org.tensorflow.op.sparse

Class SparseSlice<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for outputValues() output

All Implemented Interfaces:

Op

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

Slice a `SparseTensor` based on the `start` and `size`.

For example, if the input is

input_tensor = shape = [2, 7] [ a d e ] [b c ]

Graphically the output tensors are:

sparse_slice([0, 0], [2, 4]) = shape = [2, 4] [ a ] [b c ]

sparse_slice([0, 4], [2, 3]) = shape = [2, 3] [ d e ] [ ]

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <T> SparseSlice<T>	create(Scope scope, Operand<Long> indices, Operand<T> values, Operand<Long> shape, Operand<Long> start, Operand<Long> size) Factory method to create a class wrapping a new SparseSlice operation.
Output<Long>	outputIndices()
Output<Long>	outputShape() A list of 1-D tensors represents the shape of the output sparse tensors.
Output<T>	outputValues() A list of 1-D tensors represents the values of the output sparse tensors.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <T> SparseSlice<T> create(Scope scope,
                                        Operand<Long> indices,
                                        Operand<T> values,
                                        Operand<Long> shape,
                                        Operand<Long> start,
                                        Operand<Long> size)

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

Parameters:

scope - current scope

indices - 2-D tensor represents the indices of the sparse tensor.

values - 1-D tensor represents the values of the sparse tensor.

shape - 1-D. tensor represents the shape of the sparse tensor.

start - 1-D. tensor represents the start of the slice.

size - 1-D. tensor represents the size of the slice. output indices: A list of 1-D tensors represents the indices of the output sparse tensors.

Returns:

a new instance of SparseSlice

outputIndices

public Output<Long> outputIndices()

outputValues

public Output<T> outputValues()

A list of 1-D tensors represents the values of the output sparse tensors.

outputShape

public Output<Long> outputShape()

A list of 1-D tensors represents the shape of the output sparse tensors.