[−][src]Type Definition packed_simd::f32x8
type f32x8 = Simd<[f32; 8]>;
A 256-bit vector with 8 f32 lanes.
Methods
impl f32x8[src][−]
pub const fn new(
x0: f32,
x1: f32,
x2: f32,
x3: f32,
x4: f32,
x5: f32,
x6: f32,
x7: f32
) -> Self[src][−]
x0: f32,
x1: f32,
x2: f32,
x3: f32,
x4: f32,
x5: f32,
x6: f32,
x7: f32
) -> Self
Creates a new instance with each vector elements initialized with the provided values.
pub const fn lanes() -> usize[src][−]
Returns the number of vector lanes.
pub const fn splat(value: f32) -> Self[src][−]
Constructs a new instance with each element initialized to
value.
pub fn extract(self, index: usize) -> f32[src][−]
pub unsafe fn extract_unchecked(self, index: usize) -> f32[src][−]
pub fn replace(self, index: usize, new_value: f32) -> Self[src][−]
Returns a new vector where the value at index is replaced by new_value.
Panics
If index >= Self::lanes().
pub unsafe fn replace_unchecked(self, index: usize, new_value: f32) -> Self[src][−]
Returns a new vector where the value at index is replaced by new_value.
Precondition
If index >= Self::lanes() the behavior is undefined.
impl f32x8[src][−]
pub fn min(self, x: Self) -> Self[src][−]
Minimum of two vectors.
Returns a new vector containing the minimum value of each of the input vector lanes.
pub fn max(self, x: Self) -> Self[src][−]
Maximum of two vectors.
Returns a new vector containing the maximum value of each of the input vector lanes.
impl f32x8[src][−]
pub fn sum(self) -> f32[src][−]
Horizontal sum of the vector elements.
The intrinsic performs a tree-reduction of the vector elements. That is, for an 8 element vector:
((x0 + x1) + (x2 + x3)) + ((x4 + x5) + (x6 + x7))
If one of the vector element is NaN the reduction returns
NaN. The resulting NaN is not required to be equal to any
of the NaNs in the vector.
pub fn product(self) -> f32[src][−]
Horizontal product of the vector elements.
The intrinsic performs a tree-reduction of the vector elements. That is, for an 8 element vector:
((x0 * x1) * (x2 * x3)) * ((x4 * x5) * (x6 * x7))
If one of the vector element is NaN the reduction returns
NaN. The resulting NaN is not required to be equal to any
of the NaNs in the vector.
impl f32x8[src][−]
pub fn max_element(self) -> f32[src][−]
Largest vector element value.
pub fn min_element(self) -> f32[src][−]
Smallest vector element value.
impl f32x8[src][−]
pub fn from_slice_aligned(slice: &[f32]) -> Self[src][−]
Instantiates a new vector with the values of the slice.
Panics
If slice.len() < Self::lanes() or &slice[0] is not aligned
to an align_of::<Self>() boundary.
pub fn from_slice_unaligned(slice: &[f32]) -> Self[src][−]
pub unsafe fn from_slice_aligned_unchecked(slice: &[f32]) -> Self[src][−]
Instantiates a new vector with the values of the slice.
Precondition
If slice.len() < Self::lanes() or &slice[0] is not aligned
to an align_of::<Self>() boundary, the behavior is undefined.
pub unsafe fn from_slice_unaligned_unchecked(slice: &[f32]) -> Self[src][−]
Instantiates a new vector with the values of the slice.
Precondition
If slice.len() < Self::lanes() the behavior is undefined.
impl f32x8[src][−]
pub fn write_to_slice_aligned(self, slice: &mut [f32])[src][−]
Writes the values of the vector to the slice.
Panics
If slice.len() < Self::lanes() or &slice[0] is not
aligned to an align_of::<Self>() boundary.
pub fn write_to_slice_unaligned(self, slice: &mut [f32])[src][−]
pub unsafe fn write_to_slice_aligned_unchecked(self, slice: &mut [f32])[src][−]
Writes the values of the vector to the slice.
Precondition
If slice.len() < Self::lanes() or &slice[0] is not
aligned to an align_of::<Self>() boundary, the behavior is
undefined.
pub unsafe fn write_to_slice_unaligned_unchecked(self, slice: &mut [f32])[src][−]
Writes the values of the vector to the slice.
Precondition
If slice.len() < Self::lanes() the behavior is undefined.
impl f32x8[src][−]
pub fn shuffle1_dyn<I>(self, indices: I) -> Self where
Self: Shuffle1Dyn<Indices = I>, [src][−]
Self: Shuffle1Dyn<Indices = I>,
Shuffle vector elements according to indices.
impl f32x8[src]
pub const EPSILON: f32x8[src][−][−]
Machine epsilon value.
pub const MIN: f32x8[src][−][−]
Smallest finite value.
pub const MIN_POSITIVE: f32x8[src][−][−]
Smallest positive normal value.
pub const MAX: f32x8[src][−][−]
Largest finite value.
pub const NAN: f32x8[src][−][−]
Not a Number (NaN).
pub const INFINITY: f32x8[src][−][−]
Infinity (∞).
pub const NEG_INFINITY: f32x8[src][−][−]
Negative infinity (-∞).
pub const PI: f32x8[src][−][−]
Archimedes' constant (π)
pub const FRAC_PI_2: f32x8[src][−][−]
π/2
pub const FRAC_PI_3: f32x8[src][−][−]
π/3
pub const FRAC_PI_4: f32x8[src][−][−]
π/4
pub const FRAC_PI_6: f32x8[src][−][−]
π/6
pub const FRAC_PI_8: f32x8[src][−][−]
π/8
pub const FRAC_1_PI: f32x8[src][−][−]
1/π
pub const FRAC_2_PI: f32x8[src][−][−]
2/π
pub const FRAC_2_SQRT_PI: f32x8[src][−][−]
2/sqrt(π)
pub const SQRT_2: f32x8[src][−][−]
sqrt(2)
pub const FRAC_1_SQRT_2: f32x8[src][−][−]
1/sqrt(2)
pub const E: f32x8[src][−][−]
Euler's number (e)
pub const LOG2_E: f32x8[src][−][−]
log2(e)
pub const LOG10_E: f32x8[src][−][−]
log10(e)
pub const LN_2: f32x8[src][−][−]
ln(2)
pub const LN_10: f32x8[src][−][−]
ln(10)
impl f32x8[src][−]
pub fn is_nan(self) -> m32x8[src]
pub fn is_infinite(self) -> m32x8[src]
pub fn is_finite(self) -> m32x8[src]
impl f32x8[src][−]
impl f32x8[src][−]
impl f32x8[src][−]
impl f32x8[src][−]
impl f32x8[src][−]
impl f32x8[src][−]
pub fn mul_adde(self, y: Self, z: Self) -> Self[src][−]
Fused multiply add estimate: ~= self * y + z
While fused multiply-add (fma) has infinite precision,
mul_adde has at worst the same precision of a multiply followed by an add.
This might be more efficient on architectures that do not have an fma instruction.
impl f32x8[src][−]
impl f32x8[src][−]
pub fn recpre(self) -> Self[src][−]
Reciprocal estimate: ~= 1. / self.
FIXME: The precision of the estimate is currently unspecified.
impl f32x8[src][−]
pub fn rsqrte(self) -> Self[src][−]
Reciprocal square-root estimate: ~= 1. / self.sqrt().
FIXME: The precision of the estimate is currently unspecified.
impl f32x8[src][−]
pub fn sin(self) -> Self[src][−]
Sine.
pub fn sin_pi(self) -> Self[src][−]
Sine of self * PI.
pub fn sin_cos_pi(self) -> (Self, Self)[src][−]
Sine and cosine of self * PI.
impl f32x8[src][−]
impl f32x8[src][−]
pub fn sqrte(self) -> Self[src][−]
Square-root estimate.
FIXME: The precision of the estimate is currently unspecified.
impl f32x8[src][−]
pub fn eq(self, other: Self) -> m32x8[src][−]
Lane-wise equality comparison.
pub fn ne(self, other: Self) -> m32x8[src][−]
Lane-wise inequality comparison.
pub fn lt(self, other: Self) -> m32x8[src][−]
Lane-wise less-than comparison.
pub fn le(self, other: Self) -> m32x8[src][−]
Lane-wise less-than-or-equals comparison.
pub fn gt(self, other: Self) -> m32x8[src][−]
Lane-wise greater-than comparison.
pub fn ge(self, other: Self) -> m32x8[src][−]
Lane-wise greater-than-or-equals comparison.