org.tensorflow.op.core

Class SparseConcat<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.SparseConcat<T>

Type Parameters:

T - data type for outputValues() output

All Implemented Interfaces:

Op

@Operator
public final class SparseConcat<T>
extends PrimitiveOp

Concatenates a list of `SparseTensor` along the specified dimension.

Concatenation is with respect to the dense versions of these sparse tensors. It is assumed that each input is a `SparseTensor` whose elements are ordered along increasing dimension number.

All inputs' shapes must match, except for the concat dimension. The `indices`, `values`, and `shapes` lists must have the same length.

The output shape is identical to the inputs', except along the concat dimension, where it is the sum of the inputs' sizes along that dimension.

The output elements will be resorted to preserve the sort order along increasing dimension number.

This op runs in `O(M log M)` time, where `M` is the total number of non-empty values across all inputs. This is due to the need for an internal sort in order to concatenate efficiently across an arbitrary dimension.

For example, if `concat_dim = 1` and the inputs are

sp_inputs[0]: shape = [2, 3] [0, 2]: "a" [1, 0]: "b" [1, 1]: "c"

sp_inputs[1]: shape = [2, 4] [0, 1]: "d" [0, 2]: "e"

then the output will be

shape = [2, 7] [0, 2]: "a" [0, 4]: "d" [0, 5]: "e" [1, 0]: "b" [1, 1]: "c"

Graphically this is equivalent to doing

[ a] concat [ d e ] = [ a d e ] [b c ] [ ] [b c ]

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <T> SparseConcat<T>	create(Scope scope, Iterable<Operand<Long>> indices, Operand<T> values, Iterable<Operand<Long>> shapes, Long concatDim) Factory method to create a class to wrap a new SparseConcat operation to the graph.
Output<Long>	outputIndices() 2-D.
Output<Long>	outputShape() 1-D.
Output<T>	outputValues() 1-D.

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 <T> SparseConcat<T> create(Scope scope,
                                         Iterable<Operand<Long>> indices,
                                         Operand<T> values,
                                         Iterable<Operand<Long>> shapes,
                                         Long concatDim)

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

Parameters:

scope - current graph scope

indices - 2-D. Indices of each input `SparseTensor`.

values - 1-D. Non-empty values of each `SparseTensor`.

shapes - 1-D. Shapes of each `SparseTensor`.

concatDim - Dimension to concatenate along. Must be in range [-rank, rank), where rank is the number of dimensions in each input `SparseTensor`.

Returns:

a new instance of SparseConcat

outputIndices

public Output<Long> outputIndices()

2-D. Indices of the concatenated `SparseTensor`.

outputValues

public Output<T> outputValues()

1-D. Non-empty values of the concatenated `SparseTensor`.

outputShape

public Output<Long> outputShape()

1-D. Shape of the concatenated `SparseTensor`.