Irfft2d

public final class Irfft2d

Inverse 2D real-valued fast Fourier transform.

Computes the inverse 2-dimensional discrete Fourier transform of a real-valued signal over the inner-most 2 dimensions of `input`.

The inner-most 2 dimensions of `input` are assumed to be the result of `RFFT2D`: The inner-most dimension contains the `fft_length / 2 + 1` unique components of the DFT of a real-valued signal. If `fft_length` is not provided, it is computed from the size of the inner-most 2 dimensions of `input`. If the FFT length used to compute `input` is odd, it should be provided since it cannot be inferred properly.

Along each axis `signal.Irfft2d` is computed on, if `fft_length` (or `fft_length / 2 + 1` for the inner-most dimension) is smaller than the corresponding dimension of `input`, the dimension is cropped. If it is larger, the dimension is padded with zeros.

Constants

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

Public Methods

Output<U>
asOutput()
Returns the symbolic handle of the tensor.
static Irfft2d<TFloat32>
create(Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength)
Factory method to create a class wrapping a new Irfft2d operation using default output types.
static <U extends TNumber> Irfft2d<U>
create(Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength, Class<U> Treal)
Factory method to create a class wrapping a new Irfft2d operation.
Output<U>
output()
A float32 tensor of the same rank as `input`.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<U extends TNumber>
asOutput()
Returns the symbolic handle of the tensor.
abstract U extends TNumber
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<U extends TNumber>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "IRFFT2D"

Public Methods

public Output<U> asOutput ()

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.

public static Irfft2d<TFloat32> create (Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength)

Factory method to create a class wrapping a new Irfft2d operation using default output types.

Parameters
scope current scope
input A complex tensor.
fftLength An int32 tensor of shape [2]. The FFT length for each dimension.
Returns
  • a new instance of Irfft2d

public static Irfft2d<U> create (Scope scope, Operand<? extends TType> input, Operand<TInt32> fftLength, Class<U> Treal)

Factory method to create a class wrapping a new Irfft2d operation.

Parameters
scope current scope
input A complex tensor.
fftLength An int32 tensor of shape [2]. The FFT length for each dimension.
Returns
  • a new instance of Irfft2d

public Output<U> output ()

A float32 tensor of the same rank as `input`. The inner-most 2 dimensions of `input` are replaced with the `fft_length` samples of their inverse 2D Fourier transform.