名称 最后提交 最后更新
..
contrib Add Support Layer List to ASP (#40253)
dataloader fix IterableDataset may block model when num_workers > 0. test=develop (#40541)
distributed [heterps]change default executor for heter trainer (#37314)
dygraph [MLU] support amp O1 of mlu (#40461)
incubate fix bug in new the_one_ps (#39505)
inference Add FasterTokenizer Operator (#34491)
layers Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into add_some_yaml_config
tests Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into add_some_yaml_config
transpiler fix bind failed with Address already in use (#38174)
.gitignore Fix CI and enhance gitignore
__init__.py clean up DeviceManager in advance manually (#40504)
average.py add "import paddle.fluid as fluid" to examples lack of it
backward.py Symbolic Hessian (#39221)
clip.py Add the DistributedFusedLamb optimizer (#39148)
communicator.py upgrade async distributed training in pscore (#37515)
compiler.py [IPU] Update IpuStrategy Python Part (#39646)
core.py add python profiler package (#40065)
data.py 修改了 示例代码错误 (#36041)
data_feed_desc.py English API Docs Optimization Part 1 (#24536)
data_feeder.py [AMP] support GPU BF16 amp for dygraph (#39029)
dataset.py pscore global shuffle&default accessor config (#37626)
debugger.py Delete fast_check_nan_inf (#31788)
default_scope_funcs.py Add print_function for all python files
device_worker.py [Heterps]Refactor Heter Pipeline Parameter Server (#36845)
distribute_lookup_table.py add doc string for downpour.py and distribute_lookup_table.py
dygraph_utils.py
entry_attr.py
evaluator.py
executor.py
framework.py
generator.py
graphviz.py
initializer.py
input.py
install_check.py
io.py
ir.py
layer_helper.py
layer_helper_base.py
lod_tensor.py
log_helper.py
memory_analysis.py
metrics.py
multiprocess_utils.py
net_drawer.py
nets.py
op.py
optimizer.py
parallel_executor.py
param_attr.py
profiler.py
reader.py
regularizer.py
trainer_desc.py
trainer_factory.py
unique_name.py
variable_index.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)

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源项目地址

https://github.com/paddlepaddle/paddle

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贡献者 233

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开发语言

  • C++ 47.1 %
  • Python 43.6 %
  • Cuda 7.0 %
  • CMake 1.1 %
  • Shell 0.7 %
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