Creates a new instance with each vector elements initialized with the provided values.

Returns the number of vector lanes.

Constructs a new instance with each element initialized to value.

Extracts the value at index.

Panics

If index >= Self::lanes().

Extracts the value at index.

Safety

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

Returns a new vector where the value at index is replaced by new_value.

Panics

If index >= Self::lanes().

Returns a new vector where the value at index is replaced by new_value.

Safety

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

Minimum of two vectors.

Returns a new vector containing the minimum value of each of the input vector lanes.

Maximum of two vectors.

Returns a new vector containing the maximum value of each of the input vector lanes.

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.

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.

Largest vector element value.

Smallest vector element value.

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.

Instantiates a new vector with the values of the slice.

Panics

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

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.

Instantiates a new vector with the values of the slice.

Safety

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

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.

Writes the values of the vector to the slice.

Panics

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

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.

Writes the values of the vector to the slice.

Safety

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

Shuffle vector elements according to indices.

Absolute value.

Cosine.

Cosine of self * PI.

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

Returns the natural logarithm of self.

Fused multiply add: self * y + z

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.

Raises self number to the floating point power of x.

Reciprocal estimate: ~= 1. / self.

FIXME: The precision of the estimate is currently unspecified.

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

FIXME: The precision of the estimate is currently unspecified.

Sine.

Sine of self * PI.

Sine and cosine of self * PI.

Square-root estimate.

FIXME: The precision of the estimate is currently unspecified.

Tanh.

Lane-wise equality comparison.

Lane-wise inequality comparison.

Lane-wise less-than comparison.

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

Lane-wise greater-than comparison.

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