torch (version 0.14.2)

torch_fft_fftfreq: fftfreq

Description

Computes the discrete Fourier Transform sample frequencies for a signal of size n.

Usage

torch_fft_fftfreq(
  n,
  d = 1,
  dtype = NULL,
  layout = NULL,
  device = NULL,
  requires_grad = FALSE
)

Arguments

n

(integer) – the FFT length

d

(float, optional) – the sampling length scale. The spacing between individual samples of the FFT input. The default assumes unit spacing, dividing that result by the actual spacing gives the result in physical frequency units.

dtype

(default: torch_get_default_dtype()) the desired data type of returned tensor.

layout

(default: torch_strided()) the desired layout of returned tensor.

device

(default: NULL) the desired device of returned tensor. Default: If NULL, uses the current device for the default tensor type.

requires_grad

(default: FALSE) If autograd should record operations on the returned tensor.

Examples

if (torch_is_installed()) {
torch_fft_fftfreq(5) # Nyquist frequency at f[3] is positive
torch_fft_fftfreq(4) # Nyquist frequency at f[3] is given as negative

}