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Add sum_cost to document 38764bf9
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AddtoLayer.cpp fix dash and space bug,
AddtoLayer.h fix dash and space bug,
AgentLayer.cpp remove some copyfrom in AgentLayer and ExpandLayer, fix warning in seq2seq config (#183)
AgentLayer.h remove some copyfrom in AgentLayer and ExpandLayer, fix warning in seq2seq config (#183)
AverageLayer.cpp add base class for seqlastin/max/average layer (#187)
AverageLayer.h add base class for seqlastin/max/average layer (#187)
BatchNormBaseLayer.cpp fix dash and space bug,
BatchNormBaseLayer.h fix dash and space bug,
BatchNormalizationLayer.cpp fix dash and space bug,
BatchNormalizationLayer.h fix dash and space bug,
BlockExpandLayer.cpp fix dash and space bug,
BlockExpandLayer.h Add commits for recurrent layer and lstm layer.
CRFDecodingLayer.cpp fix dash and space bug,
CRFDecodingLayer.h fix dash and space bug,
CRFLayer.cpp Optional fields to shrink generated proto size (#93)
CRFLayer.h Refine comment for CRF related headers. (#117)
CTCLayer.cpp use HPPL_STREAM_DEFAULT for layer computation
CTCLayer.h fix dash and space bug,
ConcatenateLayer.cpp Add job=time in trainer, refine cudnn_conv to reduce gpu memory and speed up training. (#218)
ContextProjection.cpp fix dash and space bug,
ContextProjection.h fix dash and space bug,
ConvBaseLayer.cpp abstract outputSize function in CNN-related layers (#314)
ConvBaseLayer.h abstract outputSize function in CNN-related layers (#314)
ConvOperator.cpp abstract outputSize function in CNN-related layers (#314)
ConvProjection.cpp Add job=time in trainer, refine cudnn_conv to reduce gpu memory and speed up training. (#218)
ConvProjection.h
ConvShiftLayer.cpp
ConvexCombinationLayer.cpp
CosSimLayer.cpp
CosSimLayer.h
CosSimVecMatLayer.cpp
CostLayer.cpp
CostLayer.h
CudnnBatchNormLayer.cpp
CudnnBatchNormLayer.h
CudnnConvLayer.cpp
CudnnConvLayer.h
CudnnPoolLayer.cpp
CudnnPoolLayer.h
DataLayer.cpp
DataLayer.h
DataNormLayer.cpp
DataNormLayer.h
DotMulOperator.cpp
DotMulProjection.cpp
EosIdCheckLayer.cpp
ExpandConvLayer.cpp
ExpandConvLayer.h
ExpandLayer.cpp
ExpandLayer.h
FeatureMapExpandLayer.cpp
FullMatrixProjection.cpp
FullMatrixProjection.h
FullyConnectedLayer.cpp
FullyConnectedLayer.h
GatedRecurrentLayer.cpp
GatedRecurrentLayer.h
GetOutputLayer.cpp
GruCompute.cpp
GruCompute.cu
GruCompute.h
GruStepLayer.cpp
HierarchicalSigmoidLayer.cpp
HierarchicalSigmoidLayer.h
IdentityProjection.cpp
InterpolationLayer.cpp
Layer.cpp
Layer.h
LinearChainCRF.cpp
LinearChainCRF.h
LinearChainCTC.cpp
LinearChainCTC.h
LstmCompute.cpp
LstmCompute.cu
LstmCompute.h
LstmLayer.cpp
LstmLayer.h
LstmStepLayer.cpp
MDLstmLayer.cpp
MaxIdLayer.cpp
MaxLayer.cpp
MaxLayer.h
MaxOutLayer.cpp
MaxOutLayer.h
MixedLayer.cpp
MixedLayer.h
MultinomialSampler.cpp
MultinomialSampler.h
MultiplexLayer.cpp
NCELayer.cpp
NormLayer.cpp
NormLayer.h
NormProjectionLayer.cpp
NormProjectionLayer.h
Operator.cpp
Operator.h
OuterProdLayer.cpp
ParameterReluLayer.cpp
ParameterReluLayer.h
PoolLayer.cpp

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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