Trait core::simd::SimdFloat

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pub trait SimdFloat: Copy + Sealed {
    type Mask;
    type Scalar;
    type Bits;

Show 22 methods    // Required methods
    fn to_bits(self) -> Self::Bits;
    fn from_bits(bits: Self::Bits) -> Self;
    fn abs(self) -> Self;
    fn recip(self) -> Self;
    fn to_degrees(self) -> Self;
    fn to_radians(self) -> Self;
    fn is_sign_positive(self) -> Self::Mask;
    fn is_sign_negative(self) -> Self::Mask;
    fn is_nan(self) -> Self::Mask;
    fn is_infinite(self) -> Self::Mask;
    fn is_finite(self) -> Self::Mask;
    fn is_subnormal(self) -> Self::Mask;
    fn is_normal(self) -> Self::Mask;
    fn signum(self) -> Self;
    fn copysign(self, sign: Self) -> Self;
    fn simd_min(self, other: Self) -> Self;
    fn simd_max(self, other: Self) -> Self;
    fn simd_clamp(self, min: Self, max: Self) -> Self;
    fn reduce_sum(self) -> Self::Scalar;
    fn reduce_product(self) -> Self::Scalar;
    fn reduce_max(self) -> Self::Scalar;
    fn reduce_min(self) -> Self::Scalar;
}

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

Expand description

Operations on SIMD vectors of floats.

Required Associated Types§

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type Mask

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

Mask type used for manipulating this SIMD vector type.

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type Scalar

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

Scalar type contained by this SIMD vector type.

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type Bits

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

Bit representation of this SIMD vector type.

Required Methods§

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fn to_bits(self) -> Self::Bits

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

Raw transmutation to an unsigned integer vector type with the same size and number of lanes.

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fn from_bits(bits: Self::Bits) -> Self

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

Raw transmutation from an unsigned integer vector type with the same size and number of lanes.

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fn abs(self) -> Self

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

Produces a vector where every lane has the absolute value of the equivalently-indexed lane in self.

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fn recip(self) -> Self

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

Takes the reciprocal (inverse) of each lane, 1/x.

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fn to_degrees(self) -> Self

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

Converts each lane from radians to degrees.

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fn to_radians(self) -> Self

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

Converts each lane from degrees to radians.

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fn is_sign_positive(self) -> Self::Mask

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

Returns true for each lane if it has a positive sign, including +0.0, NaNs with positive sign bit and positive infinity.

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fn is_sign_negative(self) -> Self::Mask

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

Returns true for each lane if it has a negative sign, including -0.0, NaNs with negative sign bit and negative infinity.

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fn is_nan(self) -> Self::Mask

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

Returns true for each lane if its value is NaN.

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fn is_infinite(self) -> Self::Mask

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

Returns true for each lane if its value is positive infinity or negative infinity.

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fn is_finite(self) -> Self::Mask

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

Returns true for each lane if its value is neither infinite nor NaN.

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fn is_subnormal(self) -> Self::Mask

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

Returns true for each lane if its value is subnormal.

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fn is_normal(self) -> Self::Mask

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

Returns true for each lane if its value is neither zero, infinite, subnormal, nor NaN.

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fn signum(self) -> Self

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

Replaces each lane with a number that represents its sign.

1.0 if the number is positive, +0.0, or INFINITY
-1.0 if the number is negative, -0.0, or NEG_INFINITY
NAN if the number is NAN

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fn copysign(self, sign: Self) -> Self

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

Returns each lane with the magnitude of self and the sign of sign.

For any lane containing a NAN, a NAN with the sign of sign is returned.

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fn simd_min(self, other: Self) -> Self

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

Returns the minimum of each lane.

If one of the values is NAN, then the other value is returned.

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fn simd_max(self, other: Self) -> Self

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

Returns the maximum of each lane.

If one of the values is NAN, then the other value is returned.

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fn simd_clamp(self, min: Self, max: Self) -> Self

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

Restrict each lane to a certain interval unless it is NaN.

For each lane in self, returns the corresponding lane in max if the lane is greater than max, and the corresponding lane in min if the lane is less than min. Otherwise returns the lane in self.

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fn reduce_sum(self) -> Self::Scalar

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

Returns the sum of the lanes of the vector.

Examples

let v = f32x2::from_array([1., 2.]);
assert_eq!(v.reduce_sum(), 3.);

Run

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fn reduce_product(self) -> Self::Scalar

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

Reducing multiply. Returns the product of the lanes of the vector.

Examples

let v = f32x2::from_array([3., 4.]);
assert_eq!(v.reduce_product(), 12.);

Run

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fn reduce_max(self) -> Self::Scalar

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

Returns the maximum lane in the vector.

Returns values based on equality, so a vector containing both 0. and -0. may return either.

This function will not return NaN unless all lanes are NaN.

Examples

let v = f32x2::from_array([1., 2.]);
assert_eq!(v.reduce_max(), 2.);

// NaN values are skipped...
let v = f32x2::from_array([1., f32::NAN]);
assert_eq!(v.reduce_max(), 1.);

// ...unless all values are NaN
let v = f32x2::from_array([f32::NAN, f32::NAN]);
assert!(v.reduce_max().is_nan());

Run

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fn reduce_min(self) -> Self::Scalar

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

Returns the minimum lane in the vector.

Returns values based on equality, so a vector containing both 0. and -0. may return either.

This function will not return NaN unless all lanes are NaN.

Examples

let v = f32x2::from_array([3., 7.]);
assert_eq!(v.reduce_min(), 3.);

// NaN values are skipped...
let v = f32x2::from_array([1., f32::NAN]);
assert_eq!(v.reduce_min(), 1.);

// ...unless all values are NaN
let v = f32x2::from_array([f32::NAN, f32::NAN]);
assert!(v.reduce_min().is_nan());