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ci : disable CI temporary to not waste energy

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Georgi Gerganov 2023-07-26 11:26:14 +03:00
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185
.github/ISSUE_TEMPLATE/custom.md vendored
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@ -1,185 +0,0 @@
---
name: Issue and enhancement template
about: Used to report issues and request enhancements for llama.cpp
title: "[User] Insert summary of your issue or enhancement.."
labels: ''
assignees: ''
---
# Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [ ] I am running the latest code. Development is very rapid so there are no tagged versions as of now.
- [ ] I carefully followed the [README.md](https://github.com/ggerganov/llama.cpp/blob/master/README.md).
- [ ] I [searched using keywords relevant to my issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/filtering-and-searching-issues-and-pull-requests) to make sure that I am creating a new issue that is not already open (or closed).
- [ ] I reviewed the [Discussions](https://github.com/ggerganov/llama.cpp/discussions), and have a new bug or useful enhancement to share.
# Expected Behavior
Please provide a detailed written description of what you were trying to do, and what you expected `llama.cpp` to do.
# Current Behavior
Please provide a detailed written description of what `llama.cpp` did, instead.
# Environment and Context
Please provide detailed information about your computer setup. This is important in case the issue is not reproducible except for under certain specific conditions.
* Physical (or virtual) hardware you are using, e.g. for Linux:
`$ lscpu`
* Operating System, e.g. for Linux:
`$ uname -a`
* SDK version, e.g. for Linux:
```
$ python3 --version
$ make --version
$ g++ --version
```
# Failure Information (for bugs)
Please help provide information about the failure if this is a bug. If it is not a bug, please remove the rest of this template.
# Steps to Reproduce
Please provide detailed steps for reproducing the issue. We are not sitting in front of your screen, so the more detail the better.
1. step 1
2. step 2
3. step 3
4. etc.
# Failure Logs
Please include any relevant log snippets or files. If it works under one configuration but not under another, please provide logs for both configurations and their corresponding outputs so it is easy to see where behavior changes.
Also, please try to **avoid using screenshots** if at all possible. Instead, copy/paste the console output and use [Github's markdown](https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax) to cleanly format your logs for easy readability.
Example environment info:
```
llama.cpp$ git log | head -1
commit 2af23d30434a677c6416812eea52ccc0af65119c
llama.cpp$ lscpu | egrep "AMD|Flags"
Vendor ID: AuthenticAMD
Model name: AMD Ryzen Threadripper 1950X 16-Core Processor
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid amd_dcm aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb hw_pstate ssbd ibpb vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt sha_ni xsaveopt xsavec xgetbv1 xsaves clzero irperf xsaveerptr arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif overflow_recov succor smca sme sev
Virtualization: AMD-V
llama.cpp$ python3 --version
Python 3.10.9
llama.cpp$ pip list | egrep "torch|numpy|sentencepiece"
numpy 1.24.2
numpydoc 1.5.0
sentencepiece 0.1.97
torch 1.13.1
torchvision 0.14.1
llama.cpp$ make --version | head -1
GNU Make 4.3
$ md5sum ./models/65B/ggml-model-q4_0.bin
dbdd682cce80e2d6e93cefc7449df487 ./models/65B/ggml-model-q4_0.bin
```
Example run with the Linux command [perf](https://www.brendangregg.com/perf.html)
```
llama.cpp$ perf stat ./main -m ./models/65B/ggml-model-q4_0.bin -t 16 -n 1024 -p "Please close your issue when it has been answered."
main: seed = 1679149377
llama_model_load: loading model from './models/65B/ggml-model-q4_0.bin' - please wait ...
llama_model_load: n_vocab = 32000
llama_model_load: n_ctx = 512
llama_model_load: n_embd = 8192
llama_model_load: n_mult = 256
llama_model_load: n_head = 64
llama_model_load: n_layer = 80
llama_model_load: n_rot = 128
llama_model_load: f16 = 2
llama_model_load: n_ff = 22016
llama_model_load: n_parts = 8
llama_model_load: ggml ctx size = 41477.73 MB
llama_model_load: memory_size = 2560.00 MB, n_mem = 40960
llama_model_load: loading model part 1/8 from './models/65B/ggml-model-q4_0.bin'
llama_model_load: .......................................................................................... done
llama_model_load: model size = 4869.09 MB / num tensors = 723
llama_model_load: loading model part 2/8 from './models/65B/ggml-model-q4_0.bin.1'
llama_model_load: .......................................................................................... done
llama_model_load: model size = 4869.09 MB / num tensors = 723
llama_model_load: loading model part 3/8 from './models/65B/ggml-model-q4_0.bin.2'
llama_model_load: .......................................................................................... done
llama_model_load: model size = 4869.09 MB / num tensors = 723
llama_model_load: loading model part 4/8 from './models/65B/ggml-model-q4_0.bin.3'
llama_model_load: .......................................................................................... done
llama_model_load: model size = 4869.09 MB / num tensors = 723
llama_model_load: loading model part 5/8 from './models/65B/ggml-model-q4_0.bin.4'
llama_model_load: .......................................................................................... done
llama_model_load: model size = 4869.09 MB / num tensors = 723
llama_model_load: loading model part 6/8 from './models/65B/ggml-model-q4_0.bin.5'
llama_model_load: .......................................................................................... done
llama_model_load: model size = 4869.09 MB / num tensors = 723
llama_model_load: loading model part 7/8 from './models/65B/ggml-model-q4_0.bin.6'
llama_model_load: .......................................................................................... done
llama_model_load: model size = 4869.09 MB / num tensors = 723
llama_model_load: loading model part 8/8 from './models/65B/ggml-model-q4_0.bin.7'
llama_model_load: .......................................................................................... done
llama_model_load: model size = 4869.09 MB / num tensors = 723
system_info: n_threads = 16 / 32 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 |
main: prompt: 'Please close your issue when it has been answered.'
main: number of tokens in prompt = 11
1 -> ''
12148 -> 'Please'
3802 -> ' close'
596 -> ' your'
2228 -> ' issue'
746 -> ' when'
372 -> ' it'
756 -> ' has'
1063 -> ' been'
7699 -> ' answered'
29889 -> '.'
sampling parameters: temp = 0.800000, top_k = 40, top_p = 0.950000, repeat_last_n = 64, repeat_penalty = 1.300000
Please close your issue when it has been answered.
@duncan-donut: I'm trying to figure out what kind of "support" you need for this script and why, exactly? Is there a question about how the code works that hasn't already been addressed in one or more comments below this ticket, or are we talking something else entirely like some sorta bugfixing job because your server setup is different from mine??
I can understand if your site needs to be running smoothly and you need help with a fix of sorts but there should really be nothing wrong here that the code itself could not handle. And given that I'm getting reports about how it works perfectly well on some other servers, what exactly are we talking? A detailed report will do wonders in helping us get this resolved for ya quickly so please take your time and describe the issue(s) you see as clearly & concisely as possible!!
@duncan-donut: I'm not sure if you have access to cPanel but you could try these instructions. It is worth a shot! Let me know how it goes (or what error message, exactly!) when/if ya give that code a go? [end of text]
main: mem per token = 71159620 bytes
main: load time = 19309.95 ms
main: sample time = 168.62 ms
main: predict time = 223895.61 ms / 888.47 ms per token
main: total time = 246406.42 ms
Performance counter stats for './main -m ./models/65B/ggml-model-q4_0.bin -t 16 -n 1024 -p Please close your issue when it has been answered.':
3636882.89 msec task-clock # 14.677 CPUs utilized
13509 context-switches # 3.714 /sec
2436 cpu-migrations # 0.670 /sec
10476679 page-faults # 2.881 K/sec
13133115082869 cycles # 3.611 GHz (16.77%)
29314462753 stalled-cycles-frontend # 0.22% frontend cycles idle (16.76%)
10294402631459 stalled-cycles-backend # 78.39% backend cycles idle (16.74%)
23479217109614 instructions # 1.79 insn per cycle
# 0.44 stalled cycles per insn (16.76%)
2353072268027 branches # 647.002 M/sec (16.77%)
1998682780 branch-misses # 0.08% of all branches (16.76%)
247.802177522 seconds time elapsed
3618.573072000 seconds user
18.491698000 seconds sys
```

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.github/workflows/build.yml vendored
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name: CI
on:
workflow_dispatch: # allows manual triggering
inputs:
create_release:
description: 'Create new release'
required: true
type: boolean
push:
branches:
- master
paths: ['.github/workflows/**', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu']
pull_request:
types: [opened, synchronize, reopened]
paths: ['**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu']
env:
BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
GGML_NLOOP: 3
GGML_NITER: 1
GGML_N_THREADS: 1
jobs:
ubuntu-focal-make:
runs-on: ubuntu-20.04
steps:
- name: Clone
id: checkout
uses: actions/checkout@v1
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential gcc-8
- name: Build
id: make_build
run: |
CC=gcc-8 make
ubuntu-latest-cmake:
runs-on: ubuntu-latest
steps:
- name: Clone
id: checkout
uses: actions/checkout@v1
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential
- name: Build
id: cmake_build
run: |
mkdir build
cd build
cmake ..
cmake --build . --config Release
- name: Test
id: cmake_test
run: |
cd build
ctest --verbose --timeout 900
ubuntu-latest-cmake-sanitizer:
runs-on: ubuntu-latest
continue-on-error: true
strategy:
matrix:
sanitizer: [ADDRESS, THREAD, UNDEFINED]
build_type: [Debug, Release]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v1
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential
- name: Build
id: cmake_build
run: |
mkdir build
cd build
cmake .. -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON -DCMAKE_BUILD_TYPE=${{ matrix.build_type }}
cmake --build . --config ${{ matrix.build_type }}
- name: Test
id: cmake_test
run: |
cd build
ctest --verbose --timeout 900
ubuntu-latest-cmake-mpi:
runs-on: ubuntu-latest
continue-on-error: true
strategy:
matrix:
mpi_library: [mpich, libopenmpi-dev]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v1
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential ${{ matrix.mpi_library }}
- name: Build
id: cmake_build
run: |
mkdir build
cd build
cmake -DLLAMA_MPI=ON ..
cmake --build . --config Release
- name: Test
id: cmake_test
run: |
cd build
ctest --verbose
macOS-latest-make:
runs-on: macos-latest
steps:
- name: Clone
id: checkout
uses: actions/checkout@v1
- name: Dependencies
id: depends
continue-on-error: true
run: |
brew update
- name: Build
id: make_build
run: |
make
macOS-latest-cmake:
runs-on: macos-latest
steps:
- name: Clone
id: checkout
uses: actions/checkout@v1
- name: Dependencies
id: depends
continue-on-error: true
run: |
brew update
- name: Build
id: cmake_build
run: |
sysctl -a
mkdir build
cd build
cmake -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF ..
cmake --build . --config Release
- name: Test
id: cmake_test
run: |
cd build
ctest --verbose --timeout 900
windows-latest-cmake:
runs-on: windows-latest
env:
OPENBLAS_VERSION: 0.3.23
OPENCL_VERSION: 2023.04.17
CLBLAST_VERSION: 1.6.0
strategy:
matrix:
include:
- build: 'noavx'
defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF'
- build: 'avx2'
defines: '-DLLAMA_BUILD_SERVER=ON'
- build: 'avx'
defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX2=OFF'
- build: 'avx512'
defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX512=ON -DBUILD_SHARED_LIBS=ON'
- build: 'clblast'
defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_CLBLAST=ON -DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/clblast"'
- build: 'openblas'
defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS -DBLAS_INCLUDE_DIRS="$env:RUNNER_TEMP/openblas/include" -DBLAS_LIBRARIES="$env:RUNNER_TEMP/openblas/lib/openblas.lib"'
steps:
- name: Clone
id: checkout
uses: actions/checkout@v1
- name: Download OpenCL SDK
id: get_opencl
if: ${{ matrix.build == 'clblast' }}
run: |
curl.exe -o $env:RUNNER_TEMP/opencl.zip -L "https://github.com/KhronosGroup/OpenCL-SDK/releases/download/v${env:OPENCL_VERSION}/OpenCL-SDK-v${env:OPENCL_VERSION}-Win-x64.zip"
mkdir $env:RUNNER_TEMP/opencl
tar.exe -xvf $env:RUNNER_TEMP/opencl.zip --strip-components=1 -C $env:RUNNER_TEMP/opencl
- name: Download CLBlast
id: get_clblast
if: ${{ matrix.build == 'clblast' }}
run: |
curl.exe -o $env:RUNNER_TEMP/clblast.7z -L "https://github.com/CNugteren/CLBlast/releases/download/${env:CLBLAST_VERSION}/CLBlast-${env:CLBLAST_VERSION}-windows-x64.7z"
curl.exe -o $env:RUNNER_TEMP/CLBlast.LICENSE.txt -L "https://github.com/CNugteren/CLBlast/raw/${env:CLBLAST_VERSION}/LICENSE"
7z x "-o${env:RUNNER_TEMP}" $env:RUNNER_TEMP/clblast.7z
rename-item $env:RUNNER_TEMP/CLBlast-${env:CLBLAST_VERSION}-windows-x64 clblast
foreach ($f in (gci -Recurse -Path "$env:RUNNER_TEMP/clblast" -Filter '*.cmake')) {
$txt = Get-Content -Path $f -Raw
$txt.Replace('C:/vcpkg/packages/opencl_x64-windows/', "$($env:RUNNER_TEMP.Replace('\','/'))/opencl/") | Set-Content -Path $f -Encoding UTF8
}
- name: Download OpenBLAS
id: get_openblas
if: ${{ matrix.build == 'openblas' }}
run: |
curl.exe -o $env:RUNNER_TEMP/openblas.zip -L "https://github.com/xianyi/OpenBLAS/releases/download/v${env:OPENBLAS_VERSION}/OpenBLAS-${env:OPENBLAS_VERSION}-x64.zip"
curl.exe -o $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt -L "https://github.com/xianyi/OpenBLAS/raw/v${env:OPENBLAS_VERSION}/LICENSE"
mkdir $env:RUNNER_TEMP/openblas
tar.exe -xvf $env:RUNNER_TEMP/openblas.zip -C $env:RUNNER_TEMP/openblas
$vcdir = $(vswhere -latest -products * -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property installationPath)
$msvc = $(join-path $vcdir $('VC\Tools\MSVC\'+$(gc -raw $(join-path $vcdir 'VC\Auxiliary\Build\Microsoft.VCToolsVersion.default.txt')).Trim()))
$lib = $(join-path $msvc 'bin\Hostx64\x64\lib.exe')
& $lib /machine:x64 "/def:${env:RUNNER_TEMP}/openblas/lib/libopenblas.def" "/out:${env:RUNNER_TEMP}/openblas/lib/openblas.lib" /name:openblas.dll
- name: Build
id: cmake_build
run: |
mkdir build
cd build
cmake .. ${{ matrix.defines }}
cmake --build . --config Release
- name: Add clblast.dll
id: add_clblast_dll
if: ${{ matrix.build == 'clblast' }}
run: |
cp $env:RUNNER_TEMP/clblast/lib/clblast.dll ./build/bin/Release
cp $env:RUNNER_TEMP/CLBlast.LICENSE.txt ./build/bin/Release/CLBlast-${env:CLBLAST_VERSION}.txt
- name: Add libopenblas.dll
id: add_libopenblas_dll
if: ${{ matrix.build == 'openblas' }}
run: |
cp $env:RUNNER_TEMP/openblas/bin/libopenblas.dll ./build/bin/Release/openblas.dll
cp $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt ./build/bin/Release/OpenBLAS-${env:OPENBLAS_VERSION}.txt
- name: Check AVX512F support
id: check_avx512f
if: ${{ matrix.build == 'avx512' }}
continue-on-error: true
run: |
cd build
$vcdir = $(vswhere -latest -products * -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property installationPath)
$msvc = $(join-path $vcdir $('VC\Tools\MSVC\'+$(gc -raw $(join-path $vcdir 'VC\Auxiliary\Build\Microsoft.VCToolsVersion.default.txt')).Trim()))
$cl = $(join-path $msvc 'bin\Hostx64\x64\cl.exe')
echo 'int main(void){unsigned int a[4];__cpuid(a,7);return !(a[1]&65536);}' >> avx512f.c
& $cl /O2 /GS- /kernel avx512f.c /link /nodefaultlib /entry:main
.\avx512f.exe && echo "AVX512F: YES" && ( echo HAS_AVX512F=1 >> $env:GITHUB_ENV ) || echo "AVX512F: NO"
- name: Test
id: cmake_test
if: ${{ matrix.build != 'clblast' && (matrix.build != 'avx512' || env.HAS_AVX512F == '1') }} # Test AVX-512 only when possible
run: |
cd build
ctest -C Release --verbose --timeout 900
- name: Get commit hash
id: commit
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
uses: pr-mpt/actions-commit-hash@v2
- name: Pack artifacts
id: pack_artifacts
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
run: |
Copy-Item LICENSE .\build\bin\Release\llama.cpp.txt
7z a llama-${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }}-bin-win-${{ matrix.build }}-x64.zip .\build\bin\Release\*
- name: Upload artifacts
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
uses: actions/upload-artifact@v3
with:
path: |
llama-${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }}-bin-win-${{ matrix.build }}-x64.zip
windows-latest-cmake-cublas:
runs-on: windows-latest
strategy:
matrix:
cuda: ['12.1.0', '11.7.1']
build: ['cublas']
steps:
- name: Clone
id: checkout
uses: actions/checkout@v1
- uses: Jimver/cuda-toolkit@v0.2.10
id: cuda-toolkit
with:
cuda: ${{ matrix.cuda }}
# TODO(green-sky): _dev seems to fail, and non dev are not enought
#sub-packages: '["nvcc", "cudart", "cublas", "cudart_dev", "cublas_dev"]'
- name: Build
id: cmake_build
run: |
mkdir build
cd build
cmake .. -DLLAMA_BUILD_SERVER=ON -DLLAMA_CUBLAS=ON
cmake --build . --config Release
- name: Get commit hash
id: commit
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
uses: pr-mpt/actions-commit-hash@v2
- name: Pack artifacts
id: pack_artifacts
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
run: |
7z a llama-${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }}-bin-win-${{ matrix.build }}-cu${{ matrix.cuda }}-x64.zip .\build\bin\Release\*
- name: Upload artifacts
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
uses: actions/upload-artifact@v3
with:
path: |
llama-${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }}-bin-win-${{ matrix.build }}-cu${{ matrix.cuda }}-x64.zip
- name: Copy and pack Cuda runtime
if: ${{ matrix.cuda == '12.1.0' }}
# TODO(green-sky): paths are cuda 12 specific
run: |
echo "Cuda install location: ${{steps.cuda-toolkit.outputs.CUDA_PATH}}"
mkdir '.\build\bin\cudart\'
cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cudart64_12.dll" '.\build\bin\cudart\'
cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cublas64_12.dll" '.\build\bin\cudart\'
cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cublasLt64_12.dll" '.\build\bin\cudart\'
7z a cudart-llama-bin-win-cu${{ matrix.cuda }}-x64.zip .\build\bin\cudart\*
- name: Copy and pack Cuda runtime
if: ${{ matrix.cuda == '11.7.1' }}
# TODO(green-sky): paths are cuda 11 specific
run: |
echo "Cuda install location: ${{steps.cuda-toolkit.outputs.CUDA_PATH}}"
mkdir '.\build\bin\cudart\'
ls "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin"
cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cudart64_110.dll" '.\build\bin\cudart\'
cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cublas64_11.dll" '.\build\bin\cudart\'
cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cublasLt64_11.dll" '.\build\bin\cudart\'
7z a cudart-llama-bin-win-cu${{ matrix.cuda }}-x64.zip .\build\bin\cudart\*
- name: Upload Cuda runtime
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
uses: actions/upload-artifact@v3
with:
path: |
cudart-llama-bin-win-cu${{ matrix.cuda }}-x64.zip
release:
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
runs-on: ubuntu-latest
needs:
- ubuntu-focal-make
- ubuntu-latest-cmake
- macOS-latest-make
- macOS-latest-cmake
- windows-latest-cmake
- windows-latest-cmake-cublas
steps:
- name: Download artifacts
id: download-artifact
uses: actions/download-artifact@v3
- name: Get commit hash
id: commit
uses: pr-mpt/actions-commit-hash@v2
- name: Create release
id: create_release
uses: anzz1/action-create-release@v1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
tag_name: ${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }}
- name: Upload release
id: upload_release
uses: actions/github-script@v3
with:
github-token: ${{secrets.GITHUB_TOKEN}}
script: |
const path = require('path');
const fs = require('fs');
const release_id = '${{ steps.create_release.outputs.id }}';
for (let file of await fs.readdirSync('./artifact')) {
if (path.extname(file) === '.zip') {
console.log('uploadReleaseAsset', file);
await github.repos.uploadReleaseAsset({
owner: context.repo.owner,
repo: context.repo.repo,
release_id: release_id,
name: file,
data: await fs.readFileSync(`./artifact/${file}`)
});
}
}
# ubuntu-latest-gcc:
# runs-on: ubuntu-latest
#
# strategy:
# matrix:
# build: [Debug, Release]
#
# steps:
# - name: Clone
# uses: actions/checkout@v1
#
# - name: Dependencies
# run: |
# sudo apt-get update
# sudo apt-get install build-essential
# sudo apt-get install cmake
#
# - name: Configure
# run: cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }}
#
# - name: Build
# run: |
# make
#
# ubuntu-latest-clang:
# runs-on: ubuntu-latest
#
# strategy:
# matrix:
# build: [Debug, Release]
#
# steps:
# - name: Clone
# uses: actions/checkout@v1
#
# - name: Dependencies
# run: |
# sudo apt-get update
# sudo apt-get install build-essential
# sudo apt-get install cmake
#
# - name: Configure
# run: cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }} -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_COMPILER=clang
#
# - name: Build
# run: |
# make
#
# ubuntu-latest-gcc-sanitized:
# runs-on: ubuntu-latest
#
# strategy:
# matrix:
# sanitizer: [ADDRESS, THREAD, UNDEFINED]
#
# steps:
# - name: Clone
# uses: actions/checkout@v1
#
# - name: Dependencies
# run: |
# sudo apt-get update
# sudo apt-get install build-essential
# sudo apt-get install cmake
#
# - name: Configure
# run: cmake . -DCMAKE_BUILD_TYPE=Debug -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON
#
# - name: Build
# run: |
# make
#
# windows:
# runs-on: windows-latest
#
# strategy:
# matrix:
# build: [Release]
# arch: [Win32, x64]
# include:
# - arch: Win32
# s2arc: x86
# - arch: x64
# s2arc: x64
#
# steps:
# - name: Clone
# uses: actions/checkout@v1
#
# - name: Add msbuild to PATH
# uses: microsoft/setup-msbuild@v1
#
# - name: Configure
# run: >
# cmake -S . -B ./build -A ${{ matrix.arch }}
# -DCMAKE_BUILD_TYPE=${{ matrix.build }}
#
# - name: Build
# run: |
# cd ./build
# msbuild ALL_BUILD.vcxproj -t:build -p:configuration=${{ matrix.build }} -p:platform=${{ matrix.arch }}
#
# - name: Upload binaries
# uses: actions/upload-artifact@v1
# with:
# name: llama-bin-${{ matrix.arch }}
# path: build/bin/${{ matrix.build }}
#
# windows-blas:
# runs-on: windows-latest
#
# strategy:
# matrix:
# build: [Release]
# arch: [Win32, x64]
# blas: [ON]
# include:
# - arch: Win32
# obzip: https://github.com/xianyi/OpenBLAS/releases/download/v0.3.21/OpenBLAS-0.3.21-x86.zip
# s2arc: x86
# - arch: x64
# obzip: https://github.com/xianyi/OpenBLAS/releases/download/v0.3.21/OpenBLAS-0.3.21-x64.zip
# s2arc: x64
#
# steps:
# - name: Clone
# uses: actions/checkout@v1
#
# - name: Add msbuild to PATH
# uses: microsoft/setup-msbuild@v1
#
# - name: Fetch OpenBLAS
# if: matrix.blas == 'ON'
# run: |
# C:/msys64/usr/bin/wget.exe -qO blas.zip ${{ matrix.obzip }}
# 7z x blas.zip -oblas -y
# copy blas/include/cblas.h .
# copy blas/include/openblas_config.h .
# echo "blasdir=$env:GITHUB_WORKSPACE/blas" >> $env:GITHUB_ENV
#
# - name: Configure
# run: >
# cmake -S . -B ./build -A ${{ matrix.arch }}
# -DCMAKE_BUILD_TYPE=${{ matrix.build }}
# -DLLAMA_SUPPORT_OPENBLAS=${{ matrix.blas }}
# -DCMAKE_LIBRARY_PATH="$env:blasdir/lib"
#
# - name: Build
# run: |
# cd ./build
# msbuild ALL_BUILD.vcxproj -t:build -p:configuration=${{ matrix.build }} -p:platform=${{ matrix.arch }}
#
# - name: Copy libopenblas.dll
# if: matrix.blas == 'ON'
# run: copy "$env:blasdir/bin/libopenblas.dll" build/bin/${{ matrix.build }}
#
# - name: Upload binaries
# if: matrix.blas == 'ON'
# uses: actions/upload-artifact@v1
# with:
# name: llama-blas-bin-${{ matrix.arch }}
# path: build/bin/${{ matrix.build }}
#
# emscripten:
# runs-on: ubuntu-latest
#
# strategy:
# matrix:
# build: [Release]
#
# steps:
# - name: Clone
# uses: actions/checkout@v1
#
# - name: Dependencies
# run: |
# wget -q https://github.com/emscripten-core/emsdk/archive/master.tar.gz
# tar -xvf master.tar.gz
# emsdk-master/emsdk update
# emsdk-master/emsdk install latest
# emsdk-master/emsdk activate latest
#
# - name: Configure
# run: echo "tmp"
#
# - name: Build
# run: |
# pushd emsdk-master
# source ./emsdk_env.sh
# popd
# emcmake cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }}
# make

65
.github/workflows/docker.yml vendored
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@ -1,65 +0,0 @@
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.
# GitHub recommends pinning actions to a commit SHA.
# To get a newer version, you will need to update the SHA.
# You can also reference a tag or branch, but the action may change without warning.
name: Publish Docker image
on:
pull_request:
push:
branches:
- master
jobs:
push_to_registry:
name: Push Docker image to Docker Hub
if: github.event.pull_request.draft == false
runs-on: ubuntu-latest
env:
COMMIT_SHA: ${{ github.sha }}
strategy:
matrix:
config:
- { tag: "light", dockerfile: ".devops/main.Dockerfile" }
- { tag: "full", dockerfile: ".devops/full.Dockerfile" }
steps:
- name: Check out the repo
uses: actions/checkout@v3
- name: Set up QEMU
uses: docker/setup-qemu-action@v2
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Log in to Docker Hub
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and push Docker image (versioned)
if: github.event_name == 'push'
uses: docker/build-push-action@v4
with:
context: .
push: true
platforms: linux/amd64,linux/arm64
tags: "ghcr.io/ggerganov/llama.cpp:${{ matrix.config.tag }}-${{ env.COMMIT_SHA }}"
file: ${{ matrix.config.dockerfile }}
- name: Build and push Docker image (tagged)
uses: docker/build-push-action@v4
with:
context: .
push: ${{ github.event_name == 'push' }}
platforms: linux/amd64,linux/arm64
tags: "ghcr.io/ggerganov/llama.cpp:${{ matrix.config.tag }}"
file: ${{ matrix.config.dockerfile }}

17
.github/workflows/editorconfig.yml vendored
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@ -1,17 +0,0 @@
name: EditorConfig Checker
on:
push:
branches:
- master
pull_request:
branches:
- master
jobs:
editorconfig:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: editorconfig-checker/action-editorconfig-checker@main
- run: editorconfig-checker

20
.github/workflows/tidy-post.yml vendored
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@ -1,20 +0,0 @@
name: clang-tidy review post comments
on:
workflow_dispatch:
workflows: ["clang-tidy-review"]
types:
- completed
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: ZedThree/clang-tidy-review/post@v0.13.0
# lgtm_comment_body, max_comments, and annotations need to be set on the posting workflow in a split setup
with:
# adjust options as necessary
lgtm_comment_body: ''
annotations: false
max_comments: 25

23
.github/workflows/tidy-review.yml vendored
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@ -1,23 +0,0 @@
name: clang-tidy-review
on:
pull_request:
branches:
- master
jobs:
clang-tidy-review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: ZedThree/clang-tidy-review@v0.13.0
id: review
with:
lgtm_comment_body: ''
build_dir: build
cmake_command: cmake . -B build -DCMAKE_EXPORT_COMPILE_COMMANDS=on
split_workflow: true
- uses: ZedThree/clang-tidy-review/upload@v0.13.0