org.tensorflow.op.linalg

Class TensorDiag<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.linalg.TensorDiag<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator(group="linalg")
public final class TensorDiag<T>
extends PrimitiveOp
implements Operand<T>

Returns a diagonal tensor with a given diagonal values.

Given a `diagonal`, this operation returns a tensor with the `diagonal` and everything else padded with zeros. The diagonal is computed as follows:

Assume `diagonal` has dimensions [D1,..., Dk], then the output is a tensor of rank 2k with dimensions [D1,..., Dk, D1,..., Dk] where:

`output[i1,..., ik, i1,..., ik] = diagonal[i1, ..., ik]` and 0 everywhere else.

For example:

 # 'diagonal' is [1, 2, 3, 4]
 tf.diag(diagonal) ==> [[1, 0, 0, 0]
                        [0, 2, 0, 0]
                        [0, 0, 3, 0]
                        [0, 0, 0, 4]]
 

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> TensorDiag<T>	create(Scope scope, Operand<T> diagonal) Factory method to create a class wrapping a new TensorDiag operation.
Output<T>	output()

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> TensorDiag<T> create(Scope scope,
                                       Operand<T> diagonal)

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

Parameters:

scope - current scope

diagonal - Rank k tensor where k is at most 1.

Returns:

a new instance of TensorDiag

output

public Output<T> output()

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)