rlx-fft 0.2.4

Learned FFT via butterfly networks — train for reference precision, run compiled on RLX backends
Documentation

rlx-fft

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 12 feature flags, 1 of them enabled by default.

default

cpu (default)

all-backends

amd-gpu

apple-silicon

cuda

gpu

metal

mlx

nvidia-gpu

portable-gpu

rocm

vulkan