i++) {
+        c_samples[i] = RFLOAT_VALUE(rb_ary_entry(samples, i));
+      }
+    } else {
+      // FIXME: use rb_block_call
+      VALUE iter = rb_funcall(samples, id_to_enum, 1, rb_str_new2("each"));
+      for (int i = 0; i < n_samples; i++) {
+        // TODO: check if iter is exhausted and raise ArgumentError
+        VALUE sample = rb_funcall(iter, id_next, 0);
+        c_samples[i] = RFLOAT_VALUE(sample);
+      }
+    }
+  }
+  register_callbacks(rwp, &self);
+  const int result = whisper_full_parallel(rw->context, rwp->params, c_samples, n_samples, n_processors);
+  if (0 == result) {
+    return self;
+  } else {
+    rb_exc_raise(rb_funcall(eError, id_new, 1, result));
+  }
+}
+
+/*
+ * Number of segments.
+ *
+ * call-seq:
+ *   full_n_segments -> Integer
+ */
+static VALUE
+ruby_whisper_full_n_segments(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_full_n_segments(rw->context));
+}
+
+/*
+ * Language ID, which can be converted to string by Whisper.lang_str and Whisper.lang_str_full.
+ *
+ * call-seq:
+ *   full_lang_id -> Integer
+ */
+static VALUE
+ruby_whisper_full_lang_id(VALUE self)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  return INT2NUM(whisper_full_lang_id(rw->context));
+}
+
+static int ruby_whisper_full_check_segment_index(const ruby_whisper * rw, const VALUE i_segment)
+{
+  const int c_i_segment = NUM2INT(i_segment);
+  if (c_i_segment < 0 || c_i_segment >= whisper_full_n_segments(rw->context)) {
+    rb_raise(rb_eIndexError, "segment index %d out of range", c_i_segment);
+  }
+  return c_i_segment;
+}
+
+/*
+ * Start time of a segment indexed by +segment_index+ in centiseconds (10 times milliseconds).
+ *
+ *   full_get_segment_t0(3) # => 1668 (16680 ms)
+ *
+ * call-seq:
+ *   full_get_segment_t0(segment_index) -> Integer
+ */
+static VALUE
+ruby_whisper_full_get_segment_t0(VALUE self, VALUE i_segment)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
+  const int64_t t0 = whisper_full_get_segment_t0(rw->context, c_i_segment);
+  return INT2NUM(t0);
+}
+
+/*
+ * End time of a segment indexed by +segment_index+ in centiseconds (10 times milliseconds).
+ *
+ *   full_get_segment_t1(3) # => 1668 (16680 ms)
+ *
+ * call-seq:
+ *   full_get_segment_t1(segment_index) -> Integer
+ */
+static VALUE
+ruby_whisper_full_get_segment_t1(VALUE self, VALUE i_segment)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
+  const int64_t t1 = whisper_full_get_segment_t1(rw->context, c_i_segment);
+  return INT2NUM(t1);
+}
+
+/*
+ * Whether the next segment indexed by +segment_index+ is predicated as a speaker turn.
+ *
+ *   full_get_segment_speacker_turn_next(3) # => true
+ *
+ * call-seq:
+ *   full_get_segment_speacker_turn_next(segment_index) -> bool
+ */
+static VALUE
+ruby_whisper_full_get_segment_speaker_turn_next(VALUE self, VALUE i_segment)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
+  const bool speaker_turn_next = whisper_full_get_segment_speaker_turn_next(rw->context, c_i_segment);
+  return speaker_turn_next ? Qtrue : Qfalse;
+}
+
+/*
+ * Text of a segment indexed by +segment_index+.
+ *
+ *   full_get_segment_text(3) # => "ask not what your country can do for you, ..."
+ *
+ * call-seq:
+ *   full_get_segment_text(segment_index) -> String
+ */
+static VALUE
+ruby_whisper_full_get_segment_text(VALUE self, VALUE i_segment)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
+  const char * text = whisper_full_get_segment_text(rw->context, c_i_segment);
+  return rb_str_new2(text);
+}
+
+/*
+ * call-seq:
+ *   full_get_segment_no_speech_prob(segment_index) -> Float
+ */
+static VALUE
+ruby_whisper_full_get_segment_no_speech_prob(VALUE self, VALUE i_segment)
+{
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
+  const float no_speech_prob = whisper_full_get_segment_no_speech_prob(rw->context, c_i_segment);
+  return DBL2NUM(no_speech_prob);
+}
+
+// High level API
+
+static VALUE
+ruby_whisper_full_get_segment(VALUE self, VALUE i_segment)
+{
+  return rb_whisper_segment_initialize(self, NUM2INT(i_segment));
+}
+
+/*
+ * Yields each Whisper::Segment:
+ *
+ *   whisper.transcribe("path/to/audio.wav", params)
+ *   whisper.each_segment do |segment|
+ *     puts segment.text
+ *   end
+ *
+ * Returns an Enumerator if no block given:
+ *
+ *   whisper.transcribe("path/to/audio.wav", params)
+ *   enum = whisper.each_segment
+ *   enum.to_a # => [#<Whisper::Segment>, ...]
+ *
+ * call-seq:
+ *   each_segment {|segment| ... }
+ *   each_segment -> Enumerator
+ */
+static VALUE
+ruby_whisper_each_segment(VALUE self)
+{
+  if (!rb_block_given_p()) {
+    const VALUE method_name = rb_funcall(self, id___method__, 0);
+    return rb_funcall(self, id_to_enum, 1, method_name);
+  }
+
+  ruby_whisper *rw;
+  Data_Get_Struct(self, ruby_whisper, rw);
+
+  const int n_segments = whisper_full_n_segments(rw->context);
+  for (int i = 0; i < n_segments; ++i) {
+    rb_yield(rb_whisper_segment_initialize(self, i));
+  }
+
+  return self;
+}
+
+/*
+ * call-seq:
+ *   model -> Whisper::Model
+ */
+static VALUE
+ruby_whisper_get_model(VALUE self)
+{
+  return rb_whisper_model_initialize(self);
+}
+
+void
+init_ruby_whisper_context(VALUE *mWhisper)
+{
+  cContext = rb_define_class_under(*mWhisper, "Context", rb_cObject);
+
+  rb_define_alloc_func(cContext, ruby_whisper_allocate);
+  rb_define_method(cContext, "initialize", ruby_whisper_initialize, -1);
+
+  rb_define_method(cContext, "transcribe", ruby_whisper_transcribe, -1);
+  rb_define_method(cContext, "model_n_vocab", ruby_whisper_model_n_vocab, 0);
+  rb_define_method(cContext, "model_n_audio_ctx", ruby_whisper_model_n_audio_ctx, 0);
+  rb_define_method(cContext, "model_n_audio_state", ruby_whisper_model_n_audio_state, 0);
+  rb_define_method(cContext, "model_n_audio_head", ruby_whisper_model_n_audio_head, 0);
+  rb_define_method(cContext, "model_n_audio_layer", ruby_whisper_model_n_audio_layer, 0);
+  rb_define_method(cContext, "model_n_text_ctx", ruby_whisper_model_n_text_ctx, 0);
+  rb_define_method(cContext, "model_n_text_state", ruby_whisper_model_n_text_state, 0);
+  rb_define_method(cContext, "model_n_text_head", ruby_whisper_model_n_text_head, 0);
+  rb_define_method(cContext, "model_n_text_layer", ruby_whisper_model_n_text_layer, 0);
+  rb_define_method(cContext, "model_n_mels", ruby_whisper_model_n_mels, 0);
+  rb_define_method(cContext, "model_ftype", ruby_whisper_model_ftype, 0);
+  rb_define_method(cContext, "model_type", ruby_whisper_model_type, 0);
+  rb_define_method(cContext, "full_n_segments", ruby_whisper_full_n_segments, 0);
+  rb_define_method(cContext, "full_lang_id", ruby_whisper_full_lang_id, 0);
+  rb_define_method(cContext, "full_get_segment_t0", ruby_whisper_full_get_segment_t0, 1);
+  rb_define_method(cContext, "full_get_segment_t1", ruby_whisper_full_get_segment_t1, 1);
+  rb_define_method(cContext, "full_get_segment_speaker_turn_next", ruby_whisper_full_get_segment_speaker_turn_next, 1);
+  rb_define_method(cContext, "full_get_segment_text", ruby_whisper_full_get_segment_text, 1);
+  rb_define_method(cContext, "full_get_segment_no_speech_prob", ruby_whisper_full_get_segment_no_speech_prob, 1);
+  rb_define_method(cContext, "full", ruby_whisper_full, -1);
+  rb_define_method(cContext, "full_parallel", ruby_whisper_full_parallel, -1);
+
+  // High leve
+  rb_define_method(cContext, "full_get_segment", ruby_whisper_full_get_segment, 1);
+  rb_define_method(cContext, "each_segment", ruby_whisper_each_segment, 0);
+
+  rb_define_method(cContext, "model", ruby_whisper_get_model, 0);
+}

bindings/ruby/ext/ruby_whisper_error.c

@@ -0,0 +1,52 @@
+#include <ruby.h>
+
+extern VALUE eError;
+
+VALUE ruby_whisper_error_initialize(VALUE self, VALUE code)
+{
+  const int c_code = NUM2INT(code);
+  const char *raw_message;
+  switch (c_code) {
+  case -2:
+    raw_message = "failed to compute log mel spectrogram";
+    break;
+  case -3:
+    raw_message = "failed to auto-detect language";
+    break;
+  case -4:
+    raw_message = "too many decoders requested";
+    break;
+  case -5:
+    raw_message = "audio_ctx is larger than the maximum allowed";
+    break;
+  case -6:
+    raw_message = "failed to encode";
+    break;
+  case -7:
+    raw_message = "whisper_kv_cache_init() failed for self-attention cache";
+    break;
+  case -8:
+    raw_message = "failed to decode";
+    break;
+  case -9:
+    raw_message = "failed to decode";
+    break;
+  default:
+    raw_message = "unknown error";
+    break;
+  }
+  const VALUE message = rb_str_new2(raw_message);
+  rb_call_super(1, &message);
+  rb_iv_set(self, "@code", code);
+
+  return self;
+}
+
+void
+init_ruby_whisper_error(VALUE *mWhisper)
+{
+  eError = rb_define_class_under(*mWhisper, "Error", rb_eStandardError);
+
+  rb_define_attr(eError, "code", true, false);
+  rb_define_method(eError, "initialize", ruby_whisper_error_initialize, 1);
+}

bindings/ruby/ext/ruby_whisper_model.c

@@ -0,0 +1,210 @@
+#include <ruby.h>
+#include "ruby_whisper.h"
+
+extern VALUE cModel;
+
+static void rb_whisper_model_mark(ruby_whisper_model *rwm) {
+  rb_gc_mark(rwm->context);
+}
+
+static VALUE ruby_whisper_model_allocate(VALUE klass) {
+  ruby_whisper_model *rwm;
+  rwm = ALLOC(ruby_whisper_model);
+  return Data_Wrap_Struct(klass, rb_whisper_model_mark, RUBY_DEFAULT_FREE, rwm);
+}
+
+VALUE rb_whisper_model_initialize(VALUE context) {
+  ruby_whisper_model *rwm;
+  const VALUE model = ruby_whisper_model_allocate(cModel);
+  Data_Get_Struct(model, ruby_whisper_model, rwm);
+  rwm->context = context;
+  return model;
+};
+
+/*
+ * call-seq:
+ *   n_vocab -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_vocab(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_vocab(rw->context));
+}
+
+/*
+ * call-seq:
+ *   n_audio_ctx -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_audio_ctx(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_audio_ctx(rw->context));
+}
+
+/*
+ * call-seq:
+ *   n_audio_state -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_audio_state(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_audio_state(rw->context));
+}
+
+/*
+ * call-seq:
+ *   n_audio_head -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_audio_head(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_audio_head(rw->context));
+}
+
+/*
+ * call-seq:
+ *   n_audio_layer -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_audio_layer(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_audio_layer(rw->context));
+}
+
+/*
+ * call-seq:
+ *   n_text_ctx -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_text_ctx(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_text_ctx(rw->context));
+}
+
+/*
+ * call-seq:
+ *   n_text_state -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_text_state(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_text_state(rw->context));
+}
+
+/*
+ * call-seq:
+ *   n_text_head -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_text_head(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_text_head(rw->context));
+}
+
+/*
+ * call-seq:
+ *   n_text_layer -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_text_layer(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_text_layer(rw->context));
+}
+
+/*
+ * call-seq:
+ *   n_mels -> Integer
+ */
+static VALUE
+ruby_whisper_model_n_mels(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_n_mels(rw->context));
+}
+
+/*
+ * call-seq:
+ *   ftype -> Integer
+ */
+static VALUE
+ruby_whisper_model_ftype(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return INT2NUM(whisper_model_ftype(rw->context));
+}
+
+/*
+ * call-seq:
+ *   type -> String
+ */
+static VALUE
+ruby_whisper_model_type(VALUE self)
+{
+  ruby_whisper_model *rwm;
+  Data_Get_Struct(self, ruby_whisper_model, rwm);
+  ruby_whisper *rw;
+  Data_Get_Struct(rwm->context, ruby_whisper, rw);
+  return rb_str_new2(whisper_model_type_readable(rw->context));
+}
+
+void
+init_ruby_whisper_model(VALUE *mWhisper)
+{
+  cModel = rb_define_class_under(*mWhisper, "Model", rb_cObject);
+
+  rb_define_alloc_func(cModel, ruby_whisper_model_allocate);
+  rb_define_method(cModel, "n_vocab", ruby_whisper_model_n_vocab, 0);
+  rb_define_method(cModel, "n_audio_ctx", ruby_whisper_model_n_audio_ctx, 0);
+  rb_define_method(cModel, "n_audio_state", ruby_whisper_model_n_audio_state, 0);
+  rb_define_method(cModel, "n_audio_head", ruby_whisper_model_n_audio_head, 0);
+  rb_define_method(cModel, "n_audio_layer", ruby_whisper_model_n_audio_layer, 0);
+  rb_define_method(cModel, "n_text_ctx", ruby_whisper_model_n_text_ctx, 0);
+  rb_define_method(cModel, "n_text_state", ruby_whisper_model_n_text_state, 0);
+  rb_define_method(cModel, "n_text_head", ruby_whisper_model_n_text_head, 0);
+  rb_define_method(cModel, "n_text_layer", ruby_whisper_model_n_text_layer, 0);
+  rb_define_method(cModel, "n_mels", ruby_whisper_model_n_mels, 0);
+  rb_define_method(cModel, "ftype", ruby_whisper_model_ftype, 0);
+  rb_define_method(cModel, "type", ruby_whisper_model_type, 0);
+}

bindings/ruby/ext/ruby_whisper_segment.c

@@ -0,0 +1,123 @@
+#include <ruby.h>
+#include "ruby_whisper.h"
+
+extern VALUE cSegment;
+
+static void
+rb_whisper_segment_mark(ruby_whisper_segment *rws)
+{
+  rb_gc_mark(rws->context);
+}
+
+VALUE
+ruby_whisper_segment_allocate(VALUE klass)
+{
+  ruby_whisper_segment *rws;
+  rws = ALLOC(ruby_whisper_segment);
+  return Data_Wrap_Struct(klass, rb_whisper_segment_mark, RUBY_DEFAULT_FREE, rws);
+}
+
+VALUE
+rb_whisper_segment_initialize(VALUE context, int index)
+{
+  ruby_whisper_segment *rws;
+  const VALUE segment = ruby_whisper_segment_allocate(cSegment);
+  Data_Get_Struct(segment, ruby_whisper_segment, rws);
+  rws->context = context;
+  rws->index = index;
+  return segment;
+};
+
+/*
+ * Start time in milliseconds.
+ *
+ * call-seq:
+ *   start_time -> Integer
+ */
+static VALUE
+ruby_whisper_segment_get_start_time(VALUE self)
+{
+  ruby_whisper_segment *rws;
+  Data_Get_Struct(self, ruby_whisper_segment, rws);
+  ruby_whisper *rw;
+  Data_Get_Struct(rws->context, ruby_whisper, rw);
+  const int64_t t0 = whisper_full_get_segment_t0(rw->context, rws->index);
+  // able to multiply 10 without overflow because to_timestamp() in whisper.cpp does it
+  return INT2NUM(t0 * 10);
+}
+
+/*
+ * End time in milliseconds.
+ *
+ * call-seq:
+ *   end_time -> Integer
+ */
+static VALUE
+ruby_whisper_segment_get_end_time(VALUE self)
+{
+  ruby_whisper_segment *rws;
+  Data_Get_Struct(self, ruby_whisper_segment, rws);
+  ruby_whisper *rw;
+  Data_Get_Struct(rws->context, ruby_whisper, rw);
+  const int64_t t1 = whisper_full_get_segment_t1(rw->context, rws->index);
+  // able to multiply 10 without overflow because to_timestamp() in whisper.cpp does it
+  return INT2NUM(t1 * 10);
+}
+
+/*
+ * Whether the next segment is predicted as a speaker turn.
+ *
+ * call-seq:
+ *   speaker_turn_next? -> bool
+ */
+static VALUE
+ruby_whisper_segment_get_speaker_turn_next(VALUE self)
+{
+  ruby_whisper_segment *rws;
+  Data_Get_Struct(self, ruby_whisper_segment, rws);
+  ruby_whisper *rw;
+  Data_Get_Struct(rws->context, ruby_whisper, rw);
+  return whisper_full_get_segment_speaker_turn_next(rw->context, rws->index) ? Qtrue : Qfalse;
+}
+
+/*
+ * call-seq:
+ *   text -> String
+ */
+static VALUE
+ruby_whisper_segment_get_text(VALUE self)
+{
+  ruby_whisper_segment *rws;
+  Data_Get_Struct(self, ruby_whisper_segment, rws);
+  ruby_whisper *rw;
+  Data_Get_Struct(rws->context, ruby_whisper, rw);
+  const char * text = whisper_full_get_segment_text(rw->context, rws->index);
+  return rb_str_new2(text);
+}
+
+/*
+ * call-seq:
+ *   no_speech_prob -> Float
+ */
+static VALUE
+ruby_whisper_segment_get_no_speech_prob(VALUE self)
+{
+  ruby_whisper_segment *rws;
+  Data_Get_Struct(self, ruby_whisper_segment, rws);
+  ruby_whisper *rw;
+  Data_Get_Struct(rws->context, ruby_whisper, rw);
+  return DBL2NUM(whisper_full_get_segment_no_speech_prob(rw->context, rws->index));
+}
+
+void
+init_ruby_whisper_segment(VALUE *mWhisper, VALUE *cContext)
+{
+  cSegment  = rb_define_class_under(*mWhisper, "Segment", rb_cObject);
+
+  rb_define_alloc_func(cSegment, ruby_whisper_segment_allocate);
+  rb_define_method(cSegment, "start_time", ruby_whisper_segment_get_start_time, 0);
+  rb_define_method(cSegment, "end_time", ruby_whisper_segment_get_end_time, 0);
+  rb_define_method(cSegment, "speaker_next_turn?", ruby_whisper_segment_get_speaker_turn_next, 0);
+  rb_define_method(cSegment, "text", ruby_whisper_segment_get_text, 0);
+  rb_define_method(cSegment, "no_speech_prob", ruby_whisper_segment_get_no_speech_prob, 0);
+}

bindings/ruby/ext/ruby_whisper_transcribe.cpp

@@ -0,0 +1,159 @@
+#include <ruby.h>
+#include "ruby_whisper.h"
+#define DR_WAV_IMPLEMENTATION
+#include "dr_wav.h"
+#include <string>
+#include <vector>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+extern ID id_to_s;
+extern ID id_call;
+
+extern void
+register_callbacks(ruby_whisper_params * rwp, VALUE * self);
+
+/*
+ * transcribe a single file
+ * can emit to a block results
+ *
+ *   params = Whisper::Params.new
+ *   params.duration = 60_000
+ *   whisper.transcribe "path/to/audio.wav", params do |text|
+ *     puts text
+ *   end
+ *
+ * call-seq:
+ *   transcribe(path_to_audio, params) {|text| ...}
+ **/
+VALUE
+ruby_whisper_transcribe(int argc, VALUE *argv, VALUE self) {
+  ruby_whisper *rw;
+  ruby_whisper_params *rwp;
+  VALUE wave_file_path, blk, params;
+
+  rb_scan_args(argc, argv, "02&", &wave_file_path, &params, &blk);
+  Data_Get_Struct(self, ruby_whisper, rw);
+  Data_Get_Struct(params, ruby_whisper_params, rwp);
+
+  if (!rb_respond_to(wave_file_path, id_to_s)) {
+    rb_raise(rb_eRuntimeError, "Expected file path to wave file");
+  }
+
+  std::string fname_inp = StringValueCStr(wave_file_path);
+
+  std::vector<float> pcmf32; // mono-channel F32 PCM
+  std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
+
+  // WAV input - this is directly from main.cpp example
+  {
+    drwav wav;
+    std::vector<uint8_t> wav_data; // used for pipe input from stdin
+
+    if (fname_inp == "-") {
+      {
+        uint8_t buf[1024];
+        while (true) {
+          const size_t n = fread(buf, 1, sizeof(buf), stdin);
+          if (n == 0) {
+            break;
+          }
+          wav_data.insert(wav_data.end(), buf, buf + n);
+        }
+      }
+
+      if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
+        fprintf(stderr, "error: failed to open WAV file from stdin\n");
+        return self;
+      }
+
+      fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
+    } else if (drwav_init_file(&wav, fname_inp.c_str(), nullptr) == false) {
+      fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname_inp.c_str());
+      return self;
+    }
+
+    if (wav.channels != 1 && wav.channels != 2) {
+      fprintf(stderr, "WAV file '%s' must be mono or stereo\n", fname_inp.c_str());
+      return self;
+    }
+
+    if (rwp->diarize && wav.channels != 2 && rwp->params.print_timestamps == false) {
+      fprintf(stderr, "WAV file '%s' must be stereo for diarization and timestamps have to be enabled\n", fname_inp.c_str());
+      return self;
+    }
+
+    if (wav.sampleRate != WHISPER_SAMPLE_RATE) {
+      fprintf(stderr, "WAV file '%s' must be %i kHz\n", fname_inp.c_str(), WHISPER_SAMPLE_RATE/1000);
+      return self;
+    }
+
+    if (wav.bitsPerSample != 16) {
+      fprintf(stderr, "WAV file '%s' must be 16-bit\n", fname_inp.c_str());
+      return self;
+    }
+
+    const uint64_t n = wav_data.empty() ? wav.totalPCMFrameCount : wav_data.size()/(wav.channels*wav.bitsPerSample/8);
+
+    std::vector<int16_t> pcm16;
+    pcm16.resize(n*wav.channels);
+    drwav_read_pcm_frames_s16(&wav, n, pcm16.data());
+    drwav_uninit(&wav);
+
+    // convert to mono, float
+    pcmf32.resize(n);
+    if (wav.channels == 1) {
+      for (uint64_t i = 0; i < n; i++) {
+        pcmf32[i] = float(pcm16[i])/32768.0f;
+      }
+    } else {
+      for (uint64_t i = 0; i < n; i++) {
+        pcmf32[i] = float((int32_t)pcm16[2*i] + pcm16[2*i + 1])/65536.0f;
+      }
+    }
+
+    if (rwp->diarize) {
+      // convert to stereo, float
+      pcmf32s.resize(2);
+
+      pcmf32s[0].resize(n);
+      pcmf32s[1].resize(n);
+      for (uint64_t i = 0; i < n; i++) {
+        pcmf32s[0][i] = float(pcm16[2*i])/32768.0f;
+        pcmf32s[1][i] = float(pcm16[2*i + 1])/32768.0f;
+      }
+    }
+  }
+  {
+    static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
+
+    rwp->params.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, void * user_data) {
+      bool is_aborted = *(bool*)user_data;
+      return !is_aborted;
+    };
+    rwp->params.encoder_begin_callback_user_data = &is_aborted;
+  }
+
+  register_callbacks(rwp, &self);
+
+  if (whisper_full_parallel(rw->context, rwp->params, pcmf32.data(), pcmf32.size(), 1) != 0) {
+    fprintf(stderr, "failed to process audio\n");
+    return self;
+  }
+  const int n_segments = whisper_full_n_segments(rw->context);
+  VALUE output = rb_str_new2("");
+  for (int i = 0; i < n_segments; ++i) {
+    const char * text = whisper_full_get_segment_text(rw->context, i);
+    output = rb_str_concat(output, rb_str_new2(text));
+  }
+  VALUE idCall = id_call;
+  if (blk != Qnil) {
+    rb_funcall(blk, idCall, 1, output);
+  }
+  return self;
+}
+#ifdef __cplusplus
+}
+#endif

bindings/ruby/extsources.rb

@@ -0,0 +1,6 @@
+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

bindings/ruby/lib/whisper/model/uri.rb

@@ -0,0 +1,170 @@
+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
+      rescue => err
+        if cache_path.exist?
+          warn err
+        # Use cache file
+        else
+          raise
+        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

bindings/ruby/sig/whisper.rbs

@@ -0,0 +1,189 @@
+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, Object? user_data) -> log_callback
+
+  class Context
+    def self.new: (string | _ToPath | ::URI::HTTP) -> instance
+    def transcribe: (string, Params) -> self
+                  | (string, Params) { (String) -> void } -> self
+    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 each_segment: { (Segment) -> void } -> void
+                    | () -> Enumerator[Segment]
+    def model: () -> Model
+    def full_get_segment: (Integer nth) -> Segment
+    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] samples, ?Integer n_samples) -> self
+            | (Params, _Samples, ?Integer n_samples) -> self
+    def full_parallel: (Params, Array[Float], ?Integer n_samples) -> self
+                     | (Params, _Samples, ?Integer n_samples) -> self
+                     | (Params, _Samples, ?Integer? n_samples, Integer n_processors) -> self
+  end
+
+  class Params
+    def self.new: (
+      ?language: string,
+      ?translate: boolish,
+      ?no_context: boolish,
+      ?single_segment: boolish,
+      ?print_special: boolish,
+      ?print_progress: boolish,
+      ?print_realtime: boolish,
+      ?print_timestamps: boolish,
+      ?suppress_blank: boolish,
+      ?suppress_nst: boolish,
+      ?token_timestamps: boolish,
+      ?split_on_word: boolish,
+      ?initial_prompt: string | nil,
+      ?diarize: boolish,
+      ?offset: Integer,
+      ?duration: Integer,
+      ?max_text_tokens: Integer,
+      ?temperature: Float,
+      ?max_initial_ts: Float,
+      ?length_penalty: Float,
+      ?temperature_inc: Float,
+      ?entropy_thold: Float,
+      ?logprob_thold: Float,
+      ?no_speech_thold: Float,
+      ?new_segment_callback: new_segment_callback,
+      ?new_segment_callback_user_data: Object,
+      ?progress_callback: progress_callback,
+      ?progress_callback_user_data: Object,
+      ?abort_callback: abort_callback,
+      ?abort_callback_user_data: Object
+    ) -> instance
+    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 | nil)
+    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: () -> (new_segment_callback | nil)
+    def new_segment_callback_user_data=: (Object) -> Object
+    def new_segment_callback_user_data: () -> Object
+    def progress_callback=: (progress_callback) -> progress_callback
+    def progress_callback: () -> (progress_callback | nil)
+    def progress_callback_user_data=: (Object) -> Object
+    def progress_callback_user_data: () -> Object
+    def abort_callback=: (abort_callback) -> abort_callback
+    def abort_callback: () -> (abort_callback | nil)
+    def abort_callback_user_data=: (Object) -> Object
+    def abort_callback_user_data: () -> Object
+    def on_new_segment: { (Segment) -> void } -> void
+    def on_progress: { (Integer progress) -> void } -> void
+    def abort_on: { (Object user_data) -> boolish } -> void
+  end
+
+  class Model
+    def self.pre_converted_models: () -> Hash[String, Model::URI]
+    def self.new: () -> instance
+    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 self.new: (string | ::URI::HTTP) -> self
+      def to_path: -> String
+      def clear_cache: -> void
+    end
+  end
+
+  class Segment
+    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 self.new: (Integer code) -> instance
+  end
+end

bindings/ruby/tests/helper.rb

@@ -0,0 +1,24 @@
+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

bindings/ruby/tests/jfk_reader/.gitignore

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

bindings/ruby/tests/jfk_reader/extconf.rb

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

bindings/ruby/tests/jfk_reader/jfk_reader.c

@@ -0,0 +1,68 @@
+#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);
+}

bindings/ruby/tests/test_callback.rb

@@ -0,0 +1,160 @@
+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

bindings/ruby/tests/test_error.rb

@@ -0,0 +1,20 @@
+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

bindings/ruby/tests/test_model.rb

@@ -0,0 +1,109 @@
+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

bindings/ruby/tests/test_package.rb

@@ -0,0 +1,31 @@
+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

bindings/ruby/tests/test_params.rb

@@ -0,0 +1,246 @@
+require_relative "helper"
+
+class TestParams < TestBase
+  PARAM_NAMES = [
+    :language,
+    :translate,
+    :no_context,
+    :single_segment,
+    :print_special,
+    :print_progress,
+    :print_realtime,
+    :print_timestamps,
+    :suppress_blank,
+    :suppress_nst,
+    :token_timestamps,
+    :split_on_word,
+    :initial_prompt,
+    :diarize,
+    :offset,
+    :duration,
+    :max_text_tokens,
+    :temperature,
+    :max_initial_ts,
+    :length_penalty,
+    :temperature_inc,
+    :entropy_thold,
+    :logprob_thold,
+    :no_speech_thold,
+    :new_segment_callback,
+    :new_segment_callback_user_data,
+    :progress_callback,
+    :progress_callback_user_data,
+    :abort_callback,
+    :abort_callback_user_data,
+  ]
+
+  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
+
+  def test_new_with_kw_args
+    params = Whisper::Params.new(language: "es")
+    assert_equal "es", params.language
+    assert_equal 1.0, params.max_initial_ts
+  end
+
+  def test_new_with_kw_args_non_existent
+    assert_raise ArgumentError do
+      Whisper::Params.new(non_existent: "value")
+    end
+  end
+
+  def test_new_with_kw_args_wrong_type
+    assert_raise TypeError do
+      Whisper::Params.new(language: 3)
+    end
+  end
+
+  data(PARAM_NAMES.collect {|param| [param, param]}.to_h)
+  def test_new_with_kw_args_default_values(param)
+    default_value = @params.send(param)
+    value = case [param, default_value]
+            in [*, true | false]
+              !default_value
+            in [*, Integer | Float]
+              default_value + 1
+            in [:language, *]
+              "es"
+            in [:initial_prompt, *]
+              "Initial prompt"
+            in [/_callback\Z/, *]
+              proc {}
+            in [/_user_data\Z/, *]
+              Object.new
+            end
+    params = Whisper::Params.new(param => value)
+    if Float === value
+      assert_in_delta value, params.send(param)
+    else
+      assert_equal value, params.send(param)
+    end
+
+    PARAM_NAMES.reject {|name| name == param}.each do |name|
+      expected = @params.send(name)
+      actual = params.send(name)
+      if Float === expected
+        assert_in_delta expected, actual
+      else
+        assert_equal expected, actual
+      end
+    end
+  end
+end

bindings/ruby/tests/test_segment.rb

@@ -0,0 +1,74 @@
+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

bindings/ruby/tests/test_whisper.rb

@@ -1,131 +1,223 @@
-TOPDIR = File.expand_path(File.join(File.dirname(__FILE__), '..'))
-EXTDIR = File.join(TOPDIR, 'ext')
-#$LIBDIR = File.join(TOPDIR, 'lib')
-#$:.unshift(LIBDIR)
-$:.unshift(EXTDIR)
+require_relative "helper"
+require "stringio"
+require "etc"
 
-require 'whisper'
-require 'test/unit'
+# Exists to detect memory-related bug
+Whisper.log_set ->(level, buffer, user_data) {}, nil
 
-class TestWhisper < Test::Unit::TestCase
+class TestWhisper < 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_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(File.join(TOPDIR, '..', '..', 'models', 'ggml-base.en.bin'))
+    @whisper = Whisper::Context.new("base.en")
     params  = Whisper::Params.new
     params.print_timestamps = false
 
-    jfk = File.join(TOPDIR, '..', '..', 'samples', 'jfk.wav')
-    @whisper.transcribe(jfk, params) {|text|
+    @whisper.transcribe(AUDIO, 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
+      segment = whisper.full_get_segment(0)
+      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
+
+    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

bindings/ruby/whispercpp.gemspec

@@ -1,28 +1,36 @@
+require_relative "extsources"
+
 Gem::Specification.new do |s|
   s.name    = "whispercpp"
   s.authors = ["Georgi Gerganov", "Todd A. Fisher"]
-  s.version = '1.3.0'
-  s.date    = '2024-05-14'
+  s.version = '1.3.1'
+  s.date    = '2024-12-19'
   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"]
 
-  #### Load-time details
-  s.require_paths = ['lib','ext']
+  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
+              }
+
   s.summary = %q{Ruby whisper.cpp bindings}
-  s.test_files = ["tests/test_whisper.rb"]
-  
+  s.test_files = s.files.select {|file| file.start_with? "tests/"}
+
   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

close-issue.yml

@@ -0,0 +1,28 @@
+name: Close inactive issues
+on:
+  schedule:
+    - cron: "42 0 * * *"
+
+# Fine-grant permission
+# https://docs.github.com/en/actions/security-for-github-actions/security-guides/automatic-token-authentication#modifying-the-permissions-for-the-github_token
+permissions:
+  issues: write
+
+jobs:
+  close-issues:
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: write
+    steps:
+      - uses: actions/stale@v5
+        with:
+          exempt-issue-labels: "refactor,help wanted,good first issue,research,bug,roadmap"
+          days-before-issue-stale: 30
+          days-before-issue-close: 14
+          stale-issue-label: "stale"
+          close-issue-message: "This issue was closed because it has been inactive for 14 days since being marked as stale."
+          days-before-pr-stale: -1
+          days-before-pr-close: -1
+          operations-per-run: 10000
+          repo-token: ${{ secrets.GITHUB_TOKEN }}

cmake/DefaultTargetOptions.cmake

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

cmake/build-info.cmake

@@ -42,6 +42,8 @@ endif()
 if(MSVC)
     set(BUILD_COMPILER "${CMAKE_C_COMPILER_ID} ${CMAKE_C_COMPILER_VERSION}")
     set(BUILD_TARGET ${CMAKE_VS_PLATFORM_NAME})
+    add_compile_options("$<$<COMPILE_LANGUAGE:C>:/utf-8>")
+    add_compile_options("$<$<COMPILE_LANGUAGE:CXX>:/utf-8>")
 else()
     execute_process(
         COMMAND sh -c "$@ --version | head -1" _ ${CMAKE_C_COMPILER}

cmake/whisper.pc.in

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

examples/CMakeLists.txt

@@ -97,52 +97,29 @@ 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(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(cli)
     add_subdirectory(bench)
-    set_target_properties(bench PROPERTIES FOLDER "examples")
+    add_subdirectory(server)
     add_subdirectory(quantize)
-    set_target_properties(quantize PROPERTIES FOLDER "examples")
-if (WHISPER_SDL2)
-    # TODO: disabled until update
-    #       https://github.com/ggerganov/whisper.cpp/issues/1818
-    #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 (GGML_SYCL)
-        add_subdirectory(sycl)
-        set_target_properties(sycl PROPERTIES FOLDER "examples")
-    endif()
-endif (WHISPER_SDL2)
+    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)
 endif()
 
 if (WHISPER_SDL2)
     add_subdirectory(wchess)
-    set_target_properties(wchess PROPERTIES FOLDER "examples")
 endif (WHISPER_SDL2)

examples/addon.node/addon.cpp

@@ -330,6 +330,7 @@ Napi::Value whisper(const Napi::CallbackInfo& info) {
   bool no_timestamps = whisper_params.Get("no_timestamps").As<Napi::Boolean>();
   int32_t audio_ctx = whisper_params.Get("audio_ctx").As<Napi::Number>();
   bool comma_in_time = whisper_params.Get("comma_in_time").As<Napi::Boolean>();
+  int32_t max_len = whisper_params.Get("max_len").As<Napi::Number>();
 
   Napi::Value pcmf32Value = whisper_params.Get("pcmf32");
   std::vector<float> pcmf32_vec;
@@ -352,6 +353,7 @@ Napi::Value whisper(const Napi::CallbackInfo& info) {
   params.audio_ctx = audio_ctx;
   params.pcmf32 = pcmf32_vec;
   params.comma_in_time = comma_in_time;
+  params.max_len = max_len;
 
   Napi::Function callback = info[1].As<Napi::Function>();
   Worker* worker = new Worker(callback, params);

examples/addon.node/index.js

@@ -18,6 +18,7 @@ const whisperParams = {
   translate: true,
   no_timestamps: false,
   audio_ctx: 0,
+  max_len: 0,
 };
 
 const arguments = process.argv.slice(2);

examples/bench/CMakeLists.txt

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

examples/bench/README.md

@@ -1,4 +1,4 @@
-# bench
+# whisper.cpp/examples/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
@@ -7,11 +7,8 @@ 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
-# 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
+# run the bench too on the small.en model using 4 threads
+$ ./build/bin/whisper-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

examples/cli/CMakeLists.txt

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

examples/cli/README.md

@@ -1,12 +1,12 @@
-# main
+# whisper.cpp/examples/cli
 
 This is the main example demonstrating most of the functionality of the Whisper model.
 It can be used as a reference for using the `whisper.cpp` library in other projects.
 
 ```
-./main -h
+./build/bin/whisper-cli -h
 
-usage: ./main [options] file0.wav file1.wav ...
+usage: ./build-pkg/bin/whisper-cli [options] file0.wav file1.wav ...
 
 options:
   -h,        --help              [default] show this help message and exit
@@ -20,9 +20,12 @@ options:
   -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
+  -ac N,     --audio-ctx N       [0      ] audio context size (0 - all)
   -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
+  -tp,       --temperature N     [0.00   ] The sampling temperature, between 0 and 1
+  -tpi,      --temperature-inc N [0.20   ] The increment of temperature, between 0 and 1
   -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
@@ -38,16 +41,23 @@ options:
   -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)
+  -np,       --no-prints         [false  ] do not print anything other than the results
   -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
+             --prompt PROMPT     [       ] initial prompt (max n_text_ctx/2 tokens)
   -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
+  -dtw MODEL --dtw MODEL         [       ] compute token-level timestamps
   -ls,       --log-score         [false  ] log best decoder scores of tokens
   -ng,       --no-gpu            [false  ] disable GPU
+  -fa,       --flash-attn        [false  ] flash attention
+  --suppress-regex REGEX         [       ] regular expression matching tokens to suppress
+  --grammar GRAMMAR              [       ] GBNF grammar to guide decoding
+  --grammar-rule RULE            [       ] top-level GBNF grammar rule name
+  --grammar-penalty N            [100.0  ] scales down logits of nongrammar tokens
 ```

examples/cli/cli.cpp

@@ -12,6 +12,11 @@
 #include <vector>
 #include <cstring>
 
+#if defined(_WIN32)
+#define NOMINMAX
+#include <windows.h>
+#endif
+
 #if defined(_MSC_VER)
 #pragma warning(disable: 4244 4267) // possible loss of data
 #endif
@@ -43,6 +48,7 @@ struct whisper_params {
     float word_thold      =  0.01f;
     float entropy_thold   =  2.40f;
     float logprob_thold   = -1.00f;
+    float no_speech_thold =  0.6f;
     float grammar_penalty = 100.0f;
     float temperature     = 0.0f;
     float temperature_inc = 0.2f;
@@ -70,6 +76,7 @@ struct whisper_params {
     bool log_score       = false;
     bool use_gpu         = true;
     bool flash_attn      = false;
+    bool suppress_nst    = false;
 
     std::string language  = "en";
     std::string prompt;
@@ -104,6 +111,11 @@ static char * whisper_param_turn_lowercase(char * in){
     return in;
 }
 
+static char * requires_value_error(const std::string & arg) {
+    fprintf(stderr, "error: argument %s requires value\n", arg.c_str());
+    exit(0);
+}
+
 static bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
     for (int i = 1; i < argc; i++) {
         std::string arg = argv[i];
@@ -122,21 +134,23 @@ static bool whisper_params_parse(int argc, char ** argv, whisper_params & params
             whisper_print_usage(argc, argv, params);
             exit(0);
         }
-        else if (arg == "-t"    || arg == "--threads")         { params.n_threads       = std::stoi(argv[++i]); }
-        else if (arg == "-p"    || arg == "--processors")      { params.n_processors    = std::stoi(argv[++i]); }
-        else if (arg == "-ot"   || arg == "--offset-t")        { params.offset_t_ms     = std::stoi(argv[++i]); }
-        else if (arg == "-on"   || arg == "--offset-n")        { params.offset_n        = std::stoi(argv[++i]); }
-        else if (arg == "-d"    || arg == "--duration")        { params.duration_ms     = std::stoi(argv[++i]); }
-        else if (arg == "-mc"   || arg == "--max-context")     { params.max_context     = std::stoi(argv[++i]); }
-        else if (arg == "-ml"   || arg == "--max-len")         { params.max_len         = std::stoi(argv[++i]); }
-        else if (arg == "-bo"   || arg == "--best-of")         { params.best_of         = std::stoi(argv[++i]); }
-        else if (arg == "-bs"   || arg == "--beam-size")       { params.beam_size       = std::stoi(argv[++i]); }
-        else if (arg == "-ac"   || arg == "--audio-ctx")       { params.audio_ctx       = std::stoi(argv[++i]); }
-        else if (arg == "-wt"   || arg == "--word-thold")      { params.word_thold      = std::stof(argv[++i]); }
-        else if (arg == "-et"   || arg == "--entropy-thold")   { params.entropy_thold   = std::stof(argv[++i]); }
-        else if (arg == "-lpt"  || arg == "--logprob-thold")   { params.logprob_thold   = std::stof(argv[++i]); }
-        else if (arg == "-tp"   || arg == "--temperature")     { params.temperature     = std::stof(argv[++i]); }
-        else if (arg == "-tpi"  || arg == "--temperature-inc") { params.temperature_inc = std::stof(argv[++i]); }
+        #define ARGV_NEXT (((i + 1) < argc) ? argv[++i] : requires_value_error(arg))
+        else if (arg == "-t"    || arg == "--threads")         { params.n_threads       = std::stoi(ARGV_NEXT); }
+        else if (arg == "-p"    || arg == "--processors")      { params.n_processors    = std::stoi(ARGV_NEXT); }
+        else if (arg == "-ot"   || arg == "--offset-t")        { params.offset_t_ms     = std::stoi(ARGV_NEXT); }
+        else if (arg == "-on"   || arg == "--offset-n")        { params.offset_n        = std::stoi(ARGV_NEXT); }
+        else if (arg == "-d"    || arg == "--duration")        { params.duration_ms     = std::stoi(ARGV_NEXT); }
+        else if (arg == "-mc"   || arg == "--max-context")     { params.max_context     = std::stoi(ARGV_NEXT); }
+        else if (arg == "-ml"   || arg == "--max-len")         { params.max_len         = std::stoi(ARGV_NEXT); }
+        else if (arg == "-bo"   || arg == "--best-of")         { params.best_of         = std::stoi(ARGV_NEXT); }
+        else if (arg == "-bs"   || arg == "--beam-size")       { params.beam_size       = std::stoi(ARGV_NEXT); }
+        else if (arg == "-ac"   || arg == "--audio-ctx")       { params.audio_ctx       = std::stoi(ARGV_NEXT); }
+        else if (arg == "-wt"   || arg == "--word-thold")      { params.word_thold      = std::stof(ARGV_NEXT); }
+        else if (arg == "-et"   || arg == "--entropy-thold")   { params.entropy_thold   = std::stof(ARGV_NEXT); }
+        else if (arg == "-lpt"  || arg == "--logprob-thold")   { params.logprob_thold   = std::stof(ARGV_NEXT); }
+        else if (arg == "-nth"  || arg == "--no-speech-thold") { params.no_speech_thold = std::stof(ARGV_NEXT); }
+        else if (arg == "-tp"   || arg == "--temperature")     { params.temperature     = std::stof(ARGV_NEXT); }
+        else if (arg == "-tpi"  || arg == "--temperature-inc") { params.temperature_inc = std::stof(ARGV_NEXT); }
         else if (arg == "-debug"|| arg == "--debug-mode")      { params.debug_mode      = true; }
         else if (arg == "-tr"   || arg == "--translate")       { params.translate       = true; }
         else if (arg == "-di"   || arg == "--diarize")         { params.diarize         = true; }
@@ -148,30 +162,31 @@ static bool whisper_params_parse(int argc, char ** argv, whisper_params & params
         else if (arg == "-osrt" || arg == "--output-srt")      { params.output_srt      = true; }
         else if (arg == "-owts" || arg == "--output-words")    { params.output_wts      = true; }
         else if (arg == "-olrc" || arg == "--output-lrc")      { params.output_lrc      = true; }
-        else if (arg == "-fp"   || arg == "--font-path")       { params.font_path       = argv[++i]; }
+        else if (arg == "-fp"   || arg == "--font-path")       { params.font_path       = ARGV_NEXT; }
         else if (arg == "-ocsv" || arg == "--output-csv")      { params.output_csv      = true; }
         else if (arg == "-oj"   || arg == "--output-json")     { params.output_jsn      = true; }
         else if (arg == "-ojf"  || arg == "--output-json-full"){ params.output_jsn_full = params.output_jsn = true; }
-        else if (arg == "-of"   || arg == "--output-file")     { params.fname_out.emplace_back(argv[++i]); }
+        else if (arg == "-of"   || arg == "--output-file")     { params.fname_out.emplace_back(ARGV_NEXT); }
         else if (arg == "-np"   || arg == "--no-prints")       { params.no_prints       = true; }
         else if (arg == "-ps"   || arg == "--print-special")   { params.print_special   = true; }
         else if (arg == "-pc"   || arg == "--print-colors")    { params.print_colors    = true; }
         else if (arg == "-pp"   || arg == "--print-progress")  { params.print_progress  = true; }
         else if (arg == "-nt"   || arg == "--no-timestamps")   { params.no_timestamps   = true; }
-        else if (arg == "-l"    || arg == "--language")        { params.language        = whisper_param_turn_lowercase(argv[++i]); }
+        else if (arg == "-l"    || arg == "--language")        { params.language        = whisper_param_turn_lowercase(ARGV_NEXT); }
         else if (arg == "-dl"   || arg == "--detect-language") { params.detect_language = true; }
-        else if (                  arg == "--prompt")          { params.prompt          = argv[++i]; }
-        else if (arg == "-m"    || arg == "--model")           { params.model           = argv[++i]; }
-        else if (arg == "-f"    || arg == "--file")            { params.fname_inp.emplace_back(argv[++i]); }
-        else if (arg == "-oved" || arg == "--ov-e-device")     { params.openvino_encode_device = argv[++i]; }
-        else if (arg == "-dtw"  || arg == "--dtw")             { params.dtw             = argv[++i]; }
+        else if (                  arg == "--prompt")          { params.prompt          = ARGV_NEXT; }
+        else if (arg == "-m"    || arg == "--model")           { params.model           = ARGV_NEXT; }
+        else if (arg == "-f"    || arg == "--file")            { params.fname_inp.emplace_back(ARGV_NEXT); }
+        else if (arg == "-oved" || arg == "--ov-e-device")     { params.openvino_encode_device = ARGV_NEXT; }
+        else if (arg == "-dtw"  || arg == "--dtw")             { params.dtw             = ARGV_NEXT; }
         else if (arg == "-ls"   || arg == "--log-score")       { params.log_score       = true; }
         else if (arg == "-ng"   || arg == "--no-gpu")          { params.use_gpu         = false; }
         else if (arg == "-fa"   || arg == "--flash-attn")      { params.flash_attn      = true; }
-        else if (                  arg == "--suppress-regex")  { params.suppress_regex  = argv[++i]; }
-        else if (                  arg == "--grammar")         { params.grammar         = argv[++i]; }
-        else if (                  arg == "--grammar-rule")    { params.grammar_rule    = argv[++i]; }
-        else if (                  arg == "--grammar-penalty") { params.grammar_penalty = std::stof(argv[++i]); }
+        else if (arg == "-sns"  || arg == "--suppress-nst")    { params.suppress_nst    = true; }
+        else if (                  arg == "--suppress-regex")  { params.suppress_regex  = ARGV_NEXT; }
+        else if (                  arg == "--grammar")         { params.grammar         = ARGV_NEXT; }
+        else if (                  arg == "--grammar-rule")    { params.grammar_rule    = ARGV_NEXT; }
+        else if (                  arg == "--grammar-penalty") { params.grammar_penalty = std::stof(ARGV_NEXT); }
         else {
             fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
             whisper_print_usage(argc, argv, params);
@@ -202,6 +217,7 @@ static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params
     fprintf(stderr, "  -wt N,     --word-thold N      [%-7.2f] word timestamp probability threshold\n",         params.word_thold);
     fprintf(stderr, "  -et N,     --entropy-thold N   [%-7.2f] entropy threshold for decoder fail\n",           params.entropy_thold);
     fprintf(stderr, "  -lpt N,    --logprob-thold N   [%-7.2f] log probability threshold for decoder fail\n",   params.logprob_thold);
+    fprintf(stderr, "  -nth N,    --no-speech-thold N [%-7.2f] no speech threshold\n",                          params.no_speech_thold);
     fprintf(stderr, "  -tp,       --temperature N     [%-7.2f] The sampling temperature, between 0 and 1\n",    params.temperature);
     fprintf(stderr, "  -tpi,      --temperature-inc N [%-7.2f] The increment of temperature, between 0 and 1\n",params.temperature_inc);
     fprintf(stderr, "  -debug,    --debug-mode        [%-7s] enable debug mode (eg. dump log_mel)\n",           params.debug_mode ? "true" : "false");
@@ -234,6 +250,7 @@ static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params
     fprintf(stderr, "  -ls,       --log-score         [%-7s] log best decoder scores of tokens\n",              params.log_score?"true":"false");
     fprintf(stderr, "  -ng,       --no-gpu            [%-7s] disable GPU\n",                                    params.use_gpu ? "false" : "true");
     fprintf(stderr, "  -fa,       --flash-attn        [%-7s] flash attention\n",                                params.flash_attn ? "true" : "false");
+    fprintf(stderr, "  -sns,      --suppress-nst      [%-7s] suppress non-speech tokens\n",                     params.suppress_nst ? "true" : "false");
     fprintf(stderr, "  --suppress-regex REGEX         [%-7s] regular expression matching tokens to suppress\n", params.suppress_regex.c_str());
     fprintf(stderr, "  --grammar GRAMMAR              [%-7s] GBNF grammar to guide decoding\n",                 params.grammar.c_str());
     fprintf(stderr, "  --grammar-rule RULE            [%-7s] top-level GBNF grammar rule name\n",               params.grammar_rule.c_str());
@@ -904,6 +921,13 @@ static bool output_lrc(struct whisper_context * ctx, const char * fname, const w
 static void cb_log_disable(enum ggml_log_level , const char * , void * ) { }
 
 int main(int argc, char ** argv) {
+#if defined(_WIN32)
+    // Set the console output code page to UTF-8, while command line arguments
+    // are still encoded in the system's code page. In this way, we can print
+    // non-ASCII characters to the console, and access files with non-ASCII paths.
+    SetConsoleOutputCP(CP_UTF8);
+#endif
+
     whisper_params params;
 
     // If the only argument starts with "@", read arguments line-by-line
@@ -997,6 +1021,7 @@ int main(int argc, char ** argv) {
         if (params.dtw == "large.v1")  cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V1;
         if (params.dtw == "large.v2")  cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V2;
         if (params.dtw == "large.v3")  cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V3;
+        if (params.dtw == "large.v3.turbo")  cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V3_TURBO;
 
         if (cparams.dtw_aheads_preset == WHISPER_AHEADS_NONE) {
             fprintf(stderr, "error: unknown DTW preset '%s'\n", params.dtw.c_str());
@@ -1120,9 +1145,12 @@ int main(int argc, char ** argv) {
 
             wparams.entropy_thold    = params.entropy_thold;
             wparams.logprob_thold    = params.logprob_thold;
+            wparams.no_speech_thold  = params.no_speech_thold;
 
             wparams.no_timestamps    = params.no_timestamps;
 
+            wparams.suppress_nst     = params.suppress_nst;
+
             whisper_print_user_data user_data = { &params, &pcmf32s, 0 };
 
             const auto & grammar_parsed = params.grammar_parsed;

examples/command/CMakeLists.txt

@@ -1,9 +1,10 @@
 if (WHISPER_SDL2)
-    # command
-    set(TARGET command)
+    set(TARGET whisper-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 ()

examples/command/README.md

@@ -1,14 +1,14 @@
-# command
+# whisper.cpp/examples/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
-./command -m ./models/ggml-small.en.bin -t 8
+./whisper-command -m ./models/ggml-small.en.bin -t 8
 
 # On Raspberry Pi, use tiny or base models + "-ac 768" for better performance
-./command -m ./models/ggml-tiny.en.bin -ac 768 -t 3 -c 0
+./whisper-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
-./command -m ./models/ggml-base.en.bin -cmd ./examples/command/commands.txt
+./whisper-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
-./command -m ./models/ggml-tiny.en.bin -cmd ./examples/command/commands.txt -ac 128 -t 3 -c 0
+./whisper-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 `command` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
+The `whisper-command` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
 
 ```bash
 # Install SDL2
@@ -47,5 +47,6 @@ sudo dnf install SDL2 SDL2-devel
 # Install SDL2 on Mac OS
 brew install sdl2
 
-make command
+cmake -B build -DWHISPER_SDL2=ON
+cmake --build build --config Release
 ```

examples/command/command.cpp

@@ -21,6 +21,12 @@
 #include <thread>
 #include <vector>
 #include <map>
+#include <chrono>
+
+#if defined(_WIN32)
+#define NOMINMAX
+#include <windows.h>
+#endif
 
 // command-line parameters
 struct whisper_params {
@@ -679,6 +685,10 @@ static int process_general_transcription(struct whisper_context * ctx, audio_asy
 }
 
 int main(int argc, char ** argv) {
+#if defined(_WIN32)
+    SetConsoleOutputCP(CP_UTF8);
+#endif
+
     whisper_params params;
 
     if (whisper_params_parse(argc, argv, params) == false) {

examples/common-ggml.cpp

@@ -72,9 +72,6 @@ bool ggml_common_quantize_0(
         case GGML_FTYPE_MOSTLY_IQ4_XS:
         case GGML_FTYPE_MOSTLY_IQ1_M:
         case GGML_FTYPE_MOSTLY_BF16:
-        case GGML_FTYPE_MOSTLY_Q4_0_4_4:
-        case GGML_FTYPE_MOSTLY_Q4_0_4_8:
-        case GGML_FTYPE_MOSTLY_Q4_0_8_8:
                 {
                     fprintf(stderr, "%s: invalid model type %d\n", __func__, ftype);
                     return false;
@@ -212,9 +209,6 @@ bool ggml_common_quantize_0(
                 case GGML_TYPE_IQ4_XS:
                 case GGML_TYPE_IQ1_M:
                 case GGML_TYPE_BF16:
-                case GGML_TYPE_Q4_0_4_4:
-                case GGML_TYPE_Q4_0_4_8:
-                case GGML_TYPE_Q4_0_8_8:
                 case GGML_TYPE_TQ1_0:
                 case GGML_TYPE_TQ2_0:
                 case GGML_TYPE_COUNT:

examples/common-sdl.cpp

@@ -1,5 +1,7 @@
 #include "common-sdl.h"
 
+#include <cstdio>
+
 audio_async::audio_async(int len_ms) {
     m_len_ms = len_ms;
 

examples/deprecation-warning/CMakeLists.txt

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

examples/deprecation-warning/README.md

@@ -0,0 +1,17 @@
+# 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 |

examples/deprecation-warning/deprecation-warning.cpp

@@ -0,0 +1,38 @@
+// 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;
+}

examples/ffmpeg-transcode.cpp

@@ -204,8 +204,6 @@ 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);

examples/generate-karaoke.sh

@@ -11,7 +11,7 @@
 # Press Ctrl+C to stop recording
 #
 
-executable="./main"
+executable="./build/bin/whisper-cli"
 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 ..."
-./main -m models/ggml-base.en.bin rec16.wav -owts > /dev/null 2>&1
+${executable} -m models/ggml-base.en.bin rec16.wav -owts > /dev/null 2>&1
 
 # generate Karaoke video
 echo "Generating video ..."

examples/livestream.sh

@@ -14,7 +14,7 @@ model="base.en"
 
 check_requirements()
 {
-    if ! command -v ./main &>/dev/null; then
+    if ! command -v ./build/bin/whisper-cli &>/dev/null; then
         echo "whisper.cpp main executable is required (make)"
         exit 1
     fi
@@ -100,7 +100,7 @@ while [ $running -eq 1 ]; do
         err=$(cat /tmp/whisper-live.err | wc -l)
     done
 
-    ./main -t 8 -m ./models/ggml-${model}.bin -f /tmp/whisper-live.wav --no-timestamps -otxt 2> /tmp/whispererr | tail -n 1
+    ./build/bin/whisper-cli -t 8 -m ./models/ggml-${model}.bin -f /tmp/whisper-live.wav --no-timestamps -otxt 2> /tmp/whispererr | tail -n 1
 
     while [ $SECONDS -lt $((($i+1)*$step_s)) ]; do
         sleep 1
@@ -109,4 +109,4 @@ while [ $running -eq 1 ]; do
 done
 
 killall -v ffmpeg
-killall -v main
+killall -v whisper-cli

examples/lsp/lsp.cpp

@@ -11,6 +11,7 @@
 #include <vector>
 #include <deque>
 #include <set>
+#include <chrono>
 
 using json = nlohmann::json;
 
@@ -181,7 +182,7 @@ static json unguided_transcription(struct whisper_context * ctx, audio_async &au
     wparams.n_threads        = params.n_threads;
 
     wparams.audio_ctx        = params.audio_ctx;
-    wparams.suppress_non_speech_tokens = true;
+    wparams.suppress_nst     = true;
     // run the transformer and a single decoding pass
     if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
         fprintf(stderr, "%s: ERROR: whisper_full() failed\n", __func__);
@@ -225,7 +226,7 @@ static json guided_transcription(struct whisper_context * ctx, audio_async &audi
     wparams.prompt_tokens    = cs.prompt_tokens.data();
     wparams.prompt_n_tokens  = cs.prompt_tokens.size();
     // TODO: properly expose as option
-    wparams.suppress_non_speech_tokens = true;
+    wparams.suppress_nst     = true;
 
     // run the transformer and a single decoding pass
     if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {

examples/server/CMakeLists.txt

@@ -1,4 +1,4 @@
-set(TARGET server)
+set(TARGET whisper-server)
 add_executable(${TARGET} server.cpp httplib.h)
 
 include(DefaultTargetOptions)
@@ -8,3 +8,5 @@ target_link_libraries(${TARGET} PRIVATE common json_cpp whisper ${CMAKE_THREAD_L
 if (WIN32)
     target_link_libraries(${TARGET} PRIVATE ws2_32)
 endif()
+
+install(TARGETS ${TARGET} RUNTIME)

examples/server/README.md

@@ -1,4 +1,4 @@
-# whisper.cpp http server
+# whisper.cpp/examples/server
 
 Simple http server. WAV Files are passed to the inference model via http requests.
 
@@ -7,9 +7,9 @@ https://github.com/ggerganov/whisper.cpp/assets/1991296/e983ee53-8741-4eb5-9048-
 ## Usage
 
 ```
-./server -h
+./build/bin/whisper-server -h
 
-usage: ./bin/server [options]
+usage: ./build/bin/whisper-server [options]
 
 options:
   -h,        --help              [default] show this help message and exit

examples/server/server.cpp

@@ -12,6 +12,7 @@
 #include <vector>
 #include <cstring>
 #include <sstream>
+#include <chrono>
 
 #if defined(_MSC_VER)
 #pragma warning(disable: 4244 4267) // possible loss of data
@@ -61,6 +62,7 @@ struct whisper_params {
     float logprob_thold   = -1.00f;
     float temperature     =  0.00f;
     float temperature_inc =  0.20f;
+    float no_speech_thold = 0.6f;
 
     bool debug_mode      = false;
     bool translate       = false;
@@ -76,6 +78,7 @@ struct whisper_params {
     bool no_timestamps   = false;
     bool use_gpu         = true;
     bool flash_attn      = false;
+    bool suppress_nst    = false;
 
     std::string language        = "en";
     std::string prompt          = "";
@@ -134,7 +137,9 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
     fprintf(stderr, "  --public PATH,                 [%-7s] Path to the public folder\n", sparams.public_path.c_str());
     fprintf(stderr, "  --request-path PATH,           [%-7s] Request path for all requests\n", sparams.request_path.c_str());
     fprintf(stderr, "  --inference-path PATH,         [%-7s] Inference path for all requests\n", sparams.inference_path.c_str());
-    fprintf(stderr, "  --convert,                     [%-7s] Convert audio to WAV, requires ffmpeg on the server", sparams.ffmpeg_converter ? "true" : "false");
+    fprintf(stderr, "  --convert,                     [%-7s] Convert audio to WAV, requires ffmpeg on the server\n", sparams.ffmpeg_converter ? "true" : "false");
+    fprintf(stderr, "  -sns,      --suppress-nst      [%-7s] suppress non-speech tokens\n", params.suppress_nst ? "true" : "false");
+    fprintf(stderr, "  -nth N,    --no-speech-thold N [%-7.2f] no speech threshold\n",   params.no_speech_thold);
     fprintf(stderr, "\n");
 }
 
@@ -179,6 +184,9 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params, serve
         else if (arg == "-dtw"  || arg == "--dtw")             { params.dtw             = argv[++i]; }
         else if (arg == "-ng"   || arg == "--no-gpu")          { params.use_gpu         = false; }
         else if (arg == "-fa"   || arg == "--flash-attn")      { params.flash_attn      = true; }
+        else if (arg == "-sns"  || arg == "--suppress-nst")    { params.suppress_nst    = true; }
+        else if (arg == "-nth"  || arg == "--no-speech-thold") { params.no_speech_thold = std::stof(argv[++i]); }
+
         // server params
         else if (                  arg == "--port")            { sparams.port        = std::stoi(argv[++i]); }
         else if (                  arg == "--host")            { sparams.hostname    = argv[++i]; }
@@ -216,6 +224,24 @@ void check_ffmpeg_availibility() {
     }
 }
 
+std::string generate_temp_filename(const std::string &prefix, const std::string &extension) {
+    auto now = std::chrono::system_clock::now();
+    auto now_time_t = std::chrono::system_clock::to_time_t(now);
+
+    static std::mt19937 rng{std::random_device{}()};
+    std::uniform_int_distribution<long long> dist(0, 1e9);
+
+    std::stringstream ss;
+    ss << prefix
+       << "-"
+       << std::put_time(std::localtime(&now_time_t), "%Y%m%d-%H%M%S")
+       << "-"
+       << dist(rng)
+       << extension;
+
+    return ss.str();
+}
+
 bool convert_to_wav(const std::string & temp_filename, std::string & error_resp) {
     std::ostringstream cmd_stream;
     std::string converted_filename_temp = temp_filename + "_temp.wav";
@@ -472,6 +498,14 @@ void get_req_parameters(const Request & req, whisper_params & params)
     {
         params.temperature_inc = std::stof(req.get_file_value("temperature_inc").content);
     }
+    if (req.has_file("suppress_non_speech"))
+    {
+        params.suppress_nst = parse_str_to_bool(req.get_file_value("suppress_non_speech").content);
+    }
+    if (req.has_file("suppress_nst"))
+    {
+        params.suppress_nst = parse_str_to_bool(req.get_file_value("suppress_nst").content);
+    }
 }
 
 }  // namespace
@@ -677,8 +711,7 @@ int main(int argc, char ** argv) {
         if (sparams.ffmpeg_converter) {
             // if file is not wav, convert to wav
             // write to temporary file
-            const std::string temp_filename_base = std::tmpnam(nullptr);
-            const std::string temp_filename = temp_filename_base + ".wav";
+            const std::string temp_filename = generate_temp_filename("whisper-server", ".wav");
             std::ofstream temp_file{temp_filename, std::ios::binary};
             temp_file << audio_file.content;
             temp_file.close();
@@ -711,7 +744,6 @@ int main(int argc, char ** argv) {
             }
         }
 
-
         printf("Successfully loaded %s\n", filename.c_str());
 
         // print system information
@@ -779,6 +811,7 @@ int main(int argc, char ** argv) {
             wparams.beam_search.beam_size = params.beam_size;
 
             wparams.temperature      = params.temperature;
+            wparams.no_speech_thold = params.no_speech_thold;
             wparams.temperature_inc  = params.temperature_inc;
             wparams.entropy_thold    = params.entropy_thold;
             wparams.logprob_thold    = params.logprob_thold;
@@ -786,6 +819,8 @@ int main(int argc, char ** argv) {
             wparams.no_timestamps    = params.no_timestamps;
             wparams.token_timestamps = !params.no_timestamps && params.response_format == vjson_format;
 
+            wparams.suppress_nst     = params.suppress_nst;
+
             whisper_print_user_data user_data = { &params, &pcmf32s, 0 };
 
             // this callback is called on each new segment
@@ -929,7 +964,7 @@ int main(int argc, char ** argv) {
 
                 // TODO compression_ratio and no_speech_prob are not implemented yet
                 // segment["compression_ratio"] = 0;
-                // segment["no_speech_prob"] = 0;
+                segment["no_speech_prob"] = whisper_full_get_segment_no_speech_prob(ctx, i);
 
                 jres["segments"].push_back(segment);
             }

examples/stream/CMakeLists.txt

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

examples/stream/README.md

@@ -1,11 +1,11 @@
-# stream
+# whisper.cpp/examples/stream
 
 This is a naive example of performing real-time inference on audio from your microphone.
-The `stream` tool samples the audio every half a second and runs the transcription continously.
+The `whisper-stream` tool samples the audio every half a second and runs the transcription continously.
 More info is available in [issue #10](https://github.com/ggerganov/whisper.cpp/issues/10).
 
 ```bash
-./stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000
+./build/bin/whisper-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
@@ -15,7 +15,7 @@ https://user-images.githubusercontent.com/1991296/194935793-76afede7-cfa8-48d8-a
 Setting the `--step` argument to `0` enables the sliding window mode:
 
 ```bash
- ./stream -m ./models/ggml-small.en.bin -t 6 --step 0 --length 30000 -vth 0.6
+ ./build/bin/whisper-stream -m ./models/ggml-base.en.bin -t 6 --step 0 --length 30000 -vth 0.6
 ```
 
 In this mode, the tool will transcribe only after some speech activity is detected. A very
@@ -27,7 +27,7 @@ a transcription block that is suitable for parsing.
 
 ## Building
 
-The `stream` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
+The `whisper-stream` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
 
 ```bash
 # Install SDL2
@@ -40,21 +40,10 @@ sudo dnf install SDL2 SDL2-devel
 # Install SDL2 on Mac OS
 brew install sdl2
 
-make stream
-```
+cmake -B build -DWHISPER_SDL2=ON
+cmake --build build --config Release
 
-Ensure you are at the root of the repo when running `make stream`. Not within the `examples/stream` dir
-as the libraries needed like `common-sdl.h` are located within `examples`. Attempting to compile within
-`examples/steam` means your compiler cannot find them and it gives an error it cannot find the file.
-
-```bash
-whisper.cpp/examples/stream$ make stream
-g++     stream.cpp   -o stream
-stream.cpp:6:10: fatal error: common/sdl.h: No such file or directory
-    6 | #include "common/sdl.h"
-      |          ^~~~~~~~~~~~~~
-compilation terminated.
-make: *** [<builtin>: stream] Error 1
+./build/bin/whisper-stream
 ```
 
 ## Web version

examples/stream/stream.cpp

@@ -12,7 +12,12 @@
 #include <thread>
 #include <vector>
 #include <fstream>
+#include <chrono>
 
+#if defined(_WIN32)
+#define NOMINMAX
+#include <windows.h>
+#endif
 
 // command-line parameters
 struct whisper_params {
@@ -113,6 +118,10 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
 }
 
 int main(int argc, char ** argv) {
+#if defined(_WIN32)
+    SetConsoleOutputCP(CP_UTF8);
+#endif
+
     whisper_params params;
 
     if (whisper_params_parse(argc, argv, params) == false) {
@@ -157,6 +166,7 @@ int main(int argc, char ** argv) {
     cparams.use_gpu    = params.use_gpu;
     cparams.flash_attn = params.flash_attn;
 
+    fprintf(stderr, "whisper_init_from_file_with_params ...\n");
     struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
 
     std::vector<float> pcmf32    (n_samples_30s, 0.0f);
@@ -166,6 +176,8 @@ int main(int argc, char ** argv) {
     std::vector<whisper_token> prompt_tokens;
 
     // print some info about the processing
+    fprintf(stderr, "whisper_init_from_file_with_params ok\n");
+
     {
         fprintf(stderr, "\n");
         if (!whisper_is_multilingual(ctx)) {

examples/sycl/CMakeLists.txt

@@ -5,5 +5,5 @@
 set(TARGET ls-sycl-device)
 add_executable(${TARGET} ls-sycl-device.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+target_link_libraries(${TARGET} PRIVATE common whisper ${CMAKE_THREAD_LIBS_INIT})
+target_compile_features(${TARGET} PRIVATE cxx_std_17)

examples/sycl/build.sh

@@ -7,13 +7,16 @@ cd build
 source /opt/intel/oneapi/setvars.sh
 
 #for FP16
-#cmake .. -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DWHISPER_SYCL_F16=ON # faster for long-prompt inference
+#cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DWHISPER_SYCL_F16=ON # faster for long-prompt inference
 
 #for FP32
-cmake .. -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
+cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
+
+#for other features from the examples, e.g. stream and talk link with SDL2:
+#cmake .. -DGGML_SYCL=ON -DWHISPER_SDL2=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
 
 #build example/main only
 #cmake --build . --config Release --target main
 
 #build all binary
-cmake --build . --config Release -v
+cmake --build . --config Release -v

examples/talk-llama/CMakeLists.txt

@@ -1,11 +1,26 @@
 if (WHISPER_SDL2)
-    # talk-llama
-    set(TARGET talk-llama)
+    set(CMAKE_CXX_STANDARD 17)
+    set(CMAKE_CXX_STANDARD_REQUIRED ON)
+
+    set(TARGET whisper-talk-llama)
     add_executable(${TARGET} talk-llama.cpp
         llama.cpp
-        llama-vocab.cpp
+        llama-adapter.cpp
+        llama-arch.cpp
+        llama-batch.cpp
+        llama-chat.cpp
+        llama-context.cpp
+        llama-cparams.cpp
         llama-grammar.cpp
+        llama-hparams.cpp
+        llama-impl.cpp
+        llama-kv-cache.cpp
+        llama-mmap.cpp
+        llama-model-loader.cpp
+        llama-model.cpp
+        llama-quant.cpp
         llama-sampling.cpp
+        llama-vocab.cpp
         unicode.cpp
         unicode-data.cpp)
     target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS})

examples/talk-llama/README.md

@@ -1,4 +1,4 @@
-# talk-llama
+# whisper.cpp/examples/talk-llama
 
 Talk with an LLaMA AI in your terminal
 
@@ -12,7 +12,7 @@ https://github.com/ggerganov/whisper.cpp/assets/1991296/d97a3788-bf2a-4756-9a43-
 
 ## Building
 
-The `talk-llama` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
+The `whisper-talk-llama` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
 
 ```bash
 # Install SDL2
@@ -25,11 +25,12 @@ sudo dnf install SDL2 SDL2-devel
 # Install SDL2 on Mac OS
 brew install sdl2
 
-# Build the "talk-llama" executable
-make talk-llama
+# Build the "whisper-talk-llama" executable
+cmake -B build -S . -DWHISPER_SDL2=ON
+cmake --build build --config Release
 
 # Run it
-./talk-llama -mw ./models/ggml-small.en.bin -ml ../llama.cpp/models/llama-13b/ggml-model-q4_0.gguf -p "Georgi" -t 8
+./build/bin/whisper-talk-llama -mw ./models/ggml-small.en.bin -ml ../llama.cpp/models/llama-13b/ggml-model-q4_0.gguf -p "Georgi" -t 8
 ```
 
 - The `-mw` argument specifies the Whisper model that you would like to use. Recommended `base` or `small` for real-time experience
@@ -37,16 +38,16 @@ make talk-llama
 
 ## Session
 
-The `talk-llama` tool supports session management to enable more coherent and continuous conversations. By maintaining context from previous interactions, it can better understand and respond to user requests in a more natural way.
+The `whisper-talk-llama` tool supports session management to enable more coherent and continuous conversations. By maintaining context from previous interactions, it can better understand and respond to user requests in a more natural way.
 
-To enable session support, use the `--session FILE` command line option when running the program. The `talk-llama` model state will be saved to the specified file after each interaction. If the file does not exist, it will be created. If the file exists, the model state will be loaded from it, allowing you to resume a previous session.
+To enable session support, use the `--session FILE` command line option when running the program. The `whisper-talk-llama` model state will be saved to the specified file after each interaction. If the file does not exist, it will be created. If the file exists, the model state will be loaded from it, allowing you to resume a previous session.
 
 This feature is especially helpful for maintaining context in long conversations or when interacting with the AI assistant across multiple sessions. It ensures that the assistant remembers the previous interactions and can provide more relevant and contextual responses.
 
 Example usage:
 
 ```bash
-./talk-llama --session ./my-session-file -mw ./models/ggml-small.en.bin -ml ../llama.cpp/models/llama-13b/ggml-model-q4_0.gguf -p "Georgi" -t 8
+./build/bin/whisper-talk-llama --session ./my-session-file -mw ./models/ggml-small.en.bin -ml ../llama.cpp/models/llama-13b/ggml-model-q4_0.gguf -p "Georgi" -t 8
 ```
 
 ## TTS

examples/talk-llama/llama-adapter.cpp

@@ -0,0 +1,347 @@
+#include "llama-adapter.h"
+
+#include "llama-impl.h"
+#include "llama-mmap.h"
+#include "llama-model.h"
+
+#include <algorithm>
+#include <map>
+#include <cassert>
+#include <stdexcept>
+
+// vec
+
+struct ggml_tensor * llama_adapter_cvec::tensor_for(int il) const {
+    if (il < 0 || il < layer_start || il > layer_end || (size_t) il >= tensors.size()) {
+        return nullptr;
+    }
+
+    return tensors[il];
+}
+
+struct ggml_tensor * llama_adapter_cvec::apply_to(struct ggml_context * ctx, struct ggml_tensor * cur, int  il) const {
+    ggml_tensor * layer_dir = tensor_for(il);
+    if (layer_dir != nullptr) {
+        cur = ggml_add(ctx, cur, layer_dir);
+    }
+
+    return cur;
+}
+
+bool llama_adapter_cvec::init(const llama_model & model) {
+    const auto & hparams = model.hparams;
+
+    GGML_ASSERT(tensors.empty());
+    GGML_ASSERT(ctxs.empty());
+    GGML_ASSERT(bufs.empty());
+
+    // create a context for each buffer type
+    std::map<ggml_backend_buffer_type_t, ggml_context *> ctx_map;
+    auto ctx_for_buft = [&](ggml_backend_buffer_type_t buft) -> ggml_context * {
+        auto it = ctx_map.find(buft);
+        if (it == ctx_map.end()) {
+            struct ggml_init_params params = {
+                /*.mem_size   =*/ hparams.n_layer*ggml_tensor_overhead(),
+                /*.mem_buffer =*/ NULL,
+                /*.no_alloc   =*/ true,
+            };
+
+            ggml_context * ctx = ggml_init(params);
+            if (!ctx) {
+                return nullptr;
+            }
+
+            ctx_map[buft] = ctx;
+            ctxs.emplace_back(ctx);
+
+            return ctx;
+        }
+
+        return it->second;
+    };
+
+    // make tensors
+    tensors.reserve(hparams.n_layer);
+    tensors.push_back(nullptr); // there's never a tensor for layer 0
+    for (size_t il = 1; il < hparams.n_layer; il++) {
+        ggml_backend_buffer_type_t buft = model.select_buft(il);
+        ggml_context * ctx = ctx_for_buft(buft);
+        if (!ctx) {
+            LLAMA_LOG_ERROR("%s: failed to allocate context for control vector\n", __func__);
+            return false;
+        }
+        ggml_tensor * tensor = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hparams.n_embd);
+        tensors.push_back(tensor);
+    }
+
+    // allocate tensors / buffers and zero
+    bufs.reserve(ctx_map.size());
+    for (auto it : ctx_map) {
+        ggml_backend_buffer_type_t buft = it.first;
+        ggml_context * ctx = it.second;
+        ggml_backend_buffer_t buf = ggml_backend_alloc_ctx_tensors_from_buft(ctx, buft);
+        if (!buf) {
+            LLAMA_LOG_ERROR("%s: failed to allocate buffer for control vector\n", __func__);
+            return false;
+        }
+        ggml_backend_buffer_clear(buf, 0);
+        bufs.emplace_back(buf);
+    }
+
+    return true;
+}
+
+int32_t llama_adapter_cvec::apply(
+        const llama_model & model,
+        const float * data,
+        size_t len,
+        int32_t n_embd,
+        int32_t il_start,
+        int32_t il_end) {
+    const auto & hparams = model.hparams;
+
+    if (data == nullptr) {
+        // disable the current control vector (but leave allocated for later)
+        layer_start = -1;
+        layer_end   = -1;
+        return 0;
+    }
+
+    if (n_embd != (int) hparams.n_embd) {
+        LLAMA_LOG_ERROR("%s: control vector n_embd does not match model\n", __func__);
+        return 1;
+    }
+
+    if (tensors.empty()) {
+        if (!init(model)) {
+            return 1;
+        }
+    }
+
+    layer_start = il_start;
+    layer_end   = il_end;
+
+    for (size_t il = 1; il < hparams.n_layer; il++) {
+        assert(tensors[il] != nullptr);
+
+        const size_t off = n_embd * (il - 1); // buffer doesn't have data for layer 0, since it's never present
+        if (off + n_embd <= len) {
+            ggml_backend_tensor_set(tensors[il], data + off, 0, n_embd * ggml_element_size(tensors[il]));
+        }
+    }
+
+    return 0;
+}
+
+// lora
+
+llama_adapter_lora_weight * llama_adapter_lora::get_weight(struct ggml_tensor * w) {
+    const std::string name(w->name);
+
+    const auto pos = ab_map.find(name);
+    if (pos != ab_map.end()) {
+        return &pos->second;
+    }
+
+    return nullptr;
+}
+
+static void llama_adapter_lora_init_impl(struct llama_model & model, const char * path_lora, struct llama_adapter_lora & adapter) {
+    LLAMA_LOG_INFO("%s: loading lora adapter from '%s' ...\n", __func__, path_lora);
+
+    ggml_context * ctx_init;
+    struct gguf_init_params meta_gguf_params = {
+        /* .no_alloc = */ true,
+        /* .ctx      = */ &ctx_init,
+    };
+
+    gguf_context_ptr ctx_gguf { gguf_init_from_file(path_lora, meta_gguf_params) };
+    if (!ctx_gguf) {
+        throw std::runtime_error("failed to load lora adapter file from " + std::string(path_lora));
+    }
+
+    ggml_context_ptr ctx { ctx_init };
+
+    // check metadata
+    {
+        auto get_kv_str = [&](const std::string & key) -> std::string {
+            int id = gguf_find_key(ctx_gguf.get(), key.c_str());
+            return id < 0 ? "" : std::string(gguf_get_val_str(ctx_gguf.get(), id));
+        };
+        auto get_kv_f32 = [&](const std::string & key) -> float {
+            int id = gguf_find_key(ctx_gguf.get(), key.c_str());
+            return id < 0 ? 0.0f : gguf_get_val_f32(ctx_gguf.get(), id);
+        };
+        LLM_KV llm_kv = LLM_KV(LLM_ARCH_UNKNOWN);
+
+        auto general_type = get_kv_str(llm_kv(LLM_KV_GENERAL_TYPE));
+        if (general_type != "adapter") {
+            throw std::runtime_error("expect general.type to be 'adapter', but got: " + general_type);
+        }
+
+        auto general_arch_str = get_kv_str(llm_kv(LLM_KV_GENERAL_ARCHITECTURE));
+        auto general_arch = llm_arch_from_string(general_arch_str);
+        if (general_arch != model.arch) {
+            throw std::runtime_error("model arch and LoRA arch mismatch");
+        }
+
+        auto adapter_type = get_kv_str(llm_kv(LLM_KV_ADAPTER_TYPE));
+        if (adapter_type != "lora") {
+            throw std::runtime_error("expect adapter.type to be 'lora', but got: " + adapter_type);
+        }
+
+        adapter.alpha = get_kv_f32(llm_kv(LLM_KV_ADAPTER_LORA_ALPHA));
+    }
+
+    int n_tensors = gguf_get_n_tensors(ctx_gguf.get());
+
+    // contexts for each buffer type
+    std::map<ggml_backend_buffer_type_t, ggml_context *> ctx_map;
+    auto ctx_for_buft = [&](ggml_backend_buffer_type_t buft) -> ggml_context * {
+        auto it = ctx_map.find(buft);
+        if (it == ctx_map.end()) {
+            // add a new context
+            struct ggml_init_params params = {
+                /*.mem_size   =*/ n_tensors*ggml_tensor_overhead(),
+                /*.mem_buffer =*/ NULL,
+                /*.no_alloc   =*/ true,
+            };
+            ggml_context * buft_ctx = ggml_init(params);
+            if (!buft_ctx) {
+                return nullptr;
+            }
+            ctx_map[buft] = buft_ctx;
+            adapter.ctxs.emplace_back(buft_ctx);
+            return buft_ctx;
+        };
+        return it->second;
+    };
+
+    // bundle lora_a and lora_b into pairs
+    std::map<std::string, llama_adapter_lora_weight> ab_map;
+    auto str_endswith = [](const std::string & str, const std::string & suffix) {
+        return str.size() >= suffix.size() && str.compare(str.size()-suffix.size(), suffix.size(), suffix) == 0;
+    };
+
+    for (ggml_tensor * cur = ggml_get_first_tensor(ctx.get()); cur; cur = ggml_get_next_tensor(ctx.get(), cur)) {
+        std::string name(cur->name);
+        if (str_endswith(name, ".lora_a")) {
+            replace_all(name, ".lora_a", "");
+            if (ab_map.find(name) == ab_map.end()) {
+                ab_map[name] = llama_adapter_lora_weight(cur, nullptr);
+            } else {
+                ab_map[name].a = cur;
+            }
+        } else if (str_endswith(name, ".lora_b")) {
+            replace_all(name, ".lora_b", "");
+            if (ab_map.find(name) == ab_map.end()) {
+                ab_map[name] = llama_adapter_lora_weight(nullptr, cur);
+            } else {
+                ab_map[name].b = cur;
+            }
+        } else if (str_endswith(name, "_norm.weight")) {
+            // TODO: add support for norm vector
+            // for now, we don't really care because most adapters still work fine without it
+            continue;
+        } else {
+            throw std::runtime_error("LoRA tensor '" + name + "' has unexpected suffix");
+        }
+    }
+
+    // add tensors
+    for (auto & it : ab_map) {
+        const std::string & name = it.first;
+        llama_adapter_lora_weight & w = it.second;
+        bool is_token_embd = str_endswith(name, "token_embd.weight");
+
+        if (!w.a || !w.b) {
+            throw std::runtime_error("LoRA tensor pair for '" + name + "' is missing one component");
+        }
+
+        // device buft and device ctx
+        const auto * model_tensor = model.get_tensor(name.c_str());
+        if (!model_tensor) {
+            throw std::runtime_error("LoRA tensor '" + name + "' does not exist in base model (hint: maybe wrong base model?)");
+        }
+
+        struct ggml_context * dev_ctx = ctx_for_buft(ggml_backend_buffer_get_type(model_tensor->buffer));
+        // validate tensor shape
+        if (is_token_embd) {
+            // expect B to be non-transposed, A and B are flipped; see llm_build_inp_embd()
+            if (model_tensor->ne[0] != w.b->ne[1] || model_tensor->ne[1] != w.a->ne[1]) {
+                throw std::runtime_error("tensor '" + name + "' has incorrect shape (hint: maybe wrong base model?)");
+            }
+        } else {
+            if (model_tensor->ne[0] != w.a->ne[0] || model_tensor->ne[1] != w.b->ne[1]) {
+                throw std::runtime_error("tensor '" + name + "' has incorrect shape (hint: maybe wrong base model?)");
+            }
+            if (w.a->ne[1] != w.b->ne[0]) {
+                throw std::runtime_error("lora_a tensor is not transposed (hint: adapter from \"finetune\" example is no longer supported)");
+            }
+        }
+
+        // save tensor to adapter
+        struct ggml_tensor * tensor_a = ggml_dup_tensor(dev_ctx, w.a);
+        struct ggml_tensor * tensor_b = ggml_dup_tensor(dev_ctx, w.b);
+        ggml_set_name(tensor_a, w.a->name);
+        ggml_set_name(tensor_b, w.b->name);
+        adapter.ab_map[name] = llama_adapter_lora_weight(tensor_a, tensor_b);
+    }
+
+    // allocate tensors / buffers and zero
+    {
+        adapter.ctxs.reserve(ctx_map.size());
+        adapter.bufs.reserve(ctx_map.size());
+        for (auto & it : ctx_map) {
+            ggml_backend_buffer_type_t buft = it.first;
+            ggml_context * ctx_dev = it.second;
+            ggml_backend_buffer_ptr buf { ggml_backend_alloc_ctx_tensors_from_buft(ctx_dev, buft) };
+            if (!buf) {
+                throw std::runtime_error("failed to allocate buffer for lora adapter\n");
+            }
+            LLAMA_LOG_INFO("%s: %10s LoRA buffer size = %8.2f MiB\n", __func__, ggml_backend_buffer_name(buf.get()), ggml_backend_buffer_get_size(buf.get())/1024.0/1024.0);
+            adapter.bufs.emplace_back(std::move(buf));
+        }
+    }
+
+    // set tensor data
+    {
+        llama_file gguf_file(path_lora, "rb");
+        std::vector<uint8_t> read_buf;
+        auto set_tensor = [&](struct ggml_tensor * orig, struct ggml_tensor * dev) {
+            size_t offs = gguf_get_data_offset(ctx_gguf.get()) + gguf_get_tensor_offset(ctx_gguf.get(), gguf_find_tensor(ctx_gguf.get(), orig->name));
+            size_t size = ggml_nbytes(orig);
+            read_buf.resize(size);
+            gguf_file.seek(offs, SEEK_SET);
+            gguf_file.read_raw(read_buf.data(), size);
+            ggml_backend_tensor_set(dev, read_buf.data(), 0, size);
+        };
+        for (auto & it : adapter.ab_map) {
+            auto orig = ab_map[it.first];
+            auto dev  = it.second;
+            set_tensor(orig.a, dev.a);
+            set_tensor(orig.b, dev.b);
+        }
+    }
+
+    LLAMA_LOG_INFO("%s: loaded %zu tensors from lora file\n", __func__, adapter.ab_map.size()*2);
+}
+
+struct llama_adapter_lora * llama_adapter_lora_init(struct llama_model * model, const char * path_lora) {
+    struct llama_adapter_lora * adapter = new llama_adapter_lora();
+
+    try {
+        llama_adapter_lora_init_impl(*model, path_lora, *adapter);
+        return adapter;
+    } catch (const std::exception & err) {
+        LLAMA_LOG_ERROR("%s: failed to apply lora adapter: %s\n", __func__, err.what());
+
+        delete adapter;
+    }
+
+    return nullptr;
+}
+
+void llama_adapter_lora_free(struct llama_adapter_lora * adapter) {
+    delete adapter;
+}