@Operator(group="signal") public final class Rfft3d extends PrimitiveOp implements Operand<Object>
Computes the 3-dimensional discrete Fourier transform of a real-valued signal over the inner-most 3 dimensions of `input`.
Since the DFT of a real signal is Hermitian-symmetric, `signal.Rfft3d` only returns the `fft_length / 2 + 1` unique components of the FFT for the inner-most dimension of `output`: the zero-frequency term, followed by the `fft_length / 2` positive-frequency terms.
Along each axis `signal.Rfft3d` 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 |
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Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
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static Rfft3d |
create(Scope scope,
Operand<Float> input,
Operand<Integer> fftLength)
Factory method to create a class wrapping a new Rfft3d operation.
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Output<?> |
output()
A complex64 tensor of the same rank as `input`.
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equals, hashCode, op, toString
public static Rfft3d create(Scope scope, Operand<Float> input, Operand<Integer> fftLength)
scope
- current scopeinput
- A float32 tensor.fftLength
- An int32 tensor of shape [3]. The FFT length for each dimension.public Output<?> output()
public Output<Object> 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<Object>
OperationBuilder.addInput(Output)
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