名称 最后提交 最后更新
..
layers move Fluid API code out of V2 API code
tests move Fluid API code out of V2 API code
.gitignore move Fluid API code out of V2 API code
__init__.py move Fluid API code out of V2 API code
backward.py move Fluid API code out of V2 API code
clip.py move Fluid API code out of V2 API code
concurrency.py move Fluid API code out of V2 API code
data_feeder.py move Fluid API code out of V2 API code
debuger.py move Fluid API code out of V2 API code
default_scope_funcs.py move Fluid API code out of V2 API code
distribute_transpiler.py move Fluid API code out of V2 API code
distribute_transpiler_simple.py move Fluid API code out of V2 API code
distributed_spliter.py move Fluid API code out of V2 API code
evaluator.py move Fluid API code out of V2 API code
executor.py move Fluid API code out of V2 API code
framework.py move Fluid API code out of V2 API code
graphviz.py move Fluid API code out of V2 API code
initializer.py move Fluid API code out of V2 API code
io.py move Fluid API code out of V2 API code
layer_helper.py move Fluid API code out of V2 API code
learning_rate_decay.py move Fluid API code out of V2 API code
memory_optimization_transpiler.py move Fluid API code out of V2 API code
net_drawer.py move Fluid API code out of V2 API code
nets.py move Fluid API code out of V2 API code
op.py move Fluid API code out of V2 API code
optimizer.py move Fluid API code out of V2 API code
param_attr.py move Fluid API code out of V2 API code
profiler.py move Fluid API code out of V2 API code
regularizer.py move Fluid API code out of V2 API code
unique_name.py move Fluid API code out of V2 API code

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 %
反馈
建议
客服 返回
顶部