Uses of Record Class
io.github.kirstenali.deepj.nn.RecurrentState

Packages that use RecurrentState

Package	Description
io.github.kirstenali.deepj.nn	Neural networks composed from DeepJ tensors, layers, autograd and backend operations.

Uses of RecurrentState in io.github.kirstenali.deepj.nn

Methods in io.github.kirstenali.deepj.nn that return RecurrentState

Modifier and Type	Method	Description
RecurrentState	RecurrentState.detach()
final RecurrentState	RecurrentCell.initialState(int batch, DType dtype)
protected RecurrentState	GRUCell.next(Tensor input, RecurrentState state)
protected RecurrentState	LSTMCell.next(Tensor input, RecurrentState state)
protected abstract RecurrentState	RecurrentCell.next(Tensor input, RecurrentState state)
protected RecurrentState	RNNCell.next(Tensor input, RecurrentState state)
RecurrentState	RecurrentResult.state()	Returns the value of the state record component.
final RecurrentState	RecurrentCell.step(Tensor input, RecurrentState state)

Methods in io.github.kirstenali.deepj.nn with parameters of type RecurrentState

Modifier and Type	Method	Description
protected RecurrentState	GRUCell.next(Tensor input, RecurrentState state)
protected RecurrentState	LSTMCell.next(Tensor input, RecurrentState state)
protected abstract RecurrentState	RecurrentCell.next(Tensor input, RecurrentState state)
protected RecurrentState	RNNCell.next(Tensor input, RecurrentState state)
final RecurrentResult	Recurrent.run(Tensor input, RecurrentState initial, int[] lengths)
final RecurrentState	RecurrentCell.step(Tensor input, RecurrentState state)

Constructors in io.github.kirstenali.deepj.nn with parameters of type RecurrentState

Modifier	Constructor	Description
	RecurrentResult(Tensor sequence, RecurrentState state)	Creates an instance of a RecurrentResult record class.