Class SparseReduceSum.Inputs<T extends TType>

java.lang.Object

org.tensorflow.op.RawOpInputs<SparseReduceSum<T>>

org.tensorflow.op.sparse.SparseReduceSum.Inputs<T>

Enclosing class:

SparseReduceSum<T extends TType>

public static class SparseReduceSum.Inputs<T extends TType>
extends RawOpInputs<SparseReduceSum<T>>

Field Summary

Fields

Modifier and Type	Field	Description
final Operand<TInt64>	inputIndices	2-D.
final Operand<TInt64>	inputShape	1-D.
final Operand<T>	inputValues	1-D.
final boolean	keepDims	If true, retain reduced dimensions with length 1.
final Operand<TInt32>	reductionAxes	1-D.
final DataType	T	The T attribute

Constructor Summary

Constructors

Constructor	Description
Inputs(GraphOperation op)

Method Summary

Methods inherited from class RawOpInputs

attributeMetadata, attributeNames, attributes, attributeValue, attributeValues, equals, getOutputs, hashCode, toString

Methods inherited from class Object

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

Field Details

inputIndices

public final Operand<TInt64> inputIndices

2-D. N x R matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering.

inputValues

public final Operand<T extends TType> inputValues

1-D. N non-empty values corresponding to input_indices.

inputShape

public final Operand<TInt64> inputShape

1-D. Shape of the input SparseTensor.

reductionAxes

public final Operand<TInt32> reductionAxes

1-D. Length-K vector containing the reduction axes.

keepDims

public final boolean keepDims

If true, retain reduced dimensions with length 1.

T

public final DataType T

The T attribute

Constructor Details

Inputs

public Inputs(GraphOperation op)