Class XlaSparseDenseMatmulGradWithFtrlAndCsrInput

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput

All Implemented Interfaces:

Op

@Operator(group="xla")
public final class XlaSparseDenseMatmulGradWithFtrlAndCsrInput
extends RawOp

The XlaSparseDenseMatmulGradWithFtrlAndCsrInput operation

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs
static class	XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options	Optional attributes for XlaSparseDenseMatmulGradWithFtrlAndCsrInput

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Constructor Summary

Constructors

Constructor	Description
XlaSparseDenseMatmulGradWithFtrlAndCsrInput(Operation operation)

Method Summary

Modifier and Type	Method	Description
static XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options	clipWeightMax(Float clipWeightMax)	Sets the clipWeightMax option.
static XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options	clipWeightMin(Float clipWeightMin)	Sets the clipWeightMin option.
static XlaSparseDenseMatmulGradWithFtrlAndCsrInput	create(Scope scope, Operand<TInt32> rowPointers, Operand<TInt32> sortedSampleIds, Operand<TInt32> sortedTokenIds, Operand<TFloat32> sortedGains, Operand<TFloat32> activationGradients, Operand<TFloat32> learningRate, Operand<TFloat32> embeddingTable, Operand<TFloat32> accumulator, Operand<TFloat32> linear, Operand<TInt32> numMinibatchesPerPhysicalSparseCore, Boolean multiplyLinearByLearningRate, Float beta, Float learningRatePower, Float l1RegularizationStrength, Float l2RegularizationStrength, String tableName, XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options... options)	Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithFtrlAndCsrInput operation.
Output<TFloat32>	updatedAccumulator()	Gets updatedAccumulator.
Output<TFloat32>	updatedEmbeddingTable()	Gets updatedEmbeddingTable.
Output<TFloat32>	updatedLinear()	Gets updatedLinear.

Methods inherited from class RawOp

equals, hashCode, op, toString

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface Op

env

Field Details

OP_NAME

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

See Also:

• Constant Field Values

Constructor Details

XlaSparseDenseMatmulGradWithFtrlAndCsrInput

public XlaSparseDenseMatmulGradWithFtrlAndCsrInput(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static XlaSparseDenseMatmulGradWithFtrlAndCsrInput create(Scope scope,
 Operand<TInt32> rowPointers,
 Operand<TInt32> sortedSampleIds,
 Operand<TInt32> sortedTokenIds,
 Operand<TFloat32> sortedGains,
 Operand<TFloat32> activationGradients,
 Operand<TFloat32> learningRate,
 Operand<TFloat32> embeddingTable,
 Operand<TFloat32> accumulator,
 Operand<TFloat32> linear,
 Operand<TInt32> numMinibatchesPerPhysicalSparseCore,
 Boolean multiplyLinearByLearningRate,
 Float beta,
 Float learningRatePower,
 Float l1RegularizationStrength,
 Float l2RegularizationStrength,
 String tableName,
 XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options... options)

Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithFtrlAndCsrInput operation.

Parameters:

scope - current scope

rowPointers - The rowPointers value

sortedSampleIds - The sortedSampleIds value

sortedTokenIds - The sortedTokenIds value

sortedGains - The sortedGains value

activationGradients - The activationGradients value

learningRate - The learningRate value

embeddingTable - The embeddingTable value

accumulator - The accumulator value

linear - The linear value

numMinibatchesPerPhysicalSparseCore - The numMinibatchesPerPhysicalSparseCore value

multiplyLinearByLearningRate - The value of the multiplyLinearByLearningRate attribute

beta - The value of the beta attribute

learningRatePower - The value of the learningRatePower attribute

l1RegularizationStrength - The value of the l1RegularizationStrength attribute

l2RegularizationStrength - The value of the l2RegularizationStrength attribute

tableName - The value of the tableName attribute

options - carries optional attribute values

Returns:

a new instance of XlaSparseDenseMatmulGradWithFtrlAndCsrInput

clipWeightMin

public static XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options clipWeightMin(Float clipWeightMin)

Sets the clipWeightMin option.

Parameters:

clipWeightMin - the clipWeightMin option

Returns:

this Options instance.

clipWeightMax

public static XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options clipWeightMax(Float clipWeightMax)

Sets the clipWeightMax option.

Parameters:

clipWeightMax - the clipWeightMax option

Returns:

this Options instance.

updatedEmbeddingTable

public Output<TFloat32> updatedEmbeddingTable()

Gets updatedEmbeddingTable.

Returns:

updatedEmbeddingTable.

updatedAccumulator

public Output<TFloat32> updatedAccumulator()

Gets updatedAccumulator.

Returns:

updatedAccumulator.

updatedLinear

public Output<TFloat32> updatedLinear()

Gets updatedLinear.

Returns:

updatedLinear.