mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2026-04-22 16:07:51 +08:00
[LLM] Add output module and polish docs
This commit is contained in:
-180
@@ -1,180 +0,0 @@
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---
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Language: Cpp
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# BasedOnStyle: LLVM
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||||
AccessModifierOffset: -1
|
||||
AlignAfterOpenBracket: Align
|
||||
AlignArrayOfStructures: None
|
||||
AlignConsecutiveMacros: None
|
||||
AlignConsecutiveAssignments: None
|
||||
AlignConsecutiveBitFields: None
|
||||
AlignConsecutiveDeclarations: None
|
||||
AlignEscapedNewlines: Right
|
||||
AlignOperands: Align
|
||||
AlignTrailingComments: true
|
||||
AllowAllArgumentsOnNextLine: true
|
||||
AllowAllConstructorInitializersOnNextLine: true
|
||||
AllowAllParametersOfDeclarationOnNextLine: true
|
||||
AllowShortEnumsOnASingleLine: true
|
||||
AllowShortBlocksOnASingleLine: Never
|
||||
AllowShortCaseLabelsOnASingleLine: false
|
||||
AllowShortFunctionsOnASingleLine: All
|
||||
AllowShortLambdasOnASingleLine: All
|
||||
AllowShortIfStatementsOnASingleLine: Never
|
||||
AllowShortLoopsOnASingleLine: false
|
||||
AlwaysBreakAfterDefinitionReturnType: None
|
||||
AlwaysBreakAfterReturnType: None
|
||||
AlwaysBreakBeforeMultilineStrings: false
|
||||
AlwaysBreakTemplateDeclarations: MultiLine
|
||||
AttributeMacros:
|
||||
- __capability
|
||||
BinPackArguments: true
|
||||
BinPackParameters: true
|
||||
BraceWrapping:
|
||||
AfterCaseLabel: false
|
||||
AfterClass: false
|
||||
AfterControlStatement: Never
|
||||
AfterEnum: false
|
||||
AfterFunction: false
|
||||
AfterNamespace: false
|
||||
AfterObjCDeclaration: false
|
||||
AfterStruct: false
|
||||
AfterUnion: false
|
||||
AfterExternBlock: false
|
||||
BeforeCatch: false
|
||||
BeforeElse: false
|
||||
BeforeLambdaBody: false
|
||||
BeforeWhile: false
|
||||
IndentBraces: false
|
||||
SplitEmptyFunction: true
|
||||
SplitEmptyRecord: true
|
||||
SplitEmptyNamespace: true
|
||||
BreakBeforeBinaryOperators: None
|
||||
BreakBeforeConceptDeclarations: true
|
||||
BreakBeforeBraces: Attach
|
||||
BreakBeforeInheritanceComma: false
|
||||
BreakInheritanceList: BeforeColon
|
||||
BreakBeforeTernaryOperators: true
|
||||
BreakConstructorInitializersBeforeComma: false
|
||||
BreakConstructorInitializers: BeforeColon
|
||||
BreakAfterJavaFieldAnnotations: false
|
||||
BreakStringLiterals: true
|
||||
ColumnLimit: 80
|
||||
# CommentPragmas: '^ IWYU pragma:'
|
||||
# CommentPragmas: '^[^ ]'
|
||||
CommentPragmas: '^\\.+'
|
||||
CompactNamespaces: false
|
||||
ConstructorInitializerAllOnOneLineOrOnePerLine: false
|
||||
ConstructorInitializerIndentWidth: 4
|
||||
ContinuationIndentWidth: 4
|
||||
Cpp11BracedListStyle: true
|
||||
DeriveLineEnding: true
|
||||
DerivePointerAlignment: false
|
||||
DisableFormat: false
|
||||
EmptyLineAfterAccessModifier: Never
|
||||
EmptyLineBeforeAccessModifier: LogicalBlock
|
||||
ExperimentalAutoDetectBinPacking: false
|
||||
FixNamespaceComments: true
|
||||
ForEachMacros:
|
||||
- foreach
|
||||
- Q_FOREACH
|
||||
- BOOST_FOREACH
|
||||
IfMacros:
|
||||
- KJ_IF_MAYBE
|
||||
IncludeBlocks: Preserve
|
||||
IncludeCategories:
|
||||
- Regex: '^"(llvm|llvm-c|clang|clang-c)/'
|
||||
Priority: 2
|
||||
SortPriority: 0
|
||||
CaseSensitive: false
|
||||
- Regex: '^(<|"(gtest|gmock|isl|json)/)'
|
||||
Priority: 3
|
||||
SortPriority: 0
|
||||
CaseSensitive: false
|
||||
- Regex: '.*'
|
||||
Priority: 1
|
||||
SortPriority: 0
|
||||
CaseSensitive: false
|
||||
IncludeIsMainRegex: '(Test)?$'
|
||||
IncludeIsMainSourceRegex: ''
|
||||
IndentAccessModifiers: false
|
||||
IndentCaseLabels: false
|
||||
IndentCaseBlocks: false
|
||||
IndentGotoLabels: true
|
||||
IndentPPDirectives: None
|
||||
IndentExternBlock: AfterExternBlock
|
||||
IndentRequires: false
|
||||
IndentWidth: 2
|
||||
IndentWrappedFunctionNames: false
|
||||
InsertTrailingCommas: None
|
||||
JavaScriptQuotes: Leave
|
||||
JavaScriptWrapImports: true
|
||||
KeepEmptyLinesAtTheStartOfBlocks: true
|
||||
LambdaBodyIndentation: Signature
|
||||
MacroBlockBegin: ''
|
||||
MacroBlockEnd: ''
|
||||
MaxEmptyLinesToKeep: 1
|
||||
NamespaceIndentation: None
|
||||
ObjCBinPackProtocolList: Auto
|
||||
ObjCBlockIndentWidth: 2
|
||||
ObjCBreakBeforeNestedBlockParam: true
|
||||
ObjCSpaceAfterProperty: false
|
||||
ObjCSpaceBeforeProtocolList: true
|
||||
PenaltyBreakAssignment: 2
|
||||
PenaltyBreakBeforeFirstCallParameter: 19
|
||||
PenaltyBreakComment: 300
|
||||
PenaltyBreakFirstLessLess: 120
|
||||
PenaltyBreakString: 1000
|
||||
PenaltyBreakTemplateDeclaration: 10
|
||||
PenaltyExcessCharacter: 1000000
|
||||
PenaltyReturnTypeOnItsOwnLine: 60
|
||||
PenaltyIndentedWhitespace: 0
|
||||
PointerAlignment: Left
|
||||
PPIndentWidth: -1
|
||||
ReferenceAlignment: Pointer
|
||||
ReflowComments: false
|
||||
ShortNamespaceLines: 1
|
||||
SortIncludes: CaseSensitive
|
||||
SortJavaStaticImport: Before
|
||||
SortUsingDeclarations: true
|
||||
SpaceAfterCStyleCast: false
|
||||
SpaceAfterLogicalNot: false
|
||||
SpaceAfterTemplateKeyword: true
|
||||
SpaceBeforeAssignmentOperators: true
|
||||
SpaceBeforeCaseColon: false
|
||||
SpaceBeforeCpp11BracedList: false
|
||||
SpaceBeforeCtorInitializerColon: true
|
||||
SpaceBeforeInheritanceColon: true
|
||||
SpaceBeforeParens: ControlStatements
|
||||
SpaceAroundPointerQualifiers: Default
|
||||
SpaceBeforeRangeBasedForLoopColon: true
|
||||
SpaceInEmptyBlock: false
|
||||
SpaceInEmptyParentheses: false
|
||||
SpacesBeforeTrailingComments: 2
|
||||
SpacesInAngles: Never
|
||||
SpacesInConditionalStatement: false
|
||||
SpacesInContainerLiterals: true
|
||||
SpacesInCStyleCastParentheses: false
|
||||
SpacesInLineCommentPrefix:
|
||||
Minimum: 1
|
||||
Maximum: -1
|
||||
SpacesInParentheses: false
|
||||
SpacesInSquareBrackets: false
|
||||
SpaceBeforeSquareBrackets: false
|
||||
BitFieldColonSpacing: Both
|
||||
Standard: Latest
|
||||
StatementAttributeLikeMacros:
|
||||
- Q_EMIT
|
||||
StatementMacros:
|
||||
- Q_UNUSED
|
||||
- QT_REQUIRE_VERSION
|
||||
TabWidth: 8
|
||||
UseCRLF: false
|
||||
UseTab: Never
|
||||
WhitespaceSensitiveMacros:
|
||||
- STRINGIZE
|
||||
- PP_STRINGIZE
|
||||
- BOOST_PP_STRINGIZE
|
||||
- NS_SWIFT_NAME
|
||||
- CF_SWIFT_NAME
|
||||
...
|
||||
|
||||
@@ -1,15 +0,0 @@
|
||||
#!/bin/bash
|
||||
set -e
|
||||
|
||||
readonly VERSION="3.8"
|
||||
|
||||
version=$(clang-format -version)
|
||||
|
||||
if ! [[ version==∗"VERSION"* ]]; then
|
||||
echo "clang-format version check failed."
|
||||
echo "a version contains 'VERSION′isneeded,butget′version'"
|
||||
echo "you can install the right version, and make an soft-link to '$PATH' env"
|
||||
exit -1
|
||||
fi
|
||||
|
||||
clang-format -style=google $@
|
||||
@@ -1,60 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
#TOTAL_ERRORS=0
|
||||
#echo "HAHAHAHAHHA"
|
||||
#exit 5
|
||||
#
|
||||
#files=$(
|
||||
#
|
||||
#if [[ ! $TRAVIS_BRANCH ]]; then
|
||||
# # install cpplint on local machine.
|
||||
# if [[ ! $(which cpplint) ]]; then
|
||||
# pip install cpplint
|
||||
# fi
|
||||
# # diff files on local machine.
|
||||
# files=$(git diff --cached --name-status | awk 'Extra open brace or missing close brace2}')
|
||||
#else
|
||||
# # diff files between PR and latest commit on Travis CI.
|
||||
# branch_ref=(gitrev−parse"TRAVIS_BRANCH")
|
||||
# head_ref=$(git rev-parse HEAD)
|
||||
# files=(gitdiff−−name−statusbranch_ref $head_ref | awk 'Extra open brace or missing close brace2}')
|
||||
#fi
|
||||
## The trick to remove deleted files: https://stackoverflow.com/a/2413151
|
||||
#for file in $files; do
|
||||
# echo $file
|
||||
# if [[ $file =~ ^(patches/.*) ]]; then
|
||||
# continue;
|
||||
# else
|
||||
# cpplint --filter=-readability/fn_size $file;
|
||||
# TOTAL_ERRORS=(exprTOTAL_ERRORS + $?);
|
||||
# fi
|
||||
#done
|
||||
#
|
||||
#exit $TOTAL_ERRORS
|
||||
|
||||
if git rev-parse --verify HEAD >/dev/null 2>&1
|
||||
then
|
||||
against=HEAD
|
||||
else
|
||||
# Initial commit: diff against an empty tree object
|
||||
against=4b825dc642cb6eb9a060e54bf8d69288fbee4904
|
||||
fi
|
||||
|
||||
# Redirect output to stderr.
|
||||
exec 1>&2
|
||||
|
||||
cpplint=cpplint
|
||||
sum=0
|
||||
filters='-build/include_order,-build/namespaces,-legal/copyright,-runtime/references,-build/include_what_you_use'
|
||||
|
||||
# for cpp
|
||||
for file in $(git diff-index --name-status $against -- | grep -E '\.[ch](pp)?$' | awk '{print $2}'); do
|
||||
$cpplint --filter=$filters $file
|
||||
sum=$(expr ${sum} + $?)
|
||||
done
|
||||
|
||||
if [ ${sum} -eq 0 ]; then
|
||||
exit 0
|
||||
else
|
||||
exit 1
|
||||
fi
|
||||
+158
-67
@@ -1,69 +1,160 @@
|
||||
build
|
||||
cmake-build-debug
|
||||
cmake-build-release
|
||||
.vscode
|
||||
FastDeploy.cmake
|
||||
build-debug.sh
|
||||
*dist
|
||||
fastdeploy.egg-info
|
||||
fastdeploy_python.egg-info
|
||||
fastdeploy_gpu_python.egg-info
|
||||
.setuptools-cmake-build
|
||||
fastdeploy/version.py
|
||||
fastdeploy/core/config.h
|
||||
python/fastdeploy/c_lib_wrap.py
|
||||
python/fastdeploy/LICENSE*
|
||||
python/build_cpu.sh
|
||||
python/fastdeploy/ThirdPartyNotices*
|
||||
*.so*
|
||||
fpython/astdeploy/libs/third_libs
|
||||
fastdeploy/core/config.h
|
||||
fastdeploy/pybind/main.cc
|
||||
python/fastdeploy/libs/lib*
|
||||
python/fastdeploy/libs/third_libs
|
||||
__pycache__
|
||||
build_fd_android.sh
|
||||
python/scripts/process_libraries.py
|
||||
.vs
|
||||
.idea
|
||||
.DS_Store
|
||||
miniprogram_npm
|
||||
node_modules
|
||||
.DS_Store
|
||||
dist
|
||||
etc
|
||||
lib
|
||||
dist-ssr
|
||||
coverage
|
||||
*.local
|
||||
yalc.*
|
||||
.yalc
|
||||
examples/vision/collect_quantize_cc.sh
|
||||
examples/vision/tests_quantize
|
||||
fastdeploy/LICENSE
|
||||
fastdeploy/ThirdPartyNotices.txt
|
||||
FastDeployCSharp.cmake
|
||||
python/fastdeploy/code_version.py
|
||||
*.pdmodel
|
||||
*.pdiparams
|
||||
*.pdiparams.info
|
||||
log.txt
|
||||
serving/build
|
||||
serving/build.encrypt
|
||||
serving/build.encrypt.auth
|
||||
output
|
||||
res
|
||||
tmp
|
||||
# Virtualenv
|
||||
/.venv/
|
||||
/venv/
|
||||
|
||||
# Byte-compiled / optimized / DLL files
|
||||
__pycache__/
|
||||
*.py[cod]
|
||||
*$py.class
|
||||
|
||||
# C extensions
|
||||
*.so
|
||||
|
||||
# Distribution / packaging
|
||||
/bin/
|
||||
/build/
|
||||
/develop-eggs/
|
||||
dist/
|
||||
/eggs/
|
||||
/lib/
|
||||
/lib64/
|
||||
/output/
|
||||
/parts/
|
||||
/sdist/
|
||||
/var/
|
||||
*.egg-info/
|
||||
.installed.cfg
|
||||
*.egg
|
||||
.eggs
|
||||
|
||||
# AUTHORS and ChangeLog will be generated while packaging
|
||||
/AUTHORS
|
||||
/ChangeLog
|
||||
|
||||
# BCloud / BuildSubmitter
|
||||
/build_submitter.*
|
||||
/logger_client_log
|
||||
|
||||
# Installer logs
|
||||
pip-log.txt
|
||||
pip-delete-this-directory.txt
|
||||
|
||||
# Unit test / coverage reports
|
||||
.tox/
|
||||
.coverage
|
||||
.cache
|
||||
.pytest_cache
|
||||
nosetests.xml
|
||||
coverage.xml
|
||||
|
||||
# Translations
|
||||
*.mo
|
||||
*.pot
|
||||
*.doctree
|
||||
|
||||
# Sphinx documentation
|
||||
/docs/_build/
|
||||
|
||||
.env
|
||||
log
|
||||
nohup.out
|
||||
llm/server/__pycache__
|
||||
llm/server/data/__pycache__
|
||||
llm/server/engine/__pycache__
|
||||
llm/server/http_server/__pycache__
|
||||
llm/server/log/
|
||||
llm/client/build/
|
||||
llm/client/dist/
|
||||
llm/client/fastdeploy_client.egg-info/
|
||||
llm/client/fastdeploy_client/tests/log/
|
||||
*.pyc
|
||||
.vscode
|
||||
.idea
|
||||
|
||||
# PyInstaller
|
||||
# Usually these files are written by a python script from a template
|
||||
# before PyInstaller builds the exe, so as to inject date/other infos into it.
|
||||
*.manifest
|
||||
*.spec
|
||||
|
||||
# Django stuff:
|
||||
*.log
|
||||
local_settings.py
|
||||
db.sqlite3
|
||||
|
||||
# Flask stuff:
|
||||
instance/
|
||||
.webassets-cache
|
||||
|
||||
# Scrapy stuff:
|
||||
.scrapy
|
||||
|
||||
# PyBuilder
|
||||
target/
|
||||
|
||||
# Jupyter Notebook
|
||||
.ipynb_checkpoints
|
||||
|
||||
# IPython
|
||||
profile_default/
|
||||
ipython_config.py
|
||||
|
||||
# pyenv
|
||||
.python-version
|
||||
|
||||
# celery beat schedule file
|
||||
celerybeat-schedule
|
||||
|
||||
# SageMath parsed files
|
||||
*.sage.py
|
||||
|
||||
# Spyder project settings
|
||||
.spyderproject
|
||||
.spyproject
|
||||
|
||||
# Rope project settings
|
||||
.ropeproject
|
||||
|
||||
# mkdocs documentation
|
||||
/site
|
||||
|
||||
# mypy
|
||||
.mypy_cache/
|
||||
.dmypy.json
|
||||
dmypy.json
|
||||
|
||||
# Pyre type checker
|
||||
.pyre/
|
||||
|
||||
# pycharm
|
||||
.DS_Store
|
||||
.idea/
|
||||
FETCH_HEAD
|
||||
|
||||
#log
|
||||
log/
|
||||
|
||||
checkpoints/
|
||||
checkpoints_origin/
|
||||
result/
|
||||
result_lora/
|
||||
|
||||
# npu kernel cache
|
||||
kernel_meta*
|
||||
|
||||
# building custom ops cache and auto-generated codes
|
||||
*.o
|
||||
fastdeploy_ops.py
|
||||
version.txt
|
||||
EGG-INFO/
|
||||
|
||||
# fp8 generated codes
|
||||
autogen/
|
||||
fp8_fp8_gemm_scale_bias_act.cu
|
||||
fp8_fp8_dual_gemm_scale_bias_act.cu
|
||||
visitor_fp8_gemm_fused.cu
|
||||
|
||||
# third party
|
||||
custom_ops/third_party
|
||||
|
||||
fastdeploy/model_executor/ops/base
|
||||
fastdeploy/model_executor/ops/gpu/deep_gemm
|
||||
|
||||
gemm_profiles.json
|
||||
nohup.out
|
||||
|
||||
#fp8_deep_gemm
|
||||
custom_ops/gpu_ops/fp8_deep_gemm/deep_gemm/include/cutlass
|
||||
custom_ops/gpu_ops/fp8_deep_gemm/deep_gemm/include/cute
|
||||
|
||||
# buff
|
||||
custom_ops/tmp*
|
||||
|
||||
+54
-37
@@ -1,38 +1,55 @@
|
||||
default_install_hook_types:
|
||||
- pre-commit
|
||||
- commit-msg
|
||||
default_stages:
|
||||
- pre-commit # Run locally
|
||||
# - manual # Run in CI
|
||||
repos:
|
||||
- repo: https://github.com/pre-commit/pre-commit-hooks
|
||||
rev: ed714747d7acbc5790b171702bb012af3b0fe145
|
||||
hooks:
|
||||
- id: check-merge-conflict
|
||||
- id: check-symlinks
|
||||
- id: end-of-file-fixer
|
||||
- id: trailing-whitespace
|
||||
- id: detect-private-key
|
||||
- id: check-symlinks
|
||||
- id: check-added-large-files
|
||||
|
||||
- repo: local
|
||||
hooks:
|
||||
- id: copyright_checker
|
||||
name: copyright_checker
|
||||
entry: python ./.copyright.hook
|
||||
language: system
|
||||
files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|proto|py)$
|
||||
exclude: (?!.*third_party)^.*$
|
||||
|
||||
- repo: local
|
||||
hooks:
|
||||
- id: clang-format-with-version-check
|
||||
name: clang-format
|
||||
description: Format files with ClangFormat.
|
||||
entry: bash .clang_format.hook -i
|
||||
language: system
|
||||
files: \.(c|cc|cxx|cpp|cu|hxx|proto)$
|
||||
|
||||
- repo: local
|
||||
hooks:
|
||||
- id: cpplint-cpp-source
|
||||
name: cpplint
|
||||
description: Check C++ code style using cpplint.py.
|
||||
entry: bash .cpplint_pre_commit.hook
|
||||
language: system
|
||||
files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx)$
|
||||
# 格式化
|
||||
- repo: https://github.com/google/yapf
|
||||
rev: v0.43.0
|
||||
hooks:
|
||||
- id: yapf
|
||||
args: [--in-place, --verbose]
|
||||
# 代码检查
|
||||
- repo: https://github.com/astral-sh/ruff-pre-commit
|
||||
rev: v0.11.7
|
||||
hooks:
|
||||
- id: ruff
|
||||
args: [--output-format, github, --fix]
|
||||
# # 拼写检查
|
||||
# - repo: https://github.com/codespell-project/codespell
|
||||
# rev: v2.4.1
|
||||
# hooks:
|
||||
# - id: codespell
|
||||
# additional_dependencies: ['tomli']
|
||||
# args: ['--toml', 'pyproject.toml']
|
||||
# 自动排序
|
||||
- repo: https://github.com/PyCQA/isort
|
||||
rev: 6.0.1
|
||||
hooks:
|
||||
- id: isort
|
||||
# 格式化
|
||||
- repo: https://github.com/pre-commit/mirrors-clang-format
|
||||
rev: v20.1.3
|
||||
hooks:
|
||||
- id: clang-format
|
||||
# exclude: '.*'
|
||||
types_or: [c++, cuda]
|
||||
args: [--style=file, --verbose]
|
||||
# markdown
|
||||
- repo: https://github.com/jackdewinter/pymarkdown
|
||||
rev: v0.9.29
|
||||
hooks:
|
||||
- id: pymarkdown
|
||||
args: [fix]
|
||||
- repo: https://github.com/pre-commit/pre-commit-hooks
|
||||
rev: v5.0.0
|
||||
hooks:
|
||||
- id: check-merge-conflict
|
||||
- id: check-symlinks
|
||||
- id: end-of-file-fixer
|
||||
- id: trailing-whitespace
|
||||
- id: detect-private-key
|
||||
- id: check-symlinks
|
||||
- id: check-added-large-files
|
||||
|
||||
@@ -1,5 +1,16 @@
|
||||
# FastDeploy 2.0: 大模型推理部署
|
||||
|
||||
<p align="center">
|
||||
<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
|
||||
<a href="https://github.com/PaddlePaddle/FastDeploy/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/FastDeploy?color=ffa"></a>
|
||||
<a href=""><img src="https://img.shields.io/badge/python-3.10+-aff.svg"></a>
|
||||
<a href=""><img src="https://img.shields.io/badge/os-linux-pink.svg"></a>
|
||||
<a href="https://github.com/PaddlePaddle/FastDeploy/graphs/contributors"><img src="https://img.shields.io/github/contributors/PaddlePaddle/FastDeploy?color=9ea"></a>
|
||||
<a href="https://github.com/PaddlePaddle/FastDeploy/commits"><img src="https://img.shields.io/github/commit-activity/m/PaddlePaddle/FastDeploy?color=3af"></a>
|
||||
<a href="https://github.com/PaddlePaddle/FastDeploy/issues"><img src="https://img.shields.io/github/issues/PaddlePaddle/FastDeploy?color=9cc"></a>
|
||||
<a href="https://github.com/PaddlePaddle/FastDeploy/stargazers"><img src="https://img.shields.io/github/stars/PaddlePaddle/FastDeploy?color=ccf"></a>
|
||||
</p>
|
||||
|
||||
FastDeploy升级2.0版本支持多种大模型推理(当前仅支持Qwen2,更多模型即将更新支持),其推理部署功能涵盖:
|
||||
|
||||
- 一行命令即可快速实现模型的服务化部署,并支持流式生成
|
||||
@@ -9,6 +20,8 @@ FastDeploy升级2.0版本支持多种大模型推理(当前仅支持Qwen2,
|
||||
- 提供 Weight only int8/int4 无损压缩方案
|
||||
- 支持 Prometheus Metrics 指标
|
||||
|
||||
> 注意: 老版本FastDeploy对于小模型的支持,请checkout [release/1.1.0分支](https://github.com/PaddlePaddle/FastDeploy/tree/release/1.1.0)。
|
||||
|
||||
## 环境依赖
|
||||
- A800/H800/H100
|
||||
- Python>=3.10
|
||||
@@ -18,10 +31,9 @@ FastDeploy升级2.0版本支持多种大模型推理(当前仅支持Qwen2,
|
||||
|
||||
## 安装
|
||||
|
||||
推荐使用Docker环境
|
||||
推荐使用Docker安装
|
||||
```
|
||||
docker pull
|
||||
iregistry.baidu-int.com/paddlecloud/base-images:paddlecloud-ubuntu24.04-gcc12.3-cuda12.8-cudnn9.7-openmpi4.1.5-bccl2.15.5.4-ofed24.10-hadoop2.2.4.2-afsshell1.9.3.4095-250227
|
||||
docker pull iregistry.baidu-int.com/paddlepaddle/fastdeploy:2.0.0-alpha
|
||||
```
|
||||
|
||||
### 源码安装
|
||||
@@ -33,9 +45,7 @@ python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/
|
||||
2. 安装FastDeploy
|
||||
|
||||
```
|
||||
# git clone FastDeploy仓库
|
||||
cd FastDeploy
|
||||
# 一键编译+安装本机可用的sm架构,whl包产物在dist/
|
||||
bash build.sh
|
||||
```
|
||||
|
||||
|
||||
@@ -0,0 +1,15 @@
|
||||
"""
|
||||
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License"
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
"""
|
||||
@@ -0,0 +1,306 @@
|
||||
"""
|
||||
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License"
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
"""
|
||||
import os
|
||||
import threading
|
||||
import time
|
||||
import traceback
|
||||
from collections import Counter
|
||||
|
||||
from paddlenlp.utils.env import MAX_BSZ, MAX_DRAFT_TOKENS, SPECULATE_MAX_BSZ
|
||||
|
||||
from fastdeploy.engine.request import (CompletionOutput, RequestMetrics,
|
||||
RequestOutput)
|
||||
from fastdeploy.metrics.metrics import main_process_metrics
|
||||
from fastdeploy.utils import llm_logger
|
||||
|
||||
|
||||
class TokenProcessor(object):
|
||||
"""
|
||||
get Token/Score from Paddle inference engine
|
||||
"""
|
||||
|
||||
def __init__(self, cfg, cached_generated_tokens):
|
||||
import paddle
|
||||
|
||||
paddle.device.set_device("cpu")
|
||||
self.cfg = cfg
|
||||
self.cached_generated_tokens = cached_generated_tokens
|
||||
self.resource_manager = None
|
||||
|
||||
self.tokens_counter = Counter()
|
||||
|
||||
self.is_speculate_decoding = False
|
||||
if self.is_speculate_decoding:
|
||||
self.output_tokens = paddle.full(shape=[
|
||||
SPECULATE_MAX_BSZ * MAX_DRAFT_TOKENS + SPECULATE_MAX_BSZ + 2, 1
|
||||
],
|
||||
fill_value=2,
|
||||
dtype="int64")
|
||||
else:
|
||||
self.output_tokens = paddle.full(shape=[MAX_BSZ + 2, 1],
|
||||
fill_value=2,
|
||||
dtype="int64")
|
||||
self.worker = None
|
||||
|
||||
self.statics_start_time = time.time()
|
||||
self.number_of_tasks = 0
|
||||
self.number_of_input_tokens = 0
|
||||
self.number_of_output_tokens = 0
|
||||
self.total_step = 0
|
||||
|
||||
def set_resource_manager(self, resource_manager):
|
||||
"""
|
||||
set ResourceManager
|
||||
|
||||
Args:
|
||||
resource_manager (ResourceManager)
|
||||
"""
|
||||
assert self.resource_manager is None, "The resource manager is not None, cannot set again."
|
||||
self.resource_manager = resource_manager
|
||||
|
||||
def run(self):
|
||||
"""
|
||||
start thread to get tokens
|
||||
"""
|
||||
assert self.resource_manager is not None, "The resource manager is None, cannot run."
|
||||
if self.worker is not None:
|
||||
raise Exception("Worker is already running!")
|
||||
|
||||
self.worker = threading.Thread(target=self.process_sampling_results,
|
||||
args=())
|
||||
self.worker.daemon = True
|
||||
self.worker.start()
|
||||
|
||||
def process_sampling_results(self):
|
||||
"""
|
||||
read tokens from paddle inference engine and process
|
||||
"""
|
||||
from fastdeploy.model_executor.models import \
|
||||
inference_runner_supported_models
|
||||
if self.cfg.model_config.architectures not in inference_runner_supported_models \
|
||||
and "ErnieMoEVLForCausalLM" not in self.cfg.model_config.architectures:
|
||||
from paddlenlp_ops import get_output, speculate_get_output
|
||||
else:
|
||||
os.environ["ELLM_LOG_LEVEL"] = "3"
|
||||
use_pip_eff_llm = os.getenv('USE_PIP_EFF_LLM')
|
||||
if use_pip_eff_llm is None:
|
||||
from fastdeploy.model_executor.ops.gpu import (
|
||||
get_output, speculate_get_output)
|
||||
else:
|
||||
from efficientllm.ops.gpu import (get_output,
|
||||
speculate_get_output)
|
||||
|
||||
while True:
|
||||
try:
|
||||
rank_id = 0
|
||||
is_blocking = True
|
||||
if self.is_speculate_decoding:
|
||||
speculate_get_output(self.output_tokens, rank_id,
|
||||
is_blocking)
|
||||
else:
|
||||
get_output(self.output_tokens, rank_id, is_blocking)
|
||||
|
||||
if self.output_tokens[0, 0] == -2:
|
||||
continue
|
||||
|
||||
self._process_batch_output()
|
||||
except Exception as e:
|
||||
llm_logger.info("while get input_data error: {0} {1}".format(
|
||||
e, str(traceback.format_exc())))
|
||||
|
||||
def postprocess(self, batch_result):
|
||||
"""
|
||||
single post-processing function
|
||||
|
||||
Args:
|
||||
batch_result (list): batch results
|
||||
"""
|
||||
self.cached_generated_tokens.put_results(batch_result)
|
||||
|
||||
def _recycle_resources(self, task_id, index, task):
|
||||
"""
|
||||
recycle resources
|
||||
"""
|
||||
self.resource_manager.stop_flags[index] = True
|
||||
self.resource_manager.tasks_list[index] = None
|
||||
self.resource_manager._recycle_block_tables(task.block_tables)
|
||||
if task_id in self.tokens_counter:
|
||||
del self.tokens_counter[task_id]
|
||||
|
||||
def _process_batch_output(self):
|
||||
"""
|
||||
batch post-processing function
|
||||
"""
|
||||
tokens = self.output_tokens.numpy()
|
||||
batch = self.output_tokens[1, 0]
|
||||
if not self.is_speculate_decoding:
|
||||
tokens = tokens[2:batch + 2]
|
||||
else:
|
||||
accept_num = tokens[2:batch + 2]
|
||||
|
||||
batch_result = list()
|
||||
for i in range(batch):
|
||||
if self.resource_manager.stop_flags[i]:
|
||||
continue
|
||||
|
||||
if not self.is_speculate_decoding:
|
||||
token_ids = [int(tokens[i, 0])]
|
||||
else:
|
||||
token_ids = tokens[
|
||||
2 + SPECULATE_MAX_BSZ + i * MAX_DRAFT_TOKENS:2 +
|
||||
SPECULATE_MAX_BSZ + i * MAX_DRAFT_TOKENS +
|
||||
accept_num[i, 0],
|
||||
0,
|
||||
].tolist()
|
||||
if any(token_id < 0 for token_id in token_ids):
|
||||
continue
|
||||
|
||||
task = self.resource_manager.tasks_list[i]
|
||||
|
||||
if self.cfg.enable_chunked_prefill:
|
||||
if task.get("prefill_token_num", None) is None:
|
||||
task.set("prefill_token_num", task.token_chunk_size)
|
||||
else:
|
||||
task.prefill_token_num += task.token_chunk_size
|
||||
if task.prompt_token_ids_len > task.prefill_token_num:
|
||||
continue
|
||||
|
||||
task_id = task.request_id
|
||||
|
||||
self.total_step += 1
|
||||
current_time = time.time()
|
||||
if self.tokens_counter[task_id] == 0:
|
||||
metrics = RequestMetrics(
|
||||
arrival_time=task.arrival_time,
|
||||
inference_start_time=task.inference_start_time,
|
||||
first_token_time=time.time() - task.inference_start_time,
|
||||
time_in_queue=task.schedule_start_time -
|
||||
task.preprocess_end_time,
|
||||
preprocess_cost_time=task.preprocess_end_time -
|
||||
task.preprocess_start_time)
|
||||
|
||||
main_process_metrics.time_to_first_token.observe(
|
||||
current_time - task.inference_start_time)
|
||||
main_process_metrics.request_queue_time.observe(
|
||||
metrics.time_in_queue)
|
||||
|
||||
else:
|
||||
if hasattr(task, 'last_token_time'
|
||||
) and task.last_token_time is not None:
|
||||
token_gen_time = current_time - task.last_token_time
|
||||
main_process_metrics.time_per_output_token.observe(
|
||||
token_gen_time)
|
||||
|
||||
task.last_token_time = current_time
|
||||
metrics = RequestMetrics(
|
||||
arrival_time=time.time(),
|
||||
request_start_time=task.arrival_time,
|
||||
)
|
||||
self.number_of_output_tokens += len(token_ids)
|
||||
result = RequestOutput(request_id=task_id,
|
||||
outputs=CompletionOutput(index=i,
|
||||
token_ids=[]),
|
||||
finished=False,
|
||||
metrics=metrics)
|
||||
if self.tokens_counter[task_id] == 0:
|
||||
if task.messages is not None:
|
||||
result.prompt = task.messages
|
||||
result.prompt_token_ids = task.prompt_token_ids
|
||||
|
||||
for token_id in token_ids:
|
||||
self.tokens_counter[task_id] += 1
|
||||
result.outputs.token_ids.append(token_id)
|
||||
if token_id in task.eos_token_ids:
|
||||
result.finished = True
|
||||
result.prompt = task.prompt
|
||||
result.prompt_token_ids = task.prompt_token_ids
|
||||
llm_logger.info(
|
||||
f"Request: {task_id} finished, number of "
|
||||
f"generated tokens: {self.tokens_counter[task_id]}.")
|
||||
llm_logger.info(
|
||||
f"Request: {task_id} token ratio: {self.tokens_counter[task_id] / (time.time() - task.inference_start_time)}"
|
||||
)
|
||||
llm_logger.info(f"{self.resource_manager.info()}")
|
||||
llm_logger.info(
|
||||
f"Speculate accept ratio: {1 - self.total_step * 1.0 / self.number_of_output_tokens}"
|
||||
f" total step: {self.total_step}. total_output_token_num: {self.number_of_output_tokens}"
|
||||
)
|
||||
self._recycle_resources(task_id, i, task)
|
||||
main_process_metrics.num_requests_running.dec(1)
|
||||
main_process_metrics.request_inference_time.observe(
|
||||
current_time - task.inference_start_time)
|
||||
break
|
||||
batch_result.append(result)
|
||||
|
||||
self.postprocess(batch_result)
|
||||
|
||||
|
||||
class WarmUpTokenProcessor(TokenProcessor):
|
||||
"""
|
||||
Warmup Processor
|
||||
"""
|
||||
|
||||
def __init__(self, cfg):
|
||||
super().__init__(cfg)
|
||||
self._is_running = True
|
||||
self._is_blocking = True
|
||||
|
||||
def postprocess(self, batch_result):
|
||||
pass
|
||||
|
||||
def process_sampling_results(self):
|
||||
"""
|
||||
get output from model and process it
|
||||
"""
|
||||
from fastdeploy.model_executor.models import \
|
||||
inference_runner_supported_models
|
||||
if self.cfg.model_config.architectures not in inference_runner_supported_models \
|
||||
and "ErnieMoEVLForCausalLM" not in self.cfg.model_config.architectures:
|
||||
from paddlenlp_ops import get_output, speculate_get_output
|
||||
else:
|
||||
os.environ["ELLM_LOG_LEVEL"] = "3"
|
||||
use_pip_eff_llm = os.getenv('USE_PIP_EFF_LLM')
|
||||
if use_pip_eff_llm is None:
|
||||
from fastdeploy.model_executor.ops.gpu import (
|
||||
get_output, speculate_get_output)
|
||||
else:
|
||||
from efficientllm.ops.gpu import (get_output,
|
||||
speculate_get_output)
|
||||
|
||||
while self._is_running:
|
||||
try:
|
||||
rank_id = 0
|
||||
if self.is_speculate_decoding:
|
||||
speculate_get_output(self.output_tokens, rank_id,
|
||||
self._is_blocking)
|
||||
else:
|
||||
get_output(self.output_tokens, rank_id, self._is_blocking)
|
||||
|
||||
if self.output_tokens[0, 0] == -2:
|
||||
continue
|
||||
self._process_batch_output()
|
||||
except Exception as e:
|
||||
llm_logger.info("while get input_data error: {0} {1}".format(
|
||||
e, str(traceback.format_exc())))
|
||||
|
||||
def stop(self):
|
||||
"""
|
||||
stop warm up thread
|
||||
"""
|
||||
self._is_running = False
|
||||
self.worker.join()
|
||||
llm_logger.info("warm up thread stop")
|
||||
del self.worker
|
||||
Reference in New Issue
Block a user