SerializeManySparse

public final class SerializeManySparse

Serialize an `N`-minibatch `SparseTensor` into an `[N, 3]` `Tensor` object.

The `SparseTensor` must have rank `R` greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the `SparseTensor` must be sorted in increasing order of this first dimension. The serialized `SparseTensor` objects going into each row of `serialized_sparse` will have rank `R-1`.

The minibatch size `N` is extracted from `sparse_shape[0]`.

Constants

String

OP_NAME

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

Public Methods

Output<U>	asOutput() Returns the symbolic handle of the tensor.
static <U extends TType> SerializeManySparse<U>	create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType) Factory method to create a class wrapping a new SerializeManySparse operation.
static SerializeManySparse<TString>	create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape) Factory method to create a class wrapping a new SerializeManySparse operation using default output types.
Output<U>	serializedSparse()

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.

From interface org.tensorflow.Operand

abstract Output<U extends TType>	asOutput() Returns the symbolic handle of the tensor.
abstract U extends TType	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<U extends TType>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "SerializeManySparse"

Public Methods

public Output<U> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static SerializeManySparse<U> create (Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType)

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

Parameters

scope	current scope
sparseIndices	2-D. The `indices` of the minibatch `SparseTensor`.
sparseValues	1-D. The `values` of the minibatch `SparseTensor`.
sparseShape	1-D. The `shape` of the minibatch `SparseTensor`.
outType	The `dtype` to use for serialization; the supported types are `string` (default) and `variant`.

Returns

• a new instance of SerializeManySparse

public static SerializeManySparse<TString> create (Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape)

Factory method to create a class wrapping a new SerializeManySparse operation using default output types.

Parameters

scope	current scope
sparseIndices	2-D. The `indices` of the minibatch `SparseTensor`.
sparseValues	1-D. The `values` of the minibatch `SparseTensor`.
sparseShape	1-D. The `shape` of the minibatch `SparseTensor`.

Returns

• a new instance of SerializeManySparse

public Output<U> serializedSparse ()