DenseToSparseSetOperation

public final class DenseToSparseSetOperation

Applies set operation along last dimension of `Tensor` and `SparseTensor`.

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

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 `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 Classes

class

DenseToSparseSetOperation.Options

Optional attributes for DenseToSparseSetOperation

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

static <T extends TType> DenseToSparseSetOperation<T>	create(Scope scope, Operand<T> set1, Operand<TInt64> set2Indices, Operand<T> set2Values, Operand<TInt64> set2Shape, String setOperation, Options... options) Factory method to create a class wrapping a new DenseToSparseSetOperation operation.
Output<TInt64>	resultIndices() 2D indices of a `SparseTensor`.
Output<TInt64>	resultShape() 1D `Tensor` shape of a `SparseTensor`.
Output<T>	resultValues() 1D values of a `SparseTensor`.
static DenseToSparseSetOperation.Options	validateIndices(Boolean validateIndices)

Inherited Methods

From class org.tensorflow.op.RawOp

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

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "DenseToSparseSetOperation"

Public Methods

public static DenseToSparseSetOperation<T> create (Scope scope, Operand<T> set1, Operand<TInt64> set2Indices, Operand<T> set2Values, Operand<TInt64> set2Shape, String setOperation, Options... options)

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

Parameters

scope	current 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.
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 the 1st `n-1` dimensions of `set1`, `result_shape[n]` is the max set size across `n-1` dimensions.
options	carries optional attributes values

Returns

• a new instance of DenseToSparseSetOperation

public Output<TInt64> resultIndices ()

2D indices of a `SparseTensor`.

public Output<TInt64> 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.

public Output<T> resultValues ()

1D values of a `SparseTensor`.

public static DenseToSparseSetOperation.Options validateIndices (Boolean validateIndices)