|  TensorFlow 1 version |  View source on GitHub | 
Inverse real-valued fast Fourier transform.
tf.signal.irfft(
    input_tensor, fft_length=None, name=None
)
Computes the inverse 1-dimensional discrete Fourier transform of a real-valued
signal over the inner-most dimension of input.
The inner-most dimension of input is assumed to be the result of RFFT: 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
dimension of input (fft_length = 2 * (inner - 1)). If the FFT length used to
compute input is odd, it should be provided since it cannot be inferred
properly.
Along the axis IRFFT is computed on, if fft_length / 2 + 1 is smaller
than the corresponding dimension of input, the dimension is cropped. If it is
larger, the dimension is padded with zeros.
| Args | |
|---|---|
| input | A Tensor. Must be one of the following types:complex64,complex128.
A complex tensor. | 
| fft_length | A Tensorof typeint32.
An int32 tensor of shape [1]. The FFT length. | 
| Treal | An optional tf.DTypefrom:tf.float32, tf.float64. Defaults totf.float32. | 
| name | A name for the operation (optional). | 
| Returns | |
|---|---|
| A Tensorof typeTreal. |