@Operator(group="signal") 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 `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.
operation
Modifier and Type | Method and Description |
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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 wrapping a new Irfft2d operation.
|
Output<Float> |
output()
A float32 tensor of the same rank as `input`.
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equals, hashCode, op, toString
public static Irfft2d create(Scope scope, Operand<?> input, Operand<Integer> fftLength)
scope
- current 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()
Operand
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.
asOutput
in interface Operand<Float>
OperationBuilder.addInput(Output)
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