org.tensorflow.op.core

Class SerializeManySparse<U>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.SerializeManySparse<U>

Type Parameters:

U - data type for serializedSparse() output

All Implemented Interfaces:

Op, Operand<U>

@Operator
public final class SerializeManySparse<U>
extends PrimitiveOp
implements Operand<U>

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]`.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<U>	asOutput() Returns the symbolic handle of a tensor.
static <T> SerializeManySparse<String>	create(Scope scope, Operand<Long> sparseIndices, Operand<T> sparseValues, Operand<Long> sparseShape) Factory method to create a class to wrap a new SerializeManySparse operation to the graph, using default output types.
static <U,T> SerializeManySparse<U>	create(Scope scope, Operand<Long> sparseIndices, Operand<T> sparseValues, Operand<Long> sparseShape, Class<U> outType) Factory method to create a class to wrap a new SerializeManySparse operation to the graph.
Output<U>	serializedSparse()

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 <U,T> SerializeManySparse<U> create(Scope scope,
                                                  Operand<Long> sparseIndices,
                                                  Operand<T> sparseValues,
                                                  Operand<Long> sparseShape,
                                                  Class<U> outType)

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

Parameters:

scope - current graph 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

create

public static <T> SerializeManySparse<String> create(Scope scope,
                                                     Operand<Long> sparseIndices,
                                                     Operand<T> sparseValues,
                                                     Operand<Long> sparseShape)

Factory method to create a class to wrap a new SerializeManySparse operation to the graph, using default output types.

Parameters:

scope - current graph 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

serializedSparse

public Output<U> serializedSparse()

asOutput

public Output<U> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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.

Specified by:

asOutput in interface Operand<U>

See Also:

OperationBuilder.addInput(Output)