@Operator public final class RFFT extends PrimitiveOp implements Operand<Object>
Computes the 1-dimensional discrete Fourier transform of a real-valued signal over the inner-most dimension of `input`.
Since the DFT of a real signal is Hermitian-symmetric, `RFFT` only returns the `fft_length / 2 + 1` unique components of the FFT: the zero-frequency term, followed by the `fft_length / 2` positive-frequency terms.
Along the axis `RFFT` is computed on, if `fft_length` 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<Object> |
asOutput()
Returns the symbolic handle of a tensor.
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static RFFT |
create(Scope scope,
Operand<Float> input,
Operand<Integer> fftLength)
Factory method to create a class to wrap a new RFFT operation to the graph.
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Output<?> |
output()
A complex64 tensor of the same rank as `input`.
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equals, hashCode, toStringpublic static RFFT create(Scope scope, Operand<Float> input, Operand<Integer> fftLength)
scope - current graph scopeinput - A float32 tensor.fftLength - An int32 tensor of shape [1]. The FFT length.public Output<?> output()
public Output<Object> 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<Object>OperationBuilder.addInput(Output)Copyright © 2015–2019. All rights reserved.