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.
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static <U extends Number, T> IRFFTND<U> | |
static <T> IRFFTND<Float> | |
Output<U> |
output()
A complex tensor of the same shape as `input`.
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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.