Class LSTM

Represents an LSTM recurrent layer. This generates an output tensor by computing a one-layer LSTM (long short-term memory) on an input tensor.

Inheritance

object

Layer

LSTM

Inherited Members

Layer.inputs

Layer.name

Layer.outputs

Layer.flags

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Namespace: Unity.Sentis.Layers

Assembly: solution.dll

Syntax

[Serializable]
public class LSTM : Layer

Constructors

Name	Description
LSTM(string, string[], string[], int, RnnDirection, RnnActivation[], float[], float[], float, bool, RnnLayout)	Initializes and returns an instance of a Long Short-Term Memory Network (LSTM) recurrent layer.

Fields

Name	Description
activationAlpha	The alpha values of the activation functions of the LSTM.
activationBeta	The beta values of the activation functions of the LSTM.
activations	The activation functions of the LSTM as an array of RnnActivation.
clip	The cell clip threshold of the LSTM.
direction	The direction of the LSTM as an RnnDirection.
hiddenSize	The number of neurons in the hidden layer of the LSTM.
inputForget	Whether to forget the input values in the LSTM. If this is false the input and forget gates are coupled.
layout	The layout of the tensors as an RnnLayout.

Properties

Name	Description
NumDirections	The number of directions of the LSTM inferred from the direction.

Methods

Name	Description
Execute(Tensor[], ExecutionContext)	Executes the layer using the operations and variables from the ExecutionContext and returns the output tensor. If the layer has more than one output, output tensors are saved to variables.
ToString()	Returns a string that represents the Layer.