org.tensorflow.op.core

Class SparseToSparseSetOperation<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for resultValues() output

All Implemented Interfaces:

Op

@Operator
public final class SparseToSparseSetOperation<T>
extends PrimitiveOp

Applies set operation along last dimension of 2 `SparseTensor` inputs.

See SetOperationOp::SetOperationFromContext for values of `set_operation`.

If `validate_indices` is `True`, `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 and Description
static class	SparseToSparseSetOperation.Options Optional attributes for SparseToSparseSetOperation

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

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

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <T> SparseToSparseSetOperation<T> create(Scope scope,
                                                       Operand<Long> set1Indices,
                                                       Operand<T> set1Values,
                                                       Operand<Long> set1Shape,
                                                       Operand<Long> set2Indices,
                                                       Operand<T> set2Values,
                                                       Operand<Long> set2Shape,
                                                       String setOperation,
                                                       SparseToSparseSetOperation.Options... options)

Factory method to create a class to wrap a new SparseToSparseSetOperation operation to the graph.

Parameters:

scope - current graph 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 -

options - carries optional attributes values

Returns:

a new instance of SparseToSparseSetOperation

validateIndices

public static SparseToSparseSetOperation.Options validateIndices(Boolean validateIndices)

Parameters:

validateIndices -

resultIndices

public Output<Long> resultIndices()

2D indices of a `SparseTensor`.

resultValues

public Output<T> resultValues()

1D values of a `SparseTensor`.

resultShape

public Output<Long> 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.