Warning: This project is deprecated. Swift for TensorFlow was an experiment in the next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond. It was archived in February 2021.

State

public struct State : Equatable, Differentiable, VectorProtocol, KeyPathIterable, Mergeable

cell
Declaration
public var cell: Tensor<Scalar>
hidden
Declaration
public var hidden: Tensor<Scalar>


                    
                    
                    init(cell:hidden:)

Declaration

@differentiable
public init(cell: Tensor<Scalar>, hidden: Tensor<Scalar>)


                    
                    
                    concatenate(_:_:)

Concatenates two values.

Declaration

@differentiable
public static func concatenate(_ lhs: `Self`, _ rhs: `Self`) -> LSTMCell<Scalar>.State


                    
                    
                    sum(_:_:)

Adds two values and produces their sum.

Declaration

@differentiable
public static func sum(_ lhs: `Self`, _ rhs: `Self`) -> LSTMCell<Scalar>.State


                    
                    
                    average(_:_:)

Averages two values.

Declaration

@differentiable
public static func average(_ lhs: `Self`, _ rhs: `Self`) -> LSTMCell<Scalar>.State


                    
                    
                    multiply(_:_:)

Multiplies two values.

Declaration

@differentiable
public static func multiply(_ lhs: `Self`, _ rhs: `Self`) -> LSTMCell<Scalar>.State


                    
                    
                    stack(_:_:)

Stack two values.

Declaration

@differentiable
public static func stack(_ lhs: `Self`, _ rhs: `Self`) -> LSTMCell<Scalar>.State