Package org.tensorflow.op.sparse

Class DenseToDenseSetOperation<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for resultValues() output

All Implemented Interfaces:

Op

@Operator(group="sparse")
public final class DenseToDenseSetOperation<T>
extends PrimitiveOp

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

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

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	DenseToDenseSetOperation.Options	Optional attributes for DenseToDenseSetOperation

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method	Description
static <T> DenseToDenseSetOperation<T>	create(Scope scope, Operand<T> set1, Operand<T> set2, java.lang.String setOperation, DenseToDenseSetOperation.Options... options)	Factory method to create a class to wrap a new DenseToDenseSetOperation operation to the graph.
Output<java.lang.Long>	resultIndices()	2D indices of a `SparseTensor`.
Output<java.lang.Long>	resultShape()	1D `Tensor` shape of a `SparseTensor`.
Output<T>	resultValues()	1D values of a `SparseTensor`.
static DenseToDenseSetOperation.Options	validateIndices(java.lang.Boolean validateIndices)

Methods inherited from class java.lang.Object

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

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Method Detail

create

public static <T> DenseToDenseSetOperation<T> create(Scope scope,
                                                     Operand<T> set1,
                                                     Operand<T> set2,
                                                     java.lang.String setOperation,
                                                     DenseToDenseSetOperation.Options... options)

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

Parameters:

scope - current graph scope

set1 - `Tensor` with rank `n`. 1st `n-1` dimensions must be the same as `set2`. Dimension `n` contains values in a set, duplicates are allowed but ignored.

set2 - `Tensor` with rank `n`. 1st `n-1` dimensions must be the same as `set1`. Dimension `n` contains values in a set, duplicates are allowed but ignored.

setOperation -

options - carries optional attributes values

Returns:

a new instance of DenseToDenseSetOperation

validateIndices

public static DenseToDenseSetOperation.Options validateIndices(java.lang.Boolean validateIndices)

Parameters:

validateIndices -

resultIndices

public Output<java.lang.Long> resultIndices()

2D indices of a `SparseTensor`.

resultValues

public Output<T> resultValues()

1D values of a `SparseTensor`.

resultShape

public Output<java.lang.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.