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Feature/backward return map (#4806) ec783d6b
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details Add grad_name_map to record correspondences between vars and grad_vars (#4794)
images rewrite the document
.clang-format Use Google Style in new directories
CMakeLists.txt create grad_var when run Backward pass (#4796)
attribute.cc Merge branch 'develop' of github.com:baidu/Paddle into feature/pybind_for_protobuf_desc
attribute.h Use `type_defs.h` to resolve cyclic dependencies
backward.cc Feature/backward return map (#4806)
backward.h Feature/backward return map (#4806)
backward.md Correcting some grammatical mistakes in the design docs (#4378)
backward_test.cc create grad_var when run Backward pass (#4796)
block_desc.cc Debug string for Python ProtoBuf (#4800)
block_desc.h Feature/backward return map (#4806)
data_type.h Removed unreached code
ddim.cc move stride function to ddim.h
ddim.h move stride function to ddim.h
ddim_test.cc make dim int to int64_t
dim.h make dim int to int64_t
dim_test.cu fix dim_test.cu bug
eigen.h Follow comments
eigen_test.cc Follow comments
executor.cc fix Compile error [fatal error: boost/range/adaptor/reversed.hpp No such file or directory]
executor.h remove prune as member function to function
executor_test.cc create grad_var when run Backward pass (#4796)
framework.proto Update VarDesc from design doc (#4769)
grad_op_desc_maker.h Add grad_name_map to record correspondences between vars and grad_vars (#4794)
lod_tensor.cc
lod_tensor.h
lod_tensor.md
lod_tensor_test.cc
lod_tensor_test.cu
op_desc.cc
op_desc.h
op_info.cc
op_info.h
op_proto_maker.cc
op_proto_maker.h
op_proto_maker_test.cc
op_registry.cc
op_registry.h
op_registry_test.cc
operator.cc
operator.h
operator_test.cc
program_desc.cc
program_desc.h
scope.cc
scope.h
scope_test.cc
selected_rows.cc
selected_rows.h
selected_rows_test.cc
shape_inference.h
tensor.cc
tensor.h
tensor.md
tensor_array.cc
tensor_array.h
tensor_array_test.cc
tensor_impl.h
tensor_test.cc
type_defs.h
var_desc.cc
var_desc.h
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:

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https://github.com/paddlepaddle/paddle

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开发语言

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