Trait no_std_compat::simd::StdFloat
source · pub trait StdFloat: Sized + Sealed {
Show 15 methods
// Required methods
fn sin(self) -> Self;
fn cos(self) -> Self;
fn exp(self) -> Self;
fn exp2(self) -> Self;
fn ln(self) -> Self;
fn log2(self) -> Self;
fn log10(self) -> Self;
fn fract(self) -> Self;
// Provided methods
fn mul_add(self, a: Self, b: Self) -> Self { ... }
fn sqrt(self) -> Self { ... }
fn log(self, base: Self) -> Self { ... }
fn ceil(self) -> Self { ... }
fn floor(self) -> Self { ... }
fn round(self) -> Self { ... }
fn trunc(self) -> Self { ... }
}
portable_simd
)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§
sourcefn sin(self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn sin(self) -> Self
portable_simd
)Produces a vector where every element has the sine of the value
in the equivalently-indexed element in self
.
sourcefn cos(self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn cos(self) -> Self
portable_simd
)Produces a vector where every element has the cosine of the value
in the equivalently-indexed element in self
.
sourcefn exp(self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn exp(self) -> Self
portable_simd
)Produces a vector where every element has the exponential (base e) of the value
in the equivalently-indexed element in self
.
sourcefn exp2(self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn exp2(self) -> Self
portable_simd
)Produces a vector where every element has the exponential (base 2) of the value
in the equivalently-indexed element in self
.
sourcefn ln(self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn ln(self) -> Self
portable_simd
)Produces a vector where every element has the natural logarithm of the value
in the equivalently-indexed element in self
.
sourcefn log2(self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn log2(self) -> Self
portable_simd
)Produces a vector where every element has the base-2 logarithm of the value
in the equivalently-indexed element in self
.
Provided Methods§
sourcefn mul_add(self, a: Self, b: Self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn mul_add(self, a: Self, b: Self) -> Self
portable_simd
)Elementwise 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.
sourcefn sqrt(self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn sqrt(self) -> Self
portable_simd
)Produces a vector where every element has the square root value
of the equivalently-indexed element in self
sourcefn log(self, base: Self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn log(self, base: Self) -> Self
portable_simd
)Produces a vector where every element has the logarithm with respect to an arbitrary
in the equivalently-indexed elements in self
and base
.
sourcefn ceil(self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn ceil(self) -> Self
portable_simd
)Returns the smallest integer greater than or equal to each element.
sourcefn floor(self) -> Self
🔬This is a nightly-only experimental API. (portable_simd
)
fn floor(self) -> Self
portable_simd
)Returns the largest integer value less than or equal to each element.