Type Definition packed_simd_2::f32x16[−][src]

type f32x16 = Simd<[f32; 16]>;

Expand description

A 512-bit vector with 16 f32 lanes.

Implementations

`impl f32x16`[src]

`pub const fn new( x0: f32, x1: f32, x2: f32, x3: f32, x4: f32, x5: f32, x6: f32, x7: f32, x8: f32, x9: f32, x10: f32, x11: f32, x12: f32, x13: f32, x14: f32, x15: f32 ) -> Self`[src]

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]

Extracts the value at index.

Panics

If index >= Self::lanes().

`pub unsafe fn extract_unchecked(self, index: usize) -> f32`[src]

Extracts the value at index.

Safety

If index >= Self::lanes() the behavior is undefined.

#[must_use = "replace does not modify the original value - \ it returns a new vector with the value at `index` \ replaced by `new_value`d"] 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().

#[must_use = "replace_unchecked does not modify the original value - \ it returns a new vector with the value at `index` \ replaced by `new_value`d"] 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.

Safety

If index >= Self::lanes() the behavior is undefined.

`impl f32x16`[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 f32x16`[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 f32x16`[src]

`pub fn max_element(self) -> f32`[src]

Largest vector element value.

`pub fn min_element(self) -> f32`[src]

Smallest vector element value.

`impl f32x16`[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]

Instantiates a new vector with the values of the slice.

Panics

If slice.len() < Self::lanes().

`pub unsafe fn from_slice_aligned_unchecked(slice: &[f32]) -> Self`[src]

Instantiates a new vector with the values of the slice.

Safety

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.

Safety

If slice.len() < Self::lanes() the behavior is undefined.

`impl f32x16`[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]

Writes the values of the vector to the slice.

Panics

If slice.len() < Self::lanes().

`pub unsafe fn write_to_slice_aligned_unchecked(self, slice: &mut [f32])`[src]

Writes the values of the vector to the slice.

Safety

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.

Safety

If slice.len() < Self::lanes() the behavior is undefined.

`impl f32x16`[src]

`pub fn shuffle1_dyn<I>(self, indices: I) -> Self where Self: Shuffle1Dyn<Indices = I>,` [src]

Shuffle vector elements according to indices.

`impl f32x16`[src]

`pub const EPSILON: f32x16`[src]

Machine epsilon value.

`pub const MIN_POSITIVE: f32x16`[src]

Smallest positive normal value.

`pub const INFINITY: f32x16`[src]

Infinity (∞).

`pub const NEG_INFINITY: f32x16`[src]

Negative infinity (-∞).

`pub const PI: f32x16`[src]

Archimedes’ constant (π)

`pub const FRAC_PI_2: f32x16`[src]

π/2

`pub const FRAC_PI_3: f32x16`[src]

π/3

`pub const FRAC_PI_4: f32x16`[src]

π/4

`pub const FRAC_PI_6: f32x16`[src]

π/6

`pub const FRAC_PI_8: f32x16`[src]

π/8

`pub const FRAC_1_PI: f32x16`[src]

1/π

`pub const FRAC_2_PI: f32x16`[src]

2/π

`pub const FRAC_2_SQRT_PI: f32x16`[src]

2/sqrt(π)

`pub const SQRT_2: f32x16`[src]

sqrt(2)

`pub const FRAC_1_SQRT_2: f32x16`[src]

1/sqrt(2)

`pub const E: f32x16`[src]

Euler’s number (e)

`pub const LOG2_E: f32x16`[src]

log₂(e)

`pub const LOG10_E: f32x16`[src]

log₁₀(e)

`pub const LN_10: f32x16`[src]

ln(10)

`impl f32x16`[src]

`pub fn exp(self) -> Self`[src]

Returns the exponential function of self: e^(self).

`impl f32x16`[src]

`pub fn ln(self) -> Self`[src]

Returns the natural logarithm of self.

`impl f32x16`[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 f32x16`[src]

`pub fn powf(self, x: Self) -> Self`[src]

Raises self number to the floating point power of x.

`impl f32x16`[src]

`pub fn recpre(self) -> Self`[src]

Reciprocal estimate: ~= 1. / self.

FIXME: The precision of the estimate is currently unspecified.

`impl f32x16`[src]

`pub fn rsqrte(self) -> Self`[src]

Reciprocal square-root estimate: ~= 1. / self.sqrt().

FIXME: The precision of the estimate is currently unspecified.

`impl f32x16`[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 f32x16`[src]

`pub fn sqrt(self) -> Self`[src]

`impl f32x16`[src]

`pub fn sqrte(self) -> Self`[src]

Square-root estimate.

FIXME: The precision of the estimate is currently unspecified.

`impl f32x16`[src]

`pub fn tanh(self) -> Self`[src]

Tanh.

`impl f32x16`[src]

`pub fn eq(self, other: Self) -> m32x16`[src]

Lane-wise equality comparison.

`pub fn ne(self, other: Self) -> m32x16`[src]

Lane-wise inequality comparison.

`pub fn lt(self, other: Self) -> m32x16`[src]

Lane-wise less-than comparison.

`pub fn le(self, other: Self) -> m32x16`[src]

Lane-wise less-than-or-equals comparison.

`pub fn gt(self, other: Self) -> m32x16`[src]

Lane-wise greater-than comparison.

`pub fn ge(self, other: Self) -> m32x16`[src]

Lane-wise greater-than-or-equals comparison.

Trait Implementations

`impl Add<Simd<[f32; 16]>> for f32x16`[src]

`type Output = Self`

The resulting type after applying the + operator.

`fn add(self, other: Self) -> Self`[src]

Performs the + operation. Read more

`impl Add<f32> for f32x16`[src]

`type Output = Self`

The resulting type after applying the + operator.

`fn add(self, other: f32) -> Self`[src]

Performs the + operation. Read more

`impl AddAssign<Simd<[f32; 16]>> for f32x16`[src]

`fn add_assign(&mut self, other: Self)`[src]

Performs the += operation. Read more

`impl AddAssign<f32> for f32x16`[src]

`fn add_assign(&mut self, other: f32)`[src]

Performs the += operation. Read more

`impl Debug for f32x16`[src]

`fn fmt(&self, f: &mut Formatter<'_>) -> Result`[src]

Formats the value using the given formatter. Read more

`impl Default for f32x16`[src]

`fn default() -> Self`[src]

Returns the “default value” for a type. Read more

`impl Div<Simd<[f32; 16]>> for f32x16`[src]

`type Output = Self`

The resulting type after applying the / operator.

`fn div(self, other: Self) -> Self`[src]

Performs the / operation. Read more

`impl Div<f32> for f32x16`[src]

`type Output = Self`

The resulting type after applying the / operator.

`fn div(self, other: f32) -> Self`[src]

Performs the / operation. Read more

`impl DivAssign<Simd<[f32; 16]>> for f32x16`[src]

`fn div_assign(&mut self, other: Self)`[src]

Performs the /= operation. Read more

`impl DivAssign<f32> for f32x16`[src]

`fn div_assign(&mut self, other: f32)`[src]

Performs the /= operation. Read more

`impl From<[f32; 16]> for f32x16`[src]

`fn from(array: [f32; 16]) -> Self`[src]

Performs the conversion.

`impl From<Simd<[i16; 16]>> for f32x16`[src]

`fn from(source: i16x16) -> Self`[src]

Performs the conversion.

`impl From<Simd<[i8; 16]>> for f32x16`[src]

`fn from(source: i8x16) -> Self`[src]

Performs the conversion.

`impl From<Simd<[u16; 16]>> for f32x16`[src]

`fn from(source: u16x16) -> Self`[src]

Performs the conversion.

`impl From<Simd<[u8; 16]>> for f32x16`[src]