Y
Yu Yang 推送
Fix CI 64a4dfef
5639次提交
名称 最后提交 最后更新
..
details LODTensor (Level of details, or Level of sequences Tensor). (#3109)
images "add part of design doc"
.clang-format Use Google Style in new directories
CMakeLists.txt Merge branch 'develop' of github.com:baidu/Paddle into final_fixes
attribute.cc Try make pass
attribute.h Merge branch 'develop' of github.com:baidu/Paddle into feature/refactorize_framework_proto
backward.cc Fix CI and style
backward.h Follow comments and merge develop
backward.md "add part of design doc"
backward_test.cc Follow comments from WangYi
ddim.cc Polish Our code by YuYang's review
ddim.h Polish Our code by YuYang's review
ddim_test.cc Add DDim::size()
dim.h Remove Dim::contiguous and Dim::contiguous_strides
dim_test.cu Refactor DDim's product() and add slice_ddim()
eigen.h ENH: Add EigenScalar
eigen_test.cc ENH: Add EigenScalar
framework.proto Rename op_proto_name/var_names -> parameter/arguments
grad_op_builder.cc Polish Our code by YuYang's review
grad_op_builder.h Fix conflicts
grad_op_builder_test.cc Follow comments from WangYi
lod_tensor.cc LODTensor (Level of details, or Level of sequences Tensor). (#3109)
lod_tensor.h LODTensor (Level of details, or Level of sequences Tensor). (#3109)
lod_tensor_impl.h LODTensor (Level of details, or Level of sequences Tensor). (#3109)
lod_tensor_test.cc LODTensor (Level of details, or Level of sequences Tensor). (#3109)
op_registry.cc
op_registry.h
op_registry_test.cc
operator.cc
operator.h
operator_test.cc
pybind.cc
scope.cc
scope.h
scope_test.cc
tensor.cc
tensor.h
tensor.md
tensor_impl.h
tensor_py.h
tensor_test.cc
variable.h
variable.md
variable_test.cc

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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