Primitive Type f16
f16
#116909)Expand description
A 16-bit floating point type (specifically, the “binary16” type defined in IEEE 754-2008).
This type is very similar to f32
but has decreased precision because it uses half as many
bits. Please see [the documentation for f32
or Wikipedia on
half-precision values for more information.
Note that most common platforms will not support f16
in hardware without enabling extra target
features, with the notable exception of Apple Silicon (also known as M1, M2, etc.) processors.
Hardware support on x86-64 requires the avx512fp16 feature, while RISC-V requires Zhf.
Usually the fallback implementation will be to use f32
hardware if it exists, and convert
between f16
and f32
when performing math.
Implementations§
source§impl f16
impl f16
sourcepub const RADIX: u32 = 2u32
🔬This is a nightly-only experimental API. (f16
#116909)
pub const RADIX: u32 = 2u32
f16
#116909)The radix or base of the internal representation of f16
.
sourcepub const MANTISSA_DIGITS: u32 = 11u32
🔬This is a nightly-only experimental API. (f16
#116909)
pub const MANTISSA_DIGITS: u32 = 11u32
f16
#116909)Number of significant digits in base 2.
sourcepub const DIGITS: u32 = 3u32
🔬This is a nightly-only experimental API. (f16
#116909)
pub const DIGITS: u32 = 3u32
f16
#116909)Approximate number of significant digits in base 10.
This is the maximum x such that any decimal number with x
significant digits can be converted to f16
and back without loss.
Equal to floor(log10 2MANTISSA_DIGITS
− 1).
sourcepub const EPSILON: f16 = {transmute(0x1400): f16}
🔬This is a nightly-only experimental API. (f16
#116909)
pub const EPSILON: f16 = {transmute(0x1400): f16}
f16
#116909)Machine epsilon value for f16
.
This is the difference between 1.0
and the next larger representable number.
Equal to 21 − MANTISSA_DIGITS
.
sourcepub const MIN: f16 = {transmute(0xfbff): f16}
🔬This is a nightly-only experimental API. (f16
#116909)
pub const MIN: f16 = {transmute(0xfbff): f16}
f16
#116909)Smallest finite f16
value.
Equal to −MAX
.
sourcepub const MIN_POSITIVE: f16 = {transmute(0x0400): f16}
🔬This is a nightly-only experimental API. (f16
#116909)
pub const MIN_POSITIVE: f16 = {transmute(0x0400): f16}
f16
#116909)Smallest positive normal f16
value.
Equal to 2MIN_EXP
− 1.
sourcepub const MAX: f16 = {transmute(0x7bff): f16}
🔬This is a nightly-only experimental API. (f16
#116909)
pub const MAX: f16 = {transmute(0x7bff): f16}
f16
#116909)Largest finite f16
value.
Equal to
(1 − 2−MANTISSA_DIGITS
) 2MAX_EXP
.
sourcepub const MIN_EXP: i32 = -13i32
🔬This is a nightly-only experimental API. (f16
#116909)
pub const MIN_EXP: i32 = -13i32
f16
#116909)One greater than the minimum possible normal power of 2 exponent.
If x = MIN_EXP
, then normal numbers
≥ 0.5 × 2x.
sourcepub const MAX_EXP: i32 = 16i32
🔬This is a nightly-only experimental API. (f16
#116909)
pub const MAX_EXP: i32 = 16i32
f16
#116909)Maximum possible power of 2 exponent.
If x = MAX_EXP
, then normal numbers
< 1 × 2x.
sourcepub const MIN_10_EXP: i32 = -4i32
🔬This is a nightly-only experimental API. (f16
#116909)
pub const MIN_10_EXP: i32 = -4i32
f16
#116909)Minimum x for which 10x is normal.
Equal to ceil(log10 MIN_POSITIVE
).
sourcepub const MAX_10_EXP: i32 = 4i32
🔬This is a nightly-only experimental API. (f16
#116909)
pub const MAX_10_EXP: i32 = 4i32
f16
#116909)Maximum x for which 10x is normal.
Equal to floor(log10 MAX
).
sourcepub const fn is_nan(self) -> bool
🔬This is a nightly-only experimental API. (f16
#116909)
pub const fn is_nan(self) -> bool
f16
#116909)Returns true
if this value is NaN.
sourcepub fn is_sign_positive(self) -> bool
🔬This is a nightly-only experimental API. (f16
#116909)
pub fn is_sign_positive(self) -> bool
f16
#116909)Returns true
if self
has a positive sign, including +0.0
, NaNs with
positive sign bit and positive infinity. Note that IEEE 754 doesn’t assign any
meaning to the sign bit in case of a NaN, and as Rust doesn’t guarantee that
the bit pattern of NaNs are conserved over arithmetic operations, the result of
is_sign_positive
on a NaN might produce an unexpected result in some cases.
See explanation of NaN as a special value for more info.
#![feature(f16)]
let f = 7.0_f16;
let g = -7.0_f16;
assert!(f.is_sign_positive());
assert!(!g.is_sign_positive());
Runsourcepub fn is_sign_negative(self) -> bool
🔬This is a nightly-only experimental API. (f16
#116909)
pub fn is_sign_negative(self) -> bool
f16
#116909)Returns true
if self
has a negative sign, including -0.0
, NaNs with
negative sign bit and negative infinity. Note that IEEE 754 doesn’t assign any
meaning to the sign bit in case of a NaN, and as Rust doesn’t guarantee that
the bit pattern of NaNs are conserved over arithmetic operations, the result of
is_sign_negative
on a NaN might produce an unexpected result in some cases.
See explanation of NaN as a special value for more info.
#![feature(f16)]
let f = 7.0_f16;
let g = -7.0_f16;
assert!(!f.is_sign_negative());
assert!(g.is_sign_negative());
Runsourcepub fn to_bits(self) -> u16
🔬This is a nightly-only experimental API. (f16
#116909)
pub fn to_bits(self) -> u16
f16
#116909)Raw transmutation to u16
.
This is currently identical to transmute::<f16, u16>(self)
on all platforms.
See from_bits
for some discussion of the
portability of this operation (there are almost no issues).
Note that this function is distinct from as
casting, which attempts to
preserve the numeric value, and not the bitwise value.
sourcepub fn from_bits(v: u16) -> Self
🔬This is a nightly-only experimental API. (f16
#116909)
pub fn from_bits(v: u16) -> Self
f16
#116909)Raw transmutation from u16
.
This is currently identical to transmute::<u16, f16>(v)
on all platforms.
It turns out this is incredibly portable, for two reasons:
- Floats and Ints have the same endianness on all supported platforms.
- IEEE 754 very precisely specifies the bit layout of floats.
However there is one caveat: prior to the 2008 version of IEEE 754, how to interpret the NaN signaling bit wasn’t actually specified. Most platforms (notably x86 and ARM) picked the interpretation that was ultimately standardized in 2008, but some didn’t (notably MIPS). As a result, all signaling NaNs on MIPS are quiet NaNs on x86, and vice-versa.
Rather than trying to preserve signaling-ness cross-platform, this implementation favors preserving the exact bits. This means that any payloads encoded in NaNs will be preserved even if the result of this method is sent over the network from an x86 machine to a MIPS one.
If the results of this method are only manipulated by the same architecture that produced them, then there is no portability concern.
If the input isn’t NaN, then there is no portability concern.
If you don’t care about signalingness (very likely), then there is no portability concern.
Note that this function is distinct from as
casting, which attempts to
preserve the numeric value, and not the bitwise value.
Trait Implementations§
1.22.0 · source§impl AddAssign<&f16> for f16
impl AddAssign<&f16> for f16
source§fn add_assign(&mut self, other: &f16)
fn add_assign(&mut self, other: &f16)
+=
operation. Read more1.8.0 · source§impl AddAssign for f16
impl AddAssign for f16
source§fn add_assign(&mut self, other: f16)
fn add_assign(&mut self, other: f16)
+=
operation. Read more1.22.0 · source§impl DivAssign<&f16> for f16
impl DivAssign<&f16> for f16
source§fn div_assign(&mut self, other: &f16)
fn div_assign(&mut self, other: &f16)
/=
operation. Read more1.8.0 · source§impl DivAssign for f16
impl DivAssign for f16
source§fn div_assign(&mut self, other: f16)
fn div_assign(&mut self, other: f16)
/=
operation. Read more1.22.0 · source§impl MulAssign<&f16> for f16
impl MulAssign<&f16> for f16
source§fn mul_assign(&mut self, other: &f16)
fn mul_assign(&mut self, other: &f16)
*=
operation. Read more1.8.0 · source§impl MulAssign for f16
impl MulAssign for f16
source§fn mul_assign(&mut self, other: f16)
fn mul_assign(&mut self, other: f16)
*=
operation. Read more1.0.0 (const: unstable) · source§impl PartialEq for f16
impl PartialEq for f16
1.0.0 · source§impl PartialOrd for f16
impl PartialOrd for f16
source§fn le(&self, other: &f16) -> bool
fn le(&self, other: &f16) -> bool
self
and other
) and is used by the <=
operator. Read more1.0.0 · source§impl Rem for f16
impl Rem for f16
The remainder from the division of two floats.
The remainder has the same sign as the dividend and is computed as:
x - (x / y).trunc() * y
.
§Examples
let x: f32 = 50.50;
let y: f32 = 8.125;
let remainder = x - (x / y).trunc() * y;
// The answer to both operations is 1.75
assert_eq!(x % y, remainder);
Run1.22.0 · source§impl RemAssign<&f16> for f16
impl RemAssign<&f16> for f16
source§fn rem_assign(&mut self, other: &f16)
fn rem_assign(&mut self, other: &f16)
%=
operation. Read more1.8.0 · source§impl RemAssign for f16
impl RemAssign for f16
source§fn rem_assign(&mut self, other: f16)
fn rem_assign(&mut self, other: f16)
%=
operation. Read more1.22.0 · source§impl SubAssign<&f16> for f16
impl SubAssign<&f16> for f16
source§fn sub_assign(&mut self, other: &f16)
fn sub_assign(&mut self, other: &f16)
-=
operation. Read more1.8.0 · source§impl SubAssign for f16
impl SubAssign for f16
source§fn sub_assign(&mut self, other: f16)
fn sub_assign(&mut self, other: f16)
-=
operation. Read more