org.tensorflow.op.core

Class MatrixDiagPart<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for diagonal() output

All Implemented Interfaces:

Op, Operand<T>

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

Returns the batched diagonal part of a batched tensor.

This operation returns a tensor with the `diagonal` part of the batched `input`. The `diagonal` part is computed as follows:

Assume `input` has `k` dimensions `[I, J, K, ..., M, N]`, then the output is a tensor of rank `k - 1` with dimensions `[I, J, K, ..., min(M, N)]` where:

`diagonal[i, j, k, ..., n] = input[i, j, k, ..., n, n]`.

The input must be at least a matrix.

For example:

 # 'input' is [[[1, 0, 0, 0]
                [0, 2, 0, 0]
                [0, 0, 3, 0]
                [0, 0, 0, 4]],
               [[5, 0, 0, 0]
                [0, 6, 0, 0]
                [0, 0, 7, 0]
                [0, 0, 0, 8]]]
 
 and input.shape = (2, 4, 4)
 
 tf.matrix_diag_part(input) ==> [[1, 2, 3, 4], [5, 6, 7, 8]]
 
 which has shape (2, 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> MatrixDiagPart<T>	create(Scope scope, Operand<T> input) Factory method to create a class to wrap a new MatrixDiagPart operation to the graph.
Output<T>	diagonal() The extracted diagonal(s) having shape `diagonal.shape = input.shape[:-2] + [min(input.shape[-2:])]`.

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> MatrixDiagPart<T> create(Scope scope,
                                           Operand<T> input)

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

Parameters:

scope - current graph scope

input - Rank `k` tensor where `k >= 2`.

Returns:

a new instance of MatrixDiagPart

diagonal

public Output<T> diagonal()

The extracted diagonal(s) having shape `diagonal.shape = input.shape[:-2] + [min(input.shape[-2:])]`.

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)