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21 Commits

Author SHA1 Message Date
ParthSareen
b4de2e9189 change name to context_length 2025-02-07 11:50:38 -08:00
ParthSareen
61a5254115 context_window and addressing comments 2025-02-05 11:26:55 -08:00
ParthSareen
53d2cf37d2 update docs 2025-02-04 15:17:16 -08:00
ParthSareen
75f88e7aac Update docs 2025-02-04 10:47:32 -08:00
ParthSareen
4982089c84 Fix formatting 2025-01-30 13:53:24 -08:00
Parth Sareen
8c231b0826 Update openai/openai.go
Co-authored-by: Michael Yang <mxyng@pm.me>
2025-01-30 13:50:25 -08:00
ParthSareen
16abd181a9 remove context shifting with max tokens and update docs 2025-01-30 13:48:24 -08:00
ParthSareen
5c2f35d846 Add tests 2025-01-30 13:16:15 -08:00
ParthSareen
6de3227841 Cleanup api 2025-01-30 13:15:57 -08:00
ParthSareen
35e97db03b set num_ctx through extra body 2025-01-29 13:13:11 -08:00
Xiaofu Huang
2ef3c803a1 readme: add AI Toolkit for VSCode to community integrations (#8604) 2025-01-27 00:36:23 -08:00
Matěj Štágl
453e4d090b readme: add LlmTornado to community integrations (#8551) 2025-01-25 01:04:07 -08:00
Daniel Jalkut
ca2f9843c8 docs: remove reference to the deleted examples folder (#8524) 2025-01-22 22:52:15 -08:00
frob
294b6f5a22 docs: remove tfs_z option from documentation (#8515) 2025-01-21 09:28:59 -08:00
EndoTheDev
7bb356c680 docs: update suspend header in gpu.md (#8487) 2025-01-19 18:45:35 -08:00
Jannik Maierhöfer
021817e59a readme: add link to Langfuse (#8455) 2025-01-16 22:41:12 -08:00
Patrick Devine
a420a453b4 fix default modelfile for create (#8452) 2025-01-16 01:14:04 -08:00
Jeffrey Morgan
42cf4db601 parser: fix parsing Modelfiles with multiple FROM commands (#8449) 2025-01-16 00:14:04 -08:00
Josh
93a8daf285 convert: import support for command-r models from safetensors (#6063)
---------

Co-authored-by: Patrick Devine <patrick@infrahq.com>
2025-01-15 16:31:22 -08:00
Gloryjaw
a041b4df7c docs: fix path to examples (#8438) 2025-01-15 11:49:12 -08:00
Patrick Devine
2539f2dbf9 Fix absolute path names + gguf detection (#8428) 2025-01-14 19:01:24 -08:00
629 changed files with 11540 additions and 12509 deletions

9
.gitattributes vendored
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@@ -7,14 +7,5 @@ llama/**/*.cuh linguist-vendored
llama/**/*.m linguist-vendored
llama/**/*.metal linguist-vendored
ml/backend/**/*.c linguist-vendored
ml/backend/**/*.h linguist-vendored
ml/backend/**/*.cpp linguist-vendored
ml/backend/**/*.hpp linguist-vendored
ml/backend/**/*.cu linguist-vendored
ml/backend/**/*.cuh linguist-vendored
ml/backend/**/*.m linguist-vendored
ml/backend/**/*.metal linguist-vendored
* text=auto
*.go text eol=lf

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@@ -1,5 +1,11 @@
name: test
env:
ROCM_WINDOWS_URL: https://download.amd.com/developer/eula/rocm-hub/AMD-Software-PRO-Edition-24.Q3-WinSvr2022-For-HIP.exe
MSYS2_URL: https://github.com/msys2/msys2-installer/releases/download/2024-07-27/msys2-x86_64-20240727.exe
CUDA_12_WINDOWS_URL: https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda_12.4.0_551.61_windows.exe
CUDA_12_WINDOWS_VER: 12.4
concurrency:
# For PRs, later CI runs preempt previous ones. e.g. a force push on a PR
# cancels running CI jobs and starts all new ones.
@@ -21,7 +27,7 @@ jobs:
changes:
runs-on: ubuntu-latest
outputs:
changed: ${{ steps.changes.outputs.changed }}
RUNNERS: ${{ steps.changes.outputs.RUNNERS }}
steps:
- uses: actions/checkout@v4
with:
@@ -29,61 +35,309 @@ jobs:
- id: changes
run: |
changed() {
local BASE=${{ github.event.pull_request.base.sha }}
local HEAD=${{ github.event.pull_request.head.sha }}
local MERGE_BASE=$(git merge-base $BASE $HEAD)
git diff-tree -r --no-commit-id --name-only "$MERGE_BASE" "$HEAD" \
git diff-tree -r --no-commit-id --name-only \
$(git merge-base ${{ github.event.pull_request.base.sha }} ${{ github.event.pull_request.head.sha }}) \
${{ github.event.pull_request.head.sha }} \
| xargs python3 -c "import sys; from pathlib import Path; print(any(Path(x).match(glob) for x in sys.argv[1:] for glob in '$*'.split(' ')))"
}
echo changed=$(changed 'llama/llama.cpp/**' 'ml/backend/ggml/ggml/**') | tee -a $GITHUB_OUTPUT
{
echo RUNNERS=$(changed 'llama/**')
} >>$GITHUB_OUTPUT
linux:
runners-linux-cuda:
needs: [changes]
if: ${{ needs.changes.outputs.changed == 'True' }}
if: ${{ needs.changes.outputs.RUNNERS == 'True' }}
strategy:
matrix:
include:
- container: nvidia/cuda:11.8.0-devel-ubuntu22.04
preset: CUDA
- container: rocm/dev-ubuntu-22.04:6.1.2
preset: ROCm
extra-packages: rocm-libs
runs-on: ubuntu-latest
container: ${{ matrix.container }}
cuda-version:
- '11.8.0'
runs-on: linux
container: nvidia/cuda:${{ matrix.cuda-version }}-devel-ubuntu20.04
steps:
- uses: actions/checkout@v4
- run: |
apt-get update
apt-get install -y cmake pkg-config ${{ matrix.extra-packages }}
apt-get update && apt-get install -y git build-essential curl
env:
DEBIAN_FRONTEND: noninteractive
- uses: actions/checkout@v4
- uses: actions/setup-go@v4
with:
go-version-file: go.mod
cache: true
- run: go get ./...
- run: |
cmake --preset ${{ matrix.preset }}
cmake --build --preset ${{ matrix.preset }} --parallel
test:
git config --global --add safe.directory /__w/ollama/ollama
cores=$(grep '^core id' /proc/cpuinfo |sort -u|wc -l)
make -j $cores cuda_v11
runners-linux-rocm:
needs: [changes]
if: ${{ needs.changes.outputs.RUNNERS == 'True' }}
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
rocm-version:
- '6.1.2'
runs-on: linux
container: rocm/dev-ubuntu-20.04:${{ matrix.rocm-version }}
steps:
- run: |
apt-get update && apt-get install -y git build-essential curl rocm-libs
env:
DEBIAN_FRONTEND: noninteractive
- uses: actions/checkout@v4
- uses: actions/setup-go@v4
with:
go-version-file: go.mod
cache: true
- run: go get ./...
- run: |
git config --global --add safe.directory /__w/ollama/ollama
cores=$(grep '^core id' /proc/cpuinfo |sort -u|wc -l)
make -j $cores rocm
# ROCm generation step
runners-windows-rocm:
needs: [changes]
if: ${{ needs.changes.outputs.RUNNERS == 'True' }}
runs-on: windows
steps:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with:
go-version-file: go.mod
cache: true
- name: Set make jobs default
run: |
echo "MAKEFLAGS=--jobs=$((Get-ComputerInfo -Property CsProcessors).CsProcessors.NumberOfCores)" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
# ROCM installation steps
- name: 'Cache ROCm installer'
id: cache-rocm
uses: actions/cache@v4
with:
path: rocm-install.exe
key: ${{ env.ROCM_WINDOWS_URL }}
- name: 'Conditionally Download ROCm'
if: steps.cache-rocm.outputs.cache-hit != 'true'
run: |
$ErrorActionPreference = "Stop"
Invoke-WebRequest -Uri "${env:ROCM_WINDOWS_URL}" -OutFile "rocm-install.exe"
- name: 'Install ROCm'
run: |
Start-Process "rocm-install.exe" -ArgumentList '-install' -NoNewWindow -Wait
- name: 'Verify ROCm'
run: |
& 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' --version
echo "HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path | select -first 1)" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
- name: Add msys paths
run: |
echo "c:\msys64\usr\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\msys64\clang64\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
- name: Install msys2 tools
run: |
Start-Process "c:\msys64\usr\bin\pacman.exe" -ArgumentList @("-S", "--noconfirm", "mingw-w64-clang-x86_64-gcc-compat", "mingw-w64-clang-x86_64-clang") -NoNewWindow -Wait
- name: make rocm runner
run: |
import-module 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\Microsoft.VisualStudio.DevShell.dll'
Enter-VsDevShell -vsinstallpath 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise' -skipautomaticlocation -DevCmdArguments '-arch=x64 -no_logo'
if (!(gcc --version | select-string -quiet clang)) { throw "wrong gcc compiler detected - must be clang" }
make -C llama print-HIP_PATH print-HIP_LIB_DIR
make rocm
# CUDA generation step
runners-windows-cuda:
needs: [changes]
if: ${{ needs.changes.outputs.RUNNERS == 'True' }}
runs-on: windows
steps:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with:
go-version-file: go.mod
cache: true
- name: Set make jobs default
run: |
echo "MAKEFLAGS=--jobs=$((Get-ComputerInfo -Property CsProcessors).CsProcessors.NumberOfCores)" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
# CUDA installation steps
- name: 'Cache CUDA installer'
id: cache-cuda
uses: actions/cache@v4
with:
path: cuda-install.exe
key: ${{ env.CUDA_12_WINDOWS_URL }}
- name: 'Conditionally Download CUDA'
if: steps.cache-cuda.outputs.cache-hit != 'true'
run: |
$ErrorActionPreference = "Stop"
Invoke-WebRequest -Uri "${env:CUDA_12_WINDOWS_URL}" -OutFile "cuda-install.exe"
- name: 'Install CUDA'
run: |
$subpackages = @("cudart", "nvcc", "cublas", "cublas_dev") | foreach-object {"${_}_${{ env.CUDA_12_WINDOWS_VER }}"}
Start-Process "cuda-install.exe" -ArgumentList (@("-s") + $subpackages) -NoNewWindow -Wait
- name: 'Verify CUDA'
run: |
& (resolve-path "c:\Program Files\NVIDIA*\CUDA\v*\bin\nvcc.exe")[0] --version
$cudaPath=((resolve-path "c:\Program Files\NVIDIA*\CUDA\v*\bin\nvcc.exe")[0].path | split-path | split-path)
$cudaVer=($cudaPath | split-path -leaf ) -replace 'v(\d+).(\d+)', '$1_$2'
echo "$cudaPath\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "CUDA_PATH=$cudaPath" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
echo "CUDA_PATH_V${cudaVer}=$cudaPath" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
echo "CUDA_PATH_VX_Y=CUDA_PATH_V${cudaVer}" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
- name: Add msys paths
run: |
echo "c:\msys64\usr\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\msys64\clang64\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
- name: Install msys2 tools
run: |
Start-Process "c:\msys64\usr\bin\pacman.exe" -ArgumentList @("-S", "--noconfirm", "mingw-w64-clang-x86_64-gcc-compat", "mingw-w64-clang-x86_64-clang") -NoNewWindow -Wait
- name: make cuda runner
run: |
import-module 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\Microsoft.VisualStudio.DevShell.dll'
Enter-VsDevShell -vsinstallpath 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise' -skipautomaticlocation -DevCmdArguments '-arch=x64 -no_logo'
if (!(gcc --version | select-string -quiet clang)) { throw "wrong gcc compiler detected - must be clang" }
make cuda_v$(($env:CUDA_PATH | split-path -leaf) -replace 'v(\d+).*', '$1')
runners-cpu:
needs: [changes]
if: ${{ needs.changes.outputs.RUNNERS == 'True' }}
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-2019]
arch: [amd64, arm64]
exclude:
- os: ubuntu-latest
arch: arm64
- os: windows-2019
arch: arm64
runs-on: ${{ matrix.os }}
env:
GOARCH: ${{ matrix.arch }}
ARCH: ${{ matrix.arch }}
CGO_ENABLED: '1'
steps:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with:
go-version-file: go.mod
cache: true
- name: Add msys paths
if: ${{ startsWith(matrix.os, 'windows-') }}
run: |
echo "c:\msys64\usr\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\msys64\clang64\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
- name: Install msys2 tools
if: ${{ startsWith(matrix.os, 'windows-') }}
run: |
Start-Process "c:\msys64\usr\bin\pacman.exe" -ArgumentList @("-S", "--noconfirm", "mingw-w64-clang-x86_64-gcc-compat", "mingw-w64-clang-x86_64-clang") -NoNewWindow -Wait
- name: 'Build Windows Go Runners'
if: ${{ startsWith(matrix.os, 'windows-') }}
run: |
$gopath=(get-command go).source | split-path -parent
$gccpath=(get-command gcc).source | split-path -parent
import-module 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\Microsoft.VisualStudio.DevShell.dll'
Enter-VsDevShell -vsinstallpath 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise' -skipautomaticlocation -DevCmdArguments '-arch=x64 -no_logo'
$env:CMAKE_SYSTEM_VERSION="10.0.22621.0"
$env:PATH="$gopath;$gccpath;$env:PATH"
echo $env:PATH
if (!(gcc --version | select-string -quiet clang)) { throw "wrong gcc compiler detected - must be clang" }
make -j 4
- name: 'Build Unix Go Runners'
if: ${{ ! startsWith(matrix.os, 'windows-') }}
run: make -j 4
- run: go build .
lint:
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-2019]
arch: [amd64, arm64]
exclude:
- os: ubuntu-latest
arch: arm64
- os: windows-2019
arch: arm64
- os: macos-latest
arch: amd64
runs-on: ${{ matrix.os }}
env:
GOARCH: ${{ matrix.arch }}
CGO_ENABLED: '1'
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- name: Add msys paths
if: ${{ startsWith(matrix.os, 'windows-') }}
run: |
echo "c:\msys64\usr\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\msys64\clang64\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
- name: Install msys2 tools
if: ${{ startsWith(matrix.os, 'windows-') }}
run: |
Start-Process "c:\msys64\usr\bin\pacman.exe" -ArgumentList @("-S", "--noconfirm", "mingw-w64-clang-x86_64-gcc-compat", "mingw-w64-clang-x86_64-clang") -NoNewWindow -Wait
- uses: actions/setup-go@v5
with:
go-version-file: go.mod
cache: false
- run: |
case ${{ matrix.arch }} in
amd64) echo ARCH=x86_64 ;;
arm64) echo ARCH=arm64 ;;
esac >>$GITHUB_ENV
shell: bash
- uses: golangci/golangci-lint-action@v6
with:
args: --timeout 10m0s -v
test:
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-2019]
arch: [amd64]
exclude:
- os: ubuntu-latest
arch: arm64
- os: windows-2019
arch: arm64
runs-on: ${{ matrix.os }}
env:
GOARCH: ${{ matrix.arch }}
CGO_ENABLED: '1'
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- name: Add msys paths
if: ${{ startsWith(matrix.os, 'windows-') }}
run: |
echo "c:\msys64\usr\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\msys64\clang64\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
- name: Install msys2 tools
if: ${{ startsWith(matrix.os, 'windows-') }}
run: |
Start-Process "c:\msys64\usr\bin\pacman.exe" -ArgumentList @("-S", "--noconfirm", "mingw-w64-clang-x86_64-gcc-compat", "mingw-w64-clang-x86_64-clang") -NoNewWindow -Wait
- uses: actions/setup-go@v5
with:
go-version-file: go.mod
cache: true
- run: |
case ${{ matrix.arch }} in
amd64) echo ARCH=amd64 ;;
arm64) echo ARCH=arm64 ;;
esac >>$GITHUB_ENV
shell: bash
- run: go test ./...
patches:
needs: [changes]
if: ${{ needs.changes.outputs.RUNNERS == 'True' }}
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Verify patches apply cleanly and do not change files
with:
submodules: recursive
- name: Verify patches carry all the changes
run: |
make -f Makefile2 clean checkout sync
git diff --compact-summary --exit-code
make apply-patches sync && git diff --compact-summary --exit-code llama

View File

@@ -1,45 +0,0 @@
cmake_minimum_required(VERSION 3.21)
project(Ollama C CXX)
include(CheckLanguage)
find_package(Threads REQUIRED)
set(CMAKE_BUILD_TYPE Release)
set(BUILD_SHARED_LIBS ON)
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
set(GGML_BUILD ON)
set(GGML_SHARED ON)
set(GGML_CCACHE ON)
set(GGML_BACKEND_DL ON)
set(GGML_BACKEND_SHARED ON)
set(GGML_SCHED_MAX_COPIES 4)
set(GGML_CPU_ALL_VARIANTS ON)
set(GGML_CUDA_PEER_MAX_BATCH_SIZE 128)
set(GGML_LLAMAFILE ON)
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src)
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src/include)
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src/ggml-cpu)
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src/ggml-cpu/amx)
set(GGML_CPU ON)
add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src)
set_property(TARGET ggml PROPERTY EXCLUDE_FROM_ALL TRUE)
check_language(CUDA)
if(CMAKE_CUDA_COMPILER)
add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src/ggml-cuda)
endif()
check_language(HIP)
if(CMAKE_HIP_COMPILER)
add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src/ggml-hip)
endif()

View File

@@ -1,96 +0,0 @@
{
"version": 3,
"configurePresets": [
{
"name": "Default",
"binaryDir": "${sourceDir}/build",
"cacheVariables": {
"CMAKE_BUILD_TYPE": "Release"
}
},
{
"name": "CUDA",
"inherits": [ "Default" ]
},
{
"name": "CUDA 11",
"inherits": [ "CUDA" ],
"cacheVariables": {
"CMAKE_CUDA_ARCHITECTURES": "50;52;53;60;61;62;70;72;75;80;86"
}
},
{
"name": "CUDA 12",
"inherits": [ "CUDA" ],
"cacheVariables": {
"CMAKE_CUDA_ARCHITECTURES": "60;61;62;70;72;75;80;86;87;89;90;90a"
}
},
{
"name": "JetPack 5",
"inherits": [ "CUDA" ],
"cacheVariables": {
"CMAKE_CUDA_ARCHITECTURES": "72;87"
}
},
{
"name": "JetPack 6",
"inherits": [ "CUDA" ],
"cacheVariables": {
"CMAKE_CUDA_ARCHITECTURES": "87"
}
},
{
"name": "ROCm",
"inherits": [ "Default" ]
},
{
"name": "ROCm 6",
"inherits": [ "ROCm" ],
"cacheVariables": {
"CMAKE_HIP_ARCHITECTURES": "gfx900;gfx940;gfx941;gfx942;gfx1010;gfx1012;gfx1030;gfx1100;gfx1101;gfx1102"
}
}
],
"buildPresets": [
{
"name": "Default",
"configurePreset": "Default"
},
{
"name": "CUDA",
"configurePreset": "CUDA",
"targets": [ "ggml-cuda" ]
},
{
"name": "CUDA 11",
"inherits": [ "CUDA" ],
"configurePreset": "CUDA 11"
},
{
"name": "CUDA 12",
"inherits": [ "CUDA" ],
"configurePreset": "CUDA 12"
},
{
"name": "JetPack 5",
"inherits": [ "CUDA" ],
"configurePreset": "JetPack 5"
},
{
"name": "JetPack 6",
"inherits": [ "CUDA" ],
"configurePreset": "JetPack 6"
},
{
"name": "ROCm",
"configurePreset": "ROCm",
"targets": [ "ggml-hip" ]
},
{
"name": "ROCm 6",
"inherits": [ "ROCm" ],
"configurePreset": "ROCm 6"
}
]
}

View File

@@ -1,66 +0,0 @@
ARG CUDA_11_VERSION=11.3
ARG CUDA_12_VERSION=12.4
ARG ROCM_VERSION=6.1.2
ARG JETPACK_5_VERSION=r35.4.1
ARG JETPACK_6_VERSION=r36.2.0
ARG CMAKE_VERSION=3.31.2
FROM --platform=linux/amd64 rocm/dev-centos-7:${ROCM_VERSION}-complete AS base
ARG CMAKE_VERSION
RUN curl -fsSL https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-x86_64.tar.gz | tar xz -C /usr --strip-components 1
RUN sed -i -e 's/mirror.centos.org/vault.centos.org/g' -e 's/^#.*baseurl=http/baseurl=http/g' -e 's/^mirrorlist=http/#mirrorlist=http/g' /etc/yum.repos.d/*.repo \
&& yum-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo
# FROM --platform=linux/arm64 rockylinux:8 AS base
# ARG CMAKE_VERSION
# RUN curl -fsSL https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-aarch64.tar.gz | tar xz -C /usr --strip-components 1
# RUN yum-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/sbsa/cuda-rhel8.repo
FROM base AS amd64
ARG CUDA_11_VERSION
ARG CUDA_12_VERSION
RUN yum install -y cuda-toolkit-${CUDA_11_VERSION//./-} \
&& yum install -y cuda-toolkit-${CUDA_12_VERSION//./-}
COPY CMakeLists.txt CMakeLists.txt
COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
FROM --platform=linux/amd64 amd64 AS cuda_11
ENV PATH=/usr/local/cuda-${CUDA_11_VERSION}/bin:$PATH
RUN cmake -S . -B build -DCMAKE_CUDA_ARCHITECTURES="50;52;53;60;61;62;70;72;75;80;86"
RUN cmake --build build --target ggml-cuda -j
FROM --platform=linux/amd64 amd64 AS cuda_12
ENV PATH=/usr/local/cuda-${CUDA_12_VERSION}/bin:$PATH
RUN cmake -S . -B build -DCMAKE_CUDA_ARCHITECTURES="60;61;62;70;72;75;80;86;87;89;90;90a"
RUN cmake --build build --target ggml-cuda -j
FROM --platform=linux/amd64 amd64 AS rocm
RUN cmake -S . -B build -DCMAKE_HIP_ARCHITECTURES="gfx900;gfx940;gfx941;gfx942;gfx1010;gfx1012;gfx1030;gfx1100;gfx1101;gfx1102"
RUN cmake --build build --target ggml-hip -j
FROM --platform=linux/arm64 nvcr.io/nvidia/l4t-jetpack:${JETPACK_5_VERSION} AS jetpack_5
ARG CMAKE_VERSION
RUN curl -fsSL https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-aarch64.tar.gz | tar xz -C /usr --strip-components 1
COPY CMakeLists.txt .
COPY ml/backend/ggml/ggml .
RUN cmake -S . -B build \
-DCMAKE_CUDA_ARCHITECTURES="72;87"
RUN cmake --build build --target ggml-cuda
FROM --platform=linux/arm64 nvcr.io/nvidia/l4t-jetpack:${JETPACK_6_VERSION} AS jetpack_6
ARG CMAKE_VERSION
RUN curl -fsSL https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-aarch64.tar.gz | tar xz -C /usr --strip-components 1
COPY CMakeLists.txt .
COPY ml/backend/ggml/ggml .
RUN cmake -S . -B build \
-DCMAKE_CUDA_ARCHITECTURES="87"
RUN cmake --build build --target ggml-cuda
FROM --platform=linux/amd64 golang:1.23
COPY --from=cuda_11 build/ml/backend/ggml/ggml/src/ggml-cuda/libggml-cuda.so libggml-cuda-11.so
COPY --from=cuda_12 build/ml/backend/ggml/ggml/src/ggml-cuda/libggml-cuda.so libggml-cuda-12.so
COPY --from=rocm build/ml/backend/ggml/ggml/src/ggml-hip/libggml-hip.so libggml-hip.so
# FROM --platform=linux/arm64 golang:1.23
# COPY --from=jetpack_5 build/ml/backend/ggml/ggml/src/ggml-cuda/libggml-cuda.so libggml-cuda-jetpack-5.so
# COPY --from=jetpack_6 build/ml/backend/ggml/ggml/src/ggml-cuda/libggml-cuda.so libggml-cuda-jetpack-6.so

103
Makefile Normal file
View File

@@ -0,0 +1,103 @@
# top level makefile for Ollama
include make/common-defs.make
# Determine which if any GPU runners we should build
include make/cuda-v11-defs.make
include make/cuda-v12-defs.make
include make/rocm-defs.make
ifeq ($(CUSTOM_CPU_FLAGS),)
ifeq ($(ARCH),amd64)
RUNNER_TARGETS=cpu
endif
# Without CUSTOM_CPU_FLAGS we default to build both v11 and v12 if present
ifeq ($(OLLAMA_SKIP_CUDA_GENERATE),)
ifneq ($(CUDA_11_COMPILER),)
RUNNER_TARGETS += cuda_v11
endif
ifneq ($(CUDA_12_COMPILER),)
RUNNER_TARGETS += cuda_v12
endif
endif
else # CUSTOM_CPU_FLAGS is set, we'll build only the latest cuda version detected
ifneq ($(CUDA_12_COMPILER),)
RUNNER_TARGETS += cuda_v12
else ifneq ($(CUDA_11_COMPILER),)
RUNNER_TARGETS += cuda_v11
endif
endif
ifeq ($(OLLAMA_SKIP_ROCM_GENERATE),)
ifneq ($(HIP_COMPILER),)
RUNNER_TARGETS += rocm
endif
endif
all: runners exe
dist: $(addprefix dist_, $(RUNNER_TARGETS)) dist_exe
dist_%:
@$(MAKE) --no-print-directory -f make/Makefile.$* dist
runners: $(RUNNER_TARGETS)
$(RUNNER_TARGETS):
@$(MAKE) --no-print-directory -f make/Makefile.$@
exe dist_exe:
@$(MAKE) --no-print-directory -f make/Makefile.ollama $@
help-sync apply-patches create-patches sync sync-clean:
@$(MAKE) --no-print-directory -f make/Makefile.sync $@
test integration lint:
@$(MAKE) --no-print-directory -f make/Makefile.test $@
clean:
rm -rf $(BUILD_DIR) $(DIST_LIB_DIR) $(OLLAMA_EXE) $(DIST_OLLAMA_EXE)
go clean -cache
help:
@echo "The following make targets will help you build Ollama"
@echo ""
@echo " make all # (default target) Build Ollama llm subprocess runners, and the primary ollama executable"
@echo " make runners # Build Ollama llm subprocess runners; after you may use 'go build .' to build the primary ollama exectuable"
@echo " make <runner> # Build specific runners. Enabled: '$(RUNNER_TARGETS)'"
@echo " make dist # Build the runners and primary ollama executable for distribution"
@echo " make help-sync # Help information on vendor update targets"
@echo " make help-runners # Help information on runner targets"
@echo ""
@echo "The following make targets will help you test Ollama"
@echo ""
@echo " make test # Run unit tests"
@echo " make integration # Run integration tests. You must 'make all' first"
@echo " make lint # Run lint and style tests"
@echo ""
@echo "For more information see 'docs/development.md'"
@echo ""
help-runners:
@echo "The following runners will be built based on discovered GPU libraries: '$(RUNNER_TARGETS)'"
@echo ""
@echo "GPU Runner CPU Flags: '$(GPU_RUNNER_CPU_FLAGS)' (Override with CUSTOM_CPU_FLAGS)"
@echo ""
@echo "# CUDA_PATH sets the location where CUDA toolkits are present"
@echo "CUDA_PATH=$(CUDA_PATH)"
@echo " CUDA_11_PATH=$(CUDA_11_PATH)"
@echo " CUDA_11_COMPILER=$(CUDA_11_COMPILER)"
@echo " CUDA_12_PATH=$(CUDA_12_PATH)"
@echo " CUDA_12_COMPILER=$(CUDA_12_COMPILER)"
@echo ""
@echo "# HIP_PATH sets the location where the ROCm toolkit is present"
@echo "HIP_PATH=$(HIP_PATH)"
@echo " HIP_COMPILER=$(HIP_COMPILER)"
.PHONY: all exe dist help help-sync help-runners test integration lint runners clean $(RUNNER_TARGETS)
# Handy debugging for make variables
print-%:
@echo '$*=$($*)'

View File

@@ -1,46 +0,0 @@
UPSTREAM=https://github.com/ggerganov/llama.cpp.git
WORKDIR=llama/vendor
FETCH_HEAD=46e3556e01b824e52395fb050b29804b6cff2a7c
all: sync
.PHONY: sync
sync: llama/llama.cpp ml/backend/ggml/ggml
.PHONY: llama/llama.cpp
llama/llama.cpp: llama/vendor/ apply_patches
rsync -arvzc -f "merge $@/.rsync-filter" $< $@
.PHONY: ml/backend/ggml/ggml apply_patches
ml/backend/ggml/ggml: llama/vendor/ggml/ apply_patches
rsync -arvzc -f "merge $@/.rsync-filter" $< $@
PATCHES=$(wildcard llama/patches/*.patch)
.PHONY: apply_patches
.NOTPARALLEL:
apply_patches: $(addsuffix ed, $(PATCHES))
%.patched: %.patch
@if git -c user.name=nobody -c 'user.email=<>' -C $(WORKDIR) am -3 $(realpath $<); then touch $@; else git -C $(WORKDIR) am --abort; exit 1; fi
.PHONY: checkout
checkout: $(WORKDIR)
git -C $(WORKDIR) fetch
git -C $(WORKDIR) checkout -f $(FETCH_HEAD)
$(WORKDIR):
git clone $(UPSTREAM) $(WORKDIR)
.PHONE: format_patches
format_patches: llama/patches
git -C $(WORKDIR) format-patch \
--no-signature \
--no-numbered \
--zero-commit \
-o $(realpath $<) \
$(FETCH_HEAD)
.PHONE: clean
clean: checkout
$(RM) $(addsuffix ed, $(PATCHES))

View File

@@ -369,6 +369,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Minima](https://github.com/dmayboroda/minima) (RAG with on-premises or fully local workflow)
- [aidful-ollama-model-delete](https://github.com/AidfulAI/aidful-ollama-model-delete) (User interface for simplified model cleanup)
- [Perplexica](https://github.com/ItzCrazyKns/Perplexica) (An AI-powered search engine & an open-source alternative to Perplexity AI)
- [AI Toolkit for Visual Studio Code](https://aka.ms/ai-tooklit/ollama-docs) (Microsoft-official VSCode extension to chat, test, evaluate models with Ollama support, and use them in your AI applications.)
### Cloud
@@ -481,6 +482,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [GoLamify](https://github.com/prasad89/golamify)
- [Ollama for Haskell](https://github.com/tusharad/ollama-haskell)
- [multi-llm-ts](https://github.com/nbonamy/multi-llm-ts) (A Typescript/JavaScript library allowing access to different LLM in unified API)
- [LlmTornado](https://github.com/lofcz/llmtornado) (C# library providing a unified interface for major FOSS & Commercial inference APIs)
### Mobile
@@ -540,3 +542,4 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [OpenLIT](https://github.com/openlit/openlit) is an OpenTelemetry-native tool for monitoring Ollama Applications & GPUs using traces and metrics.
- [HoneyHive](https://docs.honeyhive.ai/integrations/ollama) is an AI observability and evaluation platform for AI agents. Use HoneyHive to evaluate agent performance, interrogate failures, and monitor quality in production.
- [Langfuse](https://langfuse.com/docs/integrations/ollama) is an open source LLM observability platform that enables teams to collaboratively monitor, evaluate and debug AI applications.

63
cache/cache.go vendored
View File

@@ -1,63 +0,0 @@
package cache
import (
"github.com/ollama/ollama/ml"
)
type Options struct {
Position int
}
type Cache interface {
Sub(i int) Cache
Put(ctx ml.Context, key, value ml.Tensor, opts Options) (ml.Tensor, ml.Tensor)
}
type Simple struct {
DType ml.DType
Capacity int
keys, values []ml.Tensor
}
func (c *Simple) Sub(i int) Cache {
if i >= len(c.keys) {
c.keys = append(c.keys, make([]ml.Tensor, i-len(c.keys)+1)...)
c.values = append(c.values, make([]ml.Tensor, i-len(c.values)+1)...)
}
return &Simple{
keys: c.keys[i : i+1],
values: c.values[i : i+1],
Capacity: c.Capacity,
DType: c.DType,
}
}
func (c *Simple) Put(ctx ml.Context, key, value ml.Tensor, opts Options) (ml.Tensor, ml.Tensor) {
if c.keys[0] == nil || c.values[0] == nil {
c.keys[0] = ctx.Zeros(c.DType, int(key.Dim(0)*key.Dim(1))*c.Capacity)
c.values[0] = ctx.Zeros(c.DType, int(value.Dim(0)*value.Dim(1))*c.Capacity)
}
ctx.Forward(key.Copy(ctx, c.keys[0].View(ctx, int(key.Stride(2))*opts.Position, int(key.Dim(0)*key.Dim(1)*key.Dim(2)))))
ctx.Forward(value.Copy(ctx, c.values[0].View(ctx, int(value.Stride(2))*opts.Position, int(value.Dim(0)*value.Dim(1)*value.Dim(2)))))
n := min(c.Capacity, int(key.Dim(2))+opts.Position)
key = c.keys[0].View(ctx, 0,
int(key.Dim(0)), int(key.Stride(1)),
int(key.Dim(1)), int(key.Stride(2)),
n,
)
value = c.values[0].View(ctx, 0,
int(value.Dim(0)), int(value.Stride(1)),
int(value.Dim(1)), int(value.Stride(2)),
n,
)
// TODO shift context if necessary
return key, value
}

View File

@@ -59,7 +59,7 @@ func getModelfileName(cmd *cobra.Command) (string, error) {
_, err = os.Stat(absName)
if err != nil {
return filename, err
return "", err
}
return absName, nil

View File

@@ -279,7 +279,7 @@ func TestGetModelfileName(t *testing.T) {
name: "no modelfile specified, no modelfile exists",
modelfileName: "",
fileExists: false,
expectedName: "Modelfile",
expectedName: "",
expectedErr: os.ErrNotExist,
},
{
@@ -293,7 +293,7 @@ func TestGetModelfileName(t *testing.T) {
name: "modelfile specified, no modelfile exists",
modelfileName: "crazyfile",
fileExists: false,
expectedName: "crazyfile",
expectedName: "",
expectedErr: os.ErrNotExist,
},
{

View File

@@ -9,7 +9,7 @@ import (
"log/slog"
"strings"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
)
type ModelParameters struct {
@@ -27,8 +27,8 @@ type AdapterParameters struct {
} `json:"lora_parameters"`
}
func (ModelParameters) KV(t *Tokenizer) ggml.KV {
kv := ggml.KV{
func (ModelParameters) KV(t *Tokenizer) llm.KV {
kv := llm.KV{
"general.file_type": uint32(1),
"general.quantization_version": uint32(2),
"tokenizer.ggml.pre": t.Pre,
@@ -54,7 +54,7 @@ func (ModelParameters) KV(t *Tokenizer) ggml.KV {
return kv
}
func (p AdapterParameters) KV() ggml.KV {
func (p AdapterParameters) KV() llm.KV {
var alpha float32
if p.LoraParameters.Alpha == 0 {
alpha = float32(p.Alpha)
@@ -62,7 +62,7 @@ func (p AdapterParameters) KV() ggml.KV {
alpha = p.LoraParameters.Alpha
}
kv := ggml.KV{
kv := llm.KV{
"adapter.lora.alpha": alpha,
"adapter.type": "lora",
"general.file_type": uint32(1),
@@ -79,19 +79,19 @@ func (ModelParameters) specialTokenTypes() []string {
}
}
func (ModelParameters) writeFile(ws io.WriteSeeker, kv ggml.KV, ts []ggml.Tensor) error {
return ggml.WriteGGUF(ws, kv, ts)
func (ModelParameters) writeFile(ws io.WriteSeeker, kv llm.KV, ts []llm.Tensor) error {
return llm.WriteGGUF(ws, kv, ts)
}
func (AdapterParameters) writeFile(ws io.WriteSeeker, kv ggml.KV, ts []ggml.Tensor) error {
return ggml.WriteGGUF(ws, kv, ts)
func (AdapterParameters) writeFile(ws io.WriteSeeker, kv llm.KV, ts []llm.Tensor) error {
return llm.WriteGGUF(ws, kv, ts)
}
type ModelConverter interface {
// KV maps parameters to LLM key-values
KV(*Tokenizer) ggml.KV
KV(*Tokenizer) llm.KV
// Tensors maps input tensors to LLM tensors. Model specific modifications can be done here.
Tensors([]Tensor) []ggml.Tensor
Tensors([]Tensor) []llm.Tensor
// Replacements returns a list of string pairs to replace in tensor names.
// See [strings.Replacer](https://pkg.go.dev/strings#Replacer) for details
Replacements() []string
@@ -99,7 +99,7 @@ type ModelConverter interface {
// specialTokenTypes returns any special token types the model uses
specialTokenTypes() []string
// writeFile writes the model to the provided io.WriteSeeker
writeFile(io.WriteSeeker, ggml.KV, []ggml.Tensor) error
writeFile(io.WriteSeeker, llm.KV, []llm.Tensor) error
}
type moreParser interface {
@@ -108,17 +108,17 @@ type moreParser interface {
type AdapterConverter interface {
// KV maps parameters to LLM key-values
KV(ggml.KV) ggml.KV
KV(llm.KV) llm.KV
// Tensors maps input tensors to LLM tensors. Adapter specific modifications can be done here.
Tensors([]Tensor) []ggml.Tensor
Tensors([]Tensor) []llm.Tensor
// Replacements returns a list of string pairs to replace in tensor names.
// See [strings.Replacer](https://pkg.go.dev/strings#Replacer) for details
Replacements() []string
writeFile(io.WriteSeeker, ggml.KV, []ggml.Tensor) error
writeFile(io.WriteSeeker, llm.KV, []llm.Tensor) error
}
func ConvertAdapter(fsys fs.FS, ws io.WriteSeeker, baseKV ggml.KV) error {
func ConvertAdapter(fsys fs.FS, ws io.WriteSeeker, baseKV llm.KV) error {
bts, err := fs.ReadFile(fsys, "adapter_config.json")
if err != nil {
return err
@@ -191,6 +191,8 @@ func ConvertModel(fsys fs.FS, ws io.WriteSeeker) error {
conv = &qwen2Model{}
case "BertModel":
conv = &bertModel{}
case "CohereForCausalLM":
conv = &commandrModel{}
default:
return errors.New("unsupported architecture")
}

View File

@@ -8,7 +8,7 @@ import (
"slices"
"strings"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
)
type bertModel struct {
@@ -85,7 +85,7 @@ func (p *bertModel) parseMore(fsys fs.FS) error {
return nil
}
func (p *bertModel) KV(t *Tokenizer) ggml.KV {
func (p *bertModel) KV(t *Tokenizer) llm.KV {
kv := p.ModelParameters.KV(t)
kv["general.architecture"] = "bert"
kv["bert.attention.causal"] = false
@@ -132,8 +132,8 @@ func (p *bertModel) KV(t *Tokenizer) ggml.KV {
return kv
}
func (p *bertModel) Tensors(ts []Tensor) []ggml.Tensor {
var out []ggml.Tensor
func (p *bertModel) Tensors(ts []Tensor) []llm.Tensor {
var out []llm.Tensor
for _, t := range ts {
if slices.Contains([]string{
"embeddings.position_ids",
@@ -143,7 +143,7 @@ func (p *bertModel) Tensors(ts []Tensor) []ggml.Tensor {
continue
}
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: t.Name(),
Kind: t.Kind(),
Shape: t.Shape(),

View File

@@ -0,0 +1,76 @@
package convert
import (
"cmp"
"github.com/ollama/ollama/llm"
)
type commandrModel struct {
ModelParameters
MaxPositionEmbeddings uint32 `json:"max_position_embeddings"`
HiddenSize uint32 `json:"hidden_size"`
HiddenLayers uint32 `json:"num_hidden_layers"`
IntermediateSize uint32 `json:"intermediate_size"`
NumAttentionHeads uint32 `json:"num_attention_heads"`
NumKeyValueHeads uint32 `json:"num_key_value_heads"`
LayerNormEPS float32 `json:"layer_norm_eps"`
RopeTheta float32 `json:"rope_theta"`
UseQKNorm bool `json:"use_qk_norm"`
MaxLength uint32 `json:"model_max_length"`
LogitScale float32 `json:"logit_scale"`
NCtx uint32 `json:"n_ctx"`
}
var _ ModelConverter = (*commandrModel)(nil)
func (p *commandrModel) KV(t *Tokenizer) llm.KV {
kv := p.ModelParameters.KV(t)
kv["general.architecture"] = "command-r"
kv["general.name"] = "command-r"
kv["command-r.context_length"] = cmp.Or(p.MaxLength, p.MaxPositionEmbeddings, p.NCtx)
kv["command-r.embedding_length"] = p.HiddenSize
kv["command-r.block_count"] = p.HiddenLayers
kv["command-r.feed_forward_length"] = p.IntermediateSize
kv["command-r.attention.head_count"] = p.NumAttentionHeads
kv["command-r.attention.head_count_kv"] = p.NumKeyValueHeads
kv["command-r.attention.layer_norm_epsilon"] = p.LayerNormEPS
kv["command-r.rope.freq_base"] = p.RopeTheta
kv["command-r.max_position_embeddings"] = cmp.Or(p.MaxLength, p.MaxPositionEmbeddings)
kv["command-r.logit_scale"] = p.LogitScale
kv["command-r.rope.scaling.type"] = "none"
return kv
}
func (p *commandrModel) Tensors(ts []Tensor) []llm.Tensor {
var out []llm.Tensor
for _, t := range ts {
out = append(out, llm.Tensor{
Name: t.Name(),
Kind: t.Kind(),
Shape: t.Shape(),
WriterTo: t,
})
}
return out
}
func (p *commandrModel) Replacements() []string {
return []string{
"self_attn.q_norm", "attn_q_norm",
"self_attn.k_norm", "attn_k_norm",
"model.layers", "blk",
"input_layernorm", "attn_norm",
"mlp.down_proj", "ffn_down",
"mlp.gate_proj", "ffn_gate",
"mlp.up_proj", "ffn_up",
"self_attn.k_proj", "attn_k",
"self_attn.o_proj", "attn_output",
"self_attn.q_proj", "attn_q",
"self_attn.v_proj", "attn_v",
"model.norm", "output_norm",
"model.embed_tokens", "token_embd",
}
}

View File

@@ -6,7 +6,7 @@ import (
"github.com/pdevine/tensor"
"github.com/pdevine/tensor/native"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
)
type gemmaModel struct {
@@ -23,7 +23,7 @@ type gemmaModel struct {
var _ ModelConverter = (*gemmaModel)(nil)
func (p *gemmaModel) KV(t *Tokenizer) ggml.KV {
func (p *gemmaModel) KV(t *Tokenizer) llm.KV {
kv := p.ModelParameters.KV(t)
kv["general.architecture"] = "gemma"
kv["gemma.context_length"] = p.MaxPositionEmbeddings
@@ -42,14 +42,14 @@ func (p *gemmaModel) KV(t *Tokenizer) ggml.KV {
return kv
}
func (p *gemmaModel) Tensors(ts []Tensor) []ggml.Tensor {
var out []ggml.Tensor
func (p *gemmaModel) Tensors(ts []Tensor) []llm.Tensor {
var out []llm.Tensor
for _, t := range ts {
if strings.HasSuffix(t.Name(), "_norm.weight") {
t.SetRepacker(p.addOne)
}
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: t.Name(),
Kind: t.Kind(),
Shape: t.Shape(),

View File

@@ -1,6 +1,8 @@
package convert
import "github.com/ollama/ollama/fs/ggml"
import (
"github.com/ollama/ollama/llm"
)
type gemma2Model struct {
gemmaModel
@@ -9,7 +11,7 @@ type gemma2Model struct {
FinalLogitSoftcap float32 `json:"final_logit_softcapping"`
}
func (p *gemma2Model) KV(t *Tokenizer) ggml.KV {
func (p *gemma2Model) KV(t *Tokenizer) llm.KV {
kv := p.ModelParameters.KV(t)
kv["general.architecture"] = "gemma2"
kv["gemma2.context_length"] = p.MaxPositionEmbeddings

View File

@@ -6,7 +6,7 @@ import (
"github.com/pdevine/tensor"
"github.com/pdevine/tensor/native"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
)
type gemma2Adapter struct {
@@ -15,14 +15,14 @@ type gemma2Adapter struct {
var _ AdapterConverter = (*gemma2Adapter)(nil)
func (p *gemma2Adapter) KV(baseKV ggml.KV) ggml.KV {
func (p *gemma2Adapter) KV(baseKV llm.KV) llm.KV {
kv := p.AdapterParameters.KV()
kv["general.architecture"] = "gemma2"
return kv
}
func (p *gemma2Adapter) Tensors(ts []Tensor) []ggml.Tensor {
var out []ggml.Tensor
func (p *gemma2Adapter) Tensors(ts []Tensor) []llm.Tensor {
var out []llm.Tensor
for _, t := range ts {
shape := t.Shape()
if (strings.HasSuffix(t.Name(), "weight.lora_a") && shape[0] > shape[1]) ||
@@ -31,7 +31,7 @@ func (p *gemma2Adapter) Tensors(ts []Tensor) []ggml.Tensor {
t.SetRepacker(p.repack)
}
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: t.Name(),
Kind: t.Kind(),
Shape: t.Shape(),

View File

@@ -9,7 +9,7 @@ import (
"github.com/pdevine/tensor"
"github.com/pdevine/tensor/native"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
)
type llamaModel struct {
@@ -46,7 +46,7 @@ type llamaModel struct {
var _ ModelConverter = (*llamaModel)(nil)
func (p *llamaModel) KV(t *Tokenizer) ggml.KV {
func (p *llamaModel) KV(t *Tokenizer) llm.KV {
kv := p.ModelParameters.KV(t)
kv["general.architecture"] = "llama"
kv["llama.vocab_size"] = p.VocabSize
@@ -120,11 +120,11 @@ func (p *llamaModel) KV(t *Tokenizer) ggml.KV {
return kv
}
func (p *llamaModel) Tensors(ts []Tensor) []ggml.Tensor {
var out []ggml.Tensor
func (p *llamaModel) Tensors(ts []Tensor) []llm.Tensor {
var out []llm.Tensor
if p.RopeScaling.factors != nil {
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: "rope_freqs.weight",
Kind: 0,
Shape: []uint64{uint64(len(p.RopeScaling.factors))},
@@ -138,7 +138,7 @@ func (p *llamaModel) Tensors(ts []Tensor) []ggml.Tensor {
t.SetRepacker(p.repack)
}
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: t.Name(),
Kind: t.Kind(),
Shape: t.Shape(),

View File

@@ -7,7 +7,7 @@ import (
"github.com/pdevine/tensor"
"github.com/pdevine/tensor/native"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
)
type llamaAdapter struct {
@@ -18,7 +18,7 @@ type llamaAdapter struct {
var _ AdapterConverter = (*llamaAdapter)(nil)
func (p *llamaAdapter) KV(baseKV ggml.KV) ggml.KV {
func (p *llamaAdapter) KV(baseKV llm.KV) llm.KV {
kv := p.AdapterParameters.KV()
kv["general.architecture"] = "llama"
kv["llama.attention.head_count"] = baseKV["llama.attention.head_count"]
@@ -29,8 +29,8 @@ func (p *llamaAdapter) KV(baseKV ggml.KV) ggml.KV {
return kv
}
func (p *llamaAdapter) Tensors(ts []Tensor) []ggml.Tensor {
var out []ggml.Tensor
func (p *llamaAdapter) Tensors(ts []Tensor) []llm.Tensor {
var out []llm.Tensor
for _, t := range ts {
shape := t.Shape()
if (strings.HasSuffix(t.Name(), "weight.lora_a") && shape[0] > shape[1]) ||
@@ -41,7 +41,7 @@ func (p *llamaAdapter) Tensors(ts []Tensor) []ggml.Tensor {
t.SetRepacker(p.repack)
}
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: t.Name(),
Kind: t.Kind(),
Shape: shape,

View File

@@ -6,7 +6,7 @@ import (
"slices"
"strings"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
)
type mixtralModel struct {
@@ -15,7 +15,7 @@ type mixtralModel struct {
NumExpertsPerToken uint32 `json:"num_experts_per_tok"`
}
func (p *mixtralModel) KV(t *Tokenizer) ggml.KV {
func (p *mixtralModel) KV(t *Tokenizer) llm.KV {
kv := p.llamaModel.KV(t)
if p.NumLocalExperts > 0 {
@@ -29,7 +29,7 @@ func (p *mixtralModel) KV(t *Tokenizer) ggml.KV {
return kv
}
func (p *mixtralModel) Tensors(ts []Tensor) []ggml.Tensor {
func (p *mixtralModel) Tensors(ts []Tensor) []llm.Tensor {
oldnew := []string{
"model.layers", "blk",
"w1", "ffn_gate_exps",
@@ -56,10 +56,10 @@ func (p *mixtralModel) Tensors(ts []Tensor) []ggml.Tensor {
return true
})
var out []ggml.Tensor
var out []llm.Tensor
for n, e := range experts {
// TODO(mxyng): sanity check experts
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: n,
Kind: e[0].Kind(),
Shape: append([]uint64{uint64(len(e))}, e[0].Shape()...),

View File

@@ -8,7 +8,7 @@ import (
"strings"
"sync"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
)
type phi3Model struct {
@@ -37,7 +37,7 @@ type phi3Model struct {
var _ ModelConverter = (*phi3Model)(nil)
func (p *phi3Model) KV(t *Tokenizer) ggml.KV {
func (p *phi3Model) KV(t *Tokenizer) llm.KV {
kv := p.ModelParameters.KV(t)
kv["general.architecture"] = "phi3"
kv["phi3.context_length"] = p.MaxPositionEmbeddings
@@ -68,19 +68,19 @@ func (p *phi3Model) KV(t *Tokenizer) ggml.KV {
return kv
}
func (p *phi3Model) Tensors(ts []Tensor) []ggml.Tensor {
func (p *phi3Model) Tensors(ts []Tensor) []llm.Tensor {
var addRopeFactors sync.Once
out := make([]ggml.Tensor, 0, len(ts)+2)
out := make([]llm.Tensor, 0, len(ts)+2)
for _, t := range ts {
if strings.HasPrefix(t.Name(), "blk.0.") {
addRopeFactors.Do(func() {
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: "rope_factors_long.weight",
Kind: 0,
Shape: []uint64{uint64(len(p.RopeScaling.LongFactor))},
WriterTo: p.RopeScaling.LongFactor,
}, ggml.Tensor{
}, llm.Tensor{
Name: "rope_factors_short.weight",
Kind: 0,
Shape: []uint64{uint64(len(p.RopeScaling.ShortFactor))},
@@ -89,7 +89,7 @@ func (p *phi3Model) Tensors(ts []Tensor) []ggml.Tensor {
})
}
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: t.Name(),
Kind: t.Kind(),
Shape: t.Shape(),

View File

@@ -1,7 +1,6 @@
package convert
import "github.com/ollama/ollama/fs/ggml"
import "github.com/ollama/ollama/llm"
type qwen2Model struct {
ModelParameters
@@ -22,7 +21,7 @@ type qwen2Model struct {
var _ ModelConverter = (*qwen2Model)(nil)
func (q *qwen2Model) KV(t *Tokenizer) ggml.KV {
func (q *qwen2Model) KV(t *Tokenizer) llm.KV {
kv := q.ModelParameters.KV(t)
kv["general.architecture"] = "qwen2"
kv["qwen2.block_count"] = q.HiddenLayers
@@ -46,10 +45,10 @@ func (q *qwen2Model) KV(t *Tokenizer) ggml.KV {
return kv
}
func (q *qwen2Model) Tensors(ts []Tensor) []ggml.Tensor {
var out []ggml.Tensor
func (q *qwen2Model) Tensors(ts []Tensor) []llm.Tensor {
var out []llm.Tensor
for _, t := range ts {
out = append(out, ggml.Tensor{
out = append(out, llm.Tensor{
Name: t.Name(),
Kind: t.Kind(),
Shape: t.Shape(),

View File

@@ -20,7 +20,7 @@ import (
"golang.org/x/exp/maps"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
)
type tensorData struct {
@@ -29,7 +29,7 @@ type tensorData struct {
Shape []int `json:"shape"`
}
func convertFull(t *testing.T, fsys fs.FS) (*os.File, ggml.KV, ggml.Tensors) {
func convertFull(t *testing.T, fsys fs.FS) (*os.File, llm.KV, *llm.Tensors) {
t.Helper()
f, err := os.CreateTemp(t.TempDir(), "f16")
@@ -48,7 +48,7 @@ func convertFull(t *testing.T, fsys fs.FS) (*os.File, ggml.KV, ggml.Tensors) {
}
t.Cleanup(func() { r.Close() })
m, _, err := ggml.Decode(r, math.MaxInt)
m, _, err := llm.DecodeGGML(r, math.MaxInt)
if err != nil {
t.Fatal(err)
}
@@ -60,7 +60,7 @@ func convertFull(t *testing.T, fsys fs.FS) (*os.File, ggml.KV, ggml.Tensors) {
return r, m.KV(), m.Tensors()
}
func generateResultsJSON(t *testing.T, f *os.File, kv ggml.KV, tensors ggml.Tensors) map[string]string {
func generateResultsJSON(t *testing.T, f *os.File, kv llm.KV, tensors *llm.Tensors) map[string]string {
actual := make(map[string]string)
for k, v := range kv {
if s, ok := v.(json.Marshaler); !ok {
@@ -75,7 +75,7 @@ func generateResultsJSON(t *testing.T, f *os.File, kv ggml.KV, tensors ggml.Tens
}
}
for _, tensor := range tensors.Items() {
for _, tensor := range tensors.Items {
sha256sum := sha256.New()
sr := io.NewSectionReader(f, int64(tensors.Offset+tensor.Offset), int64(tensor.Size()))
if _, err := io.Copy(sha256sum, sr); err != nil {
@@ -109,6 +109,7 @@ func TestConvertModel(t *testing.T) {
"all-MiniLM-L6-v2",
"gemma-2-9b-it",
"Qwen2.5-0.5B-Instruct",
"c4ai-command-r-v01",
}
for i := range cases {
@@ -331,7 +332,7 @@ func TestConvertAdapter(t *testing.T) {
}
defer r.Close()
m, _, err := ggml.Decode(r, math.MaxInt)
m, _, err := llm.DecodeGGML(r, math.MaxInt)
if err != nil {
t.Fatal(err)
}

344
convert/testdata/c4ai-command-r-v01.json vendored Normal file
View File

@@ -0,0 +1,344 @@
{
"general.architecture": "command-r",
"general.name": "command-r",
"command-r.attention.head_count": "64",
"command-r.attention.head_count_kv": "64",
"command-r.attention.layer_norm_epsilon": "1e-05",
"command-r.block_count": "40",
"command-r.context_length": "131072",
"command-r.embedding_length": "8192",
"command-r.feed_forward_length": "22528",
"command-r.logit_scale": "0.0625",
"command-r.rope.freq_base": "8e+06",
"command-r.rope.scaling.type": "none",
"tokenizer.ggml.add_bos_token": "true",
"tokenizer.ggml.add_eos_token": "false",
"tokenizer.ggml.bos_token_id": "5",
"tokenizer.ggml.eos_token_id": "255001",
"tokenizer.ggml.merges": "902a060cac8884a5793d2a857dd2e53a259de46c8d08c4deb243c239671e1350",
"tokenizer.ggml.model": "gpt2",
"tokenizer.ggml.padding_token_id": "0",
"tokenizer.ggml.token_type": "b7a352ccd1c99d4413bcf452c2db707b0526d0e1216616b865560fab80296462",
"tokenizer.ggml.tokens": "815ac90ff23565081522d7258f46648c8a0619eb847a9c7c31b238a9b984e4ae",
"blk.0.attn_k.weight": "6fcfdb466f9ceb1229404ce4ec4e480751b8d00da12707a11783dad7256cb864",
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"blk.0.attn_output.weight": "920f49716a1e2fc73b6794ec777947f1c122701e63ed302422ac89e90f06e9da",
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"blk.0.ffn_up.weight": "5282c8788b086bd30f46525e7995a17464882a72703fd27165491afdd8bfd4af",
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"blk.35.ffn_up.weight": "1c4330d9dc71bf4c98812c34356c51f520f47610a534152aa6d29284b758090d",
"blk.36.attn_k.weight": "ef720655e5ca2465f13db2dfc4732fb4ef2c9d53acde52f514fd4f301e974081",
"blk.36.attn_norm.weight": "88f4b9310b3c8c2644e3029160cd35678c79dfa59280430e03f5c29a6fe84a58",
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"blk.36.ffn_gate.weight": "7f5f296d09cf55679767b5d15de3eff489c456782119f25204be4b1647f18dcf",
"blk.36.ffn_up.weight": "b7ef74a1f7ffb4982711d93f1787be3a70edc3d2358d5203c41d8900508037d4",
"blk.37.attn_k.weight": "c4ffa5412e4ff2dcfe1aed991c1f54169fd171a4c7638e4b9f21a1ca64c5e1d6",
"blk.37.attn_norm.weight": "4eb6c888d841cccfacf5b963f8611120f6ff24b84af0b5714fd9ab36dcda422f",
"blk.37.attn_output.weight": "db2a7bbf9682f9f6eea672dae8e150738f1bf74dbc80edc7022017a3f040c8ac",
"blk.37.attn_q.weight": "e38c0462aff139afcbab289189823527e453abc9e541154adde5e7af88cacf0b",
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"blk.37.ffn_down.weight": "25f23a8fbc44febf6dc4848fd7fe03a580e2822bd3b3b5a51f4990826bfe3e4e",
"blk.37.ffn_gate.weight": "707da5eb40118b035305d3262444382351f170a20a537386a70e90c5a83a7817",
"blk.37.ffn_up.weight": "d2d2ba5cfc4ef47338dd7384219e22bf030a5a2209e0354d88f5bbaaafd20e87",
"blk.38.attn_k.weight": "abc4bb189dedf7ce661e79028427623a4f91ac091c2cd60e31b58bc62b1cda71",
"blk.38.attn_norm.weight": "9f4803a7d03fd40fcb83d85f84eb1d5682ea4e5bb084f210c02850675d804c3d",
"blk.38.attn_output.weight": "77cb66007f1a41df7135d0e7f900ceb499c2f667dfc3f1a6ac01a3203bbd3ccf",
"blk.38.attn_q.weight": "d94a8b26cd375bf2bcaa76597e314aa8268ee50a479d00931e5e0e021feadb5d",
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"blk.38.ffn_down.weight": "6f06173bae5b00ffaf88ef383619a8b9c6a8d0d5c6494695d17f6c1de1a68a13",
"blk.38.ffn_gate.weight": "89f99be149d03f116527bfcabe073c50001c874de40fb6e817f6619027f3cd05",
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"output_norm.weight": "2858cf0e39d32caf52b7861378ace076000241e147f10b9eb21d8a5cd149e3cb"
}

View File

@@ -718,18 +718,23 @@ func (l GpuInfoList) GetVisibleDevicesEnv() (string, string) {
func LibraryDirs() []string {
// dependencies can exist wherever we found the runners (e.g. build tree for developers) and relative to the executable
// This can be simplified once we no longer carry runners as payloads
exe, err := os.Executable()
paths := []string{}
appExe, err := os.Executable()
if err != nil {
slog.Warn("failed to lookup executable path", "error", err)
return nil
} else {
appRelative := filepath.Join(filepath.Dir(appExe), envconfig.LibRelativeToExe(), "lib", "ollama")
if _, err := os.Stat(appRelative); err == nil {
paths = append(paths, appRelative)
}
lib := filepath.Join(filepath.Dir(exe), envconfig.LibRelativeToExe(), "lib", "ollama")
if _, err := os.Stat(lib); err != nil {
return nil
}
return []string{lib}
rDir := runners.Locate()
if err != nil {
slog.Warn("unable to locate gpu dependency libraries", "error", err)
} else {
paths = append(paths, filepath.Dir(rDir))
}
return paths
}
func GetSystemInfo() SystemInfo {

View File

@@ -2,7 +2,7 @@
### Getting Started
* [Quickstart](../README.md#quickstart)
* [Examples](../examples)
* [Examples](./examples.md)
* [Importing models](./import.md)
* [Linux Documentation](./linux.md)
* [Windows Documentation](./windows.md)

View File

@@ -38,7 +38,7 @@ Numeric IDs may be used, however ordering may vary, so UUIDs are more reliable.
You can discover the UUID of your GPUs by running `nvidia-smi -L` If you want to
ignore the GPUs and force CPU usage, use an invalid GPU ID (e.g., "-1")
### Laptop Suspend Resume
### Linux Suspend Resume
On linux, after a suspend/resume cycle, sometimes Ollama will fail to discover
your NVIDIA GPU, and fallback to running on the CPU. You can workaround this

View File

@@ -67,8 +67,6 @@ To use this:
3. `ollama run choose-a-model-name`
4. Start using the model!
More examples are available in the [examples directory](../examples).
To view the Modelfile of a given model, use the `ollama show --modelfile` command.
```bash
@@ -155,7 +153,6 @@ PARAMETER <parameter> <parametervalue>
| temperature | The temperature of the model. Increasing the temperature will make the model answer more creatively. (Default: 0.8) | float | temperature 0.7 |
| seed | Sets the random number seed to use for generation. Setting this to a specific number will make the model generate the same text for the same prompt. (Default: 0) | int | seed 42 |
| stop | Sets the stop sequences to use. When this pattern is encountered the LLM will stop generating text and return. Multiple stop patterns may be set by specifying multiple separate `stop` parameters in a modelfile. | string | stop "AI assistant:" |
| tfs_z | Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting. (default: 1) | float | tfs_z 1 |
| num_predict | Maximum number of tokens to predict when generating text. (Default: -1, infinite generation) | int | num_predict 42 |
| top_k | Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40) | int | top_k 40 |
| top_p | Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9) | float | top_p 0.9 |

View File

@@ -204,6 +204,45 @@ curl http://localhost:11434/v1/embeddings \
}'
```
## Extra arguments
### Setting context length
- `context_length` parameter can be used to set the context length for the model
#### OpenAI python library
- OpenAI python library does not support setting context length, however this can be set for Ollama through the `extra_body` parameter
```py
completion = client.chat.completions.create(
model="llama3.1:8b",
messages=[{"role": "user", "content": "Say this is a test"}],
extra_body={"context_length": 4096},
)
```
#### OpenAI JavaScript library
- OpenAI JavaScript library does not support setting context length, however this can be set for Ollama by passing `context_length` directly with a `@ts-expect-error` as an undocumented parameter in the OpenAI JavaScript library. [See documentation here](https://github.com/openai/openai-node?tab=readme-ov-file#making-customundocumented-requests)
```ts
const chatCompletion = await openai.chat.completions.create({
messages: [{ role: 'user', content: 'Say this is a test' }],
model: 'llama3.2',
// @ts-expect-error context_length is an additional parameter
context_length: 4096,
})
```
#### `curl`
```shell
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "llama3.2",
"messages": [{"role": "user", "content": "Say this is a test"}],
"context_length": 4096
}'
```
## Endpoints
### `/v1/chat/completions`
@@ -213,6 +252,7 @@ curl http://localhost:11434/v1/embeddings \
- [x] Chat completions
- [x] Streaming
- [x] JSON mode
- [x] Structured outputs
- [x] Reproducible outputs
- [x] Vision
- [x] Tools
@@ -339,27 +379,3 @@ curl http://localhost:11434/v1/chat/completions \
}'
```
### Setting the context size
The OpenAI API does not have a way of setting the context size for a model. If you need to change the context size, create a `Modelfile` which looks like:
```modelfile
FROM <some model>
PARAMETER num_ctx <context size>
```
Use the `ollama create mymodel` command to create a new model with the updated context size. Call the API with the updated model name:
```shell
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "mymodel",
"messages": [
{
"role": "user",
"content": "Hello!"
}
]
}'
```

6
go.mod
View File

@@ -17,15 +17,12 @@ require (
require (
github.com/agnivade/levenshtein v1.1.1
github.com/d4l3k/go-bfloat16 v0.0.0-20211005043715-690c3bdd05f1
github.com/dlclark/regexp2 v1.11.4
github.com/emirpasic/gods/v2 v2.0.0-alpha
github.com/google/go-cmp v0.6.0
github.com/mattn/go-runewidth v0.0.14
github.com/nlpodyssey/gopickle v0.3.0
github.com/pdevine/tensor v0.0.0-20240510204454-f88f4562727c
golang.org/x/image v0.22.0
golang.org/x/tools v0.28.0
gonum.org/v1/gonum v0.15.0
)
require (
@@ -45,6 +42,7 @@ require (
github.com/xtgo/set v1.0.0 // indirect
go4.org/unsafe/assume-no-moving-gc v0.0.0-20231121144256-b99613f794b6 // indirect
golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1 // indirect
gonum.org/v1/gonum v0.15.0 // indirect
gorgonia.org/vecf32 v0.9.0 // indirect
gorgonia.org/vecf64 v0.9.0 // indirect
)
@@ -72,7 +70,7 @@ require (
golang.org/x/arch v0.8.0 // indirect
golang.org/x/crypto v0.31.0
golang.org/x/exp v0.0.0-20231110203233-9a3e6036ecaa
golang.org/x/net v0.32.0 // indirect
golang.org/x/net v0.25.0 // indirect
golang.org/x/sys v0.28.0
golang.org/x/term v0.27.0
golang.org/x/text v0.21.0

8
go.sum
View File

@@ -42,8 +42,6 @@ github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/dgryski/trifles v0.0.0-20200323201526-dd97f9abfb48 h1:fRzb/w+pyskVMQ+UbP35JkH8yB7MYb4q/qhBarqZE6g=
github.com/dgryski/trifles v0.0.0-20200323201526-dd97f9abfb48/go.mod h1:if7Fbed8SFyPtHLHbg49SI7NAdJiC5WIA09pe59rfAA=
github.com/dlclark/regexp2 v1.11.4 h1:rPYF9/LECdNymJufQKmri9gV604RvvABwgOA8un7yAo=
github.com/dlclark/regexp2 v1.11.4/go.mod h1:DHkYz0B9wPfa6wondMfaivmHpzrQ3v9q8cnmRbL6yW8=
github.com/emirpasic/gods/v2 v2.0.0-alpha h1:dwFlh8pBg1VMOXWGipNMRt8v96dKAIvBehtCt6OtunU=
github.com/emirpasic/gods/v2 v2.0.0-alpha/go.mod h1:W0y4M2dtBB9U5z3YlghmpuUhiaZT2h6yoeE+C1sCp6A=
github.com/envoyproxy/go-control-plane v0.9.0/go.mod h1:YTl/9mNaCwkRvm6d1a2C3ymFceY/DCBVvsKhRF0iEA4=
@@ -257,8 +255,8 @@ golang.org/x/net v0.0.0-20200822124328-c89045814202/go.mod h1:/O7V0waA8r7cgGh81R
golang.org/x/net v0.0.0-20201021035429-f5854403a974/go.mod h1:sp8m0HH+o8qH0wwXwYZr8TS3Oi6o0r6Gce1SSxlDquU=
golang.org/x/net v0.0.0-20210405180319-a5a99cb37ef4/go.mod h1:p54w0d4576C0XHj96bSt6lcn1PtDYWL6XObtHCRCNQM=
golang.org/x/net v0.0.0-20210614182718-04defd469f4e/go.mod h1:9nx3DQGgdP8bBQD5qxJ1jj9UTztislL4KSBs9R2vV5Y=
golang.org/x/net v0.32.0 h1:ZqPmj8Kzc+Y6e0+skZsuACbx+wzMgo5MQsJh9Qd6aYI=
golang.org/x/net v0.32.0/go.mod h1:CwU0IoeOlnQQWJ6ioyFrfRuomB8GKF6KbYXZVyeXNfs=
golang.org/x/net v0.25.0 h1:d/OCCoBEUq33pjydKrGQhw7IlUPI2Oylr+8qLx49kac=
golang.org/x/net v0.25.0/go.mod h1:JkAGAh7GEvH74S6FOH42FLoXpXbE/aqXSrIQjXgsiwM=
golang.org/x/oauth2 v0.0.0-20180821212333-d2e6202438be/go.mod h1:N/0e6XlmueqKjAGxoOufVs8QHGRruUQn6yWY3a++T0U=
golang.org/x/oauth2 v0.0.0-20200107190931-bf48bf16ab8d/go.mod h1:gOpvHmFTYa4IltrdGE7lF6nIHvwfUNPOp7c8zoXwtLw=
golang.org/x/sync v0.0.0-20180314180146-1d60e4601c6f/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
@@ -309,8 +307,6 @@ golang.org/x/tools v0.0.0-20200130002326-2f3ba24bd6e7/go.mod h1:TB2adYChydJhpapK
golang.org/x/tools v0.0.0-20200619180055-7c47624df98f/go.mod h1:EkVYQZoAsY45+roYkvgYkIh4xh/qjgUK9TdY2XT94GE=
golang.org/x/tools v0.0.0-20210106214847-113979e3529a/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA=
golang.org/x/tools v0.1.4/go.mod h1:o0xws9oXOQQZyjljx8fwUC0k7L1pTE6eaCbjGeHmOkk=
golang.org/x/tools v0.28.0 h1:WuB6qZ4RPCQo5aP3WdKZS7i595EdWqWR8vqJTlwTVK8=
golang.org/x/tools v0.28.0/go.mod h1:dcIOrVd3mfQKTgrDVQHqCPMWy6lnhfhtX3hLXYVLfRw=
golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
golang.org/x/xerrors v0.0.0-20191011141410-1b5146add898/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=

View File

@@ -1,22 +0,0 @@
//go:build go1.24
package grammar
import "testing"
func BenchmarkFromSchema(b *testing.B) {
for tt := range testCases(b) {
b.Run("", func(b *testing.B) {
s := []byte(tt.schema)
b.ReportAllocs()
for b.Loop() {
_, err := FromSchema(nil, s)
if err != nil {
b.Fatalf("GrammarFromSchema: %v", err)
}
}
})
return
}
}

View File

@@ -1,227 +0,0 @@
package grammar
import (
"bytes"
"encoding/json"
"fmt"
"iter"
"strconv"
"github.com/ollama/ollama/grammar/jsonschema"
)
const jsonTerms = `
# Unicode
#
# Unicode characters can be specified directly in the grammar, for example
# hiragana ::= [ぁ-ゟ], or with escapes: 8-bit (\xXX), 16-bit (\uXXXX) or 32-bit
# (\UXXXXXXXX).
unicode ::= \x{hex}{2} | \u{hex}{4} | \U{hex}{8}
# JSON grammar from RFC 7159
null ::= "null"
object ::= "{" (kv ("," kv)*)? "}"
array ::= "[" (value ("," value)*)? "]"
kv ::= string ":" value
integer ::= "0" | [1-9] [0-9]*
number ::= "-"? integer frac? exp?
frac ::= "." [0-9]+
exp ::= ("e" | "E") ("+" | "-") [0-9]+
string ::= "\"" char* "\""
escape ::= ["/" | "b" | "f" | "n" | "r" | "t" | unicode]
char ::= [^"\\] | escape
space ::= (" " | "\t" | "\n" | "\r")*
hex ::= [0-9] | [a-f] | [A-F]
boolean ::= "true" | "false"
value ::= object | array | string | number | boolean | "null"
# User-defined
`
// FromSchema generates a grammar from a JSON schema.
func FromSchema(buf []byte, jsonSchema []byte) ([]byte, error) {
var s *jsonschema.Schema
if err := json.Unmarshal(jsonSchema, &s); err != nil {
return nil, err
}
var g builder
// "root" is the only rule that is guaranteed to exist, so we start
// with its length for padding, and then adjust it as we go.
g.pad = len("root")
for id := range dependencies("root", s) {
g.pad = max(g.pad, len(id))
}
g.b.WriteString(jsonTerms)
ids := make(map[*jsonschema.Schema]string)
for id, s := range dependencies("root", s) {
ids[s] = id
g.define(id)
if err := fromSchema(&g, ids, s); err != nil {
return nil, err
}
}
g.define("root")
if err := fromSchema(&g, ids, s); err != nil {
return nil, err
}
g.define("") // finalize the last rule
return g.b.Bytes(), nil
}
func fromSchema(g *builder, ids map[*jsonschema.Schema]string, s *jsonschema.Schema) error {
switch typ := s.EffectiveType(); typ {
case "array":
if len(s.PrefixItems) == 0 && s.Items == nil {
g.u("array")
} else {
g.q("[")
for i, s := range s.PrefixItems {
if i > 0 {
g.q(",")
}
g.u(ids[s])
}
if s.Items != nil {
g.u("(")
if len(s.PrefixItems) > 0 {
g.q(",")
}
g.u(ids[s.Items])
g.u(")*")
}
g.q("]")
}
case "object":
if len(s.Properties) == 0 {
g.u("object")
} else {
g.q("{")
for i, p := range s.Properties {
name := ids[p]
if i > 0 {
g.q(",")
}
g.q(p.Name)
g.q(":")
g.u(name)
}
g.q("}")
}
case "number":
buildConstrainedNumber(g, s)
case "string":
if len(s.Enum) == 0 {
g.u("string")
} else {
g.u("(")
for i, e := range s.Enum {
if i > 0 {
g.q("|")
}
g.q(string(e))
}
g.u(")")
}
case "boolean", "value", "null", "integer":
g.u(typ)
default:
return fmt.Errorf("%s: unsupported type %q", s.Name, typ)
}
return nil
}
// dependencies returns a sequence of all child dependencies of the schema in
// post-order.
//
// The first value is the id/pointer to the dependency, and the second value
// is the schema.
func dependencies(id string, s *jsonschema.Schema) iter.Seq2[string, *jsonschema.Schema] {
return func(yield func(string, *jsonschema.Schema) bool) {
for i, p := range s.Properties {
id := fmt.Sprintf("%s_%d", id, i)
for did, d := range dependencies(id, p) {
if !yield(did, d) {
return
}
}
if !yield(id, p) {
return
}
}
for i, p := range s.PrefixItems {
id := fmt.Sprintf("tuple_%d", i)
for did, d := range dependencies(id, p) {
id := fmt.Sprintf("%s_%s", id, did)
if !yield(id, d) {
return
}
}
if !yield(id, p) {
return
}
}
if s.Items != nil {
id := fmt.Sprintf("%s_tuple_%d", id, len(s.PrefixItems))
for did, d := range dependencies(id, s.Items) {
if !yield(did, d) {
return
}
}
if !yield(id, s.Items) {
return
}
}
}
}
type builder struct {
b bytes.Buffer
pad int
rules int
items int
}
// define terminates the current rule, if any, and then either starts a new
// rule or does nothing else if the name is empty.
func (b *builder) define(name string) {
if b.rules > 0 {
b.b.WriteString(";\n")
}
if name == "" {
return
}
fmt.Fprintf(&b.b, "% -*s", b.pad, name)
b.b.WriteString(" ::=")
b.rules++
b.items = 0
}
// quote appends a terminal to the current rule.
func (b *builder) q(s string) {
if b.items > 0 {
b.b.WriteString(" ")
}
b.b.WriteString(" ")
b.b.WriteString(strconv.Quote(s))
}
// u appends a non-terminal to the current rule.
func (b *builder) u(s string) {
if b.items > 0 {
b.b.WriteString(" ")
}
b.b.WriteString(" ")
b.b.WriteString(s)
}
func buildConstrainedNumber(b *builder, s *jsonschema.Schema) {
if s.Minimum == 0 && s.Maximum == 0 {
b.u("TODO")
} else {
b.u("number")
}
}

View File

@@ -1,75 +0,0 @@
package grammar
import (
"bufio"
"cmp"
"iter"
"strings"
"testing"
_ "embed"
"github.com/ollama/ollama/grammar/internal/diff"
)
func TestFromSchema(t *testing.T) {
for tt := range testCases(t) {
t.Run(tt.name, func(t *testing.T) {
g, err := FromSchema(nil, []byte(tt.schema))
if err != nil {
t.Fatalf("FromSchema: %v", err)
}
got := string(g)
got = strings.TrimPrefix(got, jsonTerms)
if got != tt.want {
t.Logf("schema:\n%s", tt.schema)
t.Fatal(string(diff.Diff("got", []byte(got), "want", []byte(tt.want))))
}
})
}
}
type testCase struct {
name string
schema string
want string
}
//go:embed testdata/schemas.txt
var tests string
func testCases(t testing.TB) iter.Seq[testCase] {
t.Helper()
return func(yield func(testCase) bool) {
t.Helper()
sc := bufio.NewScanner(strings.NewReader(tests))
name := ""
for sc.Scan() {
line := strings.TrimSpace(sc.Text())
if line == "" {
name = ""
continue
}
if line[0] == '#' {
name = cmp.Or(name, strings.TrimSpace(line[1:]))
continue
}
s := sc.Text()
g := ""
for sc.Scan() {
line = strings.TrimSpace(sc.Text())
if line == "" || line[0] == '#' {
break
}
g += sc.Text() + "\n"
}
if !yield(testCase{name, s, g}) {
return
}
name = strings.TrimSpace(strings.TrimPrefix(line, "#"))
}
if err := sc.Err(); err != nil {
t.Fatalf("error reading tests: %v", err)
}
}
}

View File

@@ -1,261 +0,0 @@
// Copyright 2022 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package diff
import (
"bytes"
"fmt"
"sort"
"strings"
)
// A pair is a pair of values tracked for both the x and y side of a diff.
// It is typically a pair of line indexes.
type pair struct{ x, y int }
// Diff returns an anchored diff of the two texts old and new
// in the “unified diff” format. If old and new are identical,
// Diff returns a nil slice (no output).
//
// Unix diff implementations typically look for a diff with
// the smallest number of lines inserted and removed,
// which can in the worst case take time quadratic in the
// number of lines in the texts. As a result, many implementations
// either can be made to run for a long time or cut off the search
// after a predetermined amount of work.
//
// In contrast, this implementation looks for a diff with the
// smallest number of “unique” lines inserted and removed,
// where unique means a line that appears just once in both old and new.
// We call this an “anchored diff” because the unique lines anchor
// the chosen matching regions. An anchored diff is usually clearer
// than a standard diff, because the algorithm does not try to
// reuse unrelated blank lines or closing braces.
// The algorithm also guarantees to run in O(n log n) time
// instead of the standard O(n²) time.
//
// Some systems call this approach a “patience diff,” named for
// the “patience sorting” algorithm, itself named for a solitaire card game.
// We avoid that name for two reasons. First, the name has been used
// for a few different variants of the algorithm, so it is imprecise.
// Second, the name is frequently interpreted as meaning that you have
// to wait longer (to be patient) for the diff, meaning that it is a slower algorithm,
// when in fact the algorithm is faster than the standard one.
func Diff(oldName string, old []byte, newName string, new []byte) []byte {
if bytes.Equal(old, new) {
return nil
}
x := lines(old)
y := lines(new)
// Print diff header.
var out bytes.Buffer
fmt.Fprintf(&out, "diff %s %s\n", oldName, newName)
fmt.Fprintf(&out, "--- %s\n", oldName)
fmt.Fprintf(&out, "+++ %s\n", newName)
// Loop over matches to consider,
// expanding each match to include surrounding lines,
// and then printing diff chunks.
// To avoid setup/teardown cases outside the loop,
// tgs returns a leading {0,0} and trailing {len(x), len(y)} pair
// in the sequence of matches.
var (
done pair // printed up to x[:done.x] and y[:done.y]
chunk pair // start lines of current chunk
count pair // number of lines from each side in current chunk
ctext []string // lines for current chunk
)
for _, m := range tgs(x, y) {
if m.x < done.x {
// Already handled scanning forward from earlier match.
continue
}
// Expand matching lines as far as possible,
// establishing that x[start.x:end.x] == y[start.y:end.y].
// Note that on the first (or last) iteration we may (or definitely do)
// have an empty match: start.x==end.x and start.y==end.y.
start := m
for start.x > done.x && start.y > done.y && x[start.x-1] == y[start.y-1] {
start.x--
start.y--
}
end := m
for end.x < len(x) && end.y < len(y) && x[end.x] == y[end.y] {
end.x++
end.y++
}
// Emit the mismatched lines before start into this chunk.
// (No effect on first sentinel iteration, when start = {0,0}.)
for _, s := range x[done.x:start.x] {
ctext = append(ctext, "-"+s)
count.x++
}
for _, s := range y[done.y:start.y] {
ctext = append(ctext, "+"+s)
count.y++
}
// If we're not at EOF and have too few common lines,
// the chunk includes all the common lines and continues.
const C = 3 // number of context lines
if (end.x < len(x) || end.y < len(y)) &&
(end.x-start.x < C || (len(ctext) > 0 && end.x-start.x < 2*C)) {
for _, s := range x[start.x:end.x] {
ctext = append(ctext, " "+s)
count.x++
count.y++
}
done = end
continue
}
// End chunk with common lines for context.
if len(ctext) > 0 {
n := end.x - start.x
if n > C {
n = C
}
for _, s := range x[start.x : start.x+n] {
ctext = append(ctext, " "+s)
count.x++
count.y++
}
done = pair{start.x + n, start.y + n}
// Format and emit chunk.
// Convert line numbers to 1-indexed.
// Special case: empty file shows up as 0,0 not 1,0.
if count.x > 0 {
chunk.x++
}
if count.y > 0 {
chunk.y++
}
fmt.Fprintf(&out, "@@ -%d,%d +%d,%d @@\n", chunk.x, count.x, chunk.y, count.y)
for _, s := range ctext {
out.WriteString(s)
}
count.x = 0
count.y = 0
ctext = ctext[:0]
}
// If we reached EOF, we're done.
if end.x >= len(x) && end.y >= len(y) {
break
}
// Otherwise start a new chunk.
chunk = pair{end.x - C, end.y - C}
for _, s := range x[chunk.x:end.x] {
ctext = append(ctext, " "+s)
count.x++
count.y++
}
done = end
}
return out.Bytes()
}
// lines returns the lines in the file x, including newlines.
// If the file does not end in a newline, one is supplied
// along with a warning about the missing newline.
func lines(x []byte) []string {
l := strings.SplitAfter(string(x), "\n")
if l[len(l)-1] == "" {
l = l[:len(l)-1]
} else {
// Treat last line as having a message about the missing newline attached,
// using the same text as BSD/GNU diff (including the leading backslash).
l[len(l)-1] += "\n\\ No newline at end of file\n"
}
return l
}
// tgs returns the pairs of indexes of the longest common subsequence
// of unique lines in x and y, where a unique line is one that appears
// once in x and once in y.
//
// The longest common subsequence algorithm is as described in
// Thomas G. Szymanski, “A Special Case of the Maximal Common
// Subsequence Problem,” Princeton TR #170 (January 1975),
// available at https://research.swtch.com/tgs170.pdf.
func tgs(x, y []string) []pair {
// Count the number of times each string appears in a and b.
// We only care about 0, 1, many, counted as 0, -1, -2
// for the x side and 0, -4, -8 for the y side.
// Using negative numbers now lets us distinguish positive line numbers later.
m := make(map[string]int)
for _, s := range x {
if c := m[s]; c > -2 {
m[s] = c - 1
}
}
for _, s := range y {
if c := m[s]; c > -8 {
m[s] = c - 4
}
}
// Now unique strings can be identified by m[s] = -1+-4.
//
// Gather the indexes of those strings in x and y, building:
// xi[i] = increasing indexes of unique strings in x.
// yi[i] = increasing indexes of unique strings in y.
// inv[i] = index j such that x[xi[i]] = y[yi[j]].
var xi, yi, inv []int
for i, s := range y {
if m[s] == -1+-4 {
m[s] = len(yi)
yi = append(yi, i)
}
}
for i, s := range x {
if j, ok := m[s]; ok && j >= 0 {
xi = append(xi, i)
inv = append(inv, j)
}
}
// Apply Algorithm A from Szymanski's paper.
// In those terms, A = J = inv and B = [0, n).
// We add sentinel pairs {0,0}, and {len(x),len(y)}
// to the returned sequence, to help the processing loop.
J := inv
n := len(xi)
T := make([]int, n)
L := make([]int, n)
for i := range T {
T[i] = n + 1
}
for i := range n {
k := sort.Search(n, func(k int) bool {
return T[k] >= J[i]
})
T[k] = J[i]
L[i] = k + 1
}
k := 0
for _, v := range L {
if k < v {
k = v
}
}
seq := make([]pair, 2+k)
seq[1+k] = pair{len(x), len(y)} // sentinel at end
lastj := n
for i := n - 1; i >= 0; i-- {
if L[i] == k && J[i] < lastj {
seq[k] = pair{xi[i], yi[J[i]]}
k--
}
}
seq[0] = pair{0, 0} // sentinel at start
return seq
}

View File

@@ -1,44 +0,0 @@
// Copyright 2022 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package diff
import (
"bytes"
"path/filepath"
"testing"
"golang.org/x/tools/txtar"
)
func clean(text []byte) []byte {
text = bytes.ReplaceAll(text, []byte("$\n"), []byte("\n"))
text = bytes.TrimSuffix(text, []byte("^D\n"))
return text
}
func Test(t *testing.T) {
files, _ := filepath.Glob("testdata/*.txt")
if len(files) == 0 {
t.Fatalf("no testdata")
}
for _, file := range files {
t.Run(filepath.Base(file), func(t *testing.T) {
a, err := txtar.ParseFile(file)
if err != nil {
t.Fatal(err)
}
if len(a.Files) != 3 || a.Files[2].Name != "diff" {
t.Fatalf("%s: want three files, third named \"diff\"", file)
}
diffs := Diff(a.Files[0].Name, clean(a.Files[0].Data), a.Files[1].Name, clean(a.Files[1].Data))
want := clean(a.Files[2].Data)
if !bytes.Equal(diffs, want) {
t.Fatalf("%s: have:\n%s\nwant:\n%s\n%s", file,
diffs, want, Diff("have", diffs, "want", want))
}
})
}
}

View File

@@ -1,13 +0,0 @@
-- old --
-- new --
a
b
c
-- diff --
diff old new
--- old
+++ new
@@ -0,0 +1,3 @@
+a
+b
+c

View File

@@ -1,13 +0,0 @@
-- old --
a
b
c
-- new --
-- diff --
diff old new
--- old
+++ new
@@ -1,3 +0,0 @@
-a
-b
-c

View File

@@ -1,35 +0,0 @@
Example from Hunt and McIlroy, “An Algorithm for Differential File Comparison.”
https://www.cs.dartmouth.edu/~doug/diff.pdf
-- old --
a
b
c
d
e
f
g
-- new --
w
a
b
x
y
z
e
-- diff --
diff old new
--- old
+++ new
@@ -1,7 +1,7 @@
+w
a
b
-c
-d
+x
+y
+z
e
-f
-g

View File

@@ -1,40 +0,0 @@
-- old --
a
b
c
d
e
f
-- new --
a
B
C
d
e
f
-- diff --
diff old new
--- old
+++ new
@@ -1,8 +1,8 @@
a
$
-b
-
-c
+B
+
+C
$
d
$

View File

@@ -1,38 +0,0 @@
-- old --
1
2
3
4
5
6
7
eight
nine
ten
eleven
-- new --
1
2
3
4
5
6
7
8
9
10
-- diff --
diff old new
--- old
+++ new
@@ -5,7 +5,6 @@
5
6
7
-eight
-nine
-ten
-eleven
+8
+9
+10

View File

@@ -1,9 +0,0 @@
-- old --
a
b
c^D
-- new --
a
b
c^D
-- diff --

View File

@@ -1,18 +0,0 @@
-- old --
a
b
c
-- new --
a
b
c^D
-- diff --
diff old new
--- old
+++ new
@@ -1,3 +1,3 @@
a
b
-c
+c
\ No newline at end of file

View File

@@ -1,18 +0,0 @@
-- old --
a
b
c^D
-- new --
a
b
c
-- diff --
diff old new
--- old
+++ new
@@ -1,3 +1,3 @@
a
b
-c
\ No newline at end of file
+c

View File

@@ -1,62 +0,0 @@
-- old --
1
2
3
4
5
6
7
8
9
10
11
12
13
14
14½
15
16
17
18
19
20
-- new --
1
2
3
4
5
6
8
9
10
11
12
13
14
17
18
19
20
-- diff --
diff old new
--- old
+++ new
@@ -4,7 +4,6 @@
4
5
6
-7
8
9
10
@@ -12,9 +11,6 @@
12
13
14
-14½
-15
-16
17
18
19

View File

@@ -1,5 +0,0 @@
-- old --
hello world
-- new --
hello world
-- diff --

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@@ -1,34 +0,0 @@
-- old --
e
pi
4
5
6
7
8
9
10
-- new --
1
2
3
4
5
6
7
8
9
10
-- diff --
diff old new
--- old
+++ new
@@ -1,5 +1,6 @@
-e
-pi
+1
+2
+3
4
5
6

View File

@@ -1,40 +0,0 @@
Another example from Hunt and McIlroy,
“An Algorithm for Differential File Comparison.”
https://www.cs.dartmouth.edu/~doug/diff.pdf
Anchored diff gives up on finding anything,
since there are no unique lines.
-- old --
a
b
c
a
b
b
a
-- new --
c
a
b
a
b
c
-- diff --
diff old new
--- old
+++ new
@@ -1,7 +1,6 @@
-a
-b
-c
-a
-b
-b
-a
+c
+a
+b
+a
+b
+c

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@@ -1,171 +0,0 @@
package jsonschema
import (
"bytes"
"encoding/json"
"errors"
)
// Schema holds a JSON schema.
type Schema struct {
// Name is the name of the property. For the parent/root property, this
// is "root". For child properties, this is the name of the property.
Name string `json:"-"`
// Type is the type of the property.
//
// TODO: Union types (e.g. make this a []string).
Type string
// PrefixItems is a list of schemas for each item in a tuple. By
// default, the tuple is "closed." unless Items is set to true or a
// valid Schema.
PrefixItems []*Schema
// Items is the schema for each item in a list.
//
// If it is missing, or its JSON value is "null" or "false", it is nil.
// If the JSON value is "true", it is set to the empty Schema. If the
// JSON value is an object, it will be decoded as a Schema.
Items *Schema
// MinItems specifies the minimum number of items allowed in a list.
MinItems int
// MaxItems specifies the maximum number of items allowed in a list.
MaxItems int
// Properties is the schema for each property of an object.
Properties []*Schema
// Format is the format of the property. This is used to validate the
// property against a specific format.
//
// It is the callers responsibility to validate the property against
// the format.
Format string
// Minimum specifies the minimum value for numeric properties.
Minimum float64
// Maximum specifies the maximum value for numeric properties.
Maximum float64
// Enum is a list of valid values for the property.
Enum []json.RawMessage
}
func (s *Schema) UnmarshalJSON(data []byte) error {
type S Schema
w := struct {
Properties props
Items items
*S
}{
S: (*S)(s),
}
if err := json.Unmarshal(data, &w); err != nil {
return err
}
if w.Items.set {
s.Items = &w.Items.Schema
}
s.Properties = w.Properties
return nil
}
type items struct {
Schema
set bool
}
func (s *items) UnmarshalJSON(data []byte) error {
switch b := data[0]; b {
case 't':
*s = items{set: true}
case '{':
type I items
if err := json.Unmarshal(data, (*I)(s)); err != nil {
return err
}
s.set = true
case 'n', 'f':
default:
return errors.New("invalid Items")
}
return nil
}
// EffectiveType returns the effective type of the schema. If the Type field is
// not empty, it is returned; otherwise:
//
// - If the schema has both Properties and Items, it returns an empty string.
// - If the schema has Properties, it returns "object".
// - If the schema has Items, it returns "array".
// - If the schema has neither Properties nor Items, it returns "value".
//
// The returned string is never empty.
func (d *Schema) EffectiveType() string {
if d.Type == "" {
if len(d.Properties) > 0 {
return "object"
}
if len(d.PrefixItems) > 0 || d.Items != nil {
return "array"
}
return "value"
}
return d.Type
}
// props is an ordered list of properties. The order of the properties
// is the order in which they were defined in the schema.
type props []*Schema
var _ json.Unmarshaler = (*props)(nil)
func (v *props) UnmarshalJSON(data []byte) error {
if len(data) == 0 {
return nil
}
if data[0] != '{' {
return errors.New("expected object")
}
d := json.NewDecoder(bytes.NewReader(data))
// TODO(bmizerany): Consider DisallowUnknownFields. Currently, we, like
// llama.cpp, ignore unknown fields, which could be lead to unexpected
// behavior for clients of this package, since they may not be aware
// that "additionalFields", "itemsPrefix", etc, are being ignored.
//
// For now, just do what llama.cpp does.
t, err := d.Token()
if err != nil {
return err
}
if t != json.Delim('{') {
return errors.New("expected object")
}
for d.More() {
// Use the first token (map key) as the property name, then
// decode the rest of the object fields into a Schema and
// append.
t, err := d.Token()
if err != nil {
return err
}
if t == json.Delim('}') {
return nil
}
s := &Schema{
Name: t.(string),
}
if err := d.Decode(s); err != nil {
return err
}
*v = append(*v, s)
}
return nil
}

View File

@@ -1,104 +0,0 @@
package jsonschema
import (
"encoding/json"
"reflect"
"strings"
"testing"
"github.com/google/go-cmp/cmp"
)
const testSchemaBasic = `
{
"properties": {
"tupleClosedEmpty": { "prefixItems": [] },
"tupleClosedMissing": { "prefixItems": [{}] },
"tupleClosedNull": { "prefixItems": [{}], "items": null },
"tupleClosedFalse": { "prefixItems": [{}], "items": false },
"tupleOpenTrue": { "prefixItems": [{}], "items": true },
"tupleOpenEmpty": { "prefixItems": [{}], "items": {} },
"tupleOpenTyped": { "prefixItems": [{}], "items": {"type": "boolean"} },
"tupleOpenMax": { "prefixItems": [{}], "items": true, "maxItems": 3},
"array": { "items": {"type": "number"} },
"null": { "type": "null" },
"string": { "type": "string" },
"boolean": { "type": "boolean" }
}
}
`
func TestSchemaUnmarshal(t *testing.T) {
var got *Schema
if err := json.Unmarshal([]byte(testSchemaBasic), &got); err != nil {
t.Fatalf("Unmarshal: %v", err)
}
want := &Schema{
Properties: []*Schema{
{Name: "tupleClosedEmpty", PrefixItems: []*Schema{}, Items: nil},
{Name: "tupleClosedMissing", PrefixItems: []*Schema{{}}, Items: nil},
{Name: "tupleClosedNull", PrefixItems: []*Schema{{}}, Items: nil},
{Name: "tupleClosedFalse", PrefixItems: []*Schema{{}}, Items: nil},
{Name: "tupleOpenTrue", PrefixItems: []*Schema{{}}, Items: &Schema{}},
{Name: "tupleOpenEmpty", PrefixItems: []*Schema{{}}, Items: &Schema{}},
{Name: "tupleOpenTyped", PrefixItems: []*Schema{{}}, Items: &Schema{Type: "boolean"}},
{Name: "tupleOpenMax", PrefixItems: []*Schema{{}}, Items: &Schema{}, MaxItems: 3},
{Name: "array", Items: &Schema{Type: "number"}},
{Name: "null", Type: "null"},
{Name: "string", Type: "string"},
{Name: "boolean", Type: "boolean"},
},
}
if diff := cmp.Diff(want, got); diff != "" {
t.Errorf("(-want, +got)\n%s", diff)
}
}
func TestEffectiveType(t *testing.T) {
const schema = `
{"properties": {
"o": {"type": "object"},
"a": {"type": "array"},
"n": {"type": "number"},
"s": {"type": "string"},
"z": {"type": "null"},
"b": {"type": "boolean"},
"t0": {"prefixItems": [{}], "items": {"type": "number"}},
"t1": {"items": {"type": "number"}, "maxItems": 3},
"v": {"maxItems": 3}
}}
`
var s *Schema
if err := json.Unmarshal([]byte(schema), &s); err != nil {
t.Fatalf("json.Unmarshal: %v", err)
}
var got []string
for _, p := range s.Properties {
got = append(got, p.EffectiveType())
}
want := strings.Fields(`
object
array
number
string
null
boolean
array
array
value
`)
if !reflect.DeepEqual(want, got) {
t.Errorf("\ngot:\n\t%v\nwant:\n\t%v", got, want)
}
}

View File

@@ -1,76 +0,0 @@
# This file holds tests for JSON schema to EBNF grammar conversions.
#
# The format is a JSON schema, followed by the expected EBNF grammar. Each test
# MAY be preceded by a comment that describes the test (e.g. the test name), followed by
# the JSON schema and the expected EBNF grammar. If no comment is present, the test
# name the tests number in the file (e.g. "#0", "#1", etc.)
#
# Blank lines signify the end or start of a new test. Comments can be added
# anywhere in the file, but they must be preceded by a '#' character and start at
# the beginning of the line.
# default
{}
root ::= value;
{"properties": {}}
root ::= value;
# array
{"properties": {"a": {"type": "array", "items": {"type": "string"}}}}
root_0_tuple_0 ::= string;
root_0 ::= "[" ( root_0_tuple_0 )* "]";
root ::= "{" "a" ":" root_0 "}";
# array with nested array
{"type": "array", "items": {"type": "array", "items": {"type": "string"}}}
root_tuple_0_tuple_0 ::= string;
root_tuple_0 ::= "[" ( root_tuple_0_tuple_0 )* "]";
root ::= "[" ( root_tuple_0 )* "]";
# object
{"properties": {"e": {}}}
root_0 ::= value;
root ::= "{" "e" ":" root_0 "}";
# object with nested object
{"properties": {"o": {"type": "object", "properties": {"e": {}}}}}
root_0_0 ::= value;
root_0 ::= "{" "e" ":" root_0_0 "}";
root ::= "{" "o" ":" root_0 "}";
# boolean
{"type": "boolean"}
root ::= boolean;
# number
{"properties": {"n": {"type": "number", "minimum": 123, "maximum": 4567}}}
root_0 ::= number;
root ::= "{" "n" ":" root_0 "}";
# string
{"type": "string"}
root ::= string;
# string with enum
{"type": "string", "enum": ["a", "b", "c"]}
root ::= ( "\"a\"" "|" "\"b\"" "|" "\"c\"" );
# spaces in key
{"properties": {"a b": {}}}
root_0 ::= value;
root ::= "{" "a b" ":" root_0 "}";
# issue7978
{ "type": "object", "properties": { "steps": { "type": "array", "items": { "type": "object", "properties": { "explanation": { "type": "string" }, "output": { "type": "string" } }, "required": [ "explanation", "output" ], "additionalProperties": false } }, "final_answer": { "type": "string" } }, "required": [ "steps", "final_answer" ], "additionalProperties": false }
root_0_tuple_0_0 ::= string;
root_0_tuple_0_1 ::= string;
root_0_tuple_0 ::= "{" "explanation" ":" root_0_tuple_0_0 "," "output" ":" root_0_tuple_0_1 "}";
root_0 ::= "[" ( root_0_tuple_0 )* "]";
root_1 ::= string;
root ::= "{" "steps" ":" root_0 "," "final_answer" ":" root_1 "}";
# !! # special characters in key
# !! {"properties": {"a!b": {}}}
# !! !invalid character '!' in key
# !!

View File

@@ -37,7 +37,8 @@ go build -tags avx .
```shell
# go doesn't recognize `-mfma` as a valid compiler flag
# see https://github.com/golang/go/issues/17895
go env -w "CGO_CPPFLAGS_ALLOW=-mfma|-mf16c"
go env -w "CGO_CFLAGS_ALLOW=-mfma|-mf16c"
go env -w "CGO_CXXFLAGS_ALLOW=-mfma|-mf16c"
go build -tags=avx,avx2 .
```

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "amx.h"
#include "common.h"
#include "mmq.h"

34
llama/amx.h vendored Normal file
View File

@@ -0,0 +1,34 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "ggml-backend.h"
#include "ggml-cpu-impl.h"
// GGML internal header
#if defined(__AMX_INT8__) && defined(__AVX512VNNI__)
ggml_backend_buffer_type_t ggml_backend_amx_buffer_type(void);
#endif

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
// NOTE: This is modified from clip.cpp only for LLaVA,
// so there might be still unnecessary artifacts hanging around
// I'll gradually clean and extend it

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef CLIP_H
#define CLIP_H

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#if defined(_MSC_VER)
#define _SILENCE_CXX17_CODECVT_HEADER_DEPRECATION_WARNING
#endif

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
// Various helper functions and utilities
#pragma once

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "ggml-alloc.h"
#include "ggml-backend-impl.h"
#include "ggml.h"

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#include "ggml.h"

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
// ggml-backend internal header

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "ggml-backend-impl.h"
#include "ggml-backend.h"
#include "ggml-impl.h"
@@ -150,7 +176,7 @@ struct ggml_backend_reg_entry {
struct ggml_backend_registry {
std::vector<ggml_backend_reg_entry> backends;
std::vector<std::pair<ggml_backend_dev_t, int>> devices;
std::vector<ggml_backend_dev_t> devices;
ggml_backend_registry() {
#ifdef GGML_USE_CUDA
@@ -195,7 +221,7 @@ struct ggml_backend_registry {
}
}
void register_backend(ggml_backend_reg_t reg, int score = -1, dl_handle_ptr handle = nullptr) {
void register_backend(ggml_backend_reg_t reg, dl_handle_ptr handle = nullptr) {
if (!reg) {
return;
}
@@ -206,15 +232,15 @@ struct ggml_backend_registry {
#endif
backends.push_back({ reg, std::move(handle) });
for (size_t i = 0; i < ggml_backend_reg_dev_count(reg); i++) {
register_device(ggml_backend_reg_dev_get(reg, i), score);
register_device(ggml_backend_reg_dev_get(reg, i));
}
}
void register_device(ggml_backend_dev_t device, int score = -1) {
void register_device(ggml_backend_dev_t device) {
#ifndef NDEBUG
GGML_LOG_DEBUG("%s: registered device %s (%s)\n", __func__, ggml_backend_dev_name(device), ggml_backend_dev_description(device));
#endif
devices.push_back({device, score});
devices.push_back(device);
}
ggml_backend_reg_t load_backend(const std::wstring & path, bool silent) {
@@ -257,7 +283,7 @@ struct ggml_backend_registry {
GGML_LOG_INFO("%s: loaded %s backend from %s\n", __func__, ggml_backend_reg_name(reg), utf16_to_utf8(path).c_str());
register_backend(reg, score_fn ? score_fn() : -1, std::move(handle));
register_backend(reg, std::move(handle));
return reg;
}
@@ -280,7 +306,7 @@ struct ggml_backend_registry {
// remove devices
devices.erase(
std::remove_if(devices.begin(), devices.end(),
[reg](std::pair<ggml_backend_dev_t, int> dev) { return ggml_backend_dev_backend_reg(dev.first) == reg; }),
[reg](ggml_backend_dev_t dev) { return ggml_backend_dev_backend_reg(dev) == reg; }),
devices.end());
// remove backend
@@ -338,12 +364,7 @@ size_t ggml_backend_dev_count() {
ggml_backend_dev_t ggml_backend_dev_get(size_t index) {
GGML_ASSERT(index < ggml_backend_dev_count());
auto devices = get_reg().devices;
if (!std::is_heap(devices.begin(), devices.end())) {
std::make_heap(devices.begin(), devices.end(), [](const auto & a, const auto & b) { return a.second < b.second; });
}
return devices[index].first;
return get_reg().devices[index];
}
ggml_backend_dev_t ggml_backend_dev_by_name(const char * name) {

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
// Note: porting this file to C++ is a work in progress
#ifdef _WIN32
@@ -106,6 +132,12 @@ void ggml_backend_buffer_free(ggml_backend_buffer_t buffer) {
if (buffer->iface.free_buffer != NULL) {
buffer->iface.free_buffer(buffer);
}
// TODO: this needs to be freed in cuda and hip backends because
// the cuda backend implementation compiled with msvc
#if !defined(GGML_USE_CUDA) && !defined(GGML_USE_HIP)
delete buffer;
#endif
}
size_t ggml_backend_buffer_get_size(ggml_backend_buffer_t buffer) {

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#include "ggml.h"

View File

@@ -1,3 +1,31 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifdef GGML_USE_BLAS
#include "ggml-impl.h"
#include "ggml-blas.h"
#include "ggml-backend-impl.h"
@@ -515,3 +543,5 @@ ggml_backend_reg_t ggml_backend_blas_reg(void) {
}
GGML_BACKEND_DL_IMPL(ggml_backend_blas_reg)
#endif // GGML_USE_BLAS

51
llama/ggml-blas.h vendored Normal file
View File

@@ -0,0 +1,51 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#include "ggml.h"
#include "ggml-backend.h"
#ifdef __cplusplus
extern "C" {
#endif
// backend API
GGML_BACKEND_API ggml_backend_t ggml_backend_blas_init(void);
GGML_BACKEND_API bool ggml_backend_is_blas(ggml_backend_t backend);
// number of threads used for conversion to float
// for openblas and blis, this will also set the number of threads used for blas operations
GGML_BACKEND_API void ggml_backend_blas_set_n_threads(ggml_backend_t backend_blas, int n_threads);
GGML_BACKEND_API ggml_backend_reg_t ggml_backend_blas_reg(void);
#ifdef __cplusplus
}
#endif

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef GGML_COMMON_DECL
#if defined(GGML_COMMON_DECL_C)

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#ifndef __cplusplus

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#define GGML_COMMON_IMPL_CPP
#define GGML_COMMON_DECL_CPP
#include "ggml-common.h"

34
llama/ggml-cpu-aarch64.h vendored Normal file
View File

@@ -0,0 +1,34 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#include "ggml-cpu-traits.h"
#include "ggml.h"
// GGML internal header
ggml_backend_buffer_type_t ggml_backend_cpu_aarch64_buffer_type(void);

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
// GGML CPU internal header

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#define GGML_COMMON_IMPL_C
#include "ggml-common.h"

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#define GGML_COMMON_DECL_C

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "ggml-cpu-traits.h"
#include "ggml-backend-impl.h"

64
llama/ggml-cpu-traits.h vendored Normal file
View File

@@ -0,0 +1,64 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#include "ggml-backend-impl.h"
#include "ggml-cpu-impl.h"
#include "ggml.h"
#ifdef __cplusplus
# include <vector>
extern "C" {
#endif
// return true if op part of extra "accelerator"
bool ggml_cpu_extra_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * op);
bool ggml_cpu_extra_work_size(int n_threads, const struct ggml_tensor * op, size_t * size);
#ifdef __cplusplus
}
namespace ggml::cpu {
// register in tensor->extra
class tensor_traits {
public:
virtual ~tensor_traits();
virtual bool work_size(int n_threads, const struct ggml_tensor * op, size_t & size) = 0;
virtual bool compute_forward(struct ggml_compute_params * params, struct ggml_tensor * op) = 0;
};
class extra_buffer_type {
public:
virtual ~extra_buffer_type();
virtual bool supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) = 0;
virtual tensor_traits * get_tensor_traits(const struct ggml_tensor * op) = 0;
};
} // namespace ggml::cpu
// implemented in ggml-cpu.cpp.
std::vector<ggml_backend_buffer_type_t> & ggml_backend_cpu_get_extra_buffers_type();
#endif

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#define _CRT_SECURE_NO_DEPRECATE // Disables "unsafe" warnings on Windows
#define _USE_MATH_DEFINES // For M_PI on MSVC
@@ -10,7 +36,7 @@
#include "ggml-quants.h"
#include "ggml-cpu-quants.h"
#include "ggml-threading.h"
#include "amx/amx.h"
#include "amx.h"
#include "ggml.h"
#if defined(_MSC_VER) || defined(__MINGW32__)

View File

@@ -1,11 +1,36 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "ggml-backend.h"
#include "ggml-backend-impl.h"
#include "ggml-cpu.h"
#include "ggml-cpu-aarch64.h"
#include "ggml-cpu-traits.h"
#include "ggml-impl.h"
#include "amx/amx.h"
#include "amx.h"
#include <cctype>
#include <string>
#include <vector>

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#include "ggml.h"

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#include "ggml.h"

View File

@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "acc.cuh"
static __global__ void acc_f32(const float * x, const float * y, float * dst, const int ne,

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
#define CUDA_ACC_BLOCK_SIZE 256
void ggml_cuda_op_acc(ggml_backend_cuda_context & ctx, ggml_tensor * dst);

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arange.cuh"
static __global__ void arange_f32(float * dst, const int ne0, const float start, const float step) {
// blockIDx.x: idx of ne0 / BLOCK_SIZE
int nidx = threadIdx.x + blockIdx.x * blockDim.x;
if (nidx >= ne0) {
return;
}
dst[nidx] = start + step * nidx;
}
static void arange_f32_cuda(float * dst, const int ne0, const float start, const float step, cudaStream_t stream) {
int num_blocks = (ne0 + CUDA_ARANGE_BLOCK_SIZE - 1) / CUDA_ARANGE_BLOCK_SIZE;
arange_f32<<<num_blocks, CUDA_ARANGE_BLOCK_SIZE, 0, stream>>>(dst, ne0, start, step);
}
void ggml_cuda_op_arange(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
float * dst_d = (float *)dst->data;
cudaStream_t stream = ctx.stream();
GGML_ASSERT(dst->type == GGML_TYPE_F32);
float start;
float stop;
float step;
memcpy(&start, (float *)dst->op_params + 0, sizeof(float));
memcpy(&stop, (float *)dst->op_params + 1, sizeof(float));
memcpy(&step, (float *)dst->op_params + 2, sizeof(float));
int64_t steps = (int64_t)ceil((stop - start) / step);
GGML_ASSERT(ggml_nelements(dst) == steps);
arange_f32_cuda(dst_d, dst->ne[0], start, step, stream);
}

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
#define CUDA_ARANGE_BLOCK_SIZE 256
void ggml_cuda_op_arange(ggml_backend_cuda_context & ctx, ggml_tensor * dst);

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@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include <algorithm>
#include <cstdint>

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
void ggml_cuda_argmax(ggml_backend_cuda_context & ctx, ggml_tensor * dst);

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@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "argsort.cuh"
template<typename T>

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
void ggml_cuda_op_argsort(ggml_backend_cuda_context & ctx, ggml_tensor * dst);

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "binbcast.cuh"
#include <cstdint>

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
void ggml_cuda_op_repeat(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_add(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_sub(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_mul(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_div(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_repeat_back(ggml_backend_cuda_context & ctx, ggml_tensor * dst);

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "clamp.cuh"
static __global__ void clamp_f32(const float * x, float * dst, const float min, const float max, const int k) {
const int i = blockDim.x*blockIdx.x + threadIdx.x;
if (i >= k) {
return;
}
dst[i] = x[i] < min ? min : (x[i] > max ? max : x[i]);
}
static void clamp_f32_cuda(const float * x, float * dst, const float min, const float max, const int k, cudaStream_t stream) {
const int num_blocks = (k + CUDA_CLAMP_BLOCK_SIZE - 1) / CUDA_CLAMP_BLOCK_SIZE;
clamp_f32<<<num_blocks, CUDA_CLAMP_BLOCK_SIZE, 0, stream>>>(x, dst, min, max, k);
}
void ggml_cuda_op_clamp(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
const ggml_tensor * src0 = dst->src[0];
const float * src0_d = (const float *)src0->data;
float * dst_d = (float *)dst->data;
cudaStream_t stream = ctx.stream();
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
float min;
float max;
memcpy(&min, dst->op_params, sizeof(float));
memcpy(&max, (float *) dst->op_params + 1, sizeof(float));
clamp_f32_cuda(src0_d, dst_d, min, max, ggml_nelements(src0), stream);
}

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
#define CUDA_CLAMP_BLOCK_SIZE 256
void ggml_cuda_op_clamp(ggml_backend_cuda_context & ctx, ggml_tensor * dst);

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#include "ggml.h"

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "concat.cuh"
// contiguous kernels

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
#define CUDA_CONCAT_BLOCK_SIZE 256
void ggml_cuda_op_concat(ggml_backend_cuda_context & ctx, ggml_tensor * dst);

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "conv-transpose-1d.cuh"
static __global__ void conv_transpose_1d_kernel(

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
#define CUDA_CONV_TRANPOSE_1D_BLOCK_SIZE 256
void ggml_cuda_op_conv_transpose_1d(ggml_backend_cuda_context & ctx, ggml_tensor * dst);

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "convert.cuh"
#include "dequantize.cuh"

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/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
#define CUDA_DEQUANTIZE_BLOCK_SIZE 256
template<typename T>
using to_t_cuda_t = void (*)(const void * __restrict__ x, T * __restrict__ y, int64_t k, cudaStream_t stream);
typedef to_t_cuda_t<float> to_fp32_cuda_t;
typedef to_t_cuda_t<half> to_fp16_cuda_t;
to_fp16_cuda_t ggml_get_to_fp16_cuda(ggml_type type);
to_fp32_cuda_t ggml_get_to_fp32_cuda(ggml_type type);

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@@ -1,3 +1,29 @@
/**
* llama.cpp - commit 46e3556e01b824e52395fb050b29804b6cff2a7c - do not edit this file
*
* MIT License
*
* Copyright (c) 2023-2024 The ggml authors
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "common.cuh"
#include "count-equal.cuh"

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