DeserializeSparse

public final class DeserializeSparse

Deserialize `SparseTensor` objects.

The input `serialized_sparse` must have the shape `[?, ?, ..., ?, 3]` where the last dimension stores serialized `SparseTensor` objects and the other N dimensions (N >= 0) correspond to a batch. The ranks of the original `SparseTensor` objects must all match. When the final `SparseTensor` is created, its rank is the rank of the incoming `SparseTensor` objects plus N; the sparse tensors have been concatenated along new dimensions, one for each batch.

The output `SparseTensor` object's shape values for the original dimensions are the max across the input `SparseTensor` objects' shape values for the corresponding dimensions. The new dimensions match the size of the batch.

The input `SparseTensor` objects' indices are assumed ordered in standard lexicographic order. If this is not the case, after this step run `SparseReorder` to restore index ordering.

For example, if the serialized input is a `[2 x 3]` matrix representing two original `SparseTensor` objects:

index = [ 0] [10] [20] values = [1, 2, 3] shape = [50]

and

index = [ 2] [10] values = [4, 5] shape = [30]

then the final deserialized `SparseTensor` will be:

index = [0 0] [0 10] [0 20] [1 2] [1 10] values = [1, 2, 3, 4, 5] shape = [2 50]

Constants

String

OP_NAME

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

Public Methods

static <U extends TType> DeserializeSparse<U>	create(Scope scope, Operand<? extends TType> serializedSparse, Class<U> dtype) Factory method to create a class wrapping a new DeserializeSparse operation.
Output<TInt64>	sparseIndices()
Output<TInt64>	sparseShape()
Output<U>	sparseValues()

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: "DeserializeSparse"

Public Methods

public static DeserializeSparse<U> create (Scope scope, Operand<? extends TType> serializedSparse, Class<U> dtype)

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

Parameters

scope	current scope
serializedSparse	The serialized `SparseTensor` objects. The last dimension must have 3 columns.
dtype	The `dtype` of the serialized `SparseTensor` objects.

Returns

• a new instance of DeserializeSparse

public Output<TInt64> sparseIndices ()

public Output<TInt64> sparseShape ()

public Output<U> sparseValues ()