# Trait std::simd::StdFloat

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    pub trait StdFloat: Sealed + Sized {
        // Required method
        fn fract(self) -> Self;

        // Provided methods
        fn mul_add(self, a: Self, b: Self) -> Self { ... }
        fn sqrt(self) -> Self { ... }
        fn ceil(self) -> Self { ... }
        fn floor(self) -> Self { ... }
        fn round(self) -> Self { ... }
        fn trunc(self) -> Self { ... }
    }

🔬This is a nightly-only experimental API. (`portable_simd` #86656)
Expand description

This trait provides a possibly-temporary implementation of float functions that may, in the absence of hardware support, canonicalize to calling an operating system’s `math.h` dynamically-loaded library (also known as a shared object). As these conditionally require runtime support, they should only appear in binaries built assuming OS support: `std`.

However, there is no reason SIMD types, in general, need OS support, as for many architectures an embedded binary may simply configure that support itself. This means these types must be visible in `core` but have these functions available in `std`.

`f32` and `f64` achieve a similar trick by using “lang items”, but due to compiler limitations, it is harder to implement this approach for abstract data types like `Simd`. From that need, this trait is born.

It is possible this trait will be replaced in some manner in the future, when either the compiler or its supporting runtime functions are improved. For now this trait is available to permit experimentation with SIMD float operations that may lack hardware support, such as `mul_add`.

## Required Methods§

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#### fn fract(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the floating point’s fractional value, with its integer part removed.

## Provided Methods§

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#### fn mul_add(self, a: Self, b: Self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Fused multiply-add. Computes `(self * a) + b` with only one rounding error, yielding a more accurate result than an unfused multiply-add.

Using `mul_add` may be more performant than an unfused multiply-add if the target architecture has a dedicated `fma` CPU instruction. However, this is not always true, and will be heavily dependent on designing algorithms with specific target hardware in mind.

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#### fn sqrt(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Produces a vector where every lane has the square root value of the equivalently-indexed lane in `self`

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#### fn ceil(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the smallest integer greater than or equal to each lane.

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#### fn floor(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the largest integer value less than or equal to each lane.

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#### fn round(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Rounds to the nearest integer value. Ties round toward zero.

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#### fn trunc(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the floating point’s integer value, with its fractional part removed.

## Object Safety§

This trait is not object safe.

## Implementors§

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### impl<const N: usize> StdFloat for Simd<f32, N>where LaneCount<N>: SupportedLaneCount,

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### impl<const N: usize> StdFloat for Simd<f64, N>where LaneCount<N>: SupportedLaneCount,