Class SparseToSparseSetOperation<T extends TType>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.sparse.SparseToSparseSetOperation<T>

All Implemented Interfaces:

Op

@Operator(group="sparse")
public final class SparseToSparseSetOperation<T extends TType>
extends RawOp

Applies set operation along last dimension of 2 SparseTensor inputs. See SetOperationOp::SetOperationFromContext for values of set_operation.

If validate_indices is True, sparse.SparseToSparseSetOperation validates the order and range of set1 and set2 indices.

Input set1 is a SparseTensor represented by set1_indices, set1_values, and set1_shape. For set1 ranked n, 1st n-1 dimensions must be the same as set2. Dimension n contains values in a set, duplicates are allowed but ignored.

Input set2 is a SparseTensor represented by set2_indices, set2_values, and set2_shape. For set2 ranked n, 1st n-1 dimensions must be the same as set1. Dimension n contains values in a set, duplicates are allowed but ignored.

If validate_indices is True, this op validates the order and range of set1 and set2 indices.

Output result is a SparseTensor represented by result_indices, result_values, and result_shape. For set1 and set2 ranked n, this has rank n and the same 1st n-1 dimensions as set1 and set2. The nth dimension contains the result of set_operation applied to the corresponding [0...n-1] dimension of set.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	SparseToSparseSetOperation.Inputs<T extends TType>
static class	SparseToSparseSetOperation.Options	Optional attributes for SparseToSparseSetOperation

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

Modifier and Type	Field	Description
protected final Operation	operation

Constructor Summary

Constructors

Constructor	Description
SparseToSparseSetOperation(Operation operation)

Method Summary

Modifier and Type	Method	Description
static <T extends TType> SparseToSparseSetOperation<T>	create(Scope scope, Operand<TInt64> set1Indices, Operand<T> set1Values, Operand<TInt64> set1Shape, Operand<TInt64> set2Indices, Operand<T> set2Values, Operand<TInt64> set2Shape, String setOperation, SparseToSparseSetOperation.Options... options)	Factory method to create a class wrapping a new SparseToSparseSetOperation operation.
Output<TInt64>	resultIndices()	Gets resultIndices. 2D indices of a SparseTensor.
Output<TInt64>	resultShape()	Gets resultShape. 1D Tensor shape of a SparseTensor.
Output<T>	resultValues()	Gets resultValues. 1D values of a SparseTensor.
static SparseToSparseSetOperation.Options	validateIndices(Boolean validateIndices)	Sets the validateIndices option.

Methods inherited from class RawOp

equals, hashCode, op, toString

Modifier and Type	Method	Description
final boolean	equals(Object obj)
final int	hashCode()
Operation	op()	Return this unit of computation as a single Operation.
final String	toString()

Methods inherited from class Object

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

Methods inherited from interface Op

env

Modifier and Type	Method	Description
default ExecutionEnvironment	env()	Return the execution environment this op was created in.

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

SparseToSparseSetOperation

public SparseToSparseSetOperation(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static <T extends TType>
SparseToSparseSetOperation<T> create(Scope scope,
 Operand<TInt64> set1Indices,
 Operand<T> set1Values,
 Operand<TInt64> set1Shape,
 Operand<TInt64> set2Indices,
 Operand<T> set2Values,
 Operand<TInt64> set2Shape,
 String setOperation,
 SparseToSparseSetOperation.Options... options)

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

Type Parameters:

T - data type for SparseToSparseSetOperation output and operands

Parameters:

scope - current scope

set1Indices - 2D Tensor, indices of a SparseTensor. Must be in row-major order.

set1Values - 1D Tensor, values of a SparseTensor. Must be in row-major order.

set1Shape - 1D Tensor, shape of a SparseTensor. set1_shape[0...n-1] must be the same as set2_shape[0...n-1], set1_shape[n] is the max set size across 0...n-1 dimensions.

set2Indices - 2D Tensor, indices of a SparseTensor. Must be in row-major order.

set2Values - 1D Tensor, values of a SparseTensor. Must be in row-major order.

set2Shape - 1D Tensor, shape of a SparseTensor. set2_shape[0...n-1] must be the same as set1_shape[0...n-1], set2_shape[n] is the max set size across 0...n-1 dimensions.

setOperation - The value of the setOperation attribute

options - carries optional attribute values

Returns:

a new instance of SparseToSparseSetOperation

validateIndices

public static SparseToSparseSetOperation.Options validateIndices(Boolean validateIndices)

Sets the validateIndices option.

Parameters:

validateIndices - the validateIndices option

Returns:

this Options instance.

resultIndices

public Output<TInt64> resultIndices()

Gets resultIndices. 2D indices of a SparseTensor.

Returns:

resultIndices.

resultValues

public Output<T> resultValues()

Gets resultValues. 1D values of a SparseTensor.

Returns:

resultValues.

resultShape

public Output<TInt64> resultShape()

Gets resultShape. 1D Tensor shape of a SparseTensor. result_shape[0...n-1] is the same as the 1st n-1 dimensions of set1 and set2, result_shape[n] is the max result set size across all 0...n-1 dimensions.

Returns:

resultShape.