“4e07f259158c758ecf66f31ff861b3bf735f6b92”上不存在“paddle/fluid/git@gitcode.net:paddlepaddle/Paddle.git”
名称 最后提交 最后更新
benchmark Fix .sh file
cmake Merge pull request #12145 from velconia/update_version_via_branch_name
doc Merge pull request #11276 from skylarch/patch-1
go also move a few other dir to legacy/
paddle Merge pull request #12295 from jacquesqiao/speedup-reduce-sum-grad-op
patches/grpc Move grpc changes to patches
proto hide utils to legacy
python Merge pull request #12295 from jacquesqiao/speedup-reduce-sum-grad-op
tools API.spec change requires specific approvals (#12136)
.clang-format fix develop build issue (#10978)
.dockerignore refine docker build
.gitignore Build: generate all the build related files into one directory. (#9512)
.pre-commit-config.yaml Move all pre-commit hooks to tools/codestyle (#11610)
.style.yapf change python code style to pep8
.travis.yml Update the Travis setting to make sure it will upate documentation on (#11998)
AUTHORS.md add author (#11499)
CMakeLists.txt mkl split gemm for better perf
CODE_OF_CONDUCT.md Adding a Code of Conduct for Paddle open source project (#7579)
CODE_OF_CONDUCT_cn.md change CODE_OF_CONDUCT_cn.md from Traditional Chinese to Simplified Chinese
CONTRIBUTING.md also move a few other dir to legacy/
Dockerfile Move LinkChecker from requirements to Dockerfile
Dockerfile.android scripts: clean bash scripts. (#10721)
ISSUE_TEMPLATE.md Revise one word in ISSUE_TEMPLATE.md (#371)
LICENSE Fix the grammar in copyright. (#8403)
README.md follow comments
RELEASE.cn.md update v0.11.0 release note
RELEASE.md change Fluid description

项目简介

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

:rocket: Github 镜像仓库 :rocket:

源项目地址 :arrow_down: :arrow_down: :arrow_down:

https://github.com/paddlepaddle/paddle

deep-learningdistributed-trainingefficiencymachine-learningneural-networkpaddlepaddlepythonscalability

发行版本 60

PaddlePaddle 2.5.0 Release Note

全部发行版

贡献者 246

全部贡献者

开发语言

  • C++ 49.8 %
  • Python 41.0 %
  • Cuda 7.0 %
  • CMake 1.1 %
  • Shell 0.6 %
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