名称 最后提交 最后更新
..
contrib update int8 benchmark with 6271 data, test=develop test=document_fix (#20736)
distributed remove async executor python api to fix document (#17174)
dygraph fix en docs of Layer and guard (#20512)
incubate add check nan / inf in downpour worker (#20694)
layers remove assert statement to support sqeeze op in drgraph, test=develop (#20763)
tests Set unique port to every distribute test to avoid potential port conflicts (#20759)
transpiler fix fetch handler error with pslib (#20679)
.gitignore Fix CI and enhance gitignore
__init__.py test=develop, add communicator_is_sgd_optimizer flag (#20677)
annotations.py Apply 2to3 to current paddle main python code
average.py add "import paddle.fluid as fluid" to examples lack of it
backward.py fix fill_constant shape with -1 and enhance cross_entropy test=develop (#20722)
clip.py fix GradientClipByNorm english doc (#20224)
communicator.py Add GEO-SGD distribute training algorithm (#20018)
compiler.py Fix fluid.data of executor (#20365)
core.py New save load interface (#20148)
data.py Modify English doc of fluid.data (#20248)
data_feed_desc.py fix cvm and DataFeedDesc apis (#19994)
data_feeder.py add input type and dtype check for cast_op (#20070)
dataset.py support change shuffle and train thread num (#19841)
debugger.py Nan debugger init (#18401)
default_scope_funcs.py Add print_function for all python files
device_worker.py add thread scope stat accurate metrics test=develop (#19480)
distribute_lookup_table.py add doc string for downpour.py and distribute_lookup_table.py
dygraph_grad_clip.py Add no_grad decorator to dygraph (#17790)
evaluator.py
executor.py
framework.py
graphviz.py
inferencer.py
initializer.py
input.py
install_check.py
io.py
layer_helper.py
layer_helper_base.py
lod_tensor.py
log_helper.py
metrics.py
net_drawer.py
nets.py
op.py
optimizer.py
parallel_executor.py
param_attr.py
profiler.py
reader.py
regularizer.py
sampcd_processor.py
trainer_desc.py
trainer_factory.py
unique_name.py
wrapped_decorator.py

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

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贡献者 228

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开发语言

  • C++ 45.8 %
  • Python 45.5 %
  • Cuda 6.4 %
  • CMake 1.1 %
  • Shell 0.7 %
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