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Latest development documentation · Updated 2026-09-08. A documentation snapshot for package 1.0.0.dev20260909 is not available.

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tensorplay.fft

Discrete Fourier transforms and related functions.

Fast Fourier Transforms

`tensorplay.fft._transforms.fft`	Computes the one-dimensional discrete Fourier transform.
`tensorplay.fft._transforms.ifft`	Computes the one-dimensional inverse discrete Fourier transform.
`tensorplay.fft._transforms.fft2`	Computes the two-dimensional discrete Fourier transform.
`tensorplay.fft._transforms.ifft2`	Computes the two-dimensional inverse discrete Fourier transform.
`tensorplay.fft._transforms.fftn`	Computes the N-dimensional discrete Fourier transform over `dim`.
`tensorplay.fft._transforms.ifftn`	Computes the N-dimensional inverse discrete Fourier transform.
`tensorplay.fft._transforms.rfft`	Computes the one-dimensional FFT of real input, one-sided output.
`tensorplay.fft._transforms.irfft`	Computes the inverse of `rfft()`; `n` is the output length.
`tensorplay.fft._transforms.rfft2`	Computes the two-dimensional FFT of real input.
`tensorplay.fft._transforms.irfft2`	Computes the inverse of `rfft2()`.
`tensorplay.fft._transforms.rfftn`	N-dimensional FFT of real input; one-sided along the last listed dim.
`tensorplay.fft._transforms.irfftn`	Inverse of `rfftn()`; `s[-1]` is the real output size.
`tensorplay.fft._transforms.hfft`	Computes the 1-D FFT of a Hermitian-symmetric spectrum; real output.
`tensorplay.fft._transforms.ihfft`	Computes the inverse of `hfft()`; one-sided complex output.
`tensorplay.fft._transforms.hfft2`	Two-dimensional inverse of a Hermitian-symmetric spectrum; real output.
`tensorplay.fft._transforms.ihfft2`	Two-dimensional counterpart of `ihfft()`.
`tensorplay.fft._transforms.hfftn`	N-dimensional FFT of a Hermitian-symmetric spectrum; real output.
`tensorplay.fft._transforms.ihfftn`	Inverse of `hfftn()`: `ihfft()` along the final transformed dimension, then `fft()` over the remaining dimensions.

Helper Functions

`tensorplay.fft._frequency.fftfreq`	DFT sample frequencies (cycles/unit): `[0, 1, ..., n/2-1, -n/2, ..., -1] / (n*d)`.
`tensorplay.fft._frequency.rfftfreq`	Sample frequencies for `rfft()`/one-sided transforms: `[0..n//2] / (n*d)`.
`tensorplay.fft._frequency.fftshift`	Re-orders an N-D FFT output so the zero-frequency term is centered.
`tensorplay.fft._frequency.ifftshift`	Inverse of `fftshift()`; shifts by `-(n // 2)` (odd-safe).