- java.lang.Object
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- jdk.incubator.vector.Vector<Float>
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- jdk.incubator.vector.FloatVector
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Field Summary
Fields Modifier and Type Field Description static VectorSpecies<Float>
SPECIES_128
Species representingFloatVector
s ofVectorShape.S_128_BIT
.static VectorSpecies<Float>
SPECIES_256
Species representingFloatVector
s ofVectorShape.S_256_BIT
.static VectorSpecies<Float>
SPECIES_512
Species representingFloatVector
s ofVectorShape.S_512_BIT
.static VectorSpecies<Float>
SPECIES_64
Species representingFloatVector
s ofVectorShape.S_64_BIT
.static VectorSpecies<Float>
SPECIES_MAX
Species representingFloatVector
s ofVectorShape.S_Max_BIT
.static VectorSpecies<Float>
SPECIES_PREFERRED
Preferred species forFloatVector
s.
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Method Summary
Modifier and Type Method Description FloatVector
acos()
Calculates the arc cosine of this vector.FloatVector
acos(VectorMask<Float> m)
Calculates the arc cosine of this vector, selecting lane elements controlled by a mask.abstract FloatVector
add(float s)
Adds this vector to the broadcast of an input scalar.abstract FloatVector
add(float s, VectorMask<Float> m)
Adds this vector to broadcast of an input scalar, selecting lane elements controlled by a mask.abstract float
addLanes()
Adds all lane elements of this vector.abstract float
addLanes(VectorMask<Float> m)
Adds all lane elements of this vector, selecting lane elements controlled by a mask.FloatVector
asin()
Calculates the arc sine of this vector.FloatVector
asin(VectorMask<Float> m)
Calculates the arc sine of this vector, selecting lane elements controlled by a mask.FloatVector
atan()
Calculates the arc tangent of this vector.FloatVector
atan(VectorMask<Float> m)
Calculates the arc tangent of this vector, selecting lane elements controlled by a mask.abstract FloatVector
atan2(float s)
Calculates the arc tangent of this vector divided by the broadcast of an an input scalar.abstract FloatVector
atan2(float s, VectorMask<Float> m)
Calculates the arc tangent of this vector divided by the broadcast of an an input scalar, selecting lane elements controlled by a mask.FloatVector
atan2(Vector<Float> v)
Calculates the arc tangent of this vector divided by an input vector.FloatVector
atan2(Vector<Float> v, VectorMask<Float> m)
Calculates the arc tangent of this vector divided by an input vector, selecting lane elements controlled by a mask.abstract FloatVector
blend(float s, VectorMask<Float> m)
Blends the lane elements of this vector with those of the broadcast of an input scalar, selecting lanes controlled by a mask.static FloatVector
broadcast(VectorSpecies<Float> species, float e)
Returns a vector where all lane elements are set to the primitive valuee
.FloatVector
cbrt()
Calculates the cube root of this vector.FloatVector
cbrt(VectorMask<Float> m)
Calculates the cube root of this vector, selecting lane elements controlled by a mask.FloatVector
cos()
Calculates the trigonometric cosine of this vector.FloatVector
cos(VectorMask<Float> m)
Calculates the trigonometric cosine of this vector, selecting lane elements controlled by a mask.FloatVector
cosh()
Calculates the hyperbolic cosine of this vector.FloatVector
cosh(VectorMask<Float> m)
Calculates the hyperbolic cosine of this vector, selecting lane elements controlled by a mask.abstract FloatVector
div(float s)
Divides this vector by the broadcast of an input scalar.abstract FloatVector
div(float s, VectorMask<Float> m)
Divides this vector by the broadcast of an input scalar, selecting lane elements controlled by a mask.abstract FloatVector
div(Vector<Float> v)
Divides this vector by an input vector.abstract FloatVector
div(Vector<Float> v, VectorMask<Float> m)
Divides this vector by an input vector, selecting lane elements controlled by a mask.abstract VectorMask<Float>
equal(float s)
Tests if this vector is equal to the broadcast of an input scalar.FloatVector
exp()
Calculates the broadcast of Euler's numbere
raised to the power of this vector.FloatVector
exp(VectorMask<Float> m)
Calculates the broadcast of Euler's numbere
raised to the power of this vector, selecting lane elements controlled by a mask.FloatVector
expm1()
Calculates the broadcast of Euler's numbere
raised to the power of this vector minus the broadcast of-1
.FloatVector
expm1(VectorMask<Float> m)
Calculates the broadcast of Euler's numbere
raised to the power of this vector minus the broadcast of-1
, selecting lane elements controlled by a mask More specifically as if the following (ignoring any differences in numerical accuracy):abstract FloatVector
fma(float s1, float s2)
Calculates the product of this vector and the broadcast of a first input scalar summed with the broadcast of a second input scalar.abstract FloatVector
fma(float s1, float s2, VectorMask<Float> m)
Calculates the product of this vector and the broadcast of a first input scalar summed with the broadcast of a second input scalar, selecting lane elements controlled by a mask More specifically as if the following:abstract FloatVector
fma(Vector<Float> v1, Vector<Float> v2)
Calculates the product of this vector and a first input vector summed with a second input vector.FloatVector
fma(Vector<Float> v1, Vector<Float> v2, VectorMask<Float> m)
Calculates the product of this vector and a first input vector summed with a second input vector, selecting lane elements controlled by a mask.static FloatVector
fromArray(VectorSpecies<Float> species, float[] a, int offset)
Loads a vector from an array starting at offset.static FloatVector
fromArray(VectorSpecies<Float> species, float[] a, int a_offset, int[] indexMap, int i_offset)
Loads a vector from an array using indexes obtained from an index map.static FloatVector
fromArray(VectorSpecies<Float> species, float[] a, int offset, VectorMask<Float> m)
Loads a vector from an array starting at offset and using a mask.static FloatVector
fromArray(VectorSpecies<Float> species, float[] a, int a_offset, VectorMask<Float> m, int[] indexMap, int i_offset)
Loads a vector from an array using indexes obtained from an index map and using a mask.static FloatVector
fromByteArray(VectorSpecies<Float> species, byte[] a, int offset)
Loads a vector from a byte array starting at an offset.static FloatVector
fromByteArray(VectorSpecies<Float> species, byte[] a, int offset, VectorMask<Float> m)
Loads a vector from a byte array starting at an offset and using a mask.static FloatVector
fromByteBuffer(VectorSpecies<Float> species, ByteBuffer bb, int offset)
Loads a vector from abyte buffer
starting at an offset into the byte buffer.static FloatVector
fromByteBuffer(VectorSpecies<Float> species, ByteBuffer bb, int offset, VectorMask<Float> m)
Loads a vector from abyte buffer
starting at an offset into the byte buffer and using a mask.abstract VectorMask<Float>
greaterThan(float s)
Tests if this vector is greater than the broadcast of an input scalar.abstract VectorMask<Float>
greaterThanEq(float s)
Tests if this vector is greater than or equal to the broadcast of an input scalar.abstract FloatVector
hypot(float s)
Calculates square root of the sum of the squares of this vector and the broadcast of an input scalar.abstract FloatVector
hypot(float s, VectorMask<Float> m)
Calculates square root of the sum of the squares of this vector and the broadcast of an input scalar, selecting lane elements controlled by a mask.FloatVector
hypot(Vector<Float> v)
Calculates square root of the sum of the squares of this vector and an input vector.FloatVector
hypot(Vector<Float> v, VectorMask<Float> m)
Calculates square root of the sum of the squares of this vector and an input vector, selecting lane elements controlled by a mask.abstract void
intoArray(float[] a, int offset)
Stores this vector into an array starting at offset.abstract void
intoArray(float[] a, int a_offset, int[] indexMap, int i_offset)
Stores this vector into an array using indexes obtained from an index map.abstract void
intoArray(float[] a, int offset, VectorMask<Float> m)
Stores this vector into an array starting at offset and using a mask.abstract void
intoArray(float[] a, int a_offset, VectorMask<Float> m, int[] indexMap, int i_offset)
Stores this vector into an array using indexes obtained from an index map and using a mask.abstract float
lane(int i)
Gets the lane element at lane indexi
abstract VectorMask<Float>
lessThan(float s)
Tests if this vector is less than the broadcast of an input scalar.abstract VectorMask<Float>
lessThanEq(float s)
Tests if this vector is less or equal to the broadcast of an input scalar.FloatVector
log()
Calculates the natural logarithm of this vector.FloatVector
log(VectorMask<Float> m)
Calculates the natural logarithm of this vector, selecting lane elements controlled by a mask.FloatVector
log10()
Calculates the base 10 logarithm of this vector.FloatVector
log10(VectorMask<Float> m)
Calculates the base 10 logarithm of this vector, selecting lane elements controlled by a mask.FloatVector
log1p()
Calculates the natural logarithm of the sum of this vector and the broadcast of1
.FloatVector
log1p(VectorMask<Float> m)
Calculates the natural logarithm of the sum of this vector and the broadcast of1
, selecting lane elements controlled by a mask.abstract FloatVector
max(float s)
Returns the maximum of this vector and the broadcast of an input scalar.abstract float
maxLanes()
Returns the maximum lane element of this vector.abstract float
maxLanes(VectorMask<Float> m)
Returns the maximum lane element of this vector, selecting lane elements controlled by a mask.abstract FloatVector
min(float s)
Returns the minimum of this vector and the broadcast of an input scalar.abstract float
minLanes()
Returns the minimum lane element of this vector.abstract float
minLanes(VectorMask<Float> m)
Returns the minimum lane element of this vector, selecting lane elements controlled by a mask.abstract FloatVector
mul(float s)
Multiplies this vector with the broadcast of an input scalar.abstract FloatVector
mul(float s, VectorMask<Float> m)
Multiplies this vector with the broadcast of an input scalar, selecting lane elements controlled by a mask.abstract float
mulLanes()
Multiplies all lane elements of this vector.abstract float
mulLanes(VectorMask<Float> m)
Multiplies all lane elements of this vector, selecting lane elements controlled by a mask.abstract VectorMask<Float>
notEqual(float s)
Tests if this vector is not equal to the broadcast of an input scalar.abstract FloatVector
pow(float s)
Calculates this vector raised to the power of the broadcast of an input scalar.abstract FloatVector
pow(float s, VectorMask<Float> m)
Calculates this vector raised to the power of the broadcast of an input scalar, selecting lane elements controlled by a mask.FloatVector
pow(Vector<Float> v)
Calculates this vector raised to the power of an input vector.FloatVector
pow(Vector<Float> v, VectorMask<Float> m)
Calculates this vector raised to the power of an input vector, selecting lane elements controlled by a mask.static FloatVector
random(VectorSpecies<Float> species)
Returns a vector where each lane element is set to a randomly generated primitive value.static FloatVector
scalars(VectorSpecies<Float> species, float... es)
Returns a vector where each lane element is set to given primitive values.FloatVector
sin()
Calculates the trigonometric sine of this vector.FloatVector
sin(VectorMask<Float> m)
Calculates the trigonometric sine of this vector, selecting lane elements controlled by a mask.static FloatVector
single(VectorSpecies<Float> species, float e)
Returns a vector where the first lane element is set to the primtive valuee
, all other lane elements are set to the default value.FloatVector
sinh()
Calculates the hyperbolic sine of this vector.FloatVector
sinh(VectorMask<Float> m)
Calculates the hyperbolic sine of this vector, selecting lane elements controlled by a mask.abstract FloatVector
sqrt()
Calculates the square root of this vector.FloatVector
sqrt(VectorMask<Float> m)
Calculates the square root of this vector, selecting lane elements controlled by a mask.abstract FloatVector
sub(float s)
Subtracts the broadcast of an input scalar from this vector.abstract FloatVector
sub(float s, VectorMask<Float> m)
Subtracts the broadcast of an input scalar from this vector, selecting lane elements controlled by a mask.FloatVector
tan()
Calculates the trigonometric tangent of this vector.FloatVector
tan(VectorMask<Float> m)
Calculates the trigonometric tangent of this vector, selecting lane elements controlled by a mask.FloatVector
tanh()
Calculates the hyperbolic tangent of this vector.FloatVector
tanh(VectorMask<Float> m)
Calculates the hyperbolic tangent of this vector, selecting lane elements controlled by a mask.float[]
toArray()
Returns an array containing the lane elements of this vector.abstract FloatVector
with(int i, float e)
Replaces the lane element of this vector at lane indexi
with valuee
.static FloatVector
zero(VectorSpecies<Float> species)
Returns a vector where all lane elements are set to the default primitive value.-
Methods declared in class jdk.incubator.vector.Vector
abs, abs, add, add, bitSize, bitSizeForVectorLength, blend, cast, elementSize, elementType, equal, greaterThan, greaterThanEq, intoByteArray, intoByteArray, intoByteBuffer, intoByteBuffer, length, lessThan, lessThanEq, maskAllFalse, maskAllTrue, maskFromArray, maskFromValues, max, max, min, min, mul, mul, neg, neg, notEqual, rearrange, rearrange, reinterpret, reshape, rotateLanesLeft, rotateLanesRight, shape, shiftLanesLeft, shiftLanesRight, shuffle, shuffleFromArray, shuffleFromValues, shuffleIota, shuffleIota, shuffleOffset, species, sub, sub, toShuffle
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Field Detail
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SPECIES_64
public static final VectorSpecies<Float> SPECIES_64
Species representingFloatVector
s ofVectorShape.S_64_BIT
.
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SPECIES_128
public static final VectorSpecies<Float> SPECIES_128
Species representingFloatVector
s ofVectorShape.S_128_BIT
.
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SPECIES_256
public static final VectorSpecies<Float> SPECIES_256
Species representingFloatVector
s ofVectorShape.S_256_BIT
.
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SPECIES_512
public static final VectorSpecies<Float> SPECIES_512
Species representingFloatVector
s ofVectorShape.S_512_BIT
.
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SPECIES_MAX
public static final VectorSpecies<Float> SPECIES_MAX
Species representingFloatVector
s ofVectorShape.S_Max_BIT
.
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SPECIES_PREFERRED
public static final VectorSpecies<Float> SPECIES_PREFERRED
Preferred species forFloatVector
s. A preferred species is a species of maximal bit size for the platform.
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Method Detail
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zero
public static FloatVector zero(VectorSpecies<Float> species)
Returns a vector where all lane elements are set to the default primitive value.- Parameters:
species
- species of desired vector- Returns:
- a zero vector of given species
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fromByteArray
public static FloatVector fromByteArray(VectorSpecies<Float> species, byte[] a, int offset)
Loads a vector from a byte array starting at an offset.Bytes are composed into primitive lane elements according to the native byte order of the underlying platform
This method behaves as if it returns the result of calling the byte buffer, offset, and mask accepting
method
as follows:return fromByteBuffer(species, ByteBuffer.wrap(a), offset, VectorMask.allTrue());
- Parameters:
species
- species of desired vectora
- the byte arrayoffset
- the offset into the array- Returns:
- a vector loaded from a byte array
- Throws:
IndexOutOfBoundsException
- ifi < 0
oroffset > a.length - (species.length() * species.elementSize() / Byte.SIZE)
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fromByteArray
public static FloatVector fromByteArray(VectorSpecies<Float> species, byte[] a, int offset, VectorMask<Float> m)
Loads a vector from a byte array starting at an offset and using a mask.Bytes are composed into primitive lane elements according to the native byte order of the underlying platform.
This method behaves as if it returns the result of calling the byte buffer, offset, and mask accepting
method
as follows:return fromByteBuffer(species, ByteBuffer.wrap(a), offset, m);
- Parameters:
species
- species of desired vectora
- the byte arrayoffset
- the offset into the arraym
- the mask- Returns:
- a vector loaded from a byte array
- Throws:
IndexOutOfBoundsException
- ifoffset < 0
or for any vector lane indexN
where the mask at laneN
is setoffset >= a.length - (N * species.elementSize() / Byte.SIZE)
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fromArray
public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int offset)
Loads a vector from an array starting at offset.For each vector lane, where
N
is the vector lane index, the array element at indexoffset + N
is placed into the resulting vector at lane indexN
.- Parameters:
species
- species of desired vectora
- the arrayoffset
- the offset into the array- Returns:
- the vector loaded from an array
- Throws:
IndexOutOfBoundsException
- ifoffset < 0
, oroffset > a.length - species.length()
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fromArray
public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int offset, VectorMask<Float> m)
Loads a vector from an array starting at offset and using a mask.For each vector lane, where
N
is the vector lane index, if the mask lane at indexN
is set then the array element at indexoffset + N
is placed into the resulting vector at lane indexN
, otherwise the default element value is placed into the resulting vector at lane indexN
.- Parameters:
species
- species of desired vectora
- the arrayoffset
- the offset into the arraym
- the mask- Returns:
- the vector loaded from an array
- Throws:
IndexOutOfBoundsException
- ifoffset < 0
, or for any vector lane indexN
where the mask at laneN
is setoffset > a.length - N
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fromArray
public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int a_offset, int[] indexMap, int i_offset)
Loads a vector from an array using indexes obtained from an index map.For each vector lane, where
N
is the vector lane index, the array element at indexa_offset + indexMap[i_offset + N]
is placed into the resulting vector at lane indexN
.- Parameters:
species
- species of desired vectora
- the arraya_offset
- the offset into the array, may be negative if relative indexes in the index map compensate to produce a value within the array boundsindexMap
- the index mapi_offset
- the offset into the index map- Returns:
- the vector loaded from an array
- Throws:
IndexOutOfBoundsException
- ifi_offset < 0
, ori_offset > indexMap.length - species.length()
, or for any vector lane indexN
the result ofa_offset + indexMap[i_offset + N]
is< 0
or>= a.length
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fromArray
public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int a_offset, VectorMask<Float> m, int[] indexMap, int i_offset)
Loads a vector from an array using indexes obtained from an index map and using a mask.For each vector lane, where
N
is the vector lane index, if the mask lane at indexN
is set then the array element at indexa_offset + indexMap[i_offset + N]
is placed into the resulting vector at lane indexN
.- Parameters:
species
- species of desired vectora
- the arraya_offset
- the offset into the array, may be negative if relative indexes in the index map compensate to produce a value within the array boundsm
- the maskindexMap
- the index mapi_offset
- the offset into the index map- Returns:
- the vector loaded from an array
- Throws:
IndexOutOfBoundsException
- ifi_offset < 0
, ori_offset > indexMap.length - species.length()
, or for any vector lane indexN
where the mask at laneN
is set the result ofa_offset + indexMap[i_offset + N]
is< 0
or>= a.length
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fromByteBuffer
public static FloatVector fromByteBuffer(VectorSpecies<Float> species, ByteBuffer bb, int offset)
Loads a vector from abyte buffer
starting at an offset into the byte buffer.Bytes are composed into primitive lane elements according to the native byte order of the underlying platform.
This method behaves as if it returns the result of calling the byte buffer, offset, and mask accepting
fromByteBuffer(VectorSpecies, ByteBuffer, int, VectorMask)
method} as follows:return fromByteBuffer(b, offset, VectorMask.allTrue())
- Parameters:
species
- species of desired vectorbb
- the byte bufferoffset
- the offset into the byte buffer- Returns:
- a vector loaded from a byte buffer
- Throws:
IndexOutOfBoundsException
- if the offset is< 0
, or> b.limit()
, or if there are fewer thanspecies.length() * species.elementSize() / Byte.SIZE
bytes remaining in the byte buffer from the given offset
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fromByteBuffer
public static FloatVector fromByteBuffer(VectorSpecies<Float> species, ByteBuffer bb, int offset, VectorMask<Float> m)
Loads a vector from abyte buffer
starting at an offset into the byte buffer and using a mask.This method behaves as if the byte buffer is viewed as a primitive
buffer
for the primitive element type, according to the native byte order of the underlying platform, and the returned vector is loaded with a mask from a primitive array obtained from the primitive buffer. The following pseudocode expresses the behaviour, whereEBuffer
is the primitive buffer type,e
is the primitive element type, andESpecies
is the primitive species fore
:EBuffer eb = b.duplicate(). order(ByteOrder.nativeOrder()).position(offset). asEBuffer(); e[] es = new e[species.length()]; for (int n = 0; n < t.length; n++) { if (m.isSet(n)) es[n] = eb.get(n); } EVector r = EVector.fromArray(es, 0, m);
- Parameters:
species
- species of desired vectorbb
- the byte bufferoffset
- the offset into the byte bufferm
- the mask- Returns:
- a vector loaded from a byte buffer
- Throws:
IndexOutOfBoundsException
- if the offset is< 0
, or> b.limit()
, for any vector lane indexN
where the mask at laneN
is setoffset >= b.limit() - (N * species.elementSize() / Byte.SIZE)
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broadcast
public static FloatVector broadcast(VectorSpecies<Float> species, float e)
Returns a vector where all lane elements are set to the primitive valuee
.- Parameters:
species
- species of the desired vectore
- the value to be broadcasted- Returns:
- a vector of vector where all lane elements are set to
the primitive value
e
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scalars
public static FloatVector scalars(VectorSpecies<Float> species, float... es)
Returns a vector where each lane element is set to given primitive values.For each vector lane, where
N
is the vector lane index, the the primitive value at indexN
is placed into the resulting vector at lane indexN
.- Parameters:
species
- species of the desired vectores
- the given primitive values- Returns:
- a vector where each lane element is set to given primitive values
- Throws:
IndexOutOfBoundsException
- ifes.length < species.length()
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single
public static final FloatVector single(VectorSpecies<Float> species, float e)
Returns a vector where the first lane element is set to the primtive valuee
, all other lane elements are set to the default value.- Parameters:
species
- species of the desired vectore
- the value- Returns:
- a vector where the first lane element is set to the primitive
value
e
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random
public static FloatVector random(VectorSpecies<Float> species)
Returns a vector where each lane element is set to a randomly generated primitive value. The semantics are equivalent to callingThreadLocalRandom.nextFloat()
- Parameters:
species
- species of the desired vector- Returns:
- a vector where each lane elements is set to a randomly generated primitive value
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add
public abstract FloatVector add(float s)
Adds this vector to the broadcast of an input scalar.This is a lane-wise binary operation which applies the primitive addition operation (
+
) to each lane.- Parameters:
s
- the input scalar- Returns:
- the result of adding this vector to the broadcast of an input scalar
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add
public abstract FloatVector add(float s, VectorMask<Float> m)
Adds this vector to broadcast of an input scalar, selecting lane elements controlled by a mask.This is a lane-wise binary operation which applies the primitive addition operation (
+
) to each lane.- Parameters:
s
- the input scalarm
- the mask controlling lane selection- Returns:
- the result of adding this vector to the broadcast of an input scalar
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sub
public abstract FloatVector sub(float s)
Subtracts the broadcast of an input scalar from this vector.This is a lane-wise binary operation which applies the primitive subtraction operation (
-
) to each lane.- Parameters:
s
- the input scalar- Returns:
- the result of subtracting the broadcast of an input scalar from this vector
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sub
public abstract FloatVector sub(float s, VectorMask<Float> m)
Subtracts the broadcast of an input scalar from this vector, selecting lane elements controlled by a mask.This is a lane-wise binary operation which applies the primitive subtraction operation (
-
) to each lane.- Parameters:
s
- the input scalarm
- the mask controlling lane selection- Returns:
- the result of subtracting the broadcast of an input scalar from this vector
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mul
public abstract FloatVector mul(float s)
Multiplies this vector with the broadcast of an input scalar.This is a lane-wise binary operation which applies the primitive multiplication operation (
*
) to each lane.- Parameters:
s
- the input scalar- Returns:
- the result of multiplying this vector with the broadcast of an input scalar
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mul
public abstract FloatVector mul(float s, VectorMask<Float> m)
Multiplies this vector with the broadcast of an input scalar, selecting lane elements controlled by a mask.This is a lane-wise binary operation which applies the primitive multiplication operation (
*
) to each lane.- Parameters:
s
- the input scalarm
- the mask controlling lane selection- Returns:
- the result of multiplying this vector with the broadcast of an input scalar
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min
public abstract FloatVector min(float s)
Returns the minimum of this vector and the broadcast of an input scalar.This is a lane-wise binary operation which applies the operation
(a, b) -> Math.min(a, b)
to each lane.- Parameters:
s
- the input scalar- Returns:
- the minimum of this vector and the broadcast of an input scalar
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max
public abstract FloatVector max(float s)
Returns the maximum of this vector and the broadcast of an input scalar.This is a lane-wise binary operation which applies the operation
(a, b) -> Math.max(a, b)
to each lane.- Parameters:
s
- the input scalar- Returns:
- the maximum of this vector and the broadcast of an input scalar
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equal
public abstract VectorMask<Float> equal(float s)
Tests if this vector is equal to the broadcast of an input scalar.This is a lane-wise binary test operation which applies the primitive equals operation (
==
) each lane.- Parameters:
s
- the input scalar- Returns:
- the result mask of testing if this vector is equal to the broadcast of an input scalar
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notEqual
public abstract VectorMask<Float> notEqual(float s)
Tests if this vector is not equal to the broadcast of an input scalar.This is a lane-wise binary test operation which applies the primitive not equals operation (
!=
) to each lane.- Parameters:
s
- the input scalar- Returns:
- the result mask of testing if this vector is not equal to the broadcast of an input scalar
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lessThan
public abstract VectorMask<Float> lessThan(float s)
Tests if this vector is less than the broadcast of an input scalar.This is a lane-wise binary test operation which applies the primitive less than operation (
<
) to each lane.- Parameters:
s
- the input scalar- Returns:
- the mask result of testing if this vector is less than the broadcast of an input scalar
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lessThanEq
public abstract VectorMask<Float> lessThanEq(float s)
Tests if this vector is less or equal to the broadcast of an input scalar.This is a lane-wise binary test operation which applies the primitive less than or equal to operation (
<=
) to each lane.- Parameters:
s
- the input scalar- Returns:
- the mask result of testing if this vector is less than or equal to the broadcast of an input scalar
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greaterThan
public abstract VectorMask<Float> greaterThan(float s)
Tests if this vector is greater than the broadcast of an input scalar.This is a lane-wise binary test operation which applies the primitive greater than operation (
>
) to each lane.- Parameters:
s
- the input scalar- Returns:
- the mask result of testing if this vector is greater than the broadcast of an input scalar
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greaterThanEq
public abstract VectorMask<Float> greaterThanEq(float s)
Tests if this vector is greater than or equal to the broadcast of an input scalar.This is a lane-wise binary test operation which applies the primitive greater than or equal to operation (
>=
) to each lane.- Parameters:
s
- the input scalar- Returns:
- the mask result of testing if this vector is greater than or equal to the broadcast of an input scalar
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blend
public abstract FloatVector blend(float s, VectorMask<Float> m)
Blends the lane elements of this vector with those of the broadcast of an input scalar, selecting lanes controlled by a mask.For each lane of the mask, at lane index
N
, if the mask lane is set then the lane element atN
from the input vector is selected and placed into the resulting vector atN
, otherwise the the lane element atN
from this input vector is selected and placed into the resulting vector atN
.- Parameters:
s
- the input scalarm
- the mask controlling lane selection- Returns:
- the result of blending the lane elements of this vector with those of the broadcast of an input scalar
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div
public abstract FloatVector div(Vector<Float> v)
Divides this vector by an input vector.This is a lane-wise binary operation which applies the primitive division operation (
/
) to each lane.- Parameters:
v
- the input vector- Returns:
- the result of dividing this vector by the input vector
-
div
public abstract FloatVector div(float s)
Divides this vector by the broadcast of an input scalar.This is a lane-wise binary operation which applies the primitive division operation (
/
) to each lane.- Parameters:
s
- the input scalar- Returns:
- the result of dividing this vector by the broadcast of an input scalar
-
div
public abstract FloatVector div(Vector<Float> v, VectorMask<Float> m)
Divides this vector by an input vector, selecting lane elements controlled by a mask.This is a lane-wise binary operation which applies the primitive division operation (
/
) to each lane.- Parameters:
v
- the input vectorm
- the mask controlling lane selection- Returns:
- the result of dividing this vector by the input vector
-
div
public abstract FloatVector div(float s, VectorMask<Float> m)
Divides this vector by the broadcast of an input scalar, selecting lane elements controlled by a mask.This is a lane-wise binary operation which applies the primitive division operation (
/
) to each lane.- Parameters:
s
- the input scalarm
- the mask controlling lane selection- Returns:
- the result of dividing this vector by the broadcast of an input scalar
-
sqrt
public abstract FloatVector sqrt()
Calculates the square root of this vector.This is a lane-wise unary operation which applies the
Math.sqrt(double)
operation to each lane.- Returns:
- the square root of this vector
-
sqrt
public FloatVector sqrt(VectorMask<Float> m)
Calculates the square root of this vector, selecting lane elements controlled by a mask.This is a lane-wise unary operation which applies the
Math.sqrt(double)
operation to each lane.- Parameters:
m
- the mask controlling lane selection- Returns:
- the square root of this vector
-
tan
public FloatVector tan()
Calculates the trigonometric tangent of this vector.This is a lane-wise unary operation with same semantic definition as
Math.tan(double)
operation applied to each lane. The implementation is not required to return same results asMath.tan(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.tan(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the tangent of this vector
-
tan
public FloatVector tan(VectorMask<Float> m)
Calculates the trigonometric tangent of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
tan()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the tangent of this vector
-
tanh
public FloatVector tanh()
Calculates the hyperbolic tangent of this vector.This is a lane-wise unary operation with same semantic definition as
Math.tanh(double)
operation applied to each lane. The implementation is not required to return same results asMath.tanh(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.tanh(double)
specifications. The computed result will be within 2.5 ulps of the exact result.- Returns:
- the hyperbolic tangent of this vector
-
tanh
public FloatVector tanh(VectorMask<Float> m)
Calculates the hyperbolic tangent of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
tanh()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the hyperbolic tangent of this vector
-
sin
public FloatVector sin()
Calculates the trigonometric sine of this vector.This is a lane-wise unary operation with same semantic definition as
Math.sin(double)
operation applied to each lane. The implementation is not required to return same results asMath.sin(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.sin(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the sine of this vector
-
sin
public FloatVector sin(VectorMask<Float> m)
Calculates the trigonometric sine of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
sin()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the sine of this vector
-
sinh
public FloatVector sinh()
Calculates the hyperbolic sine of this vector.This is a lane-wise unary operation with same semantic definition as
Math.sinh(double)
operation applied to each lane. The implementation is not required to return same results asMath.sinh(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.sinh(double)
specifications. The computed result will be within 2.5 ulps of the exact result.- Returns:
- the hyperbolic sine of this vector
-
sinh
public FloatVector sinh(VectorMask<Float> m)
Calculates the hyperbolic sine of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
sinh()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the hyperbolic sine of this vector
-
cos
public FloatVector cos()
Calculates the trigonometric cosine of this vector.This is a lane-wise unary operation with same semantic definition as
Math.cos(double)
operation applied to each lane. The implementation is not required to return same results asMath.cos(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.cos(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the cosine of this vector
-
cos
public FloatVector cos(VectorMask<Float> m)
Calculates the trigonometric cosine of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
cos()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the cosine of this vector
-
cosh
public FloatVector cosh()
Calculates the hyperbolic cosine of this vector.This is a lane-wise unary operation with same semantic definition as
Math.cosh(double)
operation applied to each lane. The implementation is not required to return same results asMath.cosh(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.cosh(double)
specifications. The computed result will be within 2.5 ulps of the exact result.- Returns:
- the hyperbolic cosine of this vector
-
cosh
public FloatVector cosh(VectorMask<Float> m)
Calculates the hyperbolic cosine of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
cosh()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the hyperbolic cosine of this vector
-
asin
public FloatVector asin()
Calculates the arc sine of this vector.This is a lane-wise unary operation with same semantic definition as
Math.asin(double)
operation applied to each lane. The implementation is not required to return same results asMath.asin(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.asin(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the arc sine of this vector
-
asin
public FloatVector asin(VectorMask<Float> m)
Calculates the arc sine of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
asin()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the arc sine of this vector
-
acos
public FloatVector acos()
Calculates the arc cosine of this vector.This is a lane-wise unary operation with same semantic definition as
Math.acos(double)
operation applied to each lane. The implementation is not required to return same results asMath.acos(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.acos(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the arc cosine of this vector
-
acos
public FloatVector acos(VectorMask<Float> m)
Calculates the arc cosine of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
acos()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the arc cosine of this vector
-
atan
public FloatVector atan()
Calculates the arc tangent of this vector.This is a lane-wise unary operation with same semantic definition as
Math.atan(double)
operation applied to each lane. The implementation is not required to return same results asMath.atan(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.atan(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the arc tangent of this vector
-
atan
public FloatVector atan(VectorMask<Float> m)
Calculates the arc tangent of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
atan()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the arc tangent of this vector
-
atan2
public FloatVector atan2(Vector<Float> v)
Calculates the arc tangent of this vector divided by an input vector.This is a lane-wise binary operation with same semantic definition as
Math.atan2(double, double)
operation applied to each lane. The implementation is not required to return same results asMath.atan2(double, double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.atan2(double, double)
specifications. The computed result will be within 2 ulps of the exact result.- Parameters:
v
- the input vector- Returns:
- the arc tangent of this vector divided by the input vector
-
atan2
public abstract FloatVector atan2(float s)
Calculates the arc tangent of this vector divided by the broadcast of an an input scalar.This is a lane-wise binary operation with same semantic definition as
Math.atan2(double, double)
operation applied to each lane. The implementation is not required to return same results asMath.atan2(double, double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.atan2(double, double)
specifications. The computed result will be within 1 ulp of the exact result.- Parameters:
s
- the input scalar- Returns:
- the arc tangent of this vector over the input vector
-
atan2
public FloatVector atan2(Vector<Float> v, VectorMask<Float> m)
Calculates the arc tangent of this vector divided by an input vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
atan2(jdk.incubator.vector.Vector<java.lang.Float>)
- Parameters:
v
- the input vectorm
- the mask controlling lane selection- Returns:
- the arc tangent of this vector divided by the input vector
-
atan2
public abstract FloatVector atan2(float s, VectorMask<Float> m)
Calculates the arc tangent of this vector divided by the broadcast of an an input scalar, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
atan2(jdk.incubator.vector.Vector<java.lang.Float>)
- Parameters:
s
- the input scalarm
- the mask controlling lane selection- Returns:
- the arc tangent of this vector over the input vector
-
cbrt
public FloatVector cbrt()
Calculates the cube root of this vector.This is a lane-wise unary operation with same semantic definition as
Math.cbrt(double)
operation applied to each lane. The implementation is not required to return same results asMath.cbrt(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.cbrt(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the cube root of this vector
-
cbrt
public FloatVector cbrt(VectorMask<Float> m)
Calculates the cube root of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
cbrt()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the cube root of this vector
-
log
public FloatVector log()
Calculates the natural logarithm of this vector.This is a lane-wise unary operation with same semantic definition as
Math.log(double)
operation applied to each lane. The implementation is not required to return same results asMath.log(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.log(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the natural logarithm of this vector
-
log
public FloatVector log(VectorMask<Float> m)
Calculates the natural logarithm of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
log()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the natural logarithm of this vector
-
log10
public FloatVector log10()
Calculates the base 10 logarithm of this vector.This is a lane-wise unary operation with same semantic definition as
Math.log10(double)
operation applied to each lane. The implementation is not required to return same results asMath.log10(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.log10(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the base 10 logarithm of this vector
-
log10
public FloatVector log10(VectorMask<Float> m)
Calculates the base 10 logarithm of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
log10()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the base 10 logarithm of this vector
-
log1p
public FloatVector log1p()
Calculates the natural logarithm of the sum of this vector and the broadcast of1
.This is a lane-wise unary operation with same semantic definition as
Math.log1p(double)
operation applied to each lane. The implementation is not required to return same results asMath.log1p(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.log1p(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the natural logarithm of the sum of this vector and the broadcast
of
1
-
log1p
public FloatVector log1p(VectorMask<Float> m)
Calculates the natural logarithm of the sum of this vector and the broadcast of1
, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
log1p()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the natural logarithm of the sum of this vector and the broadcast
of
1
-
pow
public FloatVector pow(Vector<Float> v)
Calculates this vector raised to the power of an input vector.This is a lane-wise binary operation with same semantic definition as
Math.pow(double, double)
operation applied to each lane. The implementation is not required to return same results asMath.pow(double, double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.pow(double, double)
specifications. The computed result will be within 1 ulp of the exact result.- Parameters:
v
- the input vector- Returns:
- this vector raised to the power of an input vector
-
pow
public abstract FloatVector pow(float s)
Calculates this vector raised to the power of the broadcast of an input scalar.This is a lane-wise binary operation with same semantic definition as
Math.pow(double, double)
operation applied to each lane. The implementation is not required to return same results asMath.pow(double, double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.pow(double, double)
specifications. The computed result will be within 1 ulp of the exact result.- Parameters:
s
- the input scalar- Returns:
- this vector raised to the power of the broadcast of an input scalar.
-
pow
public FloatVector pow(Vector<Float> v, VectorMask<Float> m)
Calculates this vector raised to the power of an input vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
pow(jdk.incubator.vector.Vector<java.lang.Float>)
- Parameters:
v
- the input vectorm
- the mask controlling lane selection- Returns:
- this vector raised to the power of an input vector
-
pow
public abstract FloatVector pow(float s, VectorMask<Float> m)
Calculates this vector raised to the power of the broadcast of an input scalar, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
pow(jdk.incubator.vector.Vector<java.lang.Float>)
- Parameters:
s
- the input scalarm
- the mask controlling lane selection- Returns:
- this vector raised to the power of the broadcast of an input scalar.
-
exp
public FloatVector exp()
Calculates the broadcast of Euler's numbere
raised to the power of this vector.This is a lane-wise unary operation with same semantic definition as
Math.exp(double)
operation applied to each lane. The implementation is not required to return same results asMath.exp(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.exp(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the broadcast of Euler's number
e
raised to the power of this vector
-
exp
public FloatVector exp(VectorMask<Float> m)
Calculates the broadcast of Euler's numbere
raised to the power of this vector, selecting lane elements controlled by a mask.Semantics for rounding, monotonicity, and special cases are described in
exp()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the broadcast of Euler's number
e
raised to the power of this vector
-
expm1
public FloatVector expm1()
Calculates the broadcast of Euler's numbere
raised to the power of this vector minus the broadcast of-1
. More specifically as if the following (ignoring any differences in numerical accuracy):this.exp().sub(EVector.broadcast(this.species(), 1))
This is a lane-wise unary operation with same semantic definition as
Math.expm1(double)
operation applied to each lane. The implementation is not required to return same results asMath.expm1(double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.expm1(double)
specifications. The computed result will be within 1 ulp of the exact result.- Returns:
- the broadcast of Euler's number
e
raised to the power of this vector minus the broadcast of-1
-
expm1
public FloatVector expm1(VectorMask<Float> m)
Calculates the broadcast of Euler's numbere
raised to the power of this vector minus the broadcast of-1
, selecting lane elements controlled by a mask More specifically as if the following (ignoring any differences in numerical accuracy):this.exp(m).sub(EVector.broadcast(this.species(), 1), m)
Semantics for rounding, monotonicity, and special cases are described in
expm1()
- Parameters:
m
- the mask controlling lane selection- Returns:
- the broadcast of Euler's number
e
raised to the power of this vector minus the broadcast of-1
-
fma
public abstract FloatVector fma(Vector<Float> v1, Vector<Float> v2)
Calculates the product of this vector and a first input vector summed with a second input vector. More specifically as if the following (ignoring any differences in numerical accuracy):this.mul(v1).add(v2)
This is a lane-wise ternary operation which applies the
Math.fma(double, double, double)
operation to each lane.- Parameters:
v1
- the first input vectorv2
- the second input vector- Returns:
- the product of this vector and the first input vector summed with the second input vector
-
fma
public abstract FloatVector fma(float s1, float s2)
Calculates the product of this vector and the broadcast of a first input scalar summed with the broadcast of a second input scalar. More specifically as if the following:this.fma(EVector.broadcast(this.species(), s1), EVector.broadcast(this.species(), s2))
This is a lane-wise ternary operation which applies the
Math.fma(double, double, double)
operation to each lane.- Parameters:
s1
- the first input scalars2
- the second input scalar- Returns:
- the product of this vector and the broadcast of a first input scalar summed with the broadcast of a second input scalar
-
fma
public FloatVector fma(Vector<Float> v1, Vector<Float> v2, VectorMask<Float> m)
Calculates the product of this vector and a first input vector summed with a second input vector, selecting lane elements controlled by a mask. More specifically as if the following (ignoring any differences in numerical accuracy):this.mul(v1, m).add(v2, m)
This is a lane-wise ternary operation which applies the
Math.fma(double, double, double)
operation to each lane.- Parameters:
v1
- the first input vectorv2
- the second input vectorm
- the mask controlling lane selection- Returns:
- the product of this vector and the first input vector summed with the second input vector
-
fma
public abstract FloatVector fma(float s1, float s2, VectorMask<Float> m)
Calculates the product of this vector and the broadcast of a first input scalar summed with the broadcast of a second input scalar, selecting lane elements controlled by a mask More specifically as if the following:this.fma(EVector.broadcast(this.species(), s1), EVector.broadcast(this.species(), s2), m)
This is a lane-wise ternary operation which applies the
Math.fma(double, double, double)
operation to each lane.- Parameters:
s1
- the first input scalars2
- the second input scalarm
- the mask controlling lane selection- Returns:
- the product of this vector and the broadcast of a first input scalar summed with the broadcast of a second input scalar
-
hypot
public FloatVector hypot(Vector<Float> v)
Calculates square root of the sum of the squares of this vector and an input vector. More specifically as if the following (ignoring any differences in numerical accuracy):this.mul(this).add(v.mul(v)).sqrt()
This is a lane-wise binary operation with same semantic definition as
Math.hypot(double, double)
operation applied to each lane. The implementation is not required to return same results asMath.hypot(double, double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.hypot(double, double)
specifications. The computed result will be within 1 ulp of the exact result.- Parameters:
v
- the input vector- Returns:
- square root of the sum of the squares of this vector and an input vector
-
hypot
public abstract FloatVector hypot(float s)
Calculates square root of the sum of the squares of this vector and the broadcast of an input scalar. More specifically as if the following (ignoring any differences in numerical accuracy):this.mul(this).add(EVector.broadcast(this.species(), s * s)).sqrt()
This is a lane-wise binary operation with same semantic definition as
Math.hypot(double, double)
operation applied to each. The implementation is not required to return same results asMath.hypot(double, double)
, but adheres to rounding, monotonicity, and special case semantics as defined in theMath.hypot(double, double)
specifications. The computed result will be within 1 ulp of the exact result.- Parameters:
s
- the input scalar- Returns:
- square root of the sum of the squares of this vector and the broadcast of an input scalar
-
hypot
public FloatVector hypot(Vector<Float> v, VectorMask<Float> m)
Calculates square root of the sum of the squares of this vector and an input vector, selecting lane elements controlled by a mask. More specifically as if the following (ignoring any differences in numerical accuracy):this.mul(this, m).add(v.mul(v), m).sqrt(m)
Semantics for rounding, monotonicity, and special cases are described in
hypot(jdk.incubator.vector.Vector<java.lang.Float>)
- Parameters:
v
- the input vectorm
- the mask controlling lane selection- Returns:
- square root of the sum of the squares of this vector and an input vector
-
hypot
public abstract FloatVector hypot(float s, VectorMask<Float> m)
Calculates square root of the sum of the squares of this vector and the broadcast of an input scalar, selecting lane elements controlled by a mask. More specifically as if the following (ignoring any differences in numerical accuracy):this.mul(this, m).add(EVector.broadcast(this.species(), s * s), m).sqrt(m)
Semantics for rounding, monotonicity, and special cases are described in
hypot(jdk.incubator.vector.Vector<java.lang.Float>)
- Parameters:
s
- the input scalarm
- the mask controlling lane selection- Returns:
- square root of the sum of the squares of this vector and the broadcast of an input scalar
-
addLanes
public abstract float addLanes()
Adds all lane elements of this vector.This is a cross-lane reduction operation which applies the addition operation (
+
) to lane elements, and the identity value is0.0
.The value of a floating-point sum is a function both of the input values as well as the order of addition operations. The order of addition operations of this method is intentionally not defined to allow for JVM to generate optimal machine code for the underlying platform at runtime. If the platform supports a vector instruction to add all values in the vector, or if there is some other efficient machine code sequence, then the JVM has the option of generating this machine code. Otherwise, the default implementation of adding vectors sequentially from left to right is used. For this reason, the output of this method may vary for the same input values.
- Returns:
- the addition of all the lane elements of this vector
-
addLanes
public abstract float addLanes(VectorMask<Float> m)
Adds all lane elements of this vector, selecting lane elements controlled by a mask.This is a cross-lane reduction operation which applies the addition operation (
+
) to lane elements, and the identity value is0.0
.The value of a floating-point sum is a function both of the input values as well as the order of addition operations. The order of addition operations of this method is intentionally not defined to allow for JVM to generate optimal machine code for the underlying platform at runtime. If the platform supports a vector instruction to add all values in the vector, or if there is some other efficient machine code sequence, then the JVM has the option of generating this machine code. Otherwise, the default implementation of adding vectors sequentially from left to right is used. For this reason, the output of this method may vary on the same input values.
- Parameters:
m
- the mask controlling lane selection- Returns:
- the addition of the selected lane elements of this vector
-
mulLanes
public abstract float mulLanes()
Multiplies all lane elements of this vector.This is a cross-lane reduction operation which applies the multiplication operation (
*
) to lane elements, and the identity value is1.0
.The order of multiplication operations of this method is intentionally not defined to allow for JVM to generate optimal machine code for the underlying platform at runtime. If the platform supports a vector instruction to multiply all values in the vector, or if there is some other efficient machine code sequence, then the JVM has the option of generating this machine code. Otherwise, the default implementation of multiplying vectors sequentially from left to right is used. For this reason, the output of this method may vary on the same input values.
- Returns:
- the multiplication of all the lane elements of this vector
-
mulLanes
public abstract float mulLanes(VectorMask<Float> m)
Multiplies all lane elements of this vector, selecting lane elements controlled by a mask.This is a cross-lane reduction operation which applies the multiplication operation (
*
) to lane elements, and the identity value is1.0
.The order of multiplication operations of this method is intentionally not defined to allow for JVM to generate optimal machine code for the underlying platform at runtime. If the platform supports a vector instruction to multiply all values in the vector, or if there is some other efficient machine code sequence, then the JVM has the option of generating this machine code. Otherwise, the default implementation of multiplying vectors sequentially from left to right is used. For this reason, the output of this method may vary on the same input values.
- Parameters:
m
- the mask controlling lane selection- Returns:
- the multiplication of all the lane elements of this vector
-
minLanes
public abstract float minLanes()
Returns the minimum lane element of this vector.This is an associative cross-lane reduction operation which applies the operation
(a, b) -> Math.min(a, b)
to lane elements, and the identity value isFloat.POSITIVE_INFINITY
.- Returns:
- the minimum lane element of this vector
-
minLanes
public abstract float minLanes(VectorMask<Float> m)
Returns the minimum lane element of this vector, selecting lane elements controlled by a mask.This is an associative cross-lane reduction operation which applies the operation
(a, b) -> Math.min(a, b)
to lane elements, and the identity value isFloat.POSITIVE_INFINITY
.- Parameters:
m
- the mask controlling lane selection- Returns:
- the minimum lane element of this vector
-
maxLanes
public abstract float maxLanes()
Returns the maximum lane element of this vector.This is an associative cross-lane reduction operation which applies the operation
(a, b) -> Math.max(a, b)
to lane elements, and the identity value isFloat.NEGATIVE_INFINITY
.- Returns:
- the maximum lane element of this vector
-
maxLanes
public abstract float maxLanes(VectorMask<Float> m)
Returns the maximum lane element of this vector, selecting lane elements controlled by a mask.This is an associative cross-lane reduction operation which applies the operation
(a, b) -> Math.max(a, b)
to lane elements, and the identity value isFloat.NEGATIVE_INFINITY
.- Parameters:
m
- the mask controlling lane selection- Returns:
- the maximum lane element of this vector
-
lane
public abstract float lane(int i)
Gets the lane element at lane indexi
- Parameters:
i
- the lane index- Returns:
- the lane element at lane index
i
- Throws:
IllegalArgumentException
- if the index is is out of range (< 0 || >= length()
)
-
with
public abstract FloatVector with(int i, float e)
Replaces the lane element of this vector at lane indexi
with valuee
.This is a cross-lane operation and behaves as if it returns the result of blending this vector with an input vector that is the result of broadcasting
e
and a mask that has only one lane set at lane indexi
.- Parameters:
i
- the lane index of the lane element to be replacede
- the value to be placed- Returns:
- the result of replacing the lane element of this vector at lane
index
i
with valuee
. - Throws:
IllegalArgumentException
- if the index is is out of range (< 0 || >= length()
)
-
toArray
public final float[] toArray()
Returns an array containing the lane elements of this vector.This method behaves as if it
intoArray(float[], int)
stores} this vector into an allocated array and returns the array as follows:float[] a = new float[this.length()]; this.intoArray(a, 0); return a;
- Returns:
- an array containing the the lane elements of this vector
-
intoArray
public abstract void intoArray(float[] a, int offset)
Stores this vector into an array starting at offset.For each vector lane, where
N
is the vector lane index, the lane element at indexN
is stored into the array at indexoffset + N
.- Parameters:
a
- the arrayoffset
- the offset into the array- Throws:
IndexOutOfBoundsException
- ifoffset < 0
, oroffset > a.length - this.length()
-
intoArray
public abstract void intoArray(float[] a, int offset, VectorMask<Float> m)
Stores this vector into an array starting at offset and using a mask.For each vector lane, where
N
is the vector lane index, if the mask lane at indexN
is set then the lane element at indexN
is stored into the array indexoffset + N
.- Parameters:
a
- the arrayoffset
- the offset into the arraym
- the mask- Throws:
IndexOutOfBoundsException
- ifoffset < 0
, or for any vector lane indexN
where the mask at laneN
is setoffset >= a.length - N
-
intoArray
public abstract void intoArray(float[] a, int a_offset, int[] indexMap, int i_offset)
Stores this vector into an array using indexes obtained from an index map.For each vector lane, where
N
is the vector lane index, the lane element at indexN
is stored into the array at indexa_offset + indexMap[i_offset + N]
.- Parameters:
a
- the arraya_offset
- the offset into the array, may be negative if relative indexes in the index map compensate to produce a value within the array boundsindexMap
- the index mapi_offset
- the offset into the index map- Throws:
IndexOutOfBoundsException
- ifi_offset < 0
, ori_offset > indexMap.length - this.length()
, or for any vector lane indexN
the result ofa_offset + indexMap[i_offset + N]
is< 0
or>= a.length
-
intoArray
public abstract void intoArray(float[] a, int a_offset, VectorMask<Float> m, int[] indexMap, int i_offset)
Stores this vector into an array using indexes obtained from an index map and using a mask.For each vector lane, where
N
is the vector lane index, if the mask lane at indexN
is set then the lane element at indexN
is stored into the array at indexa_offset + indexMap[i_offset + N]
.- Parameters:
a
- the arraya_offset
- the offset into the array, may be negative if relative indexes in the index map compensate to produce a value within the array boundsm
- the maskindexMap
- the index mapi_offset
- the offset into the index map- Throws:
IndexOutOfBoundsException
- ifj < 0
, ori_offset > indexMap.length - this.length()
, or for any vector lane indexN
where the mask at laneN
is set the result ofa_offset + indexMap[i_offset + N]
is< 0
or>= a.length
-
-