Class Fft<T extends TType>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.signal.Fft<T>

All Implemented Interfaces:

Shaped, Op, Operand<T>

@Operator(group="signal")
public final class Fft<T extends TType>
extends RawOp
implements Operand<T>

Fast Fourier transform. Computes the 1-dimensional discrete Fourier transform over the inner-most dimension of input.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	Fft.Inputs<T extends TType>

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Modifier and Type	Field	Description
protected final Operation	operation

Constructor Summary

Constructors

Constructor	Description
Fft(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<T>	asOutput()	Returns the symbolic handle of the tensor.
static <T extends TType> Fft<T>	create(Scope scope, Operand<T> input)	Factory method to create a class wrapping a new FFT operation.
Output<T>	output()	Gets output.

Methods inherited from class RawOp

equals, hashCode, op, toString

Modifier and Type	Method	Description
final boolean	equals(Object obj)
final int	hashCode()
Operation	op()	Return this unit of computation as a single Operation.
final String	toString()

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface Op

env

Modifier and Type	Method	Description
default ExecutionEnvironment	env()	Return the execution environment this op was created in.

Methods inherited from interface Operand

asTensor, shape, type

Modifier and Type	Method	Description
default T	asTensor()	Returns the tensor at this operand.
default Shape	shape()	Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
default Class<T>	type()	Returns the tensor type of this operand

Methods inherited from interface Shaped

rank, size

Modifier and Type	Method	Description
default int	rank()
default long	size()	Computes and returns the total size of this container, in number of values.

Field Details

OP_NAME

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

See Also:

• Constant Field Values

Constructor Details

Fft

public Fft(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static <T extends TType> Fft<T> create(Scope scope,
 Operand<T> input)

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

Type Parameters:

T - data type for FFT output and operands

Parameters:

scope - current scope

input - A complex tensor.

Returns:

a new instance of Fft

output

public Output<T> output()

Gets output. A complex tensor of the same shape as input. The inner-most dimension of input is replaced with its 1D Fourier transform.

@compatibility(numpy)
Equivalent to np.fft.fft
@end_compatibility

Returns:

output.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of the 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 extends TType>

See Also:

• OperationBuilder.addInput(Output)