ggml : disable CUDA graphs for non-llama.cpp projects

.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 wget
+    apt-get install -y build-essential git cmake
 
 WORKDIR /app
 
@@ -23,6 +23,6 @@ ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
 # Enable cuBLAS
 ENV GGML_CUDA=1
 
-RUN make base.en
+RUN make
 
 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 wget cmake \
+    apt-get install -y build-essential \
     && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
 
 # Ref: https://stackoverflow.com/a/53464012
@@ -25,7 +25,7 @@ ENV CUDA_MAIN_VERSION=12.3
 ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
 
 COPY .. .
-RUN make base.en
+RUN make
 
 FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime
 ENV CUDA_MAIN_VERSION=12.3
@@ -33,7 +33,7 @@ ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
 WORKDIR /app
 
 RUN apt-get update && \
-  apt-get install -y curl ffmpeg wget cmake \
+  apt-get install -y curl ffmpeg \
   && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
 
 COPY --from=build /app /app

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

.github/workflows/bindings-go.yml

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

.github/workflows/bindings-ruby.yml

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

.github/workflows/build.yml

@@ -3,7 +3,6 @@ on: [push, pull_request]
 
 env:
   ubuntu_image: "ubuntu:22.04"
-  VCPKG_BINARY_SOURCES: "clear;x-gha,readwrite"
 
 jobs:
   ubuntu-latest:
@@ -28,9 +27,9 @@ jobs:
             -w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
             set -e
             apt update
-            apt install -y build-essential libsdl2-dev cmake
-            cmake -B build
-            cmake --build build --config Release -j $(nproc)'
+            apt install -y build-essential libsdl2-dev
+            make
+            make stream'
 
   macOS-latest:
     runs-on: macOS-latest
@@ -42,30 +41,30 @@ jobs:
       - name: Dependencies
         run: |
           brew update
-          brew install sdl2 cmake
+          brew install sdl2
 
       - name: Build
         run: |
-          cmake -B build
-          cmake --build build --config Release
+          make
+          make stream
 
-#  freeBSD-latest:
-#    runs-on: macos-12
-#
-#    steps:
-#      - name: Clone
-#        uses: actions/checkout@v4
-#
-#      - name: Build
-#        uses: cross-platform-actions/action@v0.24.0
-#        with:
-#          operating_system: freebsd
-#          version: '13.3'
-#          run: |
-#            sudo pkg update
-#            sudo pkg install -y gmake sdl2 cmake
-#            cmake -B build
-#            cmake --build build --config Release
+  freeBSD-latest:
+    runs-on: macos-12
+
+    steps:
+      - name: Clone
+        uses: actions/checkout@v4
+
+      - name: Build
+        uses: cross-platform-actions/action@v0.24.0
+        with:
+          operating_system: freebsd
+          version: '13.2'
+          run: |
+            sudo pkg update
+            sudo pkg install -y gmake sdl2
+            gmake
+            gmake stream
 
   ubuntu-latest-gcc:
     runs-on: ubuntu-latest
@@ -280,6 +279,21 @@ jobs:
             mingw-w64-${{matrix.env}}-SDL2
             mingw-w64-${{matrix.env}}-openblas
 
+      - name: Build using make
+        shell: msys2 {0}
+        run: |
+            make -j $(nproc)
+
+      - name: Clean after building using make
+        shell: msys2 {0}
+        run: |
+            make clean
+
+      - name: Build using make w/ OpenBLAS
+        shell: msys2 {0}
+        run: |
+            make GGML_OPENBLAS=1 -j $(nproc)
+
       - name: Build using CMake
         shell: msys2 {0}
         run: |
@@ -294,7 +308,7 @@ jobs:
       - name: Build using CMake w/ OpenBLAS
         shell: msys2 {0}
         run: |
-            cmake -B build -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
+            cmake -B build -DGGML_OPENBLAS=ON
             cmake --build build --config ${{ matrix.build }} -j $(nproc)
 
   windows:
@@ -368,8 +382,10 @@ 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
@@ -378,21 +394,17 @@ jobs:
       - name: Clone
         uses: actions/checkout@v4
 
-      - name: Export GitHub Actions cache environment variables
-        uses: actions/github-script@v7
-        with:
-          script: |
-            core.exportVariable('ACTIONS_CACHE_URL', process.env.ACTIONS_CACHE_URL || '');
-            core.exportVariable('ACTIONS_RUNTIME_TOKEN', process.env.ACTIONS_RUNTIME_TOKEN || '');
-
       - name: Add msbuild to PATH
         uses: microsoft/setup-msbuild@v2
 
-      - name: Install OpenBLAS and pkgconfiglite
+      - name: Fetch OpenBLAS
         if: matrix.blas == 'ON'
         run: |
-          vcpkg install --triplet=${{ matrix.s2arc }}-windows openblas
-          choco install pkgconfiglite
+          C:/msys64/usr/bin/wget.exe -qO blas.zip ${{ matrix.obzip }}
+          7z x blas.zip -oblas -y
+          copy blas/include/cblas.h .
+          copy blas/include/openblas_config.h .
+          echo "OPENBLAS_PATH=$env:GITHUB_WORKSPACE/blas" >> $env:GITHUB_ENV
 
       - name: Fetch SDL2 and set SDL2_DIR
         if: matrix.sdl2 == 'ON'
@@ -404,10 +416,9 @@ 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=${{ matrix.build }}
-          -DGGML_BLAS=${{ matrix.blas }}
-          -DGGML_BLAS_VENDOR=OpenBLAS
+          -DGGML_OPENBLAS=${{ matrix.blas }}
+          -DCMAKE_LIBRARY_PATH="$env:OPENBLAS_PATH/lib"
           -DWHISPER_SDL2=${{ matrix.sdl2 }}
 
       - name: Build
@@ -415,9 +426,9 @@ jobs:
           cd ./build
           msbuild ALL_BUILD.vcxproj -t:build -p:configuration=${{ matrix.build }} -p:platform=${{ matrix.arch }}
 
-      - name: Copy openblas.dll
+      - name: Copy libopenblas.dll
         if: matrix.blas == 'ON'
-        run: copy "C:/vcpkg/packages/openblas_${{ matrix.s2arc }}-windows/bin/openblas.dll" build/bin/${{ matrix.build }}
+        run: copy "$env:OPENBLAS_PATH/bin/libopenblas.dll" build/bin/${{ matrix.build }}
 
       - name: Copy SDL2.dll
         if: matrix.sdl2 == 'ON'
@@ -430,72 +441,71 @@ jobs:
           name: whisper-blas-bin-${{ matrix.arch }}
           path: build/bin/${{ matrix.build }}
 
-# TODO: fix and re-enable
-#  windows-cublas:
-#    runs-on: windows-2019
-#
-#    strategy:
-#      matrix:
-#        build: [Release]
-#        arch: [x64]
-#        cublas: [ON]
-#        sdl2: [ON]
-#        cuda-toolkit: [12.2.0, 11.8.0]
-#        include:
-#          - arch: x64
-#            s2arc: x64
-#          - sdl2: ON
-#            s2ver: 2.28.5
-#
-#    steps:
-#      - name: Clone
-#        uses: actions/checkout@v4
-#
-#      - name: Add msbuild to PATH
-#        uses: microsoft/setup-msbuild@v2
-#
-#      - name: Install CUDA Toolkit
-#        id: cuda-toolkit
-#        uses: Jimver/cuda-toolkit@v0.2.15
-#        with:
-#          cuda: '${{ matrix.cuda-toolkit }}'
-#
-#      - name: Fetch SDL2 and set SDL2_DIR
-#        if: matrix.sdl2 == 'ON'
-#        run: |
-#          C:/msys64/usr/bin/wget.exe -qO sdl2.zip https://github.com/libsdl-org/SDL/releases/download/release-${{ matrix.s2ver }}/SDL2-devel-${{ matrix.s2ver }}-VC.zip
-#          7z x sdl2.zip
-#          echo "SDL2_DIR=$env:GITHUB_WORKSPACE/SDL2-${{ matrix.s2ver }}/cmake" >> $env:GITHUB_ENV
-#
-#      - name: Configure
-#        run: >
-#          cmake -S . -B ./build -A ${{ matrix.arch }}
-#          -DCMAKE_BUILD_TYPE=${{ matrix.build }}
-#          -DGGML_CUDA=${{ matrix.cublas }}
-#          -DWHISPER_SDL2=${{ matrix.sdl2 }}
-#
-#      - name: Build ${{ matrix.cuda-toolkit }}
-#        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/${{ matrix.build }}
-#
-#      - name: Copy SDL2.dll
-#        if: matrix.sdl2 == 'ON'
-#        run: copy "$env:SDL2_DIR/../lib/${{ matrix.s2arc }}/SDL2.dll" build/bin/${{ matrix.build }}
-#
-#      - name: Upload binaries
-#        if: matrix.sdl2 == 'ON'
-#        uses: actions/upload-artifact@v4
-#        with:
-#          name: whisper-cublas-${{ matrix.cuda-toolkit }}-bin-${{ matrix.arch }}
-#          path: build/bin/${{ matrix.build }}
+  windows-cublas:
+    runs-on: windows-2019
+
+    strategy:
+      matrix:
+        build: [Release]
+        arch: [x64]
+        cublas: [ON]
+        sdl2: [ON]
+        cuda-toolkit: [12.2.0, 11.8.0]
+        include:
+          - arch: x64
+            s2arc: x64
+          - sdl2: ON
+            s2ver: 2.28.5
+
+    steps:
+      - name: Clone
+        uses: actions/checkout@v4
+
+      - name: Add msbuild to PATH
+        uses: microsoft/setup-msbuild@v2
+
+      - name: Install CUDA Toolkit
+        id: cuda-toolkit
+        uses: Jimver/cuda-toolkit@v0.2.15
+        with:
+          cuda: '${{ matrix.cuda-toolkit }}'
+
+      - 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
+          7z x sdl2.zip
+          echo "SDL2_DIR=$env:GITHUB_WORKSPACE/SDL2-${{ matrix.s2ver }}/cmake" >> $env:GITHUB_ENV
+
+      - name: Configure
+        run: >
+          cmake -S . -B ./build -A ${{ matrix.arch }}
+          -DCMAKE_BUILD_TYPE=${{ matrix.build }}
+          -DGGML_CUDA=${{ matrix.cublas }}
+          -DWHISPER_SDL2=${{ matrix.sdl2 }}
+
+      - name: Build ${{ matrix.cuda-toolkit }}
+        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/${{ matrix.build }}
+
+      - name: Copy SDL2.dll
+        if: matrix.sdl2 == 'ON'
+        run: copy "$env:SDL2_DIR/../lib/${{ matrix.s2arc }}/SDL2.dll" build/bin/${{ matrix.build }}
+
+      - name: Upload binaries
+        if: matrix.sdl2 == 'ON'
+        uses: actions/upload-artifact@v4
+        with:
+          name: whisper-cublas-${{ matrix.cuda-toolkit }}-bin-${{ matrix.arch }}
+          path: build/bin/${{ matrix.build }}
 
   emscripten:
     runs-on: ubuntu-latest
@@ -519,7 +529,7 @@ jobs:
           emcmake cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }}
           make
 
-  ios-xcode-build:
+  ios:
     runs-on: macos-latest
 
     strategy:
@@ -527,7 +537,7 @@ jobs:
         build: [Release]
 
     steps:
-      - name: Checkout code
+      - name: Clone
         uses: actions/checkout@v4
 
       - name: Configure
@@ -535,134 +545,114 @@ jobs:
           cp models/for-tests-ggml-base.en.bin models/ggml-base.en.bin
           mkdir models/ggml-base.en-encoder.mlmodelc
 
-      - name: Build
-        id: cmake_build
-        run: |
-          sysctl -a
-          mkdir build
-          cd build
-          cmake -G Xcode .. \
-            -DGGML_METAL_USE_BF16=ON \
-            -DGGML_METAL_EMBED_LIBRARY=ON \
-            -DWHISPER_BUILD_EXAMPLES=OFF \
-            -DWHISPER_BUILD_TESTS=OFF \
-            -DWHISPER_BUILD_SERVER=OFF \
-            -DCMAKE_SYSTEM_NAME=iOS \
-            -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \
-            -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
-          cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO
-          sudo cmake --install . --config Release
-
-      - name: xcodebuild for swift package
-        id: xcodebuild
-        run: |
-          xcodebuild -scheme whisper-Package -destination 'generic/platform=iOS'
-
-#- name: Build objc example
-#  run: xcodebuild -project examples/whisper.objc/whisper.objc.xcodeproj -scheme whisper.objc -configuration ${{ matrix.build }} -sdk iphoneos build
+      - name: Build objc example
+        run: xcodebuild -project examples/whisper.objc/whisper.objc.xcodeproj -scheme whisper.objc -configuration ${{ matrix.build }} -sdk iphonesimulator build
 
       - name: Build swiftui example
-        run: xcodebuild -project examples/whisper.swiftui/whisper.swiftui.xcodeproj -scheme WhisperCppDemo -configuration ${{ matrix.build }} -sdk iphoneos CODE_SIGNING_REQUIRED=NO CODE_SIGN_IDENTITY= -destination 'generic/platform=iOS' build
+        run: xcodebuild -project examples/whisper.swiftui/whisper.swiftui.xcodeproj -scheme WhisperCppDemo -configuration ${{ matrix.build }} -sdk iphonesimulator build
 
-# TODO: update android build and re-enable when it works
-#  android:
-#    runs-on: ubuntu-latest
-#
-#    steps:
-#      - name: Clone
-#        uses: actions/checkout@v4
-#        with:
-#          path: whisper
-#
-#      - name: Install Java
-#        uses: actions/setup-java@v4
-#        with:
-#          distribution: zulu
-#          java-version: 21
-#
-#      - name: Setup Android SDK
-#        uses: android-actions/setup-android@v3
-#
-#      - name: Build
-#        run: |
-#          cd whisper/examples/whisper.android
-#          ./gradlew assembleRelease --no-daemon
-#
-#      - name: Build with external ggml
-#        run: |
-#          export PATH_TO_GGML=$PWD/ggml
-#          cd whisper/examples/whisper.android
-#          ./gradlew assembleRelease --no-daemon
+  android:
+    runs-on: ubuntu-latest
 
-# TODO: disable because of following fail: https://github.com/ggerganov/whisper.cpp/actions/runs/11019444420/job/30627193602
-#  android_java:
-#    runs-on: ubuntu-latest
-#
-#    steps:
-#      - name: Clone
-#        uses: actions/checkout@v4
-#
-#      - name: set up JDK 11
-#        uses: actions/setup-java@v4
-#        with:
-#          java-version: '11'
-#          distribution: 'temurin'
-#          cache: gradle
-#
-#      - name: Setup Android SDK
-#        uses: android-actions/setup-android@v3
-#        with:
-#          cmdline-tools-version: 9.0
-#
-#      - name: Build
-#        run: |
-#          cd examples/whisper.android.java
-#          chmod +x ./gradlew
-#          ./gradlew assembleRelease
+    steps:
+      - name: Clone
+        uses: actions/checkout@v4
+        with:
+          path: whisper
 
-# TODO: disabled because of following fail: https://github.com/ggerganov/whisper.cpp/actions/runs/9686220096/job/26735899598
-#  java:
-#    needs: [ 'windows' ]
-#    runs-on: windows-latest
-#    steps:
-#      - uses: actions/checkout@v4
-#
-#      - name: Install Java
-#        uses: actions/setup-java@v4
-#        with:
-#          distribution: zulu
-#          java-version: 20
-#
-#      - name: Download Windows lib
-#        uses: actions/download-artifact@v4
-#        with:
-#          name: win32-x86-64_whisper.dll
-#          path: bindings/java/build/generated/resources/main/win32-x86-64
-#
-#      - name: Build
-#        run: |
-#          models\download-ggml-model.cmd tiny.en
-#          cd bindings/java
-#          chmod +x ./gradlew
-#          ./gradlew build
-#
-#      - name: Upload jar
-#        uses: actions/upload-artifact@v4
-#        with:
-#          name: whispercpp.jar
-#          path: bindings/java/build/libs/whispercpp-*.jar
-#
-#      - name: Publish package
-#        if: ${{ github.ref == 'refs/heads/master' }}
-#        uses: gradle/gradle-build-action@v2.4.2
-#        with:
-#          arguments: publish
-#          build-root-directory: bindings/java
-#        env:
-#          MAVEN_USERNAME: ${{ secrets.JIRA_USER }}
-#          MAVEN_PASSWORD: ${{ secrets.JIRA_PASS }}
-#          PGP_SECRET: ${{ secrets.GPG_PRIVATE_KEY }}
-#          PGP_PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }}
+      - name: Clone
+        uses: actions/checkout@v4
+        with:
+          repository: ggerganov/ggml
+          path: ggml
+
+      - name: Install Java
+        uses: actions/setup-java@v4
+        with:
+          distribution: zulu
+          java-version: 21
+
+      - name: Setup Android SDK
+        uses: android-actions/setup-android@v3
+
+      - name: Build
+        run: |
+          cd whisper/examples/whisper.android
+          ./gradlew assembleRelease --no-daemon
+
+      - name: Build with external ggml
+        run: |
+          export PATH_TO_GGML=$PWD/ggml
+          cd whisper/examples/whisper.android
+          ./gradlew assembleRelease --no-daemon -PGGML_HOME=$PATH_TO_GGML
+
+  android_java:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Clone
+        uses: actions/checkout@v4
+
+      - name: set up JDK 11
+        uses: actions/setup-java@v4
+        with:
+          java-version: '11'
+          distribution: 'temurin'
+          cache: gradle
+
+      - name: Setup Android SDK
+        uses: android-actions/setup-android@v3
+        with:
+          cmdline-tools-version: 9.0
+
+      - name: Build
+        run: |
+          cd examples/whisper.android.java
+          chmod +x ./gradlew
+          ./gradlew assembleRelease
+
+  java:
+    needs: [ 'windows' ]
+    runs-on: windows-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install Java
+        uses: actions/setup-java@v4
+        with:
+          distribution: zulu
+          java-version: 20
+
+      - name: Download Windows lib
+        uses: actions/download-artifact@v4
+        with:
+          name: win32-x86-64_whisper.dll
+          path: bindings/java/build/generated/resources/main/win32-x86-64
+
+      - name: Build
+        run: |
+          models\download-ggml-model.cmd tiny.en
+          cd bindings/java
+          chmod +x ./gradlew
+          ./gradlew build
+
+      - name: Upload jar
+        uses: actions/upload-artifact@v4
+        with:
+          name: whispercpp.jar
+          path: bindings/java/build/libs/whispercpp-*.jar
+
+      - name: Publish package
+        if: ${{ github.ref == 'refs/heads/master' }}
+        uses: gradle/gradle-build-action@v2.4.2
+        with:
+          arguments: publish
+          build-root-directory: bindings/java
+        env:
+          MAVEN_USERNAME: ${{ secrets.JIRA_USER }}
+          MAVEN_PASSWORD: ${{ secrets.JIRA_PASS }}
+          PGP_SECRET: ${{ secrets.GPG_PRIVATE_KEY }}
+          PGP_PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }}
 
   quantize:
     runs-on: ubuntu-latest
@@ -674,6 +664,5 @@ jobs:
       - name: Test quantize
         run: |
           ./models/download-ggml-model.sh tiny.en
-          cmake -B build
-          cmake --build build --config Release
-          ./build/bin/quantize models/ggml-tiny.en.bin models/ggml-tiny.en-q4_0.bin q4_0
+          make quantize
+          ./quantize models/ggml-tiny.en.bin models/ggml-tiny.en-q4_0.bin q4_0

.github/workflows/docker.yml

@@ -18,9 +18,7 @@ jobs:
       matrix:
         config:
           - { tag: "main", dockerfile: ".devops/main.Dockerfile", platform: "linux/amd64,linux/arm64" }
-          #TODO: the cuda image keeps failing - disable for now
-          #      https://github.com/ggerganov/whisper.cpp/actions/runs/11019444428/job/30602020339
-          #- { tag: "main-cuda", dockerfile: ".devops/main-cuda.Dockerfile", platform: "linux/amd64" }
+          - { tag: "main-cuda", dockerfile: ".devops/main-cuda.Dockerfile", platform: "linux/amd64" }
 
     steps:
       - name: Check out the repo
@@ -45,7 +43,7 @@ jobs:
         with:
           context: .
           push: true
-          platforms: ${{ matrix.config.platform }}
+          platforms: ${{ matrix.config.platforms }}
           tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}-${{ env.COMMIT_SHA }}"
           file: ${{ matrix.config.dockerfile }}
 
@@ -54,6 +52,6 @@ jobs:
         with:
           context: .
           push: ${{ github.event_name == 'push' }}
-          platforms: ${{ matrix.config.platform }}
+          platforms: ${{ matrix.config.platforms }}
           tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}"
           file: ${{ matrix.config.dockerfile }}

.gitignore

@@ -1,16 +1,13 @@
 *.o
 *.a
-*.d
 .cache/
 .coreml/
 .test/
-.venv/
 .vs/
 .vscode/
 .DS_Store
 .vimspector.json
 /CMakeSettings.json
-/talk-llama.dSYM/
 
 build/
 build-*/
@@ -20,9 +17,6 @@ build-*/
 .swiftpm
 *.metallib
 
-ggml-metal-embed.metal
-ggml-metal-embed.metal.tmp
-
 /main
 /stream
 /command

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 1.7.2)
+project("whisper.cpp" VERSION 1.6.2)
 include(CheckIncludeFileCXX)
 
 set(SOVERSION 1)
@@ -120,10 +120,7 @@ whisper_option_depr(WARNING     WHISPER_SYCL_F16            GGML_SYCL_F16)
 # build the library
 #
 
-if (NOT TARGET ggml)
-    add_subdirectory(ggml)
-    # ... otherwise assume ggml is added by a parent CMakeLists.txt
-endif()
+add_subdirectory(ggml)
 add_subdirectory(src)
 
 #
@@ -164,6 +161,18 @@ install(FILES ${CMAKE_CURRENT_BINARY_DIR}/whisper-config.cmake
               ${CMAKE_CURRENT_BINARY_DIR}/whisper-version.cmake
         DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/whisper)
 
+install(
+    FILES convert-hf-to-gguf.py
+    PERMISSIONS
+        OWNER_READ
+        OWNER_WRITE
+        OWNER_EXECUTE
+        GROUP_READ
+        GROUP_EXECUTE
+        WORLD_READ
+        WORLD_EXECUTE
+    DESTINATION ${CMAKE_INSTALL_BINDIR})
+
 configure_file(cmake/whisper.pc.in
         "${CMAKE_CURRENT_BINARY_DIR}/whisper.pc"
         @ONLY)

Package.swift

@@ -14,6 +14,46 @@ let package = Package(
         .library(name: "whisper", targets: ["whisper"]),
     ],
     targets: [
-        .systemLibrary(name: "whisper", pkgConfig: "whisper"),
-    ]
+        .target(
+            name: "whisper",
+            path: ".",
+            exclude: [
+               "bindings",
+               "cmake",
+               "coreml",
+               "examples",
+               "extra",
+               "models",
+               "samples",
+               "tests",
+               "CMakeLists.txt",
+               "Makefile"
+            ],
+            sources: [
+                "ggml/src/ggml.c",
+                "src/whisper.cpp",
+                "ggml/src/ggml-alloc.c",
+                "ggml/src/ggml-backend.c",
+                "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
 )

README.md

@@ -7,23 +7,21 @@
 [![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: [v1.7.2](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.7.2) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
+Stable: [v1.6.2](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.6.0) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
 
 High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisper) automatic speech recognition (ASR) model:
 
 - Plain C/C++ implementation without dependencies
-- Apple Silicon first-class citizen - optimized via ARM NEON, Accelerate framework, Metal and [Core ML](#core-ml-support)
+- Apple Silicon first-class citizen - optimized via ARM NEON, Accelerate framework, Metal and [Core ML](https://github.com/ggerganov/whisper.cpp#core-ml-support)
 - AVX intrinsics support for x86 architectures
 - VSX intrinsics support for POWER architectures
 - Mixed F16 / F32 precision
-- [Integer quantization support](#quantization)
+- [4-bit and 5-bit integer quantization support](https://github.com/ggerganov/whisper.cpp#quantization)
 - Zero memory allocations at runtime
-- [Vulkan support](#vulkan-gpu-support)
 - Support for CPU-only inference
-- [Efficient GPU support for NVIDIA](#nvidia-gpu-support)
-- [OpenVINO Support](#openvino-support)
-- [Ascend NPU Support](#ascend-npu-support)
-- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/include/whisper.h)
+- [Efficient GPU support for NVIDIA](https://github.com/ggerganov/whisper.cpp#nvidia-gpu-support-via-cublas)
+- [OpenVINO Support](https://github.com/ggerganov/whisper.cpp#openvino-support)
+- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h)
 
 Supported platforms:
 
@@ -35,9 +33,9 @@ Supported platforms:
 - [x] [WebAssembly](examples/whisper.wasm)
 - [x] Windows ([MSVC](https://github.com/ggerganov/whisper.cpp/blob/master/.github/workflows/build.yml#L117-L144) and [MinGW](https://github.com/ggerganov/whisper.cpp/issues/168)]
 - [x] [Raspberry Pi](https://github.com/ggerganov/whisper.cpp/discussions/166)
-- [x] [Docker](https://github.com/ggerganov/whisper.cpp/pkgs/container/whisper.cpp)
+- [x] [docker](https://github.com/ggerganov/whisper.cpp/pkgs/container/whisper.cpp)
 
-The entire high-level implementation of the model is contained in [whisper.h](include/whisper.h) and [whisper.cpp](src/whisper.cpp).
+The entire high-level implementation of the model is contained in [whisper.h](whisper.h) and [whisper.cpp](whisper.cpp).
 The rest of the code is part of the [`ggml`](https://github.com/ggerganov/ggml) machine learning library.
 
 Having such a lightweight implementation of the model allows to easily integrate it in different platforms and applications.
@@ -57,8 +55,8 @@ 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))
+- The core tensor operations are implemented in C ([ggml.h](ggml.h) / [ggml.c](ggml.c))
+- The transformer model and the high-level C-style API are implemented in C++ ([whisper.h](whisper.h) / [whisper.cpp](whisper.cpp))
 - Sample usage is demonstrated in [main.cpp](examples/main)
 - Sample real-time audio transcription from the microphone is demonstrated in [stream.cpp](examples/stream)
 - Various other examples are available in the [examples](examples) folder
@@ -73,27 +71,20 @@ First clone the repository:
 git clone https://github.com/ggerganov/whisper.cpp.git
 ```
 
-Navigate into the directory:
-
-```
-cd whisper.cpp
-```
-
 Then, download one of the Whisper [models](models/README.md) converted in [`ggml` format](#ggml-format). For example:
 
 ```bash
-sh ./models/download-ggml-model.sh base.en
+bash ./models/download-ggml-model.sh base.en
 ```
 
 Now build the [main](examples/main) example and transcribe an audio file like this:
 
 ```bash
 # build the main example
-cmake -B build
-cmake --build build --config Release
+make
 
 # transcribe an audio file
-./build/bin/main -f samples/jfk.wav
+./main -f samples/jfk.wav
 ```
 
 ---
@@ -101,7 +92,7 @@ cmake --build build --config Release
 For a quick demo, simply run `make base.en`:
 
 ```text
-$ make -j base.en
+$ 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
@@ -154,7 +145,7 @@ options:
   -ng,       --no-gpu            [false  ] disable GPU
 
 
-sh ./models/download-ggml-model.sh base.en
+bash ./models/download-ggml-model.sh base.en
 Downloading ggml model base.en ...
 ggml-base.en.bin               100%[========================>] 141.11M  6.34MB/s    in 24s
 Done! Model 'base.en' saved in 'models/ggml-base.en.bin'
@@ -225,7 +216,7 @@ ffmpeg -i input.mp3 -ar 16000 -ac 1 -c:a pcm_s16le output.wav
 If you want some extra audio samples to play with, simply run:
 
 ```
-make -j samples
+make samples
 ```
 
 This will download a few more audio files from Wikipedia and convert them to 16-bit WAV format via `ffmpeg`.
@@ -233,18 +224,17 @@ This will download a few more audio files from Wikipedia and convert them to 16-
 You can download and run the other models as follows:
 
 ```
-make -j tiny.en
-make -j tiny
-make -j base.en
-make -j base
-make -j small.en
-make -j small
-make -j medium.en
-make -j medium
-make -j large-v1
-make -j large-v2
-make -j large-v3
-make -j large-v3-turbo
+make tiny.en
+make tiny
+make base.en
+make base
+make small.en
+make small
+make medium.en
+make medium
+make large-v1
+make large-v2
+make large-v3
 ```
 
 ## Memory usage
@@ -266,12 +256,11 @@ Here are the steps for creating and using a quantized model:
 
 ```bash
 # quantize a model with Q5_0 method
-cmake -B build
-cmake --build build --config Release
-./build/bin/quantize models/ggml-base.en.bin models/ggml-base.en-q5_0.bin q5_0
+make quantize
+./quantize models/ggml-base.en.bin models/ggml-base.en-q5_0.bin q5_0
 
 # run the examples as usual, specifying the quantized model file
-./build/bin/main -m models/ggml-base.en-q5_0.bin ./samples/gb0.wav
+./main -m models/ggml-base.en-q5_0.bin ./samples/gb0.wav
 ```
 
 ## Core ML support
@@ -305,6 +294,10 @@ speed-up - more than x3 faster compared with CPU-only execution. Here are the in
 - Build `whisper.cpp` with Core ML support:
 
   ```bash
+  # using Makefile
+  make clean
+  WHISPER_COREML=1 make -j
+
   # using CMake
   cmake -B build -DWHISPER_COREML=1
   cmake --build build -j --config Release
@@ -424,18 +417,8 @@ First, make sure you have installed `cuda`: https://developer.nvidia.com/cuda-do
 Now build `whisper.cpp` with CUDA support:
 
 ```
-cmake -B build -DGGML_CUDA=1
-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
+make clean
+GGML_CUDA=1 make -j
 ```
 
 ## BLAS CPU support via OpenBLAS
@@ -446,41 +429,25 @@ First, make sure you have installed `openblas`: https://www.openblas.net/
 Now build `whisper.cpp` with OpenBLAS support:
 
 ```
-cmake -B build -DGGML_BLAS=1
-cmake --build build -j --config Release
+make clean
+GGML_OPENBLAS=1 make -j
 ```
 
-## Ascend NPU support
+## BLAS CPU support via Intel MKL
 
-Ascend NPU provides inference acceleration via [`CANN`](https://www.hiascend.com/en/software/cann) and AI cores.
+Encoder processing can be accelerated on the CPU via the BLAS compatible interface of Intel's Math Kernel Library.
+First, make sure you have installed Intel's MKL runtime and development packages: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-download.html
 
-First, check if your Ascend NPU device is supported:
-
-**Verified devices**
-| Ascend NPU                    | Status  |
-|:-----------------------------:|:-------:|
-| Atlas 300T A2                 | Support |
-
-Then, make sure you have installed [`CANN toolkit`](https://www.hiascend.com/en/software/cann/community) . The lasted version of CANN is recommanded.
-
-Now build `whisper.cpp` with CANN support:
+Now build `whisper.cpp` with Intel MKL BLAS support:
 
 ```
-cmake -B build -DGGML_CANN=1
-cmake --build build -j --config Release
+source /opt/intel/oneapi/setvars.sh
+mkdir build
+cd build
+cmake -DWHISPER_MKL=ON ..
+WHISPER_MKL=1 make -j
 ```
 
-Run the inference examples as usual, for example:
-
-```
-./build/bin/main -f samples/jfk.wav -m models/ggml-base.en.bin -t 8
-```
-
-*Notes:*
-
-- If you have trouble with Ascend NPU device, please create a issue with **[CANN]** prefix/tag.
-- If you run successfully with your Ascend NPU device, please help update the table `Verified devices`.
-
 ## Docker
 
 ### Prerequisites
@@ -617,9 +584,8 @@ The [stream](examples/stream) tool samples the audio every half a second and run
 More info is available in [issue #10](https://github.com/ggerganov/whisper.cpp/issues/10).
 
 ```bash
-cmake -B build
-cmake --build build --config Release
-./build/bin/stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000
+make stream
+./stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000
 ```
 
 https://user-images.githubusercontent.com/1991296/194935793-76afede7-cfa8-48d8-a80f-28ba83be7d09.mp4
@@ -785,7 +751,7 @@ took to execute it. The results are summarized in the following Github issue:
 
 [Benchmark results](https://github.com/ggerganov/whisper.cpp/issues/89)
 
-Additionally a script to run whisper.cpp with different models and audio files is provided [bench.py](scripts/bench.py).
+Additionally a script to run whisper.cpp with different models and audio files is provided [bench.py](bench.py).
 
 You can run it with the following command, by default it will run against any standard model in the models folder.
 
@@ -832,7 +798,6 @@ For more details, see the conversion script [models/convert-pt-to-ggml.py](model
   - [stlukey/whispercpp.py](https://github.com/stlukey/whispercpp.py) (Cython)
   - [AIWintermuteAI/whispercpp](https://github.com/AIWintermuteAI/whispercpp) (Updated fork of aarnphm/whispercpp)
   - [aarnphm/whispercpp](https://github.com/aarnphm/whispercpp) (Pybind11)
-  - [abdeladim-s/pywhispercpp](https://github.com/abdeladim-s/pywhispercpp) (Pybind11)
 - [x] R: [bnosac/audio.whisper](https://github.com/bnosac/audio.whisper)
 - [x] Unity: [macoron/whisper.unity](https://github.com/Macoron/whisper.unity)
 

Sources/whisper/module.modulemap

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

Sources/whisper/whisper.h

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

bindings/go/Makefile

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

bindings/go/README.md

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

bindings/go/examples/go-model-download/main.go

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

bindings/go/go.mod

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

bindings/go/go.sum

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

bindings/go/params.go

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

bindings/go/pkg/whisper/context.go

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

bindings/go/pkg/whisper/context_test.go

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

bindings/go/pkg/whisper/interface.go

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

bindings/go/pkg/whisper/model_test.go

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

bindings/go/pkg/whisper/util_test.go

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

bindings/go/whisper.go

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

bindings/javascript/package.json

@@ -1,6 +1,6 @@
 {
   "name": "whisper.cpp",
-  "version": "1.7.2",
+  "version": "1.6.2",
   "description": "Whisper speech recognition",
   "main": "whisper.js",
   "scripts": {

bindings/ruby/.gitignore

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

bindings/ruby/README.md

@@ -1,187 +0,0 @@
-whispercpp
-==========
-
-![whisper.cpp](https://user-images.githubusercontent.com/1991296/235238348-05d0f6a4-da44-4900-a1de-d0707e75b763.jpeg)
-
-Ruby bindings for [whisper.cpp][], an interface of automatic speech recognition model.
-
-Installation
-------------
-
-Install the gem and add to the application's Gemfile by executing:
-
-    $ bundle add whispercpp
-
-If bundler is not being used to manage dependencies, install the gem by executing:
-
-    $ gem install whispercpp
-
-Usage
------
-
-```ruby
-require "whisper"
-
-whisper = Whisper::Context.new("path/to/model.bin")
-
-params = Whisper::Params.new
-params.language = "en"
-params.offset = 10_000
-params.duration = 60_000
-params.max_text_tokens = 300
-params.translate = true
-params.print_timestamps = false
-params.initial_prompt = "Initial prompt here."
-
-whisper.transcribe("path/to/audio.wav", params) do |whole_text|
-  puts whole_text
-end
-
-```
-
-### Preparing model ###
-
-Use script to download model file(s):
-
-```bash
-git clone https://github.com/ggerganov/whisper.cpp.git
-cd whisper.cpp
-sh ./models/download-ggml-model.sh base.en
-```
-
-There are some types of models. See [models][] page for details.
-
-### Preparing audio file ###
-
-Currently, whisper.cpp accepts only 16-bit WAV files.
-
-### API ###
-
-Once `Whisper::Context#transcribe` called, you can retrieve segments by `#each_segment`:
-
-```ruby
-def format_time(time_ms)
-  sec, decimal_part = time_ms.divmod(1000)
-  min, sec = sec.divmod(60)
-  hour, min = min.divmod(60)
-  "%02d:%02d:%02d.%03d" % [hour, min, sec, decimal_part]
-end
-
-whisper.transcribe("path/to/audio.wav", params)
-
-whisper.each_segment.with_index do |segment, index|
-  line = "[%{nth}: %{st} --> %{ed}] %{text}" % {
-    nth: index + 1,
-    st: format_time(segment.start_time),
-    ed: format_time(segment.end_time),
-    text: segment.text
-  }
-  line << " (speaker turned)" if segment.speaker_next_turn?
-  puts line
-end
-
-```
-
-You can also add hook to params called on new segment:
-
-```ruby
-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
-
-# 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)
-
-```
-
-You can see model information:
-
-```ruby
-whisper = Whisper::Context.new("path/to/model.bin")
-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"
-
-```
-
-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(MODEL)
-```
-
-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("path/to/model.bin")
-whisper.full(Whisper::Params.new, samples)
-whisper.each_segment do |segment|
-  puts segment.text
-end
-```
-
-The second argument `samples` may be an array, an object with `length` 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.
-
-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

@@ -1,80 +1,12 @@
 require 'rake/clean'
-require "bundler/gem_tasks"
-require "rake/testtask"
-require_relative "extsources"
+  require 'rubygems/package'
 
-SOURCES = FileList[]
-
-EXTSOURCES.each do |src|
-  basename = src.pathmap("%f")
-  dest = basename == "LICENSE" ? basename : src.pathmap("%{../..,ext}p")
-  dir = dest.pathmap("%d")
-  file src
-  directory dir
-  file dest => [src, dir] do |t|
-    cp t.source, t.name
-  end
-  SOURCES.include dest
+desc 'Build gem'
+task :package do
+  spec_source = File.read File.join(File.dirname(__FILE__),'whispercpp.gemspec')
+  spec = nil
+  # see: http://gist.github.com/16215
+  Thread.new { spec = eval("#{spec_source}") }.join
+  spec.validate
+  Gem::Package.build(spec)
 end
-
-CLEAN.include SOURCES
-CLEAN.include FileList[
-                "ext/*.o",
-                "ext/*.metal",
-                "ext/whisper.{so,bundle,dll}",
-                "ext/depend"
-              ]
-
-task build: FileList[
-       "ext/Makefile",
-       "ext/ruby_whisper.h",
-       "ext/ruby_whisper.cpp",
-       "whispercpp.gemspec",
-     ]
-
-directory "pkg"
-CLOBBER.include "pkg"
-
-TEST_MODEL = "../../models/ggml-base.en.bin"
-LIB_NAME = "whisper".ext(RbConfig::CONFIG["DLEXT"])
-SO_FILE = File.join("ext", LIB_NAME)
-LIB_FILE = File.join("lib", LIB_NAME)
-
-file "ext/Makefile" => ["ext/extconf.rb", "ext/ruby_whisper.h", "ext/ruby_whisper.cpp"] + SOURCES do |t|
-  Dir.chdir "ext" do
-    ruby "extconf.rb"
-  end
-end
-
-file SO_FILE => "ext/Makefile" do |t|
-  Dir.chdir "ext" do
-    sh "make"
-  end
-end
-CLEAN.include LIB_FILE
-
-directory "lib"
-file LIB_FILE => [SO_FILE, "lib"] do |t|
-  copy t.source, t.name
-end
-
-Rake::TestTask.new do |t|
-  t.test_files = FileList["tests/test_*.rb"]
-end
-task test: [TEST_MODEL, LIB_FILE]
-
-file TEST_MODEL do
-  Dir.chdir "../.." do
-    sh "./models/download-ggml-model.sh base.en"
-  end
-end
-
-TEST_MEMORY_VIEW = "tests/jfk_reader/jfk_reader.#{RbConfig::CONFIG['DLEXT']}"
-file TEST_MEMORY_VIEW => "tests/jfk_reader/jfk_reader.c" do |t|
-  Dir.chdir "tests/jfk_reader" do
-    ruby "extconf.rb"
-    sh "make"
-  end
-end
-CLEAN.include "tests/jfk_reader/jfk_reader.{o,#{RbConfig::CONFIG['DLEXT']}}"
-task test: TEST_MEMORY_VIEW

bindings/ruby/ext/.gitignore

@@ -1,14 +1,9 @@
 Makefile
-whisper.so
+ggml.c
+ggml.h
+ggml-alloc.c
+ggml-alloc.h
 whisper.bundle
-whisper.dll
-depend
-scripts/get-flags.mk
-*.o
-*.c
-*.cpp
-*.h
-*.m
-*.metal
-!ruby_whisper.cpp
-!ruby_whisper.h
+whisper.cpp
+whisper.h
+dr_wav.h

bindings/ruby/ext/cpu.mk

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

bindings/ruby/ext/extconf.rb

@@ -1,10 +1,23 @@
 require 'mkmf'
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','whisper.cpp')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','whisper.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','whisper-mel.hpp')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml.c')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-impl.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-alloc.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-alloc.c')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-backend-impl.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-backend.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-backend.c')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-common.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-quants.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml-quants.c')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','examples','dr_wav.h')} .")
+
 
 # need to use c++ compiler flags
 $CXXFLAGS << ' -std=c++11'
-
-$LDFLAGS << ' -lstdc++'
-
 # Set to true when building binary gems
 if enable_config('static-stdlib', false)
   $LDFLAGS << ' -static-libgcc -static-libstdc++'
@@ -15,189 +28,4 @@ if enable_config('march-tune-native', false)
   $CXXFLAGS << ' -march=native -mtune=native'
 end
 
-if ENV['WHISPER_METAL']
-  $GGML_METAL ||= true
-  $DEPRECATE_WARNING ||= true
-end
-
-$UNAME_S = `uname -s`.chomp
-$UNAME_P = `uname -p`.chomp
-$UNAME_M = `uname -m`.chomp
-
-if $UNAME_S == 'Darwin'
-  unless ENV['GGML_NO_METAL']
-    $GGML_METAL ||= true
-  end
-  $GGML_NO_OPENMP ||= true
-end
-
-if $GGML_METAL
-  $GGML_METAL_EMBED_LIBRARY = true
-end
-
-$MK_CPPFLAGS = '-Iggml/include -Iggml/src -Iinclude -Isrc -Iexamples'
-$MK_CFLAGS   = '-std=c11   -fPIC'
-$MK_CXXFLAGS = '-std=c++11 -fPIC'
-$MK_NVCCFLAGS = '-std=c++11'
-$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
-
-  if $UNAME_M.match? /aarch64.*/
-    $MK_CFLAGS   << ' -mcpu=native'
-    $MK_CXXFLAGS << ' -mcpu=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-aarch64.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-quants.o'
-
-$OBJ_WHISPER <<
-  'src/whisper.o'
-
-$objs = $OBJ_GGML + $OBJ_WHISPER + $OBJ_COMMON + $OBJ_SDL
-$objs << "ruby_whisper.o"
-
-$CPPFLAGS  = "#{$MK_CPPFLAGS} #{$CPPFLAGS}"
-$CFLAGS    = "#{$CPPFLAGS} #{$MK_CFLAGS} #{$GF_CFLAGS} #{$CFLAGS}"
-$BASE_CXXFLAGS = "#{$MK_CXXFLAGS} #{$CXXFLAGS}"
-$CXXFLAGS  = "#{$BASE_CXXFLAGS} #{$HOST_CXXFLAGS} #{$GF_CXXFLAGS} #{$CPPFLAGS}"
-$NVCCFLAGS = "#{$MK_NVCCFLAGS} #{$NVCCFLAGS}"
-$LDFLAGS   = "#{$MK_LDFLAGS} #{$LDFLAGS}"
-
 create_makefile('whisper')
-
-File.open 'Makefile', 'a' do |file|
-  file.puts 'include scripts/get-flags.mk'
-  file.puts 'include cpu.mk'
-
-  if $GGML_METAL
-    file.puts 'include metal.mk'
-
-    if $GGML_METAL_EMBED_LIBRARY
-      file.puts 'include metal-embed.mk'
-    end
-  end
-end

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

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

bindings/ruby/ext/ggml-backend.h

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

bindings/ruby/ext/ggml-cuda.h

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

bindings/ruby/ext/ggml-impl.h

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

bindings/ruby/ext/ggml-kompute.h

@@ -0,0 +1,46 @@
+#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

@@ -0,0 +1,66 @@
+// 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

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

bindings/ruby/ext/ggml-quants.h

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

bindings/ruby/ext/ggml-sycl.h

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

bindings/ruby/ext/ggml-vulkan.h

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

bindings/ruby/ext/metal-embed.mk

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

bindings/ruby/ext/metal.mk

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

bindings/ruby/ext/ruby_whisper.h

@@ -3,13 +3,6 @@
 
 #include "whisper.h"
 
-typedef struct {
-  VALUE *context;
-  VALUE user_data;
-  VALUE callback;
-  VALUE callbacks;
-} ruby_whisper_callback_container;
-
 typedef struct {
   struct whisper_context *context;
 } ruby_whisper;
@@ -17,9 +10,6 @@ typedef struct {
 typedef struct {
   struct whisper_full_params params;
   bool diarize;
-  ruby_whisper_callback_container *new_segment_callback_container;
-  ruby_whisper_callback_container *progress_callback_container;
-  ruby_whisper_callback_container *abort_callback_container;
 } ruby_whisper_params;
 
 #endif

bindings/ruby/extsources.rb

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

bindings/ruby/tests/helper.rb

@@ -1,8 +0,0 @@
-require "test/unit"
-require "whisper"
-require_relative "jfk_reader/jfk_reader"
-
-class TestBase < Test::Unit::TestCase
-  MODEL = File.join(__dir__, "..", "..", "..", "models", "ggml-base.en.bin")
-  AUDIO = File.join(__dir__, "..", "..", "..", "samples", "jfk.wav")
-end

bindings/ruby/tests/jfk_reader/.gitignore

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

bindings/ruby/tests/jfk_reader/extconf.rb

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

bindings/ruby/tests/jfk_reader/jfk_reader.c

@@ -1,108 +0,0 @@
-#include <ruby.h>
-#include <ruby/memory_view.h>
-#include <ruby/encoding.h>
-
-static VALUE
-jfk_reader_initialize(VALUE self, VALUE audio_path)
-{
-  rb_iv_set(self, "audio_path", audio_path);
-  return Qnil;
-}
-
-static bool
-jfk_reader_get_memory_view(const VALUE obj, rb_memory_view_t *view, int flags)
-{
-  VALUE audio_path = rb_iv_get(obj, "audio_path");
-  const char *audio_path_str = StringValueCStr(audio_path);
-  const int n_samples = 176000;
-  float *data = (float *)malloc(n_samples * sizeof(float));
-  short *samples = (short *)malloc(n_samples * sizeof(short));
-  FILE *file = fopen(audio_path_str, "rb");
-
-  fseek(file, 78, SEEK_SET);
-  fread(samples, sizeof(short), n_samples, file);
-  fclose(file);
-  for (int i = 0; i < n_samples; i++) {
-    data[i] = samples[i]/32768.0;
-  }
-
-  view->obj = obj;
-  view->data = (void *)data;
-  view->byte_size = sizeof(float) * n_samples;
-  view->readonly = true;
-  view->format = "f";
-  view->item_size = sizeof(float);
-  view->item_desc.components = NULL;
-  view->item_desc.length = 0;
-  view->ndim = 1;
-  view->shape = NULL;
-  view->sub_offsets = NULL;
-  view->private_data = NULL;
-
-  return true;
-}
-
-static bool
-jfk_reader_release_memory_view(const VALUE obj, rb_memory_view_t *view)
-{
-  return true;
-}
-
-static bool
-jfk_reader_memory_view_available_p(const VALUE obj)
-{
-  return true;
-}
-
-static const rb_memory_view_entry_t jfk_reader_view_entry = {
-  jfk_reader_get_memory_view,
-  jfk_reader_release_memory_view,
-  jfk_reader_memory_view_available_p
-};
-
-static VALUE
-read_jfk(int argc, VALUE *argv, VALUE obj)
-{
-  const char *audio_path_str = StringValueCStr(argv[0]);
-  const int n_samples = 176000;
-
-  short samples[n_samples];
-  FILE *file = fopen(audio_path_str, "rb");
-
-  fseek(file, 78, SEEK_SET);
-  fread(samples, sizeof(short), n_samples, file);
-  fclose(file);
-
-  VALUE rb_samples = rb_ary_new2(n_samples);
-  for (int i = 0; i < n_samples; i++) {
-    rb_ary_push(rb_samples, INT2FIX(samples[i]));
-  }
-
-  VALUE rb_data = rb_ary_new2(n_samples);
-  for (int i = 0; i < n_samples; i++) {
-    rb_ary_push(rb_data, DBL2NUM(samples[i]/32768.0));
-  }
-
-  float data[n_samples];
-  for (int i = 0; i < n_samples; i++) {
-    data[i] = samples[i]/32768.0;
-  }
-  void *c_data = (void *)data;
-  VALUE rb_void = rb_enc_str_new((const char *)c_data, sizeof(data), rb_ascii8bit_encoding());
-
-  VALUE rb_result = rb_ary_new3(3, rb_samples, rb_data, rb_void);
-  return rb_result;
-}
-
-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);
-
-
-  rb_define_global_function("read_jfk", read_jfk, -1);
-
-
-
-}

bindings/ruby/tests/test_callback.rb

@@ -1,163 +0,0 @@
-require "test/unit"
-require "whisper"
-
-class TestCallback < Test::Unit::TestCase
-  TOPDIR = File.expand_path(File.join(File.dirname(__FILE__), '..'))
-
-  def setup
-    GC.start
-    @params = Whisper::Params.new
-    @whisper = Whisper::Context.new(File.join(TOPDIR, '..', '..', 'models', 'ggml-base.en.bin'))
-    @audio = File.join(TOPDIR, '..', '..', 'samples', 'jfk.wav')
-  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

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

@@ -1,44 +0,0 @@
-require_relative "helper"
-
-class TestModel < TestBase
-  def test_model
-    whisper = Whisper::Context.new(MODEL)
-    assert_instance_of Whisper::Model, whisper.model
-  end
-
-  def test_attributes
-    whisper = Whisper::Context.new(MODEL)
-    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(MODEL).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
-end

bindings/ruby/tests/test_package.rb

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

@@ -1,154 +0,0 @@
-require_relative "helper"
-
-class TestParams < TestBase
-  def setup
-    @params  = Whisper::Params.new
-  end
-
-  def test_language
-    @params.language = "en"
-    assert_equal @params.language, "en"
-    @params.language = "auto"
-    assert_equal @params.language, "auto"
-  end
-
-  def test_offset
-    @params.offset = 10_000
-    assert_equal @params.offset, 10_000
-    @params.offset = 0
-    assert_equal @params.offset, 0
-  end
-
-  def test_duration
-    @params.duration = 60_000
-    assert_equal @params.duration, 60_000
-    @params.duration = 0
-    assert_equal @params.duration, 0
-  end
-
-  def test_max_text_tokens
-    @params.max_text_tokens = 300
-    assert_equal @params.max_text_tokens, 300
-    @params.max_text_tokens = 0
-    assert_equal @params.max_text_tokens, 0
-  end
-
-  def test_translate
-    @params.translate = true
-    assert @params.translate
-    @params.translate = false
-    assert !@params.translate
-  end
-
-  def test_no_context
-    @params.no_context = true
-    assert @params.no_context
-    @params.no_context = false
-    assert !@params.no_context
-  end
-
-  def test_single_segment
-    @params.single_segment = true
-    assert @params.single_segment
-    @params.single_segment = false
-    assert !@params.single_segment
-  end
-
-  def test_print_special
-    @params.print_special = true
-    assert @params.print_special
-    @params.print_special = false
-    assert !@params.print_special
-  end
-
-  def test_print_progress
-    @params.print_progress = true
-    assert @params.print_progress
-    @params.print_progress = false
-    assert !@params.print_progress
-  end
-
-  def test_print_realtime
-    @params.print_realtime = true
-    assert @params.print_realtime
-    @params.print_realtime = false
-    assert !@params.print_realtime
-  end
-
-  def test_print_timestamps
-    @params.print_timestamps = true
-    assert @params.print_timestamps
-    @params.print_timestamps = false
-    assert !@params.print_timestamps
-  end
-
-  def test_suppress_blank
-    @params.suppress_blank = true
-    assert @params.suppress_blank
-    @params.suppress_blank = false
-    assert !@params.suppress_blank
-  end
-
-  def test_suppress_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_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
-end

bindings/ruby/tests/test_segment.rb

@@ -1,83 +0,0 @@
-require_relative "helper"
-
-class TestSegment < TestBase
-  class << self
-    attr_reader :whisper
-
-    def startup
-      @whisper = Whisper::Context.new(TestBase::MODEL)
-      params = Whisper::Params.new
-      params.print_timestamps = false
-      @whisper.transcribe(TestBase::AUDIO, params)
-    end
-  end
-
-  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_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
-
-  private
-
-  def whisper
-    self.class.whisper
-  end
-end

bindings/ruby/tests/test_whisper.rb

@@ -1,226 +1,131 @@
-require_relative "helper"
-require "stringio"
-require "etc"
+TOPDIR = File.expand_path(File.join(File.dirname(__FILE__), '..'))
+EXTDIR = File.join(TOPDIR, 'ext')
+#$LIBDIR = File.join(TOPDIR, 'lib')
+#$:.unshift(LIBDIR)
+$:.unshift(EXTDIR)
 
-# Exists to detect memory-related bug
-Whisper.log_set ->(level, buffer, user_data) {}, nil
+require 'whisper'
+require 'test/unit'
 
-class TestWhisper < TestBase
+class TestWhisper < Test::Unit::TestCase
   def setup
     @params  = Whisper::Params.new
   end
 
+  def test_language
+    @params.language = "en"
+    assert_equal @params.language, "en"
+    @params.language = "auto"
+    assert_equal @params.language, "auto"
+  end
+
+  def test_offset
+    @params.offset = 10_000
+    assert_equal @params.offset, 10_000
+    @params.offset = 0
+    assert_equal @params.offset, 0
+  end
+
+  def test_duration
+    @params.duration = 60_000
+    assert_equal @params.duration, 60_000
+    @params.duration = 0
+    assert_equal @params.duration, 0
+  end
+
+  def test_max_text_tokens
+    @params.max_text_tokens = 300
+    assert_equal @params.max_text_tokens, 300
+    @params.max_text_tokens = 0
+    assert_equal @params.max_text_tokens, 0
+  end
+
+  def test_translate
+    @params.translate = true
+    assert @params.translate
+    @params.translate = false
+    assert !@params.translate
+  end
+
+  def test_no_context
+    @params.no_context = true
+    assert @params.no_context
+    @params.no_context = false
+    assert !@params.no_context
+  end
+
+  def test_single_segment
+    @params.single_segment = true
+    assert @params.single_segment
+    @params.single_segment = false
+    assert !@params.single_segment
+  end
+
+  def test_print_special
+    @params.print_special = true
+    assert @params.print_special
+    @params.print_special = false
+    assert !@params.print_special
+  end
+
+  def test_print_progress
+    @params.print_progress = true
+    assert @params.print_progress
+    @params.print_progress = false
+    assert !@params.print_progress
+  end
+
+  def test_print_realtime
+    @params.print_realtime = true
+    assert @params.print_realtime
+    @params.print_realtime = false
+    assert !@params.print_realtime
+  end
+
+  def test_print_timestamps
+    @params.print_timestamps = true
+    assert @params.print_timestamps
+    @params.print_timestamps = false
+    assert !@params.print_timestamps
+  end
+
+  def test_suppress_blank
+    @params.suppress_blank = true
+    assert @params.suppress_blank
+    @params.suppress_blank = false
+    assert !@params.suppress_blank
+  end
+
+  def test_suppress_non_speech_tokens
+    @params.suppress_non_speech_tokens = true
+    assert @params.suppress_non_speech_tokens
+    @params.suppress_non_speech_tokens = false
+    assert !@params.suppress_non_speech_tokens
+  end
+
+  def test_token_timestamps
+    @params.token_timestamps = true
+    assert @params.token_timestamps
+    @params.token_timestamps = false
+    assert !@params.token_timestamps
+  end
+
+  def test_split_on_word
+    @params.split_on_word = true
+    assert @params.split_on_word
+    @params.split_on_word = false
+    assert !@params.split_on_word
+  end
+
   def test_whisper
-    @whisper = Whisper::Context.new(MODEL)
+    @whisper = Whisper::Context.new(File.join(TOPDIR, '..', '..', 'models', 'ggml-base.en.bin'))
     params  = Whisper::Params.new
     params.print_timestamps = false
 
-    @whisper.transcribe(AUDIO, params) {|text|
+    jfk = File.join(TOPDIR, '..', '..', 'samples', 'jfk.wav')
+    @whisper.transcribe(jfk, params) {|text|
       assert_match /ask not what your country can do for you, ask what you can do for your country/, text
     }
   end
 
-  sub_test_case "After transcription" do
-    class << self
-      attr_reader :whisper
-
-      def startup
-        @whisper = Whisper::Context.new(TestBase::MODEL)
-        params = Whisper::Params.new
-        params.print_timestamps = false
-        @whisper.transcribe(TestBase::AUDIO, params)
-      end
-    end
-
-    def whisper
-      self.class.whisper
-    end
-
-    def test_full_n_segments
-      assert_equal 1, whisper.full_n_segments
-    end
-
-    def test_full_lang_id
-      assert_equal 0, whisper.full_lang_id
-    end
-
-    def test_full_get_segment_t0
-      assert_equal 0, whisper.full_get_segment_t0(0)
-      assert_raise IndexError do
-        whisper.full_get_segment_t0(whisper.full_n_segments)
-      end
-      assert_raise IndexError do
-        whisper.full_get_segment_t0(-1)
-      end
-    end
-
-    def test_full_get_segment_t1
-      t1 = whisper.full_get_segment_t1(0)
-      assert_kind_of Integer, t1
-      assert t1 > 0
-      assert_raise IndexError do
-        whisper.full_get_segment_t1(whisper.full_n_segments)
-      end
-    end
-
-    def test_full_get_segment_speaker_turn_next
-      assert_false whisper.full_get_segment_speaker_turn_next(0)
-    end
-
-    def test_full_get_segment_text
-      assert_match /ask not what your country can do for you, ask what you can do for your country/, whisper.full_get_segment_text(0)
-    end
-  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(MODEL)
-
-    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(MODEL)
-    assert_empty dev.string
-  ensure
-    $stderr = stderr
-  end
-
-  sub_test_case "full" do
-    def setup
-      super
-      @whisper = Whisper::Context.new(MODEL)
-      @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

@@ -1,5 +1,3 @@
-require_relative "extsources"
-
 Gem::Specification.new do |s|
   s.name    = "whispercpp"
   s.authors = ["Georgi Gerganov", "Todd A. Fisher"]
@@ -9,25 +7,19 @@ Gem::Specification.new do |s|
   s.email   = 'todd.fisher@gmail.com'
   s.extra_rdoc_files = ['LICENSE', 'README.md']
   
-  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.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.summary = %q{Ruby whisper.cpp bindings}
-  s.test_files = s.files.select {|file| file.start_with? "tests/"}
+  s.test_files = ["tests/test_whisper.rb"]
   
   s.extensions << 'ext/extconf.rb'
   
 
   #### 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

cmake/DefaultTargetOptions.cmake

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

cmake/FindFFmpeg.cmake

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

cmake/whisper-config.cmake.in

@@ -1,7 +1,7 @@
-set(WHISPER_VERSION      @WHISPER_INSTALL_VERSION@)
-set(WHISPER_BUILD_COMMIT @WHISPER_BUILD_COMMIT@)
-set(WHISPER_BUILD_NUMBER @WHISPER_BUILD_NUMBER@)
-set(WHISPER_SHARED_LIB   @BUILD_SHARED_LIBS@)
+set(LLAMA_VERSION      @LLAMA_INSTALL_VERSION@)
+set(LLAMA_BUILD_COMMIT @LLAMA_BUILD_COMMIT@)
+set(LLAMA_BUILD_NUMBER @LLAMA_BUILD_NUMBER@)
+set(LLAMA_SHARED_LIB   @BUILD_SHARED_LIBS@)
 
 set(GGML_BLAS       @GGML_BLAS@)
 set(GGML_CUDA       @GGML_CUDA@)
@@ -11,9 +11,9 @@ set(GGML_ACCELERATE @GGML_ACCELERATE@)
 
 @PACKAGE_INIT@
 
-set_and_check(WHISPER_INCLUDE_DIR "@PACKAGE_WHISPER_INCLUDE_INSTALL_DIR@")
-set_and_check(WHISPER_LIB_DIR     "@PACKAGE_WHISPER_LIB_INSTALL_DIR@")
-set_and_check(WHISPER_BIN_DIR     "@PACKAGE_WHISPER_BIN_INSTALL_DIR@")
+set_and_check(LLAMA_INCLUDE_DIR "@PACKAGE_LLAMA_INCLUDE_INSTALL_DIR@")
+set_and_check(LLAMA_LIB_DIR     "@PACKAGE_LLAMA_LIB_INSTALL_DIR@")
+set_and_check(LLAMA_BIN_DIR     "@PACKAGE_LLAMA_BIN_INSTALL_DIR@")
 
 # Ensure transient dependencies satisfied
 
@@ -43,23 +43,23 @@ if (GGML_HIPBLAS)
     find_package(rocblas REQUIRED)
 endif()
 
-find_library(whisper_LIBRARY whisper
+find_library(llama_LIBRARY llama
     REQUIRED
-    HINTS ${WHISPER_LIB_DIR})
+    HINTS ${LLAMA_LIB_DIR})
 
-set(_whisper_link_deps "Threads::Threads" "@WHISPER_EXTRA_LIBS@")
-set(_whisper_transient_defines "@WHISPER_TRANSIENT_DEFINES@")
+set(_llama_link_deps "Threads::Threads" "@LLAMA_EXTRA_LIBS@")
+set(_llama_transient_defines "@LLAMA_TRANSIENT_DEFINES@")
 
-add_library(whisper UNKNOWN IMPORTED)
+add_library(llama UNKNOWN IMPORTED)
 
-set_target_properties(whisper
+set_target_properties(llama
     PROPERTIES
-    INTERFACE_INCLUDE_DIRECTORIES "${WHISPER_INCLUDE_DIR}"
-        INTERFACE_LINK_LIBRARIES "${_whisper_link_deps}"
-        INTERFACE_COMPILE_DEFINITIONS "${_whisper_transient_defines}"
+        INTERFACE_INCLUDE_DIRECTORIES "${LLAMA_INCLUDE_DIR}"
+        INTERFACE_LINK_LIBRARIES "${_llama_link_deps}"
+        INTERFACE_COMPILE_DEFINITIONS "${_llama_transient_defines}"
         IMPORTED_LINK_INTERFACE_LANGUAGES "CXX"
-        IMPORTED_LOCATION "${whisper_LIBRARY}"
+        IMPORTED_LOCATION "${llama_LIBRARY}"
         INTERFACE_COMPILE_FEATURES cxx_std_11
         POSITION_INDEPENDENT_CODE ON )
 
-check_required_components(whisper)
+check_required_components(Llama)

cmake/whisper.pc.in

@@ -6,5 +6,5 @@ includedir=${prefix}/include
 Name: whisper
 Description: Port of OpenAI's Whisper model in C/C++
 Version: @PROJECT_VERSION@
-Libs: -L${libdir} -lggml  -lggml-base -lwhisper
+Libs: -L${libdir} -lwhisper
 Cflags: -I${includedir}

examples/CMakeLists.txt

@@ -40,7 +40,7 @@ if (WHISPER_FFMPEG)
     message(STATUS "Found ffmpeg libs:       ${FFMPEG_LIBRARIES}")
     message(STATUS "Found ffmpeg headers in: ${FFMPEG_INCLUDE_DIRS}")
     message(STATUS "ffmpeg definitions:      ${FFMPEG_DEFINITIONS}")
-    message(STATUS "Found avformat           ${AVFORMAT_VERSION}")
+    message(STATUS "Found avformat ${AVFORMAT_VERSION}")
 
     include_directories(${FFMPEG_INCLUDE_DIRS})
     add_compile_definitions(WHISPER_FFMPEG)
@@ -102,8 +102,8 @@ if (EMSCRIPTEN)
     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(talk.wasm)
+    set_target_properties(libtalk PROPERTIES FOLDER "libs")
     add_subdirectory(bench.wasm)
     set_target_properties(libbench PROPERTIES FOLDER "libs")
 elseif(CMAKE_JS_VERSION)
@@ -127,17 +127,15 @@ endif (WHISPER_SDL2)
     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)
+    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(ls-sycl-device PROPERTIES FOLDER "examples")
+        set_target_properties(sycl PROPERTIES FOLDER "examples")
     endif()
 endif (WHISPER_SDL2)
 endif()

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;
@@ -212,12 +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_IQ4_NL_4_4:
                 case GGML_TYPE_COUNT:
                     {
                         fprintf(stderr, "%s: unsupported quantization type %d (%s)\n", __func__, ttype, ggml_type_name((ggml_type) ttype));

examples/common.cpp

@@ -147,6 +147,7 @@ std::string gpt_random_prompt(std::mt19937 & rng) {
         case 7: return "He";
         case 8: return "She";
         case 9: return "They";
+        default: return "To";
     }
 
     return "The";

examples/common.h

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

examples/ffmpeg-transcode.cpp

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

examples/livestream.sh

@@ -48,7 +48,7 @@ if [ -n "$3" ]; then
 fi
 
 # Whisper models
-models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" "large-v3-turbo" )
+models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" )
 
 # list available models
 function list_models {

examples/main/main.cpp

@@ -997,7 +997,6 @@ 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());

examples/python/whisper_processor.py

@@ -21,7 +21,7 @@ def process_audio(wav_file, model_name="base.en"):
     if not os.path.exists(wav_file):
         raise FileNotFoundError(f"WAV file not found: {wav_file}")
 
-    full_command = f"./main -m {model} -f {wav_file} -nt"
+    full_command = f"./main -m {model} -f {wav_file} -np -nt"
 
     # Execute the command
     process = subprocess.Popen(full_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)

examples/server/server.cpp

@@ -34,7 +34,6 @@ struct server_params
     std::string hostname = "127.0.0.1";
     std::string public_path = "examples/server/public";
     std::string request_path = "";
-    std::string inference_path = "/inference";
 
     int32_t port          = 8080;
     int32_t read_timeout  = 600;
@@ -133,7 +132,6 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
     fprintf(stderr, "  --port PORT,                   [%-7d] Port number for the server\n", sparams.port);
     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, "\n");
 }
@@ -184,7 +182,6 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params, serve
         else if (                  arg == "--host")            { sparams.hostname    = argv[++i]; }
         else if (                  arg == "--public")          { sparams.public_path = argv[++i]; }
         else if (                  arg == "--request-path")    { sparams.request_path = argv[++i]; }
-        else if (                  arg == "--inference-path")  { sparams.inference_path = argv[++i]; }
         else if (                  arg == "--convert")         { sparams.ffmpeg_converter     = true; }
         else {
             fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
@@ -219,7 +216,7 @@ void check_ffmpeg_availibility() {
 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";
-    cmd_stream << "ffmpeg -i \"" << temp_filename << "\" -y -ar 16000 -ac 1 -c:a pcm_s16le \"" << converted_filename_temp << "\" 2>&1";
+    cmd_stream << "ffmpeg -i \"" << temp_filename << "\" -ar 16000 -ac 1 -c:a pcm_s16le \"" << converted_filename_temp << "\" 2>&1";
     std::string cmd = cmd_stream.str();
 
     int status = std::system(cmd.c_str());
@@ -647,10 +644,10 @@ int main(int argc, char ** argv) {
         return false;
     });
 
-    svr.Options(sparams.request_path + sparams.inference_path, [&](const Request &, Response &){
+    svr.Options(sparams.request_path + "/inference", [&](const Request &, Response &){
     });
 
-    svr.Post(sparams.request_path + sparams.inference_path, [&](const Request &req, Response &res){
+    svr.Post(sparams.request_path + "/inference", [&](const Request &req, Response &res){
         // acquire whisper model mutex lock
         std::lock_guard<std::mutex> lock(whisper_mutex);
 
@@ -677,8 +674,7 @@ 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 = "whisper_server_temp_file.wav";
             std::ofstream temp_file{temp_filename, std::ios::binary};
             temp_file << audio_file.content;
             temp_file.close();

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 whisper ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_compile_features(${TARGET} PRIVATE cxx_std_17)

examples/sycl/build.sh

@@ -7,16 +7,13 @@ cd build
 source /opt/intel/oneapi/setvars.sh
 
 #for FP16
-#cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DWHISPER_SYCL_F16=ON # faster for long-prompt inference
+#cmake .. -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DWHISPER_SYCL_F16=ON # faster for long-prompt inference
 
 #for FP32
-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
+cmake .. -DWHISPER_SYCL=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

@@ -1,13 +1,7 @@
 if (WHISPER_SDL2)
     # talk-llama
     set(TARGET talk-llama)
-    add_executable(${TARGET} talk-llama.cpp
-        llama.cpp
-        llama-vocab.cpp
-        llama-grammar.cpp
-        llama-sampling.cpp
-        unicode.cpp
-        unicode-data.cpp)
+    add_executable(${TARGET} talk-llama.cpp llama.cpp unicode.cpp unicode-data.cpp)
     target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS})
 
     if (WHISPER_CLBLAST)

examples/talk-llama/llama-grammar.h

@@ -1,144 +0,0 @@
-#pragma once
-
-#include "llama-impl.h"
-
-#include <map>
-
-struct llama_vocab;
-
-// grammar element type
-enum llama_gretype {
-    // end of rule definition
-    LLAMA_GRETYPE_END            = 0,
-
-    // start of alternate definition for rule
-    LLAMA_GRETYPE_ALT            = 1,
-
-    // non-terminal element: reference to rule
-    LLAMA_GRETYPE_RULE_REF       = 2,
-
-    // terminal element: character (code point)
-    LLAMA_GRETYPE_CHAR           = 3,
-
-    // inverse char(s) ([^a], [^a-b] [^abc])
-    LLAMA_GRETYPE_CHAR_NOT       = 4,
-
-    // modifies a preceding LLAMA_GRETYPE_CHAR or LLAMA_GRETYPE_CHAR_ALT to
-    // be an inclusive range ([a-z])
-    LLAMA_GRETYPE_CHAR_RNG_UPPER = 5,
-
-    // modifies a preceding LLAMA_GRETYPE_CHAR or
-    // LLAMA_GRETYPE_CHAR_RNG_UPPER to add an alternate char to match ([ab], [a-zA])
-    LLAMA_GRETYPE_CHAR_ALT       = 6,
-
-    // any character (.)
-    LLAMA_GRETYPE_CHAR_ANY       = 7,
-};
-
-typedef struct llama_grammar_element {
-    enum llama_gretype type;
-    uint32_t           value; // Unicode code point or rule ID
-} llama_grammar_element;
-
-struct llama_partial_utf8 {
-    uint32_t value;    // bit value so far (unshifted)
-    int      n_remain; // num bytes remaining; -1 indicates invalid sequence
-};
-
-struct llama_grammar_candidate {
-    size_t               index;
-    const uint32_t     * code_points;
-    llama_partial_utf8   partial_utf8;
-};
-
-using llama_grammar_rule  = std::vector<      llama_grammar_element>;
-using llama_grammar_stack = std::vector<const llama_grammar_element *>;
-
-using llama_grammar_rules      = std::vector<llama_grammar_rule>;
-using llama_grammar_stacks     = std::vector<llama_grammar_stack>;
-using llama_grammar_candidates = std::vector<llama_grammar_candidate>;
-
-const llama_grammar_rules  & llama_grammar_get_rules (const struct llama_grammar * grammar);
-      llama_grammar_stacks & llama_grammar_get_stacks(      struct llama_grammar * grammar);
-
-// takes a set of possible pushdown stacks on a grammar, which are required to
-// be positioned at a character range (see `llama_grammar_advance_stack`), and
-// produces the N possible stacks if the given char is accepted at those
-// positions
-void llama_grammar_accept(
-        const llama_grammar_rules  & rules,
-        const llama_grammar_stacks & stacks,
-                          uint32_t   chr,
-              llama_grammar_stacks & stacks_new);
-
-std::vector<llama_grammar_candidate> llama_grammar_reject_candidates_for_stack(
-        const llama_grammar_rules      & rules,
-        const llama_grammar_stack      & stack,
-        const llama_grammar_candidates & candidates);
-
-struct llama_grammar_parser {
-    std::map<std::string, uint32_t> symbol_ids;
-
-    llama_grammar_rules rules;
-
-    llama_grammar_stack c_rules() const;
-
-    uint32_t get_symbol_id(const char * src, size_t len);
-    uint32_t generate_symbol_id(const std::string & base_name);
-
-    void add_rule(uint32_t rule_id, const llama_grammar_rule & rule);
-
-    const char * parse_alternates(
-            const char        * src,
-            const std::string & rule_name,
-            uint32_t            rule_id,
-            bool                is_nested);
-
-    const char * parse_sequence(
-            const char         * src,
-            const std::string  & rule_name,
-            llama_grammar_rule & rule,
-            bool               is_nested);
-
-    const char * parse_rule(const char * src);
-
-    bool parse(const char * src);
-    void print(FILE * file);
-};
-
-struct llama_grammar {
-    // note: allow null vocab for testing (not great)
-    const llama_vocab * vocab;
-
-    const llama_grammar_rules  rules;  // TODO: shared ptr
-          llama_grammar_stacks stacks;
-
-    // buffer for partially generated UTF-8 sequence from accepted tokens
-    llama_partial_utf8 partial_utf8;
-};
-
-//
-// internal API
-//
-
-// note: needed for tests (not great)
-struct llama_grammar * llama_grammar_init_impl(
-        const struct llama_vocab * vocab,
-        const llama_grammar_element ** rules,
-        size_t n_rules,
-        size_t start_rule_index);
-
-struct llama_grammar * llama_grammar_init_impl(const struct llama_vocab * vocab, const char * grammar_str, const char * grammar_root);
-
-void llama_grammar_free_impl(struct llama_grammar * grammar);
-
-struct llama_grammar * llama_grammar_clone_impl(const struct llama_grammar & grammar);
-
-// TODO: move the API below as member functions of llama_grammar
-void llama_grammar_apply_impl(
-        const struct llama_grammar & grammar,
-            llama_token_data_array * cur_p);
-
-void llama_grammar_accept_impl(
-              struct llama_grammar & grammar,
-                       llama_token   token);

examples/talk-llama/llama-impl.h

@@ -1,181 +0,0 @@
-#pragma once
-
-#include "llama.h"
-
-#include <string>
-#include <vector>
-#include <stdexcept>
-
-#ifdef __GNUC__
-#ifdef __MINGW32__
-#define LLAMA_ATTRIBUTE_FORMAT(...) __attribute__((format(gnu_printf, __VA_ARGS__)))
-#else
-#define LLAMA_ATTRIBUTE_FORMAT(...) __attribute__((format(printf, __VA_ARGS__)))
-#endif
-#else
-#define LLAMA_ATTRIBUTE_FORMAT(...)
-#endif
-
-//
-// logging
-//
-
-LLAMA_ATTRIBUTE_FORMAT(2, 3)
-void llama_log_internal        (ggml_log_level level, const char * format, ...);
-void llama_log_callback_default(ggml_log_level level, const char * text, void * user_data);
-
-#define LLAMA_LOG(...)       llama_log_internal(GGML_LOG_LEVEL_NONE , __VA_ARGS__)
-#define LLAMA_LOG_INFO(...)  llama_log_internal(GGML_LOG_LEVEL_INFO , __VA_ARGS__)
-#define LLAMA_LOG_WARN(...)  llama_log_internal(GGML_LOG_LEVEL_WARN , __VA_ARGS__)
-#define LLAMA_LOG_ERROR(...) llama_log_internal(GGML_LOG_LEVEL_ERROR, __VA_ARGS__)
-#define LLAMA_LOG_DEBUG(...) llama_log_internal(GGML_LOG_LEVEL_DEBUG, __VA_ARGS__)
-#define LLAMA_LOG_CONT(...)  llama_log_internal(GGML_LOG_LEVEL_CONT , __VA_ARGS__)
-
-//
-// helpers
-//
-
-struct time_meas {
-    time_meas(int64_t & t_acc, bool disable = false) : t_start_us(disable ? -1 : ggml_time_us()), t_acc(t_acc) {}
-
-    ~time_meas() {
-        if (t_start_us >= 0) {
-            t_acc += ggml_time_us() - t_start_us;
-        }
-    }
-
-    const int64_t t_start_us;
-
-    int64_t & t_acc;
-};
-
-static void replace_all(std::string & s, const std::string & search, const std::string & replace) {
-    if (search.empty()) {
-        return;
-    }
-    std::string builder;
-    builder.reserve(s.length());
-    size_t pos = 0;
-    size_t last_pos = 0;
-    while ((pos = s.find(search, last_pos)) != std::string::npos) {
-        builder.append(s, last_pos, pos - last_pos);
-        builder.append(replace);
-        last_pos = pos + search.length();
-    }
-    builder.append(s, last_pos, std::string::npos);
-    s = std::move(builder);
-}
-
-const std::vector<std::pair<std::string, struct ggml_tensor *>> & llama_internal_get_tensor_map(
-    struct llama_context * ctx
-);
-
-// the ring buffer works similarly to std::deque, but with a fixed capacity
-template<typename T>
-struct ring_buffer {
-    ring_buffer(size_t cap) : capacity(cap), data(cap) {}
-
-    T & front() {
-        if (sz == 0) {
-            throw std::runtime_error("ring buffer is empty");
-        }
-        return data[first];
-    }
-
-    const T & front() const {
-        if (sz == 0) {
-            throw std::runtime_error("ring buffer is empty");
-        }
-        return data[first];
-    }
-
-    T & back() {
-        if (sz == 0) {
-            throw std::runtime_error("ring buffer is empty");
-        }
-        return data[pos];
-    }
-
-    const T & back() const {
-        if (sz == 0) {
-            throw std::runtime_error("ring buffer is empty");
-        }
-        return data[pos];
-    }
-
-    void push_back(const T & value) {
-        if (capacity == 0) {
-            throw std::runtime_error("ring buffer: capacity is zero");
-        }
-
-        if (sz == capacity) {
-            // advance the start when buffer is full
-            first = (first + 1) % capacity;
-        } else {
-            sz++;
-        }
-        data[pos] = value;
-        pos = (pos + 1) % capacity;
-    }
-
-    T pop_front() {
-        if (sz == 0) {
-            throw std::runtime_error("ring buffer is empty");
-        }
-        T value = data[first];
-        first = (first + 1) % capacity;
-        sz--;
-        return value;
-    }
-
-    //T & operator[](size_t i) {
-    //    if (i >= sz) {
-    //        throw std::runtime_error("ring buffer: index out of bounds");
-    //    }
-    //    return data[(first + i) % capacity];
-    //}
-
-    //const T & at(size_t i) const {
-    //    if (i >= sz) {
-    //        throw std::runtime_error("ring buffer: index out of bounds");
-    //    }
-    //    return data[(first + i) % capacity];
-    //}
-
-    const T & rat(size_t i) const {
-        if (i >= sz) {
-            throw std::runtime_error("ring buffer: index out of bounds");
-        }
-        return data[(first + sz - i - 1) % capacity];
-    }
-
-    std::vector<T> to_vector() const {
-        std::vector<T> result;
-        result.reserve(sz);
-        for (size_t i = 0; i < sz; i++) {
-            result.push_back(data[(first + i) % capacity]);
-        }
-        return result;
-    }
-
-    void clear() {
-        // here only reset the status of the buffer
-        sz = 0;
-        first = 0;
-        pos = 0;
-    }
-
-    bool empty() const {
-        return sz == 0;
-    }
-
-    size_t size() const {
-        return sz;
-    }
-
-    size_t capacity = 0;
-    size_t sz = 0;
-    size_t first = 0;
-    size_t pos = 0;
-    std::vector<T> data;
-};

examples/talk-llama/llama-sampling.h

@@ -1,48 +0,0 @@
-#pragma once
-
-// TODO: rename llama-sampling.h/.cpp to llama-sampler.h/.cpp ?
-
-#include "llama-grammar.h"
-
-struct llama_vocab;
-struct llama_grammar;
-
-// sampler chain
-
-struct llama_sampler_chain {
-    llama_sampler_chain_params params;
-
-    std::vector<struct llama_sampler *> samplers;
-
-    // timing
-
-    mutable int64_t t_sample_us;
-
-    mutable int32_t n_sample;
-};
-
-struct llama_sampler * llama_sampler_init_grammar_impl(
-        const struct llama_vocab & vocab,
-                      const char * grammar_str,
-                      const char * grammar_root);
-
-struct llama_sampler * llama_sampler_init_infill_impl(
-        const struct llama_vocab & vocab);
-
-struct llama_sampler * llama_sampler_init_dry_impl(
-        const struct llama_vocab &  vocab,
-                         int32_t    context_size,
-                           float    dry_multiplier,
-                           float    dry_base,
-                         int32_t    dry_allowed_length,
-                         int32_t    dry_penalty_last_n,
-                      const char ** seq_breakers,
-                          size_t    num_breakers);
-
-struct llama_sampler * llama_sampler_init_dry_testing(
-                         int32_t   context_size,
-                           float   dry_multiplier,
-                           float   dry_base,
-                         int32_t   dry_allowed_length,
-                         int32_t   dry_penalty_last_n,
-  const std::vector<std::vector<llama_token>>& seq_breakers);

examples/talk-llama/llama-vocab.h

@@ -1,170 +0,0 @@
-#pragma once
-
-#include "llama-impl.h"
-
-#include <string>
-#include <vector>
-#include <unordered_map>
-#include <map>
-#include <set>
-
-struct llm_tokenizer;
-
-struct llama_vocab {
-    using id    = llama_token;
-    using token = std::string;
-    using tattr = llama_token_attr;
-
-    struct token_data {
-        token text;
-        float score;
-        tattr attr;
-    };
-
-    uint32_t n_vocab = 0; // TODO: not great because has to keep in sync with hparams.n_vocab
-
-    enum llama_vocab_type     type     = LLAMA_VOCAB_TYPE_SPM;
-    enum llama_vocab_pre_type type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
-
-    int max_token_len = 0; // used for optimizing longest token search
-
-    std::unordered_map<token, id> token_to_id;
-    std::vector<token_data>       id_to_token;
-
-    std::vector<id>    cache_special_tokens;
-    std::vector<token> cache_token_to_piece; // llama_token_to_piece(special = true);
-
-    std::map<std::pair<std::string, std::string>, int> bpe_ranks;
-
-    // default LLaMA special tokens
-    // TODO: should we set all of these to LLAMA_TOKEN_NULL?
-    id special_bos_id  = 1;
-    id special_eos_id  = 2;
-    id special_eot_id  = LLAMA_TOKEN_NULL;
-    id special_eom_id  = LLAMA_TOKEN_NULL;
-    id special_unk_id  = 0;
-    id special_sep_id  = LLAMA_TOKEN_NULL;
-    id special_pad_id  = LLAMA_TOKEN_NULL;
-    id special_cls_id  = LLAMA_TOKEN_NULL;
-    id special_mask_id = LLAMA_TOKEN_NULL;
-
-    id linefeed_id = 13;
-
-    // fim tokens
-    id special_fim_pre_id = LLAMA_TOKEN_NULL;
-    id special_fim_suf_id = LLAMA_TOKEN_NULL;
-    id special_fim_mid_id = LLAMA_TOKEN_NULL;
-    id special_fim_pad_id = LLAMA_TOKEN_NULL;
-    id special_fim_rep_id = LLAMA_TOKEN_NULL; // repo
-    id special_fim_sep_id = LLAMA_TOKEN_NULL; // file separator
-
-    // set of all tokens that cause "end of generation"
-    std::set<id> special_eog_ids;
-
-    // tokenizer flags
-    bool tokenizer_add_space_prefix           = false;
-    bool tokenizer_add_bos                    = false;
-    bool tokenizer_add_eos                    = false;
-    bool tokenizer_ignore_merges              = false;
-    bool tokenizer_clean_spaces               = false;  // clean_up_tokenization_spaces
-    bool tokenizer_remove_extra_whitespaces   = false;
-    bool tokenizer_escape_whitespaces         = true;
-    bool tokenizer_treat_whitespace_as_suffix = false;
-
-    std::vector<char> precompiled_charsmap;
-
-    llm_tokenizer * tokenizer = nullptr;
-
-    llama_vocab() = default;
-    ~llama_vocab();
-
-    int find_bpe_rank(const std::string & token_left, const std::string & token_right) const;
-
-    void init_tokenizer();
-};
-
-//
-// internal API
-//
-
-// TODO: rename to llama_tokenize_impl
-// TODO: This should probably be in llama.h
-std::vector<llama_vocab::id> llama_tokenize_internal(
-        const llama_vocab & vocab,
-        std::string raw_text,
-        bool add_special,
-        bool parse_special = false);
-
-// TODO: move the API below as member functions of llama_vocab
-llama_token llama_byte_to_token_impl(const llama_vocab & vocab, uint8_t ch);
-
-const char * llama_token_get_text_impl(const struct llama_vocab & vocab, llama_token token);
-
-float llama_token_get_score_impl(const struct llama_vocab & vocab, llama_token token);
-
-llama_token_attr llama_token_get_attr_impl(const struct llama_vocab & vocab, llama_token token);
-
-bool llama_token_is_eog_impl(const struct llama_vocab & vocab, llama_token token);
-
-bool llama_token_is_control_impl(const struct llama_vocab & vocab, llama_token token);
-
-llama_token llama_token_bos_impl(const struct llama_vocab & vocab);
-llama_token llama_token_eos_impl(const struct llama_vocab & vocab);
-llama_token llama_token_eot_impl(const struct llama_vocab & vocab);
-llama_token llama_token_eom_impl(const struct llama_vocab & vocab);
-llama_token llama_token_cls_impl(const struct llama_vocab & vocab);
-llama_token llama_token_sep_impl(const struct llama_vocab & vocab);
-llama_token llama_token_nl_impl (const struct llama_vocab & vocab);
-llama_token llama_token_pad_impl(const struct llama_vocab & vocab);
-
-llama_token llama_token_prefix_impl(const struct llama_vocab & vocab);
-llama_token llama_token_middle_impl(const struct llama_vocab & vocab);
-llama_token llama_token_suffix_impl(const struct llama_vocab & vocab);
-
-llama_token llama_token_fim_pre_impl(const struct llama_vocab & vocab);
-llama_token llama_token_fim_suf_impl(const struct llama_vocab & vocab);
-llama_token llama_token_fim_mid_impl(const struct llama_vocab & vocab);
-llama_token llama_token_fim_pad_impl(const struct llama_vocab & vocab);
-llama_token llama_token_fim_rep_impl(const struct llama_vocab & vocab);
-llama_token llama_token_fim_sep_impl(const struct llama_vocab & vocab);
-
-bool llama_add_bos_token_impl(const struct llama_vocab & vocab);
-bool llama_add_eos_token_impl(const struct llama_vocab & vocab);
-
-int32_t llama_tokenize_impl(
-        const struct llama_vocab & vocab,
-                      const char * text,
-                         int32_t   text_len,
-                     llama_token * tokens,
-                         int32_t   n_tokens_max,
-                            bool   add_special,
-                            bool   parse_special);
-
-// does not write null-terminator to buf
-int32_t llama_token_to_piece_impl(
-        const struct llama_vocab & vocab,
-                     llama_token   token,
-                            char * buf,
-                         int32_t   length,
-                         int32_t   lstrip,
-                            bool   special);
-
-// check if token0 is contained as a prefix in token1
-bool llama_token_is_prefix_impl(
-        const struct llama_vocab & vocab,
-                     llama_token   token0,
-                     llama_token   token1);
-
-int32_t llama_detokenize_impl(
-        const struct llama_vocab & vocab,
-               const llama_token * tokens,
-                         int32_t   n_tokens,
-                            char * text,
-                         int32_t   text_len_max,
-                            bool   remove_special,
-                            bool   unparse_special);
-
-std::string llama_detokenize(
-        const struct llama_vocab & vocab,
-  const std::vector<llama_token> & tokens,
-                            bool   special);

examples/talk-llama/talk-llama.cpp

@@ -35,10 +35,10 @@ static std::vector<llama_token> llama_tokenize(struct llama_context * ctx, const
 
 static std::string llama_token_to_piece(const struct llama_context * ctx, llama_token token) {
     std::vector<char> result(8, 0);
-    const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), 0, false);
+    const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), false);
     if (n_tokens < 0) {
         result.resize(-n_tokens);
-        int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), 0, false);
+        int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), false);
         GGML_ASSERT(check == -n_tokens);
     } else {
         result.resize(n_tokens);
@@ -314,6 +314,7 @@ int main(int argc, char ** argv) {
 
     // tune these to your liking
     lcparams.n_ctx      = 2048;
+    lcparams.seed       = 1;
     lcparams.n_threads  = params.n_threads;
     lcparams.flash_attn = params.flash_attn;
 
@@ -401,26 +402,6 @@ int main(int argc, char ** argv) {
 
     llama_batch batch = llama_batch_init(llama_n_ctx(ctx_llama), 0, 1);
 
-    // init sampler
-    const float top_k = 5;
-    const float top_p = 0.80f;
-    const float temp  = 0.30f;
-
-    const int seed = 0;
-
-    auto sparams = llama_sampler_chain_default_params();
-
-    llama_sampler * smpl = llama_sampler_chain_init(sparams);
-
-    if (temp > 0.0f) {
-        llama_sampler_chain_add(smpl, llama_sampler_init_top_k(top_k));
-        llama_sampler_chain_add(smpl, llama_sampler_init_top_p(top_p, 1));
-        llama_sampler_chain_add(smpl, llama_sampler_init_temp (temp));
-        llama_sampler_chain_add(smpl, llama_sampler_init_dist (seed));
-    } else {
-        llama_sampler_chain_add(smpl, llama_sampler_init_greedy());
-    }
-
     // init session
     std::string path_session = params.path_session;
     std::vector<llama_token> session_tokens;
@@ -436,7 +417,7 @@ int main(int argc, char ** argv) {
 
             session_tokens.resize(llama_n_ctx(ctx_llama));
             size_t n_token_count_out = 0;
-            if (!llama_state_load_file(ctx_llama, path_session.c_str(), session_tokens.data(), session_tokens.capacity(), &n_token_count_out)) {
+            if (!llama_load_session_file(ctx_llama, path_session.c_str(), session_tokens.data(), session_tokens.capacity(), &n_token_count_out)) {
                 fprintf(stderr, "%s: error: failed to load session file '%s'\n", __func__, path_session.c_str());
                 return 1;
             }
@@ -719,13 +700,54 @@ int main(int argc, char ** argv) {
 
                     {
                         // out of user input, sample next token
+                        const float top_k          = 5;
+                        const float top_p          = 0.80f;
+                        const float temp           = 0.30f;
+                        const float repeat_penalty = 1.1764f;
+
+                        const int repeat_last_n    = 256;
 
                         if (!path_session.empty() && need_to_save_session) {
                             need_to_save_session = false;
-                            llama_state_save_file(ctx_llama, path_session.c_str(), session_tokens.data(), session_tokens.size());
+                            llama_save_session_file(ctx_llama, path_session.c_str(), session_tokens.data(), session_tokens.size());
                         }
 
-                        const llama_token id = llama_sampler_sample(smpl, ctx_llama, -1);
+                        llama_token id = 0;
+
+                        {
+                            auto logits = llama_get_logits(ctx_llama);
+                            auto n_vocab = llama_n_vocab(model_llama);
+
+                            logits[llama_token_eos(model_llama)] = 0;
+
+                            std::vector<llama_token_data> candidates;
+                            candidates.reserve(n_vocab);
+                            for (llama_token token_id = 0; token_id < n_vocab; token_id++) {
+                                candidates.emplace_back(llama_token_data{token_id, logits[token_id], 0.0f});
+                            }
+
+                            llama_token_data_array candidates_p = { candidates.data(), candidates.size(), false };
+
+                            // apply repeat penalty
+                            const float nl_logit = logits[llama_token_nl(model_llama)];
+
+                            llama_sample_repetition_penalties(ctx_llama, &candidates_p,
+                                    embd_inp.data() + std::max(0, n_past - repeat_last_n),
+                                    repeat_last_n, repeat_penalty, 0.0, 0.0f);
+
+                            logits[llama_token_nl(model_llama)] = nl_logit;
+
+                            if (temp <= 0) {
+                                // Greedy sampling
+                                id = llama_sample_token_greedy(ctx_llama, &candidates_p);
+                            } else {
+                                // Temperature sampling
+                                llama_sample_top_k(ctx_llama, &candidates_p, top_k, 1);
+                                llama_sample_top_p(ctx_llama, &candidates_p, top_p, 1);
+                                llama_sample_temp (ctx_llama, &candidates_p, temp);
+                                id = llama_sample_token(ctx_llama, &candidates_p);
+                            }
+                        }
 
                         if (id != llama_token_eos(model_llama)) {
                             // add it to the context
@@ -775,14 +797,8 @@ int main(int argc, char ** argv) {
     whisper_print_timings(ctx_wsp);
     whisper_free(ctx_wsp);
 
-    llama_perf_sampler_print(smpl);
-    llama_perf_context_print(ctx_llama);
-
-    llama_sampler_free(smpl);
-    llama_batch_free(batch);
+    llama_print_timings(ctx_llama);
     llama_free(ctx_llama);
 
-    llama_backend_free();
-
     return 0;
 }

examples/talk-llama/unicode-data.cpp

@@ -7,7 +7,7 @@
 #include <unordered_map>
 #include <unordered_set>
 
-const std::initializer_list<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // start, flags // last=next_start-1
+const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // start, flags // last=next_start-1
 {0x000000, 0x0080},
 {0x000020, 0x0008},
 {0x000021, 0x0020},
@@ -2311,8 +2311,7 @@ const std::unordered_set<uint32_t> unicode_set_whitespace = {
 0x003000,
 };
 
-// list is always in ascending order, to enable binary search
-const std::initializer_list<std::pair<uint32_t, uint32_t>> unicode_map_lowercase = {
+const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase = {
 {0x000041, 0x000061},
 {0x000042, 0x000062},
 {0x000043, 0x000063},
@@ -3748,8 +3747,7 @@ const std::initializer_list<std::pair<uint32_t, uint32_t>> unicode_map_lowercase
 {0x01E921, 0x01E943},
 };
 
-// list is always in ascending order, to enable binary search
-const std::initializer_list<std::pair<uint32_t, uint32_t>> unicode_map_uppercase = {
+const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x000061, 0x000041},
 {0x000062, 0x000042},
 {0x000063, 0x000043},
@@ -5202,7 +5200,7 @@ const std::initializer_list<std::pair<uint32_t, uint32_t>> unicode_map_uppercase
 {0x01E943, 0x01E921},
 };
 
-const std::initializer_list<range_nfd> unicode_ranges_nfd = {  // start, last, nfd
+const std::vector<range_nfd> unicode_ranges_nfd = {  // start, last, nfd
 {0x000000, 0x000000, 0x000000},
 {0x0000C0, 0x0000C5, 0x000041},
 {0x0000C7, 0x0000C7, 0x000043},
@@ -7032,3 +7030,4 @@ const std::initializer_list<range_nfd> unicode_ranges_nfd = {  // start, last, n
 {0x02FA1C, 0x02FA1C, 0x009F3B},
 {0x02FA1D, 0x02FA1D, 0x02A600},
 };
+

examples/talk-llama/unicode-data.h

@@ -13,8 +13,8 @@ struct range_nfd {
 
 static const uint32_t MAX_CODEPOINTS = 0x110000;
 
-extern const std::initializer_list<std::pair<uint32_t, uint16_t>> unicode_ranges_flags;
+extern const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags;
 extern const std::unordered_set<uint32_t> unicode_set_whitespace;
-extern const std::initializer_list<std::pair<uint32_t, uint32_t>> unicode_map_lowercase;
-extern const std::initializer_list<std::pair<uint32_t, uint32_t>> unicode_map_uppercase;
-extern const std::initializer_list<range_nfd> unicode_ranges_nfd;
+extern const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase;
+extern const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase;
+extern const std::vector<range_nfd> unicode_ranges_nfd;

examples/talk-llama/unicode.cpp

@@ -1,11 +1,6 @@
-#if defined(_MSC_VER)
-#define _SILENCE_CXX17_CODECVT_HEADER_DEPRECATION_WARNING
-#endif
-
 #include "unicode.h"
 #include "unicode-data.h"
 
-#include <algorithm>
 #include <cassert>
 #include <cstddef>
 #include <cstdint>
@@ -20,12 +15,6 @@
 #include <locale>
 #include <codecvt>
 
-size_t unicode_len_utf8(char src) {
-    const size_t lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4 };
-    uint8_t highbits = static_cast<uint8_t>(src) >> 4;
-    return lookup[highbits];
-}
-
 static std::string unicode_cpts_to_utf8(const std::vector<uint32_t> & cps) {
     std::string result;
     for (size_t i = 0; i < cps.size(); ++i) {
@@ -34,7 +23,7 @@ static std::string unicode_cpts_to_utf8(const std::vector<uint32_t> & cps) {
     return result;
 }
 
-uint32_t unicode_cpt_from_utf8(const std::string & utf8, size_t & offset) {
+static uint32_t unicode_cpt_from_utf8(const std::string & utf8, size_t & offset) {
     assert(offset < utf8.size());
     if (!(utf8[offset + 0] & 0x80)) {
         auto result = utf8[offset + 0];
@@ -123,11 +112,11 @@ uint32_t unicode_cpt_from_utf8(const std::string & utf8, size_t & offset) {
 static std::vector<codepoint_flags> unicode_cpt_flags_array() {
     std::vector<codepoint_flags> cpt_flags(MAX_CODEPOINTS, codepoint_flags::UNDEFINED);
 
-    assert (unicode_ranges_flags.begin()[0].first == 0);
-    assert (unicode_ranges_flags.begin()[unicode_ranges_flags.size()-1].first == MAX_CODEPOINTS);
+    assert (unicode_ranges_flags.front().first == 0);
+    assert (unicode_ranges_flags.back().first == MAX_CODEPOINTS);
     for (size_t i = 1; i < unicode_ranges_flags.size(); ++i) {
-        const auto range_ini = unicode_ranges_flags.begin()[i-1];  // codepoint_ini, flags
-        const auto range_end = unicode_ranges_flags.begin()[i];    // codepoint_end, flags
+        const auto range_ini = unicode_ranges_flags[i-1];  // codepoint_ini, flags
+        const auto range_end = unicode_ranges_flags[i];    // codepoint_end, flags
         for (uint32_t cpt = range_ini.first; cpt < range_end.first; ++cpt) {
             cpt_flags[cpt] = range_ini.second;
         }
@@ -201,18 +190,7 @@ static std::unordered_map<std::string, uint8_t> unicode_utf8_to_byte_map() {
 }
 
 static inline std::wstring unicode_wstring_from_utf8(const std::string & s) {
-#if defined(__clang__)
-    // disable C++17 deprecation warning for std::codecvt_utf8
-#    pragma clang diagnostic push
-#    pragma clang diagnostic ignored "-Wdeprecated-declarations"
-#endif
-
     std::wstring_convert<std::codecvt_utf8<wchar_t>> conv;
-
-#if defined(__clang__)
-#    pragma clang diagnostic pop
-#endif
-
     return conv.from_bytes(s);
 }
 
@@ -254,7 +232,8 @@ static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & t
         };
 
         auto _get_flags = [&] (const size_t pos) -> codepoint_flags {
-            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_flags(cpts[pos]) : codepoint_flags{};
+            static const codepoint_flags undef(codepoint_flags::UNDEFINED);
+            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_flags(cpts[pos]) : undef;
         };
 
         size_t _prev_end = offset_ini;
@@ -316,9 +295,9 @@ static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & t
                 continue;
             }
             // regex: <space>?[^\s\p{L}\p{N}]+
-            if (!(flags2.is_whitespace | flags2.is_letter | flags2.is_number) && flags2.as_uint()) {
+            if (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) {
                 pos += (cpt == ' ');
-                while (!(flags2.is_whitespace | flags2.is_letter | flags2.is_number) && flags2.as_uint()) {
+                while (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) {
                     flags2 = _get_flags(++pos);
                 }
                 _add_token(pos);
@@ -372,7 +351,8 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
         };
 
         auto _get_flags = [&] (const size_t pos) -> codepoint_flags {
-            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_flags(cpts[pos]) : codepoint_flags{};
+            static const codepoint_flags undef(codepoint_flags::UNDEFINED);
+            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_flags(cpts[pos]) : undef;
         };
 
         size_t _prev_end = offset_ini;
@@ -414,8 +394,8 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
                 }
             }
 
-            // regex: [^\r\n\p{L}\p{N}]?\p{L}+
-            if (!(cpt == '\r' || cpt == '\n' || flags.is_number)) {
+            // regex: [^\r\n\p{L}\p{N}]?\p{L}+  //####FIXME: the first \p{L} is correct?
+            if (!(cpt == '\r' || cpt == '\n' || /*flags.is_letter |*/ flags.is_number)) {
                 if (flags.is_letter || _get_flags(pos+1).is_letter) {  // one or more letters
                     pos++;
                     while (_get_flags(pos).is_letter) {
@@ -441,9 +421,9 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
 
             // regex: <space>?[^\s\p{L}\p{N}]+[\r\n]*
             auto flags2 = (cpt == ' ' ? _get_flags(pos+1) : flags);
-            if (!(flags2.is_whitespace | flags2.is_letter | flags2.is_number) && flags.as_uint()) {
+            if (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) {
                 pos += (cpt == ' ');
-                while (!(flags2.is_whitespace | flags2.is_letter | flags2.is_number) && flags2.as_uint()) {
+                while (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) {
                     flags2 = _get_flags(++pos);
                 }
                 uint32_t cpt2 = _get_cpt(pos);
@@ -608,7 +588,7 @@ std::vector<uint32_t> unicode_cpts_normalize_nfd(const std::vector<uint32_t> & c
     std::vector<uint32_t> result(cpts.size());
     for (size_t i = 0; i < cpts.size(); ++i) {
         const uint32_t cpt = cpts[i];
-        auto it = std::upper_bound(unicode_ranges_nfd.begin(), unicode_ranges_nfd.end(), cpt, comp) - 1;
+        auto it = std::upper_bound(unicode_ranges_nfd.cbegin(), unicode_ranges_nfd.cend(), cpt, comp) - 1;
         result[i] = (it->first <= cpt && cpt <= it->last) ? it->nfd : cpt;
     }
     return result;
@@ -650,15 +630,8 @@ uint8_t unicode_utf8_to_byte(const std::string & utf8) {
 }
 
 uint32_t unicode_tolower(uint32_t cp) {
-    // binary search
-    auto it = std::lower_bound(unicode_map_lowercase.begin(), unicode_map_lowercase.end(), cp,
-        [](const std::pair<uint32_t, uint32_t> & pair, uint32_t value) {
-            return pair.first < value;
-        });
-    if (it != unicode_map_lowercase.end() && it->first == cp) {
-        return it->second;
-    }
-    return cp;  // Return the original code point if no lowercase mapping is found
+    auto it = unicode_map_lowercase.find(cp);
+    return it == unicode_map_lowercase.end() ? cp : it->second;
 }
 
 std::vector<std::string> unicode_regex_split(const std::string & text, const std::vector<std::string> & regex_exprs) {

examples/talk-llama/unicode.h

@@ -4,8 +4,6 @@
 #include <string>
 #include <vector>
 
-// TODO: prefix all symbols with "llama_"
-
 struct codepoint_flags {
     enum {
         UNDEFINED       = 0x0001,
@@ -48,10 +46,8 @@ struct codepoint_flags {
     }
 };
 
-size_t unicode_len_utf8(char src);
 
 std::string unicode_cpt_to_utf8(uint32_t cp);
-uint32_t unicode_cpt_from_utf8(const std::string & utf8, size_t & offset);
 std::vector<uint32_t> unicode_cpts_from_utf8(const std::string & utf8);
 
 std::vector<uint32_t> unicode_cpts_normalize_nfd(const std::vector<uint32_t> & cpts);

examples/twitch.sh

@@ -21,7 +21,7 @@ help()
     echo "Usage: ./twitch.sh -s [step] -m [model] -t [threads] [url]"
     echo "options:"
     echo "-s       Step in seconds (default is $step)."
-    echo "-m       Choose model, options are: 'tiny.en' 'tiny' 'base.en' 'base' 'small.en' 'small' 'medium.en' 'medium' 'large-v1' 'large-v2' 'large-v3' 'large-v3-turbo' (default is '$model')."
+    echo "-m       Choose model, options are: 'tiny.en' 'tiny' 'base.en' 'base' 'small.en' 'small' 'medium.en' 'medium' 'large-v1' 'large-v2' 'large-v3' (default is '$model')."
     echo "-t       Number of threads to use."
     echo "-h       Print this help page."
     echo

examples/whisper.android.java/app/src/main/jni/whisper/CMakeLists.txt

@@ -7,9 +7,8 @@ set(WHISPER_LIB_DIR ${CMAKE_SOURCE_DIR}/../../../../../../../)
 
 set(SOURCE_FILES
     ${WHISPER_LIB_DIR}/ggml/src/ggml.c
-    ${WHISPER_LIB_DIR}/ggml/src/ggml-aarch64.c
     ${WHISPER_LIB_DIR}/ggml/src/ggml-alloc.c
-    ${WHISPER_LIB_DIR}/ggml/src/ggml-backend.cpp
+    ${WHISPER_LIB_DIR}/ggml/src/ggml-backend.c
     ${WHISPER_LIB_DIR}/ggml/src/ggml-quants.c
     ${WHISPER_LIB_DIR}/src/whisper.cpp
     ${CMAKE_SOURCE_DIR}/jni.c

examples/whisper.android/lib/src/main/jni/whisper/CMakeLists.txt

@@ -2,11 +2,11 @@ cmake_minimum_required(VERSION 3.10)
 
 project(whisper.cpp)
 
-set(CMAKE_CXX_STANDARD 17)
+set(CMAKE_CXX_STANDARD 11)
 set(WHISPER_LIB_DIR ${CMAKE_SOURCE_DIR}/../../../../../../..)
 
 # Path to external GGML, otherwise uses the copy in whisper.cpp.
-option(GGML_HOME "whisper: Path to external GGML source" OFF)
+option(GGML_HOME       "whisper: Path to external GGML source" OFF)
 
 set(
     SOURCE_FILES
@@ -14,23 +14,14 @@ set(
     ${CMAKE_SOURCE_DIR}/jni.c
     )
 
-# TODO: this needs to be updated to work with the new ggml CMakeLists
-
 if (NOT GGML_HOME)
     set(
         SOURCE_FILES
         ${SOURCE_FILES}
         ${WHISPER_LIB_DIR}/ggml/src/ggml.c
-        ${WHISPER_LIB_DIR}/ggml/src/ggml-aarch64.c
         ${WHISPER_LIB_DIR}/ggml/src/ggml-alloc.c
-        ${WHISPER_LIB_DIR}/ggml/src/ggml-backend.cpp
-        ${WHISPER_LIB_DIR}/ggml/src/ggml-backend-reg.cpp
+        ${WHISPER_LIB_DIR}/ggml/src/ggml-backend.c
         ${WHISPER_LIB_DIR}/ggml/src/ggml-quants.c
-        ${WHISPER_LIB_DIR}/ggml/src/ggml-threading.cpp
-        ${WHISPER_LIB_DIR}/ggml/src/ggml-cpu/ggml-cpu.c
-        ${WHISPER_LIB_DIR}/ggml/src/ggml-cpu/ggml-cpu.cpp
-        ${WHISPER_LIB_DIR}/ggml/src/ggml-cpu/ggml-cpu-aarch64.c
-        ${WHISPER_LIB_DIR}/ggml/src/ggml-cpu/ggml-cpu-quants.c
         )
 endif()
 

examples/whisper.objc/whisper.objc.xcodeproj/project.pbxproj

@@ -7,7 +7,6 @@
 	objects = {
 
 /* Begin PBXBuildFile section */
-		18133C802C64E342005CEAAC /* ggml-aarch64.c in Sources */ = {isa = PBXBuildFile; fileRef = 18133C7F2C64E342005CEAAC /* ggml-aarch64.c */; };
 		1844471A2AB211A2007D6BFE /* ggml-alloc.c in Sources */ = {isa = PBXBuildFile; fileRef = 184447182AB211A2007D6BFE /* ggml-alloc.c */; };
 		1844471C2AB21655007D6BFE /* ggml-metal.m in Sources */ = {isa = PBXBuildFile; fileRef = 1844471B2AB21655007D6BFE /* ggml-metal.m */; settings = {COMPILER_FLAGS = "-framework Foundation -framework Metal -framework MetalKit -fno-objc-arc"; }; };
 		18627C7B29052BDF00BD2A04 /* AppDelegate.m in Sources */ = {isa = PBXBuildFile; fileRef = 18627C7A29052BDF00BD2A04 /* AppDelegate.m */; };
@@ -22,14 +21,8 @@
 		18627C9B29052CFF00BD2A04 /* ggml-base.en.bin in Resources */ = {isa = PBXBuildFile; fileRef = 18627C9A29052CFF00BD2A04 /* ggml-base.en.bin */; };
 		18A276062C2A98A5001C8D37 /* ggml-metal.metal in Copy Files */ = {isa = PBXBuildFile; fileRef = 1844471D2AB2195F007D6BFE /* ggml-metal.metal */; };
 		18A2760B2C2A9B43001C8D37 /* ggml-metal.metal in Resources */ = {isa = PBXBuildFile; fileRef = 1844471D2AB2195F007D6BFE /* ggml-metal.metal */; };
-		18ABE15A2AF556340044A204 /* ggml-backend.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 18ABE1572AF556340044A204 /* ggml-backend.cpp */; };
+		18ABE15A2AF556340044A204 /* ggml-backend.c in Sources */ = {isa = PBXBuildFile; fileRef = 18ABE1572AF556340044A204 /* ggml-backend.c */; };
 		18ABE15B2AF556340044A204 /* ggml-quants.c in Sources */ = {isa = PBXBuildFile; fileRef = 18ABE1592AF556340044A204 /* ggml-quants.c */; };
-		18E864A92CE73C1E0094B8B3 /* ggml-cpu.c in Sources */ = {isa = PBXBuildFile; fileRef = 18E864A82CE73C1E0094B8B3 /* ggml-cpu.c */; };
-		18F8C0BC2CEDF4DC00CAD607 /* ggml-threading.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 18F8C0BB2CEDF4DC00CAD607 /* ggml-threading.cpp */; };
-		18F8C0BE2CEDF50700CAD607 /* ggml-cpu.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 18F8C0BD2CEDF50700CAD607 /* ggml-cpu.cpp */; };
-		18F8C0C42CEDF52700CAD607 /* ggml-cpu-aarch64.c in Sources */ = {isa = PBXBuildFile; fileRef = 18F8C0C02CEDF52700CAD607 /* ggml-cpu-aarch64.c */; };
-		18F8C0C52CEDF52700CAD607 /* ggml-cpu-quants.c in Sources */ = {isa = PBXBuildFile; fileRef = 18F8C0C32CEDF52700CAD607 /* ggml-cpu-quants.c */; };
-		18F8C0C72CEDF7AB00CAD607 /* ggml-backend-reg.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 18F8C0C62CEDF7AB00CAD607 /* ggml-backend-reg.cpp */; };
 		7FE3424B2A0C3FA20015A058 /* whisper-encoder-impl.m in Sources */ = {isa = PBXBuildFile; fileRef = 7FE342452A0C3FA20015A058 /* whisper-encoder-impl.m */; };
 		7FE3424C2A0C3FA20015A058 /* whisper-encoder.mm in Sources */ = {isa = PBXBuildFile; fileRef = 7FE342472A0C3FA20015A058 /* whisper-encoder.mm */; };
 		7FE3424D2A0C3FA20015A058 /* whisper-decoder-impl.m in Sources */ = {isa = PBXBuildFile; fileRef = 7FE3424A2A0C3FA20015A058 /* whisper-decoder-impl.m */; };
@@ -51,12 +44,10 @@
 /* End PBXCopyFilesBuildPhase section */
 
 /* Begin PBXFileReference section */
-		18133C7E2C64E342005CEAAC /* ggml-aarch64.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "ggml-aarch64.h"; path = "../../../ggml/src/ggml-aarch64.h"; sourceTree = "<group>"; };
-		18133C7F2C64E342005CEAAC /* ggml-aarch64.c */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.c; name = "ggml-aarch64.c"; path = "../../../ggml/src/ggml-aarch64.c"; sourceTree = "<group>"; };
 		184447182AB211A2007D6BFE /* ggml-alloc.c */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.c; name = "ggml-alloc.c"; path = "../../../ggml/src/ggml-alloc.c"; sourceTree = "<group>"; };
 		184447192AB211A2007D6BFE /* ggml-alloc.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "ggml-alloc.h"; path = "../../../ggml/include/ggml-alloc.h"; sourceTree = "<group>"; };
-		1844471B2AB21655007D6BFE /* ggml-metal.m */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.objc; name = "ggml-metal.m"; path = "../../../ggml/src/ggml-metal/ggml-metal.m"; sourceTree = "<group>"; };
-		1844471D2AB2195F007D6BFE /* ggml-metal.metal */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.metal; name = "ggml-metal.metal"; path = "../../../ggml/src/ggml-metal/ggml-metal.metal"; sourceTree = "<group>"; };
+		1844471B2AB21655007D6BFE /* ggml-metal.m */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.objc; name = "ggml-metal.m"; path = "../../../ggml/src/ggml-metal.m"; sourceTree = "<group>"; };
+		1844471D2AB2195F007D6BFE /* ggml-metal.metal */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.metal; name = "ggml-metal.metal"; path = "../../../ggml/src/ggml-metal.metal"; sourceTree = "<group>"; };
 		18627C7629052BDF00BD2A04 /* whisper.objc.app */ = {isa = PBXFileReference; explicitFileType = wrapper.application; includeInIndex = 0; path = whisper.objc.app; sourceTree = BUILT_PRODUCTS_DIR; };
 		18627C7929052BDF00BD2A04 /* AppDelegate.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; path = AppDelegate.h; sourceTree = "<group>"; };
 		18627C7A29052BDF00BD2A04 /* AppDelegate.m */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.objc; path = AppDelegate.m; sourceTree = "<group>"; };
@@ -79,20 +70,9 @@
 		18ABE1542AF556340044A204 /* ggml-quants.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "ggml-quants.h"; path = "../../../ggml/src/ggml-quants.h"; sourceTree = "<group>"; };
 		18ABE1552AF556340044A204 /* ggml-backend.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "ggml-backend.h"; path = "../../../ggml/include/ggml-backend.h"; sourceTree = "<group>"; };
 		18ABE1562AF556340044A204 /* ggml-backend-impl.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "ggml-backend-impl.h"; path = "../../../ggml/src/ggml-backend-impl.h"; sourceTree = "<group>"; };
-		18ABE1572AF556340044A204 /* ggml-backend.cpp */ = {isa = PBXFileReference; explicitFileType = sourcecode.cpp.cpp; fileEncoding = 4; name = "ggml-backend.cpp"; path = "../../../ggml/src/ggml-backend.cpp"; sourceTree = "<group>"; };
+		18ABE1572AF556340044A204 /* ggml-backend.c */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.c; name = "ggml-backend.c"; path = "../../../ggml/src/ggml-backend.c"; sourceTree = "<group>"; };
 		18ABE1582AF556340044A204 /* ggml-impl.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "ggml-impl.h"; path = "../../../ggml/src/ggml-impl.h"; sourceTree = "<group>"; };
 		18ABE1592AF556340044A204 /* ggml-quants.c */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.c; name = "ggml-quants.c"; path = "../../../ggml/src/ggml-quants.c"; sourceTree = "<group>"; };
-		18E864A82CE73C1E0094B8B3 /* ggml-cpu.c */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.c; name = "ggml-cpu.c"; path = "../../../ggml/src/ggml-cpu/ggml-cpu.c"; sourceTree = "<group>"; };
-		18E864AA2CE73C580094B8B3 /* ggml-cpu.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = "ggml-cpu.h"; path = "../../../ggml/include/ggml-cpu.h"; sourceTree = "<group>"; };
-		18F8C0BA2CEDF4DC00CAD607 /* ggml-threading.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = "ggml-threading.h"; path = "../../../ggml/src/ggml-threading.h"; sourceTree = "<group>"; };
-		18F8C0BB2CEDF4DC00CAD607 /* ggml-threading.cpp */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.cpp.cpp; name = "ggml-threading.cpp"; path = "../../../ggml/src/ggml-threading.cpp"; sourceTree = "<group>"; };
-		18F8C0BD2CEDF50700CAD607 /* ggml-cpu.cpp */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.cpp.cpp; name = "ggml-cpu.cpp"; path = "../../../ggml/src/ggml-cpu/ggml-cpu.cpp"; sourceTree = "<group>"; };
-		18F8C0BF2CEDF52700CAD607 /* ggml-cpu-aarch64.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = "ggml-cpu-aarch64.h"; path = "../../../ggml/src/ggml-cpu/ggml-cpu-aarch64.h"; sourceTree = "<group>"; };
-		18F8C0C02CEDF52700CAD607 /* ggml-cpu-aarch64.c */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.c; name = "ggml-cpu-aarch64.c"; path = "../../../ggml/src/ggml-cpu/ggml-cpu-aarch64.c"; sourceTree = "<group>"; };
-		18F8C0C12CEDF52700CAD607 /* ggml-cpu-impl.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = "ggml-cpu-impl.h"; path = "../../../ggml/src/ggml-cpu/ggml-cpu-impl.h"; sourceTree = "<group>"; };
-		18F8C0C22CEDF52700CAD607 /* ggml-cpu-quants.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = "ggml-cpu-quants.h"; path = "../../../ggml/src/ggml-cpu/ggml-cpu-quants.h"; sourceTree = "<group>"; };
-		18F8C0C32CEDF52700CAD607 /* ggml-cpu-quants.c */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.c; name = "ggml-cpu-quants.c"; path = "../../../ggml/src/ggml-cpu/ggml-cpu-quants.c"; sourceTree = "<group>"; };
-		18F8C0C62CEDF7AB00CAD607 /* ggml-backend-reg.cpp */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.cpp.cpp; name = "ggml-backend-reg.cpp"; path = "../../../ggml/src/ggml-backend-reg.cpp"; sourceTree = "<group>"; };
 		7FE342452A0C3FA20015A058 /* whisper-encoder-impl.m */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.objc; path = "whisper-encoder-impl.m"; sourceTree = "<group>"; };
 		7FE342462A0C3FA20015A058 /* whisper-encoder.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = "whisper-encoder.h"; sourceTree = "<group>"; };
 		7FE342472A0C3FA20015A058 /* whisper-encoder.mm */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.cpp.objcpp; path = "whisper-encoder.mm"; sourceTree = "<group>"; };
@@ -132,23 +112,10 @@
 		18627C7829052BDF00BD2A04 /* whisper.objc */ = {
 			isa = PBXGroup;
 			children = (
-				18F8C0C62CEDF7AB00CAD607 /* ggml-backend-reg.cpp */,
-				18F8C0BF2CEDF52700CAD607 /* ggml-cpu-aarch64.h */,
-				18F8C0C02CEDF52700CAD607 /* ggml-cpu-aarch64.c */,
-				18F8C0C12CEDF52700CAD607 /* ggml-cpu-impl.h */,
-				18F8C0C22CEDF52700CAD607 /* ggml-cpu-quants.h */,
-				18F8C0C32CEDF52700CAD607 /* ggml-cpu-quants.c */,
-				18F8C0BD2CEDF50700CAD607 /* ggml-cpu.cpp */,
-				18F8C0BA2CEDF4DC00CAD607 /* ggml-threading.h */,
-				18F8C0BB2CEDF4DC00CAD607 /* ggml-threading.cpp */,
-				18E864AA2CE73C580094B8B3 /* ggml-cpu.h */,
-				18E864A82CE73C1E0094B8B3 /* ggml-cpu.c */,
-				18133C7F2C64E342005CEAAC /* ggml-aarch64.c */,
-				18133C7E2C64E342005CEAAC /* ggml-aarch64.h */,
 				18A275FF2C2A9563001C8D37 /* ggml-common.h */,
 				18A275FE2C2A94DE001C8D37 /* ggml-metal.h */,
 				18ABE1562AF556340044A204 /* ggml-backend-impl.h */,
-				18ABE1572AF556340044A204 /* ggml-backend.cpp */,
+				18ABE1572AF556340044A204 /* ggml-backend.c */,
 				18ABE1552AF556340044A204 /* ggml-backend.h */,
 				18ABE1582AF556340044A204 /* ggml-impl.h */,
 				18ABE1592AF556340044A204 /* ggml-quants.c */,
@@ -269,22 +236,15 @@
 			files = (
 				18627C8129052BDF00BD2A04 /* ViewController.m in Sources */,
 				18ABE15B2AF556340044A204 /* ggml-quants.c in Sources */,
-				18133C802C64E342005CEAAC /* ggml-aarch64.c in Sources */,
 				7FE3424C2A0C3FA20015A058 /* whisper-encoder.mm in Sources */,
 				18627C9429052C4900BD2A04 /* whisper.cpp in Sources */,
 				18627C9629052C5800BD2A04 /* ggml.c in Sources */,
 				18627C7B29052BDF00BD2A04 /* AppDelegate.m in Sources */,
 				7FE3424D2A0C3FA20015A058 /* whisper-decoder-impl.m in Sources */,
-				18F8C0C72CEDF7AB00CAD607 /* ggml-backend-reg.cpp in Sources */,
-				18F8C0BE2CEDF50700CAD607 /* ggml-cpu.cpp in Sources */,
 				1844471A2AB211A2007D6BFE /* ggml-alloc.c in Sources */,
-				18F8C0C42CEDF52700CAD607 /* ggml-cpu-aarch64.c in Sources */,
-				18F8C0C52CEDF52700CAD607 /* ggml-cpu-quants.c in Sources */,
-				18E864A92CE73C1E0094B8B3 /* ggml-cpu.c in Sources */,
-				18ABE15A2AF556340044A204 /* ggml-backend.cpp in Sources */,
+				18ABE15A2AF556340044A204 /* ggml-backend.c in Sources */,
 				18627C8C29052BE000BD2A04 /* main.m in Sources */,
 				18627C7E29052BDF00BD2A04 /* SceneDelegate.m in Sources */,
-				18F8C0BC2CEDF4DC00CAD607 /* ggml-threading.cpp in Sources */,
 				1844471C2AB21655007D6BFE /* ggml-metal.m in Sources */,
 				7FE3424B2A0C3FA20015A058 /* whisper-encoder-impl.m in Sources */,
 			);
@@ -363,7 +323,6 @@
 				GCC_WARN_UNINITIALIZED_AUTOS = YES_AGGRESSIVE;
 				GCC_WARN_UNUSED_FUNCTION = YES;
 				GCC_WARN_UNUSED_VARIABLE = YES;
-				HEADER_SEARCH_PATHS = ../../../ggml/src/;
 				IPHONEOS_DEPLOYMENT_TARGET = 16.0;
 				MTL_ENABLE_DEBUG_INFO = INCLUDE_SOURCE;
 				MTL_FAST_MATH = YES;
@@ -417,7 +376,6 @@
 				GCC_WARN_UNINITIALIZED_AUTOS = YES_AGGRESSIVE;
 				GCC_WARN_UNUSED_FUNCTION = YES;
 				GCC_WARN_UNUSED_VARIABLE = YES;
-				HEADER_SEARCH_PATHS = ../../../ggml/src/;
 				IPHONEOS_DEPLOYMENT_TARGET = 16.0;
 				MTL_ENABLE_DEBUG_INFO = NO;
 				MTL_FAST_MATH = YES;
@@ -440,7 +398,6 @@
 				DEVELOPMENT_TEAM = P8JZH34X63;
 				GCC_WARN_64_TO_32_BIT_CONVERSION = NO;
 				GENERATE_INFOPLIST_FILE = YES;
-				HEADER_SEARCH_PATHS = ../../../ggml/src/;
 				INFOPLIST_FILE = whisper.objc/Info.plist;
 				INFOPLIST_KEY_UIApplicationSupportsIndirectInputEvents = YES;
 				INFOPLIST_KEY_UILaunchStoryboardName = LaunchScreen;
@@ -470,7 +427,6 @@
 				DEVELOPMENT_TEAM = P8JZH34X63;
 				GCC_WARN_64_TO_32_BIT_CONVERSION = NO;
 				GENERATE_INFOPLIST_FILE = YES;
-				HEADER_SEARCH_PATHS = ../../../ggml/src/;
 				INFOPLIST_FILE = whisper.objc/Info.plist;
 				INFOPLIST_KEY_UIApplicationSupportsIndirectInputEvents = YES;
 				INFOPLIST_KEY_UILaunchStoryboardName = LaunchScreen;

examples/whisper.swiftui/whisper.cpp.swift/LibWhisper.swift

@@ -1,5 +1,4 @@
 import Foundation
-import UIKit
 import whisper
 
 enum WhisperError: Error {
@@ -56,91 +55,11 @@ actor WhisperContext {
         return transcription
     }
 
-    static func benchMemcpy(nThreads: Int32) async -> String {
-        return String.init(cString: whisper_bench_memcpy_str(nThreads))
-    }
-
-    static func benchGgmlMulMat(nThreads: Int32) async -> String {
-        return String.init(cString: whisper_bench_ggml_mul_mat_str(nThreads))
-    }
-
-    private func systemInfo() -> String {
-        var info = ""
-        //if (ggml_cpu_has_neon() != 0) { info += "NEON " }
-        return String(info.dropLast())
-    }
-
-    func benchFull(modelName: String, nThreads: Int32) async -> String {
-        let nMels = whisper_model_n_mels(context)
-        if (whisper_set_mel(context, nil, 0, nMels) != 0) {
-            return "error: failed to set mel"
-        }
-
-        // heat encoder
-        if (whisper_encode(context, 0, nThreads) != 0) {
-            return "error: failed to encode"
-        }
-
-        var tokens = [whisper_token](repeating: 0, count: 512)
-
-        // prompt heat
-        if (whisper_decode(context, &tokens, 256, 0, nThreads) != 0) {
-            return "error: failed to decode"
-        }
-
-        // text-generation heat
-        if (whisper_decode(context, &tokens, 1, 256, nThreads) != 0) {
-            return "error: failed to decode"
-        }
-
-        whisper_reset_timings(context)
-
-        // actual run
-        if (whisper_encode(context, 0, nThreads) != 0) {
-            return "error: failed to encode"
-        }
-
-        // text-generation
-        for i in 0..<256 {
-            if (whisper_decode(context, &tokens, 1, Int32(i), nThreads) != 0) {
-                return "error: failed to decode"
-            }
-        }
-
-        // batched decoding
-        for _ in 0..<64 {
-            if (whisper_decode(context, &tokens, 5, 0, nThreads) != 0) {
-                return "error: failed to decode"
-            }
-        }
-
-        // prompt processing
-        for _ in 0..<16 {
-            if (whisper_decode(context, &tokens, 256, 0, nThreads) != 0) {
-                return "error: failed to decode"
-            }
-        }
-
-        whisper_print_timings(context)
-
-        let deviceModel = await UIDevice.current.model
-        let systemName = await UIDevice.current.systemName
-        let systemInfo = self.systemInfo()
-        let timings: whisper_timings = whisper_get_timings(context).pointee
-        let encodeMs = String(format: "%.2f", timings.encode_ms)
-        let decodeMs = String(format: "%.2f", timings.decode_ms)
-        let batchdMs = String(format: "%.2f", timings.batchd_ms)
-        let promptMs = String(format: "%.2f", timings.prompt_ms)
-        return "| \(deviceModel) | \(systemName) | \(systemInfo) | \(modelName) | \(nThreads) | 1 | \(encodeMs) | \(decodeMs) | \(batchdMs) | \(promptMs) | <todo> |"
-    }
-
     static func createContext(path: String) throws -> WhisperContext {
         var params = whisper_context_default_params()
 #if targetEnvironment(simulator)
         params.use_gpu = false
         print("Running on the simulator, using CPU")
-#else
-        params.flash_attn = true // Enabled by default for Metal
 #endif
         let context = whisper_init_from_file_with_params(path, params)
         if let context {

examples/whisper.swiftui/whisper.swiftui.demo/Models/Model.swift

@@ -1,17 +0,0 @@
-import Foundation
-
-struct Model: Identifiable {
-    var id = UUID()
-    var name: String
-    var info: String
-    var url: String
-
-    var filename: String
-    var fileURL: URL {
-        FileManager.default.urls(for: .documentDirectory, in: .userDomainMask)[0].appendingPathComponent(filename)
-    }
-
-    func fileExists() -> Bool {
-        FileManager.default.fileExists(atPath: fileURL.path)
-    }
-}