mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2025-07-01 23:10:47 +02:00
Compare commits
2 Commits
gg/cuda-fi
...
gg/fix-ext
Author | SHA1 | Date | |
---|---|---|---|
f25edade2b | |||
74c260fe34 |
@ -28,8 +28,6 @@ COPY .. .
|
||||
RUN make
|
||||
|
||||
FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime
|
||||
ENV CUDA_MAIN_VERSION=12.3
|
||||
ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
|
||||
WORKDIR /app
|
||||
|
||||
RUN apt-get update && \
|
||||
|
244
.github/workflows/build.yml
vendored
244
.github/workflows/build.yml
vendored
@ -15,10 +15,10 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
uses: docker/setup-qemu-action@v2
|
||||
|
||||
- name: Build ${{ matrix.arch }}
|
||||
run: |
|
||||
@ -36,7 +36,7 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Dependencies
|
||||
run: |
|
||||
@ -53,10 +53,10 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Build
|
||||
uses: cross-platform-actions/action@v0.24.0
|
||||
uses: cross-platform-actions/action@v0.15.0
|
||||
with:
|
||||
operating_system: freebsd
|
||||
version: '13.2'
|
||||
@ -77,10 +77,10 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
uses: docker/setup-qemu-action@v2
|
||||
|
||||
- name: Build ${{ matrix.arch }}
|
||||
run: |
|
||||
@ -105,10 +105,10 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
uses: docker/setup-qemu-action@v2
|
||||
|
||||
- name: Build ${{ matrix.arch }}
|
||||
run: |
|
||||
@ -133,10 +133,10 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
uses: docker/setup-qemu-action@v2
|
||||
|
||||
- name: Build ${{ matrix.arch }}
|
||||
run: |
|
||||
@ -150,164 +150,6 @@ jobs:
|
||||
make
|
||||
ctest -L gh --output-on-failure'
|
||||
|
||||
ubuntu-22-cmake-sycl:
|
||||
runs-on: ubuntu-22.04
|
||||
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
dwhisper_sycl: [ON]
|
||||
dcmake_c_compiler: [icx]
|
||||
dcmake_cxx_compiler: [icpx]
|
||||
arch: [linux/amd64, linux/arm64, linux/arm/v7, linux/ppc64le]
|
||||
|
||||
continue-on-error: true
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: add oneAPI to apt
|
||||
shell: bash
|
||||
run: |
|
||||
cd /tmp
|
||||
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
|
||||
sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
|
||||
rm GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
|
||||
sudo add-apt-repository "deb https://apt.repos.intel.com/oneapi all main"
|
||||
|
||||
- name: install oneAPI dpcpp compiler
|
||||
shell: bash
|
||||
run: |
|
||||
sudo apt update
|
||||
sudo apt install intel-oneapi-compiler-dpcpp-cpp
|
||||
|
||||
- name: install oneAPI MKL library
|
||||
shell: bash
|
||||
run: |
|
||||
sudo apt install intel-oneapi-mkl-devel
|
||||
|
||||
- name: Clone
|
||||
id: checkout
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Build
|
||||
id: cmake_build
|
||||
run: |
|
||||
source /opt/intel/oneapi/setvars.sh
|
||||
mkdir build
|
||||
cd build
|
||||
cmake -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx ..
|
||||
cmake --build . --config Release -j $(nproc)
|
||||
|
||||
ubuntu-22-cmake-sycl-fp16:
|
||||
runs-on: ubuntu-22.04
|
||||
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
dwhisper_sycl: [ON]
|
||||
dcmake_c_compiler: [icx]
|
||||
dcmake_cxx_compiler: [icpx]
|
||||
arch: [linux/amd64, linux/arm64, linux/arm/v7, linux/ppc64le]
|
||||
|
||||
continue-on-error: true
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: add oneAPI to apt
|
||||
shell: bash
|
||||
run: |
|
||||
cd /tmp
|
||||
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
|
||||
sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
|
||||
rm GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
|
||||
sudo add-apt-repository "deb https://apt.repos.intel.com/oneapi all main"
|
||||
|
||||
- name: install oneAPI dpcpp compiler
|
||||
shell: bash
|
||||
run: |
|
||||
sudo apt update
|
||||
sudo apt install intel-oneapi-compiler-dpcpp-cpp
|
||||
|
||||
- name: install oneAPI MKL library
|
||||
shell: bash
|
||||
run: |
|
||||
sudo apt install intel-oneapi-mkl-devel
|
||||
|
||||
- name: Clone
|
||||
id: checkout
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Build
|
||||
id: cmake_build
|
||||
run: |
|
||||
source /opt/intel/oneapi/setvars.sh
|
||||
mkdir build
|
||||
cd build
|
||||
cmake -DWHISPER_SYCL_F16=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx ..
|
||||
cmake --build . --config Release -j $(nproc)
|
||||
|
||||
windows-msys2:
|
||||
runs-on: windows-latest
|
||||
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
include:
|
||||
- { sys: UCRT64, env: ucrt-x86_64, build: Release }
|
||||
- { sys: CLANG64, env: clang-x86_64, build: Release }
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Setup ${{ matrix.sys }}
|
||||
uses: msys2/setup-msys2@v2
|
||||
with:
|
||||
update: true
|
||||
msystem: ${{matrix.sys}}
|
||||
install: >-
|
||||
base-devel
|
||||
mingw-w64-${{matrix.env}}-toolchain
|
||||
mingw-w64-${{matrix.env}}-cmake
|
||||
mingw-w64-${{matrix.env}}-SDL2
|
||||
mingw-w64-${{matrix.env}}-openblas
|
||||
|
||||
- name: Build using make
|
||||
shell: msys2 {0}
|
||||
run: |
|
||||
make -j $(nproc)
|
||||
|
||||
- name: Clean after building using make
|
||||
shell: msys2 {0}
|
||||
run: |
|
||||
make clean
|
||||
|
||||
- name: Build using make w/ OpenBLAS
|
||||
shell: msys2 {0}
|
||||
run: |
|
||||
make WHISPER_OPENBLAS=1 -j $(nproc)
|
||||
|
||||
- name: Build using CMake
|
||||
shell: msys2 {0}
|
||||
run: |
|
||||
cmake -B build
|
||||
cmake --build build --config ${{ matrix.build }} -j $(nproc)
|
||||
|
||||
- name: Clean after building using CMake
|
||||
shell: msys2 {0}
|
||||
run: |
|
||||
rm -rf build
|
||||
|
||||
- name: Build using CMake w/ OpenBLAS
|
||||
shell: msys2 {0}
|
||||
run: |
|
||||
cmake -B build -DWHISPER_OPENBLAS=ON
|
||||
cmake --build build --config ${{ matrix.build }} -j $(nproc)
|
||||
|
||||
windows:
|
||||
runs-on: windows-latest
|
||||
|
||||
@ -328,10 +170,10 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Add msbuild to PATH
|
||||
uses: microsoft/setup-msbuild@v2
|
||||
uses: microsoft/setup-msbuild@v1
|
||||
|
||||
- name: Fetch SDL2 and set SDL2_DIR
|
||||
if: matrix.sdl2 == 'ON'
|
||||
@ -356,14 +198,14 @@ jobs:
|
||||
run: copy "$env:SDL2_DIR/../lib/${{ matrix.s2arc }}/SDL2.dll" build/bin/${{ matrix.build }}
|
||||
|
||||
- name: Upload dll
|
||||
uses: actions/upload-artifact@v4
|
||||
uses: actions/upload-artifact@v3
|
||||
with:
|
||||
name: ${{ matrix.jnaPath }}_whisper.dll
|
||||
path: build/bin/${{ matrix.build }}/whisper.dll
|
||||
|
||||
- name: Upload binaries
|
||||
if: matrix.sdl2 == 'ON'
|
||||
uses: actions/upload-artifact@v4
|
||||
uses: actions/upload-artifact@v1
|
||||
with:
|
||||
name: whisper-bin-${{ matrix.arch }}
|
||||
path: build/bin/${{ matrix.build }}
|
||||
@ -392,10 +234,10 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Add msbuild to PATH
|
||||
uses: microsoft/setup-msbuild@v2
|
||||
uses: microsoft/setup-msbuild@v1
|
||||
|
||||
- name: Fetch OpenBLAS
|
||||
if: matrix.blas == 'ON'
|
||||
@ -453,7 +295,7 @@ jobs:
|
||||
|
||||
- name: Upload binaries
|
||||
if: matrix.blas == 'ON' && matrix.sdl2 == 'ON'
|
||||
uses: actions/upload-artifact@v4
|
||||
uses: actions/upload-artifact@v1
|
||||
with:
|
||||
name: whisper-blas${{ matrix.clblast == 'ON' && '-clblast' || ''}}-bin-${{ matrix.arch }}
|
||||
path: build/bin/${{ matrix.build }}
|
||||
@ -476,14 +318,14 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Add msbuild to PATH
|
||||
uses: microsoft/setup-msbuild@v2
|
||||
uses: microsoft/setup-msbuild@v1
|
||||
|
||||
- name: Install CUDA Toolkit
|
||||
id: cuda-toolkit
|
||||
uses: Jimver/cuda-toolkit@v0.2.15
|
||||
uses: Jimver/cuda-toolkit@v0.2.11
|
||||
with:
|
||||
cuda: '${{ matrix.cuda-toolkit }}'
|
||||
|
||||
@ -498,7 +340,7 @@ jobs:
|
||||
run: >
|
||||
cmake -S . -B ./build -A ${{ matrix.arch }}
|
||||
-DCMAKE_BUILD_TYPE=${{ matrix.build }}
|
||||
-DWHISPER_CUDA=${{ matrix.cublas }}
|
||||
-DWHISPER_CUBLAS=${{ matrix.cublas }}
|
||||
-DWHISPER_SDL2=${{ matrix.sdl2 }}
|
||||
|
||||
- name: Build ${{ matrix.cuda-toolkit }}
|
||||
@ -519,7 +361,7 @@ jobs:
|
||||
|
||||
- name: Upload binaries
|
||||
if: matrix.sdl2 == 'ON'
|
||||
uses: actions/upload-artifact@v4
|
||||
uses: actions/upload-artifact@v1
|
||||
with:
|
||||
name: whisper-cublas-${{ matrix.cuda-toolkit }}-bin-${{ matrix.arch }}
|
||||
path: build/bin/${{ matrix.build }}
|
||||
@ -533,10 +375,10 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Setup emsdk
|
||||
uses: mymindstorm/setup-emsdk@v14
|
||||
uses: mymindstorm/setup-emsdk@v12
|
||||
|
||||
- name: Verify
|
||||
run: emcc -v
|
||||
@ -555,7 +397,7 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Configure
|
||||
run: |
|
||||
@ -573,24 +415,24 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
with:
|
||||
path: whisper
|
||||
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
with:
|
||||
repository: ggerganov/ggml
|
||||
path: ggml
|
||||
|
||||
- name: Install Java
|
||||
uses: actions/setup-java@v4
|
||||
uses: actions/setup-java@v3
|
||||
with:
|
||||
distribution: zulu
|
||||
java-version: 21
|
||||
java-version: 17
|
||||
|
||||
- name: Setup Android SDK
|
||||
uses: android-actions/setup-android@v3
|
||||
uses: android-actions/setup-android@v2
|
||||
|
||||
- name: Build
|
||||
run: |
|
||||
@ -608,40 +450,40 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: set up JDK 11
|
||||
uses: actions/setup-java@v4
|
||||
uses: actions/setup-java@v3
|
||||
with:
|
||||
java-version: '11'
|
||||
distribution: 'temurin'
|
||||
cache: gradle
|
||||
|
||||
- name: Setup Android SDK
|
||||
uses: android-actions/setup-android@v3
|
||||
uses: android-actions/setup-android@v2
|
||||
with:
|
||||
cmdline-tools-version: 9.0
|
||||
api-level: 30
|
||||
build-tools-version: 30.0.3
|
||||
|
||||
- name: Build
|
||||
run: |
|
||||
cd examples/whisper.android.java
|
||||
chmod +x ./gradlew
|
||||
chmod +x ./gradlew
|
||||
./gradlew assembleRelease
|
||||
|
||||
java:
|
||||
needs: [ 'windows' ]
|
||||
runs-on: windows-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v3
|
||||
|
||||
- name: Install Java
|
||||
uses: actions/setup-java@v4
|
||||
uses: actions/setup-java@v1
|
||||
with:
|
||||
distribution: zulu
|
||||
java-version: 20
|
||||
java-version: 17
|
||||
|
||||
- name: Download Windows lib
|
||||
uses: actions/download-artifact@v4
|
||||
uses: actions/download-artifact@v3
|
||||
with:
|
||||
name: win32-x86-64_whisper.dll
|
||||
path: bindings/java/build/generated/resources/main/win32-x86-64
|
||||
@ -654,7 +496,7 @@ jobs:
|
||||
./gradlew build
|
||||
|
||||
- name: Upload jar
|
||||
uses: actions/upload-artifact@v4
|
||||
uses: actions/upload-artifact@v3
|
||||
with:
|
||||
name: whispercpp.jar
|
||||
path: bindings/java/build/libs/whispercpp-*.jar
|
||||
@ -676,7 +518,7 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Test quantize
|
||||
run: |
|
||||
|
2
.github/workflows/examples.yml
vendored
2
.github/workflows/examples.yml
vendored
@ -37,7 +37,7 @@ jobs:
|
||||
run: npm install
|
||||
|
||||
- name: Compile addon.node
|
||||
run: npx cmake-js compile -T addon.node -B Release
|
||||
run: npx cmake-js compile -T whisper-addon -B Release
|
||||
|
||||
- name: Download test model
|
||||
run: |
|
||||
|
4
.gitignore
vendored
4
.gitignore
vendored
@ -6,8 +6,6 @@
|
||||
.vs/
|
||||
.vscode/
|
||||
.DS_Store
|
||||
.vimspector.json
|
||||
/CMakeSettings.json
|
||||
|
||||
build/
|
||||
build-coreml/
|
||||
@ -60,4 +58,4 @@ benchmark_results.csv
|
||||
cmake-build-debug/
|
||||
.cxx/
|
||||
.gradle/
|
||||
local.properties
|
||||
local.properties
|
301
AUTHORS
301
AUTHORS
@ -1,301 +0,0 @@
|
||||
# date: Tue Apr 9 20:27:03 EEST 2024
|
||||
# this file is auto-generated by scripts/gen-authors.sh
|
||||
|
||||
0/0 <zero@imaskeleton.me>
|
||||
0cc4m <picard12@live.de>
|
||||
0xsourcecode <134374803+0xsourcecode@users.noreply.github.com>
|
||||
AT <manyoso@users.noreply.github.com>
|
||||
Aarni Koskela <akx@iki.fi>
|
||||
Aaron Pham <29749331+aarnphm@users.noreply.github.com>
|
||||
Aaron Taylor <aaron@exphat.com>
|
||||
Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
|
||||
Abitofevrything <54505189+abitofevrything@users.noreply.github.com>
|
||||
AfryMask <AfryMask@163.com>
|
||||
Ahmad Bilal <ahmad.bilal@empglabs.com>
|
||||
AidanBeltonS <87009434+AidanBeltonS@users.noreply.github.com>
|
||||
Akash Mahajan <akash7190@gmail.com>
|
||||
Akash Mahajan <akashmjn@stanford.edu>
|
||||
Al Hoang <3811822-hoanga@users.noreply.gitlab.com>
|
||||
Alan <unknown>
|
||||
Aleksander Andrzejewski <18704749+aleksanderandrzejewski@users.noreply.github.com>
|
||||
Alex Azarov <alex@azarov.by>
|
||||
Alex Bacart <13940752+alex-bacart@users.noreply.github.com>
|
||||
Alex Evgrashin <aevgrashin@yandex.ru>
|
||||
Alexandr Graschenkov <alexandr.graschenkov91@gmail.com>
|
||||
Alexandru Mariuti <alex@mariuti.com>
|
||||
Alexey Kharlamov <alexey@kharlamov.biz>
|
||||
Alfredo Montesinos <alfredo.montesinos@g.austincc.edu>
|
||||
Ali Alameh <ali.alameh@isae.edu.lb>
|
||||
Ananta Bastola <anantarajbastola@gmail.com>
|
||||
Andreu Huguet <andreuhuguet@gmail.com>
|
||||
Andrew Huynh <a5thuynh@gmail.com>
|
||||
Andrew S <andrews54757@gmail.com>
|
||||
Andy Maloney <asmaloney@gmail.com>
|
||||
Anton Kostin <masguit42@users.noreply.github.com>
|
||||
Artyom Mezin <psycho.fading@gmail.com>
|
||||
Asad Memon <asad.lionpk@gmail.com>
|
||||
Ashraful Islam <ashraful.meche@gmail.com>
|
||||
AsukaMinato <asukaminato@nyan.eu.org>
|
||||
AustinMroz <austinmroz@utexas.edu>
|
||||
Avik Sengupta <avik@sengupta.net>
|
||||
Bader-eddine Ouaich <49657842+baderouaich@users.noreply.github.com>
|
||||
Baffin Lee <baffinlee@gmail.com>
|
||||
Ben Nortier <bjnortier@gmail.com>
|
||||
Benjamin Heiniger <benjamin.heiniger@bluewin.ch>
|
||||
Bo-Yi Wu <appleboy.tw@gmail.com>
|
||||
Boris Bliznioukov <blib@mail.com>
|
||||
Borislav Stanimirov <b.stanimirov@abv.bg>
|
||||
Brad Murray <59848399+bradmurray-dt@users.noreply.github.com>
|
||||
Brian Murray <brian@bmurray.ca>
|
||||
CRD716 <crd716@gmail.com>
|
||||
Canis Lupus <Canis-UK@users.noreply.github.com>
|
||||
Carolinabanana <140120812+Carolinabanana@users.noreply.github.com>
|
||||
ChangSeok Oh <shivamidow@users.noreply.github.com>
|
||||
Chaoqun <27287694+OpenWaygate@users.noreply.github.com>
|
||||
Chia-Hsiang Cheng <88014292+garychia@users.noreply.github.com>
|
||||
Chidi Williams <williamschidi1@gmail.com>
|
||||
Christian <12550267+iceychris@users.noreply.github.com>
|
||||
Clifford Heath <clifford.heath@gmail.com>
|
||||
Colin <github@whoisc.cc>
|
||||
DGdev91 <DGdev91@users.noreply.github.com>
|
||||
Damian Czaja <trojan295@protonmail.com>
|
||||
Daniel Bevenius <daniel.bevenius@gmail.com>
|
||||
David <dnhkng@gmail.com>
|
||||
David Thorpe <djt@mutablelogic.com>
|
||||
Davidson Francis <davidsondfgl@gmail.com>
|
||||
Dener Stassun <denerstassun@gmail.com>
|
||||
Didzis Gosko <didzis@users.noreply.github.com>
|
||||
Digipom <admin@digipom.com>
|
||||
Dimo <dimo@ieee.org>
|
||||
Dody Suria Wijaya <dodysw@gmail.com>
|
||||
Dr. Tom Murphy VII Ph.D <499244+tom7@users.noreply.github.com>
|
||||
Duncan McConnell <ddmcconnell4@gmail.com>
|
||||
Egor Egorov <me@egorfine.com>
|
||||
Elkana Bardugo <ttv200@gmail.com>
|
||||
Emmanuel Schmidbauer <eschmidbauer@gmail.com>
|
||||
Engininja2 <139037756+Engininja2@users.noreply.github.com>
|
||||
Eric Swanson <eswanson@alloscomp.com>
|
||||
Eric Tendian <erictendian@gmail.com>
|
||||
Erik Scholz <Green-Sky@users.noreply.github.com>
|
||||
Evan Jones <evan.q.jones@gmail.com>
|
||||
Evan Martin <evan.martin@gmail.com>
|
||||
Eve <139727413+netrunnereve@users.noreply.github.com>
|
||||
Evgeny Kuznetsov <evgeny@kuznetsov.md>
|
||||
F1L1P <78918286+F1L1Pv2@users.noreply.github.com>
|
||||
Fangjun Kuang <csukuangfj@gmail.com>
|
||||
Felix <stenbackfelix@gmail.com>
|
||||
Finn Voorhees <finnvoorhees@gmail.com>
|
||||
FlippFuzz <41221030+FlippFuzz@users.noreply.github.com>
|
||||
Gang Chen <goncha@gmail.com>
|
||||
Gavin Cai <gavin1818@hotmail.com>
|
||||
George Hindle <george@georgehindle.com>
|
||||
Georgi Gerganov <ggerganov@gmail.com>
|
||||
GitAritron <103900385+GitAritron@users.noreply.github.com>
|
||||
GiviMAD <GiviMAD@users.noreply.github.com>
|
||||
Gleicon Moraes <gleicon@gmail.com>
|
||||
Gregor Jasny <gjasny@googlemail.com>
|
||||
Guillaume Wenzek <gwenzek@users.noreply.github.com>
|
||||
HY. Kelvin Lee <34256578+hykelvinlee42@users.noreply.github.com>
|
||||
Halalaluyafail3 <55773281+Halalaluyafail3@users.noreply.github.com>
|
||||
Hang <bebound@gmail.com>
|
||||
Herman Semenov <GermanAizek@yandex.ru>
|
||||
Hrishikesh Barman <geekodour@users.noreply.github.com>
|
||||
Ian Bicking <ian@ianbicking.org>
|
||||
Ian Bull <irbull@eclipsesource.com>
|
||||
Ikko Ashimine <eltociear@gmail.com>
|
||||
InconsolableCellist <23345188+InconsolableCellist@users.noreply.github.com>
|
||||
Ismatulla Mansurov <47342870+sapoepsilon@users.noreply.github.com>
|
||||
Ivan Gorin <ivangorin21@gmail.com>
|
||||
JJ <103335846+computerscienceiscool@users.noreply.github.com>
|
||||
Jack Mousseau <jmousseau@users.noreply.github.com>
|
||||
JacobLinCool <jacoblincool@gmail.com>
|
||||
Jakub Ráček <blizzcz@gmail.com>
|
||||
Jared Van Bortel <jared@nomic.ai>
|
||||
Jay Binks <jaybinks@gmail.com>
|
||||
Jhen-Jie Hong <developer@jhen.me>
|
||||
Jhen-Jie Hong <iainst0409@gmail.com>
|
||||
JidongZhang-THU <1119708529@qq.com>
|
||||
Jo Liss <joliss42@gmail.com>
|
||||
Johan <jr.raffin@gmail.com>
|
||||
Johannes Gäßler <johannesg@5d6.de>
|
||||
John Balis <phobossystems@gmail.com>
|
||||
Jonathan Soo <jcsoo@agora.com>
|
||||
Jonno <1160532+razodactyl@users.noreply.github.com>
|
||||
Joonas Pihlajamaa <joonas.pihlajamaa@iki.fi>
|
||||
Jose <34888496+Jerry-Master@users.noreply.github.com>
|
||||
Josh Bleecher Snyder <josharian@gmail.com>
|
||||
Judd <foldl@users.noreply.github.com>
|
||||
Jumper775 <78500318+jumpers775@users.noreply.github.com>
|
||||
Justine Tunney <jtunney@gmail.com>
|
||||
KP Kaiser <kirk@zothcorp.com>
|
||||
Kamilake <exjang0@gmail.com>
|
||||
Kartik Saranathan <278928+Kartiku@users.noreply.github.com>
|
||||
Kasumi <90275229+kasumi-1@users.noreply.github.com>
|
||||
Kawrakow <48489457+ikawrakow@users.noreply.github.com>
|
||||
Kevin Brothaler <admin@digipom.com>
|
||||
Konstantin Zhuravlyov <konstantin.zhuravlyov@amd.com>
|
||||
Kreijstal <rainb@tfwno.gf>
|
||||
Kylin <56434533+KyL0N@users.noreply.github.com>
|
||||
LBlue <153975653+lbluep@users.noreply.github.com>
|
||||
Larry Battle <larry.battle.tech@gmail.com>
|
||||
Laytan Laats <laytanlaats@hotmail.com>
|
||||
Leo Moll <leo.moll@yeasoft.com>
|
||||
Lexevolution <31176843+Lexevolution@users.noreply.github.com>
|
||||
LittleLoli <26589867+WhichWho@users.noreply.github.com>
|
||||
Lucas Zanek <57494138+LucasZNK@users.noreply.github.com>
|
||||
Luis Herrera <herrera-luis@users.noreply.github.com>
|
||||
Lukas Rist <glaslos@gmail.com>
|
||||
M. A. Ali <73258591+MightyStud@users.noreply.github.com>
|
||||
M. Eren Akbiyik <erenakbiyik@gmail.com>
|
||||
Maciek <maciek.mab122@gmail.com>
|
||||
Marcin Mielniczuk <marmistrz.dev@zoho.eu>
|
||||
Martin Warnaar <martinwarnaar@gmail.com>
|
||||
Matheus de Sousa <23645013+keyehzy@users.noreply.github.com>
|
||||
Mathijs de Bruin <mathijs@mathijsfietst.nl>
|
||||
Matija Pevec <mightymatth@users.noreply.github.com>
|
||||
Maximiliano Levi <8160966+maxilevi@users.noreply.github.com>
|
||||
Meng, Hengyu <hengyu.meng@intel.com>
|
||||
Michael Podvitskiy <podvitskiymichael@gmail.com>
|
||||
Michael Rienstra <mrienstra@gmail.com>
|
||||
Mikhail Grigorev <sleuthhound@gmail.com>
|
||||
Mohammadreza Hendiani <hendiani.mohammadreza@gmail.com>
|
||||
Mohit Agarwal <mohit@sdf.org>
|
||||
Murilo Santana <mvrilo@gmail.com>
|
||||
Neil Chudleigh <nchudleigh@users.noreply.github.com>
|
||||
Neo Zhang Jianyu <jianyu.zhang@intel.com>
|
||||
Neuman Vong <neuman.vong@gmail.com>
|
||||
Nicholas Albion <nalbion@yahoo.com>
|
||||
Niels Mayer <Niels.Mayer@gmail.com>
|
||||
Okabintaro <103938900+Okabintaro@users.noreply.github.com>
|
||||
Oleg Sidorov <me@whitebox.io>
|
||||
Oleg Sidorov <oleg@sidorov.nl>
|
||||
Ondrej Kokes <ondrej.kokes@gmail.com>
|
||||
Ouadie EL FAROUKI <ouadie.elfarouki@codeplay.com>
|
||||
Paul Tsochantaris <ptsochantaris@icloud.com>
|
||||
Philipp Zabel <philipp.zabel@gmail.com>
|
||||
Philippe Normand <phil@base-art.net>
|
||||
Przemysław Pawełczyk <przemoc@gmail.com>
|
||||
Qianhe Chen <54462604+chenqianhe@users.noreply.github.com>
|
||||
Radosław Gryta <radek.gryta@gmail.com>
|
||||
Reinforce-II <fate@eastal.com>
|
||||
Reinis Muiznieks <muiznieks.reinis@gmail.com>
|
||||
RelatedTitle <r3latedtitle@gmail.com>
|
||||
RhinoDevel <RhinoDevel@users.noreply.github.com>
|
||||
Rich Jones <miserlou@gmail.com>
|
||||
Robin <robin.xw@hotmail.com>
|
||||
Roddur Dasgupta <roddurd@gmail.com>
|
||||
Roland Rabien <figbug@gmail.com>
|
||||
Rotem Dan <rotemdan@gmail.com>
|
||||
Ryan Hitchman <hitchmanr@gmail.com>
|
||||
Ryan Metcalfe <107415876+RyanMetcalfeInt8@users.noreply.github.com>
|
||||
RyanChang <ftes90015@gmail.com>
|
||||
Sam <49637763+Onlyartist9@users.noreply.github.com>
|
||||
Sam Pullara <spullara@gmail.com>
|
||||
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
|
||||
Sergio López <slp@sinrega.org>
|
||||
Siddharth Ramakrishnan <srr2141@columbia.edu>
|
||||
Simon Moisselin <simon.moisstoll@gmail.com>
|
||||
Sindre Sorhus <sindresorhus@gmail.com>
|
||||
Slava Primenko <primenko.s@gmail.com>
|
||||
Syahmi Azhar <prsyahmi@gmail.com>
|
||||
Syed Jafri <syedjafri97@gmail.com>
|
||||
Sơn Phan Trung <phantrungson17@gmail.com>
|
||||
Taisei Mima <bhbstar.me@gmail.com>
|
||||
Takeshi Inoue <inoue.takeshi@gmail.com>
|
||||
Tamotsu Takahashi <ttakah+github@gmail.com>
|
||||
Taras Glek <taras@thegp.com>
|
||||
Tauseef Mohiuddin <35351464+tauseefmohammed2@users.noreply.github.com>
|
||||
Thijs Raymakers <thijs@raymakers.nl>
|
||||
Thomas Fitzsimmons <fitzsim@fitzsim.org>
|
||||
Tiago Fassoni <tiagofassoni@users.noreply.github.com>
|
||||
Tienshiao Ma <tienshiao@tienshiao.org>
|
||||
Timothy Cronin <40186632+4imothy@users.noreply.github.com>
|
||||
Tobrun <tobrun.van.nuland@gmail.com>
|
||||
Todd <taf2@users.noreply.github.com>
|
||||
Tong Li <31761981+litongjava@users.noreply.github.com>
|
||||
Topping1 <78745143+Topping1@users.noreply.github.com>
|
||||
Travis Cline <travis.cline@gmail.com>
|
||||
UEXTM.com <84163508+uextm@users.noreply.github.com>
|
||||
Vadim Peretokin <vperetokin@hey.com>
|
||||
Valentin Gosu <1454649+valenting@users.noreply.github.com>
|
||||
Vulcan <93451215+trholding@users.noreply.github.com>
|
||||
WhiteOlivierus <36532695+WhiteOlivierus@users.noreply.github.com>
|
||||
Xiang (Kevin) Li <kevinli020508@gmail.com>
|
||||
Xiao-Yong Jin <jinxiaoyong@gmail.com>
|
||||
XiaotaoChen <chenxiaotao1234@gmail.com>
|
||||
Yajing Tang <phillis@google.com>
|
||||
Yang Shen <aplshenyang@gmail.com>
|
||||
Yunès <jean.baptiste.yunes@free.fr>
|
||||
ZaBlazzingZephyrus <119159668+blazingzephyr@users.noreply.github.com>
|
||||
Zigfrid Zvezdin <ziggerZZ@gmail.com>
|
||||
Zollner <24618122+Zolliner@users.noreply.github.com>
|
||||
ai-at-home <149282006+ai-at-home@users.noreply.github.com>
|
||||
alonfaraj <alonfaraj@gmail.com>
|
||||
andypayne <apayne@gmail.com>
|
||||
ardfork <134447697+ardfork@users.noreply.github.com>
|
||||
automaticcat <daogiatuank54@gmail.com>
|
||||
be-next <jerome.ramette@gmail.com>
|
||||
bert hubert <bert@hubertnet.nl>
|
||||
bmwl <brian.marshall@tolko.com>
|
||||
bobqianic <129547291+bobqianic@users.noreply.github.com>
|
||||
bocytko <bocytko+github@gmail.com>
|
||||
boolemancer <48014766+boolemancer@users.noreply.github.com>
|
||||
boolemancer <boolemancer@gmail.com>
|
||||
bradmit <151883577+bradmit@users.noreply.github.com>
|
||||
brunofaustino <b.fa.amorim@gmail.com>
|
||||
bssrdf <merlintiger@hotmail.com>
|
||||
byte-6174 <88070277+byte-6174@users.noreply.github.com>
|
||||
cdosoftei <ciprian.dosoftei@gmail.com>
|
||||
clach04 <Chris.Clark@actian.com>
|
||||
compilade <113953597+compilade@users.noreply.github.com>
|
||||
conradg <conradjgodfrey@gmail.com>
|
||||
ddpasa <112642920+ddpasa@users.noreply.github.com>
|
||||
denersc <denerstassun@gmail.com>
|
||||
dscripka <dscripka@users.noreply.github.com>
|
||||
duthils <duthils@duthils.net>
|
||||
ecneladis <ecneladis@users.noreply.github.com>
|
||||
faker <nspyia2002@gmail.com>
|
||||
fitzsim <fitzsim@fitzsim.org>
|
||||
fraxy-v <65565042+fraxy-v@users.noreply.github.com>
|
||||
genevera (she/her) <genevera@users.noreply.github.com>
|
||||
geniusnut <geniusnut@gmail.com>
|
||||
greeshmay <greeshmay@gmail.com>
|
||||
hydai <z54981220@gmail.com>
|
||||
iamthad <thadeus.j.fleming@gmail.com>
|
||||
james wolf <contractorwolf@hotmail.com>
|
||||
joecryptotoo <80373433+joecryptotoo@users.noreply.github.com>
|
||||
jorismertz <35079666+jorismertz@users.noreply.github.com>
|
||||
junkfood <69683722+JunkFood02@users.noreply.github.com>
|
||||
jwijffels <jwijffels@bnosac.be>
|
||||
kamranjon <kamranjon@gmail.com>
|
||||
katsu560 <katsu560oo-@docomo.ne.jp>
|
||||
kennethge <57784063+kenneth-ge@users.noreply.github.com>
|
||||
keyehzy <msamuel@aluno.puc-rio.br>
|
||||
leejet <leejet714@gmail.com>
|
||||
litong <31761981+litongjava@users.noreply.github.com>
|
||||
lnyan <lkwq007@gmail.com>
|
||||
m.bell <m.bell@techsmith.com>
|
||||
mkiol <mkiol@users.noreply.github.com>
|
||||
novag <7754358+novag@users.noreply.github.com>
|
||||
pajowu <pajowu@pajowu.de>
|
||||
polarmoon <90010972+polarmoon@users.noreply.github.com>
|
||||
rlapray <lapray.romain@gmail.com>
|
||||
sandrohanea <40202887+sandrohanea@users.noreply.github.com>
|
||||
semiformal-net <84111142+semiformal-net@users.noreply.github.com>
|
||||
shibukazu <61775791+shibukazu@users.noreply.github.com>
|
||||
shikokuchuo <53399081+shikokuchuo@users.noreply.github.com>
|
||||
slaren <slarengh@gmail.com>
|
||||
slashlib <slashlib@users.noreply.github.com>
|
||||
snadampal <87143774+snadampal@users.noreply.github.com>
|
||||
st-gr <38470677+st-gr@users.noreply.github.com>
|
||||
texmex76 <40733439+texmex76@users.noreply.github.com>
|
||||
thefinaldegree <thefinaldegree@gmail.com>
|
||||
trixirt <trix@redhat.com>
|
||||
ulatekh <ulatekh@yahoo.com>
|
||||
undef <undefdev@gmail.com>
|
||||
venkr <venkateshrameshkumar+1@gmail.com>
|
||||
vicalloy <zbirder@gmail.com>
|
||||
xdrudis <xavierdrudis@yahoo.es>
|
||||
zhouwg <6889919+zhouwg@users.noreply.github.com>
|
||||
布客飞龙 <562826179@qq.com>
|
||||
Артём Земляк <azemlyak@smart-consulting.ru>
|
280
CMakeLists.txt
280
CMakeLists.txt
@ -1,10 +1,6 @@
|
||||
cmake_minimum_required (VERSION 3.5)
|
||||
|
||||
# Allow for the creation of solution folders.
|
||||
set_property(GLOBAL PROPERTY USE_FOLDERS ON)
|
||||
|
||||
project(whisper.cpp VERSION 1.6.2)
|
||||
set(SOVERSION 1)
|
||||
project(whisper.cpp VERSION 1.5.4)
|
||||
|
||||
# Add path to modules
|
||||
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/")
|
||||
@ -59,17 +55,10 @@ option(WHISPER_BUILD_EXAMPLES "whisper: build examples" ${WHISPER_STANDA
|
||||
|
||||
option(WHISPER_SDL2 "whisper: support for libSDL2" OFF)
|
||||
|
||||
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
|
||||
option(WHISPER_FFMPEG "whisper: support building and linking with ffmpeg libs (avcodec, swresample, ...)" OFF)
|
||||
endif()
|
||||
|
||||
option(WHISPER_NO_AVX "whisper: disable AVX" OFF)
|
||||
option(WHISPER_NO_AVX2 "whisper: disable AVX2" OFF)
|
||||
option(WHISPER_NO_AVX512 "whisper: disable AVX512" ON)
|
||||
option(WHISPER_NO_AVX512_VBMI "whisper: disable AVX512-VBMI" ON)
|
||||
option(WHISPER_NO_AVX512_VNNI "whisper: disable AVX512-VNNI" ON)
|
||||
option(WHISPER_NO_FMA "whisper: disable FMA" OFF)
|
||||
option(WHISPER_NO_F16C "whisper: disable F16c" OFF)
|
||||
option(WHISPER_NO_AVX "whisper: disable AVX" OFF)
|
||||
option(WHISPER_NO_AVX2 "whisper: disable AVX2" OFF)
|
||||
option(WHISPER_NO_FMA "whisper: disable FMA" OFF)
|
||||
option(WHISPER_NO_F16C "whisper: disable F16c" OFF)
|
||||
|
||||
option(WHISPER_OPENVINO "whisper: support for OpenVINO" OFF)
|
||||
|
||||
@ -81,17 +70,12 @@ if (APPLE)
|
||||
option(WHISPER_COREML_ALLOW_FALLBACK "whisper: allow non-CoreML fallback" OFF)
|
||||
option(WHISPER_METAL_EMBED_LIBRARY "whisper: embed Metal library" OFF)
|
||||
else()
|
||||
option(WHISPER_BLAS "whisper: use BLAS libraries" OFF)
|
||||
option(WHISPER_BLAS_VENDOR "whisper: BLAS library vendor" Generic)
|
||||
option(WHISPER_OPENBLAS "whisper: prefer OpenBLAS" OFF)
|
||||
option(WHISPER_OPENBLAS_INTERFACE64 "whisper: use OpenBLAS w/ 64-bit interface" OFF)
|
||||
option(WHISPER_CUDA "whisper: support for CUDA" OFF)
|
||||
option(WHISPER_CUBLAS "whisper: support for CUDA (deprecated)" OFF)
|
||||
option(WHISPER_HIPBLAS "whisper: support for hipBLAS" OFF)
|
||||
option(WHISPER_CLBLAST "whisper: use CLBlast" OFF)
|
||||
option(WHISPER_MKL "whisper: use Intel Math Kernel Library (MKL)" OFF)
|
||||
option(WHISPER_SYCL "whisper: use SYCL" OFF)
|
||||
option(WHISPER_SYCL_F16 "whisper: use 16 bit floats for sycl calculations" OFF)
|
||||
option(WHISPER_BLAS "whisper: use BLAS libraries" OFF)
|
||||
option(WHISPER_BLAS_VENDOR "whisper: BLAS library vendor" Generic)
|
||||
option(WHISPER_OPENBLAS "whisper: prefer OpenBLAS" OFF)
|
||||
option(WHISPER_CUBLAS "whisper: support for cuBLAS" OFF)
|
||||
option(WHISPER_HIPBLAS "whisper: support for hipBLAS" OFF)
|
||||
option(WHISPER_CLBLAST "whisper: use CLBlast" OFF)
|
||||
endif()
|
||||
|
||||
option(WHISPER_PERF "whisper: enable perf timings" OFF)
|
||||
@ -122,33 +106,6 @@ endif()
|
||||
|
||||
find_package(Threads REQUIRED)
|
||||
|
||||
#compile flag sycl
|
||||
if (WHISPER_SYCL)
|
||||
set(CMAKE_CXX_STANDARD 17)
|
||||
else()
|
||||
set(CMAKE_CXX_STANDARD 11)
|
||||
endif()
|
||||
|
||||
if (WHISPER_FFMPEG)
|
||||
# As of cmake 3.27, there is no official cmake support for FindFFmpeg.
|
||||
# Consequnelty we added a FindFFmpeg.cmake script the cmake subfolder:
|
||||
# whisper.cpp does not need the full ffmpeg libs, just AVFORMAT AVCODEC AVUTIL SWRESAMPLE
|
||||
# libswresample performs highly optimized audio resampling, rematrixing and sample format conversion operations
|
||||
# libavcodec provides a generic encoding/decoding framework and contains multiple decoders and encoders for audio, video and subtitle streams, and several bitstream filters.
|
||||
# libavformat provides a generic framework for multiplexing and demultiplexing (muxing and demuxing) audio, video and subtitle streams.
|
||||
find_package(FFmpeg REQUIRED)
|
||||
if (NOT ${FFMPEG_FOUND})
|
||||
message(FATAL_ERROR "Cannot find ffmpeg libs/headers")
|
||||
endif()
|
||||
message(STATUS "Found ffmpeg libs: ${FFMPEG_LIBRARIES}")
|
||||
message(STATUS "Found ffmpeg headers in: ${FFMPEG_INCLUDE_DIRS}")
|
||||
message(STATUS "ffmpeg definitions: ${FFMPEG_DEFINITIONS}")
|
||||
message(STATUS "Found avformat ${AVFORMAT_VERSION}")
|
||||
include_directories(${FFMPEG_INCLUDE_DIRS})
|
||||
add_compile_definitions(WHISPER_FFMPEG)
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ${FFMPEG_LIBRARIES})
|
||||
endif()
|
||||
|
||||
# on APPLE
|
||||
if (APPLE)
|
||||
# include Accelerate framework
|
||||
@ -159,7 +116,7 @@ if (APPLE)
|
||||
message(STATUS "Accelerate framework found")
|
||||
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ${ACCELERATE_FRAMEWORK})
|
||||
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_ACCELERATE -DACCELERATE_NEW_LAPACK -DACCELERATE_LAPACK_ILP64)
|
||||
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_ACCELERATE)
|
||||
else()
|
||||
message(FATAL_ERROR "Accelerate framework not found")
|
||||
endif()
|
||||
@ -189,37 +146,27 @@ if (APPLE)
|
||||
|
||||
set(GGML_SOURCES_METAL ggml-metal.m ggml-metal.h)
|
||||
|
||||
# copy ggml-common.h and ggml-metal.metal to bin directory
|
||||
configure_file(ggml-common.h bin/ggml-common.h COPYONLY)
|
||||
# copy ggml-metal.metal to bin directory
|
||||
configure_file(ggml-metal.metal bin/ggml-metal.metal COPYONLY)
|
||||
|
||||
if (WHISPER_METAL_EMBED_LIBRARY)
|
||||
enable_language(ASM)
|
||||
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_METAL_EMBED_LIBRARY)
|
||||
|
||||
set(METALLIB_SOURCE "${CMAKE_CURRENT_SOURCE_DIR}/ggml-metal.metal")
|
||||
set(COMMON_HEADER "${CMAKE_CURRENT_SOURCE_DIR}/ggml-common.h")
|
||||
set(METALLIB_SOURCE "${CMAKE_SOURCE_DIR}/ggml-metal.metal")
|
||||
|
||||
file(MAKE_DIRECTORY "${CMAKE_BINARY_DIR}/autogenerated")
|
||||
set(EMBED_METALLIB_ASSEMBLY "${CMAKE_BINARY_DIR}/autogenerated/ggml-embed-metallib.s")
|
||||
set(EMBED_METALLIB_SOURCE "${CMAKE_BINARY_DIR}/autogenerated/ggml-metal-combined.metal")
|
||||
|
||||
add_custom_command(
|
||||
OUTPUT ${EMBED_METALLIB_SOURCE}
|
||||
COMMAND sed -e "/^#include \\\"ggml-common.h\\\"/r ${COMMON_HEADER}" -e "/^#include \\\"ggml-common.h\\\"/d" ${METALLIB_SOURCE} > ${EMBED_METALLIB_SOURCE}
|
||||
DEPENDS ${METALLIB_SOURCE} ${COMMON_HEADER}
|
||||
COMMENT "Generating combined Metal library for embedding"
|
||||
)
|
||||
|
||||
add_custom_command(
|
||||
OUTPUT ${EMBED_METALLIB_ASSEMBLY}
|
||||
COMMAND echo ".section __DATA,__ggml_metallib" > ${EMBED_METALLIB_ASSEMBLY}
|
||||
COMMAND echo ".globl _ggml_metallib_start" >> ${EMBED_METALLIB_ASSEMBLY}
|
||||
COMMAND echo "_ggml_metallib_start:" >> ${EMBED_METALLIB_ASSEMBLY}
|
||||
COMMAND echo ".incbin \\\"${EMBED_METALLIB_SOURCE}\\\"" >> ${EMBED_METALLIB_ASSEMBLY}
|
||||
COMMAND echo ".incbin \\\"${METALLIB_SOURCE}\\\"" >> ${EMBED_METALLIB_ASSEMBLY}
|
||||
COMMAND echo ".globl _ggml_metallib_end" >> ${EMBED_METALLIB_ASSEMBLY}
|
||||
COMMAND echo "_ggml_metallib_end:" >> ${EMBED_METALLIB_ASSEMBLY}
|
||||
DEPENDS ${EMBED_METALLIB_SOURCE}
|
||||
DEPENDS ${METALLIB_SOURCE}
|
||||
COMMENT "Generate assembly for embedded Metal library"
|
||||
)
|
||||
|
||||
@ -248,82 +195,30 @@ endif()
|
||||
if (WHISPER_OPENBLAS)
|
||||
set(WHISPER_BLAS_VENDOR "OpenBLAS")
|
||||
set(WHISPER_BLAS ON)
|
||||
# BLA_PKGCONFIG_BLAS is supported since CMake 3.25.
|
||||
# FindBLAS.cmake pkg-config logic seems incomplete, because when
|
||||
# BLA_SIZEOF_INTEGER is 8, then it should search for blas64 instead of blas.
|
||||
# blas.pc/blas64.pc are not always provided, so let's be more specific
|
||||
# and go with openblas.pc/openblas64.pc if WHISPER_OPENBLAS is on.
|
||||
if (WHISPER_OPENBLAS_INTERFACE64)
|
||||
set(WHISPER_BLAS_LIB "openblas64")
|
||||
else ()
|
||||
set(WHISPER_BLAS_LIB "openblas")
|
||||
endif ()
|
||||
set(BLA_PKGCONFIG_BLAS ${WHISPER_BLAS_LIB})
|
||||
# OpenBLAS prebuilt libraries for Windows do not have "64" suffix in filename.
|
||||
# (But .pc file has "64" suffix in filename for USE_64BITINT=1 Windows build.)
|
||||
if (MSVC)
|
||||
set(WHISPER_BLAS_LIB "openblas")
|
||||
endif ()
|
||||
endif()
|
||||
|
||||
if (WHISPER_BLAS)
|
||||
if (NOT "$ENV{OPENBLAS_PATH}" STREQUAL "")
|
||||
if (WHISPER_STATIC)
|
||||
set(WHISPER_BLAS_LIB_PREFIX ${CMAKE_STATIC_LIBRARY_PREFIX})
|
||||
set(WHISPER_BLAS_LIB_SUFFIX ${CMAKE_STATIC_LIBRARY_SUFFIX})
|
||||
if (WIN32)
|
||||
if(DEFINED ENV{OPENBLAS_PATH})
|
||||
set(BLAS_LIBRARIES $ENV{OPENBLAS_PATH}/lib/libopenblas.dll.a)
|
||||
message(STATUS "Libraries ${BLAS_LIBRARIES}")
|
||||
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_OPENBLAS)
|
||||
include_directories($ENV{OPENBLAS_PATH}/include)
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ${BLAS_LIBRARIES})
|
||||
else ()
|
||||
if (CMAKE_IMPORT_LIBRARY_SUFFIX)
|
||||
set(WHISPER_BLAS_LIB_PREFIX ${CMAKE_IMPORT_LIBRARY_PREFIX})
|
||||
set(WHISPER_BLAS_LIB_SUFFIX ${CMAKE_IMPORT_LIBRARY_SUFFIX})
|
||||
else ()
|
||||
set(WHISPER_BLAS_LIB_PREFIX ${CMAKE_SHARED_LIBRARY_PREFIX})
|
||||
set(WHISPER_BLAS_LIB_SUFFIX ${CMAKE_SHARED_LIBRARY_SUFFIX})
|
||||
endif ()
|
||||
message(FATAL_ERROR "BLAS library was not found. Environment variable OPENBLAS_PATH not defined.")
|
||||
endif ()
|
||||
# OpenBLAS prebuilt libraries hardcode "lib" prefix in filename even on Windows
|
||||
if (WHISPER_OPENBLAS)
|
||||
set(WHISPER_BLAS_LIB_PREFIX "lib")
|
||||
endif ()
|
||||
message(STATUS "BLAS compatible library path provided")
|
||||
set(BLAS_LIBRARIES "$ENV{OPENBLAS_PATH}/lib/${WHISPER_BLAS_LIB_PREFIX}${WHISPER_BLAS_LIB}${WHISPER_BLAS_LIB_SUFFIX}")
|
||||
message(STATUS "Libraries ${BLAS_LIBRARIES}")
|
||||
set(BLAS_INCLUDE_DIRS "$ENV{OPENBLAS_PATH}/include")
|
||||
message(STATUS "Include dirs ${BLAS_INCLUDE_DIRS}")
|
||||
if (NOT EXISTS "${BLAS_LIBRARIES}")
|
||||
message(FATAL_ERROR "BLAS library was not found. Environment variable OPENBLAS_PATH misdefined.")
|
||||
endif ()
|
||||
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_OPENBLAS)
|
||||
include_directories(${BLAS_INCLUDE_DIRS})
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ${BLAS_LIBRARIES})
|
||||
else ()
|
||||
if (WHISPER_STATIC)
|
||||
# FindBLAS.cmake pkg-config logic seems incomplete, because when
|
||||
# BLA_STATIC is on, then it should use pkg_check_modules_static
|
||||
# instead of pkg_check_modules.
|
||||
# Some manual variable overriding may be necessary if you don't
|
||||
# achieve desired results.
|
||||
set(BLA_STATIC 1)
|
||||
endif ()
|
||||
set(BLA_STATIC 1)
|
||||
set(BLA_VENDOR ${WHISPER_BLAS_VENDOR})
|
||||
if (WHISPER_OPENBLAS_INTERFACE64)
|
||||
set(BLA_SIZEOF_INTEGER 8)
|
||||
else ()
|
||||
set(BLA_SIZEOF_INTEGER 4)
|
||||
endif()
|
||||
set(BLA_SIZEOF_INTEGER 8)
|
||||
set(BLA_PREFER_PKGCONFIG 1)
|
||||
find_package(BLAS)
|
||||
|
||||
if(BLAS_FOUND)
|
||||
message(STATUS "BLAS compatible library found")
|
||||
message(STATUS "Libraries ${BLAS_LIBRARIES}")
|
||||
if (NOT DEFINED BLAS_INCLUDE_DIRS)
|
||||
if (PKGC_BLAS_FOUND)
|
||||
set(BLAS_INCLUDE_DIRS "${PKGC_BLAS_INCLUDE_DIRS}")
|
||||
else ()
|
||||
find_path(BLAS_INCLUDE_DIRS cblas.h /usr/include/openblas)
|
||||
endif()
|
||||
endif()
|
||||
message(STATUS "Include dirs ${BLAS_INCLUDE_DIRS}")
|
||||
find_path(BLAS_INCLUDE_DIRS cblas.h /usr/include/openblas /usr/local/include/openblas $ENV{BLAS_HOME}/include)
|
||||
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_OPENBLAS)
|
||||
include_directories(${BLAS_INCLUDE_DIRS})
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ${BLAS_LIBRARIES})
|
||||
@ -333,19 +228,7 @@ if (WHISPER_BLAS)
|
||||
endif ()
|
||||
endif ()
|
||||
|
||||
if (WHISPER_MKL)
|
||||
find_package(MKL CONFIG REQUIRED PATHS $ENV{MKLROOT})
|
||||
message(STATUS "Imported oneMKL targets: ${MKL_IMPORTED_TARGETS}")
|
||||
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_OPENBLAS)
|
||||
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_BLAS_USE_MKL)
|
||||
endif()
|
||||
|
||||
if (WHISPER_CUBLAS)
|
||||
message(WARNING "WHISPER_CUBLAS is deprecated and will be removed in the future.\nUse WHISPER_CUDA instead")
|
||||
set(WHISPER_CUDA ON)
|
||||
endif()
|
||||
|
||||
if (WHISPER_CUDA)
|
||||
cmake_minimum_required(VERSION 3.17)
|
||||
|
||||
find_package(CUDAToolkit)
|
||||
@ -355,21 +238,19 @@ if (WHISPER_CUDA)
|
||||
|
||||
enable_language(CUDA)
|
||||
|
||||
file(GLOB GGML_SOURCES_CUDA "ggml-cuda/*.cu")
|
||||
list(APPEND GGML_SOURCES_CUDA ggml-cuda.h)
|
||||
list(APPEND GGML_SOURCES_CUDA ggml-cuda.cu)
|
||||
set(GGML_SOURCES_CUDA ggml-cuda.cu ggml-cuda.h)
|
||||
|
||||
add_compile_definitions(GGML_USE_CUDA)
|
||||
add_compile_definitions(GGML_USE_CUBLAS)
|
||||
|
||||
if (WHISPER_STATIC)
|
||||
if (WIN32)
|
||||
# As of 12.3.1 CUDA Tookit for Windows does not offer a static cublas library
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas CUDA::cublasLt CUDA::cufft)
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas CUDA::cublasLt)
|
||||
else ()
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static CUDA::cufft_static)
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static)
|
||||
endif()
|
||||
else()
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt CUDA::cufft)
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt)
|
||||
endif()
|
||||
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cuda_driver)
|
||||
@ -394,18 +275,16 @@ if (WHISPER_HIPBLAS)
|
||||
|
||||
if (${hipblas_FOUND} AND ${hip_FOUND})
|
||||
message(STATUS "HIP and hipBLAS found")
|
||||
set(GGML_HEADERS_ROCM "ggml-cuda.h")
|
||||
add_compile_definitions(GGML_USE_HIPBLAS GGML_USE_CUBLAS)
|
||||
add_library(ggml-rocm OBJECT ggml-cuda.cu ggml-cuda.h)
|
||||
set_property(TARGET ggml-rocm PROPERTY POSITION_INDEPENDENT_CODE ON)
|
||||
set_source_files_properties(ggml-cuda.cu PROPERTIES LANGUAGE CXX)
|
||||
target_link_libraries(ggml-rocm PRIVATE hip::device PUBLIC hip::host roc::rocblas roc::hipblas)
|
||||
|
||||
file(GLOB GGML_SOURCES_ROCM "ggml-cuda/*.cu")
|
||||
list(APPEND GGML_SOURCES_ROCM "ggml-cuda.cu")
|
||||
|
||||
add_compile_definitions(GGML_USE_HIPBLAS GGML_USE_CUDA)
|
||||
|
||||
set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE CXX)
|
||||
if (WHISPER_STATIC)
|
||||
message(FATAL_ERROR "Static linking not supported for HIP/ROCm")
|
||||
endif()
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} hip::device PUBLIC hip::host roc::rocblas roc::hipblas)
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} ggml-rocm)
|
||||
else()
|
||||
message(FATAL_ERROR "hipBLAS or HIP not found. Try setting CMAKE_PREFIX_PATH=/opt/rocm")
|
||||
endif()
|
||||
@ -430,30 +309,6 @@ if( WHISPER_OPENVINO )
|
||||
find_package(OpenVINO REQUIRED COMPONENTS Runtime)
|
||||
endif()
|
||||
|
||||
if (WHISPER_SYCL)
|
||||
if ( NOT DEFINED ENV{ONEAPI_ROOT})
|
||||
message(FATAL_ERROR "Not detect ENV {ONEAPI_ROOT}, please install oneAPI & source it, like: source /opt/intel/oneapi/setvars.sh")
|
||||
endif()
|
||||
#todo: AOT
|
||||
|
||||
find_package(IntelSYCL REQUIRED)
|
||||
if (WHISPER_SYCL_F16)
|
||||
add_compile_definitions(GGML_SYCL_F16)
|
||||
endif()
|
||||
add_compile_definitions(GGML_USE_SYCL)
|
||||
|
||||
add_compile_options(-I./) #include DPCT
|
||||
add_compile_options(-I/${SYCL_INCLUDE_DIR})
|
||||
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-narrowing")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O3")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsycl -L${MKLROOT}/lib")
|
||||
|
||||
set(GGML_HEADERS_SYCL ggml-sycl.h)
|
||||
set(GGML_SOURCES_SYCL ggml-sycl.cpp)
|
||||
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} sycl OpenCL mkl_core pthread m dl mkl_sycl_blas mkl_intel_ilp64 mkl_tbb_thread)
|
||||
endif()
|
||||
# compiler flags
|
||||
|
||||
if (NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES)
|
||||
@ -502,30 +357,16 @@ else()
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /utf-8")
|
||||
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /utf-8")
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /utf-8")
|
||||
if(NOT WHISPER_NO_AVX512)
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX512")
|
||||
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /arch:AVX512")
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /arch:AVX512")
|
||||
# MSVC has no compile-time flags enabling specific
|
||||
# AVX512 extensions, neither it defines the
|
||||
# macros corresponding to the extensions.
|
||||
# Do it manually.
|
||||
if (NOT WHISPER_NO_AVX512_VBMI)
|
||||
add_compile_definitions($<$<COMPILE_LANGUAGE:C>:__AVX512VBMI__>)
|
||||
add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512VBMI__>)
|
||||
endif()
|
||||
if (NOT WHISPER_NO_AVX512_VNNI)
|
||||
add_compile_definitions($<$<COMPILE_LANGUAGE:C>:__AVX512VNNI__>)
|
||||
add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512VNNI__>)
|
||||
endif()
|
||||
elseif(NOT WHISPER_NO_AVX2)
|
||||
if(NOT WHISPER_NO_AVX2)
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX2")
|
||||
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /arch:AVX2")
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /arch:AVX2")
|
||||
elseif(NOT WHISPER_NO_AVX)
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX")
|
||||
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /arch:AVX")
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /arch:AVX")
|
||||
else()
|
||||
if(NOT WHISPER_NO_AVX)
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX")
|
||||
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /arch:AVX")
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /arch:AVX")
|
||||
endif()
|
||||
endif()
|
||||
else()
|
||||
if (EMSCRIPTEN)
|
||||
@ -538,15 +379,6 @@ else()
|
||||
if(NOT WHISPER_NO_AVX2)
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx2")
|
||||
endif()
|
||||
if(NOT WHISPER_NO_AVX512)
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw")
|
||||
if(NOT WHISPER_NO_AVX512_VBMI)
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx512vbmi")
|
||||
endif()
|
||||
if(NOT WHISPER_NO_AVX512_VNNI)
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx512vnni")
|
||||
endif()
|
||||
endif()
|
||||
if(NOT WHISPER_NO_FMA)
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mfma")
|
||||
endif()
|
||||
@ -633,7 +465,6 @@ if (WHISPER_COREML)
|
||||
set_target_properties(${TARGET} PROPERTIES
|
||||
COMPILE_FLAGS "-fobjc-arc"
|
||||
)
|
||||
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
|
||||
endif()
|
||||
|
||||
if (WHISPER_OPENVINO)
|
||||
@ -652,7 +483,6 @@ if (WHISPER_OPENVINO)
|
||||
set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DWHISPER_USE_OPENVINO)
|
||||
|
||||
target_link_libraries(${TARGET} PRIVATE openvino::runtime)
|
||||
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
|
||||
endif()
|
||||
|
||||
#
|
||||
@ -673,25 +503,10 @@ add_library(${TARGET}
|
||||
${GGML_SOURCES_METAL}
|
||||
${GGML_SOURCES_CUDA}
|
||||
${GGML_SOURCES_OPENCL}
|
||||
${GGML_SOURCES_SYCL} ${GGML_HEADERS_SYCL}
|
||||
${GGML_SOURCES_ROCM} ${GGML_HEADERS_ROCM}
|
||||
whisper.h
|
||||
whisper.cpp
|
||||
)
|
||||
|
||||
if (WHISPER_CUDA)
|
||||
target_sources(${TARGET} PRIVATE whisper-mel-cuda.cu)
|
||||
endif()
|
||||
|
||||
include_directories (
|
||||
.
|
||||
)
|
||||
# Set the version numbers
|
||||
set_target_properties(whisper PROPERTIES
|
||||
VERSION ${PROJECT_VERSION}
|
||||
SOVERSION ${SOVERSION}
|
||||
)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
|
||||
target_include_directories(${TARGET} PUBLIC
|
||||
@ -706,10 +521,6 @@ if (WHISPER_OPENVINO)
|
||||
target_link_libraries(${TARGET} PRIVATE whisper.openvino)
|
||||
endif()
|
||||
|
||||
if (WHISPER_MKL)
|
||||
target_link_libraries(${TARGET} PUBLIC MKL::MKL)
|
||||
endif()
|
||||
|
||||
if (MSVC)
|
||||
target_link_libraries(${TARGET} PRIVATE ${WHISPER_EXTRA_LIBS} ${CMAKE_THREAD_LIBS_INIT})
|
||||
|
||||
@ -762,7 +573,6 @@ target_compile_definitions(${TARGET} PUBLIC
|
||||
)
|
||||
|
||||
set_target_properties(${TARGET} PROPERTIES PUBLIC_HEADER "ggml.h;whisper.h")
|
||||
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
|
||||
|
||||
include(GNUInstallDirs)
|
||||
|
||||
|
2
LICENSE
2
LICENSE
@ -1,6 +1,6 @@
|
||||
MIT License
|
||||
|
||||
Copyright (c) 2023-2024 The ggml authors
|
||||
Copyright (c) 2023 Georgi Gerganov
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
|
162
Makefile
162
Makefile
@ -18,17 +18,6 @@ ifndef NVCC_VERSION
|
||||
endif
|
||||
endif
|
||||
|
||||
# In GNU make default CXX is g++ instead of c++. Let's fix that so that users
|
||||
# of non-gcc compilers don't have to provide g++ alias or wrapper.
|
||||
DEFCC := cc
|
||||
DEFCXX := c++
|
||||
ifeq ($(origin CC),default)
|
||||
CC := $(DEFCC)
|
||||
endif
|
||||
ifeq ($(origin CXX),default)
|
||||
CXX := $(DEFCXX)
|
||||
endif
|
||||
|
||||
CCV := $(shell $(CC) --version | head -n 1)
|
||||
CXXV := $(shell $(CXX) --version | head -n 1)
|
||||
|
||||
@ -142,68 +131,41 @@ ifeq ($(UNAME_M),$(filter $(UNAME_M),x86_64 i686 amd64))
|
||||
CPUINFO_CMD := sysinfo -cpu
|
||||
endif
|
||||
|
||||
# x86 ISA extensions (chronological order)
|
||||
ifdef CPUINFO_CMD
|
||||
SSE3_M := $(shell $(CPUINFO_CMD) | grep -iwE 'PNI|SSE3')
|
||||
SSSE3_M := $(shell $(CPUINFO_CMD) | grep -iw 'SSSE3')
|
||||
AVX_M := $(shell $(CPUINFO_CMD) | grep -iwE 'AVX|AVX1.0')
|
||||
F16C_M := $(shell $(CPUINFO_CMD) | grep -iw 'F16C')
|
||||
FMA_M := $(shell $(CPUINFO_CMD) | grep -iw 'FMA')
|
||||
AVX2_M := $(shell $(CPUINFO_CMD) | grep -iw 'AVX2')
|
||||
AVX512F_M := $(shell $(CPUINFO_CMD) | grep -iw 'AVX512F')
|
||||
AVX512VBMI_M := $(shell $(CPUINFO_CMD) | grep -iw 'AVX512VBMI')
|
||||
AVX512VNNI_M := $(shell $(CPUINFO_CMD) | grep -iwE 'AVX512_VNNI|AVX512VNNI')
|
||||
|
||||
# AVX-512 has many subsets, so let's make it easy to disable them all
|
||||
ifneq ($(filter-out 0,$(WHISPER_NO_AVX512)),)
|
||||
AVX512F_M :=
|
||||
AVX512VBMI_M :=
|
||||
AVX512VNNI_M :=
|
||||
endif
|
||||
|
||||
ifneq (,$(SSE3_M))
|
||||
CFLAGS += -msse3
|
||||
CXXFLAGS += -msse3
|
||||
endif
|
||||
|
||||
ifneq (,$(SSSE3_M))
|
||||
CFLAGS += -mssse3
|
||||
CXXFLAGS += -mssse3
|
||||
endif
|
||||
|
||||
ifneq (,$(AVX_M))
|
||||
CFLAGS += -mavx
|
||||
CXXFLAGS += -mavx
|
||||
endif
|
||||
|
||||
ifneq (,$(F16C_M))
|
||||
CFLAGS += -mf16c
|
||||
CXXFLAGS += -mf16c
|
||||
endif
|
||||
|
||||
ifneq (,$(FMA_M))
|
||||
CFLAGS += -mfma
|
||||
CXXFLAGS += -mfma
|
||||
endif
|
||||
|
||||
AVX2_M := $(shell $(CPUINFO_CMD) | grep -iw 'AVX2')
|
||||
ifneq (,$(AVX2_M))
|
||||
CFLAGS += -mavx2
|
||||
CXXFLAGS += -mavx2
|
||||
endif
|
||||
|
||||
ifneq (,$(AVX512F_M))
|
||||
CFLAGS += -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw
|
||||
CXXFLAGS += -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw
|
||||
FMA_M := $(shell $(CPUINFO_CMD) | grep -iw 'FMA')
|
||||
ifneq (,$(FMA_M))
|
||||
CFLAGS += -mfma
|
||||
CXXFLAGS += -mfma
|
||||
endif
|
||||
|
||||
ifneq (,$(AVX512VBMI_M))
|
||||
CFLAGS += -mavx512vbmi
|
||||
CXXFLAGS += -mavx512vbmi
|
||||
F16C_M := $(shell $(CPUINFO_CMD) | grep -iw 'F16C')
|
||||
ifneq (,$(F16C_M))
|
||||
CFLAGS += -mf16c
|
||||
CXXFLAGS += -mf16c
|
||||
endif
|
||||
|
||||
ifneq (,$(AVX512VNNI_M))
|
||||
CFLAGS += -mavx512vnni
|
||||
CXXFLAGS += -mavx512vnni
|
||||
SSE3_M := $(shell $(CPUINFO_CMD) | grep -iwE 'PNI|SSE3')
|
||||
ifneq (,$(SSE3_M))
|
||||
CFLAGS += -msse3
|
||||
CXXFLAGS += -msse3
|
||||
endif
|
||||
|
||||
SSSE3_M := $(shell $(CPUINFO_CMD) | grep -iw 'SSSE3')
|
||||
ifneq (,$(SSSE3_M))
|
||||
CFLAGS += -mssse3
|
||||
CXXFLAGS += -mssse3
|
||||
endif
|
||||
endif
|
||||
endif
|
||||
@ -223,8 +185,6 @@ ifndef WHISPER_NO_ACCELERATE
|
||||
# Mac M1 - include Accelerate framework
|
||||
ifeq ($(UNAME_S),Darwin)
|
||||
CFLAGS += -DGGML_USE_ACCELERATE
|
||||
CFLAGS += -DACCELERATE_NEW_LAPACK
|
||||
CFLAGS += -DACCELERATE_LAPACK_ILP64
|
||||
LDFLAGS += -framework Accelerate
|
||||
endif
|
||||
endif
|
||||
@ -248,76 +208,41 @@ ifndef WHISPER_NO_METAL
|
||||
endif
|
||||
endif
|
||||
|
||||
ifneq ($(filter-out 0,$(WHISPER_OPENBLAS)),) # OpenBLAS
|
||||
WHISPER_OPENBLAS_INTERFACE64 ?= 0 # use 32-bit interface by default
|
||||
ifneq ($(filter-out 0,$(WHISPER_OPENBLAS_INTERFACE64)),)
|
||||
WHISPER_BLAS_LIB := openblas64
|
||||
else
|
||||
WHISPER_BLAS_LIB := openblas
|
||||
endif
|
||||
ifneq ($(OPENBLAS_PATH),)
|
||||
WHISPER_BLAS_CFLAGS := -I$(OPENBLAS_PATH)/include
|
||||
WHISPER_BLAS_LDFLAGS := -L$(OPENBLAS_PATH)/lib -l$(WHISPER_BLAS_LIB)
|
||||
else
|
||||
WHISPER_BLAS_LIB_PC_EXISTS := $(shell pkg-config --exists $(WHISPER_BLAS_LIB) && echo 1)
|
||||
ifneq ($(filter-out 0,$(WHISPER_BLAS_LIB_PC_EXISTS)),)
|
||||
WHISPER_BLAS_CFLAGS := $(shell pkg-config --cflags $(WHISPER_BLAS_LIB))
|
||||
WHISPER_BLAS_LDFLAGS := $(shell pkg-config --libs $(WHISPER_BLAS_LIB))
|
||||
else
|
||||
WHISPER_BLAS_CFLAGS := -I/usr/include/openblas
|
||||
WHISPER_BLAS_LDFLAGS := -l$(WHISPER_BLAS_LIB)
|
||||
endif
|
||||
endif
|
||||
CFLAGS += $(WHISPER_BLAS_CFLAGS) -DGGML_USE_OPENBLAS
|
||||
LDFLAGS += $(WHISPER_BLAS_LDFLAGS)
|
||||
ifdef WHISPER_OPENBLAS
|
||||
CFLAGS += -DGGML_USE_OPENBLAS -I/usr/local/include/openblas -I/usr/include/openblas
|
||||
LDFLAGS += -lopenblas
|
||||
endif
|
||||
|
||||
ifdef WHISPER_CUBLAS
|
||||
# WHISPER_CUBLAS is deprecated and will be removed in the future
|
||||
WHISPER_CUDA := 1
|
||||
endif
|
||||
|
||||
ifdef WHISPER_CUDA
|
||||
ifeq ($(shell expr $(NVCC_VERSION) \>= 11.6), 1)
|
||||
CUDA_ARCH_FLAG ?= native
|
||||
else
|
||||
CUDA_ARCH_FLAG ?= all
|
||||
endif
|
||||
|
||||
CFLAGS += -DGGML_USE_CUDA -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include
|
||||
CXXFLAGS += -DGGML_USE_CUDA -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include
|
||||
LDFLAGS += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lcufft -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib -L/usr/lib/wsl/lib
|
||||
WHISPER_OBJ += ggml-cuda.o whisper-mel-cuda.o
|
||||
WHISPER_OBJ += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/*.cu))
|
||||
CFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include
|
||||
CXXFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include
|
||||
LDFLAGS += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib
|
||||
WHISPER_OBJ += ggml-cuda.o
|
||||
NVCC = nvcc
|
||||
NVCCFLAGS = --forward-unknown-to-host-compiler -arch=$(CUDA_ARCH_FLAG)
|
||||
|
||||
ggml-cuda/%.o: ggml-cuda/%.cu ggml-cuda/%.cuh ggml.h ggml-common.h ggml-cuda/common.cuh
|
||||
$(NVCC) $(NVCCFLAGS) $(CXXFLAGS) -c $< -o $@
|
||||
|
||||
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h ggml.h ggml-backend.h ggml-backend-impl.h ggml-common.h $(wildcard ggml-cuda/*.cuh)
|
||||
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h
|
||||
$(NVCC) $(NVCCFLAGS) $(CXXFLAGS) -Wno-pedantic -c $< -o $@
|
||||
endif
|
||||
|
||||
whisper-mel-cuda.o: whisper-mel-cuda.cu whisper.h ggml.h ggml-backend.h whisper-mel.hpp whisper-mel-cuda.hpp
|
||||
$(NVCC) $(NVCCFLAGS) $(CXXFLAGS) -Wno-pedantic -c $< -o $@
|
||||
|
||||
ifdef WHISPER_HIPBLAS
|
||||
ROCM_PATH ?= /opt/rocm
|
||||
HIPCC ?= $(ROCM_PATH)/bin/hipcc
|
||||
GPU_TARGETS ?= $(shell $(ROCM_PATH)/llvm/bin/amdgpu-arch)
|
||||
CFLAGS += -DGGML_USE_HIPBLAS -DGGML_USE_CUDA
|
||||
CXXFLAGS += -DGGML_USE_HIPBLAS -DGGML_USE_CUDA
|
||||
CFLAGS += -DGGML_USE_HIPBLAS -DGGML_USE_CUBLAS
|
||||
CXXFLAGS += -DGGML_USE_HIPBLAS -DGGML_USE_CUBLAS
|
||||
LDFLAGS += -L$(ROCM_PATH)/lib -Wl,-rpath=$(ROCM_PATH)/lib
|
||||
LDFLAGS += -lhipblas -lamdhip64 -lrocblas
|
||||
HIPFLAGS += $(addprefix --offload-arch=,$(GPU_TARGETS))
|
||||
WHISPER_OBJ += ggml-cuda.o
|
||||
WHISPER_OBJ += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/*.cu))
|
||||
|
||||
ggml-cuda/%.o: ggml-cuda/%.cu ggml-cuda/%.cuh ggml.h ggml-common.h ggml-cuda/common.cuh
|
||||
$(HIPCC) $(CXXFLAGS) $(HIPFLAGS) -x hip -c -o $@ $<
|
||||
|
||||
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h ggml.h ggml-backend.h ggml-backend-impl.h ggml-common.h $(wildcard ggml-cuda/*.cuh)
|
||||
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h
|
||||
$(HIPCC) $(CXXFLAGS) $(HIPFLAGS) -x hip -c -o $@ $<
|
||||
endif
|
||||
|
||||
@ -382,13 +307,6 @@ $(info I CC: $(CCV))
|
||||
$(info I CXX: $(CXXV))
|
||||
$(info )
|
||||
|
||||
ifdef WHISPER_CUBLAS
|
||||
$(info !!!!)
|
||||
$(info WHISPER_CUBLAS is deprecated and will be removed in the future. Use WHISPER_CUDA instead.)
|
||||
$(info !!!!)
|
||||
$(info )
|
||||
endif
|
||||
|
||||
#
|
||||
# Build library
|
||||
#
|
||||
@ -407,7 +325,7 @@ ggml-quants.o: ggml-quants.c ggml.h ggml-quants.h
|
||||
|
||||
WHISPER_OBJ += ggml.o ggml-alloc.o ggml-backend.o ggml-quants.o
|
||||
|
||||
whisper.o: whisper.cpp whisper.h whisper-mel.hpp ggml.h ggml-cuda.h
|
||||
whisper.o: whisper.cpp whisper.h ggml.h ggml-cuda.h
|
||||
$(CXX) $(CXXFLAGS) -c $< -o $@
|
||||
|
||||
ifndef WHISPER_COREML
|
||||
@ -431,19 +349,17 @@ WHISPER_OBJ += ggml-metal.o
|
||||
ifdef WHISPER_METAL_EMBED_LIBRARY
|
||||
CFLAGS += -DGGML_METAL_EMBED_LIBRARY
|
||||
|
||||
ggml-metal-embed.o: ggml-metal.metal ggml-common.h
|
||||
ggml-metal-embed.o: ggml-metal.metal
|
||||
@echo "Embedding Metal library"
|
||||
$(eval TEMP_ASSEMBLY=$(shell mktemp))
|
||||
$(eval TEMP_METALLIB=$(shell mktemp))
|
||||
@sed "/^#include \"ggml-common.h\"/{r ggml-common.h"$$'\n'"d;}" ggml-metal.metal > $(TEMP_METALLIB)
|
||||
@echo ".section __DATA, __ggml_metallib" > $(TEMP_ASSEMBLY)
|
||||
@echo ".globl _ggml_metallib_start" >> $(TEMP_ASSEMBLY)
|
||||
@echo "_ggml_metallib_start:" >> $(TEMP_ASSEMBLY)
|
||||
@echo ".incbin \"$(TEMP_METALLIB)\"" >> $(TEMP_ASSEMBLY)
|
||||
@echo ".incbin \"$<\"" >> $(TEMP_ASSEMBLY)
|
||||
@echo ".globl _ggml_metallib_end" >> $(TEMP_ASSEMBLY)
|
||||
@echo "_ggml_metallib_end:" >> $(TEMP_ASSEMBLY)
|
||||
@$(AS) $(TEMP_ASSEMBLY) -o $@
|
||||
@rm -f $(TEMP_ASSEMBLY) $(TEMP_METALLIB)
|
||||
@rm -f ${TEMP_ASSEMBLY}
|
||||
|
||||
WHISPER_OBJ += ggml-metal-embed.o
|
||||
endif
|
||||
@ -464,7 +380,7 @@ clean:
|
||||
|
||||
CC_SDL=`sdl2-config --cflags --libs`
|
||||
|
||||
SRC_COMMON = examples/common.cpp examples/common-ggml.cpp examples/grammar-parser.cpp
|
||||
SRC_COMMON = examples/common.cpp examples/common-ggml.cpp
|
||||
SRC_COMMON_SDL = examples/common-sdl.cpp
|
||||
|
||||
main: examples/main/main.cpp $(SRC_COMMON) $(WHISPER_OBJ)
|
||||
@ -483,8 +399,8 @@ server: examples/server/server.cpp $(SRC_COMMON) $(WHISPER_OBJ)
|
||||
stream: examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o stream $(CC_SDL) $(LDFLAGS)
|
||||
|
||||
command: examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o command $(CC_SDL) $(LDFLAGS)
|
||||
command: examples/command/command.cpp examples/grammar-parser.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/command/command.cpp examples/grammar-parser.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o command $(CC_SDL) $(LDFLAGS)
|
||||
|
||||
lsp: examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o lsp $(CC_SDL) $(LDFLAGS)
|
||||
@ -492,8 +408,8 @@ lsp: examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
talk: examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o talk $(CC_SDL) $(LDFLAGS)
|
||||
|
||||
talk-llama: examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp examples/talk-llama/unicode.cpp examples/talk-llama/unicode-data.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp examples/talk-llama/unicode.cpp examples/talk-llama/unicode-data.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o talk-llama $(CC_SDL) $(LDFLAGS)
|
||||
talk-llama: examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o talk-llama $(CC_SDL) $(LDFLAGS)
|
||||
|
||||
#
|
||||
# Audio samples
|
||||
|
@ -13,9 +13,13 @@ let package = Package(
|
||||
products: [
|
||||
.library(name: "whisper", targets: ["whisper"]),
|
||||
],
|
||||
dependencies: [
|
||||
.package(url: "https://github.com/ggerganov/ggml.git", .branch("release"))
|
||||
],
|
||||
targets: [
|
||||
.target(
|
||||
name: "whisper",
|
||||
dependencies: ["ggml"],
|
||||
path: ".",
|
||||
exclude: [
|
||||
"bindings",
|
||||
@ -32,14 +36,8 @@ let package = Package(
|
||||
"Makefile"
|
||||
],
|
||||
sources: [
|
||||
"ggml.c",
|
||||
"whisper.cpp",
|
||||
"ggml-alloc.c",
|
||||
"ggml-backend.c",
|
||||
"ggml-quants.c",
|
||||
"ggml-metal.m"
|
||||
],
|
||||
resources: [.process("ggml-metal.metal")],
|
||||
publicHeadersPath: "spm-headers",
|
||||
cSettings: [
|
||||
.unsafeFlags(["-Wno-shorten-64-to-32", "-O3", "-DNDEBUG"]),
|
||||
|
46
README.md
46
README.md
@ -4,10 +4,9 @@
|
||||
|
||||
[](https://github.com/ggerganov/whisper.cpp/actions)
|
||||
[](https://opensource.org/licenses/MIT)
|
||||
[](https://conan.io/center/whisper-cpp)
|
||||
[](https://www.npmjs.com/package/whisper.cpp/)
|
||||
|
||||
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)
|
||||
Stable: [v1.5.4](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.5.4) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
|
||||
|
||||
High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisper) automatic speech recognition (ASR) model:
|
||||
|
||||
@ -279,7 +278,6 @@ speed-up - more than x3 faster compared with CPU-only execution. Here are the in
|
||||
|
||||
- To ensure `coremltools` operates correctly, please confirm that [Xcode](https://developer.apple.com/xcode/) is installed and execute `xcode-select --install` to install the command-line tools.
|
||||
- Python 3.10 is recommended.
|
||||
- MacOS Sonoma (version 14) or newer is recommended, as older versions of MacOS might experience issues with transcription hallucination.
|
||||
- [OPTIONAL] It is recommended to utilize a Python version management system, such as [Miniconda](https://docs.conda.io/en/latest/miniconda.html) for this step:
|
||||
- To create an environment, use: `conda create -n py310-whisper python=3.10 -y`
|
||||
- To activate the environment, use: `conda activate py310-whisper`
|
||||
@ -341,7 +339,7 @@ This can result in significant speedup in encoder performance. Here are the inst
|
||||
python -m venv openvino_conv_env
|
||||
openvino_conv_env\Scripts\activate
|
||||
python -m pip install --upgrade pip
|
||||
pip install -r requirements-openvino.txt
|
||||
pip install -r openvino-conversion-requirements.txt
|
||||
```
|
||||
|
||||
Linux and macOS:
|
||||
@ -351,7 +349,7 @@ This can result in significant speedup in encoder performance. Here are the inst
|
||||
python3 -m venv openvino_conv_env
|
||||
source openvino_conv_env/bin/activate
|
||||
python -m pip install --upgrade pip
|
||||
pip install -r requirements-openvino.txt
|
||||
pip install -r openvino-conversion-requirements.txt
|
||||
```
|
||||
|
||||
- Generate an OpenVINO encoder model. For example, to generate a `base.en` model, use:
|
||||
@ -415,11 +413,11 @@ For more information about the Core ML implementation please refer to PR [#1037]
|
||||
With NVIDIA cards the processing of the models is done efficiently on the GPU via cuBLAS and custom CUDA kernels.
|
||||
First, make sure you have installed `cuda`: https://developer.nvidia.com/cuda-downloads
|
||||
|
||||
Now build `whisper.cpp` with CUDA support:
|
||||
Now build `whisper.cpp` with cuBLAS support:
|
||||
|
||||
```
|
||||
make clean
|
||||
WHISPER_CUDA=1 make -j
|
||||
WHISPER_CUBLAS=1 make -j
|
||||
```
|
||||
|
||||
## OpenCL GPU support via CLBlast
|
||||
@ -456,21 +454,6 @@ make clean
|
||||
WHISPER_OPENBLAS=1 make -j
|
||||
```
|
||||
|
||||
## BLAS CPU support via Intel MKL
|
||||
|
||||
Encoder processing can be accelerated on the CPU via the BLAS compatible interface of Intel's Math Kernel Library.
|
||||
First, make sure you have installed Intel's MKL runtime and development packages: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-download.html
|
||||
|
||||
Now build `whisper.cpp` with Intel MKL BLAS support:
|
||||
|
||||
```
|
||||
source /opt/intel/oneapi/setvars.sh
|
||||
mkdir build
|
||||
cd build
|
||||
cmake -DWHISPER_MKL=ON ..
|
||||
WHISPER_MKL=1 make -j
|
||||
```
|
||||
|
||||
## Docker
|
||||
|
||||
### Prerequisites
|
||||
@ -503,16 +486,6 @@ docker run -it --rm \
|
||||
whisper.cpp:main "./main -m /models/ggml-base.bin -f ./samples/jfk.wav"
|
||||
```
|
||||
|
||||
## Installing with Conan
|
||||
|
||||
You can install pre-built binaries for whisper.cpp or build it from source using [Conan](https://conan.io/). Use the following command:
|
||||
|
||||
```
|
||||
conan install --requires="whisper-cpp/[*]" --build=missing
|
||||
```
|
||||
|
||||
For detailed instructions on how to use Conan, please refer to the [Conan documentation](https://docs.conan.io/2/).
|
||||
|
||||
## Limitations
|
||||
|
||||
- Inference only
|
||||
@ -721,7 +694,7 @@ The [main](examples/main) example provides support for output of karaoke-style m
|
||||
currently pronounced word is highlighted. Use the `-wts` argument and run the generated bash script.
|
||||
This requires to have `ffmpeg` installed.
|
||||
|
||||
Here are a few _"typical"_ examples:
|
||||
Here are a few *"typical"* examples:
|
||||
|
||||
```bash
|
||||
./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -owts
|
||||
@ -755,10 +728,10 @@ https://user-images.githubusercontent.com/1991296/199337538-b7b0c7a3-2753-4a88-a
|
||||
|
||||
## Video comparison of different models
|
||||
|
||||
Use the [scripts/bench-wts.sh](https://github.com/ggerganov/whisper.cpp/blob/master/scripts/bench-wts.sh) script to generate a video in the following format:
|
||||
Use the [extra/bench-wts.sh](https://github.com/ggerganov/whisper.cpp/blob/master/extra/bench-wts.sh) script to generate a video in the following format:
|
||||
|
||||
```bash
|
||||
./scripts/bench-wts.sh samples/jfk.wav
|
||||
./extra/bench-wts.sh samples/jfk.wav
|
||||
ffplay ./samples/jfk.wav.all.mp4
|
||||
```
|
||||
|
||||
@ -779,7 +752,7 @@ Additionally a script to run whisper.cpp with different models and audio files i
|
||||
You can run it with the following command, by default it will run against any standard model in the models folder.
|
||||
|
||||
```bash
|
||||
python3 scripts/bench.py -f samples/jfk.wav -t 2,4,8 -p 1,2
|
||||
python3 extra/bench.py -f samples/jfk.wav -t 2,4,8 -p 1,2
|
||||
```
|
||||
|
||||
It is written in python with the intention of being easy to modify and extend for your benchmarking use case.
|
||||
@ -819,7 +792,6 @@ For more details, see the conversion script [models/convert-pt-to-ggml.py](model
|
||||
- [NickDarvey/whisper](https://github.com/NickDarvey/whisper)
|
||||
- [x] Python: | [#9](https://github.com/ggerganov/whisper.cpp/issues/9)
|
||||
- [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)
|
||||
- [x] R: [bnosac/audio.whisper](https://github.com/bnosac/audio.whisper)
|
||||
- [x] Unity: [macoron/whisper.unity](https://github.com/Macoron/whisper.unity)
|
||||
|
249
README_sycl.md
249
README_sycl.md
@ -1,249 +0,0 @@
|
||||
# whisper.cpp for SYCL
|
||||
|
||||
[Background](#background)
|
||||
|
||||
[OS](#os)
|
||||
|
||||
[Intel GPU](#intel-gpu)
|
||||
|
||||
[Linux](#linux)
|
||||
|
||||
[Environment Variable](#environment-variable)
|
||||
|
||||
[Known Issue](#known-issue)
|
||||
|
||||
[Todo](#todo)
|
||||
|
||||
## Background
|
||||
|
||||
SYCL is a higher-level programming model to improve programming productivity on various hardware accelerators<72>such as CPUs, GPUs, and FPGAs. It is a single-source embedded domain-specific language based on pure C++17.
|
||||
|
||||
oneAPI is a specification that is open and standards-based, supporting multiple architecture types including but not limited to GPU, CPU, and FPGA. The spec has both direct programming and API-based programming paradigms.
|
||||
|
||||
Intel uses the SYCL as direct programming language to support CPU, GPUs and FPGAs.
|
||||
|
||||
To avoid re-inventing the wheel, this code refers other code paths in llama.cpp (like OpenBLAS, cuBLAS, CLBlast). We use a open-source tool [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) (Commercial release [Intel<EFBFBD> DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) migrate to SYCL.
|
||||
|
||||
The whisper.cpp for SYCL is used to support Intel GPUs.
|
||||
|
||||
For Intel CPU, recommend to use whisper.cpp for X86 (Intel MKL build).
|
||||
|
||||
## OS
|
||||
|
||||
|OS|Status|Verified|
|
||||
|-|-|-|
|
||||
|Linux|Support|Ubuntu 22.04|
|
||||
|Windows|Ongoing| |
|
||||
|
||||
|
||||
## Intel GPU
|
||||
|
||||
|Intel GPU| Status | Verified Model|
|
||||
|-|-|-|
|
||||
|Intel Data Center Max Series| Support| Max 1550|
|
||||
|Intel Data Center Flex Series| Support| Flex 170|
|
||||
|Intel Arc Series| Support| Arc 770|
|
||||
|Intel built-in Arc GPU| Support| built-in Arc GPU in Meteor Lake|
|
||||
|Intel iGPU| Support| iGPU in i5-1250P, i7-1165G7|
|
||||
|
||||
|
||||
## Linux
|
||||
|
||||
### Setup Environment
|
||||
|
||||
1. Install Intel GPU driver.
|
||||
|
||||
a. Please install Intel GPU driver by official guide: [Install GPU Drivers](https://dgpu-docs.intel.com/driver/installation.html).
|
||||
|
||||
Note: for iGPU, please install the client GPU driver.
|
||||
|
||||
b. Add user to group: video, render.
|
||||
|
||||
```
|
||||
sudo usermod -aG render username
|
||||
sudo usermod -aG video username
|
||||
```
|
||||
|
||||
Note: re-login to enable it.
|
||||
|
||||
c. Check
|
||||
|
||||
```
|
||||
sudo apt install clinfo
|
||||
sudo clinfo -l
|
||||
```
|
||||
|
||||
Output (example):
|
||||
|
||||
```
|
||||
Platform #0: Intel(R) OpenCL Graphics
|
||||
`-- Device #0: Intel(R) Arc(TM) A770 Graphics
|
||||
|
||||
|
||||
Platform #0: Intel(R) OpenCL HD Graphics
|
||||
`-- Device #0: Intel(R) Iris(R) Xe Graphics [0x9a49]
|
||||
```
|
||||
|
||||
2. Install Intel<65> oneAPI Base toolkit.
|
||||
|
||||
|
||||
a. Please follow the procedure in [Get the Intel<65> oneAPI Base Toolkit ](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html).
|
||||
|
||||
Recommend to install to default folder: **/opt/intel/oneapi**.
|
||||
|
||||
Following guide use the default folder as example. If you use other folder, please modify the following guide info with your folder.
|
||||
|
||||
b. Check
|
||||
|
||||
```
|
||||
source /opt/intel/oneapi/setvars.sh
|
||||
|
||||
sycl-ls
|
||||
```
|
||||
|
||||
There should be one or more level-zero devices. Like **[ext_oneapi_level_zero:gpu:0]**.
|
||||
|
||||
Output (example):
|
||||
```
|
||||
[opencl:acc:0] Intel(R) FPGA Emulation Platform for OpenCL(TM), Intel(R) FPGA Emulation Device OpenCL 1.2 [2023.16.10.0.17_160000]
|
||||
[opencl:cpu:1] Intel(R) OpenCL, 13th Gen Intel(R) Core(TM) i7-13700K OpenCL 3.0 (Build 0) [2023.16.10.0.17_160000]
|
||||
[opencl:gpu:2] Intel(R) OpenCL Graphics, Intel(R) Arc(TM) A770 Graphics OpenCL 3.0 NEO [23.30.26918.50]
|
||||
[ext_oneapi_level_zero:gpu:0] Intel(R) Level-Zero, Intel(R) Arc(TM) A770 Graphics 1.3 [1.3.26918]
|
||||
|
||||
```
|
||||
|
||||
2. Build locally:
|
||||
|
||||
```
|
||||
mkdir -p build
|
||||
cd build
|
||||
source /opt/intel/oneapi/setvars.sh
|
||||
|
||||
#for FP16
|
||||
#cmake .. -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DWHISPER_SYCL_F16=ON
|
||||
|
||||
#for FP32
|
||||
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
|
||||
|
||||
```
|
||||
|
||||
or
|
||||
|
||||
```
|
||||
./examples/sycl/build.sh
|
||||
```
|
||||
|
||||
Note:
|
||||
|
||||
- By default, it will build for all binary files. It will take more time. To reduce the time, we recommend to build for **example/main** only.
|
||||
|
||||
### Run
|
||||
|
||||
1. Put model file to folder **models**
|
||||
|
||||
2. Enable oneAPI running environment
|
||||
|
||||
```
|
||||
source /opt/intel/oneapi/setvars.sh
|
||||
```
|
||||
|
||||
3. List device ID
|
||||
|
||||
Run without parameter:
|
||||
|
||||
```
|
||||
./build/bin/ls-sycl-device
|
||||
|
||||
or
|
||||
|
||||
./build/bin/main
|
||||
```
|
||||
|
||||
Check the ID in startup log, like:
|
||||
|
||||
```
|
||||
found 4 SYCL devices:
|
||||
Device 0: Intel(R) Arc(TM) A770 Graphics, compute capability 1.3,
|
||||
max compute_units 512, max work group size 1024, max sub group size 32, global mem size 16225243136
|
||||
Device 1: Intel(R) FPGA Emulation Device, compute capability 1.2,
|
||||
max compute_units 24, max work group size 67108864, max sub group size 64, global mem size 67065057280
|
||||
Device 2: 13th Gen Intel(R) Core(TM) i7-13700K, compute capability 3.0,
|
||||
max compute_units 24, max work group size 8192, max sub group size 64, global mem size 67065057280
|
||||
Device 3: Intel(R) Arc(TM) A770 Graphics, compute capability 3.0,
|
||||
max compute_units 512, max work group size 1024, max sub group size 32, global mem size 16225243136
|
||||
|
||||
```
|
||||
|
||||
|Attribute|Note|
|
||||
|-|-|
|
||||
|compute capability 1.3|Level-zero running time, recommended |
|
||||
|compute capability 3.0|OpenCL running time, slower than level-zero in most cases|
|
||||
|
||||
4. Set device ID and execute whisper.cpp
|
||||
|
||||
Set device ID = 0 by **GGML_SYCL_DEVICE=0**
|
||||
|
||||
```
|
||||
GGML_SYCL_DEVICE=0 ./build/bin/main -m models/ggml-base.en.bin -f samples/jfk.wav
|
||||
```
|
||||
or run by script:
|
||||
|
||||
```
|
||||
./examples/sycl/run_whisper.sh
|
||||
```
|
||||
|
||||
|
||||
|
||||
5. Check the device ID in output
|
||||
|
||||
Like:
|
||||
```
|
||||
Using device **0** (Intel(R) Arc(TM) A770 Graphics) as main device
|
||||
```
|
||||
|
||||
|
||||
## Environment Variable
|
||||
|
||||
#### Build
|
||||
|
||||
|Name|Value|Function|
|
||||
|-|-|-|
|
||||
|WHISPER_SYCL|ON (mandatory)|Enable build with SYCL code path. <br>For FP32/FP16, WHISPER_SYCL=ON is mandatory.|
|
||||
|WHISPER_SYCL_F16|ON (optional)|Enable FP16 build with SYCL code path.For FP32, do not set it.|
|
||||
|CMAKE_C_COMPILER|icx|Use icx compiler for SYCL code path|
|
||||
|CMAKE_CXX_COMPILER|icpx|use icpx for SYCL code path|
|
||||
|
||||
#### Running
|
||||
|
||||
|
||||
|Name|Value|Function|
|
||||
|-|-|-|
|
||||
|GGML_SYCL_DEVICE|0 (default) or 1|Set the device id used. Check the device ids by default running output|
|
||||
|GGML_SYCL_DEBUG|0 (default) or 1|Enable log function by macro: GGML_SYCL_DEBUG|
|
||||
|
||||
## Known Issue
|
||||
|
||||
- Error: `error while loading shared libraries: libsycl.so.7: cannot open shared object file: No such file or directory`.
|
||||
|
||||
Miss to enable oneAPI running environment.
|
||||
|
||||
Install oneAPI base toolkit and enable it by: `source /opt/intel/oneapi/setvars.sh`.
|
||||
|
||||
|
||||
- Hang during startup
|
||||
|
||||
llama.cpp use mmap as default way to read model file and copy to GPU. In some system, memcpy will be abnormal and block.
|
||||
|
||||
Solution: add **--no-mmap**.
|
||||
|
||||
## Todo
|
||||
|
||||
- Support to build in Windows.
|
||||
|
||||
- Support multiple cards.
|
@ -68,6 +68,10 @@ func (flags *Flags) GetOut() string {
|
||||
return strings.ToLower(flags.Lookup("out").Value.String())
|
||||
}
|
||||
|
||||
func (flags *Flags) IsSpeedup() bool {
|
||||
return flags.Lookup("speedup").Value.String() == "true"
|
||||
}
|
||||
|
||||
func (flags *Flags) IsTokens() bool {
|
||||
return flags.Lookup("tokens").Value.String() == "true"
|
||||
}
|
||||
@ -107,6 +111,10 @@ func (flags *Flags) SetParams(context whisper.Context) error {
|
||||
fmt.Fprintf(flags.Output(), "Setting duration to %v\n", duration)
|
||||
context.SetDuration(duration)
|
||||
}
|
||||
if flags.IsSpeedup() {
|
||||
fmt.Fprintf(flags.Output(), "Setting speedup to true\n")
|
||||
context.SetSpeedup(true)
|
||||
}
|
||||
if threads := flags.GetThreads(); threads != 0 {
|
||||
fmt.Fprintf(flags.Output(), "Setting threads to %d\n", threads)
|
||||
context.SetThreads(threads)
|
||||
@ -138,6 +146,7 @@ func registerFlags(flag *Flags) {
|
||||
flag.Duration("offset", 0, "Time offset")
|
||||
flag.Duration("duration", 0, "Duration of audio to process")
|
||||
flag.Uint("threads", 0, "Number of threads to use")
|
||||
flag.Bool("speedup", false, "Enable speedup")
|
||||
flag.Uint("max-len", 0, "Maximum segment length in characters")
|
||||
flag.Uint("max-tokens", 0, "Maximum tokens per segment")
|
||||
flag.Float64("word-thold", 0, "Maximum segment score")
|
||||
|
@ -47,6 +47,10 @@ func (p *Params) SetPrintTimestamps(v bool) {
|
||||
p.print_timestamps = toBool(v)
|
||||
}
|
||||
|
||||
func (p *Params) SetSpeedup(v bool) {
|
||||
p.speed_up = toBool(v)
|
||||
}
|
||||
|
||||
// Set language id
|
||||
func (p *Params) SetLanguage(lang int) error {
|
||||
if lang == -1 {
|
||||
@ -173,6 +177,9 @@ func (p *Params) String() string {
|
||||
if p.token_timestamps {
|
||||
str += " token_timestamps"
|
||||
}
|
||||
if p.speed_up {
|
||||
str += " speed_up"
|
||||
}
|
||||
|
||||
return str + ">"
|
||||
}
|
||||
|
@ -76,6 +76,11 @@ func (context *context) SetTranslate(v bool) {
|
||||
context.params.SetTranslate(v)
|
||||
}
|
||||
|
||||
// Set speedup flag
|
||||
func (context *context) SetSpeedup(v bool) {
|
||||
context.params.SetSpeedup(v)
|
||||
}
|
||||
|
||||
func (context *context) SetSplitOnWord(v bool) {
|
||||
context.params.SetSplitOnWord(v)
|
||||
}
|
||||
|
@ -41,6 +41,7 @@ type Context interface {
|
||||
SetOffset(time.Duration) // Set offset
|
||||
SetDuration(time.Duration) // Set duration
|
||||
SetThreads(uint) // Set number of threads to use
|
||||
SetSpeedup(bool) // Set speedup flag
|
||||
SetSplitOnWord(bool) // Set split on word flag
|
||||
SetTokenThreshold(float32) // Set timestamp token probability threshold
|
||||
SetTokenSumThreshold(float32) // Set timestamp token sum probability threshold
|
||||
|
@ -10,7 +10,7 @@ import (
|
||||
|
||||
/*
|
||||
#cgo LDFLAGS: -lwhisper -lm -lstdc++
|
||||
#cgo darwin LDFLAGS: -framework Accelerate -framework Metal -framework Foundation -framework CoreGraphics
|
||||
#cgo darwin LDFLAGS: -framework Accelerate
|
||||
#include <whisper.h>
|
||||
#include <stdlib.h>
|
||||
|
||||
|
Submodule bindings/ios updated: a2085436c2...b21b6ff325
@ -20,7 +20,7 @@ public interface WhisperCppJnaLibrary extends Library {
|
||||
* @return Whisper context on success, null on failure
|
||||
*/
|
||||
Pointer whisper_init_from_file(String path_model);
|
||||
|
||||
|
||||
/**
|
||||
* Provides default params which can be used with `whisper_init_from_file_with_params()` etc.
|
||||
* Because this function allocates memory for the params, the caller must call either:
|
||||
@ -304,6 +304,14 @@ public interface WhisperCppJnaLibrary extends Library {
|
||||
/** Language id associated with the provided state */
|
||||
int whisper_full_lang_id_from_state(Pointer state);
|
||||
|
||||
/**
|
||||
* Convert RAW PCM audio to log mel spectrogram but applies a Phase Vocoder to speed up the audio x2.
|
||||
* The resulting spectrogram is stored inside the default state of the provided whisper context.
|
||||
* @return 0 on success
|
||||
*/
|
||||
int whisper_pcm_to_mel_phase_vocoder(Pointer ctx, final float[] samples, int n_samples, int n_threads);
|
||||
|
||||
int whisper_pcm_to_mel_phase_vocoder_with_state(Pointer ctx, Pointer state, final float[] samples, int n_samples, int n_threads);
|
||||
|
||||
/** Get the start time of the specified segment. */
|
||||
long whisper_full_get_segment_t0(Pointer ctx, int i_segment);
|
||||
|
@ -129,6 +129,14 @@ public class WhisperFullParams extends Structure {
|
||||
/** Maximum tokens per segment (0, default = no limit) */
|
||||
public int max_tokens;
|
||||
|
||||
/** Flag to speed up the audio by 2x using Phase Vocoder. (default = false) */
|
||||
public CBool speed_up;
|
||||
|
||||
/** Flag to speed up the audio by 2x using Phase Vocoder. (default = false) */
|
||||
public void speedUp(boolean enable) {
|
||||
speed_up = enable ? CBool.TRUE : CBool.FALSE;
|
||||
}
|
||||
|
||||
/** Overwrite the audio context size (0 = use default). */
|
||||
public int audio_ctx;
|
||||
|
||||
@ -140,9 +148,6 @@ public class WhisperFullParams extends Structure {
|
||||
tdrz_enable = enable ? CBool.TRUE : CBool.FALSE;
|
||||
}
|
||||
|
||||
/** Regular expression matching tokens to suppress. */
|
||||
public String suppress_regex;
|
||||
|
||||
/** Tokens to provide to the whisper decoder as an initial prompt.
|
||||
* These are prepended to any existing text context from a previous call. */
|
||||
public String initial_prompt;
|
||||
@ -313,8 +318,8 @@ public class WhisperFullParams extends Structure {
|
||||
return Arrays.asList("strategy", "n_threads", "n_max_text_ctx", "offset_ms", "duration_ms", "translate",
|
||||
"no_context", "single_segment", "no_timestamps",
|
||||
"print_special", "print_progress", "print_realtime", "print_timestamps", "token_timestamps",
|
||||
"thold_pt", "thold_ptsum", "max_len", "split_on_word", "max_tokens", "audio_ctx",
|
||||
"tdrz_enable", "suppress_regex", "initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
|
||||
"thold_pt", "thold_ptsum", "max_len", "split_on_word", "max_tokens", "speed_up", "audio_ctx",
|
||||
"tdrz_enable", "initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
|
||||
"suppress_blank", "suppress_non_speech_tokens", "temperature", "max_initial_ts", "length_penalty",
|
||||
"temperature_inc", "entropy_thold", "logprob_thold", "no_speech_thold", "greedy", "beam_search",
|
||||
"new_segment_callback", "new_segment_callback_user_data",
|
||||
|
@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "whisper.cpp",
|
||||
"version": "1.6.2",
|
||||
"version": "1.5.4",
|
||||
"description": "Whisper speech recognition",
|
||||
"main": "whisper.js",
|
||||
"scripts": {
|
||||
|
@ -1,12 +0,0 @@
|
||||
require 'rake/clean'
|
||||
require 'rubygems/package'
|
||||
|
||||
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
|
@ -1,7 +1,6 @@
|
||||
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')} .")
|
||||
@ -10,7 +9,6 @@ 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')} .")
|
||||
|
@ -12,63 +12,31 @@ extern "C" {
|
||||
// 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
|
||||
void (*free_buffer) (ggml_backend_buffer_t buffer);
|
||||
void * (*get_base) (ggml_backend_buffer_t buffer); // get base pointer
|
||||
size_t (*get_alloc_size)(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); // pre-allocation callback
|
||||
void (*init_tensor) (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); // post-allocation callback
|
||||
void (*free_tensor) (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); // pre-free callback
|
||||
};
|
||||
|
||||
struct ggml_backend_buffer {
|
||||
struct ggml_backend_buffer_i iface;
|
||||
ggml_backend_buffer_type_t buft;
|
||||
struct ggml_backend_buffer_i iface;
|
||||
|
||||
ggml_backend_t backend;
|
||||
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,
|
||||
GGML_API ggml_backend_buffer_t ggml_backend_buffer_init(
|
||||
struct ggml_backend * backend,
|
||||
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
|
||||
//
|
||||
@ -76,66 +44,44 @@ extern "C" {
|
||||
typedef void * ggml_backend_context_t;
|
||||
|
||||
struct ggml_backend_i {
|
||||
const char * (*GGML_CALL get_name)(ggml_backend_t backend);
|
||||
const char * (*get_name)(ggml_backend_t backend);
|
||||
|
||||
void (*GGML_CALL free)(ggml_backend_t backend);
|
||||
void (*free)(ggml_backend_t backend);
|
||||
|
||||
// buffer allocation
|
||||
ggml_backend_buffer_type_t (*GGML_CALL get_default_buffer_type)(ggml_backend_t backend);
|
||||
ggml_backend_buffer_t (*alloc_buffer)(ggml_backend_t backend, size_t size);
|
||||
|
||||
// (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);
|
||||
// get buffer alignment
|
||||
size_t (*get_alignment)(ggml_backend_t backend);
|
||||
|
||||
// (optional) complete all pending operations
|
||||
void (*GGML_CALL synchronize)(ggml_backend_t backend);
|
||||
// tensor data access
|
||||
// these functions can be asynchronous, helper functions are provided for synchronous access that automatically call synchronize
|
||||
void (*set_tensor_async)(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
|
||||
void (*get_tensor_async)(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size);
|
||||
void (*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);
|
||||
// (optional) copy tensor between different backends, allow for single-copy tranfers
|
||||
void (*cpy_tensor_from)(ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst);
|
||||
void (*cpy_tensor_to) (ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst);
|
||||
|
||||
// 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);
|
||||
ggml_backend_graph_plan_t (*graph_plan_create) (ggml_backend_t backend, struct ggml_cgraph * cgraph);
|
||||
void (*graph_plan_free) (ggml_backend_t backend, ggml_backend_graph_plan_t plan);
|
||||
void (*graph_plan_compute)(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
|
||||
|
||||
// compute graph without a plan
|
||||
bool (*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);
|
||||
bool (*supports_op)(ggml_backend_t backend, const struct ggml_tensor * op);
|
||||
};
|
||||
|
||||
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
|
||||
|
File diff suppressed because it is too large
Load Diff
@ -7,123 +7,69 @@
|
||||
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);
|
||||
struct ggml_backend_buffer;
|
||||
typedef struct ggml_backend_buffer * ggml_backend_buffer_t;
|
||||
|
||||
// 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 buffer functions
|
||||
GGML_API void ggml_backend_buffer_free (ggml_backend_buffer_t buffer);
|
||||
GGML_API size_t ggml_backend_buffer_get_alignment (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 size_t ggml_backend_buffer_get_alloc_size(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor);
|
||||
GGML_API void ggml_backend_buffer_init_tensor (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor);
|
||||
GGML_API void ggml_backend_buffer_free_tensor (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor);
|
||||
|
||||
//
|
||||
// Backend
|
||||
//
|
||||
|
||||
GGML_API ggml_guid_t ggml_backend_guid(ggml_backend_t backend);
|
||||
struct ggml_backend;
|
||||
typedef struct ggml_backend * ggml_backend_t;
|
||||
typedef void * ggml_backend_graph_plan_t;
|
||||
|
||||
GGML_API ggml_backend_t ggml_get_backend(const struct ggml_tensor * tensor);
|
||||
|
||||
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 ggml_backend_buffer_t ggml_backend_alloc_buffer(ggml_backend_t backend, size_t size);
|
||||
|
||||
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 size_t ggml_backend_get_alignment(ggml_backend_t backend);
|
||||
|
||||
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_tensor_set_async( struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
|
||||
GGML_API void ggml_backend_tensor_get_async(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size);
|
||||
|
||||
GGML_API void ggml_backend_tensor_set( struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
|
||||
GGML_API 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 ggml_backend_graph_plan_t ggml_backend_graph_plan_create (ggml_backend_t backend, struct ggml_cgraph * cgraph);
|
||||
|
||||
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);
|
||||
GGML_API void ggml_backend_graph_plan_free (ggml_backend_t backend, ggml_backend_graph_plan_t plan);
|
||||
GGML_API void ggml_backend_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
|
||||
GGML_API bool ggml_backend_graph_compute (ggml_backend_t backend, struct ggml_cgraph * cgraph);
|
||||
GGML_API bool ggml_backend_supports_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);
|
||||
GGML_API 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);
|
||||
|
||||
// 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_backend_buffer_t ggml_backend_cpu_buffer_from_ptr(ggml_backend_t backend_cpu, 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
|
||||
@ -137,96 +83,53 @@ extern "C" {
|
||||
/*
|
||||
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}, num_backends);
|
||||
// sched is initialized with measure allocators and cannot be used until allocated with a measure graph
|
||||
|
||||
sched = ggml_backend_sched_new({backend_gpu, backend_gpu2, backend_cpu}, NULL, num_backends, GGML_DEFAULT_GRAPH_SIZE, false);
|
||||
// initialize buffers from a measure graph
|
||||
measure_graph = build_graph(sched); // use the allocr to allocate inputs as needed
|
||||
|
||||
// initialize buffers from a max size graph (optional)
|
||||
reserve_graph = build_graph(sched, max_batch_size);
|
||||
// in build_graph:
|
||||
build_graph(...) {
|
||||
// allocating tensors in a specific backend (optional, recommended: pre-allocate inputs in a different buffer)
|
||||
alloc_cpu = ggml_backend_sched_get_allocr(sched, backend_cpu);
|
||||
ggml_allocr_alloc(alloc_cpu, tensor);
|
||||
|
||||
// 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);
|
||||
// manually assigning nodes to a backend (optional, shouldn't be needed in most cases)
|
||||
struct ggml_tensor * node = ggml_mul_mat(ctx, ...);
|
||||
ggml_backend_sched_set_node_backend(sched, node, backend_gpu);
|
||||
}
|
||||
|
||||
ggml_backend_sched_reserve(sched, reserve_graph);
|
||||
// allocate backend buffers from measure graph
|
||||
ggml_backend_sched_init_measure(sched, measure_graph);
|
||||
|
||||
// the scheduler is now ready to compute graphs
|
||||
|
||||
// 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);
|
||||
GGML_API ggml_backend_sched_t ggml_backend_sched_new(ggml_backend_t * backends, int n_backends);
|
||||
|
||||
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);
|
||||
GGML_API void ggml_backend_sched_init_measure(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 ggml_tallocr_t ggml_backend_sched_get_tallocr(ggml_backend_sched_t sched, ggml_backend_t backend);
|
||||
GGML_API ggml_backend_buffer_t ggml_backend_sched_get_buffer (ggml_backend_sched_t sched, ggml_backend_t backend);
|
||||
|
||||
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);
|
||||
GGML_API void ggml_backend_sched_set_node_backend(ggml_backend_sched_t sched, struct ggml_tensor * node, ggml_backend_t backend);
|
||||
|
||||
// Allocate a graph on the backend scheduler
|
||||
GGML_API void ggml_backend_sched_graph_compute(
|
||||
ggml_backend_sched_t sched,
|
||||
struct ggml_cgraph * graph);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
|
File diff suppressed because it is too large
Load Diff
@ -1,43 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "ggml.h"
|
||||
#include "ggml-backend.h"
|
||||
|
||||
#ifdef GGML_USE_HIPBLAS
|
||||
#define GGML_CUDA_NAME "ROCm"
|
||||
#define GGML_CUBLAS_NAME "hipBLAS"
|
||||
#else
|
||||
#define GGML_CUDA_NAME "CUDA"
|
||||
#define GGML_CUBLAS_NAME "cuBLAS"
|
||||
#endif
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
#define GGML_CUDA_MAX_DEVICES 16
|
||||
|
||||
// backend API
|
||||
GGML_API GGML_CALL ggml_backend_t ggml_backend_cuda_init(int device);
|
||||
|
||||
GGML_API GGML_CALL bool ggml_backend_is_cuda(ggml_backend_t backend);
|
||||
|
||||
// device buffer
|
||||
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int device);
|
||||
|
||||
// split tensor buffer that splits matrices by rows across multiple devices
|
||||
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(const float * tensor_split);
|
||||
|
||||
// pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
|
||||
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type(void);
|
||||
|
||||
GGML_API GGML_CALL int ggml_backend_cuda_get_device_count(void);
|
||||
GGML_API GGML_CALL void ggml_backend_cuda_get_device_description(int device, char * description, size_t description_size);
|
||||
GGML_API GGML_CALL void ggml_backend_cuda_get_device_memory(int device, size_t * free, size_t * total);
|
||||
|
||||
GGML_API GGML_CALL bool ggml_backend_cuda_register_host_buffer(void * buffer, size_t size);
|
||||
GGML_API GGML_CALL void ggml_backend_cuda_unregister_host_buffer(void * buffer);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
@ -5,7 +5,6 @@
|
||||
// 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
|
||||
@ -19,7 +18,6 @@ extern "C" {
|
||||
// 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)
|
||||
@ -27,7 +25,6 @@ extern "C" {
|
||||
#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__))
|
||||
@ -37,18 +34,17 @@ extern "C" {
|
||||
#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
|
||||
|
||||
#undef MIN
|
||||
#undef MAX
|
||||
|
||||
#define MIN(a, b) ((a) < (b) ? (a) : (b))
|
||||
#define MAX(a, b) ((a) > (b) ? (a) : (b))
|
||||
|
||||
// 16-bit float
|
||||
// on Arm, we use __fp16
|
||||
// on x86, we use uint16_t
|
||||
@ -60,30 +56,14 @@ extern "C" {
|
||||
//
|
||||
#include <arm_neon.h>
|
||||
|
||||
typedef __fp16 ggml_fp16_internal_t;
|
||||
#define GGML_COMPUTE_FP16_TO_FP32(x) ((float) (x))
|
||||
#define GGML_COMPUTE_FP32_TO_FP16(x) (x)
|
||||
|
||||
#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;
|
||||
}
|
||||
#define GGML_FP16_TO_FP32(x) ((float) (x))
|
||||
#define GGML_FP32_TO_FP16(x) (x)
|
||||
|
||||
#else
|
||||
|
||||
typedef uint16_t ggml_fp16_internal_t;
|
||||
|
||||
#ifdef __wasm_simd128__
|
||||
#include <wasm_simd128.h>
|
||||
#else
|
||||
@ -237,7 +217,8 @@ 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)
|
||||
#if !defined(GGML_FP16_TO_FP32) || !defined(GGML_FP32_TO_FP16)
|
||||
|
||||
inline static float ggml_lookup_fp16_to_fp32(ggml_fp16_t f) {
|
||||
uint16_t s;
|
||||
memcpy(&s, &f, sizeof(uint16_t));
|
||||
@ -245,23 +226,19 @@ inline static float ggml_lookup_fp16_to_fp32(ggml_fp16_t f) {
|
||||
}
|
||||
|
||||
#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
|
||||
// returns GGML_HAHSHTABLE_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
|
||||
|
@ -1,46 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "ggml.h"
|
||||
#include "ggml-backend.h"
|
||||
|
||||
#include <stdbool.h>
|
||||
#include <stddef.h>
|
||||
#include <stdint.h>
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
struct ggml_vk_device {
|
||||
int index;
|
||||
int type; // same as VkPhysicalDeviceType
|
||||
size_t heapSize;
|
||||
const char * name;
|
||||
const char * vendor;
|
||||
int subgroupSize;
|
||||
uint64_t bufferAlignment;
|
||||
uint64_t maxAlloc;
|
||||
};
|
||||
|
||||
struct ggml_vk_device * ggml_vk_available_devices(size_t memoryRequired, size_t * count);
|
||||
bool ggml_vk_get_device(struct ggml_vk_device * device, size_t memoryRequired, const char * name);
|
||||
bool ggml_vk_has_vulkan(void);
|
||||
bool ggml_vk_has_device(void);
|
||||
struct ggml_vk_device ggml_vk_current_device(void);
|
||||
|
||||
//
|
||||
// backend API
|
||||
//
|
||||
|
||||
// forward declaration
|
||||
typedef struct ggml_backend * ggml_backend_t;
|
||||
|
||||
GGML_API ggml_backend_t ggml_backend_kompute_init(int device);
|
||||
|
||||
GGML_API bool ggml_backend_is_kompute(ggml_backend_t backend);
|
||||
|
||||
GGML_API ggml_backend_buffer_type_t ggml_backend_kompute_buffer_type(int device);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
@ -1,66 +0,0 @@
|
||||
// An interface allowing to compute ggml_cgraph with Metal
|
||||
//
|
||||
// This is a fully functional interface that extends ggml with GPU support for Apple devices.
|
||||
// A similar interface can be created for other GPU backends (e.g. Vulkan, CUDA, OpenCL, etc.)
|
||||
//
|
||||
// How it works?
|
||||
//
|
||||
// As long as your program can create and evaluate a ggml_cgraph on the CPU, you can use this
|
||||
// interface to evaluate the same graph on the GPU. Instead of using ggml_graph_compute(), you
|
||||
// use ggml_metal_graph_compute() (or ggml_vulkan_graph_compute(), etc.)
|
||||
//
|
||||
// You only need to make sure that all memory buffers that you used during the graph creation
|
||||
// are mapped to the device memory with the ggml_metal_add_buffer() function. This mapping is
|
||||
// used during the graph evaluation to determine the arguments of the compute kernels.
|
||||
//
|
||||
// Synchronization between device and host memory (for example for input and output tensors)
|
||||
// is done with the ggml_metal_set_tensor() and ggml_metal_get_tensor() functions.
|
||||
//
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "ggml.h"
|
||||
#include "ggml-backend.h"
|
||||
|
||||
#include <stddef.h>
|
||||
#include <stdbool.h>
|
||||
|
||||
// max memory buffers that can be mapped to the device
|
||||
#define GGML_METAL_MAX_BUFFERS 64
|
||||
|
||||
struct ggml_tensor;
|
||||
struct ggml_cgraph;
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
//
|
||||
// backend API
|
||||
// user-code should use only these functions
|
||||
//
|
||||
|
||||
GGML_API void ggml_backend_metal_log_set_callback(ggml_log_callback log_callback, void * user_data);
|
||||
|
||||
GGML_API ggml_backend_t ggml_backend_metal_init(void);
|
||||
|
||||
GGML_API bool ggml_backend_is_metal(ggml_backend_t backend);
|
||||
|
||||
GGML_API GGML_CALL ggml_backend_buffer_t ggml_backend_metal_buffer_from_ptr(void * data, size_t size, size_t max_size);
|
||||
|
||||
GGML_API void ggml_backend_metal_set_n_cb(ggml_backend_t backend, int n_cb);
|
||||
|
||||
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void);
|
||||
|
||||
// helper to check if the device supports a specific family
|
||||
// ideally, the user code should be doing these checks
|
||||
// ref: https://developer.apple.com/metal/Metal-Feature-Set-Tables.pdf
|
||||
GGML_API bool ggml_backend_metal_supports_family(ggml_backend_t backend, int family);
|
||||
|
||||
// capture all command buffers committed the next time `ggml_backend_graph_compute` is called
|
||||
GGML_API void ggml_backend_metal_capture_next_compute(ggml_backend_t backend);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
||||
|
@ -1,36 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "ggml.h"
|
||||
#include "ggml-backend.h"
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
GGML_API void ggml_cl_init(void);
|
||||
|
||||
GGML_API void ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
|
||||
GGML_API void ggml_cl_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
|
||||
GGML_API bool ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, const struct ggml_tensor * dst);
|
||||
GGML_API size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
|
||||
GGML_API void ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize);
|
||||
|
||||
// GGML_API void * ggml_cl_host_malloc(size_t size);
|
||||
// GGML_API void ggml_cl_host_free(void * ptr);
|
||||
|
||||
GGML_API void ggml_cl_free_data(const struct ggml_tensor* tensor);
|
||||
|
||||
GGML_API void ggml_cl_transform_tensor(void * data, struct ggml_tensor * tensor);
|
||||
|
||||
// backend API
|
||||
|
||||
// GGML_API ggml_backend_t ggml_backend_opencl_init(void);
|
||||
|
||||
// GGML_API bool ggml_backend_is_opencl(ggml_backend_t backend);
|
||||
|
||||
GGML_API ggml_backend_buffer_type_t ggml_backend_opencl_buffer_type(void);
|
||||
// GGML_API ggml_backend_buffer_type_t ggml_backend_opencl_host_buffer_type(void);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
File diff suppressed because it is too large
Load Diff
@ -1,133 +1,224 @@
|
||||
#pragma once
|
||||
|
||||
#define GGML_COMMON_DECL_C
|
||||
#include "ggml-common.h"
|
||||
|
||||
#include "ggml.h"
|
||||
#include "ggml-impl.h"
|
||||
|
||||
// GGML internal header
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#include <stdint.h>
|
||||
#include <stddef.h>
|
||||
|
||||
#define QK4_0 32
|
||||
typedef struct {
|
||||
ggml_fp16_t d; // delta
|
||||
uint8_t qs[QK4_0 / 2]; // nibbles / quants
|
||||
} block_q4_0;
|
||||
static_assert(sizeof(block_q4_0) == sizeof(ggml_fp16_t) + QK4_0 / 2, "wrong q4_0 block size/padding");
|
||||
|
||||
#define QK4_1 32
|
||||
typedef struct {
|
||||
ggml_fp16_t d; // delta
|
||||
ggml_fp16_t m; // min
|
||||
uint8_t qs[QK4_1 / 2]; // nibbles / quants
|
||||
} block_q4_1;
|
||||
static_assert(sizeof(block_q4_1) == 2 * sizeof(ggml_fp16_t) + QK4_1 / 2, "wrong q4_1 block size/padding");
|
||||
|
||||
#define QK5_0 32
|
||||
typedef struct {
|
||||
ggml_fp16_t d; // delta
|
||||
uint8_t qh[4]; // 5-th bit of quants
|
||||
uint8_t qs[QK5_0 / 2]; // nibbles / quants
|
||||
} block_q5_0;
|
||||
static_assert(sizeof(block_q5_0) == sizeof(ggml_fp16_t) + sizeof(uint32_t) + QK5_0 / 2, "wrong q5_0 block size/padding");
|
||||
|
||||
#define QK5_1 32
|
||||
typedef struct {
|
||||
ggml_fp16_t d; // delta
|
||||
ggml_fp16_t m; // min
|
||||
uint8_t qh[4]; // 5-th bit of quants
|
||||
uint8_t qs[QK5_1 / 2]; // nibbles / quants
|
||||
} block_q5_1;
|
||||
static_assert(sizeof(block_q5_1) == 2 * sizeof(ggml_fp16_t) + sizeof(uint32_t) + QK5_1 / 2, "wrong q5_1 block size/padding");
|
||||
|
||||
#define QK8_0 32
|
||||
typedef struct {
|
||||
ggml_fp16_t d; // delta
|
||||
int8_t qs[QK8_0]; // quants
|
||||
} block_q8_0;
|
||||
static_assert(sizeof(block_q8_0) == sizeof(ggml_fp16_t) + QK8_0, "wrong q8_0 block size/padding");
|
||||
|
||||
#define QK8_1 32
|
||||
typedef struct {
|
||||
float d; // delta
|
||||
float s; // d * sum(qs[i])
|
||||
int8_t qs[QK8_1]; // quants
|
||||
} block_q8_1;
|
||||
static_assert(sizeof(block_q8_1) == 2*sizeof(float) + QK8_1, "wrong q8_1 block size/padding");
|
||||
|
||||
//
|
||||
// Super-block quantization structures
|
||||
//
|
||||
|
||||
// Super-block size
|
||||
#ifdef GGML_QKK_64
|
||||
#define QK_K 64
|
||||
#define K_SCALE_SIZE 4
|
||||
#else
|
||||
#define QK_K 256
|
||||
#define K_SCALE_SIZE 12
|
||||
#endif
|
||||
|
||||
// 2-bit quantization
|
||||
// weight is represented as x = a * q + b
|
||||
// 16 blocks of 16 elements each
|
||||
// Effectively 2.5625 bits per weight
|
||||
typedef struct {
|
||||
uint8_t scales[QK_K/16]; // scales and mins, quantized with 4 bits
|
||||
uint8_t qs[QK_K/4]; // quants
|
||||
ggml_fp16_t d; // super-block scale for quantized scales
|
||||
ggml_fp16_t dmin; // super-block scale for quantized mins
|
||||
} block_q2_K;
|
||||
static_assert(sizeof(block_q2_K) == 2*sizeof(ggml_fp16_t) + QK_K/16 + QK_K/4, "wrong q2_K block size/padding");
|
||||
|
||||
// 3-bit quantization
|
||||
// weight is represented as x = a * q
|
||||
// 16 blocks of 16 elements each
|
||||
// Effectively 3.4375 bits per weight
|
||||
#ifdef GGML_QKK_64
|
||||
typedef struct {
|
||||
uint8_t hmask[QK_K/8]; // quants - high bit
|
||||
uint8_t qs[QK_K/4]; // quants - low 2 bits
|
||||
uint8_t scales[2];
|
||||
ggml_fp16_t d; // super-block scale
|
||||
} block_q3_K;
|
||||
static_assert(sizeof(block_q3_K) == sizeof(ggml_fp16_t) + QK_K / 4 + QK_K / 8 + 2, "wrong q3_K block size/padding");
|
||||
#else
|
||||
typedef struct {
|
||||
uint8_t hmask[QK_K/8]; // quants - high bit
|
||||
uint8_t qs[QK_K/4]; // quants - low 2 bits
|
||||
uint8_t scales[12]; // scales, quantized with 6 bits
|
||||
ggml_fp16_t d; // super-block scale
|
||||
} block_q3_K;
|
||||
static_assert(sizeof(block_q3_K) == sizeof(ggml_fp16_t) + QK_K / 4 + QK_K / 8 + 12, "wrong q3_K block size/padding");
|
||||
#endif
|
||||
|
||||
// 4-bit quantization
|
||||
// 8 blocks of 32 elements each
|
||||
// weight is represented as x = a * q + b
|
||||
// Effectively 4.5 bits per weight
|
||||
#ifdef GGML_QKK_64
|
||||
typedef struct {
|
||||
ggml_fp16_t d[2]; // super-block scales/mins
|
||||
uint8_t scales[2]; // 4-bit block scales/mins
|
||||
uint8_t qs[QK_K/2]; // 4--bit quants
|
||||
} block_q4_K;
|
||||
static_assert(sizeof(block_q4_K) == 2*sizeof(ggml_fp16_t) + QK_K/2 + 2, "wrong q4_K block size/padding");
|
||||
#else
|
||||
typedef struct {
|
||||
ggml_fp16_t d; // super-block scale for quantized scales
|
||||
ggml_fp16_t dmin; // super-block scale for quantized mins
|
||||
uint8_t scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits
|
||||
uint8_t qs[QK_K/2]; // 4--bit quants
|
||||
} block_q4_K;
|
||||
static_assert(sizeof(block_q4_K) == 2*sizeof(ggml_fp16_t) + K_SCALE_SIZE + QK_K/2, "wrong q4_K block size/padding");
|
||||
#endif
|
||||
|
||||
// 5-bit quantization
|
||||
// 8 blocks of 32 elements each
|
||||
// weight is represented as x = a * q + b
|
||||
// Effectively 5.5 bits per weight
|
||||
#ifdef GGML_QKK_64
|
||||
typedef struct {
|
||||
ggml_fp16_t d; // super-block scale
|
||||
int8_t scales[QK_K/16]; // 8-bit block scales
|
||||
uint8_t qh[QK_K/8]; // quants, high bit
|
||||
uint8_t qs[QK_K/2]; // quants, low 4 bits
|
||||
} block_q5_K;
|
||||
static_assert(sizeof(block_q5_K) == sizeof(ggml_fp16_t) + QK_K/2 + QK_K/8 + QK_K/16, "wrong q5_K block size/padding");
|
||||
#else
|
||||
typedef struct {
|
||||
ggml_fp16_t d; // super-block scale for quantized scales
|
||||
ggml_fp16_t dmin; // super-block scale for quantized mins
|
||||
uint8_t scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits
|
||||
uint8_t qh[QK_K/8]; // quants, high bit
|
||||
uint8_t qs[QK_K/2]; // quants, low 4 bits
|
||||
} block_q5_K;
|
||||
static_assert(sizeof(block_q5_K) == 2*sizeof(ggml_fp16_t) + K_SCALE_SIZE + QK_K/2 + QK_K/8, "wrong q5_K block size/padding");
|
||||
#endif
|
||||
|
||||
// 6-bit quantization
|
||||
// weight is represented as x = a * q
|
||||
// 16 blocks of 16 elements each
|
||||
// Effectively 6.5625 bits per weight
|
||||
typedef struct {
|
||||
uint8_t ql[QK_K/2]; // quants, lower 4 bits
|
||||
uint8_t qh[QK_K/4]; // quants, upper 2 bits
|
||||
int8_t scales[QK_K/16]; // scales, quantized with 8 bits
|
||||
ggml_fp16_t d; // super-block scale
|
||||
} block_q6_K;
|
||||
static_assert(sizeof(block_q6_K) == sizeof(ggml_fp16_t) + QK_K / 16 + 3*QK_K/4, "wrong q6_K block size/padding");
|
||||
|
||||
// This is only used for intermediate quantization and dot products
|
||||
typedef struct {
|
||||
float d; // delta
|
||||
int8_t qs[QK_K]; // quants
|
||||
int16_t bsums[QK_K/16]; // sum of quants in groups of 16
|
||||
} block_q8_K;
|
||||
static_assert(sizeof(block_q8_K) == sizeof(float) + QK_K + QK_K/16*sizeof(int16_t), "wrong q8_K block size/padding");
|
||||
|
||||
|
||||
// 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_q4_0_reference(const float * restrict x, block_q4_0 * restrict y, int k);
|
||||
void quantize_row_q4_1_reference(const float * restrict x, block_q4_1 * restrict y, int k);
|
||||
void quantize_row_q5_0_reference(const float * restrict x, block_q5_0 * restrict y, int k);
|
||||
void quantize_row_q5_1_reference(const float * restrict x, block_q5_1 * restrict y, int k);
|
||||
void quantize_row_q8_0_reference(const float * restrict x, block_q8_0 * restrict y, int k);
|
||||
void quantize_row_q8_1_reference(const float * restrict x, block_q8_1 * restrict y, int 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_q2_K_reference(const float * restrict x, block_q2_K * restrict y, int k);
|
||||
void quantize_row_q3_K_reference(const float * restrict x, block_q3_K * restrict y, int k);
|
||||
void quantize_row_q4_K_reference(const float * restrict x, block_q4_K * restrict y, int k);
|
||||
void quantize_row_q5_K_reference(const float * restrict x, block_q5_K * restrict y, int k);
|
||||
void quantize_row_q6_K_reference(const float * restrict x, block_q6_K * restrict y, int k);
|
||||
void quantize_row_q8_K_reference(const float * restrict x, block_q8_K * restrict y, int 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 * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q4_1(const float * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q5_0(const float * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q5_1(const float * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q8_0(const float * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q8_1(const float * restrict x, void * restrict y, int 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);
|
||||
void quantize_row_q2_K(const float * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q3_K(const float * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q4_K(const float * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q5_K(const float * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q6_K(const float * restrict x, void * restrict y, int k);
|
||||
void quantize_row_q8_K(const float * restrict x, void * restrict y, int 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_q4_0(const block_q4_0 * restrict x, float * restrict y, int k);
|
||||
void dequantize_row_q4_1(const block_q4_1 * restrict x, float * restrict y, int k);
|
||||
void dequantize_row_q5_0(const block_q5_0 * restrict x, float * restrict y, int k);
|
||||
void dequantize_row_q5_1(const block_q5_1 * restrict x, float * restrict y, int k);
|
||||
void dequantize_row_q8_0(const block_q8_0 * restrict x, float * restrict y, int k);
|
||||
//void dequantize_row_q8_1(const block_q8_1 * restrict x, float * restrict y, int 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);
|
||||
void dequantize_row_q2_K(const block_q2_K * restrict x, float * restrict y, int k);
|
||||
void dequantize_row_q3_K(const block_q3_K * restrict x, float * restrict y, int k);
|
||||
void dequantize_row_q4_K(const block_q4_K * restrict x, float * restrict y, int k);
|
||||
void dequantize_row_q5_K(const block_q5_K * restrict x, float * restrict y, int k);
|
||||
void dequantize_row_q6_K(const block_q6_K * restrict x, float * restrict y, int k);
|
||||
void dequantize_row_q8_K(const block_q8_K * restrict x, float * restrict y, int 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
|
||||
void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
void ggml_vec_dot_q5_0_q8_0(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
|
||||
void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, const void * restrict vx, const void * restrict vy);
|
||||
|
@ -1,49 +0,0 @@
|
||||
//
|
||||
// MIT license
|
||||
// Copyright (C) 2024 Intel Corporation
|
||||
// SPDX-License-Identifier: MIT
|
||||
//
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "ggml.h"
|
||||
#include "ggml-backend.h"
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
#define GGML_SYCL_MAX_DEVICES 48
|
||||
#define GGML_SYCL_NAME "SYCL"
|
||||
|
||||
// backend API
|
||||
GGML_API ggml_backend_t ggml_backend_sycl_init(int device);
|
||||
|
||||
// devide buffer
|
||||
GGML_API ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(int device);
|
||||
|
||||
// split tensor buffer that splits matrices by rows across multiple devices
|
||||
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_sycl_split_buffer_type(const float * tensor_split);
|
||||
|
||||
// pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
|
||||
GGML_API ggml_backend_buffer_type_t ggml_backend_sycl_host_buffer_type(void);
|
||||
|
||||
GGML_API void ggml_backend_sycl_print_sycl_devices(void);
|
||||
GGML_API GGML_CALL void ggml_sycl_get_gpu_list(int *id_list, int max_len);
|
||||
GGML_API GGML_CALL void ggml_sycl_get_device_description(int device, char *description, size_t description_size);
|
||||
GGML_API GGML_CALL int ggml_backend_sycl_get_device_count();
|
||||
GGML_API GGML_CALL void ggml_backend_sycl_get_device_memory(int device, size_t *free, size_t *total);
|
||||
GGML_API GGML_CALL int ggml_backend_sycl_get_device_index(int device_id);
|
||||
|
||||
// TODO: these are temporary
|
||||
// ref: https://github.com/ggerganov/llama.cpp/pull/6022#issuecomment-1992615670
|
||||
GGML_API GGML_CALL int ggml_backend_sycl_get_device_id(int device_index);
|
||||
GGML_API GGML_CALL void ggml_backend_sycl_set_single_device_mode(int main_gpu_id);
|
||||
GGML_API GGML_CALL void ggml_backend_sycl_set_mul_device_mode();
|
||||
|
||||
// SYCL doesn't support registering host memory, keep here for reference
|
||||
// GGML_API GGML_CALL bool ggml_backend_sycl_register_host_buffer(void * buffer, size_t size);
|
||||
// GGML_API GGML_CALL void ggml_backend_sycl_unregister_host_buffer(void * buffer);
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
@ -1,29 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "ggml.h"
|
||||
#include "ggml-backend.h"
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
#define GGML_VK_NAME "Vulkan"
|
||||
#define GGML_VK_MAX_DEVICES 16
|
||||
|
||||
GGML_API void ggml_vk_instance_init(void);
|
||||
|
||||
// backend API
|
||||
GGML_API GGML_CALL ggml_backend_t ggml_backend_vk_init(size_t dev_num);
|
||||
|
||||
GGML_API GGML_CALL bool ggml_backend_is_vk(ggml_backend_t backend);
|
||||
GGML_API GGML_CALL int ggml_backend_vk_get_device_count(void);
|
||||
GGML_API GGML_CALL void ggml_backend_vk_get_device_description(int device, char * description, size_t description_size);
|
||||
GGML_API GGML_CALL void ggml_backend_vk_get_device_memory(int device, size_t * free, size_t * total);
|
||||
|
||||
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(size_t dev_num);
|
||||
// pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
|
||||
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type(void);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
@ -311,6 +311,12 @@ static VALUE ruby_whisper_params_get_split_on_word(VALUE self) {
|
||||
static VALUE ruby_whisper_params_set_split_on_word(VALUE self, VALUE value) {
|
||||
BOOL_PARAMS_SETTER(self, split_on_word, value)
|
||||
}
|
||||
static VALUE ruby_whisper_params_get_speed_up(VALUE self) {
|
||||
BOOL_PARAMS_GETTER(self, speed_up)
|
||||
}
|
||||
static VALUE ruby_whisper_params_set_speed_up(VALUE self, VALUE value) {
|
||||
BOOL_PARAMS_SETTER(self, speed_up, value)
|
||||
}
|
||||
static VALUE ruby_whisper_params_get_diarize(VALUE self) {
|
||||
ruby_whisper_params *rwp;
|
||||
Data_Get_Struct(self, ruby_whisper_params, rwp);
|
||||
@ -402,6 +408,8 @@ void Init_whisper() {
|
||||
rb_define_method(cParams, "token_timestamps=", ruby_whisper_params_set_token_timestamps, 1);
|
||||
rb_define_method(cParams, "split_on_word", ruby_whisper_params_get_split_on_word, 0);
|
||||
rb_define_method(cParams, "split_on_word=", ruby_whisper_params_set_split_on_word, 1);
|
||||
rb_define_method(cParams, "speed_up", ruby_whisper_params_get_speed_up, 0);
|
||||
rb_define_method(cParams, "speed_up=", ruby_whisper_params_set_speed_up, 1);
|
||||
rb_define_method(cParams, "diarize", ruby_whisper_params_get_diarize, 0);
|
||||
rb_define_method(cParams, "diarize=", ruby_whisper_params_set_diarize, 1);
|
||||
|
||||
|
@ -117,6 +117,13 @@ class TestWhisper < Test::Unit::TestCase
|
||||
assert !@params.split_on_word
|
||||
end
|
||||
|
||||
def test_speed_up
|
||||
@params.speed_up = true
|
||||
assert @params.speed_up
|
||||
@params.speed_up = false
|
||||
assert !@params.speed_up
|
||||
end
|
||||
|
||||
def test_whisper
|
||||
@whisper = Whisper::Context.new(File.join(TOPDIR, '..', '..', 'models', 'ggml-base.en.bin'))
|
||||
params = Whisper::Params.new
|
||||
|
@ -1,28 +0,0 @@
|
||||
Gem::Specification.new do |s|
|
||||
s.name = "whispercpp"
|
||||
s.authors = ["Georgi Gerganov", "Todd A. Fisher"]
|
||||
s.version = '1.3.0'
|
||||
s.date = '2024-05-14'
|
||||
s.description = %q{High-performance inference of OpenAI's Whisper automatic speech recognition (ASR) model via Ruby}
|
||||
s.email = 'todd.fisher@gmail.com'
|
||||
s.extra_rdoc_files = ['LICENSE', 'README.md']
|
||||
|
||||
s.files = ["LICENSE", "README.md", "Rakefile", "ext/extconf.rb", "ext/ggml.c", "ext/ruby_whisper.cpp", "ext/whisper.cpp", "ext/dr_wav.h", "ext/ggml.h", "ext/ruby_whisper.h", "ext/whisper.h"]
|
||||
|
||||
#### Load-time details
|
||||
s.require_paths = ['lib','ext']
|
||||
s.summary = %q{Ruby whisper.cpp bindings}
|
||||
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.platform = Gem::Platform::RUBY
|
||||
|
||||
s.licenses = ['MIT']
|
||||
end
|
@ -1,163 +0,0 @@
|
||||
# From
|
||||
# https://github.com/snikulov/cmake-modules/blob/master/FindFFmpeg.cmake
|
||||
#
|
||||
# vim: ts=2 sw=2
|
||||
# - Try to find the required ffmpeg components(default: AVFORMAT, AVUTIL, AVCODEC)
|
||||
#
|
||||
# Once done this will define
|
||||
# FFMPEG_FOUND - System has the all required components.
|
||||
# FFMPEG_INCLUDE_DIRS - Include directory necessary for using the required components headers.
|
||||
# FFMPEG_LIBRARIES - Link these to use the required ffmpeg components.
|
||||
# FFMPEG_DEFINITIONS - Compiler switches required for using the required ffmpeg components.
|
||||
#
|
||||
# For each of the components it will additionally set.
|
||||
# - AVCODEC
|
||||
# - AVDEVICE
|
||||
# - AVFORMAT
|
||||
# - AVFILTER
|
||||
# - AVUTIL
|
||||
# - POSTPROC
|
||||
# - SWSCALE
|
||||
# the following variables will be defined
|
||||
# <component>_FOUND - System has <component>
|
||||
# <component>_INCLUDE_DIRS - Include directory necessary for using the <component> headers
|
||||
# <component>_LIBRARIES - Link these to use <component>
|
||||
# <component>_DEFINITIONS - Compiler switches required for using <component>
|
||||
# <component>_VERSION - The components version
|
||||
#
|
||||
# Copyright (c) 2006, Matthias Kretz, <kretz@kde.org>
|
||||
# Copyright (c) 2008, Alexander Neundorf, <neundorf@kde.org>
|
||||
# Copyright (c) 2011, Michael Jansen, <kde@michael-jansen.biz>
|
||||
#
|
||||
# Redistribution and use is allowed according to the terms of the BSD license.
|
||||
# For details see the accompanying COPYING-CMAKE-SCRIPTS file.
|
||||
|
||||
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)
|
||||
endif()
|
||||
|
||||
#
|
||||
### Macro: set_component_found
|
||||
#
|
||||
# Marks the given component as found if both *_LIBRARIES AND *_INCLUDE_DIRS is present.
|
||||
#
|
||||
macro(set_component_found _component )
|
||||
if (${_component}_LIBRARIES AND ${_component}_INCLUDE_DIRS)
|
||||
message(DEBUG " - ${_component} found.")
|
||||
set(${_component}_FOUND TRUE)
|
||||
else ()
|
||||
message(DEBUG " - ${_component} not found.")
|
||||
endif ()
|
||||
endmacro()
|
||||
|
||||
#
|
||||
### Macro: find_component
|
||||
#
|
||||
# Checks for the given component by invoking pkgconfig and then looking up the libraries and
|
||||
# include directories.
|
||||
#
|
||||
macro(find_component _component _pkgconfig _library _header)
|
||||
|
||||
if (NOT WIN32)
|
||||
# use pkg-config to get the directories and then use these values
|
||||
# in the FIND_PATH() and FIND_LIBRARY() calls
|
||||
find_package(PkgConfig)
|
||||
if (PKG_CONFIG_FOUND)
|
||||
pkg_check_modules(PC_${_component} ${_pkgconfig})
|
||||
message(STATUS "Pkgconfig found: ${PC_${_component}_INCLUDEDIR}")
|
||||
message(STATUS "Pkgconfig found: ${PC_${_component}_INCLUDE_DIRS}")
|
||||
message(STATUS "${PC_${_component}_CFLAGS}")
|
||||
endif ()
|
||||
endif (NOT WIN32)
|
||||
|
||||
|
||||
find_path(${_component}_INCLUDE_DIRS ${_header}
|
||||
HINTS
|
||||
${PC_${_component}_INCLUDEDIR}
|
||||
${PC_${_component}_INCLUDE_DIRS}
|
||||
PATH_SUFFIXES
|
||||
ffmpeg
|
||||
)
|
||||
|
||||
# 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
|
||||
HINTS
|
||||
${PC_${_component}_LIBDIR}
|
||||
${PC_${_component}_LIBRARY_DIRS}
|
||||
)
|
||||
|
||||
set(${_component}_DEFINITIONS ${PC_${_component}_CFLAGS_OTHER} CACHE STRING "The ${_component} CFLAGS.")
|
||||
set(${_component}_VERSION ${PC_${_component}_VERSION} CACHE STRING "The ${_component} version number.")
|
||||
|
||||
set_component_found(${_component})
|
||||
|
||||
mark_as_advanced(
|
||||
${_component}_INCLUDE_DIRS
|
||||
${_component}_LIBRARIES
|
||||
${_component}_DEFINITIONS
|
||||
${_component}_VERSION)
|
||||
|
||||
endmacro()
|
||||
|
||||
|
||||
# Check for cached results. If there are skip the costly part.
|
||||
if (NOT FFMPEG_LIBRARIES)
|
||||
|
||||
# Check for all possible component.
|
||||
find_component(AVCODEC libavcodec avcodec libavcodec/avcodec.h)
|
||||
find_component(AVFORMAT libavformat avformat libavformat/avformat.h)
|
||||
find_component(AVDEVICE libavdevice avdevice libavdevice/avdevice.h)
|
||||
#find_component(AVRESAMPLE libavresample avresample libavresample/avresample.h) # old name for swresample
|
||||
find_component(AVUTIL libavutil avutil libavutil/avutil.h)
|
||||
find_component(AVFILTER libavfilter avfilter libavfilter/avfilter.h)
|
||||
find_component(SWSCALE libswscale swscale libswscale/swscale.h)
|
||||
find_component(POSTPROC libpostproc postproc libpostproc/postprocess.h)
|
||||
find_component(SWRESAMPLE libswresample swresample libswresample/swresample.h)
|
||||
|
||||
# Check if the required components were found and add their stuff to the FFMPEG_* vars.
|
||||
foreach (_component ${FFmpeg_FIND_COMPONENTS})
|
||||
if (${_component}_FOUND)
|
||||
# message(STATUS "Required component ${_component} present.")
|
||||
set(FFMPEG_LIBRARIES ${FFMPEG_LIBRARIES} ${${_component}_LIBRARIES})
|
||||
set(FFMPEG_DEFINITIONS ${FFMPEG_DEFINITIONS} ${${_component}_DEFINITIONS})
|
||||
list(APPEND FFMPEG_INCLUDE_DIRS ${${_component}_INCLUDE_DIRS})
|
||||
else ()
|
||||
# message(STATUS "Required component ${_component} missing.")
|
||||
endif ()
|
||||
endforeach ()
|
||||
|
||||
# Build the include path with duplicates removed.
|
||||
if (FFMPEG_INCLUDE_DIRS)
|
||||
list(REMOVE_DUPLICATES FFMPEG_INCLUDE_DIRS)
|
||||
endif ()
|
||||
|
||||
# cache the vars.
|
||||
set(FFMPEG_INCLUDE_DIRS ${FFMPEG_INCLUDE_DIRS} CACHE STRING "The FFmpeg include directories." FORCE)
|
||||
set(FFMPEG_LIBRARIES ${FFMPEG_LIBRARIES} CACHE STRING "The FFmpeg libraries." FORCE)
|
||||
set(FFMPEG_DEFINITIONS ${FFMPEG_DEFINITIONS} CACHE STRING "The FFmpeg cflags." FORCE)
|
||||
|
||||
mark_as_advanced(FFMPEG_INCLUDE_DIRS
|
||||
FFMPEG_LIBRARIES
|
||||
FFMPEG_DEFINITIONS)
|
||||
|
||||
endif ()
|
||||
|
||||
# Now set the noncached _FOUND vars for the components.
|
||||
# whisper.cpp does not need SWSCALE
|
||||
foreach (_component AVCODEC AVDEVICE AVFORMAT AVRESAMPLE AVUTIL POSTPROCESS)
|
||||
set_component_found(${_component})
|
||||
endforeach ()
|
||||
|
||||
# Compile the list of required vars
|
||||
set(_FFmpeg_REQUIRED_VARS FFMPEG_LIBRARIES FFMPEG_INCLUDE_DIRS)
|
||||
foreach (_component ${FFmpeg_FIND_COMPONENTS})
|
||||
list(APPEND _FFmpeg_REQUIRED_VARS ${_component}_LIBRARIES ${_component}_INCLUDE_DIRS)
|
||||
endforeach ()
|
||||
|
||||
# Give a nice error message if some of the required vars are missing.
|
||||
find_package_handle_standard_args(FFmpeg DEFAULT_MSG ${_FFmpeg_REQUIRED_VARS})
|
||||
|
@ -22,18 +22,12 @@ endif()
|
||||
|
||||
set(TARGET common)
|
||||
|
||||
if (WHISPER_FFMPEG)
|
||||
set(COMMON_SOURCES_FFMPEG ffmpeg-transcode.cpp)
|
||||
endif()
|
||||
|
||||
add_library(${TARGET} STATIC
|
||||
common.h
|
||||
common.cpp
|
||||
common-ggml.h
|
||||
common-ggml.cpp
|
||||
grammar-parser.h
|
||||
grammar-parser.cpp
|
||||
${COMMON_SOURCES_FFMPEG}
|
||||
)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
@ -41,7 +35,6 @@ include(DefaultTargetOptions)
|
||||
target_link_libraries(${TARGET} PRIVATE whisper)
|
||||
|
||||
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
|
||||
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
|
||||
|
||||
if (WHISPER_SDL2)
|
||||
# common-sdl
|
||||
@ -59,63 +52,30 @@ if (WHISPER_SDL2)
|
||||
target_link_libraries(${TARGET} PRIVATE ${SDL2_LIBRARIES})
|
||||
|
||||
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
|
||||
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
|
||||
endif()
|
||||
|
||||
# add json lib
|
||||
add_library(json_cpp INTERFACE)
|
||||
target_include_directories(json_cpp INTERFACE ${CMAKE_CURRENT_SOURCE_DIR})
|
||||
|
||||
# examples
|
||||
|
||||
include_directories(${CMAKE_CURRENT_SOURCE_DIR})
|
||||
|
||||
if (EMSCRIPTEN)
|
||||
add_subdirectory(whisper.wasm)
|
||||
set_target_properties(libmain PROPERTIES FOLDER "libs")
|
||||
add_subdirectory(stream.wasm)
|
||||
set_target_properties(libstream PROPERTIES FOLDER "libs")
|
||||
add_subdirectory(command.wasm)
|
||||
set_target_properties(libcommand PROPERTIES FOLDER "libs")
|
||||
add_subdirectory(talk.wasm)
|
||||
set_target_properties(libtalk PROPERTIES FOLDER "libs")
|
||||
add_subdirectory(bench.wasm)
|
||||
set_target_properties(libbench PROPERTIES FOLDER "libs")
|
||||
elseif(CMAKE_JS_VERSION)
|
||||
add_subdirectory(addon.node)
|
||||
set_target_properties(addon.node PROPERTIES FOLDER "examples")
|
||||
else()
|
||||
add_subdirectory(main)
|
||||
set_target_properties(main PROPERTIES FOLDER "examples")
|
||||
if (WHISPER_SDL2)
|
||||
add_subdirectory(stream)
|
||||
set_target_properties(stream PROPERTIES FOLDER "examples")
|
||||
endif (WHISPER_SDL2)
|
||||
add_subdirectory(server)
|
||||
set_target_properties(server PROPERTIES FOLDER "examples")
|
||||
if (WHISPER_SDL2)
|
||||
add_subdirectory(command)
|
||||
set_target_properties(command PROPERTIES FOLDER "examples")
|
||||
endif (WHISPER_SDL2)
|
||||
add_subdirectory(bench)
|
||||
set_target_properties(bench PROPERTIES FOLDER "examples")
|
||||
add_subdirectory(quantize)
|
||||
set_target_properties(quantize PROPERTIES FOLDER "examples")
|
||||
if (WHISPER_SDL2)
|
||||
add_subdirectory(talk)
|
||||
set_target_properties(talk PROPERTIES FOLDER "examples")
|
||||
add_subdirectory(talk-llama)
|
||||
set_target_properties(talk-llama PROPERTIES FOLDER "examples")
|
||||
add_subdirectory(lsp)
|
||||
set_target_properties(lsp PROPERTIES FOLDER "examples")
|
||||
if (LLAMA_SYCL)
|
||||
add_subdirectory(sycl)
|
||||
set_target_properties(sycl PROPERTIES FOLDER "examples")
|
||||
endif()
|
||||
endif (WHISPER_SDL2)
|
||||
endif()
|
||||
|
||||
if (WHISPER_SDL2)
|
||||
add_subdirectory(wchess)
|
||||
set_target_properties(wchess PROPERTIES FOLDER "examples")
|
||||
endif (WHISPER_SDL2)
|
||||
add_subdirectory(wchess)
|
||||
|
@ -1,4 +1,4 @@
|
||||
set(TARGET addon.node)
|
||||
set(TARGET whisper-addon)
|
||||
|
||||
# Base settings
|
||||
#==================================================================
|
||||
|
@ -14,14 +14,14 @@ npm install
|
||||
Make sure it is in the project root directory and compiled with make-js.
|
||||
|
||||
```shell
|
||||
npx cmake-js compile -T addon.node -B Release
|
||||
npx cmake-js compile -T whisper-addon -B Release
|
||||
```
|
||||
|
||||
For Electron addon and cmake-js options, you can see [cmake-js](https://github.com/cmake-js/cmake-js) and make very few configuration changes.
|
||||
|
||||
> Such as appointing special cmake path:
|
||||
> ```shell
|
||||
> npx cmake-js compile -c 'xxx/cmake' -T addon.node -B Release
|
||||
> npx cmake-js compile -c 'xxx/cmake' -T whisper-addon -B Release
|
||||
> ```
|
||||
|
||||
## Run
|
||||
|
@ -1,7 +1,7 @@
|
||||
const path = require("path");
|
||||
const { whisper } = require(path.join(
|
||||
__dirname,
|
||||
"../../../build/Release/addon.node"
|
||||
"../../../build/Release/whisper-addon"
|
||||
));
|
||||
const { promisify } = require("util");
|
||||
|
||||
@ -12,12 +12,6 @@ const whisperParamsMock = {
|
||||
model: path.join(__dirname, "../../../models/ggml-base.en.bin"),
|
||||
fname_inp: path.join(__dirname, "../../../samples/jfk.wav"),
|
||||
use_gpu: true,
|
||||
flash_attn: false,
|
||||
no_prints: true,
|
||||
comma_in_time: false,
|
||||
translate: true,
|
||||
no_timestamps: false,
|
||||
audio_ctx: 0,
|
||||
};
|
||||
|
||||
describe("Run whisper.node", () => {
|
||||
|
@ -19,12 +19,12 @@ struct whisper_params {
|
||||
int32_t max_len = 0;
|
||||
int32_t best_of = 5;
|
||||
int32_t beam_size = -1;
|
||||
int32_t audio_ctx = 0;
|
||||
|
||||
float word_thold = 0.01f;
|
||||
float entropy_thold = 2.4f;
|
||||
float logprob_thold = -1.0f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool translate = false;
|
||||
bool diarize = false;
|
||||
bool output_txt = false;
|
||||
@ -36,10 +36,7 @@ struct whisper_params {
|
||||
bool print_colors = false;
|
||||
bool print_progress = false;
|
||||
bool no_timestamps = false;
|
||||
bool no_prints = false;
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
bool comma_in_time = true;
|
||||
|
||||
std::string language = "en";
|
||||
std::string prompt;
|
||||
@ -47,8 +44,6 @@ struct whisper_params {
|
||||
|
||||
std::vector<std::string> fname_inp = {};
|
||||
std::vector<std::string> fname_out = {};
|
||||
|
||||
std::vector<float> pcmf32 = {}; // mono-channel F32 PCM
|
||||
};
|
||||
|
||||
struct whisper_print_user_data {
|
||||
@ -57,6 +52,27 @@ struct whisper_print_user_data {
|
||||
const std::vector<std::vector<float>> * pcmf32s;
|
||||
};
|
||||
|
||||
// 500 -> 00:05.000
|
||||
// 6000 -> 01:00.000
|
||||
std::string to_timestamp(int64_t t, bool comma = false) {
|
||||
int64_t msec = t * 10;
|
||||
int64_t hr = msec / (1000 * 60 * 60);
|
||||
msec = msec - hr * (1000 * 60 * 60);
|
||||
int64_t min = msec / (1000 * 60);
|
||||
msec = msec - min * (1000 * 60);
|
||||
int64_t sec = msec / 1000;
|
||||
msec = msec - sec * 1000;
|
||||
|
||||
char buf[32];
|
||||
snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
int timestamp_to_sample(int64_t t, int n_samples) {
|
||||
return std::max(0, std::min((int) n_samples - 1, (int) ((t*WHISPER_SAMPLE_RATE)/100)));
|
||||
}
|
||||
|
||||
void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper_state * state, int n_new, void * user_data) {
|
||||
const auto & params = *((whisper_print_user_data *) user_data)->params;
|
||||
const auto & pcmf32s = *((whisper_print_user_data *) user_data)->pcmf32s;
|
||||
@ -88,8 +104,8 @@ void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper
|
||||
if (params.diarize && pcmf32s.size() == 2) {
|
||||
const int64_t n_samples = pcmf32s[0].size();
|
||||
|
||||
const int64_t is0 = timestamp_to_sample(t0, n_samples, WHISPER_SAMPLE_RATE);
|
||||
const int64_t is1 = timestamp_to_sample(t1, n_samples, WHISPER_SAMPLE_RATE);
|
||||
const int64_t is0 = timestamp_to_sample(t0, n_samples);
|
||||
const int64_t is1 = timestamp_to_sample(t1, n_samples);
|
||||
|
||||
double energy0 = 0.0f;
|
||||
double energy1 = 0.0f;
|
||||
@ -125,15 +141,9 @@ void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper
|
||||
}
|
||||
}
|
||||
|
||||
void cb_log_disable(enum ggml_log_level, const char *, void *) {}
|
||||
|
||||
int run(whisper_params ¶ms, std::vector<std::vector<std::string>> &result) {
|
||||
if (params.no_prints) {
|
||||
whisper_log_set(cb_log_disable, NULL);
|
||||
}
|
||||
|
||||
if (params.fname_inp.empty() && params.pcmf32.empty()) {
|
||||
fprintf(stderr, "error: no input files or audio buffer specified\n");
|
||||
if (params.fname_inp.empty()) {
|
||||
fprintf(stderr, "error: no input files specified\n");
|
||||
return 2;
|
||||
}
|
||||
|
||||
@ -146,7 +156,6 @@ int run(whisper_params ¶ms, std::vector<std::vector<std::string>> &result) {
|
||||
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
|
||||
if (ctx == nullptr) {
|
||||
@ -154,14 +163,6 @@ int run(whisper_params ¶ms, std::vector<std::vector<std::string>> &result) {
|
||||
return 3;
|
||||
}
|
||||
|
||||
// if params.pcmf32 is provided, set params.fname_inp to "buffer"
|
||||
// this is simpler than further modifications in the code
|
||||
if (!params.pcmf32.empty()) {
|
||||
fprintf(stderr, "info: using audio buffer as input\n");
|
||||
params.fname_inp.clear();
|
||||
params.fname_inp.emplace_back("buffer");
|
||||
}
|
||||
|
||||
for (int f = 0; f < (int) params.fname_inp.size(); ++f) {
|
||||
const auto fname_inp = params.fname_inp[f];
|
||||
const auto fname_out = f < (int)params.fname_out.size() && !params.fname_out[f].empty() ? params.fname_out[f] : params.fname_inp[f];
|
||||
@ -169,25 +170,20 @@ int run(whisper_params ¶ms, std::vector<std::vector<std::string>> &result) {
|
||||
std::vector<float> pcmf32; // mono-channel F32 PCM
|
||||
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
|
||||
|
||||
// read the input audio file if params.pcmf32 is not provided
|
||||
if (params.pcmf32.empty()) {
|
||||
if (!::read_wav(fname_inp, pcmf32, pcmf32s, params.diarize)) {
|
||||
fprintf(stderr, "error: failed to read WAV file '%s'\n", fname_inp.c_str());
|
||||
continue;
|
||||
}
|
||||
} else {
|
||||
pcmf32 = params.pcmf32;
|
||||
if (!::read_wav(fname_inp, pcmf32, pcmf32s, params.diarize)) {
|
||||
fprintf(stderr, "error: failed to read WAV file '%s'\n", fname_inp.c_str());
|
||||
continue;
|
||||
}
|
||||
|
||||
// print system information
|
||||
if (!params.no_prints) {
|
||||
{
|
||||
fprintf(stderr, "\n");
|
||||
fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
|
||||
params.n_threads*params.n_processors, std::thread::hardware_concurrency(), whisper_print_system_info());
|
||||
}
|
||||
|
||||
// print some info about the processing
|
||||
if (!params.no_prints) {
|
||||
{
|
||||
fprintf(stderr, "\n");
|
||||
if (!whisper_is_multilingual(ctx)) {
|
||||
if (params.language != "en" || params.translate) {
|
||||
@ -196,13 +192,12 @@ int run(whisper_params ¶ms, std::vector<std::vector<std::string>> &result) {
|
||||
fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__);
|
||||
}
|
||||
}
|
||||
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, timestamps = %d, audio_ctx = %d ...\n",
|
||||
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, timestamps = %d ...\n",
|
||||
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
|
||||
params.n_threads, params.n_processors,
|
||||
params.language.c_str(),
|
||||
params.translate ? "translate" : "transcribe",
|
||||
params.no_timestamps ? 0 : 1,
|
||||
params.audio_ctx);
|
||||
params.no_timestamps ? 0 : 1);
|
||||
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
@ -229,15 +224,14 @@ int run(whisper_params ¶ms, std::vector<std::vector<std::string>> &result) {
|
||||
wparams.entropy_thold = params.entropy_thold;
|
||||
wparams.logprob_thold = params.logprob_thold;
|
||||
wparams.max_len = params.output_wts && params.max_len == 0 ? 60 : params.max_len;
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
|
||||
wparams.speed_up = params.speed_up;
|
||||
|
||||
wparams.greedy.best_of = params.best_of;
|
||||
wparams.beam_search.beam_size = params.beam_size;
|
||||
|
||||
wparams.initial_prompt = params.prompt.c_str();
|
||||
|
||||
wparams.no_timestamps = params.no_timestamps;
|
||||
|
||||
whisper_print_user_data user_data = { ¶ms, &pcmf32s };
|
||||
|
||||
// this callback is called on each new segment
|
||||
@ -273,8 +267,8 @@ int run(whisper_params ¶ms, std::vector<std::vector<std::string>> &result) {
|
||||
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
||||
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
||||
|
||||
result[i].emplace_back(to_timestamp(t0, params.comma_in_time));
|
||||
result[i].emplace_back(to_timestamp(t1, params.comma_in_time));
|
||||
result[i].emplace_back(to_timestamp(t0, true));
|
||||
result[i].emplace_back(to_timestamp(t1, true));
|
||||
result[i].emplace_back(text);
|
||||
}
|
||||
|
||||
@ -325,33 +319,11 @@ Napi::Value whisper(const Napi::CallbackInfo& info) {
|
||||
std::string model = whisper_params.Get("model").As<Napi::String>();
|
||||
std::string input = whisper_params.Get("fname_inp").As<Napi::String>();
|
||||
bool use_gpu = whisper_params.Get("use_gpu").As<Napi::Boolean>();
|
||||
bool flash_attn = whisper_params.Get("flash_attn").As<Napi::Boolean>();
|
||||
bool no_prints = whisper_params.Get("no_prints").As<Napi::Boolean>();
|
||||
bool no_timestamps = whisper_params.Get("no_timestamps").As<Napi::Boolean>();
|
||||
int32_t audio_ctx = whisper_params.Get("audio_ctx").As<Napi::Number>();
|
||||
bool comma_in_time = whisper_params.Get("comma_in_time").As<Napi::Boolean>();
|
||||
|
||||
Napi::Value pcmf32Value = whisper_params.Get("pcmf32");
|
||||
std::vector<float> pcmf32_vec;
|
||||
if (pcmf32Value.IsTypedArray()) {
|
||||
Napi::Float32Array pcmf32 = pcmf32Value.As<Napi::Float32Array>();
|
||||
size_t length = pcmf32.ElementLength();
|
||||
pcmf32_vec.reserve(length);
|
||||
for (size_t i = 0; i < length; i++) {
|
||||
pcmf32_vec.push_back(pcmf32[i]);
|
||||
}
|
||||
}
|
||||
|
||||
params.language = language;
|
||||
params.model = model;
|
||||
params.fname_inp.emplace_back(input);
|
||||
params.use_gpu = use_gpu;
|
||||
params.flash_attn = flash_attn;
|
||||
params.no_prints = no_prints;
|
||||
params.no_timestamps = no_timestamps;
|
||||
params.audio_ctx = audio_ctx;
|
||||
params.pcmf32 = pcmf32_vec;
|
||||
params.comma_in_time = comma_in_time;
|
||||
|
||||
Napi::Function callback = info[1].As<Napi::Function>();
|
||||
Worker* worker = new Worker(callback, params);
|
||||
|
@ -1,7 +1,7 @@
|
||||
const path = require("path");
|
||||
const { whisper } = require(path.join(
|
||||
__dirname,
|
||||
"../../build/Release/addon.node"
|
||||
"../../build/Release/whisper-addon"
|
||||
));
|
||||
const { promisify } = require("util");
|
||||
|
||||
@ -10,27 +10,15 @@ const whisperAsync = promisify(whisper);
|
||||
const whisperParams = {
|
||||
language: "en",
|
||||
model: path.join(__dirname, "../../models/ggml-base.en.bin"),
|
||||
fname_inp: path.join(__dirname, "../../samples/jfk.wav"),
|
||||
fname_inp: "../../samples/jfk.wav",
|
||||
use_gpu: true,
|
||||
flash_attn: false,
|
||||
no_prints: true,
|
||||
comma_in_time: false,
|
||||
translate: true,
|
||||
no_timestamps: false,
|
||||
audio_ctx: 0,
|
||||
};
|
||||
|
||||
const arguments = process.argv.slice(2);
|
||||
const params = Object.fromEntries(
|
||||
arguments.reduce((pre, item) => {
|
||||
if (item.startsWith("--")) {
|
||||
const [key, value] = item.slice(2).split("=");
|
||||
if (key === "audio_ctx") {
|
||||
whisperParams[key] = parseInt(value);
|
||||
} else {
|
||||
whisperParams[key] = value;
|
||||
}
|
||||
return pre;
|
||||
return [...pre, item.slice(2).split("=")];
|
||||
}
|
||||
return pre;
|
||||
}, [])
|
||||
@ -45,6 +33,5 @@ for (const key in params) {
|
||||
console.log("whisperParams =", whisperParams);
|
||||
|
||||
whisperAsync(whisperParams).then((result) => {
|
||||
console.log();
|
||||
console.log(result);
|
||||
console.log(`Result from whisper: ${result}`);
|
||||
});
|
||||
|
@ -1,5 +1,5 @@
|
||||
{
|
||||
"name": "addon.node",
|
||||
"name": "whisper-addon",
|
||||
"version": "0.0.0",
|
||||
"description": "",
|
||||
"main": "index.js",
|
||||
|
@ -8,12 +8,11 @@
|
||||
// command-line parameters
|
||||
struct whisper_params {
|
||||
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
|
||||
int32_t what = 0; // what to benchmark: 0 - whisper encoder, 1 - memcpy, 2 - ggml_mul_mat
|
||||
int32_t what = 0; // what to benchmark: 0 - whisper ecoder, 1 - memcpy, 2 - ggml_mul_mat
|
||||
|
||||
std::string model = "models/ggml-base.en.bin";
|
||||
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
bool use_gpu = true;
|
||||
};
|
||||
|
||||
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
|
||||
@ -26,11 +25,10 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
whisper_print_usage(argc, argv, params);
|
||||
exit(0);
|
||||
}
|
||||
else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-w" || arg == "--what") { params.what = atoi(argv[++i]); }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-w" || arg == "--what") { params.what = atoi(argv[++i]); }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
whisper_print_usage(argc, argv, params);
|
||||
@ -51,7 +49,6 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
|
||||
fprintf(stderr, " -w N, --what N [%-7d] what to benchmark:\n", params.what);
|
||||
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
|
||||
fprintf(stderr, " -fa, --flash-attn [%-7s] enable flash attention\n", params.flash_attn ? "true" : "false");
|
||||
fprintf(stderr, " %-7s 0 - whisper\n", "");
|
||||
fprintf(stderr, " %-7s 1 - memcpy\n", "");
|
||||
fprintf(stderr, " %-7s 2 - ggml_mul_mat\n", "");
|
||||
@ -62,9 +59,7 @@ int whisper_bench_full(const whisper_params & params) {
|
||||
// whisper init
|
||||
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
|
||||
|
@ -37,13 +37,9 @@ https://user-images.githubusercontent.com/1991296/207435352-8fc4ed3f-bde5-4555-9
|
||||
The `command` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
|
||||
|
||||
```bash
|
||||
# Install SDL2
|
||||
# On Debian based linux distributions:
|
||||
# Install SDL2 on Linux
|
||||
sudo apt-get install libsdl2-dev
|
||||
|
||||
# On Fedora Linux:
|
||||
sudo dnf install SDL2 SDL2-devel
|
||||
|
||||
# Install SDL2 on Mac OS
|
||||
brew install sdl2
|
||||
|
||||
|
@ -22,6 +22,11 @@
|
||||
#include <vector>
|
||||
#include <map>
|
||||
|
||||
bool file_exists(const std::string & fname) {
|
||||
std::ifstream f(fname.c_str());
|
||||
return f.good();
|
||||
}
|
||||
|
||||
// command-line parameters
|
||||
struct whisper_params {
|
||||
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
|
||||
@ -38,12 +43,12 @@ struct whisper_params {
|
||||
|
||||
grammar_parser::parse_state grammar_parsed;
|
||||
|
||||
bool speed_up = false;
|
||||
bool translate = false;
|
||||
bool print_special = false;
|
||||
bool print_energy = false;
|
||||
bool no_timestamps = true;
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
|
||||
std::string language = "en";
|
||||
std::string model = "models/ggml-base.en.bin";
|
||||
@ -52,9 +57,6 @@ struct whisper_params {
|
||||
std::string prompt;
|
||||
std::string context;
|
||||
std::string grammar;
|
||||
|
||||
// A regular expression that matches tokens to suppress
|
||||
std::string suppress_regex;
|
||||
};
|
||||
|
||||
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
|
||||
@ -75,11 +77,11 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
else if (arg == "-pe" || arg == "--print-energy") { params.print_energy = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; }
|
||||
@ -88,7 +90,6 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-ctx" || arg == "--context") { params.context = argv[++i]; }
|
||||
else if ( arg == "--grammar") { params.grammar = argv[++i]; }
|
||||
else if ( arg == "--grammar-penalty") { params.grammar_penalty = std::stof(argv[++i]); }
|
||||
else if ( arg == "--suppress-regex") { params.suppress_regex = argv[++i]; }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
whisper_print_usage(argc, argv, params);
|
||||
@ -113,11 +114,11 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
|
||||
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
|
||||
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
|
||||
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
|
||||
fprintf(stderr, " -pe, --print-energy [%-7s] print sound energy (for debugging)\n", params.print_energy ? "true" : "false");
|
||||
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
|
||||
fprintf(stderr, " -fa, --flash-attn [%-7s] flash attention\n", params.flash_attn ? "true" : "false");
|
||||
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.c_str());
|
||||
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
|
||||
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str());
|
||||
@ -126,7 +127,6 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -ctx, --context [%-7s] sample text to help the transcription\n", params.context.c_str());
|
||||
fprintf(stderr, " --grammar GRAMMAR [%-7s] GBNF grammar to guide decoding\n", params.grammar.c_str());
|
||||
fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty);
|
||||
fprintf(stderr, " --suppress-regex REGEX [%-7s] regular expression matching tokens to suppress\n", params.suppress_regex.c_str());
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
|
||||
@ -162,6 +162,7 @@ std::string transcribe(
|
||||
wparams.n_threads = params.n_threads;
|
||||
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
wparams.speed_up = params.speed_up;
|
||||
|
||||
wparams.temperature = 0.4f;
|
||||
wparams.temperature_inc = 1.0f;
|
||||
@ -171,8 +172,6 @@ std::string transcribe(
|
||||
|
||||
wparams.initial_prompt = params.context.data();
|
||||
|
||||
wparams.suppress_regex = params.suppress_regex.c_str();
|
||||
|
||||
const auto & grammar_parsed = params.grammar_parsed;
|
||||
auto grammar_rules = grammar_parsed.c_rules();
|
||||
|
||||
@ -367,6 +366,7 @@ int process_command_list(struct whisper_context * ctx, audio_async &audio, const
|
||||
wparams.n_threads = params.n_threads;
|
||||
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
wparams.speed_up = params.speed_up;
|
||||
|
||||
wparams.prompt_tokens = k_tokens.data();
|
||||
wparams.prompt_n_tokens = k_tokens.size();
|
||||
@ -694,9 +694,7 @@ int main(int argc, char ** argv) {
|
||||
// whisper init
|
||||
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
|
||||
@ -738,7 +736,7 @@ int main(int argc, char ** argv) {
|
||||
|
||||
if (!params.grammar.empty()) {
|
||||
auto & grammar = params.grammar_parsed;
|
||||
if (is_file_exist(params.grammar.c_str())) {
|
||||
if (file_exists(params.grammar.c_str())) {
|
||||
// read grammar from file
|
||||
std::ifstream ifs(params.grammar.c_str());
|
||||
const std::string txt = std::string((std::istreambuf_iterator<char>(ifs)), std::istreambuf_iterator<char>());
|
||||
|
@ -64,14 +64,7 @@ bool ggml_common_quantize_0(
|
||||
case GGML_FTYPE_MOSTLY_Q4_1_SOME_F16:
|
||||
case GGML_FTYPE_MOSTLY_IQ2_XXS:
|
||||
case GGML_FTYPE_MOSTLY_IQ2_XS:
|
||||
case GGML_FTYPE_MOSTLY_IQ2_S:
|
||||
case GGML_FTYPE_MOSTLY_IQ3_XXS:
|
||||
case GGML_FTYPE_MOSTLY_IQ3_S:
|
||||
case GGML_FTYPE_MOSTLY_IQ1_S:
|
||||
case GGML_FTYPE_MOSTLY_IQ4_NL:
|
||||
case GGML_FTYPE_MOSTLY_IQ4_XS:
|
||||
case GGML_FTYPE_MOSTLY_IQ1_M:
|
||||
case GGML_FTYPE_MOSTLY_BF16:
|
||||
{
|
||||
fprintf(stderr, "%s: invalid model type %d\n", __func__, ftype);
|
||||
return false;
|
||||
@ -92,6 +85,8 @@ bool ggml_common_quantize_0(
|
||||
std::vector<ggml_fp16_t> data_f16;
|
||||
std::vector<float> data_f32;
|
||||
|
||||
std::vector<int64_t> hist_all(1 << 4, 0);
|
||||
|
||||
while (true) {
|
||||
int32_t n_dims;
|
||||
int32_t length;
|
||||
@ -176,6 +171,8 @@ bool ggml_common_quantize_0(
|
||||
work.resize(nelements); // for quantization
|
||||
|
||||
size_t cur_size = 0;
|
||||
std::vector<int64_t> hist_cur(1 << 4, 0);
|
||||
|
||||
switch ((ggml_type) ttype) {
|
||||
case GGML_TYPE_Q4_0:
|
||||
case GGML_TYPE_Q4_1:
|
||||
@ -188,27 +185,18 @@ bool ggml_common_quantize_0(
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
{
|
||||
cur_size = ggml_quantize_chunk((ggml_type) ttype, data_f32.data(), work.data(), 0, nelements/ne[0], ne[0], nullptr);
|
||||
cur_size = ggml_quantize_chunk((ggml_type) ttype, data_f32.data(), work.data(), 0, nelements/ne[0], ne[0], hist_cur.data(), nullptr);
|
||||
} break;
|
||||
case GGML_TYPE_F32:
|
||||
case GGML_TYPE_F16:
|
||||
case GGML_TYPE_I8:
|
||||
case GGML_TYPE_I16:
|
||||
case GGML_TYPE_I32:
|
||||
case GGML_TYPE_I64:
|
||||
case GGML_TYPE_F64:
|
||||
case GGML_TYPE_Q8_1:
|
||||
case GGML_TYPE_Q8_K:
|
||||
case GGML_TYPE_IQ2_XXS:
|
||||
case GGML_TYPE_IQ2_XS:
|
||||
case GGML_TYPE_IQ2_S:
|
||||
case GGML_TYPE_IQ3_XXS:
|
||||
case GGML_TYPE_IQ3_S:
|
||||
case GGML_TYPE_IQ1_S:
|
||||
case GGML_TYPE_IQ4_NL:
|
||||
case GGML_TYPE_IQ4_XS:
|
||||
case GGML_TYPE_IQ1_M:
|
||||
case GGML_TYPE_BF16:
|
||||
case GGML_TYPE_COUNT:
|
||||
{
|
||||
fprintf(stderr, "%s: unsupported quantization type %d (%s)\n", __func__, ttype, ggml_type_name((ggml_type) ttype));
|
||||
@ -219,7 +207,15 @@ bool ggml_common_quantize_0(
|
||||
fout.write(reinterpret_cast<char *>(work.data()), cur_size);
|
||||
total_size_new += cur_size;
|
||||
|
||||
printf("size = %8.2f MB -> %8.2f MB\n", nelements * sizeof(float)/1024.0/1024.0, cur_size/1024.0/1024.0);
|
||||
printf("size = %8.2f MB -> %8.2f MB | hist: ", nelements * sizeof(float)/1024.0/1024.0, cur_size/1024.0/1024.0);
|
||||
for (int i = 0; i < (int) hist_cur.size(); ++i) {
|
||||
hist_all[i] += hist_cur[i];
|
||||
}
|
||||
|
||||
for (int i = 0; i < (int) hist_cur.size(); ++i) {
|
||||
printf("%5.3f ", hist_cur[i] / (float)nelements);
|
||||
}
|
||||
printf("\n");
|
||||
} else {
|
||||
printf("size = %8.3f MB\n", data_u8.size()/1024.0/1024.0);
|
||||
fout.write(reinterpret_cast<char *>(data_u8.data()), data_u8.size());
|
||||
@ -232,5 +228,18 @@ bool ggml_common_quantize_0(
|
||||
printf("%s: model size = %8.2f MB\n", __func__, total_size_org/1024.0/1024.0);
|
||||
printf("%s: quant size = %8.2f MB | ftype = %d (%s)\n", __func__, total_size_new/1024.0/1024.0, ftype, ggml_type_name(qtype));
|
||||
|
||||
{
|
||||
int64_t sum_all = 0;
|
||||
for (int i = 0; i < (int) hist_all.size(); ++i) {
|
||||
sum_all += hist_all[i];
|
||||
}
|
||||
|
||||
printf("%s: hist: ", __func__);
|
||||
for (int i = 0; i < (int) hist_all.size(); ++i) {
|
||||
printf("%5.3f ", hist_all[i] / (float)sum_all);
|
||||
}
|
||||
printf("\n");
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
@ -19,16 +19,6 @@
|
||||
#pragma warning(disable: 4244 4267) // possible loss of data
|
||||
#endif
|
||||
|
||||
#ifdef _WIN32
|
||||
#include <fcntl.h>
|
||||
#include <io.h>
|
||||
#endif
|
||||
|
||||
#ifdef WHISPER_FFMPEG
|
||||
// as implemented in ffmpeg_trancode.cpp only embedded in common lib if whisper built with ffmpeg support
|
||||
extern bool ffmpeg_decode_audio(const std::string & ifname, std::vector<uint8_t> & wav_data);
|
||||
#endif
|
||||
|
||||
// Function to check if the next argument exists
|
||||
std::string get_next_arg(int& i, int argc, char** argv, const std::string& flag, gpt_params& params) {
|
||||
if (i + 1 < argc && argv[i + 1][0] != '-') {
|
||||
@ -642,14 +632,10 @@ bool is_wav_buffer(const std::string buf) {
|
||||
|
||||
bool read_wav(const std::string & fname, std::vector<float>& pcmf32, std::vector<std::vector<float>>& pcmf32s, bool stereo) {
|
||||
drwav wav;
|
||||
std::vector<uint8_t> wav_data; // used for pipe input from stdin or ffmpeg decoding output
|
||||
std::vector<uint8_t> wav_data; // used for pipe input from stdin
|
||||
|
||||
if (fname == "-") {
|
||||
{
|
||||
#ifdef _WIN32
|
||||
_setmode(_fileno(stdin), _O_BINARY);
|
||||
#endif
|
||||
|
||||
uint8_t buf[1024];
|
||||
while (true)
|
||||
{
|
||||
@ -675,42 +661,27 @@ bool read_wav(const std::string & fname, std::vector<float>& pcmf32, std::vector
|
||||
}
|
||||
}
|
||||
else if (drwav_init_file(&wav, fname.c_str(), nullptr) == false) {
|
||||
#if defined(WHISPER_FFMPEG)
|
||||
if (ffmpeg_decode_audio(fname, wav_data) != 0) {
|
||||
fprintf(stderr, "error: failed to ffmpeg decode '%s' \n", fname.c_str());
|
||||
return false;
|
||||
}
|
||||
if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
|
||||
fprintf(stderr, "error: failed to read wav data as wav \n");
|
||||
return false;
|
||||
}
|
||||
#else
|
||||
fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname.c_str());
|
||||
return false;
|
||||
#endif
|
||||
}
|
||||
|
||||
if (wav.channels != 1 && wav.channels != 2) {
|
||||
fprintf(stderr, "%s: WAV file '%s' must be mono or stereo\n", __func__, fname.c_str());
|
||||
drwav_uninit(&wav);
|
||||
return false;
|
||||
}
|
||||
|
||||
if (stereo && wav.channels != 2) {
|
||||
fprintf(stderr, "%s: WAV file '%s' must be stereo for diarization\n", __func__, fname.c_str());
|
||||
drwav_uninit(&wav);
|
||||
return false;
|
||||
}
|
||||
|
||||
if (wav.sampleRate != COMMON_SAMPLE_RATE) {
|
||||
fprintf(stderr, "%s: WAV file '%s' must be %i kHz\n", __func__, fname.c_str(), COMMON_SAMPLE_RATE/1000);
|
||||
drwav_uninit(&wav);
|
||||
return false;
|
||||
}
|
||||
|
||||
if (wav.bitsPerSample != 16) {
|
||||
fprintf(stderr, "%s: WAV file '%s' must be 16-bit\n", __func__, fname.c_str());
|
||||
drwav_uninit(&wav);
|
||||
return false;
|
||||
}
|
||||
|
||||
@ -865,48 +836,3 @@ void sam_print_usage(int /*argc*/, char ** argv, const sam_params & params) {
|
||||
fprintf(stderr, " output file (default: %s)\n", params.fname_out.c_str());
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
|
||||
// 500 -> 00:05.000
|
||||
// 6000 -> 01:00.000
|
||||
std::string to_timestamp(int64_t t, bool comma) {
|
||||
int64_t msec = t * 10;
|
||||
int64_t hr = msec / (1000 * 60 * 60);
|
||||
msec = msec - hr * (1000 * 60 * 60);
|
||||
int64_t min = msec / (1000 * 60);
|
||||
msec = msec - min * (1000 * 60);
|
||||
int64_t sec = msec / 1000;
|
||||
msec = msec - sec * 1000;
|
||||
|
||||
char buf[32];
|
||||
snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
int timestamp_to_sample(int64_t t, int n_samples, int whisper_sample_rate) {
|
||||
return std::max(0, std::min((int) n_samples - 1, (int) ((t*whisper_sample_rate)/100)));
|
||||
}
|
||||
|
||||
bool is_file_exist(const char *fileName)
|
||||
{
|
||||
std::ifstream infile(fileName);
|
||||
return infile.good();
|
||||
}
|
||||
|
||||
bool speak_with_file(const std::string & command, const std::string & text, const std::string & path, int voice_id)
|
||||
{
|
||||
std::ofstream speak_file(path.c_str());
|
||||
if (speak_file.fail()) {
|
||||
fprintf(stderr, "%s: failed to open speak_file\n", __func__);
|
||||
return false;
|
||||
} else {
|
||||
speak_file.write(text.c_str(), text.size());
|
||||
speak_file.close();
|
||||
int ret = system((command + " " + std::to_string(voice_id) + " " + path).c_str());
|
||||
if (ret != 0) {
|
||||
fprintf(stderr, "%s: failed to speak\n", __func__);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
@ -185,7 +185,7 @@ private:
|
||||
// It is assumed that PCM data is normalized to a range from -1 to 1
|
||||
bool write_audio(const float * data, size_t length) {
|
||||
for (size_t i = 0; i < length; ++i) {
|
||||
const int16_t intSample = int16_t(data[i] * 32767);
|
||||
const int16_t intSample = data[i] * 32767;
|
||||
file.write(reinterpret_cast<const char *>(&intSample), sizeof(int16_t));
|
||||
dataSize += sizeof(int16_t);
|
||||
}
|
||||
@ -281,31 +281,3 @@ struct sam_params {
|
||||
bool sam_params_parse(int argc, char ** argv, sam_params & params);
|
||||
|
||||
void sam_print_usage(int argc, char ** argv, const sam_params & params);
|
||||
|
||||
//
|
||||
// Terminal utils
|
||||
//
|
||||
|
||||
|
||||
// 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 = {
|
||||
"\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",
|
||||
};
|
||||
|
||||
//
|
||||
// Other utils
|
||||
//
|
||||
|
||||
// convert timestamp to string, 6000 -> 01:00.000
|
||||
std::string to_timestamp(int64_t t, bool comma = false);
|
||||
|
||||
// given a timestamp get the sample
|
||||
int timestamp_to_sample(int64_t t, int n_samples, int whisper_sample_rate);
|
||||
|
||||
// check if file exists using ifstream
|
||||
bool is_file_exist(const char *fileName);
|
||||
|
||||
// write text to file, and call system("command voice_id file")
|
||||
bool speak_with_file(const std::string & command, const std::string & text, const std::string & path, int voice_id);
|
||||
|
@ -1,350 +0,0 @@
|
||||
/* SPDX-License-Identifier: GPL-2.0 */
|
||||
|
||||
/*
|
||||
* transcode.c - convert audio file to WAVE
|
||||
*
|
||||
* Copyright (C) 2019 Andrew Clayton <andrew@digital-domain.net>
|
||||
* Copyright (C) 2024 William Tambellini <william.tambellini@gmail.com>
|
||||
*/
|
||||
|
||||
// Just for conveninent C++ API
|
||||
#include <vector>
|
||||
#include <string>
|
||||
|
||||
// C
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include <stdbool.h>
|
||||
#include <stdint.h>
|
||||
#include <sys/types.h>
|
||||
#include <sys/stat.h>
|
||||
#include <fcntl.h>
|
||||
#include <unistd.h>
|
||||
#include <sys/mman.h>
|
||||
|
||||
extern "C" {
|
||||
#include <libavutil/opt.h>
|
||||
#include <libavcodec/avcodec.h>
|
||||
#include <libavformat/avformat.h>
|
||||
#include <libswresample/swresample.h>
|
||||
}
|
||||
|
||||
typedef uint64_t u64;
|
||||
typedef int64_t s64;
|
||||
typedef uint32_t u32;
|
||||
typedef int32_t s32;
|
||||
typedef uint16_t u16;
|
||||
typedef int16_t s16;
|
||||
typedef uint8_t u8;
|
||||
typedef int8_t s8;
|
||||
|
||||
#define WAVE_SAMPLE_RATE 16000
|
||||
#define AVIO_CTX_BUF_SZ 4096
|
||||
|
||||
static const char* ffmpegLog = getenv("FFMPEG_LOG");
|
||||
// Todo: add __FILE__ __LINE__
|
||||
#define LOG(...) \
|
||||
do { if (ffmpegLog) fprintf(stderr, __VA_ARGS__); } while(0) // C99
|
||||
|
||||
/*
|
||||
* WAVE file header based on definition from
|
||||
* https://gist.github.com/Jon-Schneider/8b7c53d27a7a13346a643dac9c19d34f
|
||||
*
|
||||
* We must ensure this structure doesn't have any holes or
|
||||
* padding so we can just map it straight to the WAVE data.
|
||||
*/
|
||||
struct wave_hdr {
|
||||
/* RIFF Header: "RIFF" */
|
||||
char riff_header[4];
|
||||
/* size of audio data + sizeof(struct wave_hdr) - 8 */
|
||||
int wav_size;
|
||||
/* "WAVE" */
|
||||
char wav_header[4];
|
||||
|
||||
/* Format Header */
|
||||
/* "fmt " (includes trailing space) */
|
||||
char fmt_header[4];
|
||||
/* Should be 16 for PCM */
|
||||
int fmt_chunk_size;
|
||||
/* Should be 1 for PCM. 3 for IEEE Float */
|
||||
s16 audio_format;
|
||||
s16 num_channels;
|
||||
int sample_rate;
|
||||
/*
|
||||
* Number of bytes per second
|
||||
* sample_rate * num_channels * bit_depth/8
|
||||
*/
|
||||
int byte_rate;
|
||||
/* num_channels * bytes per sample */
|
||||
s16 sample_alignment;
|
||||
/* bits per sample */
|
||||
s16 bit_depth;
|
||||
|
||||
/* Data Header */
|
||||
/* "data" */
|
||||
char data_header[4];
|
||||
/*
|
||||
* size of audio
|
||||
* number of samples * num_channels * bit_depth/8
|
||||
*/
|
||||
int data_bytes;
|
||||
} __attribute__((__packed__));
|
||||
|
||||
struct audio_buffer {
|
||||
u8 *ptr;
|
||||
int size; /* size left in the buffer */
|
||||
};
|
||||
|
||||
static void set_wave_hdr(wave_hdr& wh, size_t size) {
|
||||
memcpy(&wh.riff_header, "RIFF", 4);
|
||||
wh.wav_size = size + sizeof(struct wave_hdr) - 8;
|
||||
memcpy(&wh.wav_header, "WAVE", 4);
|
||||
memcpy(&wh.fmt_header, "fmt ", 4);
|
||||
wh.fmt_chunk_size = 16;
|
||||
wh.audio_format = 1;
|
||||
wh.num_channels = 1;
|
||||
wh.sample_rate = WAVE_SAMPLE_RATE;
|
||||
wh.sample_alignment = 2;
|
||||
wh.bit_depth = 16;
|
||||
wh.byte_rate = wh.sample_rate * wh.sample_alignment;
|
||||
memcpy(&wh.data_header, "data", 4);
|
||||
wh.data_bytes = size;
|
||||
}
|
||||
|
||||
static void write_wave_hdr(int fd, size_t size) {
|
||||
struct wave_hdr wh;
|
||||
set_wave_hdr(wh, size);
|
||||
write(fd, &wh, sizeof(struct wave_hdr));
|
||||
}
|
||||
|
||||
static int map_file(int fd, u8 **ptr, size_t *size)
|
||||
{
|
||||
struct stat sb;
|
||||
|
||||
fstat(fd, &sb);
|
||||
*size = sb.st_size;
|
||||
|
||||
*ptr = (u8*)mmap(NULL, *size, PROT_READ|PROT_WRITE, MAP_PRIVATE, fd, 0);
|
||||
if (*ptr == MAP_FAILED) {
|
||||
perror("mmap");
|
||||
return -1;
|
||||
}
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
static int read_packet(void *opaque, u8 *buf, int buf_size)
|
||||
{
|
||||
struct audio_buffer *audio_buf = (audio_buffer*)opaque;
|
||||
|
||||
buf_size = FFMIN(buf_size, audio_buf->size);
|
||||
|
||||
/* copy internal buffer data to buf */
|
||||
memcpy(buf, audio_buf->ptr, buf_size);
|
||||
audio_buf->ptr += buf_size;
|
||||
audio_buf->size -= buf_size;
|
||||
|
||||
return buf_size;
|
||||
}
|
||||
|
||||
static void convert_frame(struct SwrContext *swr, AVCodecContext *codec,
|
||||
AVFrame *frame, s16 **data, int *size, bool flush)
|
||||
{
|
||||
int nr_samples;
|
||||
s64 delay;
|
||||
u8 *buffer;
|
||||
|
||||
delay = swr_get_delay(swr, codec->sample_rate);
|
||||
nr_samples = av_rescale_rnd(delay + frame->nb_samples,
|
||||
WAVE_SAMPLE_RATE, codec->sample_rate,
|
||||
AV_ROUND_UP);
|
||||
av_samples_alloc(&buffer, NULL, 1, nr_samples, AV_SAMPLE_FMT_S16, 0);
|
||||
|
||||
/*
|
||||
* !flush is used to check if we are flushing any remaining
|
||||
* conversion buffers...
|
||||
*/
|
||||
nr_samples = swr_convert(swr, &buffer, nr_samples,
|
||||
!flush ? (const u8 **)frame->data : NULL,
|
||||
!flush ? frame->nb_samples : 0);
|
||||
|
||||
*data = (s16*)realloc(*data, (*size + nr_samples) * sizeof(s16));
|
||||
memcpy(*data + *size, buffer, nr_samples * sizeof(s16));
|
||||
*size += nr_samples;
|
||||
av_freep(&buffer);
|
||||
}
|
||||
|
||||
static bool is_audio_stream(const AVStream *stream)
|
||||
{
|
||||
if (stream->codecpar->codec_type == AVMEDIA_TYPE_AUDIO)
|
||||
return true;
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
// Return non zero on error, 0 on success
|
||||
// audio_buffer: input memory
|
||||
// data: decoded output audio data (wav file)
|
||||
// size: size of output data
|
||||
static int decode_audio(struct audio_buffer *audio_buf, s16 **data, int *size)
|
||||
{
|
||||
LOG("decode_audio: input size: %d\n", audio_buf->size);
|
||||
AVFormatContext *fmt_ctx;
|
||||
AVIOContext *avio_ctx;
|
||||
AVStream *stream;
|
||||
AVCodecContext *codec;
|
||||
AVPacket packet;
|
||||
AVFrame *frame;
|
||||
struct SwrContext *swr;
|
||||
u8 *avio_ctx_buffer;
|
||||
unsigned int i;
|
||||
int stream_index = -1;
|
||||
int err;
|
||||
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);
|
||||
avio_ctx = avio_alloc_context(avio_ctx_buffer, AVIO_CTX_BUF_SZ, 0, audio_buf, &read_packet, NULL, NULL);
|
||||
fmt_ctx->pb = avio_ctx;
|
||||
|
||||
// open the input stream and read header
|
||||
err = avformat_open_input(&fmt_ctx, NULL, NULL, NULL);
|
||||
if (err) {
|
||||
LOG("Could not read audio buffer: %d: %s\n", err, av_make_error_string(errbuff, errbuffsize, err));
|
||||
return err;
|
||||
}
|
||||
|
||||
err = avformat_find_stream_info(fmt_ctx, NULL);
|
||||
if (err < 0) {
|
||||
LOG("Could not retrieve stream info from audio buffer: %d\n", err);
|
||||
return err;
|
||||
}
|
||||
|
||||
for (i = 0; i < fmt_ctx->nb_streams; i++) {
|
||||
if (is_audio_stream(fmt_ctx->streams[i])) {
|
||||
stream_index = i;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (stream_index == -1) {
|
||||
LOG("Could not retrieve audio stream from buffer\n");
|
||||
return -1;
|
||||
}
|
||||
|
||||
stream = fmt_ctx->streams[stream_index];
|
||||
codec = avcodec_alloc_context3(
|
||||
avcodec_find_decoder(stream->codecpar->codec_id));
|
||||
avcodec_parameters_to_context(codec, stream->codecpar);
|
||||
err = avcodec_open2(codec, avcodec_find_decoder(codec->codec_id),
|
||||
NULL);
|
||||
if (err) {
|
||||
LOG("Failed to open decoder for stream #%d in audio buffer\n", stream_index);
|
||||
return err;
|
||||
}
|
||||
|
||||
/* prepare resampler */
|
||||
swr = swr_alloc();
|
||||
|
||||
av_opt_set_int(swr, "in_channel_count", codec->channels, 0);
|
||||
av_opt_set_int(swr, "out_channel_count", 1, 0);
|
||||
av_opt_set_int(swr, "in_channel_layout", codec->channel_layout, 0);
|
||||
av_opt_set_int(swr, "out_channel_layout", AV_CH_LAYOUT_MONO, 0);
|
||||
av_opt_set_int(swr, "in_sample_rate", codec->sample_rate, 0);
|
||||
av_opt_set_int(swr, "out_sample_rate", WAVE_SAMPLE_RATE, 0);
|
||||
av_opt_set_sample_fmt(swr, "in_sample_fmt", codec->sample_fmt, 0);
|
||||
av_opt_set_sample_fmt(swr, "out_sample_fmt", AV_SAMPLE_FMT_S16, 0);
|
||||
|
||||
swr_init(swr);
|
||||
if (!swr_is_initialized(swr)) {
|
||||
LOG("Resampler has not been properly initialized\n");
|
||||
return -1;
|
||||
}
|
||||
|
||||
av_init_packet(&packet);
|
||||
frame = av_frame_alloc();
|
||||
if (!frame) {
|
||||
LOG("Error allocating the frame\n");
|
||||
return -1;
|
||||
}
|
||||
|
||||
/* iterate through frames */
|
||||
*data = NULL;
|
||||
*size = 0;
|
||||
while (av_read_frame(fmt_ctx, &packet) >= 0) {
|
||||
avcodec_send_packet(codec, &packet);
|
||||
|
||||
err = avcodec_receive_frame(codec, frame);
|
||||
if (err == AVERROR(EAGAIN))
|
||||
continue;
|
||||
|
||||
convert_frame(swr, codec, frame, data, size, false);
|
||||
}
|
||||
/* Flush any remaining conversion buffers... */
|
||||
convert_frame(swr, codec, frame, data, size, true);
|
||||
|
||||
av_frame_free(&frame);
|
||||
swr_free(&swr);
|
||||
//avio_context_free(); // todo?
|
||||
avcodec_close(codec);
|
||||
avformat_close_input(&fmt_ctx);
|
||||
avformat_free_context(fmt_ctx);
|
||||
|
||||
if (avio_ctx) {
|
||||
av_freep(&avio_ctx->buffer);
|
||||
av_freep(&avio_ctx);
|
||||
}
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
// in mem decoding/conversion/resampling:
|
||||
// ifname: input file path
|
||||
// owav_data: in mem wav file. Can be forwarded as it to whisper/drwav
|
||||
// return 0 on success
|
||||
int ffmpeg_decode_audio(const std::string &ifname, std::vector<uint8_t>& owav_data) {
|
||||
LOG("ffmpeg_decode_audio: %s\n", ifname.c_str());
|
||||
int ifd = open(ifname.c_str(), O_RDONLY);
|
||||
if (ifd == -1) {
|
||||
fprintf(stderr, "Couldn't open input file %s\n", ifname.c_str());
|
||||
return -1;
|
||||
}
|
||||
u8 *ibuf = NULL;
|
||||
size_t ibuf_size;
|
||||
int err = map_file(ifd, &ibuf, &ibuf_size);
|
||||
if (err) {
|
||||
LOG("Couldn't map input file %s\n", ifname.c_str());
|
||||
return err;
|
||||
}
|
||||
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;
|
||||
|
||||
s16 *odata=NULL;
|
||||
int osize=0;
|
||||
|
||||
err = decode_audio(&inaudio_buf, &odata, &osize);
|
||||
LOG("decode_audio returned %d \n", err);
|
||||
if (err != 0) {
|
||||
LOG("decode_audio failed\n");
|
||||
return err;
|
||||
}
|
||||
LOG("decode_audio output size: %d\n", osize);
|
||||
|
||||
wave_hdr wh;
|
||||
const size_t outdatasize = osize * sizeof(s16);
|
||||
set_wave_hdr(wh, outdatasize);
|
||||
owav_data.resize(sizeof(wave_hdr) + outdatasize);
|
||||
// header:
|
||||
memcpy(owav_data.data(), &wh, sizeof(wave_hdr));
|
||||
// the data:
|
||||
memcpy(owav_data.data() + sizeof(wave_hdr), odata, osize* sizeof(s16));
|
||||
|
||||
return 0;
|
||||
}
|
@ -190,7 +190,7 @@ namespace grammar_parser {
|
||||
pos = parse_space(pos + 1, is_nested);
|
||||
} else if (*pos == '*' || *pos == '+' || *pos == '?') { // repetition operator
|
||||
if (last_sym_start == out_elements.size()) {
|
||||
throw std::runtime_error(std::string("expecting preceding item to */+/? at ") + pos);
|
||||
throw std::runtime_error(std::string("expecting preceeding item to */+/? at ") + pos);
|
||||
}
|
||||
|
||||
// apply transformation to previous symbol (last_sym_start to end) according to
|
||||
|
@ -34,6 +34,9 @@ async function fetchRemote(url, cbProgress, cbPrint) {
|
||||
url,
|
||||
{
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/octet-stream',
|
||||
},
|
||||
}
|
||||
);
|
||||
|
||||
|
@ -5,5 +5,5 @@ if (WHISPER_SDL2)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
|
||||
target_link_libraries(${TARGET} PRIVATE common json_cpp common-sdl whisper ${CMAKE_THREAD_LIBS_INIT})
|
||||
target_link_libraries(${TARGET} PRIVATE common common-sdl whisper ${CMAKE_THREAD_LIBS_INIT})
|
||||
endif ()
|
||||
|
@ -26,11 +26,11 @@ struct whisper_params {
|
||||
float vad_thold = 0.6f;
|
||||
float freq_thold = 100.0f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool translate = false;
|
||||
bool print_special = false;
|
||||
bool print_energy = false;
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
|
||||
std::string language = "en";
|
||||
std::string model = "models/ggml-base.en.bin";
|
||||
@ -69,11 +69,11 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
else if (arg == "-pe" || arg == "--print-energy") { params.print_energy = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else {
|
||||
@ -100,11 +100,11 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
|
||||
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
|
||||
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
|
||||
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
|
||||
fprintf(stderr, " -pe, --print-energy [%-7s] print sound energy (for debugging)\n", params.print_energy ? "true" : "false");
|
||||
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
|
||||
fprintf(stderr, " -fa, --flash-attn [%-7s] flash attention\n", params.flash_attn ? "true" : "false");
|
||||
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.c_str());
|
||||
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
|
||||
fprintf(stderr, "\n");
|
||||
@ -181,6 +181,7 @@ json unguided_transcription(struct whisper_context * ctx, audio_async &audio, js
|
||||
wparams.n_threads = params.n_threads;
|
||||
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
wparams.speed_up = params.speed_up;
|
||||
wparams.suppress_non_speech_tokens = true;
|
||||
// run the transformer and a single decoding pass
|
||||
if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
|
||||
@ -219,6 +220,7 @@ json guided_transcription(struct whisper_context * ctx, audio_async &audio, cons
|
||||
wparams.n_threads = params.n_threads;
|
||||
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
wparams.speed_up = params.speed_up;
|
||||
|
||||
// TODO: Do some time testing. Does an overly long prompt slow down processing?
|
||||
// Set up command sets/precompute prompts
|
||||
@ -434,10 +436,7 @@ int main(int argc, char ** argv) {
|
||||
|
||||
// whisper init
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
// init audio
|
||||
|
||||
|
@ -3,4 +3,4 @@ add_executable(${TARGET} main.cpp)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
|
||||
target_link_libraries(${TARGET} PRIVATE common whisper ${FFMPEG_LIBRARIES} ${CMAKE_THREAD_LIBS_INIT})
|
||||
target_link_libraries(${TARGET} PRIVATE common whisper ${CMAKE_THREAD_LIBS_INIT})
|
||||
|
@ -1,12 +1,10 @@
|
||||
#include "common.h"
|
||||
|
||||
#include "whisper.h"
|
||||
#include "grammar-parser.h"
|
||||
|
||||
#include <cmath>
|
||||
#include <fstream>
|
||||
#include <cstdio>
|
||||
#include <regex>
|
||||
#include <string>
|
||||
#include <thread>
|
||||
#include <vector>
|
||||
@ -16,6 +14,34 @@
|
||||
#pragma warning(disable: 4244 4267) // possible loss of data
|
||||
#endif
|
||||
|
||||
// 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 = {
|
||||
"\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",
|
||||
};
|
||||
|
||||
// 500 -> 00:05.000
|
||||
// 6000 -> 01:00.000
|
||||
std::string to_timestamp(int64_t t, bool comma = false) {
|
||||
int64_t msec = t * 10;
|
||||
int64_t hr = msec / (1000 * 60 * 60);
|
||||
msec = msec - hr * (1000 * 60 * 60);
|
||||
int64_t min = msec / (1000 * 60);
|
||||
msec = msec - min * (1000 * 60);
|
||||
int64_t sec = msec / 1000;
|
||||
msec = msec - sec * 1000;
|
||||
|
||||
char buf[32];
|
||||
snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
int timestamp_to_sample(int64_t t, int n_samples) {
|
||||
return std::max(0, std::min((int) n_samples - 1, (int) ((t*WHISPER_SAMPLE_RATE)/100)));
|
||||
}
|
||||
|
||||
// helper function to replace substrings
|
||||
void replace_all(std::string & s, const std::string & search, const std::string & replace) {
|
||||
for (size_t pos = 0; ; pos += replace.length()) {
|
||||
@ -28,25 +54,23 @@ void replace_all(std::string & s, const std::string & search, const std::string
|
||||
|
||||
// command-line parameters
|
||||
struct whisper_params {
|
||||
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
|
||||
int32_t n_processors = 1;
|
||||
int32_t offset_t_ms = 0;
|
||||
int32_t offset_n = 0;
|
||||
int32_t duration_ms = 0;
|
||||
int32_t progress_step = 5;
|
||||
int32_t max_context = -1;
|
||||
int32_t max_len = 0;
|
||||
int32_t best_of = whisper_full_default_params(WHISPER_SAMPLING_GREEDY).greedy.best_of;
|
||||
int32_t beam_size = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH).beam_search.beam_size;
|
||||
int32_t audio_ctx = 0;
|
||||
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
|
||||
int32_t n_processors = 1;
|
||||
int32_t offset_t_ms = 0;
|
||||
int32_t offset_n = 0;
|
||||
int32_t duration_ms = 0;
|
||||
int32_t progress_step = 5;
|
||||
int32_t max_context = -1;
|
||||
int32_t max_len = 0;
|
||||
int32_t best_of = whisper_full_default_params(WHISPER_SAMPLING_GREEDY).greedy.best_of;
|
||||
int32_t beam_size = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH).beam_search.beam_size;
|
||||
int32_t audio_ctx = 0;
|
||||
|
||||
float word_thold = 0.01f;
|
||||
float entropy_thold = 2.40f;
|
||||
float logprob_thold = -1.00f;
|
||||
float grammar_penalty = 100.0f;
|
||||
float temperature = 0.0f;
|
||||
float temperature_inc = 0.2f;
|
||||
float word_thold = 0.01f;
|
||||
float entropy_thold = 2.40f;
|
||||
float logprob_thold = -1.00f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool debug_mode = false;
|
||||
bool translate = false;
|
||||
bool detect_language = false;
|
||||
@ -69,41 +93,23 @@ struct whisper_params {
|
||||
bool no_timestamps = false;
|
||||
bool log_score = false;
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
|
||||
std::string language = "en";
|
||||
std::string prompt;
|
||||
std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
|
||||
std::string model = "models/ggml-base.en.bin";
|
||||
std::string grammar;
|
||||
std::string grammar_rule;
|
||||
|
||||
// [TDRZ] speaker turn string
|
||||
std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
|
||||
|
||||
// A regular expression that matches tokens to suppress
|
||||
std::string suppress_regex;
|
||||
|
||||
std::string openvino_encode_device = "CPU";
|
||||
|
||||
std::string dtw = "";
|
||||
|
||||
std::vector<std::string> fname_inp = {};
|
||||
std::vector<std::string> fname_out = {};
|
||||
|
||||
grammar_parser::parse_state grammar_parsed;
|
||||
};
|
||||
|
||||
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
|
||||
|
||||
char* whisper_param_turn_lowercase(char* in){
|
||||
int string_len = strlen(in);
|
||||
for(int i = 0; i < string_len; i++){
|
||||
*(in+i) = tolower((unsigned char)*(in+i));
|
||||
}
|
||||
return in;
|
||||
}
|
||||
|
||||
bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
for (int i = 1; i < argc; i++) {
|
||||
std::string arg = argv[i];
|
||||
@ -131,12 +137,11 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
|
||||
else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
|
||||
else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ac" || arg == "--audio-context") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-tp" || arg == "--temperature") { params.temperature = std::stof(argv[++i]); }
|
||||
else if (arg == "-tpi" || arg == "--temperature-inc") { params.temperature_inc = std::stof(argv[++i]); }
|
||||
// else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-debug"|| arg == "--debug-mode") { params.debug_mode = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
|
||||
@ -158,20 +163,14 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; }
|
||||
else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; }
|
||||
else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = whisper_param_turn_lowercase(argv[++i]); }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
||||
else if (arg == "-dl" || arg == "--detect-language") { params.detect_language = true; }
|
||||
else if ( arg == "--prompt") { params.prompt = argv[++i]; }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); }
|
||||
else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
|
||||
else if (arg == "-dtw" || arg == "--dtw") { params.dtw = argv[++i]; }
|
||||
else if (arg == "-ls" || arg == "--log-score") { params.log_score = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
else if ( arg == "--suppress-regex") { params.suppress_regex = argv[++i]; }
|
||||
else if ( arg == "--grammar") { params.grammar = argv[++i]; }
|
||||
else if ( arg == "--grammar-rule") { params.grammar_rule = argv[++i]; }
|
||||
else if ( arg == "--grammar-penalty") { params.grammar_penalty = std::stof(argv[++i]); }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
whisper_print_usage(argc, argv, params);
|
||||
@ -202,8 +201,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold);
|
||||
fprintf(stderr, " -et N, --entropy-thold N [%-7.2f] entropy threshold for decoder fail\n", params.entropy_thold);
|
||||
fprintf(stderr, " -lpt N, --logprob-thold N [%-7.2f] log probability threshold for decoder fail\n", params.logprob_thold);
|
||||
fprintf(stderr, " -tp, --temperature N [%-7.2f] The sampling temperature, between 0 and 1\n", params.temperature);
|
||||
fprintf(stderr, " -tpi, --temperature-inc N [%-7.2f] The increment of temperature, between 0 and 1\n",params.temperature_inc);
|
||||
// fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -debug, --debug-mode [%-7s] enable debug mode (eg. dump log_mel)\n", params.debug_mode ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
|
||||
@ -226,18 +224,12 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -nt, --no-timestamps [%-7s] do not print timestamps\n", params.no_timestamps ? "true" : "false");
|
||||
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language ('auto' for auto-detect)\n", params.language.c_str());
|
||||
fprintf(stderr, " -dl, --detect-language [%-7s] exit after automatically detecting language\n", params.detect_language ? "true" : "false");
|
||||
fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt (max n_text_ctx/2 tokens)\n", params.prompt.c_str());
|
||||
fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt\n", params.prompt.c_str());
|
||||
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
|
||||
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] input WAV file path\n", "");
|
||||
fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
|
||||
fprintf(stderr, " -dtw MODEL --dtw MODEL [%-7s] compute token-level timestamps\n", params.dtw.c_str());
|
||||
fprintf(stderr, " -ls, --log-score [%-7s] log best decoder scores of tokens\n", params.log_score?"true":"false");
|
||||
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
|
||||
fprintf(stderr, " -fa, --flash-attn [%-7s] flash attention\n", params.flash_attn ? "true" : "false");
|
||||
fprintf(stderr, " --suppress-regex REGEX [%-7s] regular expression matching tokens to suppress\n", params.suppress_regex.c_str());
|
||||
fprintf(stderr, " --grammar GRAMMAR [%-7s] GBNF grammar to guide decoding\n", params.grammar.c_str());
|
||||
fprintf(stderr, " --grammar-rule RULE [%-7s] top-level GBNF grammar rule name\n", params.grammar_rule.c_str());
|
||||
fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty);
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
|
||||
@ -252,8 +244,8 @@ std::string estimate_diarization_speaker(std::vector<std::vector<float>> pcmf32s
|
||||
std::string speaker = "";
|
||||
const int64_t n_samples = pcmf32s[0].size();
|
||||
|
||||
const int64_t is0 = timestamp_to_sample(t0, n_samples, WHISPER_SAMPLE_RATE);
|
||||
const int64_t is1 = timestamp_to_sample(t1, n_samples, WHISPER_SAMPLE_RATE);
|
||||
const int64_t is0 = timestamp_to_sample(t0, n_samples);
|
||||
const int64_t is1 = timestamp_to_sample(t1, n_samples);
|
||||
|
||||
double energy0 = 0.0f;
|
||||
double energy1 = 0.0f;
|
||||
@ -477,38 +469,6 @@ char *escape_double_quotes_and_backslashes(const char *str) {
|
||||
return escaped;
|
||||
}
|
||||
|
||||
// double quote should be escaped by another double quote. (rfc4180)
|
||||
char *escape_double_quotes_in_csv(const char *str) {
|
||||
if (str == NULL) {
|
||||
return NULL;
|
||||
}
|
||||
|
||||
size_t escaped_length = strlen(str) + 1;
|
||||
|
||||
for (size_t i = 0; str[i] != '\0'; i++) {
|
||||
if (str[i] == '"') {
|
||||
escaped_length++;
|
||||
}
|
||||
}
|
||||
|
||||
char *escaped = (char *)calloc(escaped_length, 1); // pre-zeroed
|
||||
if (escaped == NULL) {
|
||||
return NULL;
|
||||
}
|
||||
|
||||
size_t pos = 0;
|
||||
for (size_t i = 0; str[i] != '\0'; i++) {
|
||||
if (str[i] == '"') {
|
||||
escaped[pos++] = '"';
|
||||
}
|
||||
escaped[pos++] = str[i];
|
||||
}
|
||||
|
||||
// no need to set zero due to calloc() being used prior
|
||||
|
||||
return escaped;
|
||||
}
|
||||
|
||||
bool output_csv(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
|
||||
std::ofstream fout(fname);
|
||||
if (!fout.is_open()) {
|
||||
@ -530,7 +490,7 @@ bool output_csv(struct whisper_context * ctx, const char * fname, const whisper_
|
||||
const char * text = whisper_full_get_segment_text(ctx, i);
|
||||
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
||||
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
||||
char * text_escaped = escape_double_quotes_in_csv(text);
|
||||
char * text_escaped = escape_double_quotes_and_backslashes(text);
|
||||
|
||||
//need to multiply times returned from whisper_full_get_segment_t{0,1}() by 10 to get milliseconds.
|
||||
fout << 10 * t0 << "," << 10 * t1 << ",";
|
||||
@ -709,8 +669,7 @@ bool output_json(
|
||||
times_o(token.t0, token.t1, false);
|
||||
}
|
||||
value_i("id", token.id, false);
|
||||
value_f("p", token.p, false);
|
||||
value_f("t_dtw", token.t_dtw, true);
|
||||
value_f("p", token.p, true);
|
||||
end_obj(j == (n - 1));
|
||||
}
|
||||
end_arr(!params.diarize && !params.tinydiarize);
|
||||
@ -905,53 +864,11 @@ void cb_log_disable(enum ggml_log_level , const char * , void * ) { }
|
||||
int main(int argc, char ** argv) {
|
||||
whisper_params params;
|
||||
|
||||
// If the only argument starts with "@", read arguments line-by-line
|
||||
// from the given file.
|
||||
std::vector<std::string> vec_args;
|
||||
if (argc == 2 && argv != nullptr && argv[1] != nullptr && argv[1][0] == '@') {
|
||||
// Save the name of the executable.
|
||||
vec_args.push_back(argv[0]);
|
||||
|
||||
// Open the response file.
|
||||
char const * rspfile = argv[1] + sizeof(char);
|
||||
std::ifstream fin(rspfile);
|
||||
if (fin.is_open() == false) {
|
||||
fprintf(stderr, "error: response file '%s' not found\n", rspfile);
|
||||
return 1;
|
||||
}
|
||||
|
||||
// Read the entire response file.
|
||||
std::string line;
|
||||
while (std::getline(fin, line)) {
|
||||
vec_args.push_back(line);
|
||||
}
|
||||
|
||||
// Use the contents of the response file as the command-line arguments.
|
||||
argc = static_cast<int>(vec_args.size());
|
||||
argv = static_cast<char **>(alloca(argc * sizeof (char *)));
|
||||
for (int i = 0; i < argc; ++i) {
|
||||
argv[i] = const_cast<char *>(vec_args[i].c_str());
|
||||
}
|
||||
}
|
||||
|
||||
if (whisper_params_parse(argc, argv, params) == false) {
|
||||
whisper_print_usage(argc, argv, params);
|
||||
return 1;
|
||||
}
|
||||
|
||||
// remove non-existent files
|
||||
for (auto it = params.fname_inp.begin(); it != params.fname_inp.end();) {
|
||||
const auto fname_inp = it->c_str();
|
||||
|
||||
if (*it != "-" && !is_file_exist(fname_inp)) {
|
||||
fprintf(stderr, "error: input file not found '%s'\n", fname_inp);
|
||||
it = params.fname_inp.erase(it);
|
||||
continue;
|
||||
}
|
||||
|
||||
it++;
|
||||
}
|
||||
|
||||
if (params.fname_inp.empty()) {
|
||||
fprintf(stderr, "error: no input files specified\n");
|
||||
whisper_print_usage(argc, argv, params);
|
||||
@ -977,31 +894,7 @@ int main(int argc, char ** argv) {
|
||||
// whisper init
|
||||
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
|
||||
if (!params.dtw.empty()) {
|
||||
cparams.dtw_token_timestamps = true;
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_NONE;
|
||||
|
||||
if (params.dtw == "tiny") cparams.dtw_aheads_preset = WHISPER_AHEADS_TINY;
|
||||
if (params.dtw == "tiny.en") cparams.dtw_aheads_preset = WHISPER_AHEADS_TINY_EN;
|
||||
if (params.dtw == "base") cparams.dtw_aheads_preset = WHISPER_AHEADS_BASE;
|
||||
if (params.dtw == "base.en") cparams.dtw_aheads_preset = WHISPER_AHEADS_BASE_EN;
|
||||
if (params.dtw == "small") cparams.dtw_aheads_preset = WHISPER_AHEADS_SMALL;
|
||||
if (params.dtw == "small.en") cparams.dtw_aheads_preset = WHISPER_AHEADS_SMALL_EN;
|
||||
if (params.dtw == "medium") cparams.dtw_aheads_preset = WHISPER_AHEADS_MEDIUM;
|
||||
if (params.dtw == "medium.en") cparams.dtw_aheads_preset = WHISPER_AHEADS_MEDIUM_EN;
|
||||
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 (cparams.dtw_aheads_preset == WHISPER_AHEADS_NONE) {
|
||||
fprintf(stderr, "error: unknown DTW preset '%s'\n", params.dtw.c_str());
|
||||
return 3;
|
||||
}
|
||||
}
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
|
||||
@ -1013,29 +906,6 @@ int main(int argc, char ** argv) {
|
||||
// initialize openvino encoder. this has no effect on whisper.cpp builds that don't have OpenVINO configured
|
||||
whisper_ctx_init_openvino_encoder(ctx, nullptr, params.openvino_encode_device.c_str(), nullptr);
|
||||
|
||||
if (!params.grammar.empty()) {
|
||||
auto & grammar = params.grammar_parsed;
|
||||
if (is_file_exist(params.grammar.c_str())) {
|
||||
// read grammar from file
|
||||
std::ifstream ifs(params.grammar.c_str());
|
||||
const std::string txt = std::string((std::istreambuf_iterator<char>(ifs)), std::istreambuf_iterator<char>());
|
||||
grammar = grammar_parser::parse(txt.c_str());
|
||||
} else {
|
||||
// read grammar from string
|
||||
grammar = grammar_parser::parse(params.grammar.c_str());
|
||||
}
|
||||
|
||||
// will be empty (default) if there are parse errors
|
||||
if (grammar.rules.empty()) {
|
||||
fprintf(stderr, "error: failed to parse grammar \"%s\"\n", params.grammar.c_str());
|
||||
return 4;
|
||||
} else {
|
||||
fprintf(stderr, "%s: grammar:\n", __func__);
|
||||
grammar_parser::print_grammar(stderr, grammar);
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
}
|
||||
|
||||
for (int f = 0; f < (int) params.fname_inp.size(); ++f) {
|
||||
const auto fname_inp = params.fname_inp[f];
|
||||
const auto fname_out = f < (int) params.fname_out.size() && !params.fname_out[f].empty() ? params.fname_out[f] : params.fname_inp[f];
|
||||
@ -1082,8 +952,7 @@ int main(int argc, char ** argv) {
|
||||
{
|
||||
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
|
||||
|
||||
const bool use_grammar = (!params.grammar_parsed.rules.empty() && !params.grammar_rule.empty());
|
||||
wparams.strategy = (params.beam_size > 1 || use_grammar) ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY;
|
||||
wparams.strategy = params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY;
|
||||
|
||||
wparams.print_realtime = false;
|
||||
wparams.print_progress = params.print_progress;
|
||||
@ -1103,20 +972,17 @@ int main(int argc, char ** argv) {
|
||||
wparams.split_on_word = params.split_on_word;
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
|
||||
wparams.speed_up = params.speed_up;
|
||||
wparams.debug_mode = params.debug_mode;
|
||||
|
||||
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
|
||||
|
||||
wparams.suppress_regex = params.suppress_regex.empty() ? nullptr : params.suppress_regex.c_str();
|
||||
|
||||
wparams.initial_prompt = params.prompt.c_str();
|
||||
|
||||
wparams.greedy.best_of = params.best_of;
|
||||
wparams.beam_search.beam_size = params.beam_size;
|
||||
|
||||
wparams.temperature_inc = params.no_fallback ? 0.0f : params.temperature_inc;
|
||||
wparams.temperature = params.temperature;
|
||||
|
||||
wparams.temperature_inc = params.no_fallback ? 0.0f : wparams.temperature_inc;
|
||||
wparams.entropy_thold = params.entropy_thold;
|
||||
wparams.logprob_thold = params.logprob_thold;
|
||||
|
||||
@ -1124,20 +990,6 @@ int main(int argc, char ** argv) {
|
||||
|
||||
whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 };
|
||||
|
||||
const auto & grammar_parsed = params.grammar_parsed;
|
||||
auto grammar_rules = grammar_parsed.c_rules();
|
||||
|
||||
if (use_grammar) {
|
||||
if (grammar_parsed.symbol_ids.find(params.grammar_rule) == grammar_parsed.symbol_ids.end()) {
|
||||
fprintf(stderr, "%s: warning: grammar rule '%s' not found - skipping grammar sampling\n", __func__, params.grammar_rule.c_str());
|
||||
} else {
|
||||
wparams.grammar_rules = grammar_rules.data();
|
||||
wparams.n_grammar_rules = grammar_rules.size();
|
||||
wparams.i_start_rule = grammar_parsed.symbol_ids.at(params.grammar_rule);
|
||||
wparams.grammar_penalty = params.grammar_penalty;
|
||||
}
|
||||
}
|
||||
|
||||
// this callback is called on each new segment
|
||||
if (!wparams.print_realtime) {
|
||||
wparams.new_segment_callback = whisper_print_segment_callback;
|
||||
@ -1234,9 +1086,7 @@ int main(int argc, char ** argv) {
|
||||
}
|
||||
}
|
||||
|
||||
if (!params.no_prints) {
|
||||
whisper_print_timings(ctx);
|
||||
}
|
||||
whisper_print_timings(ctx);
|
||||
whisper_free(ctx);
|
||||
|
||||
return 0;
|
||||
|
@ -1,9 +1,9 @@
|
||||
set(TARGET server)
|
||||
add_executable(${TARGET} server.cpp httplib.h)
|
||||
add_executable(${TARGET} server.cpp httplib.h json.hpp)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
|
||||
target_link_libraries(${TARGET} PRIVATE common json_cpp whisper ${CMAKE_THREAD_LIBS_INIT})
|
||||
target_link_libraries(${TARGET} PRIVATE common whisper ${CMAKE_THREAD_LIBS_INIT})
|
||||
|
||||
if (WIN32)
|
||||
target_link_libraries(${TARGET} PRIVATE ws2_32)
|
||||
|
24596
examples/server/json.hpp
Normal file
24596
examples/server/json.hpp
Normal file
File diff suppressed because it is too large
Load Diff
@ -22,6 +22,13 @@ using json = nlohmann::ordered_json;
|
||||
|
||||
namespace {
|
||||
|
||||
// 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 = {
|
||||
"\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",
|
||||
};
|
||||
|
||||
// output formats
|
||||
const std::string json_format = "json";
|
||||
const std::string text_format = "text";
|
||||
@ -61,6 +68,7 @@ struct whisper_params {
|
||||
float temperature = 0.00f;
|
||||
float temperature_inc = 0.20f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool debug_mode = false;
|
||||
bool translate = false;
|
||||
bool detect_language = false;
|
||||
@ -74,7 +82,6 @@ struct whisper_params {
|
||||
bool print_progress = false;
|
||||
bool no_timestamps = false;
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
|
||||
std::string language = "en";
|
||||
std::string prompt = "";
|
||||
@ -87,10 +94,35 @@ struct whisper_params {
|
||||
std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
|
||||
|
||||
std::string openvino_encode_device = "CPU";
|
||||
|
||||
std::string dtw = "";
|
||||
};
|
||||
|
||||
// 500 -> 00:05.000
|
||||
// 6000 -> 01:00.000
|
||||
std::string to_timestamp(int64_t t, bool comma = false) {
|
||||
int64_t msec = t * 10;
|
||||
int64_t hr = msec / (1000 * 60 * 60);
|
||||
msec = msec - hr * (1000 * 60 * 60);
|
||||
int64_t min = msec / (1000 * 60);
|
||||
msec = msec - min * (1000 * 60);
|
||||
int64_t sec = msec / 1000;
|
||||
msec = msec - sec * 1000;
|
||||
|
||||
char buf[32];
|
||||
snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
int timestamp_to_sample(int64_t t, int n_samples) {
|
||||
return std::max(0, std::min((int) n_samples - 1, (int) ((t*WHISPER_SAMPLE_RATE)/100)));
|
||||
}
|
||||
|
||||
bool is_file_exist(const char *fileName)
|
||||
{
|
||||
std::ifstream infile(fileName);
|
||||
return infile.good();
|
||||
}
|
||||
|
||||
void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params, const server_params& sparams) {
|
||||
fprintf(stderr, "\n");
|
||||
fprintf(stderr, "usage: %s [options] \n", argv[0]);
|
||||
@ -111,6 +143,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold);
|
||||
fprintf(stderr, " -et N, --entropy-thold N [%-7.2f] entropy threshold for decoder fail\n", params.entropy_thold);
|
||||
fprintf(stderr, " -lpt N, --logprob-thold N [%-7.2f] log probability threshold for decoder fail\n", params.logprob_thold);
|
||||
// fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -debug, --debug-mode [%-7s] enable debug mode (eg. dump log_mel)\n", params.debug_mode ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
|
||||
@ -127,7 +160,6 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
|
||||
fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
|
||||
// server params
|
||||
fprintf(stderr, " -dtw MODEL --dtw MODEL [%-7s] compute token-level timestamps\n", params.dtw.c_str());
|
||||
fprintf(stderr, " --host HOST, [%-7s] Hostname/ip-adress for the server\n", sparams.hostname.c_str());
|
||||
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());
|
||||
@ -153,10 +185,11 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params, serve
|
||||
else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
|
||||
else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
|
||||
else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ac" || arg == "--audio-context") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
|
||||
// else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-debug"|| arg == "--debug-mode") { params.debug_mode = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
|
||||
@ -174,9 +207,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params, serve
|
||||
else if ( arg == "--prompt") { params.prompt = argv[++i]; }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
|
||||
else if (arg == "-dtw" || arg == "--dtw") { params.dtw = argv[++i]; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
// server params
|
||||
else if ( arg == "--port") { sparams.port = std::stoi(argv[++i]); }
|
||||
else if ( arg == "--host") { sparams.hostname = argv[++i]; }
|
||||
@ -243,8 +274,8 @@ std::string estimate_diarization_speaker(std::vector<std::vector<float>> pcmf32s
|
||||
std::string speaker = "";
|
||||
const int64_t n_samples = pcmf32s[0].size();
|
||||
|
||||
const int64_t is0 = timestamp_to_sample(t0, n_samples, WHISPER_SAMPLE_RATE);
|
||||
const int64_t is1 = timestamp_to_sample(t1, n_samples, WHISPER_SAMPLE_RATE);
|
||||
const int64_t is0 = timestamp_to_sample(t0, n_samples);
|
||||
const int64_t is1 = timestamp_to_sample(t1, n_samples);
|
||||
|
||||
double energy0 = 0.0f;
|
||||
double energy1 = 0.0f;
|
||||
@ -501,53 +532,7 @@ int main(int argc, char ** argv) {
|
||||
}
|
||||
// whisper init
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
|
||||
if (!params.dtw.empty()) {
|
||||
cparams.dtw_token_timestamps = true;
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_NONE;
|
||||
|
||||
if (params.dtw == "tiny") {
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_TINY;
|
||||
}
|
||||
if (params.dtw == "tiny.en") {
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_TINY_EN;
|
||||
}
|
||||
if (params.dtw == "base") {
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_BASE;
|
||||
}
|
||||
if (params.dtw == "base.en") {
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_BASE_EN;
|
||||
}
|
||||
if (params.dtw == "small") {
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_SMALL;
|
||||
}
|
||||
if (params.dtw == "small.en") {
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_SMALL_EN;
|
||||
}
|
||||
if (params.dtw == "medium") {
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_MEDIUM;
|
||||
}
|
||||
if (params.dtw == "medium.en") {
|
||||
cparams.dtw_aheads_preset = WHISPER_AHEADS_MEDIUM_EN;
|
||||
}
|
||||
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 (cparams.dtw_aheads_preset == WHISPER_AHEADS_NONE) {
|
||||
fprintf(stderr, "error: unknown DTW preset '%s'\n", params.dtw.c_str());
|
||||
return 3;
|
||||
}
|
||||
}
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
|
||||
@ -644,7 +629,7 @@ int main(int argc, char ** argv) {
|
||||
return false;
|
||||
});
|
||||
|
||||
svr.Options(sparams.request_path + "/inference", [&](const Request &, Response &){
|
||||
svr.Options(sparams.request_path + "/inference", [&](const Request &req, Response &res){
|
||||
});
|
||||
|
||||
svr.Post(sparams.request_path + "/inference", [&](const Request &req, Response &res){
|
||||
@ -765,6 +750,7 @@ int main(int argc, char ** argv) {
|
||||
wparams.split_on_word = params.split_on_word;
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
|
||||
wparams.speed_up = params.speed_up;
|
||||
wparams.debug_mode = params.debug_mode;
|
||||
|
||||
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
|
||||
@ -832,7 +818,7 @@ int main(int argc, char ** argv) {
|
||||
if (params.response_format == text_format)
|
||||
{
|
||||
std::string results = output_str(ctx, params, pcmf32s);
|
||||
res.set_content(results.c_str(), "text/html; charset=utf-8");
|
||||
res.set_content(results.c_str(), "text/html");
|
||||
}
|
||||
else if (params.response_format == srt_format)
|
||||
{
|
||||
@ -913,7 +899,6 @@ int main(int argc, char ** argv) {
|
||||
if (!params.no_timestamps) {
|
||||
word["start"] = token.t0 * 0.01;
|
||||
word["end"] = token.t1 * 0.01;
|
||||
word["t_dtw"] = token.t_dtw;
|
||||
}
|
||||
word["probability"] = token.p;
|
||||
total_logprob += token.plog;
|
||||
@ -943,7 +928,7 @@ int main(int argc, char ** argv) {
|
||||
"application/json");
|
||||
}
|
||||
|
||||
// reset params to their defaults
|
||||
// reset params to thier defaults
|
||||
params = default_params;
|
||||
});
|
||||
svr.Post(sparams.request_path + "/load", [&](const Request &req, Response &res){
|
||||
|
@ -103,11 +103,11 @@ void stream_main(size_t index) {
|
||||
|
||||
{
|
||||
const int n_segments = whisper_full_n_segments(ctx);
|
||||
if (n_segments > 0) {
|
||||
const char * text = whisper_full_get_segment_text(ctx, n_segments - 1);
|
||||
for (int i = n_segments - 1; i < n_segments; ++i) {
|
||||
const char * text = whisper_full_get_segment_text(ctx, i);
|
||||
|
||||
const int64_t t0 = whisper_full_get_segment_t0(ctx, n_segments - 1);
|
||||
const int64_t t1 = whisper_full_get_segment_t1(ctx, n_segments - 1);
|
||||
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
||||
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
||||
|
||||
printf("transcribed: %s\n", text);
|
||||
|
||||
|
@ -30,13 +30,9 @@ a transcription block that is suitable for parsing.
|
||||
The `stream` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
|
||||
|
||||
```bash
|
||||
# Install SDL2
|
||||
# On Debian based linux distributions:
|
||||
# Install SDL2 on Linux
|
||||
sudo apt-get install libsdl2-dev
|
||||
|
||||
# On Fedora Linux:
|
||||
sudo dnf install SDL2 SDL2-devel
|
||||
|
||||
# Install SDL2 on Mac OS
|
||||
brew install sdl2
|
||||
|
||||
|
@ -14,6 +14,20 @@
|
||||
#include <fstream>
|
||||
|
||||
|
||||
// 500 -> 00:05.000
|
||||
// 6000 -> 01:00.000
|
||||
std::string to_timestamp(int64_t t) {
|
||||
int64_t sec = t/100;
|
||||
int64_t msec = t - sec*100;
|
||||
int64_t min = sec/60;
|
||||
sec = sec - min*60;
|
||||
|
||||
char buf[32];
|
||||
snprintf(buf, sizeof(buf), "%02d:%02d.%03d", (int) min, (int) sec, (int) msec);
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
// command-line parameters
|
||||
struct whisper_params {
|
||||
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
|
||||
@ -27,6 +41,7 @@ struct whisper_params {
|
||||
float vad_thold = 0.6f;
|
||||
float freq_thold = 100.0f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool translate = false;
|
||||
bool no_fallback = false;
|
||||
bool print_special = false;
|
||||
@ -35,7 +50,6 @@ struct whisper_params {
|
||||
bool tinydiarize = false;
|
||||
bool save_audio = false; // save audio to wav file
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
|
||||
std::string language = "en";
|
||||
std::string model = "models/ggml-base.en.bin";
|
||||
@ -61,6 +75,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-nf" || arg == "--no-fallback") { params.no_fallback = true; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
@ -71,7 +86,6 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-tdrz" || arg == "--tinydiarize") { params.tinydiarize = true; }
|
||||
else if (arg == "-sa" || arg == "--save-audio") { params.save_audio = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
@ -98,6 +112,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
|
||||
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
|
||||
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
|
||||
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
|
||||
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
|
||||
@ -108,7 +123,6 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -tdrz, --tinydiarize [%-7s] enable tinydiarize (requires a tdrz model)\n", params.tinydiarize ? "true" : "false");
|
||||
fprintf(stderr, " -sa, --save-audio [%-7s] save the recorded audio to a file\n", params.save_audio ? "true" : "false");
|
||||
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU inference\n", params.use_gpu ? "false" : "true");
|
||||
fprintf(stderr, " -fa, --flash-attn [%-7s] flash attention during inference\n", params.flash_attn ? "true" : "false");
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
|
||||
@ -153,9 +167,7 @@ int main(int argc, char ** argv) {
|
||||
}
|
||||
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
|
||||
@ -311,6 +323,7 @@ int main(int argc, char ** argv) {
|
||||
wparams.n_threads = params.n_threads;
|
||||
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
wparams.speed_up = params.speed_up;
|
||||
|
||||
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
|
||||
|
||||
@ -359,7 +372,7 @@ int main(int argc, char ** argv) {
|
||||
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
||||
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
||||
|
||||
std::string output = "[" + to_timestamp(t0, false) + " --> " + to_timestamp(t1, false) + "] " + text;
|
||||
std::string output = "[" + to_timestamp(t0) + " --> " + to_timestamp(t1) + "] " + text;
|
||||
|
||||
if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
|
||||
output += " [SPEAKER_TURN]";
|
||||
|
@ -1,9 +0,0 @@
|
||||
# MIT license
|
||||
# Copyright (C) 2024 Intel Corporation
|
||||
# SPDX-License-Identifier: MIT
|
||||
|
||||
set(TARGET ls-sycl-device)
|
||||
add_executable(${TARGET} ls-sycl-device.cpp)
|
||||
install(TARGETS ${TARGET} RUNTIME)
|
||||
target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
|
||||
target_compile_features(${TARGET} PRIVATE cxx_std_17)
|
@ -1,47 +0,0 @@
|
||||
# llama.cpp/example/sycl
|
||||
|
||||
This example program provide the tools for llama.cpp for SYCL on Intel GPU.
|
||||
|
||||
## Tool
|
||||
|
||||
|Tool Name| Function|Status|
|
||||
|-|-|-|
|
||||
|ls-sycl-device| List all SYCL devices with ID, compute capability, max work group size, ect.|Support|
|
||||
|
||||
### ls-sycl-device
|
||||
|
||||
List all SYCL devices with ID, compute capability, max work group size, ect.
|
||||
|
||||
1. Build the llama.cpp for SYCL for all targets.
|
||||
|
||||
2. Enable oneAPI running environment
|
||||
|
||||
```
|
||||
source /opt/intel/oneapi/setvars.sh
|
||||
```
|
||||
|
||||
3. Execute
|
||||
|
||||
```
|
||||
./build/bin/ls-sycl-device
|
||||
```
|
||||
|
||||
Check the ID in startup log, like:
|
||||
|
||||
```
|
||||
found 4 SYCL devices:
|
||||
Device 0: Intel(R) Arc(TM) A770 Graphics, compute capability 1.3,
|
||||
max compute_units 512, max work group size 1024, max sub group size 32, global mem size 16225243136
|
||||
Device 1: Intel(R) FPGA Emulation Device, compute capability 1.2,
|
||||
max compute_units 24, max work group size 67108864, max sub group size 64, global mem size 67065057280
|
||||
Device 2: 13th Gen Intel(R) Core(TM) i7-13700K, compute capability 3.0,
|
||||
max compute_units 24, max work group size 8192, max sub group size 64, global mem size 67065057280
|
||||
Device 3: Intel(R) Arc(TM) A770 Graphics, compute capability 3.0,
|
||||
max compute_units 512, max work group size 1024, max sub group size 32, global mem size 16225243136
|
||||
|
||||
```
|
||||
|
||||
|Attribute|Note|
|
||||
|-|-|
|
||||
|compute capability 1.3|Level-zero running time, recommended |
|
||||
|compute capability 3.0|OpenCL running time, slower than level-zero in most cases|
|
@ -1,19 +0,0 @@
|
||||
# MIT license
|
||||
# Copyright (C) 2024 Intel Corporation
|
||||
# SPDX-License-Identifier: MIT
|
||||
|
||||
mkdir -p build
|
||||
cd build
|
||||
source /opt/intel/oneapi/setvars.sh
|
||||
|
||||
#for FP16
|
||||
#cmake .. -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DWHISPER_SYCL_F16=ON # faster for long-prompt inference
|
||||
|
||||
#for FP32
|
||||
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
|
@ -1,11 +0,0 @@
|
||||
/*MIT license
|
||||
Copyright (C) 2024 Intel Corporation
|
||||
SPDX-License-Identifier: MIT
|
||||
*/
|
||||
|
||||
#include "ggml-sycl.h"
|
||||
|
||||
int main(int argc, char ** argv) {
|
||||
ggml_backend_sycl_print_sycl_devices();
|
||||
return 0;
|
||||
}
|
@ -1,17 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# MIT license
|
||||
# Copyright (C) 2024 Intel Corporation
|
||||
# SPDX-License-Identifier: MIT
|
||||
|
||||
INPUT2="Building a website can be done in 10 simple steps:\nStep 1:"
|
||||
source /opt/intel/oneapi/setvars.sh
|
||||
|
||||
if [ $# -gt 0 ]; then
|
||||
export GGML_SYCL_DEVICE=$1
|
||||
else
|
||||
export GGML_SYCL_DEVICE=0
|
||||
fi
|
||||
echo GGML_SYCL_DEVICE=$GGML_SYCL_DEVICE
|
||||
#export GGML_SYCL_DEBUG=1
|
||||
./build/bin/main -m models/ggml-base.en.bin -f samples/jfk.wav
|
1
examples/talk-llama/.gitignore
vendored
1
examples/talk-llama/.gitignore
vendored
@ -1,2 +1 @@
|
||||
audio.mp3
|
||||
to_speak.txt
|
||||
|
@ -1,7 +1,7 @@
|
||||
if (WHISPER_SDL2)
|
||||
# talk-llama
|
||||
set(TARGET talk-llama)
|
||||
add_executable(${TARGET} talk-llama.cpp llama.cpp unicode.cpp unicode-data.cpp)
|
||||
add_executable(${TARGET} talk-llama.cpp llama.cpp)
|
||||
target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS})
|
||||
|
||||
if (WHISPER_CLBLAST)
|
||||
|
@ -15,13 +15,9 @@ https://github.com/ggerganov/whisper.cpp/assets/1991296/d97a3788-bf2a-4756-9a43-
|
||||
The `talk-llama` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
|
||||
|
||||
```bash
|
||||
# Install SDL2
|
||||
# On Debian based linux distributions:
|
||||
# Install SDL2 on Linux
|
||||
sudo apt-get install libsdl2-dev
|
||||
|
||||
# On Fedora Linux:
|
||||
sudo dnf install SDL2 SDL2-devel
|
||||
|
||||
# Install SDL2 on Mac OS
|
||||
brew install sdl2
|
||||
|
||||
|
@ -1,80 +1,20 @@
|
||||
import sys
|
||||
import argparse
|
||||
import textwrap
|
||||
import importlib.util
|
||||
|
||||
parser = argparse.ArgumentParser(add_help=False,
|
||||
formatter_class=argparse.RawTextHelpFormatter)
|
||||
parser.add_argument("-q", "--quick", action="store_true",
|
||||
help="skip checking the required library")
|
||||
|
||||
modes = parser.add_argument_group("action")
|
||||
modes.add_argument("inputfile", metavar="TEXTFILE",
|
||||
nargs='?', type=argparse.FileType(), default=sys.stdin,
|
||||
help="read the text file (default: stdin)")
|
||||
modes.add_argument("-l", "--list", action="store_true",
|
||||
help="show the list of voices and exit")
|
||||
modes.add_argument("-h", "--help", action="help",
|
||||
help="show this help and exit")
|
||||
|
||||
selopts = parser.add_argument_group("voice selection")
|
||||
selmodes = selopts.add_mutually_exclusive_group()
|
||||
selmodes.add_argument("-n", "--name",
|
||||
default="Arnold",
|
||||
help="get a voice object by name (default: Arnold)")
|
||||
selmodes.add_argument("-v", "--voice", type=int, metavar="NUMBER",
|
||||
help="get a voice object by number (see --list)")
|
||||
selopts.add_argument("-f", "--filter", action="append", metavar="KEY=VAL",
|
||||
default=["use case=narration"],
|
||||
help=textwrap.dedent('''\
|
||||
filter voices by labels (default: "use case=narration")
|
||||
this option can be used multiple times
|
||||
filtering will be disabled if the first -f has no "=" (e.g. -f "any")
|
||||
'''))
|
||||
|
||||
outmodes = parser.add_argument_group("output")
|
||||
outgroup = outmodes.add_mutually_exclusive_group()
|
||||
outgroup.add_argument("-s", "--save", metavar="FILE",
|
||||
default="audio.mp3",
|
||||
help="save the TTS to a file (default: audio.mp3)")
|
||||
outgroup.add_argument("-p", "--play", action="store_true",
|
||||
help="play the TTS with ffplay")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if not args.quick:
|
||||
import importlib.util
|
||||
if importlib.util.find_spec("elevenlabs") is None:
|
||||
print("elevenlabs library is not installed, you can install it to your enviroment using 'pip install elevenlabs'")
|
||||
sys.exit()
|
||||
|
||||
from elevenlabs import voices, generate, play, save
|
||||
|
||||
if args.filter and "=" in args.filter[0]:
|
||||
voicelist = voices()
|
||||
for f in args.filter:
|
||||
label, value = f.split("=")
|
||||
voicelist = filter(lambda x: x.labels.get(label) == value, voicelist)
|
||||
voicelist = list(voicelist)
|
||||
else:
|
||||
voicelist = list(voices())
|
||||
|
||||
if args.list:
|
||||
for i, v in enumerate(voicelist):
|
||||
print(str(i) + ": " + v.name + " " + str(v.labels))
|
||||
if importlib.util.find_spec("elevenlabs") is None:
|
||||
print("elevenlabs library is not installed, you can install it to your enviroment using 'pip install elevenlabs'")
|
||||
sys.exit()
|
||||
|
||||
if args.voice:
|
||||
voice = voicelist[args.voice % len(voicelist)]
|
||||
else:
|
||||
voice = args.name
|
||||
# if -n should consult -f, use the following
|
||||
#voice = next(x for x in voicelist if x.name == args.name)
|
||||
from elevenlabs import generate, play, save
|
||||
|
||||
# Get a Voice object, by name or UUID
|
||||
voice = "Arnold" #Possible Voices: Adam Antoni Arnold Bella Domi Elli Josh
|
||||
|
||||
# Generate the TTS
|
||||
audio = generate(
|
||||
text=str(args.inputfile.read()),
|
||||
voice=voice
|
||||
text=str(sys.argv[2:]),
|
||||
voice=voice
|
||||
)
|
||||
if args.play:
|
||||
play(audio)
|
||||
else:
|
||||
save(audio, args.save)
|
||||
|
||||
# Save the TTS to a file
|
||||
save(audio, "audio.mp3")
|
||||
|
File diff suppressed because it is too large
Load Diff
@ -37,13 +37,9 @@
|
||||
|
||||
#define LLAMA_FILE_MAGIC_GGLA 0x67676c61u // 'ggla'
|
||||
#define LLAMA_FILE_MAGIC_GGSN 0x6767736eu // 'ggsn'
|
||||
#define LLAMA_FILE_MAGIC_GGSQ 0x67677371u // 'ggsq'
|
||||
|
||||
#define LLAMA_SESSION_MAGIC LLAMA_FILE_MAGIC_GGSN
|
||||
#define LLAMA_SESSION_VERSION 6
|
||||
|
||||
#define LLAMA_STATE_SEQ_MAGIC LLAMA_FILE_MAGIC_GGSQ
|
||||
#define LLAMA_STATE_SEQ_VERSION 1
|
||||
#define LLAMA_SESSION_VERSION 4
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
@ -63,36 +59,9 @@ extern "C" {
|
||||
typedef int32_t llama_seq_id;
|
||||
|
||||
enum llama_vocab_type {
|
||||
LLAMA_VOCAB_TYPE_NONE = 0, // For models without vocab
|
||||
LLAMA_VOCAB_TYPE_SPM = 1, // LLaMA tokenizer based on byte-level BPE with byte fallback
|
||||
LLAMA_VOCAB_TYPE_BPE = 2, // GPT-2 tokenizer based on byte-level BPE
|
||||
LLAMA_VOCAB_TYPE_WPM = 3, // BERT tokenizer based on WordPiece
|
||||
};
|
||||
|
||||
// pre-tokenization types
|
||||
enum llama_vocab_pre_type {
|
||||
LLAMA_VOCAB_PRE_TYPE_DEFAULT = 0,
|
||||
LLAMA_VOCAB_PRE_TYPE_LLAMA3 = 1,
|
||||
LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_LLM = 2,
|
||||
LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER = 3,
|
||||
LLAMA_VOCAB_PRE_TYPE_FALCON = 4,
|
||||
LLAMA_VOCAB_PRE_TYPE_MPT = 5,
|
||||
LLAMA_VOCAB_PRE_TYPE_STARCODER = 6,
|
||||
LLAMA_VOCAB_PRE_TYPE_GPT2 = 7,
|
||||
LLAMA_VOCAB_PRE_TYPE_REFACT = 8,
|
||||
LLAMA_VOCAB_PRE_TYPE_COMMAND_R = 9,
|
||||
LLAMA_VOCAB_PRE_TYPE_QWEN2 = 10,
|
||||
LLAMA_VOCAB_PRE_TYPE_OLMO = 11,
|
||||
LLAMA_VOCAB_PRE_TYPE_DBRX = 12,
|
||||
};
|
||||
|
||||
// note: these values should be synchronized with ggml_rope
|
||||
// TODO: maybe move this enum to ggml.h (ggml_rope_type)
|
||||
enum llama_rope_type {
|
||||
LLAMA_ROPE_TYPE_NONE = -1,
|
||||
LLAMA_ROPE_TYPE_NORM = 0,
|
||||
LLAMA_ROPE_TYPE_NEOX = 2,
|
||||
LLAMA_ROPE_TYPE_GLM = 4,
|
||||
LLAMA_VOCAB_TYPE_SPM = 0, // SentencePiece
|
||||
LLAMA_VOCAB_TYPE_BPE = 1, // Byte Pair Encoding
|
||||
LLAMA_VOCAB_TYPE_WPM = 2, // WordPiece
|
||||
};
|
||||
|
||||
enum llama_token_type {
|
||||
@ -129,40 +98,24 @@ extern "C" {
|
||||
LLAMA_FTYPE_MOSTLY_IQ2_XXS = 19, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ2_XS = 20, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_Q2_K_S = 21, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ3_XS = 22, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_Q3_K_XS = 22, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ3_XXS = 23, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ1_S = 24, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ4_NL = 25, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ3_S = 26, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ3_M = 27, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ2_S = 28, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ2_M = 29, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ4_XS = 30, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_IQ1_M = 31, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_BF16 = 32, // except 1d tensors
|
||||
|
||||
LLAMA_FTYPE_GUESSED = 1024, // not specified in the model file
|
||||
};
|
||||
|
||||
enum llama_rope_scaling_type {
|
||||
LLAMA_ROPE_SCALING_TYPE_UNSPECIFIED = -1,
|
||||
LLAMA_ROPE_SCALING_TYPE_NONE = 0,
|
||||
LLAMA_ROPE_SCALING_TYPE_LINEAR = 1,
|
||||
LLAMA_ROPE_SCALING_TYPE_YARN = 2,
|
||||
LLAMA_ROPE_SCALING_TYPE_MAX_VALUE = LLAMA_ROPE_SCALING_TYPE_YARN,
|
||||
};
|
||||
|
||||
enum llama_pooling_type {
|
||||
LLAMA_POOLING_TYPE_UNSPECIFIED = -1,
|
||||
LLAMA_POOLING_TYPE_NONE = 0,
|
||||
LLAMA_POOLING_TYPE_MEAN = 1,
|
||||
LLAMA_POOLING_TYPE_CLS = 2,
|
||||
LLAMA_ROPE_SCALING_UNSPECIFIED = -1,
|
||||
LLAMA_ROPE_SCALING_NONE = 0,
|
||||
LLAMA_ROPE_SCALING_LINEAR = 1,
|
||||
LLAMA_ROPE_SCALING_YARN = 2,
|
||||
LLAMA_ROPE_SCALING_MAX_VALUE = LLAMA_ROPE_SCALING_YARN,
|
||||
};
|
||||
|
||||
enum llama_split_mode {
|
||||
LLAMA_SPLIT_MODE_NONE = 0, // single GPU
|
||||
LLAMA_SPLIT_MODE_LAYER = 1, // split layers and KV across GPUs
|
||||
LLAMA_SPLIT_MODE_ROW = 2, // split rows across GPUs
|
||||
LLAMA_SPLIT_NONE = 0, // single GPU
|
||||
LLAMA_SPLIT_LAYER = 1, // split layers and KV across GPUs
|
||||
LLAMA_SPLIT_ROW = 2, // split rows across GPUs
|
||||
};
|
||||
|
||||
typedef struct llama_token_data {
|
||||
@ -177,7 +130,7 @@ extern "C" {
|
||||
bool sorted;
|
||||
} llama_token_data_array;
|
||||
|
||||
typedef bool (*llama_progress_callback)(float progress, void * user_data);
|
||||
typedef bool (*llama_progress_callback)(float progress, void *ctx);
|
||||
|
||||
// Input data for llama_decode
|
||||
// A llama_batch object can contain input about one or many sequences
|
||||
@ -187,7 +140,7 @@ extern "C" {
|
||||
// - embd : token embeddings (i.e. float vector of size n_embd) (used when token is NULL)
|
||||
// - pos : the positions of the respective token in the sequence
|
||||
// - seq_id : the sequence to which the respective token belongs
|
||||
// - logits : if zero, the logits (and/or the embeddings) for the respective token will not be output
|
||||
// - logits : if zero, the logits for the respective token will not be output
|
||||
//
|
||||
typedef struct llama_batch {
|
||||
int32_t n_tokens;
|
||||
@ -197,7 +150,7 @@ extern "C" {
|
||||
llama_pos * pos;
|
||||
int32_t * n_seq_id;
|
||||
llama_seq_id ** seq_id;
|
||||
int8_t * logits; // TODO: rename this to "output"
|
||||
int8_t * logits;
|
||||
|
||||
// NOTE: helpers for smooth API transition - can be deprecated in the future
|
||||
// for future-proof code, use the above fields instead and ignore everything below
|
||||
@ -210,22 +163,18 @@ extern "C" {
|
||||
} llama_batch;
|
||||
|
||||
enum llama_model_kv_override_type {
|
||||
LLAMA_KV_OVERRIDE_TYPE_INT,
|
||||
LLAMA_KV_OVERRIDE_TYPE_FLOAT,
|
||||
LLAMA_KV_OVERRIDE_TYPE_BOOL,
|
||||
LLAMA_KV_OVERRIDE_TYPE_STR,
|
||||
LLAMA_KV_OVERRIDE_INT,
|
||||
LLAMA_KV_OVERRIDE_FLOAT,
|
||||
LLAMA_KV_OVERRIDE_BOOL,
|
||||
};
|
||||
|
||||
struct llama_model_kv_override {
|
||||
enum llama_model_kv_override_type tag;
|
||||
|
||||
char key[128];
|
||||
|
||||
enum llama_model_kv_override_type tag;
|
||||
union {
|
||||
int64_t val_i64;
|
||||
double val_f64;
|
||||
bool val_bool;
|
||||
char val_str[128];
|
||||
int64_t int_value;
|
||||
double float_value;
|
||||
bool bool_value;
|
||||
};
|
||||
};
|
||||
|
||||
@ -254,24 +203,18 @@ extern "C" {
|
||||
const struct llama_model_kv_override * kv_overrides;
|
||||
|
||||
// Keep the booleans together to avoid misalignment during copy-by-value.
|
||||
bool vocab_only; // only load the vocabulary, no weights
|
||||
bool use_mmap; // use mmap if possible
|
||||
bool use_mlock; // force system to keep model in RAM
|
||||
bool check_tensors; // validate model tensor data
|
||||
bool vocab_only; // only load the vocabulary, no weights
|
||||
bool use_mmap; // use mmap if possible
|
||||
bool use_mlock; // force system to keep model in RAM
|
||||
};
|
||||
|
||||
struct llama_context_params {
|
||||
uint32_t seed; // RNG seed, -1 for random
|
||||
uint32_t n_ctx; // text context, 0 = from model
|
||||
uint32_t n_batch; // logical maximum batch size that can be submitted to llama_decode
|
||||
uint32_t n_ubatch; // physical maximum batch size
|
||||
uint32_t n_seq_max; // max number of sequences (i.e. distinct states for recurrent models)
|
||||
uint32_t n_batch; // prompt processing maximum batch size
|
||||
uint32_t n_threads; // number of threads to use for generation
|
||||
uint32_t n_threads_batch; // number of threads to use for batch processing
|
||||
|
||||
enum llama_rope_scaling_type rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type`
|
||||
enum llama_pooling_type pooling_type; // whether to pool (sum) embedding results by sequence id
|
||||
// (ignored if no pooling layer)
|
||||
int32_t rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type`
|
||||
|
||||
// ref: https://github.com/ggerganov/llama.cpp/pull/2054
|
||||
float rope_freq_base; // RoPE base frequency, 0 = from model
|
||||
@ -281,7 +224,6 @@ extern "C" {
|
||||
float yarn_beta_fast; // YaRN low correction dim
|
||||
float yarn_beta_slow; // YaRN high correction dim
|
||||
uint32_t yarn_orig_ctx; // YaRN original context size
|
||||
float defrag_thold; // defragment the KV cache if holes/size > thold, < 0 disabled (default)
|
||||
|
||||
ggml_backend_sched_eval_callback cb_eval;
|
||||
void * cb_eval_user_data;
|
||||
@ -290,31 +232,21 @@ extern "C" {
|
||||
enum ggml_type type_v; // data type for V cache
|
||||
|
||||
// Keep the booleans together to avoid misalignment during copy-by-value.
|
||||
bool logits_all; // the llama_decode() call computes all logits, not just the last one (DEPRECATED - set llama_batch.logits instead)
|
||||
bool embeddings; // if true, extract embeddings (together with logits)
|
||||
bool mul_mat_q; // if true, use experimental mul_mat_q kernels (DEPRECATED - always true)
|
||||
bool logits_all; // the llama_eval() call computes all logits, not just the last one (DEPRECATED - set llama_batch.logits instead)
|
||||
bool embedding; // embedding mode only
|
||||
bool offload_kqv; // whether to offload the KQV ops (including the KV cache) to GPU
|
||||
bool flash_attn; // whether to use flash attention
|
||||
|
||||
// Abort callback
|
||||
// if it returns true, execution of llama_decode() will be aborted
|
||||
// currently works only with CPU execution
|
||||
ggml_abort_callback abort_callback;
|
||||
void * abort_callback_data;
|
||||
};
|
||||
|
||||
// model quantization parameters
|
||||
typedef struct llama_model_quantize_params {
|
||||
int32_t nthread; // number of threads to use for quantizing, if <=0 will use std::thread::hardware_concurrency()
|
||||
enum llama_ftype ftype; // quantize to this llama_ftype
|
||||
enum ggml_type output_tensor_type; // output tensor type
|
||||
enum ggml_type token_embedding_type; // itoken embeddings tensor type
|
||||
bool allow_requantize; // allow quantizing non-f32/f16 tensors
|
||||
bool quantize_output_tensor; // quantize output.weight
|
||||
bool only_copy; // only copy tensors - ftype, allow_requantize and quantize_output_tensor are ignored
|
||||
bool pure; // quantize all tensors to the default type
|
||||
bool keep_split; // quantize to the same number of shards
|
||||
void * imatrix; // pointer to importance matrix data
|
||||
void * kv_overrides; // pointer to vector containing overrides
|
||||
int32_t nthread; // number of threads to use for quantizing, if <=0 will use std::thread::hardware_concurrency()
|
||||
enum llama_ftype ftype; // quantize to this llama_ftype
|
||||
bool allow_requantize; // allow quantizing non-f32/f16 tensors
|
||||
bool quantize_output_tensor; // quantize output.weight
|
||||
bool only_copy; // only copy tensors - ftype, allow_requantize and quantize_output_tensor are ignored
|
||||
bool pure; // disable k-quant mixtures and quantize all tensors to the same type
|
||||
void * imatrix; // pointer to importance matrix data
|
||||
} llama_model_quantize_params;
|
||||
|
||||
// grammar types
|
||||
@ -365,12 +297,6 @@ extern "C" {
|
||||
int32_t n_eval;
|
||||
};
|
||||
|
||||
// used in chat template
|
||||
typedef struct llama_chat_message {
|
||||
const char * role;
|
||||
const char * content;
|
||||
} llama_chat_message;
|
||||
|
||||
// Helpers for getting default parameters
|
||||
LLAMA_API struct llama_model_params llama_model_default_params(void);
|
||||
LLAMA_API struct llama_context_params llama_context_default_params(void);
|
||||
@ -379,10 +305,7 @@ extern "C" {
|
||||
// Initialize the llama + ggml backend
|
||||
// If numa is true, use NUMA optimizations
|
||||
// Call once at the start of the program
|
||||
LLAMA_API void llama_backend_init(void);
|
||||
|
||||
//optional:
|
||||
LLAMA_API void llama_numa_init(enum ggml_numa_strategy numa);
|
||||
LLAMA_API void llama_backend_init(bool numa);
|
||||
|
||||
// Call once at the end of the program - currently only used for MPI
|
||||
LLAMA_API void llama_backend_free(void);
|
||||
@ -408,22 +331,19 @@ extern "C" {
|
||||
LLAMA_API bool llama_supports_mlock (void);
|
||||
LLAMA_API bool llama_supports_gpu_offload(void);
|
||||
|
||||
LLAMA_API DEPRECATED(bool llama_mmap_supported (void), "use llama_supports_mmap() instead");
|
||||
LLAMA_API DEPRECATED(bool llama_mlock_supported(void), "use llama_supports_mlock() instead");
|
||||
|
||||
LLAMA_API const struct llama_model * llama_get_model(const struct llama_context * ctx);
|
||||
|
||||
LLAMA_API uint32_t llama_n_ctx (const struct llama_context * ctx);
|
||||
LLAMA_API uint32_t llama_n_batch (const struct llama_context * ctx);
|
||||
LLAMA_API uint32_t llama_n_ubatch (const struct llama_context * ctx);
|
||||
LLAMA_API uint32_t llama_n_seq_max (const struct llama_context * ctx);
|
||||
|
||||
LLAMA_API enum llama_pooling_type llama_pooling_type(const struct llama_context * ctx);
|
||||
|
||||
LLAMA_API enum llama_vocab_type llama_vocab_type (const struct llama_model * model);
|
||||
LLAMA_API enum llama_rope_type llama_rope_type (const struct llama_model * model);
|
||||
LLAMA_API enum llama_vocab_type llama_vocab_type(const struct llama_model * model);
|
||||
|
||||
LLAMA_API int32_t llama_n_vocab (const struct llama_model * model);
|
||||
LLAMA_API int32_t llama_n_ctx_train(const struct llama_model * model);
|
||||
LLAMA_API int32_t llama_n_embd (const struct llama_model * model);
|
||||
LLAMA_API int32_t llama_n_layer (const struct llama_model * model);
|
||||
|
||||
// Get the model's RoPE frequency scaling factor
|
||||
LLAMA_API float llama_rope_freq_scale_train(const struct llama_model * model);
|
||||
@ -469,26 +389,20 @@ extern "C" {
|
||||
// The model needs to be reloaded before applying a new adapter, otherwise the adapter
|
||||
// will be applied on top of the previous one
|
||||
// Returns 0 on success
|
||||
LLAMA_API DEPRECATED(int32_t llama_apply_lora_from_file(
|
||||
struct llama_context * ctx,
|
||||
const char * path_lora,
|
||||
float scale,
|
||||
const char * path_base_model,
|
||||
int32_t n_threads),
|
||||
"use llama_model_apply_lora_from_file instead");
|
||||
|
||||
LLAMA_API int32_t llama_model_apply_lora_from_file(
|
||||
const struct llama_model * model,
|
||||
const char * path_lora,
|
||||
float scale,
|
||||
const char * path_base_model,
|
||||
int32_t n_threads);
|
||||
|
||||
// Apply a loaded control vector to a llama_context, or if data is NULL, clear
|
||||
// the currently loaded vector.
|
||||
// n_embd should be the size of a single layer's control, and data should point
|
||||
// to an n_embd x n_layers buffer starting from layer 1.
|
||||
// il_start and il_end are the layer range the vector should apply to (both inclusive)
|
||||
// See llama_control_vector_load in common to load a control vector.
|
||||
LLAMA_API int32_t llama_control_vector_apply(
|
||||
struct llama_context * lctx,
|
||||
const float * data,
|
||||
size_t len,
|
||||
int32_t n_embd,
|
||||
int32_t il_start,
|
||||
int32_t il_end);
|
||||
const char * path_lora,
|
||||
float scale,
|
||||
const char * path_base_model,
|
||||
int32_t n_threads);
|
||||
|
||||
//
|
||||
// KV cache
|
||||
@ -509,7 +423,7 @@ extern "C" {
|
||||
// Maximum number of sequences that can exist in a cell. It's not an error
|
||||
// if there are more sequences in a cell than this value, however they will
|
||||
// not be visible in the view cells_sequences.
|
||||
int32_t n_seq_max;
|
||||
int32_t n_max_seq;
|
||||
|
||||
// Number of tokens in the cache. For example, if there are two populated
|
||||
// cells, the first with 1 sequence id in it and the second with 2 sequence
|
||||
@ -529,12 +443,12 @@ extern "C" {
|
||||
// Information for an individual cell.
|
||||
struct llama_kv_cache_view_cell * cells;
|
||||
|
||||
// The sequences for each cell. There will be n_seq_max items per cell.
|
||||
// The sequences for each cell. There will be n_max_seq items per cell.
|
||||
llama_seq_id * cells_sequences;
|
||||
};
|
||||
|
||||
// Create an empty KV cache view. (use only for debugging purposes)
|
||||
LLAMA_API struct llama_kv_cache_view llama_kv_cache_view_init(const struct llama_context * ctx, int32_t n_seq_max);
|
||||
LLAMA_API struct llama_kv_cache_view llama_kv_cache_view_init(const struct llama_context * ctx, int32_t n_max_seq);
|
||||
|
||||
// Free a KV cache view. (use only for debugging purposes)
|
||||
LLAMA_API void llama_kv_cache_view_free(struct llama_kv_cache_view * view);
|
||||
@ -549,16 +463,15 @@ extern "C" {
|
||||
// Returns the number of used KV cells (i.e. have at least one sequence assigned to them)
|
||||
LLAMA_API int32_t llama_get_kv_cache_used_cells(const struct llama_context * ctx);
|
||||
|
||||
// Clear the KV cache - both cell info is erased and KV data is zeroed
|
||||
// Clear the KV cache
|
||||
LLAMA_API void llama_kv_cache_clear(
|
||||
struct llama_context * ctx);
|
||||
|
||||
// Removes all tokens that belong to the specified sequence and have positions in [p0, p1)
|
||||
// Returns false if a partial sequence cannot be removed. Removing a whole sequence never fails
|
||||
// seq_id < 0 : match any sequence
|
||||
// p0 < 0 : [0, p1]
|
||||
// p1 < 0 : [p0, inf)
|
||||
LLAMA_API bool llama_kv_cache_seq_rm(
|
||||
LLAMA_API void llama_kv_cache_seq_rm(
|
||||
struct llama_context * ctx,
|
||||
llama_seq_id seq_id,
|
||||
llama_pos p0,
|
||||
@ -581,12 +494,10 @@ extern "C" {
|
||||
llama_seq_id seq_id);
|
||||
|
||||
// Adds relative position "delta" to all tokens that belong to the specified sequence and have positions in [p0, p1)
|
||||
// If the KV cache is RoPEd, the KV data is updated accordingly:
|
||||
// - lazily on next llama_decode()
|
||||
// - explicitly with llama_kv_cache_update()
|
||||
// If the KV cache is RoPEd, the KV data is updated accordingly
|
||||
// p0 < 0 : [0, p1]
|
||||
// p1 < 0 : [p0, inf)
|
||||
LLAMA_API void llama_kv_cache_seq_add(
|
||||
LLAMA_API void llama_kv_cache_seq_shift(
|
||||
struct llama_context * ctx,
|
||||
llama_seq_id seq_id,
|
||||
llama_pos p0,
|
||||
@ -594,9 +505,7 @@ extern "C" {
|
||||
llama_pos delta);
|
||||
|
||||
// Integer division of the positions by factor of `d > 1`
|
||||
// If the KV cache is RoPEd, the KV data is updated accordingly:
|
||||
// - lazily on next llama_decode()
|
||||
// - explicitly with llama_kv_cache_update()
|
||||
// If the KV cache is RoPEd, the KV data is updated accordingly
|
||||
// p0 < 0 : [0, p1]
|
||||
// p1 < 0 : [p0, inf)
|
||||
LLAMA_API void llama_kv_cache_seq_div(
|
||||
@ -606,117 +515,66 @@ extern "C" {
|
||||
llama_pos p1,
|
||||
int d);
|
||||
|
||||
// Returns the largest position present in the KV cache for the specified sequence
|
||||
LLAMA_API llama_pos llama_kv_cache_seq_pos_max(
|
||||
struct llama_context * ctx,
|
||||
llama_seq_id seq_id);
|
||||
|
||||
// Defragment the KV cache
|
||||
// This will be applied:
|
||||
// - lazily on next llama_decode()
|
||||
// - explicitly with llama_kv_cache_update()
|
||||
LLAMA_API void llama_kv_cache_defrag(struct llama_context * ctx);
|
||||
|
||||
// Apply the KV cache updates (such as K-shifts, defragmentation, etc.)
|
||||
LLAMA_API void llama_kv_cache_update(struct llama_context * ctx);
|
||||
|
||||
//
|
||||
// State / sessions
|
||||
//
|
||||
|
||||
// Returns the maximum size in bytes of the state (rng, logits, embedding
|
||||
// and kv_cache) - will often be smaller after compacting tokens
|
||||
LLAMA_API size_t llama_state_get_size(const struct llama_context * ctx);
|
||||
LLAMA_API DEPRECATED(size_t llama_get_state_size(const struct llama_context * ctx),
|
||||
"use llama_state_get_size instead");
|
||||
LLAMA_API size_t llama_get_state_size(const struct llama_context * ctx);
|
||||
|
||||
// Copies the state to the specified destination address.
|
||||
// Destination needs to have allocated enough memory.
|
||||
// Returns the number of bytes copied
|
||||
LLAMA_API size_t llama_state_get_data(
|
||||
LLAMA_API size_t llama_copy_state_data(
|
||||
struct llama_context * ctx,
|
||||
uint8_t * dst);
|
||||
LLAMA_API DEPRECATED(size_t llama_copy_state_data(
|
||||
struct llama_context * ctx,
|
||||
uint8_t * dst),
|
||||
"use llama_state_get_data instead");
|
||||
|
||||
// Set the state reading from the specified address
|
||||
// Returns the number of bytes read
|
||||
LLAMA_API size_t llama_state_set_data(
|
||||
LLAMA_API size_t llama_set_state_data(
|
||||
struct llama_context * ctx,
|
||||
const uint8_t * src);
|
||||
LLAMA_API DEPRECATED(size_t llama_set_state_data(
|
||||
struct llama_context * ctx,
|
||||
const uint8_t * src),
|
||||
"use llama_state_set_data instead");
|
||||
uint8_t * src);
|
||||
|
||||
// Save/load session file
|
||||
LLAMA_API bool llama_state_load_file(
|
||||
LLAMA_API bool llama_load_session_file(
|
||||
struct llama_context * ctx,
|
||||
const char * path_session,
|
||||
llama_token * tokens_out,
|
||||
size_t n_token_capacity,
|
||||
size_t * n_token_count_out);
|
||||
LLAMA_API DEPRECATED(bool llama_load_session_file(
|
||||
struct llama_context * ctx,
|
||||
const char * path_session,
|
||||
llama_token * tokens_out,
|
||||
size_t n_token_capacity,
|
||||
size_t * n_token_count_out),
|
||||
"use llama_state_load_file instead");
|
||||
|
||||
LLAMA_API bool llama_state_save_file(
|
||||
LLAMA_API bool llama_save_session_file(
|
||||
struct llama_context * ctx,
|
||||
const char * path_session,
|
||||
const llama_token * tokens,
|
||||
size_t n_token_count);
|
||||
LLAMA_API DEPRECATED(bool llama_save_session_file(
|
||||
struct llama_context * ctx,
|
||||
const char * path_session,
|
||||
const llama_token * tokens,
|
||||
size_t n_token_count),
|
||||
"use llama_state_save_file instead");
|
||||
|
||||
// Get the exact size needed to copy the KV cache of a single sequence
|
||||
LLAMA_API size_t llama_state_seq_get_size(
|
||||
struct llama_context * ctx,
|
||||
llama_seq_id seq_id);
|
||||
|
||||
// Copy the KV cache of a single sequence into the specified buffer
|
||||
LLAMA_API size_t llama_state_seq_get_data(
|
||||
struct llama_context * ctx,
|
||||
uint8_t * dst,
|
||||
llama_seq_id seq_id);
|
||||
|
||||
// Copy the sequence data (originally copied with `llama_state_seq_get_data`) into the specified sequence
|
||||
// Returns:
|
||||
// - Positive: Ok
|
||||
// - Zero: Failed to load
|
||||
LLAMA_API size_t llama_state_seq_set_data(
|
||||
struct llama_context * ctx,
|
||||
const uint8_t * src,
|
||||
llama_seq_id dest_seq_id);
|
||||
|
||||
LLAMA_API size_t llama_state_seq_save_file(
|
||||
struct llama_context * ctx,
|
||||
const char * filepath,
|
||||
llama_seq_id seq_id,
|
||||
const llama_token * tokens,
|
||||
size_t n_token_count);
|
||||
|
||||
LLAMA_API size_t llama_state_seq_load_file(
|
||||
struct llama_context * ctx,
|
||||
const char * filepath,
|
||||
llama_seq_id dest_seq_id,
|
||||
llama_token * tokens_out,
|
||||
size_t n_token_capacity,
|
||||
size_t * n_token_count_out);
|
||||
|
||||
//
|
||||
// Decoding
|
||||
//
|
||||
|
||||
// Run the llama inference to obtain the logits and probabilities for the next token(s).
|
||||
// tokens + n_tokens is the provided batch of new tokens to process
|
||||
// n_past is the number of tokens to use from previous eval calls
|
||||
// Returns 0 on success
|
||||
// DEPRECATED: use llama_decode() instead
|
||||
LLAMA_API DEPRECATED(int llama_eval(
|
||||
struct llama_context * ctx,
|
||||
llama_token * tokens,
|
||||
int32_t n_tokens,
|
||||
int32_t n_past),
|
||||
"use llama_decode() instead");
|
||||
|
||||
// Same as llama_eval, but use float matrix input directly.
|
||||
// DEPRECATED: use llama_decode() instead
|
||||
LLAMA_API DEPRECATED(int llama_eval_embd(
|
||||
struct llama_context * ctx,
|
||||
float * embd,
|
||||
int32_t n_tokens,
|
||||
int32_t n_past),
|
||||
"use llama_decode() instead");
|
||||
|
||||
// Return batch for single sequence of tokens starting at pos_0
|
||||
//
|
||||
// NOTE: this is a helper function to facilitate transition to the new batch API - avoid using it
|
||||
@ -755,51 +613,21 @@ extern "C" {
|
||||
// n_threads_batch is the number of threads used for prompt and batch processing (multiple tokens)
|
||||
LLAMA_API void llama_set_n_threads(struct llama_context * ctx, uint32_t n_threads, uint32_t n_threads_batch);
|
||||
|
||||
// Set whether to use causal attention or not
|
||||
// If set to true, the model will only attend to the past tokens
|
||||
LLAMA_API void llama_set_causal_attn(struct llama_context * ctx, bool causal_attn);
|
||||
|
||||
// Set abort callback
|
||||
LLAMA_API void llama_set_abort_callback(struct llama_context * ctx, ggml_abort_callback abort_callback, void * abort_callback_data);
|
||||
|
||||
// Wait until all computations are finished
|
||||
// This is automatically done when using one of the functions below to obtain the computation results
|
||||
// and is not necessary to call it explicitly in most cases
|
||||
LLAMA_API void llama_synchronize(struct llama_context * ctx);
|
||||
|
||||
// Token logits obtained from the last call to llama_decode()
|
||||
// The logits for which llama_batch.logits[i] != 0 are stored contiguously
|
||||
// in the order they have appeared in the batch.
|
||||
// Rows: number of tokens for which llama_batch.logits[i] != 0
|
||||
// Token logits obtained from the last call to llama_eval()
|
||||
// The logits for the last token are stored in the last row
|
||||
// Logits for which llama_batch.logits[i] == 0 are undefined
|
||||
// Rows: n_tokens provided with llama_batch
|
||||
// Cols: n_vocab
|
||||
LLAMA_API float * llama_get_logits(struct llama_context * ctx);
|
||||
|
||||
// Logits for the ith token. For positive indices, Equivalent to:
|
||||
// llama_get_logits(ctx) + ctx->output_ids[i]*n_vocab
|
||||
// Negative indicies can be used to access logits in reverse order, -1 is the last logit.
|
||||
// returns NULL for invalid ids.
|
||||
// Logits for the ith token. Equivalent to:
|
||||
// llama_get_logits(ctx) + i*n_vocab
|
||||
LLAMA_API float * llama_get_logits_ith(struct llama_context * ctx, int32_t i);
|
||||
|
||||
// Get all output token embeddings.
|
||||
// when pooling_type == LLAMA_POOLING_TYPE_NONE or when using a generative model,
|
||||
// the embeddings for which llama_batch.logits[i] != 0 are stored contiguously
|
||||
// in the order they have appeared in the batch.
|
||||
// shape: [n_outputs*n_embd]
|
||||
// Otherwise, returns NULL.
|
||||
// Get the embeddings for the input
|
||||
// shape: [n_embd] (1-dimensional)
|
||||
LLAMA_API float * llama_get_embeddings(struct llama_context * ctx);
|
||||
|
||||
// Get the embeddings for the ith token. For positive indices, Equivalent to:
|
||||
// llama_get_embeddings(ctx) + ctx->output_ids[i]*n_embd
|
||||
// Negative indicies can be used to access embeddings in reverse order, -1 is the last embedding.
|
||||
// shape: [n_embd] (1-dimensional)
|
||||
// returns NULL for invalid ids.
|
||||
LLAMA_API float * llama_get_embeddings_ith(struct llama_context * ctx, int32_t i);
|
||||
|
||||
// Get the embeddings for a sequence id
|
||||
// Returns NULL if pooling_type is LLAMA_POOLING_TYPE_NONE
|
||||
// shape: [n_embd] (1-dimensional)
|
||||
LLAMA_API float * llama_get_embeddings_seq(struct llama_context * ctx, llama_seq_id seq_id);
|
||||
|
||||
//
|
||||
// Vocab
|
||||
//
|
||||
@ -810,14 +638,9 @@ extern "C" {
|
||||
|
||||
LLAMA_API enum llama_token_type llama_token_get_type(const struct llama_model * model, llama_token token);
|
||||
|
||||
// Check if the token is supposed to end generation (end-of-generation, eg. EOS, EOT, etc.)
|
||||
LLAMA_API bool llama_token_is_eog(const struct llama_model * model, llama_token token);
|
||||
|
||||
// Special tokens
|
||||
LLAMA_API llama_token llama_token_bos(const struct llama_model * model); // beginning-of-sentence
|
||||
LLAMA_API llama_token llama_token_eos(const struct llama_model * model); // end-of-sentence
|
||||
LLAMA_API llama_token llama_token_cls(const struct llama_model * model); // classification
|
||||
LLAMA_API llama_token llama_token_sep(const struct llama_model * model); // sentence separator
|
||||
LLAMA_API llama_token llama_token_nl (const struct llama_model * model); // next-line
|
||||
|
||||
// Returns -1 if unknown, 1 for true or 0 for false.
|
||||
@ -826,7 +649,7 @@ extern "C" {
|
||||
// Returns -1 if unknown, 1 for true or 0 for false.
|
||||
LLAMA_API int32_t llama_add_eos_token(const struct llama_model * model);
|
||||
|
||||
// Codellama infill tokens
|
||||
// codellama infill tokens
|
||||
LLAMA_API llama_token llama_token_prefix(const struct llama_model * model); // Beginning of infill prefix
|
||||
LLAMA_API llama_token llama_token_middle(const struct llama_model * model); // Beginning of infill middle
|
||||
LLAMA_API llama_token llama_token_suffix(const struct llama_model * model); // Beginning of infill suffix
|
||||
@ -838,48 +661,27 @@ extern "C" {
|
||||
|
||||
/// @details Convert the provided text into tokens.
|
||||
/// @param tokens The tokens pointer must be large enough to hold the resulting tokens.
|
||||
/// @return Returns the number of tokens on success, no more than n_tokens_max
|
||||
/// @return Returns the number of tokens on success, no more than n_max_tokens
|
||||
/// @return Returns a negative number on failure - the number of tokens that would have been returned
|
||||
/// @param parse_special Allow tokenizing special and/or control tokens which otherwise are not exposed and treated
|
||||
/// as plaintext. Does not insert a leading space.
|
||||
/// @param special Allow tokenizing special and/or control tokens which otherwise are not exposed and treated as plaintext.
|
||||
/// Does not insert a leading space.
|
||||
LLAMA_API int32_t llama_tokenize(
|
||||
const struct llama_model * model,
|
||||
const char * text,
|
||||
int32_t text_len,
|
||||
llama_token * tokens,
|
||||
int32_t n_tokens_max,
|
||||
bool add_special,
|
||||
bool parse_special);
|
||||
int32_t n_max_tokens,
|
||||
bool add_bos,
|
||||
bool special);
|
||||
|
||||
// Token Id -> Piece.
|
||||
// Uses the vocabulary in the provided context.
|
||||
// Does not write null terminator to the buffer.
|
||||
// User code is responsible to remove the leading whitespace of the first non-BOS token when decoding multiple tokens.
|
||||
// @param special If true, special tokens are rendered in the output.
|
||||
LLAMA_API int32_t llama_token_to_piece(
|
||||
const struct llama_model * model,
|
||||
llama_token token,
|
||||
char * buf,
|
||||
int32_t length,
|
||||
bool special);
|
||||
|
||||
/// Apply chat template. Inspired by hf apply_chat_template() on python.
|
||||
/// Both "model" and "custom_template" are optional, but at least one is required. "custom_template" has higher precedence than "model"
|
||||
/// NOTE: This function does not use a jinja parser. It only support a pre-defined list of template. See more: https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template
|
||||
/// @param tmpl A Jinja template to use for this chat. If this is nullptr, the model’s default chat template will be used instead.
|
||||
/// @param chat Pointer to a list of multiple llama_chat_message
|
||||
/// @param n_msg Number of llama_chat_message in this chat
|
||||
/// @param add_ass Whether to end the prompt with the token(s) that indicate the start of an assistant message.
|
||||
/// @param buf A buffer to hold the output formatted prompt. The recommended alloc size is 2 * (total number of characters of all messages)
|
||||
/// @param length The size of the allocated buffer
|
||||
/// @return The total number of bytes of the formatted prompt. If is it larger than the size of buffer, you may need to re-alloc it and then re-apply the template.
|
||||
LLAMA_API int32_t llama_chat_apply_template(
|
||||
const struct llama_model * model,
|
||||
const char * tmpl,
|
||||
const struct llama_chat_message * chat,
|
||||
size_t n_msg,
|
||||
bool add_ass,
|
||||
char * buf,
|
||||
int32_t length);
|
||||
|
||||
//
|
||||
@ -923,6 +725,13 @@ extern "C" {
|
||||
float * logits_guidance,
|
||||
float scale);
|
||||
|
||||
LLAMA_API DEPRECATED(void llama_sample_classifier_free_guidance(
|
||||
struct llama_context * ctx,
|
||||
llama_token_data_array * candidates,
|
||||
struct llama_context * guidance_ctx,
|
||||
float scale),
|
||||
"use llama_sample_apply_guidance() instead");
|
||||
|
||||
/// @details Sorts candidate tokens by their logits in descending order and calculate probabilities based on logits.
|
||||
LLAMA_API void llama_sample_softmax(
|
||||
struct llama_context * ctx,
|
||||
@ -976,6 +785,12 @@ extern "C" {
|
||||
llama_token_data_array * candidates,
|
||||
float temp);
|
||||
|
||||
LLAMA_API DEPRECATED(void llama_sample_temperature(
|
||||
struct llama_context * ctx,
|
||||
llama_token_data_array * candidates,
|
||||
float temp),
|
||||
"use llama_sample_temp instead");
|
||||
|
||||
/// @details Apply constraints from grammar
|
||||
LLAMA_API void llama_sample_grammar(
|
||||
struct llama_context * ctx,
|
||||
@ -1014,7 +829,7 @@ extern "C" {
|
||||
struct llama_context * ctx,
|
||||
llama_token_data_array * candidates);
|
||||
|
||||
/// @details Randomly selects a token from the candidates based on their probabilities using the RNG of ctx.
|
||||
/// @details Randomly selects a token from the candidates based on their probabilities.
|
||||
LLAMA_API llama_token llama_sample_token(
|
||||
struct llama_context * ctx,
|
||||
llama_token_data_array * candidates);
|
||||
@ -1069,16 +884,6 @@ extern "C" {
|
||||
int32_t n_past,
|
||||
int32_t n_predict);
|
||||
|
||||
/// @details Build a split GGUF final path for this chunk.
|
||||
/// llama_split_path(split_path, sizeof(split_path), "/models/ggml-model-q4_0", 2, 4) => split_path = "/models/ggml-model-q4_0-00002-of-00004.gguf"
|
||||
// Returns the split_path length.
|
||||
LLAMA_API int llama_split_path(char * split_path, size_t maxlen, const char * path_prefix, int split_no, int split_count);
|
||||
|
||||
/// @details Extract the path prefix from the split_path if and only if the split_no and split_count match.
|
||||
/// llama_split_prefix(split_prefix, 64, "/models/ggml-model-q4_0-00002-of-00004.gguf", 2, 4) => split_prefix = "/models/ggml-model-q4_0"
|
||||
// Returns the split_prefix length.
|
||||
LLAMA_API int llama_split_prefix(char * split_prefix, size_t maxlen, const char * split_path, int split_no, int split_count);
|
||||
|
||||
// Performance information
|
||||
LLAMA_API struct llama_timings llama_get_timings(struct llama_context * ctx);
|
||||
|
||||
@ -1101,49 +906,15 @@ extern "C" {
|
||||
// Internal API to be implemented by llama.cpp and used by tests/benchmarks only
|
||||
#ifdef LLAMA_API_INTERNAL
|
||||
|
||||
#include <random>
|
||||
#include <string>
|
||||
#include <vector>
|
||||
#include <string>
|
||||
|
||||
struct ggml_tensor;
|
||||
|
||||
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 {
|
||||
const std::vector<std::vector<llama_grammar_element>> rules;
|
||||
std::vector<std::vector<const llama_grammar_element *>> stacks;
|
||||
|
||||
// buffer for partially generated UTF-8 sequence from accepted tokens
|
||||
llama_partial_utf8 partial_utf8;
|
||||
};
|
||||
|
||||
struct llama_grammar_candidate {
|
||||
size_t index;
|
||||
const uint32_t * code_points;
|
||||
llama_partial_utf8 partial_utf8;
|
||||
};
|
||||
|
||||
const std::vector<std::pair<std::string, struct ggml_tensor *>> & llama_internal_get_tensor_map(
|
||||
struct llama_context * ctx
|
||||
);
|
||||
|
||||
void llama_grammar_accept(
|
||||
const std::vector<std::vector<llama_grammar_element>> & rules,
|
||||
const std::vector<std::vector<const llama_grammar_element *>> & stacks,
|
||||
const uint32_t chr,
|
||||
std::vector<std::vector<const llama_grammar_element *>> & new_stacks);
|
||||
|
||||
std::pair<std::vector<uint32_t>, llama_partial_utf8> decode_utf8(
|
||||
const std::string & src,
|
||||
llama_partial_utf8 partial_start);
|
||||
|
||||
// Randomly selects a token from the candidates based on their probabilities using given std::mt19937.
|
||||
// This is a temporary workaround in order to fix race conditions when sampling with multiple sequences.
|
||||
llama_token llama_sample_token_with_rng(struct llama_context * ctx, llama_token_data_array * candidates, std::mt19937 & rng);
|
||||
|
||||
#endif // LLAMA_API_INTERNAL
|
||||
|
||||
#endif // LLAMA_H
|
||||
|
@ -1,40 +1,32 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Usage:
|
||||
# speak <voice_id> <textfile>
|
||||
# speak.sh <voice_id> <text-to-speak>
|
||||
|
||||
function installed() { command -v $1 >/dev/null 2>&1; }
|
||||
# espeak
|
||||
# Mac OS: brew install espeak
|
||||
# Linux: apt-get install espeak
|
||||
#
|
||||
#espeak -v en-us+m$1 -s 225 -p 50 -a 200 -g 5 -k 5 "$2"
|
||||
|
||||
if installed espeak; then
|
||||
espeak -v en-us+m$1 -s 225 -p 50 -a 200 -g 5 -k 5 -f $2
|
||||
|
||||
elif installed piper && installed aplay; then
|
||||
cat $2 | piper --model ~/en_US-lessac-medium.onnx --output-raw | aplay -q -r 22050 -f S16_LE -t raw -
|
||||
# piper
|
||||
#
|
||||
# https://github.com/rhasspy/piper
|
||||
#
|
||||
# Tested with Linux:
|
||||
#
|
||||
#echo "$2" | piper --model ~/en_US-lessac-medium.onnx --output-raw | aplay -q -r 22050 -f S16_LE -t raw -
|
||||
|
||||
# for Mac
|
||||
elif installed say; then
|
||||
say -f $2
|
||||
say "$2"
|
||||
|
||||
# Eleven Labs
|
||||
elif installed python3 && \
|
||||
python3 -c 'import importlib.util; exit(not importlib.util.find_spec("elevenlabs"))' && \
|
||||
installed ffplay; then
|
||||
# It's possible to use the API for free with limited number of characters.
|
||||
# To increase this limit register to https://beta.elevenlabs.io to get an api key
|
||||
# and paste it after 'ELEVEN_API_KEY='
|
||||
# Keep the line commented to use the free version without api key
|
||||
#export ELEVEN_API_KEY=your_api_key
|
||||
wd=$(dirname $0)
|
||||
script=$wd/eleven-labs.py
|
||||
python3 $script -q -p -v $1 $2 >/dev/null 2>&1
|
||||
|
||||
# Uncomment to keep the audio file
|
||||
#python3 $script -q -s ./audio.mp3 -v $1 $2 >/dev/null 2>&1
|
||||
#ffplay -autoexit -nodisp -loglevel quiet -hide_banner -i ./audio.mp3 >/dev/null 2>&1
|
||||
|
||||
else
|
||||
echo 'Install espeak ("brew install espeak" or "apt-get install espeak"),'
|
||||
echo 'piper ("pip install piper-tts" or https://github.com/rhasspy/piper) with aplay,'
|
||||
echo 'or elevenlabs ("pip install elevenlabs") with ffplay.'
|
||||
echo '(export ELEVEN_API_KEY if you have an api key from https://beta.elevenlabs.io)'
|
||||
fi
|
||||
# To use it, install the elevenlabs module from pip (pip install elevenlabs)
|
||||
# It's possible to use the API for free with limited number of characters. To increase this limit register to https://beta.elevenlabs.io to get an api key and paste it after 'ELEVEN_API_KEY='
|
||||
#Keep the line commented to use the free version whitout api key
|
||||
#
|
||||
#export ELEVEN_API_KEY=your_api_key
|
||||
#wd=$(dirname $0)
|
||||
#script=$wd/eleven-labs.py
|
||||
#python3 $script $1 "$2" >/dev/null 2>&1
|
||||
#ffplay -autoexit -nodisp -loglevel quiet -hide_banner -i ./audio.mp3 >/dev/null 2>&1
|
||||
|
@ -1 +1 @@
|
||||
@powershell -ExecutionPolicy Bypass -F examples\talk-llama\speak.ps1 %1 %2
|
||||
@powershell -ExecutionPolicy Bypass -F examples\talk\speak.ps1 %1 %2
|
||||
|
@ -1,14 +1,12 @@
|
||||
# Set-ExecutionPolicy -ExecutionPolicy Bypass -Scope CurrentUser
|
||||
param(
|
||||
[Parameter(Mandatory=$true)][int]$voicenum,
|
||||
[Parameter(Mandatory=$true)][string]$textfile
|
||||
# voice options are David or Zira
|
||||
[Parameter(Mandatory=$true)][string]$voice,
|
||||
[Parameter(Mandatory=$true)][string]$text
|
||||
)
|
||||
|
||||
Add-Type -AssemblyName System.Speech;
|
||||
$speak = New-Object System.Speech.Synthesis.SpeechSynthesizer;
|
||||
$voiceoptions = $speak.GetInstalledVoices("en-US");
|
||||
$voice = $voiceoptions[$voicenum % $voiceoptions.count];
|
||||
$speak.SelectVoice($voice.VoiceInfo.Name);
|
||||
$speak.SelectVoice("Microsoft $voice Desktop");
|
||||
$speak.Rate="0";
|
||||
$text = Get-Content -Path $textfile;
|
||||
$speak.Speak($text);
|
||||
|
@ -35,10 +35,10 @@ std::vector<llama_token> llama_tokenize(struct llama_context * ctx, const std::s
|
||||
|
||||
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(), false);
|
||||
const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size());
|
||||
if (n_tokens < 0) {
|
||||
result.resize(-n_tokens);
|
||||
int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), false);
|
||||
int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size());
|
||||
GGML_ASSERT(check == -n_tokens);
|
||||
} else {
|
||||
result.resize(n_tokens);
|
||||
@ -59,13 +59,13 @@ struct whisper_params {
|
||||
float vad_thold = 0.6f;
|
||||
float freq_thold = 100.0f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool translate = false;
|
||||
bool print_special = false;
|
||||
bool print_energy = false;
|
||||
bool no_timestamps = true;
|
||||
bool verbose_prompt = false;
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
|
||||
std::string person = "Georgi";
|
||||
std::string bot_name = "LLaMA";
|
||||
@ -75,7 +75,6 @@ struct whisper_params {
|
||||
std::string model_wsp = "models/ggml-base.en.bin";
|
||||
std::string model_llama = "models/ggml-llama-7B.bin";
|
||||
std::string speak = "./examples/talk-llama/speak";
|
||||
std::string speak_file = "./examples/talk-llama/to_speak.txt";
|
||||
std::string prompt = "";
|
||||
std::string fname_out;
|
||||
std::string path_session = ""; // path to file for saving/loading model eval state
|
||||
@ -99,12 +98,12 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-ngl" || arg == "--n-gpu-layers") { params.n_gpu_layers = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
else if (arg == "-pe" || arg == "--print-energy") { params.print_energy = true; }
|
||||
else if (arg == "-vp" || arg == "--verbose-prompt") { params.verbose_prompt = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
else if (arg == "-p" || arg == "--person") { params.person = argv[++i]; }
|
||||
else if (arg == "-bn" || arg == "--bot-name") { params.bot_name = argv[++i]; }
|
||||
else if (arg == "--session") { params.path_session = argv[++i]; }
|
||||
@ -114,7 +113,6 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-mw" || arg == "--model-whisper") { params.model_wsp = argv[++i]; }
|
||||
else if (arg == "-ml" || arg == "--model-llama") { params.model_llama = argv[++i]; }
|
||||
else if (arg == "-s" || arg == "--speak") { params.speak = argv[++i]; }
|
||||
else if (arg == "-sf" || arg == "--speak-file") { params.speak_file = argv[++i]; }
|
||||
else if (arg == "--prompt-file") {
|
||||
std::ifstream file(argv[++i]);
|
||||
std::copy(std::istreambuf_iterator<char>(file), std::istreambuf_iterator<char>(), back_inserter(params.prompt));
|
||||
@ -123,6 +121,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
}
|
||||
}
|
||||
else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
whisper_print_usage(argc, argv, params);
|
||||
@ -147,12 +146,12 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -ngl N, --n-gpu-layers N [%-7d] number of layers to store in VRAM\n", params.n_gpu_layers);
|
||||
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
|
||||
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
|
||||
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
|
||||
fprintf(stderr, " -pe, --print-energy [%-7s] print sound energy (for debugging)\n", params.print_energy ? "true" : "false");
|
||||
fprintf(stderr, " -vp, --verbose-prompt [%-7s] print prompt at start\n", params.verbose_prompt ? "true" : "false");
|
||||
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
|
||||
fprintf(stderr, " -fa, --flash-attn [%-7s] flash attention\n", params.flash_attn ? "true" : "false");
|
||||
fprintf(stderr, " -p NAME, --person NAME [%-7s] person name (for prompt selection)\n", params.person.c_str());
|
||||
fprintf(stderr, " -bn NAME, --bot-name NAME [%-7s] bot name (to display)\n", params.bot_name.c_str());
|
||||
fprintf(stderr, " -w TEXT, --wake-command T [%-7s] wake-up command to listen for\n", params.wake_cmd.c_str());
|
||||
@ -161,7 +160,6 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -mw FILE, --model-whisper [%-7s] whisper model file\n", params.model_wsp.c_str());
|
||||
fprintf(stderr, " -ml FILE, --model-llama [%-7s] llama model file\n", params.model_llama.c_str());
|
||||
fprintf(stderr, " -s FILE, --speak TEXT [%-7s] command for TTS\n", params.speak.c_str());
|
||||
fprintf(stderr, " -sf FILE, --speak-file [%-7s] file to pass to TTS\n", params.speak_file.c_str());
|
||||
fprintf(stderr, " --prompt-file FNAME [%-7s] file with custom prompt to start dialog\n", "");
|
||||
fprintf(stderr, " --session FNAME file to cache model state in (may be large!) (default: none)\n");
|
||||
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str());
|
||||
@ -202,6 +200,7 @@ std::string transcribe(
|
||||
wparams.prompt_n_tokens = prompt_tokens.empty() ? 0 : prompt_tokens.size();
|
||||
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
wparams.speed_up = params.speed_up;
|
||||
|
||||
if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
|
||||
return "";
|
||||
@ -283,19 +282,13 @@ int main(int argc, char ** argv) {
|
||||
// whisper init
|
||||
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx_wsp = whisper_init_from_file_with_params(params.model_wsp.c_str(), cparams);
|
||||
if (!ctx_wsp) {
|
||||
fprintf(stderr, "No whisper.cpp model specified. Please provide using -mw <modelfile>\n");
|
||||
return 1;
|
||||
}
|
||||
|
||||
// llama init
|
||||
|
||||
llama_backend_init();
|
||||
llama_backend_init(true);
|
||||
|
||||
auto lmparams = llama_model_default_params();
|
||||
if (!params.use_gpu) {
|
||||
@ -305,10 +298,6 @@ int main(int argc, char ** argv) {
|
||||
}
|
||||
|
||||
struct llama_model * model_llama = llama_load_model_from_file(params.model_llama.c_str(), lmparams);
|
||||
if (!model_llama) {
|
||||
fprintf(stderr, "No llama.cpp model specified. Please provide using -ml <modelfile>\n");
|
||||
return 1;
|
||||
}
|
||||
|
||||
llama_context_params lcparams = llama_context_default_params();
|
||||
|
||||
@ -316,7 +305,6 @@ int main(int argc, char ** argv) {
|
||||
lcparams.n_ctx = 2048;
|
||||
lcparams.seed = 1;
|
||||
lcparams.n_threads = params.n_threads;
|
||||
lcparams.flash_attn = params.flash_attn;
|
||||
|
||||
struct llama_context * ctx_llama = llama_new_context_with_model(model_llama, lcparams);
|
||||
|
||||
@ -400,8 +388,6 @@ int main(int argc, char ** argv) {
|
||||
|
||||
prompt_llama = ::replace(prompt_llama, "{4}", chat_symb);
|
||||
|
||||
llama_batch batch = llama_batch_init(llama_n_ctx(ctx_llama), 0, 1);
|
||||
|
||||
// init session
|
||||
std::string path_session = params.path_session;
|
||||
std::vector<llama_token> session_tokens;
|
||||
@ -437,21 +423,8 @@ int main(int argc, char ** argv) {
|
||||
printf("\n");
|
||||
printf("%s : initializing - please wait ...\n", __func__);
|
||||
|
||||
// prepare batch
|
||||
{
|
||||
batch.n_tokens = embd_inp.size();
|
||||
|
||||
for (int i = 0; i < batch.n_tokens; i++) {
|
||||
batch.token[i] = embd_inp[i];
|
||||
batch.pos[i] = i;
|
||||
batch.n_seq_id[i] = 1;
|
||||
batch.seq_id[i][0] = 0;
|
||||
batch.logits[i] = i == batch.n_tokens - 1;
|
||||
}
|
||||
}
|
||||
|
||||
if (llama_decode(ctx_llama, batch)) {
|
||||
fprintf(stderr, "%s : failed to decode\n", __func__);
|
||||
if (llama_eval(ctx_llama, embd_inp.data(), embd_inp.size(), 0)) {
|
||||
fprintf(stderr, "%s : failed to eval\n", __func__);
|
||||
return 1;
|
||||
}
|
||||
|
||||
@ -573,7 +546,10 @@ int main(int argc, char ** argv) {
|
||||
|
||||
// optionally give audio feedback that the current text is being processed
|
||||
if (!params.heard_ok.empty()) {
|
||||
speak_with_file(params.speak, params.heard_ok, params.speak_file, voice_id);
|
||||
int ret = system((params.speak + " " + std::to_string(voice_id) + " '" + params.heard_ok + "'").c_str());
|
||||
if (ret != 0) {
|
||||
fprintf(stderr, "%s: failed to speak\n", __func__);
|
||||
}
|
||||
}
|
||||
|
||||
// remove text between brackets using regex
|
||||
@ -671,21 +647,8 @@ int main(int argc, char ** argv) {
|
||||
n_session_consumed = session_tokens.size();
|
||||
}
|
||||
|
||||
// prepare batch
|
||||
{
|
||||
batch.n_tokens = embd.size();
|
||||
|
||||
for (int i = 0; i < batch.n_tokens; i++) {
|
||||
batch.token[i] = embd[i];
|
||||
batch.pos[i] = n_past + i;
|
||||
batch.n_seq_id[i] = 1;
|
||||
batch.seq_id[i][0] = 0;
|
||||
batch.logits[i] = i == batch.n_tokens - 1;
|
||||
}
|
||||
}
|
||||
|
||||
if (llama_decode(ctx_llama, batch)) {
|
||||
fprintf(stderr, "%s : failed to decode\n", __func__);
|
||||
if (llama_eval(ctx_llama, embd.data(), embd.size(), n_past)) {
|
||||
fprintf(stderr, "%s : failed to eval\n", __func__);
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
@ -785,7 +748,11 @@ int main(int argc, char ** argv) {
|
||||
}
|
||||
}
|
||||
|
||||
speak_with_file(params.speak, text_to_speak, params.speak_file, voice_id);
|
||||
text_to_speak = ::replace(text_to_speak, "'", "'\"'\"'");
|
||||
int ret = system((params.speak + " " + std::to_string(voice_id) + " '" + text_to_speak + "'").c_str());
|
||||
if (ret != 0) {
|
||||
fprintf(stderr, "%s: failed to speak\n", __func__);
|
||||
}
|
||||
|
||||
audio.clear();
|
||||
}
|
||||
|
File diff suppressed because it is too large
Load Diff
@ -1,17 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include <cstdint>
|
||||
#include <map>
|
||||
#include <utility>
|
||||
#include <vector>
|
||||
|
||||
extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_number;
|
||||
extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_letter;
|
||||
extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_separator;
|
||||
extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_whitespace;
|
||||
extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_accent_mark;
|
||||
extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_punctuation;
|
||||
extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_symbol;
|
||||
extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_control;
|
||||
extern const std::multimap<uint32_t, uint32_t> unicode_map_nfd;
|
||||
extern const std::map<char32_t, char32_t> unicode_map_lowercase;
|
@ -1,818 +0,0 @@
|
||||
#include "unicode.h"
|
||||
#include "unicode-data.h"
|
||||
|
||||
#include <cassert>
|
||||
#include <cstddef>
|
||||
#include <cstdint>
|
||||
#include <map>
|
||||
#include <regex>
|
||||
#include <stdexcept>
|
||||
#include <string>
|
||||
#include <unordered_map>
|
||||
#include <unordered_set>
|
||||
#include <utility>
|
||||
#include <vector>
|
||||
#include <locale>
|
||||
#include <codecvt>
|
||||
|
||||
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) {
|
||||
result.append(unicode_cpt_to_utf8(cps[i]));
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
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];
|
||||
offset += 1;
|
||||
return result;
|
||||
}
|
||||
if (!(utf8[offset + 0] & 0x40)) {
|
||||
throw std::invalid_argument("invalid character");
|
||||
}
|
||||
if (!(utf8[offset + 0] & 0x20)) {
|
||||
if (offset + 1 >= utf8.size() || ! ((utf8[offset + 1] & 0xc0) == 0x80)) {
|
||||
throw std::invalid_argument("invalid character");
|
||||
}
|
||||
auto result = ((utf8[offset + 0] & 0x1f) << 6) | (utf8[offset + 1] & 0x3f);
|
||||
offset += 2;
|
||||
return result;
|
||||
}
|
||||
if (!(utf8[offset + 0] & 0x10)) {
|
||||
if (offset + 2 >= utf8.size() || ! ((utf8[offset + 1] & 0xc0) == 0x80) || ! ((utf8[offset + 2] & 0xc0) == 0x80)) {
|
||||
throw std::invalid_argument("invalid character");
|
||||
}
|
||||
auto result = ((utf8[offset + 0] & 0x0f) << 12) | ((utf8[offset + 1] & 0x3f) << 6) | (utf8[offset + 2] & 0x3f);
|
||||
offset += 3;
|
||||
return result;
|
||||
}
|
||||
if (!(utf8[offset + 0] & 0x08)) {
|
||||
if (offset + 3 >= utf8.size() || ! ((utf8[offset + 1] & 0xc0) == 0x80) || ! ((utf8[offset + 2] & 0xc0) == 0x80) || !((utf8[offset + 3] & 0xc0) == 0x80)) {
|
||||
throw std::invalid_argument("invalid character");
|
||||
}
|
||||
auto result = ((utf8[offset + 0] & 0x07) << 18) | ((utf8[offset + 1] & 0x3f) << 12) | ((utf8[offset + 2] & 0x3f) << 6) | (utf8[offset + 3] & 0x3f);
|
||||
offset += 4;
|
||||
return result;
|
||||
}
|
||||
throw std::invalid_argument("failed to convert utf8 to codepoint");
|
||||
}
|
||||
|
||||
//static std::vector<uint16_t> unicode_cpt_to_utf16(uint32_t cp) {
|
||||
// std::vector<uint16_t> result;
|
||||
// if (/* 0x0000 <= cp && */ cp <= 0xffff) {
|
||||
// result.emplace_back(cp);
|
||||
// return result;
|
||||
// }
|
||||
// if (0x10000 <= cp && cp <= 0x10ffff) {
|
||||
// result.emplace_back(0xd800 | ((cp - 0x10000) >> 10));
|
||||
// result.emplace_back(0xdc00 | ((cp - 0x10000) & 0x03ff));
|
||||
// return result;
|
||||
// }
|
||||
// throw std::invalid_argument("failed to convert codepoint to utf16");
|
||||
//}
|
||||
|
||||
//static std::vector<uint16_t> unicode_cpts_to_utf16(const std::vector<uint32_t> & cps) {
|
||||
// std::vector<uint16_t> result;
|
||||
// for (size_t i = 0; i < cps.size(); ++i) {
|
||||
// auto temp = unicode_cpt_to_utf16(cps[i]);
|
||||
// result.insert(result.end(), temp.begin(), temp.end());
|
||||
// }
|
||||
// return result;
|
||||
//}
|
||||
|
||||
//static uint32_t unicode_cpt_from_utf16(const std::vector<uint16_t> & utf16, size_t & offset) {
|
||||
// assert(offset < utf16.size());
|
||||
// if (((utf16[0] >> 10) << 10) != 0xd800) {
|
||||
// auto result = utf16[offset + 0];
|
||||
// offset += 1;
|
||||
// return result;
|
||||
// }
|
||||
//
|
||||
// if (offset + 1 >= utf16.size() || !((utf16[1] & 0xdc00) == 0xdc00)) {
|
||||
// throw std::invalid_argument("invalid character");
|
||||
// }
|
||||
//
|
||||
// auto result = 0x10000 + (((utf16[0] & 0x03ff) << 10) | (utf16[1] & 0x03ff));
|
||||
// offset += 2;
|
||||
// return result;
|
||||
//}
|
||||
|
||||
//static std::vector<uint32_t> unicode_cpts_from_utf16(const std::vector<uint16_t> & utf16) {
|
||||
// std::vector<uint32_t> result;
|
||||
// size_t offset = 0;
|
||||
// while (offset < utf16.size()) {
|
||||
// result.push_back(unicode_cpt_from_utf16(utf16, offset));
|
||||
// }
|
||||
// return result;
|
||||
//}
|
||||
|
||||
static std::unordered_map<uint32_t, int> unicode_cpt_type_map() {
|
||||
std::unordered_map<uint32_t, int> cpt_types;
|
||||
for (auto p : unicode_ranges_number) {
|
||||
for (auto i = p.first; i <= p.second; ++i) {
|
||||
cpt_types[i] = CODEPOINT_TYPE_NUMBER;
|
||||
}
|
||||
}
|
||||
for (auto p : unicode_ranges_letter) {
|
||||
for (auto i = p.first; i <= p.second; ++i) {
|
||||
cpt_types[i] = CODEPOINT_TYPE_LETTER;
|
||||
}
|
||||
}
|
||||
for (auto p : unicode_ranges_separator) {
|
||||
for (auto i = p.first; i <= p.second; ++i) {
|
||||
cpt_types[i] = CODEPOINT_TYPE_SEPARATOR;
|
||||
}
|
||||
}
|
||||
for (auto p : unicode_ranges_accent_mark) {
|
||||
for (auto i = p.first; i <= p.second; ++i) {
|
||||
cpt_types[i] = CODEPOINT_TYPE_ACCENT_MARK;
|
||||
}
|
||||
}
|
||||
for (auto p : unicode_ranges_punctuation) {
|
||||
for (auto i = p.first; i <= p.second; ++i) {
|
||||
cpt_types[i] = CODEPOINT_TYPE_PUNCTUATION;
|
||||
}
|
||||
}
|
||||
for (auto p : unicode_ranges_symbol) {
|
||||
for (auto i = p.first; i <= p.second; ++i) {
|
||||
cpt_types[i] = CODEPOINT_TYPE_SYMBOL;
|
||||
}
|
||||
}
|
||||
for (auto p : unicode_ranges_control) {
|
||||
for (auto i = p.first; i <= p.second; ++i) {
|
||||
cpt_types[i] = CODEPOINT_TYPE_CONTROL;
|
||||
}
|
||||
}
|
||||
return cpt_types;
|
||||
}
|
||||
|
||||
static std::unordered_map<uint8_t, std::string> unicode_byte_to_utf8_map() {
|
||||
std::unordered_map<uint8_t, std::string> map;
|
||||
for (int ch = u'!'; ch <= u'~'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[ch] = unicode_cpt_to_utf8(ch);
|
||||
}
|
||||
for (int ch = u'¡'; ch <= u'¬'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[ch] = unicode_cpt_to_utf8(ch);
|
||||
}
|
||||
for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[ch] = unicode_cpt_to_utf8(ch);
|
||||
}
|
||||
auto n = 0;
|
||||
for (int ch = 0; ch < 256; ++ch) {
|
||||
if (map.find(ch) == map.end()) {
|
||||
map[ch] = unicode_cpt_to_utf8(256 + n);
|
||||
++n;
|
||||
}
|
||||
}
|
||||
return map;
|
||||
}
|
||||
|
||||
static std::unordered_map<std::string, uint8_t> unicode_utf8_to_byte_map() {
|
||||
std::unordered_map<std::string, uint8_t> map;
|
||||
for (int ch = u'!'; ch <= u'~'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[unicode_cpt_to_utf8(ch)] = ch;
|
||||
}
|
||||
for (int ch = u'¡'; ch <= u'¬'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[unicode_cpt_to_utf8(ch)] = ch;
|
||||
}
|
||||
for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[unicode_cpt_to_utf8(ch)] = ch;
|
||||
}
|
||||
auto n = 0;
|
||||
for (int ch = 0; ch < 256; ++ch) {
|
||||
if (map.find(unicode_cpt_to_utf8(ch)) == map.end()) {
|
||||
map[unicode_cpt_to_utf8(256 + n)] = ch;
|
||||
++n;
|
||||
}
|
||||
}
|
||||
return map;
|
||||
}
|
||||
|
||||
static inline std::wstring unicode_wstring_from_utf8(const std::string & s) {
|
||||
std::wstring_convert<std::codecvt_utf8<wchar_t>> conv;
|
||||
return conv.from_bytes(s);
|
||||
}
|
||||
|
||||
static std::vector<std::string> unicode_byte_encoding_process(const std::vector<std::string> & bpe_words) {
|
||||
std::vector<std::string> bpe_encoded_words;
|
||||
for (const auto & word : bpe_words) {
|
||||
std::string text_utf;
|
||||
auto utf_word = unicode_cpts_from_utf8(word);
|
||||
for (size_t i = 0; i < utf_word.size(); ++i) {
|
||||
text_utf += unicode_cpt_to_utf8(utf_word[i]);
|
||||
}
|
||||
|
||||
std::string encoded_token;
|
||||
for (char & c : text_utf) {
|
||||
encoded_token += unicode_byte_to_utf8(c);
|
||||
}
|
||||
bpe_encoded_words.emplace_back(encoded_token);
|
||||
}
|
||||
return bpe_encoded_words;
|
||||
}
|
||||
|
||||
// GPT2 system regex: 's|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+
|
||||
static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & text, const std::vector<size_t> & offsets) {
|
||||
std::vector<size_t> bpe_offsets; // store the offset of each word
|
||||
bpe_offsets.reserve(offsets.size()); // Reserve memory for the approximate size
|
||||
|
||||
const auto cpts = unicode_cpts_from_utf8(text);
|
||||
|
||||
size_t start = 0;
|
||||
for (auto offset : offsets) {
|
||||
const size_t offset_ini = start;
|
||||
const size_t offset_end = start + offset;
|
||||
assert(offset_end <= cpts.size());
|
||||
start = offset_end;
|
||||
|
||||
auto _get_cpt = [&] (const size_t pos) -> char32_t {
|
||||
return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0;
|
||||
};
|
||||
|
||||
auto _get_cpt_type = [&] (const size_t pos) -> int {
|
||||
return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_type(cpts[pos]) : CODEPOINT_TYPE_UNIDENTIFIED;
|
||||
};
|
||||
|
||||
size_t _prev_end = offset_ini;
|
||||
auto _add_token = [&] (const size_t end) -> size_t {
|
||||
assert(_prev_end <= end && end <= offset_end);
|
||||
size_t len = end - _prev_end;
|
||||
if (len > 0) {
|
||||
bpe_offsets.push_back(len);
|
||||
}
|
||||
_prev_end = end;
|
||||
//if (len > 0) {
|
||||
// std::string s = "";
|
||||
// for(size_t p = end-len; p < end; p++)
|
||||
// s += unicode_cpt_to_utf8(cpts[p]);
|
||||
// printf(">>> '%s'\n", s.c_str());
|
||||
//}
|
||||
return len;
|
||||
};
|
||||
|
||||
for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) {
|
||||
const char32_t cpt = _get_cpt(pos);
|
||||
const int cpt_type = _get_cpt_type(pos);
|
||||
|
||||
// regex: 's|'t|'re|'ve|'m|'ll|'d
|
||||
if (cpt == '\'' && pos+1 < offset_end) {
|
||||
char32_t cpt_next = _get_cpt(pos+1);
|
||||
if (cpt_next == 's' || cpt_next == 't' || cpt_next == 'm' || cpt_next == 'd') {
|
||||
pos += _add_token(pos+2);
|
||||
continue;
|
||||
}
|
||||
if (pos+2 < offset_end) {
|
||||
char32_t cpt_next_next = _get_cpt(pos+2);
|
||||
if ((cpt_next == 'r' && cpt_next_next == 'e') ||
|
||||
(cpt_next == 'v' && cpt_next_next == 'e') ||
|
||||
(cpt_next == 'l' && cpt_next_next == 'l')) {
|
||||
pos += _add_token(pos+3);
|
||||
continue;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
char32_t cpt2 = (cpt == ' ' ? _get_cpt(pos+1) : cpt);
|
||||
int cpt2_type = (cpt == ' ' ? _get_cpt_type(pos+1) : cpt_type);
|
||||
// regex: <space>?\p{L}+
|
||||
if (cpt2_type == CODEPOINT_TYPE_LETTER) {
|
||||
pos += (cpt == ' ');
|
||||
while (cpt2_type == CODEPOINT_TYPE_LETTER) {
|
||||
cpt2_type = _get_cpt_type(++pos);
|
||||
}
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
// regex: <space>?\p{N}+
|
||||
if (cpt2_type == CODEPOINT_TYPE_NUMBER) {
|
||||
pos += (cpt == ' ');
|
||||
while (cpt2_type == CODEPOINT_TYPE_NUMBER) {
|
||||
cpt2_type = _get_cpt_type(++pos);
|
||||
}
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
// regex: <space>?[^\s\p{L}\p{N}]+
|
||||
if (!unicode_cpt_is_whitespace(cpt2) && cpt2_type != CODEPOINT_TYPE_LETTER && cpt2_type != CODEPOINT_TYPE_NUMBER && cpt2_type != CODEPOINT_TYPE_UNIDENTIFIED) {
|
||||
pos += (cpt == ' ');
|
||||
while (!unicode_cpt_is_whitespace(cpt2) && cpt2_type != CODEPOINT_TYPE_LETTER && cpt2_type != CODEPOINT_TYPE_NUMBER && cpt2_type != CODEPOINT_TYPE_UNIDENTIFIED) {
|
||||
cpt2_type = _get_cpt_type(++pos);
|
||||
cpt2 = _get_cpt(pos);
|
||||
}
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
|
||||
size_t num_whitespaces = 0;
|
||||
while (unicode_cpt_is_whitespace(_get_cpt(pos+num_whitespaces))) {
|
||||
num_whitespaces++;
|
||||
}
|
||||
|
||||
// regex: \s+(?!\S)
|
||||
if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != 0) {
|
||||
pos += num_whitespaces - 1;
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
|
||||
// regex: \s+
|
||||
if (num_whitespaces > 0) {
|
||||
pos += num_whitespaces;
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
|
||||
// no matches
|
||||
_add_token(++pos);
|
||||
}
|
||||
}
|
||||
|
||||
return bpe_offsets;
|
||||
}
|
||||
|
||||
// LLAMA3 system regex: "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?\p{L}+|\p{N}{1,3}| ?[^\s\p{L}\p{N}]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+"
|
||||
static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string & text, const std::vector<size_t> & offsets) {
|
||||
std::vector<size_t> bpe_offsets; // store the offset of each word
|
||||
bpe_offsets.reserve(offsets.size()); // Reserve memory for the approximate size
|
||||
|
||||
const auto cpts = unicode_cpts_from_utf8(text);
|
||||
|
||||
size_t start = 0;
|
||||
for (auto offset : offsets) {
|
||||
const size_t offset_ini = start;
|
||||
const size_t offset_end = start + offset;
|
||||
assert(offset_end <= cpts.size());
|
||||
start = offset_end;
|
||||
|
||||
auto _get_cpt = [&] (const size_t pos) -> char32_t {
|
||||
return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0;
|
||||
};
|
||||
|
||||
auto _get_cpt_type = [&] (const size_t pos) -> int {
|
||||
return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_type(cpts[pos]) : CODEPOINT_TYPE_UNIDENTIFIED;
|
||||
};
|
||||
|
||||
size_t _prev_end = offset_ini;
|
||||
auto _add_token = [&] (const size_t end) -> size_t {
|
||||
assert(_prev_end <= end && end <= offset_end);
|
||||
size_t len = end - _prev_end;
|
||||
if (len > 0) {
|
||||
bpe_offsets.push_back(len);
|
||||
}
|
||||
_prev_end = end;
|
||||
//if (len > 0) {
|
||||
// std::string s = "";
|
||||
// for(size_t p = end-len; p < end; p++)
|
||||
// s += unicode_cpt_to_utf8(cpts[p]);
|
||||
// printf(">>> '%s'\n", s.c_str());
|
||||
//}
|
||||
return len;
|
||||
};
|
||||
|
||||
for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) {
|
||||
const char32_t cpt = _get_cpt(pos);
|
||||
const int cpt_type = _get_cpt_type(pos);
|
||||
|
||||
// regex: (?i:'s|'t|'re|'ve|'m|'ll|'d) // case insensitive
|
||||
if (cpt == '\'' && pos+1 < offset_end) {
|
||||
char32_t cpt_next = unicode_tolower(_get_cpt(pos+1));
|
||||
if (cpt_next == 's' || cpt_next == 't' || cpt_next == 'm' || cpt_next == 'd') {
|
||||
pos += _add_token(pos+2);
|
||||
continue;
|
||||
}
|
||||
if (pos+2 < offset_end) {
|
||||
char32_t cpt_next_next = unicode_tolower(_get_cpt(pos+2));
|
||||
if ((cpt_next == 'r' && cpt_next_next == 'e') ||
|
||||
(cpt_next == 'v' && cpt_next_next == 'e') ||
|
||||
(cpt_next == 'l' && cpt_next_next == 'l')) {
|
||||
pos += _add_token(pos+3);
|
||||
continue;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// regex: [^\r\n\p{L}\p{N}]?\p{L}+ //####FIXME: the first \p{L} is correct?
|
||||
if (cpt != '\r' && cpt != '\n' && /*cpt_type != CODEPOINT_TYPE_LETTER &&*/ cpt_type != CODEPOINT_TYPE_NUMBER) {
|
||||
if (cpt_type == CODEPOINT_TYPE_LETTER || _get_cpt_type(pos+1) == CODEPOINT_TYPE_LETTER) { // one or more letters
|
||||
pos++;
|
||||
while (_get_cpt_type(pos) == CODEPOINT_TYPE_LETTER) {
|
||||
pos++;
|
||||
}
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
// regex: \p{N}{1,3}
|
||||
if (cpt_type == CODEPOINT_TYPE_NUMBER) {
|
||||
size_t ini = pos;
|
||||
while (_get_cpt_type(pos) == CODEPOINT_TYPE_NUMBER) {
|
||||
if (++pos - ini >= 3 ) {
|
||||
_add_token(pos);
|
||||
ini = pos;
|
||||
}
|
||||
}
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
|
||||
// regex: <space>?[^\s\p{L}\p{N}]+[\r\n]*
|
||||
char32_t cpt2 = (cpt == ' ' ? _get_cpt(pos+1) : cpt);
|
||||
int cpt2_type = (cpt == ' ' ? _get_cpt_type(pos+1) : cpt_type);
|
||||
if (!unicode_cpt_is_whitespace(cpt2) && cpt2_type != CODEPOINT_TYPE_LETTER && cpt2_type != CODEPOINT_TYPE_NUMBER && cpt2_type != CODEPOINT_TYPE_UNIDENTIFIED) {
|
||||
pos += (cpt == ' ');
|
||||
while (!unicode_cpt_is_whitespace(cpt2) && cpt2_type != CODEPOINT_TYPE_LETTER && cpt2_type != CODEPOINT_TYPE_NUMBER && cpt2_type != CODEPOINT_TYPE_UNIDENTIFIED) {
|
||||
cpt2_type = _get_cpt_type(++pos);
|
||||
cpt2 = _get_cpt(pos);
|
||||
}
|
||||
while (cpt2 == '\r' || cpt2 == '\n') {
|
||||
cpt2 = _get_cpt(++pos);
|
||||
}
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
|
||||
size_t num_whitespaces = 0;
|
||||
size_t last_end_r_or_n = 0;
|
||||
while (unicode_cpt_is_whitespace(_get_cpt(pos+num_whitespaces))) {
|
||||
char32_t cpt2 = _get_cpt(pos+num_whitespaces);
|
||||
if (cpt2 == '\r' || cpt2 == '\n') {
|
||||
last_end_r_or_n = pos + num_whitespaces + 1;
|
||||
}
|
||||
num_whitespaces++;
|
||||
}
|
||||
|
||||
// regex: \s*[\r\n]+
|
||||
if (last_end_r_or_n > 0) {
|
||||
pos = last_end_r_or_n;
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
|
||||
// regex: \s+(?!\S)
|
||||
if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != 0) {
|
||||
pos += num_whitespaces - 1;
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
|
||||
// regex: \s+
|
||||
if (num_whitespaces > 0) {
|
||||
pos += num_whitespaces;
|
||||
_add_token(pos);
|
||||
continue;
|
||||
}
|
||||
|
||||
// no matches
|
||||
_add_token(++pos);
|
||||
}
|
||||
}
|
||||
|
||||
return bpe_offsets;
|
||||
}
|
||||
|
||||
// use std::wregex to split the text
|
||||
static std::vector<size_t> unicode_regex_split_stl(const std::wstring & wtext, const std::wstring & regex_expr, const std::vector<size_t> & offsets) {
|
||||
std::wregex expr(regex_expr);
|
||||
std::vector<size_t> bpe_offsets; // store the offset of each word
|
||||
bpe_offsets.reserve(offsets.size()); // Reserve memory for the approximate size
|
||||
size_t start = 0;
|
||||
for (auto offset : offsets) {
|
||||
std::wcregex_iterator it(wtext.data() + start, wtext.data() + start + offset, expr);
|
||||
std::wcregex_iterator end;
|
||||
|
||||
int64_t start_idx = 0;
|
||||
while (it != end) {
|
||||
std::wcmatch match = *it;
|
||||
if (match.position() > start_idx) {
|
||||
bpe_offsets.emplace_back(match.position() - start_idx);
|
||||
}
|
||||
bpe_offsets.emplace_back(match.length());
|
||||
start_idx = match.position() + match.length();
|
||||
++it;
|
||||
}
|
||||
|
||||
if (start_idx < (int64_t) offset) {
|
||||
bpe_offsets.emplace_back(offset - start_idx);
|
||||
}
|
||||
start += offset;
|
||||
}
|
||||
|
||||
return bpe_offsets;
|
||||
}
|
||||
|
||||
// use std::regex to split the text
|
||||
static std::vector<size_t> unicode_regex_split_stl(const std::string & text, const std::string & regex_expr, const std::vector<size_t> & offsets) {
|
||||
std::regex expr(regex_expr);
|
||||
std::vector<size_t> bpe_offsets; // store the offset of each word
|
||||
bpe_offsets.reserve(offsets.size()); // Reserve memory for the approximate size
|
||||
size_t start = 0;
|
||||
for (auto offset : offsets) {
|
||||
std::cregex_iterator it(text.data() + start, text.data() + start + offset, expr);
|
||||
std::cregex_iterator end;
|
||||
|
||||
int64_t start_idx = 0;
|
||||
while (it != end) {
|
||||
std::cmatch match = *it;
|
||||
if (match.position() > start_idx) {
|
||||
bpe_offsets.emplace_back(match.position() - start_idx);
|
||||
}
|
||||
bpe_offsets.emplace_back(match.length());
|
||||
start_idx = match.position() + match.length();
|
||||
++it;
|
||||
}
|
||||
|
||||
if (start_idx < (int64_t) offset) {
|
||||
bpe_offsets.emplace_back(offset - start_idx);
|
||||
}
|
||||
start += offset;
|
||||
}
|
||||
|
||||
return bpe_offsets;
|
||||
}
|
||||
|
||||
static std::vector<size_t> unicode_regex_split_custom(const std::string & text, const std::string & regex_expr, const std::vector<size_t> & offsets) {
|
||||
std::vector<size_t> bpe_offsets;
|
||||
|
||||
if (regex_expr == "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)") {
|
||||
bpe_offsets = unicode_regex_split_custom_gpt2(text, offsets);
|
||||
} else if (
|
||||
regex_expr == "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+" ||
|
||||
regex_expr == "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+") {
|
||||
|
||||
bpe_offsets = unicode_regex_split_custom_llama3(text, offsets);
|
||||
}
|
||||
|
||||
return bpe_offsets;
|
||||
}
|
||||
|
||||
//
|
||||
// interface
|
||||
//
|
||||
|
||||
std::string unicode_cpt_to_utf8(uint32_t cp) {
|
||||
std::string result;
|
||||
|
||||
if (/* 0x00 <= cp && */ cp <= 0x7f) {
|
||||
result.push_back(cp);
|
||||
return result;
|
||||
}
|
||||
if (0x80 <= cp && cp <= 0x7ff) {
|
||||
result.push_back(0xc0 | ((cp >> 6) & 0x1f));
|
||||
result.push_back(0x80 | (cp & 0x3f));
|
||||
return result;
|
||||
}
|
||||
if (0x800 <= cp && cp <= 0xffff) {
|
||||
result.push_back(0xe0 | ((cp >> 12) & 0x0f));
|
||||
result.push_back(0x80 | ((cp >> 6) & 0x3f));
|
||||
result.push_back(0x80 | (cp & 0x3f));
|
||||
return result;
|
||||
}
|
||||
if (0x10000 <= cp && cp <= 0x10ffff) {
|
||||
result.push_back(0xf0 | ((cp >> 18) & 0x07));
|
||||
result.push_back(0x80 | ((cp >> 12) & 0x3f));
|
||||
result.push_back(0x80 | ((cp >> 6) & 0x3f));
|
||||
result.push_back(0x80 | (cp & 0x3f));
|
||||
return result;
|
||||
}
|
||||
|
||||
throw std::invalid_argument("invalid codepoint");
|
||||
}
|
||||
|
||||
std::vector<uint32_t> unicode_cpts_normalize_nfd(const std::vector<uint32_t> & cpts) {
|
||||
std::vector<uint32_t> result;
|
||||
result.reserve(cpts.size());
|
||||
for (size_t i = 0; i < cpts.size(); ++i) {
|
||||
auto it = unicode_map_nfd.find(cpts[i]);
|
||||
if (it == unicode_map_nfd.end()) {
|
||||
result.push_back(cpts[i]);
|
||||
} else {
|
||||
result.push_back(it->second);
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
std::vector<uint32_t> unicode_cpts_from_utf8(const std::string & utf8) {
|
||||
std::vector<uint32_t> result;
|
||||
size_t offset = 0;
|
||||
while (offset < utf8.size()) {
|
||||
result.push_back(unicode_cpt_from_utf8(utf8, offset));
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
int unicode_cpt_type(uint32_t cp) {
|
||||
static std::unordered_map<uint32_t, int> cpt_types = unicode_cpt_type_map();
|
||||
const auto it = cpt_types.find(cp);
|
||||
return it == cpt_types.end() ? CODEPOINT_TYPE_UNIDENTIFIED : it->second;
|
||||
}
|
||||
|
||||
int unicode_cpt_type(const std::string & utf8) {
|
||||
if (utf8.length() == 0) {
|
||||
return CODEPOINT_TYPE_UNIDENTIFIED;
|
||||
}
|
||||
size_t offset = 0;
|
||||
return unicode_cpt_type(unicode_cpt_from_utf8(utf8, offset));
|
||||
}
|
||||
|
||||
bool unicode_cpt_is_whitespace(uint32_t cp) {
|
||||
static const std::unordered_set<uint32_t> is_whitespace = [] {
|
||||
std::unordered_set<uint32_t> is_whitespace;
|
||||
for (auto p : unicode_ranges_whitespace) {
|
||||
for (auto i = p.first; i <= p.second; ++i) {
|
||||
is_whitespace.insert(i);
|
||||
}
|
||||
}
|
||||
return is_whitespace;
|
||||
}();
|
||||
return (bool)is_whitespace.count(cp);
|
||||
}
|
||||
|
||||
std::string unicode_byte_to_utf8(uint8_t byte) {
|
||||
static std::unordered_map<uint8_t, std::string> map = unicode_byte_to_utf8_map();
|
||||
return map.at(byte);
|
||||
}
|
||||
|
||||
uint8_t unicode_utf8_to_byte(const std::string & utf8) {
|
||||
static std::unordered_map<std::string, uint8_t> map = unicode_utf8_to_byte_map();
|
||||
return map.at(utf8);
|
||||
}
|
||||
|
||||
char32_t unicode_tolower(char32_t cp) {
|
||||
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) {
|
||||
// unicode categories
|
||||
static const std::map<std::string, int> k_ucat_enum = {
|
||||
{ "\\p{N}", CODEPOINT_TYPE_NUMBER },
|
||||
{ "\\p{L}", CODEPOINT_TYPE_LETTER },
|
||||
{ "\\p{P}", CODEPOINT_TYPE_PUNCTUATION },
|
||||
};
|
||||
|
||||
static const std::map<int, int> k_ucat_cpt = {
|
||||
{ CODEPOINT_TYPE_NUMBER, 0xD1 },
|
||||
{ CODEPOINT_TYPE_LETTER, 0xD2 },
|
||||
{ CODEPOINT_TYPE_PUNCTUATION, 0xD3 },
|
||||
};
|
||||
|
||||
static const std::map<int, std::string> k_ucat_map = {
|
||||
{ CODEPOINT_TYPE_NUMBER, "\x30-\x39" }, // 0-9
|
||||
{ CODEPOINT_TYPE_LETTER, "\x41-\x5A\x61-\x7A" }, // A-Za-z
|
||||
{ CODEPOINT_TYPE_PUNCTUATION, "\x21-\x23\x25-\x2A\x2C-\x2F\x3A-\x3B\x3F-\x40\\\x5B-\\\x5D\x5F\\\x7B\\\x7D" }, // !-#%-*,-/:-;?-@\[-\]_\{\}
|
||||
};
|
||||
|
||||
// compute collapsed codepoints only if needed by at least one regex
|
||||
bool need_collapse = false;
|
||||
for (auto & regex_expr : regex_exprs) {
|
||||
// search for unicode categories
|
||||
for (const auto & ucat : k_ucat_enum) {
|
||||
if (std::string::npos != regex_expr.find(ucat.first)) {
|
||||
need_collapse = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const auto cpts = unicode_cpts_from_utf8(text);
|
||||
|
||||
// generate a "collapsed" representation of the text, where all codepoints are replaced by a single byte
|
||||
// ref: https://github.com/ggerganov/llama.cpp/pull/6920#issuecomment-2081479935
|
||||
std::string text_collapsed;
|
||||
if (need_collapse) {
|
||||
// collapse all unicode categories
|
||||
text_collapsed.resize(cpts.size());
|
||||
|
||||
for (size_t i = 0; i < cpts.size(); ++i) {
|
||||
// keep single-byte codepoints as is
|
||||
if (cpts[i] < 128) {
|
||||
text_collapsed[i] = cpts[i];
|
||||
continue;
|
||||
}
|
||||
|
||||
const int cpt_type = unicode_cpt_type(cpts[i]);
|
||||
|
||||
if (k_ucat_cpt.find(cpt_type) != k_ucat_cpt.end()) {
|
||||
text_collapsed[i] = k_ucat_cpt.at(cpt_type);
|
||||
} else {
|
||||
text_collapsed[i] = (char) 0xD0; // fallback
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
std::vector<size_t> bpe_offsets = { cpts.size() };
|
||||
|
||||
for (auto & regex_expr : regex_exprs) {
|
||||
// first, see if we have an efficient custom regex implementation
|
||||
auto tmp = unicode_regex_split_custom(text, regex_expr, bpe_offsets);
|
||||
|
||||
if (!tmp.empty()) {
|
||||
bpe_offsets = std::move(tmp);
|
||||
continue;
|
||||
}
|
||||
|
||||
// fallback to general-purpose std::regex / std::wregex
|
||||
try {
|
||||
// if a unicode category is used in the regex, we use the collapsed text and replace the unicode category
|
||||
// with the corresponding collapsed representation
|
||||
bool use_collapsed = false;
|
||||
for (auto & ucat : k_ucat_enum) {
|
||||
if (std::string::npos != regex_expr.find(ucat.first)) {
|
||||
use_collapsed = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (use_collapsed) {
|
||||
// sanity-check that the original regex does not contain any non-ASCII characters
|
||||
const auto cpts_regex = unicode_cpts_from_utf8(regex_expr);
|
||||
for (size_t i = 0; i < cpts_regex.size(); ++i) {
|
||||
if (cpts_regex[i] >= 128) {
|
||||
throw std::runtime_error("Regex includes both unicode categories and non-ASCII characters - not supported");
|
||||
}
|
||||
}
|
||||
|
||||
// generate a collapsed representation of the regex
|
||||
std::string regex_expr_collapsed;
|
||||
|
||||
// track if we are inside [], because nested [] are not allowed
|
||||
bool inside = false;
|
||||
for (size_t i = 0; i < regex_expr.size(); ++i) {
|
||||
if (regex_expr[i] == '[' && (i == 0 || regex_expr[i - 1] != '\\')) {
|
||||
regex_expr_collapsed += '[';
|
||||
inside = true;
|
||||
continue;
|
||||
}
|
||||
|
||||
if (inside && regex_expr[i] == ']' && regex_expr[i - 1] != '\\') {
|
||||
regex_expr_collapsed += ']';
|
||||
inside = false;
|
||||
continue;
|
||||
}
|
||||
|
||||
if (regex_expr[i + 0] == '\\' && i + 4 < regex_expr.size() &&
|
||||
regex_expr[i + 1] == 'p' &&
|
||||
regex_expr[i + 2] == '{' &&
|
||||
regex_expr[i + 4] == '}') {
|
||||
const std::string pat = regex_expr.substr(i, 5);
|
||||
if (k_ucat_enum.find(pat) != k_ucat_enum.end()) {
|
||||
if (!inside) {
|
||||
regex_expr_collapsed += '[';
|
||||
}
|
||||
regex_expr_collapsed += k_ucat_cpt.at(k_ucat_enum.at(pat));
|
||||
regex_expr_collapsed += k_ucat_map.at(k_ucat_enum.at(pat));
|
||||
if (!inside) {
|
||||
regex_expr_collapsed += ']';
|
||||
}
|
||||
i += 4;
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
regex_expr_collapsed += regex_expr[i];
|
||||
}
|
||||
|
||||
//printf("text_collapsed: %s\n", text_collapsed.c_str());
|
||||
//printf("regex_expr_collapsed: %s\n", regex_expr_collapsed.c_str());
|
||||
bpe_offsets = unicode_regex_split_stl(text_collapsed, regex_expr_collapsed, bpe_offsets);
|
||||
} else {
|
||||
// no unicode category used, we can use std::wregex directly
|
||||
const std::wstring wtext = unicode_wstring_from_utf8(text);
|
||||
const std::wstring wregex_expr = unicode_wstring_from_utf8(regex_expr);
|
||||
|
||||
//printf("text: %s\n", text.c_str());
|
||||
//printf("regex_expr: %s\n", regex_expr.c_str());
|
||||
bpe_offsets = unicode_regex_split_stl(wtext, wregex_expr, bpe_offsets);
|
||||
}
|
||||
} catch (std::regex_error & e) {
|
||||
fprintf(stderr, "Failed to process regex: '%s'\n", regex_expr.c_str());
|
||||
fprintf(stderr, "Regex error: %s\n", e.what());
|
||||
throw std::runtime_error("Failed to process regex");
|
||||
}
|
||||
}
|
||||
|
||||
std::vector<std::string> bpe_words;
|
||||
bpe_words.reserve(bpe_offsets.size()); // reserve memory for the approximate size
|
||||
|
||||
size_t start = 0;
|
||||
for (size_t & offset : bpe_offsets) {
|
||||
bpe_words.emplace_back();
|
||||
for (size_t i = start; i < start + offset; ++i) {
|
||||
bpe_words.back() += unicode_cpt_to_utf8(cpts[i]);
|
||||
}
|
||||
start += offset;
|
||||
}
|
||||
|
||||
return unicode_byte_encoding_process(bpe_words);
|
||||
}
|
@ -1,31 +1,463 @@
|
||||
#pragma once
|
||||
#pragma once
|
||||
|
||||
#include <cstdint>
|
||||
#include <cassert>
|
||||
#include <stdexcept>
|
||||
#include <string>
|
||||
#include <unordered_map>
|
||||
#include <vector>
|
||||
|
||||
static const std::vector<std::pair<uint32_t, uint32_t>> digit_ranges = {
|
||||
{0x30, 0x39}, {0xB2, 0xB3}, {0xB9, 0xB9}, {0x660, 0x669}, {0x6F0, 0x6F9}, {0x7C0, 0x7C9}, {0x966, 0x96F}, {0x9E6, 0x9EF}, {0xA66, 0xA6F}, {0xAE6, 0xAEF}, {0xB66, 0xB6F}, {0xBE6, 0xBEF}, {0xC66, 0xC6F},
|
||||
{0xCE6, 0xCEF}, {0xD66, 0xD6F}, {0xDE6, 0xDEF}, {0xE50, 0xE59}, {0xED0, 0xED9}, {0xF20, 0xF29}, {0x1040, 0x1049}, {0x1090, 0x1099}, {0x1369, 0x1371}, {0x17E0, 0x17E9}, {0x1810, 0x1819}, {0x1946, 0x194F},
|
||||
{0x19D0, 0x19DA}, {0x1A80, 0x1A89}, {0x1A90, 0x1A99}, {0x1B50, 0x1B59}, {0x1BB0, 0x1BB9}, {0x1C40, 0x1C49}, {0x1C50, 0x1C59}, {0x2070, 0x2070}, {0x2074, 0x2079}, {0x2080, 0x2089}, {0x2460, 0x2468},
|
||||
{0x2474, 0x247C}, {0x2488, 0x2490}, {0x24EA, 0x24EA}, {0x24F5, 0x24FD}, {0x24FF, 0x24FF}, {0x2776, 0x277E}, {0x2780, 0x2788}, {0x278A, 0x2792}, {0xA620, 0xA629}, {0xA8D0, 0xA8D9}, {0xA900, 0xA909},
|
||||
{0xA9D0, 0xA9D9}, {0xA9F0, 0xA9F9}, {0xAA50, 0xAA59}, {0xABF0, 0xABF9}, {0xFF10, 0xFF19}, {0x104A0, 0x104A9}, {0x10A40, 0x10A43}, {0x10D30, 0x10D39}, {0x10E60, 0x10E68}, {0x11052, 0x1105A},
|
||||
{0x11066, 0x1106F}, {0x110F0, 0x110F9}, {0x11136, 0x1113F}, {0x111D0, 0x111D9}, {0x112F0, 0x112F9}, {0x11450, 0x11459}, {0x114D0, 0x114D9}, {0x11650, 0x11659}, {0x116C0, 0x116C9}, {0x11730, 0x11739},
|
||||
{0x118E0, 0x118E9}, {0x11950, 0x11959}, {0x11C50, 0x11C59}, {0x11D50, 0x11D59}, {0x11DA0, 0x11DA9}, {0x16A60, 0x16A69}, {0x16B50, 0x16B59}, {0x1D7CE, 0x1D7FF}, {0x1E140, 0x1E149}, {0x1E2F0, 0x1E2F9},
|
||||
{0x1E950, 0x1E959}, {0x1F100, 0x1F10A}, {0x1FBF0, 0x1FBF9},
|
||||
};
|
||||
|
||||
static const std::vector<std::pair<uint32_t, uint32_t>> letter_ranges = {
|
||||
{0x41, 0x5A}, {0x61, 0x7A}, {0xAA, 0xAA}, {0xB5, 0xB5}, {0xBA, 0xBA}, {0xC0, 0xD6}, {0xD8, 0xF6}, {0xF8, 0x2C1}, {0x2C6, 0x2D1}, {0x2E0, 0x2E4}, {0x2EC, 0x2EC}, {0x2EE, 0x2EE}, {0x370, 0x374},
|
||||
{0x376, 0x377}, {0x37A, 0x37D}, {0x37F, 0x37F}, {0x386, 0x386}, {0x388, 0x38A}, {0x38C, 0x38C}, {0x38E, 0x3A1}, {0x3A3, 0x3F5}, {0x3F7, 0x481}, {0x48A, 0x52F}, {0x531, 0x556}, {0x559, 0x559},
|
||||
{0x560, 0x588}, {0x5D0, 0x5EA}, {0x5EF, 0x5F2}, {0x620, 0x64A}, {0x66E, 0x66F}, {0x671, 0x6D3}, {0x6D5, 0x6D5}, {0x6E5, 0x6E6}, {0x6EE, 0x6EF}, {0x6FA, 0x6FC}, {0x6FF, 0x6FF}, {0x710, 0x710},
|
||||
{0x712, 0x72F}, {0x74D, 0x7A5}, {0x7B1, 0x7B1}, {0x7CA, 0x7EA}, {0x7F4, 0x7F5}, {0x7FA, 0x7FA}, {0x800, 0x815}, {0x81A, 0x81A}, {0x824, 0x824}, {0x828, 0x828}, {0x840, 0x858}, {0x860, 0x86A},
|
||||
{0x8A0, 0x8B4}, {0x8B6, 0x8C7}, {0x904, 0x939}, {0x93D, 0x93D}, {0x950, 0x950}, {0x958, 0x961}, {0x971, 0x980}, {0x985, 0x98C}, {0x98F, 0x990}, {0x993, 0x9A8}, {0x9AA, 0x9B0}, {0x9B2, 0x9B2},
|
||||
{0x9B6, 0x9B9}, {0x9BD, 0x9BD}, {0x9CE, 0x9CE}, {0x9DC, 0x9DD}, {0x9DF, 0x9E1}, {0x9F0, 0x9F1}, {0x9FC, 0x9FC}, {0xA05, 0xA0A}, {0xA0F, 0xA10}, {0xA13, 0xA28}, {0xA2A, 0xA30}, {0xA32, 0xA33},
|
||||
{0xA35, 0xA36}, {0xA38, 0xA39}, {0xA59, 0xA5C}, {0xA5E, 0xA5E}, {0xA72, 0xA74}, {0xA85, 0xA8D}, {0xA8F, 0xA91}, {0xA93, 0xAA8}, {0xAAA, 0xAB0}, {0xAB2, 0xAB3}, {0xAB5, 0xAB9}, {0xABD, 0xABD},
|
||||
{0xAD0, 0xAD0}, {0xAE0, 0xAE1}, {0xAF9, 0xAF9}, {0xB05, 0xB0C}, {0xB0F, 0xB10}, {0xB13, 0xB28}, {0xB2A, 0xB30}, {0xB32, 0xB33}, {0xB35, 0xB39}, {0xB3D, 0xB3D}, {0xB5C, 0xB5D}, {0xB5F, 0xB61},
|
||||
{0xB71, 0xB71}, {0xB83, 0xB83}, {0xB85, 0xB8A}, {0xB8E, 0xB90}, {0xB92, 0xB95}, {0xB99, 0xB9A}, {0xB9C, 0xB9C}, {0xB9E, 0xB9F}, {0xBA3, 0xBA4}, {0xBA8, 0xBAA}, {0xBAE, 0xBB9}, {0xBD0, 0xBD0},
|
||||
{0xC05, 0xC0C}, {0xC0E, 0xC10}, {0xC12, 0xC28}, {0xC2A, 0xC39}, {0xC3D, 0xC3D}, {0xC58, 0xC5A}, {0xC60, 0xC61}, {0xC80, 0xC80}, {0xC85, 0xC8C}, {0xC8E, 0xC90}, {0xC92, 0xCA8}, {0xCAA, 0xCB3},
|
||||
{0xCB5, 0xCB9}, {0xCBD, 0xCBD}, {0xCDE, 0xCDE}, {0xCE0, 0xCE1}, {0xCF1, 0xCF2}, {0xD04, 0xD0C}, {0xD0E, 0xD10}, {0xD12, 0xD3A}, {0xD3D, 0xD3D}, {0xD4E, 0xD4E}, {0xD54, 0xD56}, {0xD5F, 0xD61},
|
||||
{0xD7A, 0xD7F}, {0xD85, 0xD96}, {0xD9A, 0xDB1}, {0xDB3, 0xDBB}, {0xDBD, 0xDBD}, {0xDC0, 0xDC6}, {0xE01, 0xE30}, {0xE32, 0xE33}, {0xE40, 0xE46}, {0xE81, 0xE82}, {0xE84, 0xE84}, {0xE86, 0xE8A},
|
||||
{0xE8C, 0xEA3}, {0xEA5, 0xEA5}, {0xEA7, 0xEB0}, {0xEB2, 0xEB3}, {0xEBD, 0xEBD}, {0xEC0, 0xEC4}, {0xEC6, 0xEC6}, {0xEDC, 0xEDF}, {0xF00, 0xF00}, {0xF40, 0xF47}, {0xF49, 0xF6C}, {0xF88, 0xF8C},
|
||||
{0x1000, 0x102A}, {0x103F, 0x103F}, {0x1050, 0x1055}, {0x105A, 0x105D}, {0x1061, 0x1061}, {0x1065, 0x1066}, {0x106E, 0x1070}, {0x1075, 0x1081}, {0x108E, 0x108E}, {0x10A0, 0x10C5}, {0x10C7, 0x10C7},
|
||||
{0x10CD, 0x10CD}, {0x10D0, 0x10FA}, {0x10FC, 0x1248}, {0x124A, 0x124D}, {0x1250, 0x1256}, {0x1258, 0x1258}, {0x125A, 0x125D}, {0x1260, 0x1288}, {0x128A, 0x128D}, {0x1290, 0x12B0}, {0x12B2, 0x12B5},
|
||||
{0x12B8, 0x12BE}, {0x12C0, 0x12C0}, {0x12C2, 0x12C5}, {0x12C8, 0x12D6}, {0x12D8, 0x1310}, {0x1312, 0x1315}, {0x1318, 0x135A}, {0x1380, 0x138F}, {0x13A0, 0x13F5}, {0x13F8, 0x13FD}, {0x1401, 0x166C},
|
||||
{0x166F, 0x167F}, {0x1681, 0x169A}, {0x16A0, 0x16EA}, {0x16F1, 0x16F8}, {0x1700, 0x170C}, {0x170E, 0x1711}, {0x1720, 0x1731}, {0x1740, 0x1751}, {0x1760, 0x176C}, {0x176E, 0x1770}, {0x1780, 0x17B3},
|
||||
{0x17D7, 0x17D7}, {0x17DC, 0x17DC}, {0x1820, 0x1878}, {0x1880, 0x1884}, {0x1887, 0x18A8}, {0x18AA, 0x18AA}, {0x18B0, 0x18F5}, {0x1900, 0x191E}, {0x1950, 0x196D}, {0x1970, 0x1974}, {0x1980, 0x19AB},
|
||||
{0x19B0, 0x19C9}, {0x1A00, 0x1A16}, {0x1A20, 0x1A54}, {0x1AA7, 0x1AA7}, {0x1B05, 0x1B33}, {0x1B45, 0x1B4B}, {0x1B83, 0x1BA0}, {0x1BAE, 0x1BAF}, {0x1BBA, 0x1BE5}, {0x1C00, 0x1C23}, {0x1C4D, 0x1C4F},
|
||||
{0x1C5A, 0x1C7D}, {0x1C80, 0x1C88}, {0x1C90, 0x1CBA}, {0x1CBD, 0x1CBF}, {0x1CE9, 0x1CEC}, {0x1CEE, 0x1CF3}, {0x1CF5, 0x1CF6}, {0x1CFA, 0x1CFA}, {0x1D00, 0x1DBF}, {0x1E00, 0x1F15}, {0x1F18, 0x1F1D},
|
||||
{0x1F20, 0x1F45}, {0x1F48, 0x1F4D}, {0x1F50, 0x1F57}, {0x1F59, 0x1F59}, {0x1F5B, 0x1F5B}, {0x1F5D, 0x1F5D}, {0x1F5F, 0x1F7D}, {0x1F80, 0x1FB4}, {0x1FB6, 0x1FBC}, {0x1FBE, 0x1FBE}, {0x1FC2, 0x1FC4},
|
||||
{0x1FC6, 0x1FCC}, {0x1FD0, 0x1FD3}, {0x1FD6, 0x1FDB}, {0x1FE0, 0x1FEC}, {0x1FF2, 0x1FF4}, {0x1FF6, 0x1FFC}, {0x2071, 0x2071}, {0x207F, 0x207F}, {0x2090, 0x209C}, {0x2102, 0x2102}, {0x2107, 0x2107},
|
||||
{0x210A, 0x2113}, {0x2115, 0x2115}, {0x2119, 0x211D}, {0x2124, 0x2124}, {0x2126, 0x2126}, {0x2128, 0x2128}, {0x212A, 0x212D}, {0x212F, 0x2139}, {0x213C, 0x213F}, {0x2145, 0x2149}, {0x214E, 0x214E},
|
||||
{0x2183, 0x2184}, {0x2C00, 0x2C2E}, {0x2C30, 0x2C5E}, {0x2C60, 0x2CE4}, {0x2CEB, 0x2CEE}, {0x2CF2, 0x2CF3}, {0x2D00, 0x2D25}, {0x2D27, 0x2D27}, {0x2D2D, 0x2D2D}, {0x2D30, 0x2D67}, {0x2D6F, 0x2D6F},
|
||||
{0x2D80, 0x2D96}, {0x2DA0, 0x2DA6}, {0x2DA8, 0x2DAE}, {0x2DB0, 0x2DB6}, {0x2DB8, 0x2DBE}, {0x2DC0, 0x2DC6}, {0x2DC8, 0x2DCE}, {0x2DD0, 0x2DD6}, {0x2DD8, 0x2DDE}, {0x2E2F, 0x2E2F}, {0x3005, 0x3006},
|
||||
{0x3031, 0x3035}, {0x303B, 0x303C}, {0x3041, 0x3096}, {0x309D, 0x309F}, {0x30A1, 0x30FA}, {0x30FC, 0x30FF}, {0x3105, 0x312F}, {0x3131, 0x318E}, {0x31A0, 0x31BF}, {0x31F0, 0x31FF}, {0x3400, 0x4DBF},
|
||||
{0x4E00, 0x9FFC}, {0xA000, 0xA48C}, {0xA4D0, 0xA4FD}, {0xA500, 0xA60C}, {0xA610, 0xA61F}, {0xA62A, 0xA62B}, {0xA640, 0xA66E}, {0xA67F, 0xA69D}, {0xA6A0, 0xA6E5}, {0xA717, 0xA71F}, {0xA722, 0xA788},
|
||||
{0xA78B, 0xA7BF}, {0xA7C2, 0xA7CA}, {0xA7F5, 0xA801}, {0xA803, 0xA805}, {0xA807, 0xA80A}, {0xA80C, 0xA822}, {0xA840, 0xA873}, {0xA882, 0xA8B3}, {0xA8F2, 0xA8F7}, {0xA8FB, 0xA8FB}, {0xA8FD, 0xA8FE},
|
||||
{0xA90A, 0xA925}, {0xA930, 0xA946}, {0xA960, 0xA97C}, {0xA984, 0xA9B2}, {0xA9CF, 0xA9CF}, {0xA9E0, 0xA9E4}, {0xA9E6, 0xA9EF}, {0xA9FA, 0xA9FE}, {0xAA00, 0xAA28}, {0xAA40, 0xAA42}, {0xAA44, 0xAA4B},
|
||||
{0xAA60, 0xAA76}, {0xAA7A, 0xAA7A}, {0xAA7E, 0xAAAF}, {0xAAB1, 0xAAB1}, {0xAAB5, 0xAAB6}, {0xAAB9, 0xAABD}, {0xAAC0, 0xAAC0}, {0xAAC2, 0xAAC2}, {0xAADB, 0xAADD}, {0xAAE0, 0xAAEA}, {0xAAF2, 0xAAF4},
|
||||
{0xAB01, 0xAB06}, {0xAB09, 0xAB0E}, {0xAB11, 0xAB16}, {0xAB20, 0xAB26}, {0xAB28, 0xAB2E}, {0xAB30, 0xAB5A}, {0xAB5C, 0xAB69}, {0xAB70, 0xABE2}, {0xAC00, 0xD7A3}, {0xD7B0, 0xD7C6}, {0xD7CB, 0xD7FB},
|
||||
{0xF900, 0xFA6D}, {0xFA70, 0xFAD9}, {0xFB00, 0xFB06}, {0xFB13, 0xFB17}, {0xFB1D, 0xFB1D}, {0xFB1F, 0xFB28}, {0xFB2A, 0xFB36}, {0xFB38, 0xFB3C}, {0xFB3E, 0xFB3E}, {0xFB40, 0xFB41}, {0xFB43, 0xFB44},
|
||||
{0xFB46, 0xFBB1}, {0xFBD3, 0xFD3D}, {0xFD50, 0xFD8F}, {0xFD92, 0xFDC7}, {0xFDF0, 0xFDFB}, {0xFE70, 0xFE74}, {0xFE76, 0xFEFC}, {0xFF21, 0xFF3A}, {0xFF41, 0xFF5A}, {0xFF66, 0xFFBE}, {0xFFC2, 0xFFC7},
|
||||
{0xFFCA, 0xFFCF}, {0xFFD2, 0xFFD7}, {0xFFDA, 0xFFDC}, {0x10000, 0x1000B}, {0x1000D, 0x10026}, {0x10028, 0x1003A}, {0x1003C, 0x1003D}, {0x1003F, 0x1004D}, {0x10050, 0x1005D}, {0x10080, 0x100FA},
|
||||
{0x10280, 0x1029C}, {0x102A0, 0x102D0}, {0x10300, 0x1031F}, {0x1032D, 0x10340}, {0x10342, 0x10349}, {0x10350, 0x10375}, {0x10380, 0x1039D}, {0x103A0, 0x103C3}, {0x103C8, 0x103CF}, {0x10400, 0x1049D},
|
||||
{0x104B0, 0x104D3}, {0x104D8, 0x104FB}, {0x10500, 0x10527}, {0x10530, 0x10563}, {0x10600, 0x10736}, {0x10740, 0x10755}, {0x10760, 0x10767}, {0x10800, 0x10805}, {0x10808, 0x10808}, {0x1080A, 0x10835},
|
||||
{0x10837, 0x10838}, {0x1083C, 0x1083C}, {0x1083F, 0x10855}, {0x10860, 0x10876}, {0x10880, 0x1089E}, {0x108E0, 0x108F2}, {0x108F4, 0x108F5}, {0x10900, 0x10915}, {0x10920, 0x10939}, {0x10980, 0x109B7},
|
||||
{0x109BE, 0x109BF}, {0x10A00, 0x10A00}, {0x10A10, 0x10A13}, {0x10A15, 0x10A17}, {0x10A19, 0x10A35}, {0x10A60, 0x10A7C}, {0x10A80, 0x10A9C}, {0x10AC0, 0x10AC7}, {0x10AC9, 0x10AE4}, {0x10B00, 0x10B35},
|
||||
{0x10B40, 0x10B55}, {0x10B60, 0x10B72}, {0x10B80, 0x10B91}, {0x10C00, 0x10C48}, {0x10C80, 0x10CB2}, {0x10CC0, 0x10CF2}, {0x10D00, 0x10D23}, {0x10E80, 0x10EA9}, {0x10EB0, 0x10EB1}, {0x10F00, 0x10F1C},
|
||||
{0x10F27, 0x10F27}, {0x10F30, 0x10F45}, {0x10FB0, 0x10FC4}, {0x10FE0, 0x10FF6}, {0x11003, 0x11037}, {0x11083, 0x110AF}, {0x110D0, 0x110E8}, {0x11103, 0x11126}, {0x11144, 0x11144}, {0x11147, 0x11147},
|
||||
{0x11150, 0x11172}, {0x11176, 0x11176}, {0x11183, 0x111B2}, {0x111C1, 0x111C4}, {0x111DA, 0x111DA}, {0x111DC, 0x111DC}, {0x11200, 0x11211}, {0x11213, 0x1122B}, {0x11280, 0x11286}, {0x11288, 0x11288},
|
||||
{0x1128A, 0x1128D}, {0x1128F, 0x1129D}, {0x1129F, 0x112A8}, {0x112B0, 0x112DE}, {0x11305, 0x1130C}, {0x1130F, 0x11310}, {0x11313, 0x11328}, {0x1132A, 0x11330}, {0x11332, 0x11333}, {0x11335, 0x11339},
|
||||
{0x1133D, 0x1133D}, {0x11350, 0x11350}, {0x1135D, 0x11361}, {0x11400, 0x11434}, {0x11447, 0x1144A}, {0x1145F, 0x11461}, {0x11480, 0x114AF}, {0x114C4, 0x114C5}, {0x114C7, 0x114C7}, {0x11580, 0x115AE},
|
||||
{0x115D8, 0x115DB}, {0x11600, 0x1162F}, {0x11644, 0x11644}, {0x11680, 0x116AA}, {0x116B8, 0x116B8}, {0x11700, 0x1171A}, {0x11800, 0x1182B}, {0x118A0, 0x118DF}, {0x118FF, 0x11906}, {0x11909, 0x11909},
|
||||
{0x1190C, 0x11913}, {0x11915, 0x11916}, {0x11918, 0x1192F}, {0x1193F, 0x1193F}, {0x11941, 0x11941}, {0x119A0, 0x119A7}, {0x119AA, 0x119D0}, {0x119E1, 0x119E1}, {0x119E3, 0x119E3}, {0x11A00, 0x11A00},
|
||||
{0x11A0B, 0x11A32}, {0x11A3A, 0x11A3A}, {0x11A50, 0x11A50}, {0x11A5C, 0x11A89}, {0x11A9D, 0x11A9D}, {0x11AC0, 0x11AF8}, {0x11C00, 0x11C08}, {0x11C0A, 0x11C2E}, {0x11C40, 0x11C40}, {0x11C72, 0x11C8F},
|
||||
{0x11D00, 0x11D06}, {0x11D08, 0x11D09}, {0x11D0B, 0x11D30}, {0x11D46, 0x11D46}, {0x11D60, 0x11D65}, {0x11D67, 0x11D68}, {0x11D6A, 0x11D89}, {0x11D98, 0x11D98}, {0x11EE0, 0x11EF2}, {0x11FB0, 0x11FB0},
|
||||
{0x12000, 0x12399}, {0x12480, 0x12543}, {0x13000, 0x1342E}, {0x14400, 0x14646}, {0x16800, 0x16A38}, {0x16A40, 0x16A5E}, {0x16AD0, 0x16AED}, {0x16B00, 0x16B2F}, {0x16B40, 0x16B43}, {0x16B63, 0x16B77},
|
||||
{0x16B7D, 0x16B8F}, {0x16E40, 0x16E7F}, {0x16F00, 0x16F4A}, {0x16F50, 0x16F50}, {0x16F93, 0x16F9F}, {0x16FE0, 0x16FE1}, {0x16FE3, 0x16FE3}, {0x17000, 0x187F7}, {0x18800, 0x18CD5}, {0x18D00, 0x18D08},
|
||||
{0x1B000, 0x1B11E}, {0x1B150, 0x1B152}, {0x1B164, 0x1B167}, {0x1B170, 0x1B2FB}, {0x1BC00, 0x1BC6A}, {0x1BC70, 0x1BC7C}, {0x1BC80, 0x1BC88}, {0x1BC90, 0x1BC99}, {0x1D400, 0x1D454}, {0x1D456, 0x1D49C},
|
||||
{0x1D49E, 0x1D49F}, {0x1D4A2, 0x1D4A2}, {0x1D4A5, 0x1D4A6}, {0x1D4A9, 0x1D4AC}, {0x1D4AE, 0x1D4B9}, {0x1D4BB, 0x1D4BB}, {0x1D4BD, 0x1D4C3}, {0x1D4C5, 0x1D505}, {0x1D507, 0x1D50A}, {0x1D50D, 0x1D514},
|
||||
{0x1D516, 0x1D51C}, {0x1D51E, 0x1D539}, {0x1D53B, 0x1D53E}, {0x1D540, 0x1D544}, {0x1D546, 0x1D546}, {0x1D54A, 0x1D550}, {0x1D552, 0x1D6A5}, {0x1D6A8, 0x1D6C0}, {0x1D6C2, 0x1D6DA}, {0x1D6DC, 0x1D6FA},
|
||||
{0x1D6FC, 0x1D714}, {0x1D716, 0x1D734}, {0x1D736, 0x1D74E}, {0x1D750, 0x1D76E}, {0x1D770, 0x1D788}, {0x1D78A, 0x1D7A8}, {0x1D7AA, 0x1D7C2}, {0x1D7C4, 0x1D7CB}, {0x1E100, 0x1E12C}, {0x1E137, 0x1E13D},
|
||||
{0x1E14E, 0x1E14E}, {0x1E2C0, 0x1E2EB}, {0x1E800, 0x1E8C4}, {0x1E900, 0x1E943}, {0x1E94B, 0x1E94B}, {0x1EE00, 0x1EE03}, {0x1EE05, 0x1EE1F}, {0x1EE21, 0x1EE22}, {0x1EE24, 0x1EE24}, {0x1EE27, 0x1EE27},
|
||||
{0x1EE29, 0x1EE32}, {0x1EE34, 0x1EE37}, {0x1EE39, 0x1EE39}, {0x1EE3B, 0x1EE3B}, {0x1EE42, 0x1EE42}, {0x1EE47, 0x1EE47}, {0x1EE49, 0x1EE49}, {0x1EE4B, 0x1EE4B}, {0x1EE4D, 0x1EE4F}, {0x1EE51, 0x1EE52},
|
||||
{0x1EE54, 0x1EE54}, {0x1EE57, 0x1EE57}, {0x1EE59, 0x1EE59}, {0x1EE5B, 0x1EE5B}, {0x1EE5D, 0x1EE5D}, {0x1EE5F, 0x1EE5F}, {0x1EE61, 0x1EE62}, {0x1EE64, 0x1EE64}, {0x1EE67, 0x1EE6A}, {0x1EE6C, 0x1EE72},
|
||||
{0x1EE74, 0x1EE77}, {0x1EE79, 0x1EE7C}, {0x1EE7E, 0x1EE7E}, {0x1EE80, 0x1EE89}, {0x1EE8B, 0x1EE9B}, {0x1EEA1, 0x1EEA3}, {0x1EEA5, 0x1EEA9}, {0x1EEAB, 0x1EEBB}, {0x20000, 0x2A6DD}, {0x2A700, 0x2B734},
|
||||
{0x2B740, 0x2B81D}, {0x2B820, 0x2CEA1}, {0x2CEB0, 0x2EBE0}, {0x2F800, 0x2FA1D}, {0x30000, 0x3134A},
|
||||
};
|
||||
|
||||
static const std::vector<std::pair<uint32_t, uint32_t>> whitespace_ranges = {
|
||||
{0x9, 0xD}, {0x1C, 0x20}, {0x85, 0x85}, {0xA0, 0xA0}, {0x1680, 0x1680}, {0x2000, 0x200A}, {0x2028, 0x2029}, {0x202F, 0x202F}, {0x205F, 0x205F}, {0x3000, 0x3000},
|
||||
};
|
||||
|
||||
static const std::vector<std::pair<uint32_t, uint32_t>> accent_mark_ranges = {
|
||||
{0x300, 0x36F}, {0x483, 0x489}, {0x591, 0x5BD}, {0x5BF, 0x5BF}, {0x5C1, 0x5C2}, {0x5C4, 0x5C5}, {0x5C7, 0x5C7}, {0x610, 0x61A}, {0x64B, 0x65F}, {0x670, 0x670}, {0x6D6, 0x6DC}, {0x6DF, 0x6E4},
|
||||
{0x6E7, 0x6E8}, {0x6EA, 0x6ED}, {0x711, 0x711}, {0x730, 0x74A}, {0x7A6, 0x7B0}, {0x7EB, 0x7F3}, {0x7FD, 0x7FD}, {0x816, 0x819}, {0x81B, 0x823}, {0x825, 0x827}, {0x829, 0x82D}, {0x859, 0x85B},
|
||||
{0x8D3, 0x8E1}, {0x8E3, 0x903}, {0x93A, 0x93C}, {0x93E, 0x94F}, {0x951, 0x957}, {0x962, 0x963}, {0x981, 0x983}, {0x9BC, 0x9BC}, {0x9BE, 0x9C4}, {0x9C7, 0x9C8}, {0x9CB, 0x9CD}, {0x9D7, 0x9D7},
|
||||
{0x9E2, 0x9E3}, {0x9FE, 0x9FE}, {0xA01, 0xA03}, {0xA3C, 0xA3C}, {0xA3E, 0xA42}, {0xA47, 0xA48}, {0xA4B, 0xA4D}, {0xA51, 0xA51}, {0xA70, 0xA71}, {0xA75, 0xA75}, {0xA81, 0xA83}, {0xABC, 0xABC},
|
||||
{0xABE, 0xAC5}, {0xAC7, 0xAC9}, {0xACB, 0xACD}, {0xAE2, 0xAE3}, {0xAFA, 0xAFF}, {0xB01, 0xB03}, {0xB3C, 0xB3C}, {0xB3E, 0xB44}, {0xB47, 0xB48}, {0xB4B, 0xB4D}, {0xB55, 0xB57}, {0xB62, 0xB63},
|
||||
{0xB82, 0xB82}, {0xBBE, 0xBC2}, {0xBC6, 0xBC8}, {0xBCA, 0xBCD}, {0xBD7, 0xBD7}, {0xC00, 0xC04}, {0xC3E, 0xC44}, {0xC46, 0xC48}, {0xC4A, 0xC4D}, {0xC55, 0xC56}, {0xC62, 0xC63}, {0xC81, 0xC83},
|
||||
{0xCBC, 0xCBC}, {0xCBE, 0xCC4}, {0xCC6, 0xCC8}, {0xCCA, 0xCCD}, {0xCD5, 0xCD6}, {0xCE2, 0xCE3}, {0xD00, 0xD03}, {0xD3B, 0xD3C}, {0xD3E, 0xD44}, {0xD46, 0xD48}, {0xD4A, 0xD4D}, {0xD57, 0xD57},
|
||||
{0xD62, 0xD63}, {0xD81, 0xD83}, {0xDCA, 0xDCA}, {0xDCF, 0xDD4}, {0xDD6, 0xDD6}, {0xDD8, 0xDDF}, {0xDF2, 0xDF3}, {0xE31, 0xE31}, {0xE34, 0xE3A}, {0xE47, 0xE4E}, {0xEB1, 0xEB1}, {0xEB4, 0xEBC},
|
||||
{0xEC8, 0xECD}, {0xF18, 0xF19}, {0xF35, 0xF35}, {0xF37, 0xF37}, {0xF39, 0xF39}, {0xF3E, 0xF3F}, {0xF71, 0xF84}, {0xF86, 0xF87}, {0xF8D, 0xF97}, {0xF99, 0xFBC}, {0xFC6, 0xFC6}, {0x102B, 0x103E},
|
||||
{0x1056, 0x1059}, {0x105E, 0x1060}, {0x1062, 0x1064}, {0x1067, 0x106D}, {0x1071, 0x1074}, {0x1082, 0x108D}, {0x108F, 0x108F}, {0x109A, 0x109D}, {0x135D, 0x135F}, {0x1712, 0x1714}, {0x1732, 0x1734},
|
||||
{0x1752, 0x1753}, {0x1772, 0x1773}, {0x17B4, 0x17D3}, {0x17DD, 0x17DD}, {0x180B, 0x180D}, {0x1885, 0x1886}, {0x18A9, 0x18A9}, {0x1920, 0x192B}, {0x1930, 0x193B}, {0x1A17, 0x1A1B}, {0x1A55, 0x1A5E},
|
||||
{0x1A60, 0x1A7C}, {0x1A7F, 0x1A7F}, {0x1AB0, 0x1AC0}, {0x1B00, 0x1B04}, {0x1B34, 0x1B44}, {0x1B6B, 0x1B73}, {0x1B80, 0x1B82}, {0x1BA1, 0x1BAD}, {0x1BE6, 0x1BF3}, {0x1C24, 0x1C37}, {0x1CD0, 0x1CD2},
|
||||
{0x1CD4, 0x1CE8}, {0x1CED, 0x1CED}, {0x1CF4, 0x1CF4}, {0x1CF7, 0x1CF9}, {0x1DC0, 0x1DF9}, {0x1DFB, 0x1DFF}, {0x20D0, 0x20F0}, {0x2CEF, 0x2CF1}, {0x2D7F, 0x2D7F}, {0x2DE0, 0x2DFF}, {0x302A, 0x302F},
|
||||
{0x3099, 0x309A}, {0xA66F, 0xA672}, {0xA674, 0xA67D}, {0xA69E, 0xA69F}, {0xA6F0, 0xA6F1}, {0xA802, 0xA802}, {0xA806, 0xA806}, {0xA80B, 0xA80B}, {0xA823, 0xA827}, {0xA82C, 0xA82C}, {0xA880, 0xA881},
|
||||
{0xA8B4, 0xA8C5}, {0xA8E0, 0xA8F1}, {0xA8FF, 0xA8FF}, {0xA926, 0xA92D}, {0xA947, 0xA953}, {0xA980, 0xA983}, {0xA9B3, 0xA9C0}, {0xA9E5, 0xA9E5}, {0xAA29, 0xAA36}, {0xAA43, 0xAA43}, {0xAA4C, 0xAA4D},
|
||||
{0xAA7B, 0xAA7D}, {0xAAB0, 0xAAB0}, {0xAAB2, 0xAAB4}, {0xAAB7, 0xAAB8}, {0xAABE, 0xAABF}, {0xAAC1, 0xAAC1}, {0xAAEB, 0xAAEF}, {0xAAF5, 0xAAF6}, {0xABE3, 0xABEA}, {0xABEC, 0xABED}, {0xFB1E, 0xFB1E},
|
||||
{0xFE00, 0xFE0F}, {0xFE20, 0xFE2F}, {0x101FD, 0x101FD}, {0x102E0, 0x102E0}, {0x10376, 0x1037A}, {0x10A01, 0x10A03}, {0x10A05, 0x10A06}, {0x10A0C, 0x10A0F}, {0x10A38, 0x10A3A}, {0x10A3F, 0x10A3F},
|
||||
{0x10AE5, 0x10AE6}, {0x10D24, 0x10D27}, {0x10EAB, 0x10EAC}, {0x10F46, 0x10F50}, {0x11000, 0x11002}, {0x11038, 0x11046}, {0x1107F, 0x11082}, {0x110B0, 0x110BA}, {0x11100, 0x11102}, {0x11127, 0x11134},
|
||||
{0x11145, 0x11146}, {0x11173, 0x11173}, {0x11180, 0x11182}, {0x111B3, 0x111C0}, {0x111C9, 0x111CC}, {0x111CE, 0x111CF}, {0x1122C, 0x11237}, {0x1123E, 0x1123E}, {0x112DF, 0x112EA}, {0x11300, 0x11303},
|
||||
{0x1133B, 0x1133C}, {0x1133E, 0x11344}, {0x11347, 0x11348}, {0x1134B, 0x1134D}, {0x11357, 0x11357}, {0x11362, 0x11363}, {0x11366, 0x1136C}, {0x11370, 0x11374}, {0x11435, 0x11446}, {0x1145E, 0x1145E},
|
||||
{0x114B0, 0x114C3}, {0x115AF, 0x115B5}, {0x115B8, 0x115C0}, {0x115DC, 0x115DD}, {0x11630, 0x11640}, {0x116AB, 0x116B7}, {0x1171D, 0x1172B}, {0x1182C, 0x1183A}, {0x11930, 0x11935}, {0x11937, 0x11938},
|
||||
{0x1193B, 0x1193E}, {0x11940, 0x11940}, {0x11942, 0x11943}, {0x119D1, 0x119D7}, {0x119DA, 0x119E0}, {0x119E4, 0x119E4}, {0x11A01, 0x11A0A}, {0x11A33, 0x11A39}, {0x11A3B, 0x11A3E}, {0x11A47, 0x11A47},
|
||||
{0x11A51, 0x11A5B}, {0x11A8A, 0x11A99}, {0x11C2F, 0x11C36}, {0x11C38, 0x11C3F}, {0x11C92, 0x11CA7}, {0x11CA9, 0x11CB6}, {0x11D31, 0x11D36}, {0x11D3A, 0x11D3A}, {0x11D3C, 0x11D3D}, {0x11D3F, 0x11D45},
|
||||
{0x11D47, 0x11D47}, {0x11D8A, 0x11D8E}, {0x11D90, 0x11D91}, {0x11D93, 0x11D97}, {0x11EF3, 0x11EF6}, {0x16AF0, 0x16AF4}, {0x16B30, 0x16B36}, {0x16F4F, 0x16F4F}, {0x16F51, 0x16F87}, {0x16F8F, 0x16F92},
|
||||
{0x16FE4, 0x16FE4}, {0x16FF0, 0x16FF1}, {0x1BC9D, 0x1BC9E}, {0x1D165, 0x1D169}, {0x1D16D, 0x1D172}, {0x1D17B, 0x1D182}, {0x1D185, 0x1D18B}, {0x1D1AA, 0x1D1AD}, {0x1D242, 0x1D244}, {0x1DA00, 0x1DA36},
|
||||
{0x1DA3B, 0x1DA6C}, {0x1DA75, 0x1DA75}, {0x1DA84, 0x1DA84}, {0x1DA9B, 0x1DA9F}, {0x1DAA1, 0x1DAAF}, {0x1E000, 0x1E006}, {0x1E008, 0x1E018}, {0x1E01B, 0x1E021}, {0x1E023, 0x1E024}, {0x1E026, 0x1E02A},
|
||||
{0x1E130, 0x1E136}, {0x1E2EC, 0x1E2EF}, {0x1E8D0, 0x1E8D6}, {0x1E944, 0x1E94A}, {0xE0100, 0xE01EF},
|
||||
};
|
||||
|
||||
static const std::vector<std::pair<uint32_t, uint32_t>> punctuation_ranges = {
|
||||
{0x21, 0x23}, {0x25, 0x2A}, {0x2C, 0x2F}, {0x3A, 0x3B}, {0x3F, 0x40}, {0x5B, 0x5D}, {0x5F, 0x5F}, {0x7B, 0x7B}, {0x7D, 0x7D}, {0xA1, 0xA1}, {0xA7, 0xA7}, {0xAB, 0xAB}, {0xB6, 0xB7}, {0xBB, 0xBB},
|
||||
{0xBF, 0xBF}, {0x37E, 0x37E}, {0x387, 0x387}, {0x55A, 0x55F}, {0x589, 0x58A}, {0x5BE, 0x5BE}, {0x5C0, 0x5C0}, {0x5C3, 0x5C3}, {0x5C6, 0x5C6}, {0x5F3, 0x5F4}, {0x609, 0x60A}, {0x60C, 0x60D},
|
||||
{0x61B, 0x61B}, {0x61E, 0x61F}, {0x66A, 0x66D}, {0x6D4, 0x6D4}, {0x700, 0x70D}, {0x7F7, 0x7F9}, {0x830, 0x83E}, {0x85E, 0x85E}, {0x964, 0x965}, {0x970, 0x970}, {0x9FD, 0x9FD}, {0xA76, 0xA76},
|
||||
{0xAF0, 0xAF0}, {0xC77, 0xC77}, {0xC84, 0xC84}, {0xDF4, 0xDF4}, {0xE4F, 0xE4F}, {0xE5A, 0xE5B}, {0xF04, 0xF12}, {0xF14, 0xF14}, {0xF3A, 0xF3D}, {0xF85, 0xF85}, {0xFD0, 0xFD4}, {0xFD9, 0xFDA},
|
||||
{0x104A, 0x104F}, {0x10FB, 0x10FB}, {0x1360, 0x1368}, {0x1400, 0x1400}, {0x166E, 0x166E}, {0x169B, 0x169C}, {0x16EB, 0x16ED}, {0x1735, 0x1736}, {0x17D4, 0x17D6}, {0x17D8, 0x17DA}, {0x1800, 0x180A},
|
||||
{0x1944, 0x1945}, {0x1A1E, 0x1A1F}, {0x1AA0, 0x1AA6}, {0x1AA8, 0x1AAD}, {0x1B5A, 0x1B60}, {0x1BFC, 0x1BFF}, {0x1C3B, 0x1C3F}, {0x1C7E, 0x1C7F}, {0x1CC0, 0x1CC7}, {0x1CD3, 0x1CD3}, {0x2010, 0x2027},
|
||||
{0x2030, 0x2043}, {0x2045, 0x2051}, {0x2053, 0x205E}, {0x207D, 0x207E}, {0x208D, 0x208E}, {0x2308, 0x230B}, {0x2329, 0x232A}, {0x2768, 0x2775}, {0x27C5, 0x27C6}, {0x27E6, 0x27EF}, {0x2983, 0x2998},
|
||||
{0x29D8, 0x29DB}, {0x29FC, 0x29FD}, {0x2CF9, 0x2CFC}, {0x2CFE, 0x2CFF}, {0x2D70, 0x2D70}, {0x2E00, 0x2E2E}, {0x2E30, 0x2E4F}, {0x2E52, 0x2E52}, {0x3001, 0x3003}, {0x3008, 0x3011}, {0x3014, 0x301F},
|
||||
{0x3030, 0x3030}, {0x303D, 0x303D}, {0x30A0, 0x30A0}, {0x30FB, 0x30FB}, {0xA4FE, 0xA4FF}, {0xA60D, 0xA60F}, {0xA673, 0xA673}, {0xA67E, 0xA67E}, {0xA6F2, 0xA6F7}, {0xA874, 0xA877}, {0xA8CE, 0xA8CF},
|
||||
{0xA8F8, 0xA8FA}, {0xA8FC, 0xA8FC}, {0xA92E, 0xA92F}, {0xA95F, 0xA95F}, {0xA9C1, 0xA9CD}, {0xA9DE, 0xA9DF}, {0xAA5C, 0xAA5F}, {0xAADE, 0xAADF}, {0xAAF0, 0xAAF1}, {0xABEB, 0xABEB}, {0xFD3E, 0xFD3F},
|
||||
{0xFE10, 0xFE19}, {0xFE30, 0xFE52}, {0xFE54, 0xFE61}, {0xFE63, 0xFE63}, {0xFE68, 0xFE68}, {0xFE6A, 0xFE6B}, {0xFF01, 0xFF03}, {0xFF05, 0xFF0A}, {0xFF0C, 0xFF0F}, {0xFF1A, 0xFF1B}, {0xFF1F, 0xFF20},
|
||||
{0xFF3B, 0xFF3D}, {0xFF3F, 0xFF3F}, {0xFF5B, 0xFF5B}, {0xFF5D, 0xFF5D}, {0xFF5F, 0xFF65}, {0x10100, 0x10102}, {0x1039F, 0x1039F}, {0x103D0, 0x103D0}, {0x1056F, 0x1056F}, {0x10857, 0x10857},
|
||||
{0x1091F, 0x1091F}, {0x1093F, 0x1093F}, {0x10A50, 0x10A58}, {0x10A7F, 0x10A7F}, {0x10AF0, 0x10AF6}, {0x10B39, 0x10B3F}, {0x10B99, 0x10B9C}, {0x10EAD, 0x10EAD}, {0x10F55, 0x10F59}, {0x11047, 0x1104D},
|
||||
{0x110BB, 0x110BC}, {0x110BE, 0x110C1}, {0x11140, 0x11143}, {0x11174, 0x11175}, {0x111C5, 0x111C8}, {0x111CD, 0x111CD}, {0x111DB, 0x111DB}, {0x111DD, 0x111DF}, {0x11238, 0x1123D}, {0x112A9, 0x112A9},
|
||||
{0x1144B, 0x1144F}, {0x1145A, 0x1145B}, {0x1145D, 0x1145D}, {0x114C6, 0x114C6}, {0x115C1, 0x115D7}, {0x11641, 0x11643}, {0x11660, 0x1166C}, {0x1173C, 0x1173E}, {0x1183B, 0x1183B}, {0x11944, 0x11946},
|
||||
{0x119E2, 0x119E2}, {0x11A3F, 0x11A46}, {0x11A9A, 0x11A9C}, {0x11A9E, 0x11AA2}, {0x11C41, 0x11C45}, {0x11C70, 0x11C71}, {0x11EF7, 0x11EF8}, {0x11FFF, 0x11FFF}, {0x12470, 0x12474}, {0x16A6E, 0x16A6F},
|
||||
{0x16AF5, 0x16AF5}, {0x16B37, 0x16B3B}, {0x16B44, 0x16B44}, {0x16E97, 0x16E9A}, {0x16FE2, 0x16FE2}, {0x1BC9F, 0x1BC9F}, {0x1DA87, 0x1DA8B}, {0x1E95E, 0x1E95F},
|
||||
};
|
||||
|
||||
static const std::vector<std::pair<uint32_t, uint32_t>> symbol_ranges = {
|
||||
{0x24, 0x24}, {0x2B, 0x2B}, {0x3C, 0x3E}, {0x5E, 0x5E}, {0x60, 0x60}, {0x7C, 0x7C}, {0x7E, 0x7E}, {0xA2, 0xA6}, {0xA8, 0xA9}, {0xAC, 0xAC}, {0xAE, 0xB1}, {0xB4, 0xB4}, {0xB8, 0xB8}, {0xD7, 0xD7},
|
||||
{0xF7, 0xF7}, {0x2C2, 0x2C5}, {0x2D2, 0x2DF}, {0x2E5, 0x2EB}, {0x2ED, 0x2ED}, {0x2EF, 0x2FF}, {0x375, 0x375}, {0x384, 0x385}, {0x3F6, 0x3F6}, {0x482, 0x482}, {0x58D, 0x58F}, {0x606, 0x608},
|
||||
{0x60B, 0x60B}, {0x60E, 0x60F}, {0x6DE, 0x6DE}, {0x6E9, 0x6E9}, {0x6FD, 0x6FE}, {0x7F6, 0x7F6}, {0x7FE, 0x7FF}, {0x9F2, 0x9F3}, {0x9FA, 0x9FB}, {0xAF1, 0xAF1}, {0xB70, 0xB70}, {0xBF3, 0xBFA},
|
||||
{0xC7F, 0xC7F}, {0xD4F, 0xD4F}, {0xD79, 0xD79}, {0xE3F, 0xE3F}, {0xF01, 0xF03}, {0xF13, 0xF13}, {0xF15, 0xF17}, {0xF1A, 0xF1F}, {0xF34, 0xF34}, {0xF36, 0xF36}, {0xF38, 0xF38}, {0xFBE, 0xFC5},
|
||||
{0xFC7, 0xFCC}, {0xFCE, 0xFCF}, {0xFD5, 0xFD8}, {0x109E, 0x109F}, {0x1390, 0x1399}, {0x166D, 0x166D}, {0x17DB, 0x17DB}, {0x1940, 0x1940}, {0x19DE, 0x19FF}, {0x1B61, 0x1B6A}, {0x1B74, 0x1B7C},
|
||||
{0x1FBD, 0x1FBD}, {0x1FBF, 0x1FC1}, {0x1FCD, 0x1FCF}, {0x1FDD, 0x1FDF}, {0x1FED, 0x1FEF}, {0x1FFD, 0x1FFE}, {0x2044, 0x2044}, {0x2052, 0x2052}, {0x207A, 0x207C}, {0x208A, 0x208C}, {0x20A0, 0x20BF},
|
||||
{0x2100, 0x2101}, {0x2103, 0x2106}, {0x2108, 0x2109}, {0x2114, 0x2114}, {0x2116, 0x2118}, {0x211E, 0x2123}, {0x2125, 0x2125}, {0x2127, 0x2127}, {0x2129, 0x2129}, {0x212E, 0x212E}, {0x213A, 0x213B},
|
||||
{0x2140, 0x2144}, {0x214A, 0x214D}, {0x214F, 0x214F}, {0x218A, 0x218B}, {0x2190, 0x2307}, {0x230C, 0x2328}, {0x232B, 0x2426}, {0x2440, 0x244A}, {0x249C, 0x24E9}, {0x2500, 0x2767}, {0x2794, 0x27C4},
|
||||
{0x27C7, 0x27E5}, {0x27F0, 0x2982}, {0x2999, 0x29D7}, {0x29DC, 0x29FB}, {0x29FE, 0x2B73}, {0x2B76, 0x2B95}, {0x2B97, 0x2BFF}, {0x2CE5, 0x2CEA}, {0x2E50, 0x2E51}, {0x2E80, 0x2E99}, {0x2E9B, 0x2EF3},
|
||||
{0x2F00, 0x2FD5}, {0x2FF0, 0x2FFB}, {0x3004, 0x3004}, {0x3012, 0x3013}, {0x3020, 0x3020}, {0x3036, 0x3037}, {0x303E, 0x303F}, {0x309B, 0x309C}, {0x3190, 0x3191}, {0x3196, 0x319F}, {0x31C0, 0x31E3},
|
||||
{0x3200, 0x321E}, {0x322A, 0x3247}, {0x3250, 0x3250}, {0x3260, 0x327F}, {0x328A, 0x32B0}, {0x32C0, 0x33FF}, {0x4DC0, 0x4DFF}, {0xA490, 0xA4C6}, {0xA700, 0xA716}, {0xA720, 0xA721}, {0xA789, 0xA78A},
|
||||
{0xA828, 0xA82B}, {0xA836, 0xA839}, {0xAA77, 0xAA79}, {0xAB5B, 0xAB5B}, {0xAB6A, 0xAB6B}, {0xFB29, 0xFB29}, {0xFBB2, 0xFBC1}, {0xFDFC, 0xFDFD}, {0xFE62, 0xFE62}, {0xFE64, 0xFE66}, {0xFE69, 0xFE69},
|
||||
{0xFF04, 0xFF04}, {0xFF0B, 0xFF0B}, {0xFF1C, 0xFF1E}, {0xFF3E, 0xFF3E}, {0xFF40, 0xFF40}, {0xFF5C, 0xFF5C}, {0xFF5E, 0xFF5E}, {0xFFE0, 0xFFE6}, {0xFFE8, 0xFFEE}, {0xFFFC, 0xFFFD}, {0x10137, 0x1013F},
|
||||
{0x10179, 0x10189}, {0x1018C, 0x1018E}, {0x10190, 0x1019C}, {0x101A0, 0x101A0}, {0x101D0, 0x101FC}, {0x10877, 0x10878}, {0x10AC8, 0x10AC8}, {0x1173F, 0x1173F}, {0x11FD5, 0x11FF1}, {0x16B3C, 0x16B3F},
|
||||
{0x16B45, 0x16B45}, {0x1BC9C, 0x1BC9C}, {0x1D000, 0x1D0F5}, {0x1D100, 0x1D126}, {0x1D129, 0x1D164}, {0x1D16A, 0x1D16C}, {0x1D183, 0x1D184}, {0x1D18C, 0x1D1A9}, {0x1D1AE, 0x1D1E8}, {0x1D200, 0x1D241},
|
||||
{0x1D245, 0x1D245}, {0x1D300, 0x1D356}, {0x1D6C1, 0x1D6C1}, {0x1D6DB, 0x1D6DB}, {0x1D6FB, 0x1D6FB}, {0x1D715, 0x1D715}, {0x1D735, 0x1D735}, {0x1D74F, 0x1D74F}, {0x1D76F, 0x1D76F}, {0x1D789, 0x1D789},
|
||||
{0x1D7A9, 0x1D7A9}, {0x1D7C3, 0x1D7C3}, {0x1D800, 0x1D9FF}, {0x1DA37, 0x1DA3A}, {0x1DA6D, 0x1DA74}, {0x1DA76, 0x1DA83}, {0x1DA85, 0x1DA86}, {0x1E14F, 0x1E14F}, {0x1E2FF, 0x1E2FF}, {0x1ECAC, 0x1ECAC},
|
||||
{0x1ECB0, 0x1ECB0}, {0x1ED2E, 0x1ED2E}, {0x1EEF0, 0x1EEF1}, {0x1F000, 0x1F02B}, {0x1F030, 0x1F093}, {0x1F0A0, 0x1F0AE}, {0x1F0B1, 0x1F0BF}, {0x1F0C1, 0x1F0CF}, {0x1F0D1, 0x1F0F5}, {0x1F10D, 0x1F1AD},
|
||||
{0x1F1E6, 0x1F202}, {0x1F210, 0x1F23B}, {0x1F240, 0x1F248}, {0x1F250, 0x1F251}, {0x1F260, 0x1F265}, {0x1F300, 0x1F6D7}, {0x1F6E0, 0x1F6EC}, {0x1F6F0, 0x1F6FC}, {0x1F700, 0x1F773}, {0x1F780, 0x1F7D8},
|
||||
{0x1F7E0, 0x1F7EB}, {0x1F800, 0x1F80B}, {0x1F810, 0x1F847}, {0x1F850, 0x1F859}, {0x1F860, 0x1F887}, {0x1F890, 0x1F8AD}, {0x1F8B0, 0x1F8B1}, {0x1F900, 0x1F978}, {0x1F97A, 0x1F9CB}, {0x1F9CD, 0x1FA53},
|
||||
{0x1FA60, 0x1FA6D}, {0x1FA70, 0x1FA74}, {0x1FA78, 0x1FA7A}, {0x1FA80, 0x1FA86}, {0x1FA90, 0x1FAA8}, {0x1FAB0, 0x1FAB6}, {0x1FAC0, 0x1FAC2}, {0x1FAD0, 0x1FAD6}, {0x1FB00, 0x1FB92}, {0x1FB94, 0x1FBCA},
|
||||
};
|
||||
|
||||
static const std::vector<std::pair<uint32_t, uint32_t>> control_ranges = {
|
||||
{0x0, 0x8}, {0xE, 0x1B}, {0x7F, 0x84}, {0x86, 0x9F}, {0xAD, 0xAD}, {0x378, 0x379}, {0x380, 0x383}, {0x38B, 0x38B}, {0x38D, 0x38D}, {0x3A2, 0x3A2}, {0x530, 0x530}, {0x557, 0x558}, {0x58B, 0x58C},
|
||||
{0x590, 0x590}, {0x5C8, 0x5CF}, {0x5EB, 0x5EE}, {0x5F5, 0x605}, {0x61C, 0x61D}, {0x6DD, 0x6DD}, {0x70E, 0x70F}, {0x74B, 0x74C}, {0x7B2, 0x7BF}, {0x7FB, 0x7FC}, {0x82E, 0x82F}, {0x83F, 0x83F},
|
||||
{0x85C, 0x85D}, {0x85F, 0x85F}, {0x86B, 0x89F}, {0x8B5, 0x8B5}, {0x8C8, 0x8D2}, {0x8E2, 0x8E2}, {0x984, 0x984}, {0x98D, 0x98E}, {0x991, 0x992}, {0x9A9, 0x9A9}, {0x9B1, 0x9B1}, {0x9B3, 0x9B5},
|
||||
{0x9BA, 0x9BB}, {0x9C5, 0x9C6}, {0x9C9, 0x9CA}, {0x9CF, 0x9D6}, {0x9D8, 0x9DB}, {0x9DE, 0x9DE}, {0x9E4, 0x9E5}, {0x9FF, 0xA00}, {0xA04, 0xA04}, {0xA0B, 0xA0E}, {0xA11, 0xA12}, {0xA29, 0xA29},
|
||||
{0xA31, 0xA31}, {0xA34, 0xA34}, {0xA37, 0xA37}, {0xA3A, 0xA3B}, {0xA3D, 0xA3D}, {0xA43, 0xA46}, {0xA49, 0xA4A}, {0xA4E, 0xA50}, {0xA52, 0xA58}, {0xA5D, 0xA5D}, {0xA5F, 0xA65}, {0xA77, 0xA80},
|
||||
{0xA84, 0xA84}, {0xA8E, 0xA8E}, {0xA92, 0xA92}, {0xAA9, 0xAA9}, {0xAB1, 0xAB1}, {0xAB4, 0xAB4}, {0xABA, 0xABB}, {0xAC6, 0xAC6}, {0xACA, 0xACA}, {0xACE, 0xACF}, {0xAD1, 0xADF}, {0xAE4, 0xAE5},
|
||||
{0xAF2, 0xAF8}, {0xB00, 0xB00}, {0xB04, 0xB04}, {0xB0D, 0xB0E}, {0xB11, 0xB12}, {0xB29, 0xB29}, {0xB31, 0xB31}, {0xB34, 0xB34}, {0xB3A, 0xB3B}, {0xB45, 0xB46}, {0xB49, 0xB4A}, {0xB4E, 0xB54},
|
||||
{0xB58, 0xB5B}, {0xB5E, 0xB5E}, {0xB64, 0xB65}, {0xB78, 0xB81}, {0xB84, 0xB84}, {0xB8B, 0xB8D}, {0xB91, 0xB91}, {0xB96, 0xB98}, {0xB9B, 0xB9B}, {0xB9D, 0xB9D}, {0xBA0, 0xBA2}, {0xBA5, 0xBA7},
|
||||
{0xBAB, 0xBAD}, {0xBBA, 0xBBD}, {0xBC3, 0xBC5}, {0xBC9, 0xBC9}, {0xBCE, 0xBCF}, {0xBD1, 0xBD6}, {0xBD8, 0xBE5}, {0xBFB, 0xBFF}, {0xC0D, 0xC0D}, {0xC11, 0xC11}, {0xC29, 0xC29}, {0xC3A, 0xC3C},
|
||||
{0xC45, 0xC45}, {0xC49, 0xC49}, {0xC4E, 0xC54}, {0xC57, 0xC57}, {0xC5B, 0xC5F}, {0xC64, 0xC65}, {0xC70, 0xC76}, {0xC8D, 0xC8D}, {0xC91, 0xC91}, {0xCA9, 0xCA9}, {0xCB4, 0xCB4}, {0xCBA, 0xCBB},
|
||||
{0xCC5, 0xCC5}, {0xCC9, 0xCC9}, {0xCCE, 0xCD4}, {0xCD7, 0xCDD}, {0xCDF, 0xCDF}, {0xCE4, 0xCE5}, {0xCF0, 0xCF0}, {0xCF3, 0xCFF}, {0xD0D, 0xD0D}, {0xD11, 0xD11}, {0xD45, 0xD45}, {0xD49, 0xD49},
|
||||
{0xD50, 0xD53}, {0xD64, 0xD65}, {0xD80, 0xD80}, {0xD84, 0xD84}, {0xD97, 0xD99}, {0xDB2, 0xDB2}, {0xDBC, 0xDBC}, {0xDBE, 0xDBF}, {0xDC7, 0xDC9}, {0xDCB, 0xDCE}, {0xDD5, 0xDD5}, {0xDD7, 0xDD7},
|
||||
{0xDE0, 0xDE5}, {0xDF0, 0xDF1}, {0xDF5, 0xE00}, {0xE3B, 0xE3E}, {0xE5C, 0xE80}, {0xE83, 0xE83}, {0xE85, 0xE85}, {0xE8B, 0xE8B}, {0xEA4, 0xEA4}, {0xEA6, 0xEA6}, {0xEBE, 0xEBF}, {0xEC5, 0xEC5},
|
||||
{0xEC7, 0xEC7}, {0xECE, 0xECF}, {0xEDA, 0xEDB}, {0xEE0, 0xEFF}, {0xF48, 0xF48}, {0xF6D, 0xF70}, {0xF98, 0xF98}, {0xFBD, 0xFBD}, {0xFCD, 0xFCD}, {0xFDB, 0xFFF}, {0x10C6, 0x10C6}, {0x10C8, 0x10CC},
|
||||
{0x10CE, 0x10CF}, {0x1249, 0x1249}, {0x124E, 0x124F}, {0x1257, 0x1257}, {0x1259, 0x1259}, {0x125E, 0x125F}, {0x1289, 0x1289}, {0x128E, 0x128F}, {0x12B1, 0x12B1}, {0x12B6, 0x12B7}, {0x12BF, 0x12BF},
|
||||
{0x12C1, 0x12C1}, {0x12C6, 0x12C7}, {0x12D7, 0x12D7}, {0x1311, 0x1311}, {0x1316, 0x1317}, {0x135B, 0x135C}, {0x137D, 0x137F}, {0x139A, 0x139F}, {0x13F6, 0x13F7}, {0x13FE, 0x13FF}, {0x169D, 0x169F},
|
||||
{0x16F9, 0x16FF}, {0x170D, 0x170D}, {0x1715, 0x171F}, {0x1737, 0x173F}, {0x1754, 0x175F}, {0x176D, 0x176D}, {0x1771, 0x1771}, {0x1774, 0x177F}, {0x17DE, 0x17DF}, {0x17EA, 0x17EF}, {0x17FA, 0x17FF},
|
||||
{0x180E, 0x180F}, {0x181A, 0x181F}, {0x1879, 0x187F}, {0x18AB, 0x18AF}, {0x18F6, 0x18FF}, {0x191F, 0x191F}, {0x192C, 0x192F}, {0x193C, 0x193F}, {0x1941, 0x1943}, {0x196E, 0x196F}, {0x1975, 0x197F},
|
||||
{0x19AC, 0x19AF}, {0x19CA, 0x19CF}, {0x19DB, 0x19DD}, {0x1A1C, 0x1A1D}, {0x1A5F, 0x1A5F}, {0x1A7D, 0x1A7E}, {0x1A8A, 0x1A8F}, {0x1A9A, 0x1A9F}, {0x1AAE, 0x1AAF}, {0x1AC1, 0x1AFF}, {0x1B4C, 0x1B4F},
|
||||
{0x1B7D, 0x1B7F}, {0x1BF4, 0x1BFB}, {0x1C38, 0x1C3A}, {0x1C4A, 0x1C4C}, {0x1C89, 0x1C8F}, {0x1CBB, 0x1CBC}, {0x1CC8, 0x1CCF}, {0x1CFB, 0x1CFF}, {0x1DFA, 0x1DFA}, {0x1F16, 0x1F17}, {0x1F1E, 0x1F1F},
|
||||
{0x1F46, 0x1F47}, {0x1F4E, 0x1F4F}, {0x1F58, 0x1F58}, {0x1F5A, 0x1F5A}, {0x1F5C, 0x1F5C}, {0x1F5E, 0x1F5E}, {0x1F7E, 0x1F7F}, {0x1FB5, 0x1FB5}, {0x1FC5, 0x1FC5}, {0x1FD4, 0x1FD5}, {0x1FDC, 0x1FDC},
|
||||
{0x1FF0, 0x1FF1}, {0x1FF5, 0x1FF5}, {0x1FFF, 0x1FFF}, {0x200B, 0x200F}, {0x202A, 0x202E}, {0x2060, 0x206F}, {0x2072, 0x2073}, {0x208F, 0x208F}, {0x209D, 0x209F}, {0x20C0, 0x20CF}, {0x20F1, 0x20FF},
|
||||
{0x218C, 0x218F}, {0x2427, 0x243F}, {0x244B, 0x245F}, {0x2B74, 0x2B75}, {0x2B96, 0x2B96}, {0x2C2F, 0x2C2F}, {0x2C5F, 0x2C5F}, {0x2CF4, 0x2CF8}, {0x2D26, 0x2D26}, {0x2D28, 0x2D2C}, {0x2D2E, 0x2D2F},
|
||||
{0x2D68, 0x2D6E}, {0x2D71, 0x2D7E}, {0x2D97, 0x2D9F}, {0x2DA7, 0x2DA7}, {0x2DAF, 0x2DAF}, {0x2DB7, 0x2DB7}, {0x2DBF, 0x2DBF}, {0x2DC7, 0x2DC7}, {0x2DCF, 0x2DCF}, {0x2DD7, 0x2DD7}, {0x2DDF, 0x2DDF},
|
||||
{0x2E53, 0x2E7F}, {0x2E9A, 0x2E9A}, {0x2EF4, 0x2EFF}, {0x2FD6, 0x2FEF}, {0x2FFC, 0x2FFF}, {0x3040, 0x3040}, {0x3097, 0x3098}, {0x3100, 0x3104}, {0x3130, 0x3130}, {0x318F, 0x318F}, {0x31E4, 0x31EF},
|
||||
{0x321F, 0x321F}, {0x9FFD, 0x9FFF}, {0xA48D, 0xA48F}, {0xA4C7, 0xA4CF}, {0xA62C, 0xA63F}, {0xA6F8, 0xA6FF}, {0xA7C0, 0xA7C1}, {0xA7CB, 0xA7F4}, {0xA82D, 0xA82F}, {0xA83A, 0xA83F}, {0xA878, 0xA87F},
|
||||
{0xA8C6, 0xA8CD}, {0xA8DA, 0xA8DF}, {0xA954, 0xA95E}, {0xA97D, 0xA97F}, {0xA9CE, 0xA9CE}, {0xA9DA, 0xA9DD}, {0xA9FF, 0xA9FF}, {0xAA37, 0xAA3F}, {0xAA4E, 0xAA4F}, {0xAA5A, 0xAA5B}, {0xAAC3, 0xAADA},
|
||||
{0xAAF7, 0xAB00}, {0xAB07, 0xAB08}, {0xAB0F, 0xAB10}, {0xAB17, 0xAB1F}, {0xAB27, 0xAB27}, {0xAB2F, 0xAB2F}, {0xAB6C, 0xAB6F}, {0xABEE, 0xABEF}, {0xABFA, 0xABFF}, {0xD7A4, 0xD7AF}, {0xD7C7, 0xD7CA},
|
||||
{0xD7FC, 0xF8FF}, {0xFA6E, 0xFA6F}, {0xFADA, 0xFAFF}, {0xFB07, 0xFB12}, {0xFB18, 0xFB1C}, {0xFB37, 0xFB37}, {0xFB3D, 0xFB3D}, {0xFB3F, 0xFB3F}, {0xFB42, 0xFB42}, {0xFB45, 0xFB45}, {0xFBC2, 0xFBD2},
|
||||
{0xFD40, 0xFD4F}, {0xFD90, 0xFD91}, {0xFDC8, 0xFDEF}, {0xFDFE, 0xFDFF}, {0xFE1A, 0xFE1F}, {0xFE53, 0xFE53}, {0xFE67, 0xFE67}, {0xFE6C, 0xFE6F}, {0xFE75, 0xFE75}, {0xFEFD, 0xFF00}, {0xFFBF, 0xFFC1},
|
||||
{0xFFC8, 0xFFC9}, {0xFFD0, 0xFFD1}, {0xFFD8, 0xFFD9}, {0xFFDD, 0xFFDF}, {0xFFE7, 0xFFE7}, {0xFFEF, 0xFFFB}, {0xFFFE, 0xFFFF}, {0x1000C, 0x1000C}, {0x10027, 0x10027}, {0x1003B, 0x1003B},
|
||||
{0x1003E, 0x1003E}, {0x1004E, 0x1004F}, {0x1005E, 0x1007F}, {0x100FB, 0x100FF}, {0x10103, 0x10106}, {0x10134, 0x10136}, {0x1018F, 0x1018F}, {0x1019D, 0x1019F}, {0x101A1, 0x101CF}, {0x101FE, 0x1027F},
|
||||
{0x1029D, 0x1029F}, {0x102D1, 0x102DF}, {0x102FC, 0x102FF}, {0x10324, 0x1032C}, {0x1034B, 0x1034F}, {0x1037B, 0x1037F}, {0x1039E, 0x1039E}, {0x103C4, 0x103C7}, {0x103D6, 0x103FF}, {0x1049E, 0x1049F},
|
||||
{0x104AA, 0x104AF}, {0x104D4, 0x104D7}, {0x104FC, 0x104FF}, {0x10528, 0x1052F}, {0x10564, 0x1056E}, {0x10570, 0x105FF}, {0x10737, 0x1073F}, {0x10756, 0x1075F}, {0x10768, 0x107FF}, {0x10806, 0x10807},
|
||||
{0x10809, 0x10809}, {0x10836, 0x10836}, {0x10839, 0x1083B}, {0x1083D, 0x1083E}, {0x10856, 0x10856}, {0x1089F, 0x108A6}, {0x108B0, 0x108DF}, {0x108F3, 0x108F3}, {0x108F6, 0x108FA}, {0x1091C, 0x1091E},
|
||||
{0x1093A, 0x1093E}, {0x10940, 0x1097F}, {0x109B8, 0x109BB}, {0x109D0, 0x109D1}, {0x10A04, 0x10A04}, {0x10A07, 0x10A0B}, {0x10A14, 0x10A14}, {0x10A18, 0x10A18}, {0x10A36, 0x10A37}, {0x10A3B, 0x10A3E},
|
||||
{0x10A49, 0x10A4F}, {0x10A59, 0x10A5F}, {0x10AA0, 0x10ABF}, {0x10AE7, 0x10AEA}, {0x10AF7, 0x10AFF}, {0x10B36, 0x10B38}, {0x10B56, 0x10B57}, {0x10B73, 0x10B77}, {0x10B92, 0x10B98}, {0x10B9D, 0x10BA8},
|
||||
{0x10BB0, 0x10BFF}, {0x10C49, 0x10C7F}, {0x10CB3, 0x10CBF}, {0x10CF3, 0x10CF9}, {0x10D28, 0x10D2F}, {0x10D3A, 0x10E5F}, {0x10E7F, 0x10E7F}, {0x10EAA, 0x10EAA}, {0x10EAE, 0x10EAF}, {0x10EB2, 0x10EFF},
|
||||
{0x10F28, 0x10F2F}, {0x10F5A, 0x10FAF}, {0x10FCC, 0x10FDF}, {0x10FF7, 0x10FFF}, {0x1104E, 0x11051}, {0x11070, 0x1107E}, {0x110BD, 0x110BD}, {0x110C2, 0x110CF}, {0x110E9, 0x110EF}, {0x110FA, 0x110FF},
|
||||
{0x11135, 0x11135}, {0x11148, 0x1114F}, {0x11177, 0x1117F}, {0x111E0, 0x111E0}, {0x111F5, 0x111FF}, {0x11212, 0x11212}, {0x1123F, 0x1127F}, {0x11287, 0x11287}, {0x11289, 0x11289}, {0x1128E, 0x1128E},
|
||||
{0x1129E, 0x1129E}, {0x112AA, 0x112AF}, {0x112EB, 0x112EF}, {0x112FA, 0x112FF}, {0x11304, 0x11304}, {0x1130D, 0x1130E}, {0x11311, 0x11312}, {0x11329, 0x11329}, {0x11331, 0x11331}, {0x11334, 0x11334},
|
||||
{0x1133A, 0x1133A}, {0x11345, 0x11346}, {0x11349, 0x1134A}, {0x1134E, 0x1134F}, {0x11351, 0x11356}, {0x11358, 0x1135C}, {0x11364, 0x11365}, {0x1136D, 0x1136F}, {0x11375, 0x113FF}, {0x1145C, 0x1145C},
|
||||
{0x11462, 0x1147F}, {0x114C8, 0x114CF}, {0x114DA, 0x1157F}, {0x115B6, 0x115B7}, {0x115DE, 0x115FF}, {0x11645, 0x1164F}, {0x1165A, 0x1165F}, {0x1166D, 0x1167F}, {0x116B9, 0x116BF}, {0x116CA, 0x116FF},
|
||||
{0x1171B, 0x1171C}, {0x1172C, 0x1172F}, {0x11740, 0x117FF}, {0x1183C, 0x1189F}, {0x118F3, 0x118FE}, {0x11907, 0x11908}, {0x1190A, 0x1190B}, {0x11914, 0x11914}, {0x11917, 0x11917}, {0x11936, 0x11936},
|
||||
{0x11939, 0x1193A}, {0x11947, 0x1194F}, {0x1195A, 0x1199F}, {0x119A8, 0x119A9}, {0x119D8, 0x119D9}, {0x119E5, 0x119FF}, {0x11A48, 0x11A4F}, {0x11AA3, 0x11ABF}, {0x11AF9, 0x11BFF}, {0x11C09, 0x11C09},
|
||||
{0x11C37, 0x11C37}, {0x11C46, 0x11C4F}, {0x11C6D, 0x11C6F}, {0x11C90, 0x11C91}, {0x11CA8, 0x11CA8}, {0x11CB7, 0x11CFF}, {0x11D07, 0x11D07}, {0x11D0A, 0x11D0A}, {0x11D37, 0x11D39}, {0x11D3B, 0x11D3B},
|
||||
{0x11D3E, 0x11D3E}, {0x11D48, 0x11D4F}, {0x11D5A, 0x11D5F}, {0x11D66, 0x11D66}, {0x11D69, 0x11D69}, {0x11D8F, 0x11D8F}, {0x11D92, 0x11D92}, {0x11D99, 0x11D9F}, {0x11DAA, 0x11EDF}, {0x11EF9, 0x11FAF},
|
||||
{0x11FB1, 0x11FBF}, {0x11FF2, 0x11FFE}, {0x1239A, 0x123FF}, {0x1246F, 0x1246F}, {0x12475, 0x1247F}, {0x12544, 0x12FFF}, {0x1342F, 0x143FF}, {0x14647, 0x167FF}, {0x16A39, 0x16A3F}, {0x16A5F, 0x16A5F},
|
||||
{0x16A6A, 0x16A6D}, {0x16A70, 0x16ACF}, {0x16AEE, 0x16AEF}, {0x16AF6, 0x16AFF}, {0x16B46, 0x16B4F}, {0x16B5A, 0x16B5A}, {0x16B62, 0x16B62}, {0x16B78, 0x16B7C}, {0x16B90, 0x16E3F}, {0x16E9B, 0x16EFF},
|
||||
{0x16F4B, 0x16F4E}, {0x16F88, 0x16F8E}, {0x16FA0, 0x16FDF}, {0x16FE5, 0x16FEF}, {0x16FF2, 0x16FFF}, {0x187F8, 0x187FF}, {0x18CD6, 0x18CFF}, {0x18D09, 0x1AFFF}, {0x1B11F, 0x1B14F}, {0x1B153, 0x1B163},
|
||||
{0x1B168, 0x1B16F}, {0x1B2FC, 0x1BBFF}, {0x1BC6B, 0x1BC6F}, {0x1BC7D, 0x1BC7F}, {0x1BC89, 0x1BC8F}, {0x1BC9A, 0x1BC9B}, {0x1BCA0, 0x1CFFF}, {0x1D0F6, 0x1D0FF}, {0x1D127, 0x1D128}, {0x1D173, 0x1D17A},
|
||||
{0x1D1E9, 0x1D1FF}, {0x1D246, 0x1D2DF}, {0x1D2F4, 0x1D2FF}, {0x1D357, 0x1D35F}, {0x1D379, 0x1D3FF}, {0x1D455, 0x1D455}, {0x1D49D, 0x1D49D}, {0x1D4A0, 0x1D4A1}, {0x1D4A3, 0x1D4A4}, {0x1D4A7, 0x1D4A8},
|
||||
{0x1D4AD, 0x1D4AD}, {0x1D4BA, 0x1D4BA}, {0x1D4BC, 0x1D4BC}, {0x1D4C4, 0x1D4C4}, {0x1D506, 0x1D506}, {0x1D50B, 0x1D50C}, {0x1D515, 0x1D515}, {0x1D51D, 0x1D51D}, {0x1D53A, 0x1D53A}, {0x1D53F, 0x1D53F},
|
||||
{0x1D545, 0x1D545}, {0x1D547, 0x1D549}, {0x1D551, 0x1D551}, {0x1D6A6, 0x1D6A7}, {0x1D7CC, 0x1D7CD}, {0x1DA8C, 0x1DA9A}, {0x1DAA0, 0x1DAA0}, {0x1DAB0, 0x1DFFF}, {0x1E007, 0x1E007}, {0x1E019, 0x1E01A},
|
||||
{0x1E022, 0x1E022}, {0x1E025, 0x1E025}, {0x1E02B, 0x1E0FF}, {0x1E12D, 0x1E12F}, {0x1E13E, 0x1E13F}, {0x1E14A, 0x1E14D}, {0x1E150, 0x1E2BF}, {0x1E2FA, 0x1E2FE}, {0x1E300, 0x1E7FF}, {0x1E8C5, 0x1E8C6},
|
||||
{0x1E8D7, 0x1E8FF}, {0x1E94C, 0x1E94F}, {0x1E95A, 0x1E95D}, {0x1E960, 0x1EC70}, {0x1ECB5, 0x1ED00}, {0x1ED3E, 0x1EDFF}, {0x1EE04, 0x1EE04}, {0x1EE20, 0x1EE20}, {0x1EE23, 0x1EE23}, {0x1EE25, 0x1EE26},
|
||||
{0x1EE28, 0x1EE28}, {0x1EE33, 0x1EE33}, {0x1EE38, 0x1EE38}, {0x1EE3A, 0x1EE3A}, {0x1EE3C, 0x1EE41}, {0x1EE43, 0x1EE46}, {0x1EE48, 0x1EE48}, {0x1EE4A, 0x1EE4A}, {0x1EE4C, 0x1EE4C}, {0x1EE50, 0x1EE50},
|
||||
{0x1EE53, 0x1EE53}, {0x1EE55, 0x1EE56}, {0x1EE58, 0x1EE58}, {0x1EE5A, 0x1EE5A}, {0x1EE5C, 0x1EE5C}, {0x1EE5E, 0x1EE5E}, {0x1EE60, 0x1EE60}, {0x1EE63, 0x1EE63}, {0x1EE65, 0x1EE66}, {0x1EE6B, 0x1EE6B},
|
||||
{0x1EE73, 0x1EE73}, {0x1EE78, 0x1EE78}, {0x1EE7D, 0x1EE7D}, {0x1EE7F, 0x1EE7F}, {0x1EE8A, 0x1EE8A}, {0x1EE9C, 0x1EEA0}, {0x1EEA4, 0x1EEA4}, {0x1EEAA, 0x1EEAA}, {0x1EEBC, 0x1EEEF}, {0x1EEF2, 0x1EFFF},
|
||||
{0x1F02C, 0x1F02F}, {0x1F094, 0x1F09F}, {0x1F0AF, 0x1F0B0}, {0x1F0C0, 0x1F0C0}, {0x1F0D0, 0x1F0D0}, {0x1F0F6, 0x1F0FF}, {0x1F1AE, 0x1F1E5}, {0x1F203, 0x1F20F}, {0x1F23C, 0x1F23F}, {0x1F249, 0x1F24F},
|
||||
{0x1F252, 0x1F25F}, {0x1F266, 0x1F2FF}, {0x1F6D8, 0x1F6DF}, {0x1F6ED, 0x1F6EF}, {0x1F6FD, 0x1F6FF}, {0x1F774, 0x1F77F}, {0x1F7D9, 0x1F7DF}, {0x1F7EC, 0x1F7FF}, {0x1F80C, 0x1F80F}, {0x1F848, 0x1F84F},
|
||||
{0x1F85A, 0x1F85F}, {0x1F888, 0x1F88F}, {0x1F8AE, 0x1F8AF}, {0x1F8B2, 0x1F8FF}, {0x1F979, 0x1F979}, {0x1F9CC, 0x1F9CC}, {0x1FA54, 0x1FA5F}, {0x1FA6E, 0x1FA6F}, {0x1FA75, 0x1FA77}, {0x1FA7B, 0x1FA7F},
|
||||
{0x1FA87, 0x1FA8F}, {0x1FAA9, 0x1FAAF}, {0x1FAB7, 0x1FABF}, {0x1FAC3, 0x1FACF}, {0x1FAD7, 0x1FAFF}, {0x1FB93, 0x1FB93}, {0x1FBCB, 0x1FBEF}, {0x1FBFA, 0x1FFFF}, {0x2A6DE, 0x2A6FF}, {0x2B735, 0x2B73F},
|
||||
{0x2B81E, 0x2B81F}, {0x2CEA2, 0x2CEAF}, {0x2EBE1, 0x2F7FF}, {0x2FA1E, 0x2FFFF}, {0x3134B, 0xE00FF}, {0xE01F0, 0x10FFFF},
|
||||
};
|
||||
|
||||
static std::string codepoint_to_utf8(uint32_t cp) {
|
||||
std::string result;
|
||||
if (/* 0x00 <= cp && */ cp <= 0x7f) {
|
||||
result.push_back(cp);
|
||||
}
|
||||
else if (0x80 <= cp && cp <= 0x7ff) {
|
||||
result.push_back(0xc0 | ((cp >> 6) & 0x1f));
|
||||
result.push_back(0x80 | (cp & 0x3f));
|
||||
}
|
||||
else if (0x800 <= cp && cp <= 0xffff) {
|
||||
result.push_back(0xe0 | ((cp >> 12) & 0x0f));
|
||||
result.push_back(0x80 | ((cp >> 6) & 0x3f));
|
||||
result.push_back(0x80 | (cp & 0x3f));
|
||||
}
|
||||
else if (0x10000 <= cp && cp <= 0x10ffff) {
|
||||
result.push_back(0xf0 | ((cp >> 18) & 0x07));
|
||||
result.push_back(0x80 | ((cp >> 12) & 0x3f));
|
||||
result.push_back(0x80 | ((cp >> 6) & 0x3f));
|
||||
result.push_back(0x80 | (cp & 0x3f));
|
||||
}
|
||||
else {
|
||||
throw std::invalid_argument("invalid codepoint");
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
static std::string codepoints_to_utf8(const std::vector<uint32_t> & cps) {
|
||||
std::string result;
|
||||
for (size_t i = 0; i < cps.size(); ++i) {
|
||||
result.append(codepoint_to_utf8(cps[i]));
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
static uint32_t codepoint_from_utf8(const std::string & utf8, size_t & offset) {
|
||||
assert(offset < utf8.size());
|
||||
if (!(utf8[offset + 0] & 0x80)) {
|
||||
auto result = utf8[offset + 0];
|
||||
offset += 1;
|
||||
return result;
|
||||
}
|
||||
else if (!(utf8[offset + 0] & 0x40)) {
|
||||
throw std::invalid_argument("invalid character");
|
||||
}
|
||||
else if (!(utf8[offset + 0] & 0x20)) {
|
||||
if (offset + 1 >= utf8.size() || ! ((utf8[offset + 1] & 0xc0) == 0x80))
|
||||
throw std::invalid_argument("invalid character");
|
||||
auto result = ((utf8[offset + 0] & 0x1f) << 6) | (utf8[offset + 1] & 0x3f);
|
||||
offset += 2;
|
||||
return result;
|
||||
}
|
||||
else if (!(utf8[offset + 0] & 0x10)) {
|
||||
if (offset + 2 >= utf8.size() || ! ((utf8[offset + 1] & 0xc0) == 0x80) || ! ((utf8[offset + 2] & 0xc0) == 0x80))
|
||||
throw std::invalid_argument("invalid character");
|
||||
auto result = ((utf8[offset + 0] & 0x0f) << 12) | ((utf8[offset + 1] & 0x3f) << 6) | (utf8[offset + 2] & 0x3f);
|
||||
offset += 3;
|
||||
return result;
|
||||
}
|
||||
else if (!(utf8[offset + 0] & 0x08)) {
|
||||
if (offset + 3 >= utf8.size() || ! ((utf8[offset + 1] & 0xc0) == 0x80) || ! ((utf8[offset + 2] & 0xc0) == 0x80) || !((utf8[offset + 3] & 0xc0) == 0x80))
|
||||
throw std::invalid_argument("invalid character");
|
||||
auto result = ((utf8[offset + 0] & 0x07) << 18) | ((utf8[offset + 1] & 0x3f) << 12) | ((utf8[offset + 2] & 0x3f) << 6) | (utf8[offset + 3] & 0x3f);
|
||||
offset += 4;
|
||||
return result;
|
||||
}
|
||||
throw std::invalid_argument("invalid string");
|
||||
}
|
||||
|
||||
static std::vector<uint32_t> codepoints_from_utf8(const std::string & utf8) {
|
||||
std::vector<uint32_t> result;
|
||||
size_t offset = 0;
|
||||
while (offset < utf8.size()) {
|
||||
result.push_back(codepoint_from_utf8(utf8, offset));
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
static std::vector<uint16_t> codepoint_to_utf16(uint32_t cp) {
|
||||
std::vector<uint16_t> result;
|
||||
if (/* 0x0000 <= cp && */ cp <= 0xffff) {
|
||||
result.emplace_back(cp);
|
||||
}
|
||||
else if (0x10000 <= cp && cp <= 0x10ffff) {
|
||||
result.emplace_back(0xd800 | ((cp - 0x10000) >> 10));
|
||||
result.emplace_back(0xdc00 | ((cp - 0x10000) & 0x03ff));
|
||||
}
|
||||
else {
|
||||
throw std::invalid_argument("invalid codepoint");
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
static std::vector<uint16_t> codepoints_to_utf16(const std::vector<uint32_t> & cps) {
|
||||
std::vector<uint16_t> result;
|
||||
for (size_t i = 0; i < cps.size(); ++i) {
|
||||
auto temp = codepoint_to_utf16(cps[i]);
|
||||
result.insert(result.end(), temp.begin(), temp.end());
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
static uint32_t codepoint_from_utf16(const std::vector<uint16_t> & utf16, size_t & offset) {
|
||||
assert(offset < utf16.size());
|
||||
if (((utf16[0] >> 10) << 10) != 0xd800) {
|
||||
auto result = utf16[offset + 0];
|
||||
offset += 1;
|
||||
return result;
|
||||
}
|
||||
else {
|
||||
if (offset + 1 >= utf16.size() || !((utf16[1] & 0xdc00) == 0xdc00))
|
||||
throw std::invalid_argument("invalid character");
|
||||
auto result = 0x10000 + (((utf16[0] & 0x03ff) << 10) | (utf16[1] & 0x03ff));
|
||||
offset += 2;
|
||||
return result;
|
||||
}
|
||||
throw std::invalid_argument("invalid string");
|
||||
}
|
||||
|
||||
static std::vector<uint32_t> codepoints_from_utf16(const std::vector<uint16_t> & utf16) {
|
||||
std::vector<uint32_t> result;
|
||||
size_t offset = 0;
|
||||
while (offset < utf16.size())
|
||||
result.push_back(codepoint_from_utf16(utf16, offset));
|
||||
return result;
|
||||
}
|
||||
|
||||
#define CODEPOINT_TYPE_UNIDENTIFIED 0
|
||||
#define CODEPOINT_TYPE_NUMBER 1
|
||||
#define CODEPOINT_TYPE_LETTER 2
|
||||
#define CODEPOINT_TYPE_SEPARATOR 3
|
||||
#define CODEPOINT_TYPE_ACCENT_MARK 4
|
||||
#define CODEPOINT_TYPE_PUNCTUATION 5
|
||||
#define CODEPOINT_TYPE_SYMBOL 6
|
||||
#define CODEPOINT_TYPE_CONTROL 7
|
||||
#define CODEPOINT_TYPE_DIGIT 1
|
||||
#define CODEPOINT_TYPE_LETTER 2
|
||||
#define CODEPOINT_TYPE_WHITESPACE 3
|
||||
#define CODEPOINT_TYPE_ACCENT_MARK 4
|
||||
#define CODEPOINT_TYPE_PUNCTUATION 5
|
||||
#define CODEPOINT_TYPE_SYMBOL 6
|
||||
#define CODEPOINT_TYPE_CONTROL 7
|
||||
|
||||
std::string unicode_cpt_to_utf8(uint32_t cp);
|
||||
std::vector<uint32_t> unicode_cpts_from_utf8(const std::string & utf8);
|
||||
static std::unordered_map<uint32_t, int> codepoint_type_map() {
|
||||
std::unordered_map<uint32_t, int> codepoint_types;
|
||||
for (auto p : digit_ranges) {
|
||||
for(auto i = p.first; i <= p.second; ++ i)
|
||||
codepoint_types[i] = CODEPOINT_TYPE_DIGIT;
|
||||
}
|
||||
for(auto p : letter_ranges) {
|
||||
for(auto i = p.first; i <= p.second; ++ i)
|
||||
codepoint_types[i] = CODEPOINT_TYPE_LETTER;
|
||||
}
|
||||
for(auto p : whitespace_ranges) {
|
||||
for(auto i = p.first; i <= p.second; ++ i)
|
||||
codepoint_types[i] = CODEPOINT_TYPE_WHITESPACE;
|
||||
}
|
||||
for(auto p : accent_mark_ranges) {
|
||||
for(auto i = p.first; i <= p.second; ++ i)
|
||||
codepoint_types[i] = CODEPOINT_TYPE_ACCENT_MARK;
|
||||
}
|
||||
for(auto p : punctuation_ranges) {
|
||||
for(auto i = p.first; i <= p.second; ++ i)
|
||||
codepoint_types[i] = CODEPOINT_TYPE_PUNCTUATION;
|
||||
}
|
||||
for (auto p : symbol_ranges) {
|
||||
for (auto i = p.first; i <= p.second; ++i)
|
||||
codepoint_types[i] = CODEPOINT_TYPE_SYMBOL;
|
||||
}
|
||||
for(auto p : control_ranges) {
|
||||
for(auto i = p.first; i <= p.second; ++ i)
|
||||
codepoint_types[i] = CODEPOINT_TYPE_CONTROL;
|
||||
}
|
||||
return codepoint_types;
|
||||
}
|
||||
|
||||
std::vector<uint32_t> unicode_cpts_normalize_nfd(const std::vector<uint32_t> & cpts);
|
||||
static int codepoint_type(uint32_t cp) {
|
||||
static std::unordered_map<uint32_t, int> codepoint_types = codepoint_type_map();
|
||||
return codepoint_types[cp];
|
||||
}
|
||||
|
||||
int unicode_cpt_type(uint32_t cp);
|
||||
int unicode_cpt_type(const std::string & utf8);
|
||||
static int codepoint_type(const std::string & utf8) {
|
||||
if (utf8.length() == 0)
|
||||
return CODEPOINT_TYPE_UNIDENTIFIED;
|
||||
size_t offset = 0;
|
||||
return codepoint_type(codepoint_from_utf8(utf8, offset));
|
||||
}
|
||||
|
||||
bool unicode_cpt_is_whitespace(uint32_t cp);
|
||||
static std::unordered_map<uint8_t, std::string> bytes_to_unicode_map_bpe() {
|
||||
std::unordered_map<uint8_t, std::string> map;
|
||||
for (int ch = u'!'; ch <= u'~'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[ch] = codepoint_to_utf8(ch);
|
||||
}
|
||||
for (int ch = u'¡'; ch <= u'¬'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[ch] = codepoint_to_utf8(ch);
|
||||
}
|
||||
for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[ch] = codepoint_to_utf8(ch);
|
||||
}
|
||||
auto n = 0;
|
||||
for (int ch = 0; ch < 256; ++ch) {
|
||||
if (map.find(ch) == map.end()) {
|
||||
map[ch] = codepoint_to_utf8(256 + n);
|
||||
++n;
|
||||
}
|
||||
}
|
||||
return map;
|
||||
}
|
||||
|
||||
std::string unicode_byte_to_utf8(uint8_t byte);
|
||||
uint8_t unicode_utf8_to_byte(const std::string & utf8);
|
||||
static std::string bytes_to_unicode_bpe(uint8_t byte) {
|
||||
static std::unordered_map<uint8_t, std::string> map = bytes_to_unicode_map_bpe();
|
||||
return map.at(byte);
|
||||
}
|
||||
|
||||
char32_t unicode_tolower(char32_t cp);
|
||||
static std::unordered_map<std::string, uint8_t> unicode_to_bytes_map_bpe() {
|
||||
std::unordered_map<std::string, uint8_t> map;
|
||||
for (int ch = u'!'; ch <= u'~'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[codepoint_to_utf8(ch)] = ch;
|
||||
}
|
||||
for (int ch = u'¡'; ch <= u'¬'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[codepoint_to_utf8(ch)] = ch;
|
||||
}
|
||||
for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
|
||||
assert(0 <= ch && ch < 256);
|
||||
map[codepoint_to_utf8(ch)] = ch;
|
||||
}
|
||||
auto n = 0;
|
||||
for (int ch = 0; ch < 256; ++ch) {
|
||||
if (map.find(codepoint_to_utf8(ch)) == map.end()) {
|
||||
map[codepoint_to_utf8(256 + n)] = ch;
|
||||
++n;
|
||||
}
|
||||
}
|
||||
return map;
|
||||
}
|
||||
|
||||
static uint8_t unicode_to_bytes_bpe(const std::string & utf8) {
|
||||
static std::unordered_map<std::string, uint8_t> map = unicode_to_bytes_map_bpe();
|
||||
return map.at(utf8);
|
||||
}
|
||||
|
||||
std::vector<std::string> unicode_regex_split(const std::string & text, const std::vector<std::string> & regex_exprs);
|
||||
|
@ -29,6 +29,18 @@ std::string g_status_forced = "";
|
||||
|
||||
std::vector<float> g_pcmf32;
|
||||
|
||||
std::string to_timestamp(int64_t t) {
|
||||
int64_t sec = t/100;
|
||||
int64_t msec = t - sec*100;
|
||||
int64_t min = sec/60;
|
||||
sec = sec - min*60;
|
||||
|
||||
char buf[32];
|
||||
snprintf(buf, sizeof(buf), "%02d:%02d.%03d", (int) min, (int) sec, (int) msec);
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
void talk_set_status(const std::string & status) {
|
||||
std::lock_guard<std::mutex> lock(g_mutex);
|
||||
g_status = status;
|
||||
|
1
examples/talk/.gitignore
vendored
1
examples/talk/.gitignore
vendored
@ -1,2 +1 @@
|
||||
audio.mp3
|
||||
to_speak.txt
|
||||
|
@ -11,13 +11,9 @@ Web version: [examples/talk.wasm](/examples/talk.wasm)
|
||||
The `talk` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
|
||||
|
||||
```bash
|
||||
# Install SDL2
|
||||
# On Debian based linux distributions:
|
||||
# Install SDL2 on Linux
|
||||
sudo apt-get install libsdl2-dev
|
||||
|
||||
# On Fedora Linux:
|
||||
sudo dnf install SDL2 SDL2-devel
|
||||
|
||||
# Install SDL2 on Mac OS
|
||||
brew install sdl2
|
||||
|
||||
|
@ -1,80 +1,20 @@
|
||||
import sys
|
||||
import argparse
|
||||
import textwrap
|
||||
import importlib.util
|
||||
|
||||
parser = argparse.ArgumentParser(add_help=False,
|
||||
formatter_class=argparse.RawTextHelpFormatter)
|
||||
parser.add_argument("-q", "--quick", action="store_true",
|
||||
help="skip checking the required library")
|
||||
|
||||
modes = parser.add_argument_group("action")
|
||||
modes.add_argument("inputfile", metavar="TEXTFILE",
|
||||
nargs='?', type=argparse.FileType(), default=sys.stdin,
|
||||
help="read the text file (default: stdin)")
|
||||
modes.add_argument("-l", "--list", action="store_true",
|
||||
help="show the list of voices and exit")
|
||||
modes.add_argument("-h", "--help", action="help",
|
||||
help="show this help and exit")
|
||||
|
||||
selopts = parser.add_argument_group("voice selection")
|
||||
selmodes = selopts.add_mutually_exclusive_group()
|
||||
selmodes.add_argument("-n", "--name",
|
||||
default="Arnold",
|
||||
help="get a voice object by name (default: Arnold)")
|
||||
selmodes.add_argument("-v", "--voice", type=int, metavar="NUMBER",
|
||||
help="get a voice object by number (see --list)")
|
||||
selopts.add_argument("-f", "--filter", action="append", metavar="KEY=VAL",
|
||||
default=["use case=narration"],
|
||||
help=textwrap.dedent('''\
|
||||
filter voices by labels (default: "use case=narration")
|
||||
this option can be used multiple times
|
||||
filtering will be disabled if the first -f has no "=" (e.g. -f "any")
|
||||
'''))
|
||||
|
||||
outmodes = parser.add_argument_group("output")
|
||||
outgroup = outmodes.add_mutually_exclusive_group()
|
||||
outgroup.add_argument("-s", "--save", metavar="FILE",
|
||||
default="audio.mp3",
|
||||
help="save the TTS to a file (default: audio.mp3)")
|
||||
outgroup.add_argument("-p", "--play", action="store_true",
|
||||
help="play the TTS with ffplay")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if not args.quick:
|
||||
import importlib.util
|
||||
if importlib.util.find_spec("elevenlabs") is None:
|
||||
print("elevenlabs library is not installed, you can install it to your enviroment using 'pip install elevenlabs'")
|
||||
sys.exit()
|
||||
|
||||
from elevenlabs import voices, generate, play, save
|
||||
|
||||
if args.filter and "=" in args.filter[0]:
|
||||
voicelist = voices()
|
||||
for f in args.filter:
|
||||
label, value = f.split("=")
|
||||
voicelist = filter(lambda x: x.labels.get(label) == value, voicelist)
|
||||
voicelist = list(voicelist)
|
||||
else:
|
||||
voicelist = list(voices())
|
||||
|
||||
if args.list:
|
||||
for i, v in enumerate(voicelist):
|
||||
print(str(i) + ": " + v.name + " " + str(v.labels))
|
||||
if importlib.util.find_spec("elevenlabs") is None:
|
||||
print("elevenlabs library is not installed, you can install it to your enviroment using 'pip install elevenlabs'")
|
||||
sys.exit()
|
||||
|
||||
if args.voice:
|
||||
voice = voicelist[args.voice % len(voicelist)]
|
||||
else:
|
||||
voice = args.name
|
||||
# if -n should consult -f, use the following
|
||||
#voice = next(x for x in voicelist if x.name == args.name)
|
||||
from elevenlabs import generate, play, save
|
||||
|
||||
# Get a Voice object, by name or UUID
|
||||
voice = "Arnold" #Possible Voices: Adam Antoni Arnold Bella Domi Elli Josh
|
||||
|
||||
# Generate the TTS
|
||||
audio = generate(
|
||||
text=str(args.inputfile.read()),
|
||||
voice=voice
|
||||
text=str(sys.argv[2:]),
|
||||
voice=voice
|
||||
)
|
||||
if args.play:
|
||||
play(audio)
|
||||
else:
|
||||
save(audio, args.save)
|
||||
|
||||
# Save the TTS to a file
|
||||
save(audio, "audio.mp3")
|
||||
|
@ -1,40 +1,24 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Usage:
|
||||
# speak <voice_id> <textfile>
|
||||
# speak.sh <voice_id> <text-to-speak>
|
||||
|
||||
function installed() { command -v $1 >/dev/null 2>&1; }
|
||||
# espeak
|
||||
# Mac OS: brew install espeak
|
||||
# Linux: apt-get install espeak
|
||||
#
|
||||
#espeak -v en-us+m$1 -s 175 -p 50 -a 200 -g 5 -k 5 "$2"
|
||||
|
||||
if installed espeak; then
|
||||
espeak -v en-us+m$1 -s 225 -p 50 -a 200 -g 5 -k 5 -f $2
|
||||
|
||||
elif installed piper && installed aplay; then
|
||||
cat $2 | piper --model ~/en_US-lessac-medium.onnx --output-raw | aplay -q -r 22050 -f S16_LE -t raw -
|
||||
|
||||
# for Mac
|
||||
elif installed say; then
|
||||
say -f $2
|
||||
# Mac OS "say" command
|
||||
say "$2"
|
||||
|
||||
# Eleven Labs
|
||||
elif installed python3 && \
|
||||
python3 -c 'import importlib.util; exit(not importlib.util.find_spec("elevenlabs"))' && \
|
||||
installed ffplay; then
|
||||
# It's possible to use the API for free with limited number of characters.
|
||||
# To increase this limit register to https://beta.elevenlabs.io to get an api key
|
||||
# and paste it after 'ELEVEN_API_KEY='
|
||||
# Keep the line commented to use the free version without api key
|
||||
#export ELEVEN_API_KEY=your_api_key
|
||||
wd=$(dirname $0)
|
||||
script=$wd/eleven-labs.py
|
||||
python3 $script -q -p -v $1 $2 >/dev/null 2>&1
|
||||
|
||||
# Uncomment to keep the audio file
|
||||
#python3 $script -q -s ./audio.mp3 -v $1 $2 >/dev/null 2>&1
|
||||
#ffplay -autoexit -nodisp -loglevel quiet -hide_banner -i ./audio.mp3 >/dev/null 2>&1
|
||||
|
||||
else
|
||||
echo 'Install espeak ("brew install espeak" or "apt-get install espeak"),'
|
||||
echo 'piper ("pip install piper-tts" or https://github.com/rhasspy/piper) with aplay,'
|
||||
echo 'or elevenlabs ("pip install elevenlabs") with ffplay.'
|
||||
echo '(export ELEVEN_API_KEY if you have an api key from https://beta.elevenlabs.io)'
|
||||
fi
|
||||
# To use it, install the elevenlabs module from pip (pip install elevenlabs)
|
||||
# It's possible to use the API for free with limited number of characters. To increase this limit register to https://beta.elevenlabs.io to get an api key and paste it after 'ELEVEN_API_KEY='
|
||||
#Keep the line commented to use the free version without api key
|
||||
#
|
||||
#export ELEVEN_API_KEY=your_api_key
|
||||
#wd=$(dirname $0)
|
||||
#script=$wd/eleven-labs.py
|
||||
#python3 $script $1 "$2"
|
||||
#ffplay -autoexit -nodisp -loglevel quiet -hide_banner -i ./audio.mp3
|
||||
|
@ -1,14 +1,12 @@
|
||||
# Set-ExecutionPolicy -ExecutionPolicy Bypass -Scope CurrentUser
|
||||
param(
|
||||
[Parameter(Mandatory=$true)][int]$voicenum,
|
||||
[Parameter(Mandatory=$true)][string]$textfile
|
||||
# voice options are David or Zira
|
||||
[Parameter(Mandatory=$true)][string]$voice,
|
||||
[Parameter(Mandatory=$true)][string]$text
|
||||
)
|
||||
|
||||
Add-Type -AssemblyName System.Speech;
|
||||
$speak = New-Object System.Speech.Synthesis.SpeechSynthesizer;
|
||||
$voiceoptions = $speak.GetInstalledVoices("en-US");
|
||||
$voice = $voiceoptions[$voicenum % $voiceoptions.count];
|
||||
$speak.SelectVoice($voice.VoiceInfo.Name);
|
||||
$speak.SelectVoice("Microsoft $voice Desktop");
|
||||
$speak.Rate="0";
|
||||
$text = Get-Content -Path $textfile;
|
||||
$speak.Speak($text);
|
||||
|
@ -26,19 +26,18 @@ struct whisper_params {
|
||||
float vad_thold = 0.6f;
|
||||
float freq_thold = 100.0f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool translate = false;
|
||||
bool print_special = false;
|
||||
bool print_energy = false;
|
||||
bool no_timestamps = true;
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
|
||||
std::string person = "Santa";
|
||||
std::string language = "en";
|
||||
std::string model_wsp = "models/ggml-base.en.bin";
|
||||
std::string model_gpt = "models/ggml-gpt-2-117M.bin";
|
||||
std::string speak = "./examples/talk/speak";
|
||||
std::string speak_file= "./examples/talk/to_speak.txt";
|
||||
std::string fname_out;
|
||||
};
|
||||
|
||||
@ -59,17 +58,16 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
else if (arg == "-pe" || arg == "--print-energy") { params.print_energy = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
else if (arg == "-p" || arg == "--person") { params.person = argv[++i]; }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
||||
else if (arg == "-mw" || arg == "--model-whisper") { params.model_wsp = argv[++i]; }
|
||||
else if (arg == "-mg" || arg == "--model-gpt") { params.model_gpt = argv[++i]; }
|
||||
else if (arg == "-s" || arg == "--speak") { params.speak = argv[++i]; }
|
||||
else if (arg == "-sf" || arg == "--speak_file") { params.speak_file = argv[++i]; }
|
||||
else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
@ -94,17 +92,16 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
|
||||
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
|
||||
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
|
||||
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
|
||||
fprintf(stderr, " -pe, --print-energy [%-7s] print sound energy (for debugging)\n", params.print_energy ? "true" : "false");
|
||||
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
|
||||
fprintf(stderr, " -fa, --flash-attn [%-7s] flash attention\n", params.flash_attn ? "true" : "false");
|
||||
fprintf(stderr, " -p NAME, --person NAME [%-7s] person name (for prompt selection)\n", params.person.c_str());
|
||||
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.c_str());
|
||||
fprintf(stderr, " -mw FILE, --model-whisper [%-7s] whisper model file\n", params.model_wsp.c_str());
|
||||
fprintf(stderr, " -mg FILE, --model-gpt [%-7s] gpt model file\n", params.model_gpt.c_str());
|
||||
fprintf(stderr, " -s FILE, --speak TEXT [%-7s] command for TTS\n", params.speak.c_str());
|
||||
fprintf(stderr, " -sf FILE, --speak_file [%-7s] file to pass to TTS\n", params.speak_file.c_str());
|
||||
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str());
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
@ -129,6 +126,7 @@ std::string transcribe(whisper_context * ctx, const whisper_params & params, con
|
||||
wparams.n_threads = params.n_threads;
|
||||
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
wparams.speed_up = params.speed_up;
|
||||
|
||||
if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
|
||||
return "";
|
||||
@ -187,9 +185,7 @@ int main(int argc, char ** argv) {
|
||||
|
||||
// whisper init
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx_wsp = whisper_init_from_file_with_params(params.model_wsp.c_str(), cparams);
|
||||
|
||||
@ -320,7 +316,7 @@ int main(int argc, char ** argv) {
|
||||
std::string prompt = ::replace(::replace(k_prompt, "{0}", params.person), "{1}", prompt_base);
|
||||
|
||||
text_to_speak = gpt2_gen_text(ctx_gpt, prompt.c_str(), params.max_tokens);
|
||||
//text_to_speak = std::regex_replace(text_to_speak, std::regex("[^a-zA-Z0-9\\.,\\?!\\s\\:\\'\\-]"), "");
|
||||
text_to_speak = std::regex_replace(text_to_speak, std::regex("[^a-zA-Z0-9\\.,\\?!\\s\\:\\'\\-]"), "");
|
||||
text_to_speak = text_to_speak.substr(0, text_to_speak.find_first_of('\n'));
|
||||
|
||||
// remove first 2 lines of base prompt
|
||||
@ -358,7 +354,10 @@ int main(int argc, char ** argv) {
|
||||
gpt2_set_prompt(ctx_gpt, prompt_base.c_str());
|
||||
|
||||
text_to_speak = ::replace(text_to_speak, params.person + ": ", "");
|
||||
speak_with_file(params.speak, text_to_speak, params.speak_file, voice_id);
|
||||
int ret = system((params.speak + " " + std::to_string(voice_id) + " \"" + text_to_speak + "\"").c_str());
|
||||
if (ret != 0) {
|
||||
fprintf(stderr, "%s: system() failed!\n", __func__);
|
||||
}
|
||||
|
||||
audio.clear();
|
||||
|
||||
|
@ -1,10 +1,9 @@
|
||||
set(CMAKE_CXX_STANDARD 11)
|
||||
|
||||
add_subdirectory(libwchess)
|
||||
set_target_properties(wchess-core PROPERTIES FOLDER "libs")
|
||||
|
||||
if (EMSCRIPTEN)
|
||||
add_subdirectory(wchess.wasm)
|
||||
set_target_properties(wchess.wasm PROPERTIES FOLDER "libs")
|
||||
else()
|
||||
add_subdirectory(wchess.cmd)
|
||||
set_target_properties(wchess PROPERTIES FOLDER "libs")
|
||||
endif()
|
||||
|
@ -26,12 +26,12 @@ struct whisper_params {
|
||||
|
||||
float grammar_penalty = 100.0f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool translate = false;
|
||||
bool print_special = false;
|
||||
bool print_energy = false;
|
||||
bool no_timestamps = true;
|
||||
bool use_gpu = true;
|
||||
bool flash_attn = false;
|
||||
|
||||
std::string language = "en";
|
||||
std::string model = "models/ggml-base.en.bin";
|
||||
@ -56,11 +56,11 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
|
||||
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
|
||||
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
|
||||
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
|
||||
fprintf(stderr, " -pe, --print-energy [%-7s] print sound energy (for debugging)\n", params.print_energy ? "true" : "false");
|
||||
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
|
||||
fprintf(stderr, " -fa, --flash-attn [%-7s] flash attention during decoding\n", params.flash_attn ? "true" : "false");
|
||||
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.c_str());
|
||||
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
|
||||
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str());
|
||||
@ -87,11 +87,11 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
else if (arg == "-pe" || arg == "--print-energy") { params.print_energy = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; }
|
||||
@ -183,9 +183,7 @@ int main(int argc, char ** argv) {
|
||||
// whisper init
|
||||
|
||||
struct whisper_context_params cparams = whisper_context_default_params();
|
||||
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
if (!ctx) {
|
||||
|
@ -245,8 +245,6 @@ Java_com_whispercpp_java_whisper_WhisperLib_benchMemcpy(JNIEnv *env, jobject thi
|
||||
UNUSED(thiz);
|
||||
const char *bench_ggml_memcpy = whisper_bench_memcpy_str(n_threads);
|
||||
jstring string = (*env)->NewStringUTF(env, bench_ggml_memcpy);
|
||||
|
||||
return string;
|
||||
}
|
||||
|
||||
JNIEXPORT jstring JNICALL
|
||||
@ -255,7 +253,5 @@ Java_com_whispercpp_java_whisper_WhisperLib_benchGgmlMulMat(JNIEnv *env, jobject
|
||||
UNUSED(thiz);
|
||||
const char *bench_ggml_mul_mat = whisper_bench_ggml_mul_mat_str(n_threads);
|
||||
jstring string = (*env)->NewStringUTF(env, bench_ggml_mul_mat);
|
||||
|
||||
return string;
|
||||
}
|
||||
|
||||
|
@ -145,7 +145,7 @@ class MainScreenViewModel(private val application: Application) : ViewModel() {
|
||||
val start = System.currentTimeMillis()
|
||||
val text = whisperContext?.transcribeData(data)
|
||||
val elapsed = System.currentTimeMillis() - start
|
||||
printMessage("Done ($elapsed ms): \n$text\n")
|
||||
printMessage("Done ($elapsed ms): $text\n")
|
||||
} catch (e: Exception) {
|
||||
Log.w(LOG_TAG, e)
|
||||
printMessage("${e.localizedMessage}\n")
|
||||
|
@ -16,7 +16,7 @@ class WhisperContext private constructor(private var ptr: Long) {
|
||||
Executors.newSingleThreadExecutor().asCoroutineDispatcher()
|
||||
)
|
||||
|
||||
suspend fun transcribeData(data: FloatArray, printTimestamp: Boolean = true): String = withContext(scope.coroutineContext) {
|
||||
suspend fun transcribeData(data: FloatArray): String = withContext(scope.coroutineContext) {
|
||||
require(ptr != 0L)
|
||||
val numThreads = WhisperCpuConfig.preferredThreadCount
|
||||
Log.d(LOG_TAG, "Selecting $numThreads threads")
|
||||
@ -24,13 +24,7 @@ class WhisperContext private constructor(private var ptr: Long) {
|
||||
val textCount = WhisperLib.getTextSegmentCount(ptr)
|
||||
return@withContext buildString {
|
||||
for (i in 0 until textCount) {
|
||||
if (printTimestamp) {
|
||||
val textTimestamp = "[${toTimestamp(WhisperLib.getTextSegmentT0(ptr, i))} --> ${toTimestamp(WhisperLib.getTextSegmentT1(ptr, i))}]"
|
||||
val textSegment = WhisperLib.getTextSegment(ptr, i)
|
||||
append("$textTimestamp: $textSegment\n")
|
||||
} else {
|
||||
append(WhisperLib.getTextSegment(ptr, i))
|
||||
}
|
||||
append(WhisperLib.getTextSegment(ptr, i))
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -137,29 +131,12 @@ private class WhisperLib {
|
||||
external fun fullTranscribe(contextPtr: Long, numThreads: Int, audioData: FloatArray)
|
||||
external fun getTextSegmentCount(contextPtr: Long): Int
|
||||
external fun getTextSegment(contextPtr: Long, index: Int): String
|
||||
external fun getTextSegmentT0(contextPtr: Long, index: Int): Long
|
||||
external fun getTextSegmentT1(contextPtr: Long, index: Int): Long
|
||||
external fun getSystemInfo(): String
|
||||
external fun benchMemcpy(nthread: Int): String
|
||||
external fun benchGgmlMulMat(nthread: Int): String
|
||||
}
|
||||
}
|
||||
|
||||
// 500 -> 00:05.000
|
||||
// 6000 -> 01:00.000
|
||||
private fun toTimestamp(t: Long, comma: Boolean = false): String {
|
||||
var msec = t * 10
|
||||
val hr = msec / (1000 * 60 * 60)
|
||||
msec -= hr * (1000 * 60 * 60)
|
||||
val min = msec / (1000 * 60)
|
||||
msec -= min * (1000 * 60)
|
||||
val sec = msec / 1000
|
||||
msec -= sec * 1000
|
||||
|
||||
val delimiter = if (comma) "," else "."
|
||||
return String.format("%02d:%02d:%02d%s%03d", hr, min, sec, delimiter, msec)
|
||||
}
|
||||
|
||||
private fun isArmEabiV7a(): Boolean {
|
||||
return Build.SUPPORTED_ABIS[0].equals("armeabi-v7a")
|
||||
}
|
||||
|
@ -9,10 +9,10 @@ set(WHISPER_LIB_DIR ${CMAKE_SOURCE_DIR}/../../../../../../..)
|
||||
option(GGML_HOME "whisper: Path to external GGML source" OFF)
|
||||
|
||||
set(
|
||||
SOURCE_FILES
|
||||
${WHISPER_LIB_DIR}/whisper.cpp
|
||||
${CMAKE_SOURCE_DIR}/jni.c
|
||||
)
|
||||
SOURCE_FILES
|
||||
${WHISPER_LIB_DIR}/whisper.cpp
|
||||
${CMAKE_SOURCE_DIR}/jni.c
|
||||
)
|
||||
|
||||
if (NOT GGML_HOME)
|
||||
set(
|
||||
@ -22,7 +22,8 @@ if (NOT GGML_HOME)
|
||||
${WHISPER_LIB_DIR}/ggml-alloc.c
|
||||
${WHISPER_LIB_DIR}/ggml-backend.c
|
||||
${WHISPER_LIB_DIR}/ggml-quants.c
|
||||
)
|
||||
|
||||
)
|
||||
endif()
|
||||
|
||||
find_library(LOG_LIB log)
|
||||
@ -43,6 +44,7 @@ function(build_library target_name)
|
||||
endif ()
|
||||
|
||||
if (NOT ${CMAKE_BUILD_TYPE} STREQUAL "Debug")
|
||||
|
||||
target_compile_options(${target_name} PRIVATE -O3)
|
||||
target_compile_options(${target_name} PRIVATE -fvisibility=hidden -fvisibility-inlines-hidden)
|
||||
target_compile_options(${target_name} PRIVATE -ffunction-sections -fdata-sections)
|
||||
@ -50,6 +52,7 @@ function(build_library target_name)
|
||||
target_link_options(${target_name} PRIVATE -Wl,--gc-sections)
|
||||
target_link_options(${target_name} PRIVATE -Wl,--exclude-libs,ALL)
|
||||
target_link_options(${target_name} PRIVATE -flto)
|
||||
|
||||
endif ()
|
||||
|
||||
if (GGML_HOME)
|
||||
|
@ -212,22 +212,6 @@ Java_com_whispercpp_whisper_WhisperLib_00024Companion_getTextSegment(
|
||||
return string;
|
||||
}
|
||||
|
||||
JNIEXPORT jlong JNICALL
|
||||
Java_com_whispercpp_whisper_WhisperLib_00024Companion_getTextSegmentT0(
|
||||
JNIEnv *env, jobject thiz, jlong context_ptr, jint index) {
|
||||
UNUSED(thiz);
|
||||
struct whisper_context *context = (struct whisper_context *) context_ptr;
|
||||
return whisper_full_get_segment_t0(context, index);
|
||||
}
|
||||
|
||||
JNIEXPORT jlong JNICALL
|
||||
Java_com_whispercpp_whisper_WhisperLib_00024Companion_getTextSegmentT1(
|
||||
JNIEnv *env, jobject thiz, jlong context_ptr, jint index) {
|
||||
UNUSED(thiz);
|
||||
struct whisper_context *context = (struct whisper_context *) context_ptr;
|
||||
return whisper_full_get_segment_t1(context, index);
|
||||
}
|
||||
|
||||
JNIEXPORT jstring JNICALL
|
||||
Java_com_whispercpp_whisper_WhisperLib_00024Companion_getSystemInfo(
|
||||
JNIEnv *env, jobject thiz
|
||||
|
@ -45,6 +45,6 @@ if [ ! -f ./models/ggml-${model}.bin ] ; then
|
||||
fi
|
||||
|
||||
# fine-tune the parameters according to your machine specs
|
||||
./stream -t 8 -m models/ggml-${model}.bin --step 350 --length 10000 -f /tmp/whisper.nvim 2> /dev/null
|
||||
./stream -t 8 -m models/ggml-base.en.bin --step 350 --length 10000 -f /tmp/whisper.nvim 2> /dev/null
|
||||
|
||||
exit 0
|
||||
|
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user