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Mel spectogram computation (fft bits).
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@ -12,6 +12,7 @@ readme = "README.md"
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[dependencies]
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candle = { path = "../candle-core", default-features=false }
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num-traits = "0.2.15"
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[dev-dependencies]
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anyhow = { version = "1", features = ["backtrace"] }
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79
candle-examples/examples/whisper/audio.rs
Normal file
79
candle-examples/examples/whisper/audio.rs
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@ -0,0 +1,79 @@
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// Audio processing code, adapted from whisper.cpp
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// https://github.com/ggerganov/whisper.cpp
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trait Float: num_traits::Float + num_traits::FloatConst + num_traits::NumAssign {}
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// https://github.com/ggerganov/whisper.cpp/blob/4774d2feb01a772a15de81ffc34b34a1f294f020/whisper.cpp#L2357
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fn fft<T: Float>(inp: &[T]) -> Vec<T> {
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let n = inp.len();
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let zero = T::zero();
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if n == 1 {
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return vec![inp[0], zero];
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}
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if n % 2 == 1 {
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return dft(inp);
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}
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let mut out = vec![zero; n * 2];
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let mut even = vec![];
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even.reserve(n / 2);
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let mut odd = vec![];
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odd.reserve(n / 2);
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for (i, &inp) in inp.iter().enumerate() {
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if i % 2 == 0 {
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even.push(inp)
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} else {
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odd.push(inp);
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}
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}
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let even_fft = fft(&even);
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let odd_fft = fft(&odd);
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let two_pi = T::PI() + T::PI();
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let n_t = T::from(n).unwrap();
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for k in 0..n / 2 {
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let k_t = T::from(k).unwrap();
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let theta = two_pi * k_t / n_t;
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let re = theta.cos();
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let im = -theta.sin();
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let re_odd = odd_fft[2 * k];
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let im_odd = odd_fft[2 * k + 1];
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out[2 * k] = even_fft[2 * k] + re * re_odd - im * im_odd;
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out[2 * k + 1] = even_fft[2 * k + 1] + re * im_odd + im * re_odd;
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out[2 * (k + n / 2)] = even_fft[2 * k] - re * re_odd + im * im_odd;
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out[2 * (k + n / 2) + 1] = even_fft[2 * k + 1] - re * im_odd - im * re_odd;
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}
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out
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}
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// https://github.com/ggerganov/whisper.cpp/blob/4774d2feb01a772a15de81ffc34b34a1f294f020/whisper.cpp#L2337
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fn dft<T: Float>(inp: &[T]) -> Vec<T> {
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let zero = T::zero();
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let n = inp.len();
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let two_pi = T::PI() + T::PI();
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let mut out = Vec::new();
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out.reserve(2 * n);
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let n_t = T::from(n).unwrap();
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for k in 0..n {
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let k_t = T::from(k).unwrap();
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let mut re = zero;
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let mut im = zero;
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for (j, &inp) in inp.iter().enumerate() {
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let j_t = T::from(j).unwrap();
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let angle = two_pi * k_t * j_t / n_t;
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re += inp * angle.cos();
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im -= inp * angle.sin();
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}
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out.push(re);
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out.push(im);
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}
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out
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}
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@ -10,6 +10,8 @@ use candle::{DType, Device, Tensor};
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use clap::Parser;
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use rand::{distributions::Distribution, SeedableRng};
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use tokenizers::Tokenizer;
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mod audio;
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mod model;
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use model::{Config, VarBuilder, Whisper};
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