Website Blog TensorPlay documentation

Automatic differentiation package - tensorplay.autograd Automatic Mixed Precision package - tensorplay.amp Distributed communication package - tensorplay.distributed Index Multiprocessing package - tensorplay.multiprocessing Python Module Index Quantization Search tensorplay tensorplay._stax tensorplay.audio tensorplay.cuda tensorplay.fft tensorplay.futures tensorplay.hub tensorplay.library tensorplay.linalg tensorplay.nn tensorplay.nn.functional tensorplay.nn.init tensorplay.optim tensorplay.random tensorplay.sparse tensorplay.special tensorplay.stax tensorplay.utils.checkpoint tensorplay.utils.data tensorplay.vision

tensorplay.fft._frequency.fftfreq tensorplay.fft._frequency.fftshift tensorplay.fft._frequency.ifftshift tensorplay.fft._frequency.rfftfreq tensorplay.fft._transforms.fft tensorplay.fft._transforms.fft2 tensorplay.fft._transforms.fftn tensorplay.fft._transforms.hfft tensorplay.fft._transforms.hfft2 tensorplay.fft._transforms.hfftn tensorplay.fft._transforms.ifft tensorplay.fft._transforms.ifft2 tensorplay.fft._transforms.ifftn tensorplay.fft._transforms.ihfft tensorplay.fft._transforms.ihfft2 tensorplay.fft._transforms.ihfftn tensorplay.fft._transforms.irfft tensorplay.fft._transforms.irfft2 tensorplay.fft._transforms.irfftn tensorplay.fft._transforms.rfft tensorplay.fft._transforms.rfft2 tensorplay.fft._transforms.rfftn

API symbolsfft

latest (dev)

latest (dev)2026-09-08 v1.0.02026-09-06

Copy

tensorplay.fft._transforms.rfft

tensorplay.fft._transforms.rfft(input, n=None, dim=-1, norm=None, *, out=None)[source]: Computes the one-dimensional FFT of real input, one-sided output.

Help improve this page

Found an error, an unclear step, or a missing example?

Was this page helpful?

Suggest an edit Report an issue

tensorplay.fft._transforms.irfftn

Inverse of rfftn() ; s[-1] is the real output size.

tensorplay.fft._transforms.rfft2

Computes the two-dimensional FFT of real input.

On this page