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.
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static Irfft2d<TFloat32> | |
static <U extends TNumber> Irfft2d<U> | |
Output<U> |
output()
A float32 tensor of the same rank as `input`.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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 |
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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.