Class XlaSparseDenseMatmulCustomCombinerOnTcGradWithFtrlAndCsrInput.Inputs
java.lang.Object
org.tensorflow.op.RawOpInputs<XlaSparseDenseMatmulCustomCombinerOnTcGradWithFtrlAndCsrInput>
org.tensorflow.op.xla.XlaSparseDenseMatmulCustomCombinerOnTcGradWithFtrlAndCsrInput.Inputs
- Enclosing class:
XlaSparseDenseMatmulCustomCombinerOnTcGradWithFtrlAndCsrInput
public static class XlaSparseDenseMatmulCustomCombinerOnTcGradWithFtrlAndCsrInput.Inputs
extends RawOpInputs<XlaSparseDenseMatmulCustomCombinerOnTcGradWithFtrlAndCsrInput>
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Field Summary
FieldsModifier and TypeFieldDescriptionThe accumulator inputThe activationGradients inputfinal floatThe beta attributefinal floatThe clipWeightMax attributefinal floatThe clipWeightMin attributeThe combinerWeightsLearningRate inputThe embeddingTable inputfinal floatThe l1RegularizationStrength attributefinal floatThe l2RegularizationStrength attributeThe learningRate inputfinal floatThe learningRatePower attributeThe linear inputfinal longThe maxValency attributefinal booleanThe multiplyLinearByLearningRate attributefinal longThe numSparsecoresPerDevice attributefinal longThe numWeights attributeThe preservedValencies inputThe preservedVectors inputThe preservedWeights inputThe rowPointers inputThe sortedGains inputThe sortedPosIds inputThe sortedSampleIds inputThe sortedTokenIds inputfinal StringThe tableName attributeThe weights input -
Constructor Summary
Constructors -
Method Summary
Methods inherited from class RawOpInputs
attributeMetadata, attributeNames, attributes, attributeValue, attributeValues, equals, getOutputs, hashCode, toStringModifier and TypeMethodDescriptionattributeMetadata(String name) Get the metadata for an attributeGet the names of this op's attributesGet an inspector for the operation's attributes.attributeValue(String name) Get the value of an attribute as anAttrValueproto.Get all attribute value protosfinal booleanThe outputs of this operation.final inthashCode()final StringtoString()
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Field Details
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rowPointers
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sortedSampleIds
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sortedTokenIds
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sortedPosIds
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sortedGains
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weights
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preservedValencies
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preservedVectors
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preservedWeights
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activationGradients
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learningRate
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combinerWeightsLearningRate
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embeddingTable
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accumulator
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linear
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multiplyLinearByLearningRate
public final boolean multiplyLinearByLearningRateThe multiplyLinearByLearningRate attribute -
beta
public final float betaThe beta attribute -
learningRatePower
public final float learningRatePowerThe learningRatePower attribute -
l1RegularizationStrength
public final float l1RegularizationStrengthThe l1RegularizationStrength attribute -
l2RegularizationStrength
public final float l2RegularizationStrengthThe l2RegularizationStrength attribute -
clipWeightMin
public final float clipWeightMinThe clipWeightMin attribute -
clipWeightMax
public final float clipWeightMaxThe clipWeightMax attribute -
maxValency
public final long maxValencyThe maxValency attribute -
numWeights
public final long numWeightsThe numWeights attribute -
tableName
The tableName attribute -
numSparsecoresPerDevice
public final long numSparsecoresPerDeviceThe numSparsecoresPerDevice attribute
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Constructor Details
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Inputs
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