Here is a list of all documented class members with links to the class documentation for each member:
- s -
- SampleGaussian()
: mshadow::Random< cpu >
- SampleUniform()
: mshadow::Random< cpu >
- Save()
: mshadow::sv::divto
, mshadow::sv::minusto
, mshadow::sv::multo
, mshadow::sv::plusto
, mshadow::sv::saveto
- SaveBinary()
: mshadow::TensorContainer< Device, dimension >
- scalar_
: mshadow::expr::ScalarExp
- ScalarExp()
: mshadow::expr::ScalarExp
- scale_
: mshadow::expr::DotExp< TA, TB, ltrans, rtrans >
, mshadow::expr::ReduceTo1DExp< EType, Reducer, dimkeep >
- Seed()
: mshadow::Random< cpu >
- SeekToFirst()
: singa::DataShard
- self()
: mshadow::expr::Exp< SubType, exp_type >
- Send()
: singa::Dealer
, singa::Router
, singa::Socket
- set_pad()
: mshadow::TensorContainer< Device, dimension >
- set_partitionid()
: singa::Layer
- set_src()
: singa::BaseMsg
, singa::Msg
- Setup()
: singa::BridgeDstLayer
, singa::BridgeSrcLayer
, singa::ConcateLayer
, singa::ConvolutionLayer
, singa::DataLayer
, singa::DropoutLayer
, singa::InnerProductLayer
, singa::LabelLayer
, singa::Layer
, singa::LMDBDataLayer
, singa::LossLayer
, singa::LRNLayer
, singa::MnistImageLayer
, singa::Param
, singa::ParserLayer
, singa::PoolingLayer
, singa::PrefetchLayer
, singa::ReLULayer
, singa::RGBImageLayer
, singa::ShardDataLayer
, singa::SliceLayer
, singa::SoftmaxLossLayer
, singa::SplitLayer
, singa::TanhLayer
- SetupAfterPartition()
: singa::BridgeDstLayer
, singa::BridgeSrcLayer
, singa::ConcateLayer
, singa::ConvolutionLayer
, singa::DataLayer
, singa::DropoutLayer
, singa::InnerProductLayer
, singa::Layer
, singa::LossLayer
, singa::LRNLayer
, singa::ParserLayer
, singa::PoolingLayer
, singa::PrefetchLayer
, singa::ReLULayer
, singa::SliceLayer
, singa::SoftmaxLossLayer
, singa::SplitLayer
, singa::TanhLayer
- SetupNeuralNet()
: singa::NeuralNet
- Shape()
: mshadow::Shape< dimension >
- shape
: mshadow::Tensor< Device, dimension >
- shape_
: mshadow::expr::MakeTensorExp< SubType, SrcExp, dim >
, mshadow::Shape< dimension >
- Sharding()
: singa::Trainer
- ShareData()
: Blob< Dtype >
- ShareParams()
: singa::NeuralNet
- Size()
: mshadow::Shape< dimension >
- size()
: singa::Param
- Slice()
: mshadow::Tensor< Device, dimension >
- src_
: mshadow::expr::Broadcast1DExp< Device, dimdst, dimcast >
, mshadow::expr::ChannelPoolingExp< Reducer, SrcExp, srcdim >
, mshadow::expr::CroppingExp< SrcExp, srcdim >
, mshadow::expr::MirroringExp< SrcExp, srcdim >
, mshadow::expr::PaddingExp< SrcExp, srcdim >
, mshadow::expr::PoolingExp< Reducer, SrcExp, srcdim >
, mshadow::expr::ReduceTo1DExp< EType, Reducer, dimkeep >
, mshadow::expr::ReshapeExp< SrcExp, dimdst, dimsrc >
, mshadow::expr::SwapAxisExp< SrcExp, dimsrc, a1, a2 >
, mshadow::expr::UnaryMapExp< OP, TA, etype >
- src_height_
: mshadow::expr::CroppingExp< SrcExp, srcdim >
, mshadow::expr::PaddingExp< SrcExp, srcdim >
, mshadow::expr::PoolingExp< Reducer, SrcExp, srcdim >
- src_width_
: mshadow::expr::PaddingExp< SrcExp, srcdim >
, mshadow::expr::PoolingExp< Reducer, SrcExp, srcdim >
- srclayers()
: singa::Layer
- Start()
: singa::Trainer
- StopNow()
: singa::Worker
- Store()
: mshadow::sse2::FVec< double >
, mshadow::sse2::FVec< float >
- stride_
: mshadow::Shape< dimension >
- SubShape()
: mshadow::Shape< dimension >
- Sum()
: mshadow::sse2::FVec< double >
, mshadow::sse2::FVec< float >
- SwapAxisExp()
: mshadow::expr::SwapAxisExp< SrcExp, dimsrc, a1, a2 >
- sWatchSGroup()
: singa::ClusterRuntime
, singa::ZKClusterRT
- SyncNow()
: singa::Server