Apache Singa
A General Distributed Deep Learning Library
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This is the complete list of members for singa::FeedForwardNet, including all inherited members.
Add(std::shared_ptr< Layer > layer) | singa::FeedForwardNet | |
Add(const LayerConf &conf, const Shape *sample_shape=nullptr) | singa::FeedForwardNet | |
AsType(DataType dtype) | singa::FeedForwardNet | |
Backward(int flag, const Tensor &grad) | singa::FeedForwardNet | |
Clone(std::shared_ptr< Device > device) | singa::FeedForwardNet | |
Compile(bool shuffle, Optimizer *opt, Loss *loss, Metric *metric) | singa::FeedForwardNet | |
Compile(bool shuffle, bool to_register, std::shared_ptr< Updater > updater, Loss *loss, Metric *metric) | singa::FeedForwardNet | |
device_ (defined in singa::FeedForwardNet) | singa::FeedForwardNet | protected |
dtype_ (defined in singa::FeedForwardNet) | singa::FeedForwardNet | protected |
Evaluate(const Tensor &x, const Tensor &y, size_t batchsize=128) | singa::FeedForwardNet | |
EvaluateOnBatch(const Tensor &x, const Tensor &y) | singa::FeedForwardNet | |
FeedForwardNet()=default (defined in singa::FeedForwardNet) | singa::FeedForwardNet | |
Forward(int flag, const Tensor &x) | singa::FeedForwardNet | |
GetParamNames() const (defined in singa::FeedForwardNet) | singa::FeedForwardNet | |
GetParamSpecs() const (defined in singa::FeedForwardNet) | singa::FeedForwardNet | |
GetParamValues() const (defined in singa::FeedForwardNet) | singa::FeedForwardNet | |
layers() const (defined in singa::FeedForwardNet) | singa::FeedForwardNet | inline |
layers_ (defined in singa::FeedForwardNet) | singa::FeedForwardNet | protected |
loss_ (defined in singa::FeedForwardNet) | singa::FeedForwardNet | protected |
metric_ (defined in singa::FeedForwardNet) | singa::FeedForwardNet | protected |
Predict(const Tensor &x, size_t batchsize=128) | singa::FeedForwardNet | |
PredictOnBatch(const Tensor &x) | singa::FeedForwardNet | |
shuffle_ (defined in singa::FeedForwardNet) | singa::FeedForwardNet | protected |
ToDevice(std::shared_ptr< Device > device) | singa::FeedForwardNet | |
ToHost() (defined in singa::FeedForwardNet) | singa::FeedForwardNet | inline |
Train(size_t batchsize, int nb_epoch, const Tensor &x, const Tensor &y, float val_split=0.0f) | singa::FeedForwardNet | |
Train(size_t batchsize, int nb_epoch, const Tensor &x, const Tensor &y, const Tensor &val_x, const Tensor &val_y) | singa::FeedForwardNet | |
TrainOnBatch(int epoch, const Tensor &x, const Tensor &y) | singa::FeedForwardNet | |
TrainThread(size_t batchsize, int nb_epoch, const Tensor &x, const Tensor &y, const Tensor &val_x, const Tensor &val_y) | singa::FeedForwardNet | inline |
TrainThread(size_t batchsize, int nb_epoch, const Tensor &x, const Tensor &y) | singa::FeedForwardNet | inline |
updater_ (defined in singa::FeedForwardNet) | singa::FeedForwardNet | protected |
~FeedForwardNet() | singa::FeedForwardNet |