org.tensorflow.op.core

Class Unstack<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Iterable<Operand<T>>, Op

@Operator
public final class Unstack<T>
extends PrimitiveOp
implements Iterable<Operand<T>>

Unpacks a given dimension of a rank-`R` tensor into `num` rank-`(R-1)` tensors.

Unpacks `num` tensors from `value` by chipping it along the `axis` dimension. For example, given a tensor of shape `(A, B, C, D)`;

If `axis == 0` then the i'th tensor in `output` is the slice `value[i, :, :, :]` and each tensor in `output` will have shape `(B, C, D)`. (Note that the dimension unpacked along is gone, unlike `split`).

If `axis == 1` then the i'th tensor in `output` is the slice `value[:, i, :, :]` and each tensor in `output` will have shape `(A, C, D)`. Etc.

This is the opposite of `pack`.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Unstack.Options Optional attributes for Unstack

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static Unstack.Options	axis(Long axis)
static <T> Unstack<T>	create(Scope scope, Operand<T> value, Long num, Unstack.Options... options) Factory method to create a class to wrap a new Unstack operation to the graph.
Iterator<Operand<T>>	iterator()
List<Output<T>>	output() The list of tensors unpacked from `value`.

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

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Method Detail

create

public static <T> Unstack<T> create(Scope scope,
                                    Operand<T> value,
                                    Long num,
                                    Unstack.Options... options)

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

Parameters:

scope - current graph scope

value - 1-D or higher, with `axis` dimension size equal to `num`.

num -

options - carries optional attributes values

Returns:

a new instance of Unstack

axis

public static Unstack.Options axis(Long axis)

Parameters:

axis - Dimension along which to unpack. Negative values wrap around, so the valid range is `[-R, R)`.

output

public List<Output<T>> output()

The list of tensors unpacked from `value`.

iterator

public Iterator<Operand<T>> iterator()

Specified by:

iterator in interface Iterable<Operand<T>>