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public class | source

CausalNetMemory

You can directly use an instance of this class. causalNetMemory

Extends:

Tensor → CausalNetMemory

This class is under experimented

Constructor Summary

Public Constructor
public	constructor()

Member Summary

Public Members
public set	Memory
public get	Memory: *
public get	MemorySize: *
public set	MemorySize
public get	NumSlots: *
public	R: *
public get	SlotSize: *
public	memory: *
public	memorySize: *

Method Summary

Public Methods
public	async getMatchScore(slotIdxs: ):
public	async getTopKSimilar(slotIdxs: , k: ): *
public	async initMemory(size: , initTensor: undefined):
public	async normalize(): *
public	async readSlots(slotIndexs: ):
public	async writeSlots(slotIdxs: , memoryTensor: ): *

Inherited Summary

From class Tensor
public get	CoreTensor: * This method return the core tensor instance
public	T: *
public	isTensor(object: Object ): Boolean Check if object is tensor

Public Constructors

public constructor() source

Override:

Tensor#constructor

Public Members

public set Memory source

public get Memory: * source

public get MemorySize: * source

public set MemorySize source

public get NumSlots: * source

public R: * source

public get SlotSize: * source

public memory: * source

public memorySize: * source

Public Methods

public async getMatchScore(slotIdxs: ): source

Params:

Name	Type	Attribute	Description
slotIdxs	*

Return:

*

public async getTopKSimilar(slotIdxs: , k: ): * source

Params:

Name	Type	Attribute	Description
slotIdxs	*
k	*

Return:

*

public async initMemory(size: , initTensor: undefined): source

Params:

Name	Type	Attribute	Description
size	*
initTensor	undefined	optional default: undefined

Return:

*

public async normalize(): * source

Return:

*

public async readSlots(slotIndexs: ): source

Params:

Name	Type	Attribute	Description
slotIndexs	*

Return:

*

public async writeSlots(slotIdxs: , memoryTensor: ): * source

Params:

Name	Type	Attribute	Description
slotIdxs	*
memoryTensor	*

Return:

*