use crate ::{bf16, f16};
use rand::{distr::Distribution, Rng};
use rand_distr::uniform::UniformFloat;
macro_rules! impl_distribution_via_f32 {
($Ty:ty, $Distr:ty) => {
impl Distribution<$Ty> for $Distr {
fn sample<R: Rng + ?Sized>(&self , rng: &mut R) -> $Ty {
<$Ty>::from_f32(<Self as Distribution<f32>>::sample(self , rng))
}
}
};
}
impl_distribution_via_f32!(f16, rand_distr::StandardUniform);
impl_distribution_via_f32!(f16, rand_distr::StandardNormal);
impl_distribution_via_f32!(f16, rand_distr::Exp1);
impl_distribution_via_f32!(f16, rand_distr::Open01);
impl_distribution_via_f32!(f16, rand_distr::OpenClosed01);
impl_distribution_via_f32!(bf16, rand_distr::StandardUniform);
impl_distribution_via_f32!(bf16, rand_distr::StandardNormal);
impl_distribution_via_f32!(bf16, rand_distr::Exp1);
impl_distribution_via_f32!(bf16, rand_distr::Open01);
impl_distribution_via_f32!(bf16, rand_distr::OpenClosed01);
#[ derive(Debug, Clone, Copy)]
pub struct Float16Sampler(UniformFloat<f32>);
impl rand_distr::uniform::SampleUniform for f16 {
type Sampler = Float16Sampler;
}
impl rand_distr::uniform::UniformSampler for Float16Sampler {
type X = f16;
fn new<B1, B2>(low: B1, high: B2) -> Result<Self , rand_distr::uniform::Error>
where
B1: rand_distr::uniform::SampleBorrow<Self ::X> + Sized,
B2: rand_distr::uniform::SampleBorrow<Self ::X> + Sized,
{
Ok(Self (UniformFloat::new(
low.borrow().to_f32(),
high.borrow().to_f32(),
)?))
}
fn new_inclusive<B1, B2>(low: B1, high: B2) -> Result<Self , rand_distr::uniform::Error>
where
B1: rand_distr::uniform::SampleBorrow<Self ::X> + Sized,
B2: rand_distr::uniform::SampleBorrow<Self ::X> + Sized,
{
Ok(Self (UniformFloat::new_inclusive(
low.borrow().to_f32(),
high.borrow().to_f32(),
)?))
}
fn sample<R: Rng + ?Sized>(&self , rng: &mut R) -> Self ::X {
f16::from_f32(self .0 .sample(rng))
}
}
#[ derive(Debug, Clone, Copy)]
pub struct BFloat16Sampler(UniformFloat<f32>);
impl rand_distr::uniform::SampleUniform for bf16 {
type Sampler = BFloat16Sampler;
}
impl rand_distr::uniform::UniformSampler for BFloat16Sampler {
type X = bf16;
fn new<B1, B2>(low: B1, high: B2) -> Result<Self , rand_distr::uniform::Error>
where
B1: rand_distr::uniform::SampleBorrow<Self ::X> + Sized,
B2: rand_distr::uniform::SampleBorrow<Self ::X> + Sized,
{
Ok(Self (UniformFloat::new(
low.borrow().to_f32(),
high.borrow().to_f32(),
)?))
}
fn new_inclusive<B1, B2>(low: B1, high: B2) -> Result<Self , rand_distr::uniform::Error>
where
B1: rand_distr::uniform::SampleBorrow<Self ::X> + Sized,
B2: rand_distr::uniform::SampleBorrow<Self ::X> + Sized,
{
Ok(Self (UniformFloat::new_inclusive(
low.borrow().to_f32(),
high.borrow().to_f32(),
)?))
}
fn sample<R: Rng + ?Sized>(&self , rng: &mut R) -> Self ::X {
bf16::from_f32(self .0 .sample(rng))
}
}
#[ cfg(test)]
mod tests {
use super ::*;
#[ allow(unused_imports)]
use rand::{rng, Rng};
use rand_distr::{StandardNormal, StandardUniform, Uniform};
#[ test]
fn test_sample_f16() {
let mut rng = rng();
let _: f16 = rng.sample(StandardUniform);
let _: f16 = rng.sample(StandardNormal);
let _: f16 = rng.sample(Uniform::new(f16::from_f32(0 .0 ), f16::from_f32(1 .0 )).unwrap());
#[ cfg(feature = "num-traits" )]
let _: f16 =
rng.sample(rand_distr::Normal::new(f16::from_f32(0 .0 ), f16::from_f32(1 .0 )).unwrap());
}
#[ test]
fn test_sample_bf16() {
let mut rng = rng();
let _: bf16 = rng.sample(StandardUniform);
let _: bf16 = rng.sample(StandardNormal);
let _: bf16 = rng.sample(Uniform::new(bf16::from_f32(0 .0 ), bf16::from_f32(1 .0 )).unwrap());
#[ cfg(feature = "num-traits" )]
let _: bf16 =
rng.sample(rand_distr::Normal::new(bf16::from_f32(0 .0 ), bf16::from_f32(1 .0 )).unwrap());
}
}
Messung V0.5 in Prozent C=100 H=100 G=100
¤ Dauer der Verarbeitung: 0.15 Sekunden
(vorverarbeitet am 2026-08-25)
¤
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