org.tensorflow.op.core

Class Transpose<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for y() output

All Implemented Interfaces:

Op, Operand<T>

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

Shuffle dimensions of x according to a permutation.

The output `y` has the same rank as `x`. The shapes of `x` and `y` satisfy: `y.shape[i] == x.shape[perm[i]] for i in [0, 1, ..., rank(x) - 1]`

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T,U extends Number> Transpose<T>	create(Scope scope, Operand<T> x, Operand<U> perm) Factory method to create a class to wrap a new Transpose operation to the graph.
Output<T>	y()

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,U extends Number> Transpose<T> create(Scope scope,
                                                       Operand<T> x,
                                                       Operand<U> perm)

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

Parameters:

scope - current graph scope

x -

perm -

Returns:

a new instance of Transpose

y

public Output<T> y()

asOutput

public Output<T> 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<T>

See Also:

OperationBuilder.addInput(Output)