ND inverse real fast Fourier transform.
Computes the n-dimensional inverse real discrete Fourier transform over designated dimensions of `input`. The designated dimensions of `input` are assumed to be the result of `IRFFTND`. The inner-most dimension contains the `fft_length / 2 + 1` unique components of the DFT of a real-valued signal.
 If fft_length[i] 
 Axes mean the dimensions to perform the transform on. Default is to perform on
 all axes.
Public Methods
| Output<U> | 
asOutput()
                
                   Returns the symbolic handle of a tensor. | 
| static <U extends Number, T> IRFFTND<U> | |
| static <T> IRFFTND<Float> | |
| Output<U> | 
output()
                
                   A complex tensor of the same shape as `input`. | 
Inherited Methods
Public Methods
public Output<U> asOutput ()
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.
public static IRFFTND<U> create (Scope scope, Operand<T> input, Operand<Integer> fftLength, Operand<Integer> axes, Class<U> Treal)
Factory method to create a class wrapping a new IRFFTND operation.
Parameters
| scope | current scope | 
|---|---|
| input | A complex tensor. | 
| fftLength | An int32 tensor. The FFT length for each dimension. | 
| axes | An int32 tensor with a same shape as fft_length. Axes to perform the transform. | 
Returns
- a new instance of IRFFTND
public static IRFFTND<Float> create (Scope scope, Operand<T> input, Operand<Integer> fftLength, Operand<Integer> axes)
Factory method to create a class wrapping a new IRFFTND operation using default output types.
Parameters
| scope | current scope | 
|---|---|
| input | A complex tensor. | 
| fftLength | An int32 tensor. The FFT length for each dimension. | 
| axes | An int32 tensor with a same shape as fft_length. Axes to perform the transform. | 
Returns
- a new instance of IRFFTND
public Output<U> output ()
A complex tensor of the same shape as `input`. The designated dimensions of `input` are replaced with their inverse real Fourier transforms.