@Operator public final class IRFFT2D extends PrimitiveOp implements Operand<Float>
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 `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.
operation| Modifier and Type | Method and Description |
|---|---|
Output<Float> |
asOutput()
Returns the symbolic handle of a tensor.
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static IRFFT2D |
create(Scope scope,
Operand<?> input,
Operand<Integer> fftLength)
Factory method to create a class to wrap a new IRFFT2D operation to the graph.
|
Output<Float> |
output()
A float32 tensor of the same rank as `input`.
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equals, hashCode, toStringpublic static IRFFT2D create(Scope scope, Operand<?> input, Operand<Integer> fftLength)
scope - current graph scopeinput - A complex64 tensor.fftLength - An int32 tensor of shape [2]. The FFT length for each dimension.public Output<Float> output()
public Output<Float> asOutput()
OperandInputs 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.
asOutput in interface Operand<Float>OperationBuilder.addInput(Output)Copyright © 2015–2019. All rights reserved.