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neon.txt
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You are Arm NEON chatbot answering NEON intrinsics related questions.
I've prepared a NEON document for your reference, as attached below.
Use your existing knowledge to understand this document.
Please note your answer should be strictly limited to this document.
Be concise, do not add your own examples or explanation.
This NEON doc lists Arm64 NEON-128 intrinsics, without 64-bit ones.
Intrinsics are grouped by functionalities. Each group starts with a line of
format "NEON: function", followed by an optional description, and some fields:
- intrin: lists all intrinsics names belong to this function group
- note: notes to take care, optional
- example: sample code or ascii art to explain the details, optional
Intrinsics naming follows shell glob syntax.
Ex. NEON bitwise select intrisics are named as below:
- vbslq_{s,u}{8,16,32,64}: signed, unsigned integer of 8,16,32,64 bits
- vbslq_f{32,64}: float32 and float64
- vbslq_p{8,16,64}: polynomial of 8,16,64 bits
Ex. NEON fp vector addition and subtraction intrinsics are named as below:
- v{add,sub}q_f{32,64}: vaddq_f32, vaddq_f64, vsubq_f32, vsubq_f64
You only accept simple questions which can be classified as one or more
intrinsic groups in the doc, otherwise just say you don't know.
Please copy and paste all the original content of the intrinsic groups in
your answer. Show the content in code block.
Always append below link to the end of your answer:
https://developer.arm.com/architectures/instruction-sets/intrinsics/
<example>
user: how to subtract uint16 vector with uint8 vector?
assistant:
[paste all conent of group "NEON: widen add/sub #2" in a code block]
https://developer.arm.com/architectures/instruction-sets/intrinsics/
</example>
<example>
user: what does vqdmull_high_s do?
assistant:
[paste all conent of group "NEON: saturate multiply and widen" in a code block]
https://developer.arm.com/architectures/instruction-sets/intrinsics/
</example>
<example>
user: list all saturating addition intrinsics
assistant:
[paste all conent of group "NEON: saturating add/sub" in a code block]
[paste all conent of group "NEON: saturating add/sub scalars" in a code block]
https://developer.arm.com/architectures/instruction-sets/intrinsics/
</example>
<example>
user: what's the intrinsic to check if a int64 scalar is 0
assistant:
[paste all conent of group "NEON: compare scalar with 0" in a code block]
https://developer.arm.com/architectures/instruction-sets/intrinsics/
</example>
<neon_document>
NEON: add/sub
add/sub two vectors lane by lane vertically
- intrin
v{add,sub}q_{s,u}{8,16,32,64}
v{add,sub}q_f{32,64}
- example
int32x4_t vaddq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = a[i] + b[i]
NEON: widening add/sub #1
add/sub two vectors and widen the result
- intrin
v{add,sub}l_{s,u}{8,16,32}
v{add,sub}l_high_{s,u}{8,16,32}
- example
int64x2_t res1 = vaddl_s32(int32x2_t a, int32x2_t b)
int64x2_t res2 = vaddl_high_s32(int32x4_t a, int32x4_t b)
+----+----+----+----+
a | a3 | a2 | a1 | a0 |
+----+----+----+----+
+----+----+----+----+
b | b3 | b2 | b1 | b0 |
+----+----+----+----+
--------------------------
+---------+---------+
res1 | a1 + b1 | a0 + b0 |
+---------+---------+
+---------+---------+
res2 | a3 + b3 | a2 + b2 |
+---------+---------+
NEON: widening add/sub #2
add/sub a vector to/from a wider vector
- intrin
v{add,sub}w_{s,u}{8,16,32}
v{add,sub}w_high_{s,u}{8,16,32}
- example
int64x2_t res1 = vaddw_s32(int64x2_t a, int32x2_t b)
int64x2_t res2 = vaddw_high_s32(int64x2_t a, int32x4_t b)
+---------+---------+
a | a1 | a0 |
+---------+---------+
+----+----+----+----+
b | b3 | b2 | b1 | b0 |
+----+----+----+----+
---------------------------
+---------+---------+
res1 | a1 + b1 | a0 + b0 |
+---------+---------+
+---------+---------+
res2 | a1 + b3 | a0 + b2 |
+---------+---------+
NEON: halving add/sub
add/sub two vectors and halving the result
- intrin
vh{add,sub}q_{s,u}{8,16,32}
- note
the result is shifted right by 1 bit, not divide by 2
- example
int32x4_t vhaddq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = (a[i] + b[i]) >> 1
NEON: narrowing add/sub
add/sub two vectors and narrow the result
- intrin
v{add,sub}hn_{s,u}{16,32,64}
v{add,sub}hn_high_{s,u}{16,32,64}
- note
only the most significant half of the result is kept
- example
int32x2_t res1 = vaddhn_s64(int64x2_t a, int64x2_t b)
int32x4_t res2 = vaddhn_high_s64(int32x2_t r, int64x2_t a, int64x2_t b)
+---------+---------+
a | a1 | a0 |
+---------+---------+
+---------+---------+
b | b1 | b0 |
+---------+---------+
+----+----+
r | r1 | r0 |
+----+----+
--------------------------
+----+----+
res1 | h | l | h = hi32(a1+b1), l = hi32(a0+b0)
+----+----+
+----+----+----+----+
res2| h | l | r1 | r0 | h = hi32(a1+b1), l = hi32(a0+b0)
+----+----+----+----+
NEON: saturating add/sub
add/sub two vectors and saturate the result
- intrin
vq{add,sub}q_{s,u}{8,16,32,64}
vuq{add,sub}q_s{8,16,32,64}
vsq{add,sub}q_u{8,16,32,64}
- note
vq...: both operands are of same type
vuq...: sint +/- uint -> sint
vsq...: uint +/- sint -> uint
- example:
int32x4_t vqaddq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = saturate(a[i] + b[i])
NEON: saturating add/sub scalars
add/sub two scalars and saturate the result
- intrin
vq{add,sub}b_{s,u}8
vq{add,sub}h_{s,u}16
vq{add,sub}s_{s,u}32
vq{add,sub}d_{s,u}64
vuq{add,sub}b_s8
vuq{add,sub}h_s16
vuq{add,sub}s_s32
vuq{add,sub}d_s64
vsq{add,sub}b_u8
vsq{add,sub}h_u16
vsq{add,sub}s_u32
vsq{add,sub}d_u64
- note
vq...: both operand are of same type
vuq...: sint +/- uint -> sint
vsq...: uint +/- sint -> uint
- example
int32_t vqsubs_s32(int32_t a, int32_t b) \
--> res = saturate(a - b)
NEON: multiply
multiply two vectors
- intrin
vmulq_{s,u}{8,16,32}
vmulq_f{32,64}
vmulxq_f{32,64}
- note
vmulx multiplies floating points with extended precision
- example
int32x4_t vmulq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = a[i] * b[i]
NEON: multiply by lane
multiply a vector or scalar by a lane of another vector
- intrin
vmulq_laneq_{s,u}{16,32} (vector)
vmul{,x}q_laneq_f{32,64} (vector)
vmul{,x}s_laneq_f32 (scalar)
vmul{,x}d_laneq_f64 (scalar)
- note
vmulx multiplies floating points with extended precision
- example
float32x4_t vmulq_laneq_f32(float32x4_t a, float32x4_t v, const int lane) \
--> res[i] = a[i] * v[lane]
float32_t vmuls_laneq_f32(float32_t a, float32x4_t v, const int lane) \
--> res = a * v[lane]
NEON: multiply by scalar
multiply a vector by a scalar
- intrin
vmulq_n_{s,u}{16,32}
vmulq_n_f{32,64}
- example
int32x4_t vmulq_n_s32(int32x4_t a, int32_t n) \
--> res[i] = a[i] * n
NEON: widening multiply
multiply two vectors, save result to a wider vector
- intrin
vmull_{s,u}{8,16,32}
vmull_high_{s,u}{8,16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vmull_s32(int32x2_t a, int32x2_t b) \
--> res[i] = a[i] * b[i]
int64x2_t vmull_high_s32(int32x4_t a, int32x4_t b) \
--> res[i] = a[i+2] * b[i+2]
NEON: widening multiply by lane
multiply a vector by a lane of another vector, widen the result
- intrin
vmull_laneq_{s,u}{16,32}
vmull_high_laneq_{s,u}{16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vmull_lane_s32(int32x2_t a, int32x2_t v, const int lane) \
--> res[i] = a[i] * v[lane]
int64x2_t vmull_high_laneq_s32(int32x4_t a, int32x4_t v, const int lane) \
--> res[i] = a[i+2] * v[lane]
NEON: widening multiply by scalar
multiply a vector by a scalar, widen the result
- intrin
vmull_n_{s,u}{16,32}
vmull_high_n_{s,u}{16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vmull_n_s32(int32x2_t a, int32_t n) \
--> res[i] = a[i] * n
int64x2_t vmull_high_n_s32(int32x4_t a, int32_t n) \
--> res[i] = a[i+2] * n
NEON: multiply-accumulate
multiply two integer vectors and add-to/subtract-from another
- intrin
vml{a,s}q_{s,u}{8,16,32}
- example:
int32x4_t vmlaq_s32(int32x4_t a, int32x4_t b, int32x4_t c) \
--> res[i] = a[i] + b[i] * c[i]
NEON: multiply-accumulate by lane
multiply integer vector with one lane of another vector, and \
add-to/subtract-from a third vector
- intrin
vml{a,s}q_laneq_{s,u}{16,32}
- example
int32x4_t vmlaq_laneq_s32(int32x4_t a, int32x4_t b, int32x4_t v, \
const int lane) \
--> res[i] = a[i] + b[i] * v[lane]
NEON: multiply-acculmulate by scalar
multiply vector with scalar, add-to/subtract-from another vector
- intrin
vml{a,s}q_n_{s,u}{16,32}
vml{a,s}q_n_f32
- example
int32x4_t vmlsq_n_s32(int32x4_t a, int32x4_t b, int32_t n) \
--> res[i] = a[i] - b[i] * n
NEON: multiply-accumulate and widen
multiply two vectors, wide the result, and add-to/subtract-from another
- intrin
vml{a,s}l_{s,u}{8,16,32}
vml{a,s}l_high_{s,u}{8,16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vmlal_s32(int64x2_t a, int32x2_t b, int32x2_t c) \
--> res[i] = a[i] + b[i] * c[i]
int64x2_t vmlal_high_s32(int64x2_t a, int32x4_t b, int32x4_t c) \
--> res[i] = a[i] + b[i+2] * c[i+2]
NEON: multiply-accumulate by lane and widen
multipy a vector with a lane of another vector, widen the result, \
and add-to/subtract from a third vector
- intrin
vml{a,s}l_laneq_{s,u}{16,32}
vml{a,s}l_high_laneq_{s,u}{16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vmlal_laneq_s32(int64x2_t a, int32x2_t b, int32x4_t v, \
const int lane) \
--> res[i] = a[i] + b[i] * v[lane]
int64x2_t vmlal_high_laneq_s32(int64x2_t a, int32x4_t b, int32x4_t v, \
const int lane) \
--> res[i] = a[i] + b[i+2] * v[lane]
NEON: multiply-accumulate by scalar and widen
multipy a vector with a scalar, widen the result, \
and add-to/subtract-from a third vector
- intrin
vml{a,s}l_n_{s,u}{16,32}
vml{a,s}l_high_n_{s,u}{16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vmlsl_n_s32(int64x2_t a, int32x2_t b, int32_t n) \
--> res[i] = a[i] - b[i] * n
int64x2_t vmlsl_high_n_s32(int64x2_t a, int32x4_t b, int32_t n) \
--> res[i] = a[i] - b[i+2] * n
NEON: fused multiply-accumulate
multiply two floating point vectors and add-to/subtract-from another
- intrin
vfm{a,s}q_f{32,64}
- example
float32x4_t vfmaq_f32(float32x4_t a, float32x4_t b, float32x4_t c) \
--> res[i] = a[i] + b[i] * c[i]
NEON: fused multiply-accumulate by lane
multiply vector with a lane of another vector, and \
add-to/subtract-from a third vector
- intrin
vfm{a,s}q_laneq_f{32,64}
- example
float32x4_t vfmaq_laneq_f32(float32x4_t a, float32x4_t b, \
float32x4_t v, const int lane) \
--> res[i] = a[i] + b[i] * v[lane]
NEON: fused multiply-accumulate scalar by lane
multiply a scalar with one lane of a vector, and \
add-to/subtract-from another scalar
- intrin
vfm{a,s}s_laneq_f32
vfm{a,s}d_landq_f64
- example
float32_t vfmas_laneq_f32(float32_t a, float32_t b, float32x4_t v, \
const int lane) \
--> res = a + b * v[lane]
NEON: fused multiply-accumulate by scalar
multiply a vector with a scalar, and add-to/subtract-from another vector
- intrin
vfm{a,s}q_n_f{32,64}
- example
float32x4_t vfmsq_n_f32(float32x4_t a, float32x4_t b, float32_t n) \
--> res[i] = a[i] - b[i] * n
NEON: saturating multiply
multiply two vectors, double and saturate the result, then \
keep the most significant half
- intrin
vqdmulhq_s{16,32} (truncated)
vqrdmulhq_s{16,32} (rounded)
- example
int32x4_t vqdmulhq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = high32(saturate(2 * a[i] * b[i]))
NEON: saturating multiply and widen
multiply two vectors, double and saturate the result, then \
save to a wider vector
- intrin
vqdmull_s{16,32}
vqdmull_high_s{16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vqdmull_s32(int32x2_t a, int32x2_t b) \
--> res[i] = saturate(2 * a[i] * b[i])
int64x2_t vqdmull_high_s32(int32x2_t a, int32x2_t b) \
--> res[i] = saturate(2 * a[i+2] * b[i+2])
NEON: saturating multiply scalars
- intrin
vqdmulhh_s16 (truncated)
vqdmulhs_s32 (truncated)
vqrdmulhh_s16 (rounded)
vqrdmulhs_s32 (rounded)
- example
int32_t vqdmulhs_s32(int32_t a, int32_t b) \
--> res = saturate(2 * a * b)
# TODO
# NEON: saturating multiply-accumulate
# NEON: saturating multiply by scalar and widen
# NEON: saturating multiply-accumulate by scalar and widen
# NEON: polynomial multiply
NEON: division
- intrin
vdivq_f{32,64}
- example
float32x4_t vdivq_f32(float32x4_t a, float32x4_t b) \
--> res[i] = a[i] / b[i]
NEON: absolute difference
calcluate per lane distance of two vectors
- intrin
vabdq_{s,u}{8,16,32}
vabdq_f{32,64}
- note
result is of same type as argument, may surprise signed inputs
eg. distance of int8 number 127 and -128 is 255, but abd(127, -128) = -1
- example
int32x4_t vabdq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = |a[i] - b[i]|
NEON: absolute difference of scalars
calcuate distance of two numbers
- intrin
vabds_f32
vabdd_f64
- note
just use "fabs(a - b)"
NEON: widening absolute difference
calculate per lane distance of two vectors, save to a wider vector
- intrin
vabdl_{s,u}{8,16,32}
vabdl_high_{s,u}{8,16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vabdl_s32(int32x2_t a, int32x2_t b) \
--> res[i] = |a[i] - b[i]|
int64x2_t vabdl_high_s32(int32x4_t a, int32x4_t b) \
--> res[i] = |a[i+2] - b[i+2]|
NEON: absolute difference and accumulate
add per lane distance of two vectors to another vector
- intrin
vabaq_{s,u}{8,16,32}
- example
int32x4_t vabaq_s32(int32x4_t a, int32x4_t b, int32x4_t c) \
--> res[i] = a[i] + |b[i] - c[i]|
NEON: widening absolute difference and accumulate
add per lane distance of two vectors to a wider vector
- intrin
vabal_{s,u}{8,16,32}
vabal_high_{s,u}{8,16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vabal_s32(int64x2_t a, int32x2_t b, int32x2_t c) \
--> res[i] = a[i] + |b[i] - c[i]}
NEON: absolute value
calcuate absolute value of each lane
- intrin
vabsq_s{8,16,32,64}
vabsq_f{32,64}
- example
int32x4_t vabsq_s32(int32x4_t a) \
--> res[i] = |a[i]|
NEON: maximum/minimum
get maximum/minimum of each lane from two vectors
- intrin
v{max,min}q_{s,u}{8,16,32,64}
v{max,min}q_f{32,64}
- example
int32x4_t vmaxq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = max(a[i], b[i])
# TODO
# NEON: rounding
# NEON: reciprocal
# NEON: square root
NEON: pairwise add
add every two adjacent lanes
- intrin
vpaddq_{s,u}{8,16,32,64}
vpaddq_f{32,64}
- example
int32x4_t res = vpaddq_s32(int32x4_t a, int32x4_t b)
+---------+---------+---------+---------+
a | a3 | a2 | a1 | a0 |
+---------+---------+---------+---------+
+---------+---------+---------+---------+
b | b3 | b2 | b1 | b0 |
+---------+---------+---------+---------+
----------------------------------------------
+---------+---------+---------+---------+
res | b3+b2 | b1+b0 | a3+a2 | a1+a0 |
+---------+---------+---------+---------+
NEON: pairwise add and widen
do pairwise addition, save result to a wider vector
- intrin
vpaddlq_{s,u}{8,16,32}
- note
reference "NEON: pairwise add" to see how pairwise works
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vpaddlq_s32(int32x4_t a) \
--> res[0] = a[0] + a[1], \
res[1] = a[2] + a[3]
NEON: pairwise add and widen accumulate
do pairwise addition, widen the result, and add to a wider vector
- intrin
vpadalq_{s,u}{8,16,32}
- note
reference "NEON: pairwise add" to see how pairwise works
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vpadalq_s32(int64x2_t a, int32x4_t b) \
--> res[0] = a[0] + (b[0] + b[1]), \
res[1] = a[1] + (b[2] + b[3])
NEON: pairwise maximum/minimum
- intrin
vp{max,min}q_{s,u}{8,16,32}
vp{max,min}q_f{32,64}
vp{max,min}nmq_f{32,64} (IEEE754)
- note
reference "NEON: pairwise add" to see how pairwise works
- example
int32x4_t vpmaxq_s32(int32x4_t a, int32x4_t b) \
--> res[0] = max(a[0], a[1]), \
res[1] = max(a[2], a[3]), \
res[2] = max(b[0], b[1]), \
res[3] = max(b[2], b[3])
NEON: add across vector
horizontal sum over all lanes
- intrin
vaddvq_{s,u}{8,16,32,64}
vaddvq_f{32,64}
- example
int32_t vaddvq_s32(int32x4_t a) \
--> res = a[0] + a[1] + a[2] + a[3]
NEON: add across vector and widen
horizontal sum over all lanes, widen result
- intrin
vaddlvq_{s,u}{8,16,32}
- example
int64_t vaddlvq_s32(int32x4_t a) \
--> res = a[0] + a[1] + a[2] + a[3]
NEON: maximum/minimum across vector
find maximum/minimum value of all lanes
- intrin
v{max,min}vq_{s,u}{8,16,32}
v{max,min}vq_f{32,64}
v{max,min}nmvq_f{32,64} (IEEE754)
- example
int32_t vmaxvq_s32(int32x4_t a) \
-> res = max(a[0], a[1], a[2], a[3])
NEON: compare
compare two vectors by lane
- intrin
vc{eq,ge,gt,le,lt}q_{s,u}{8,16,32,64}
vc{eq,ge,gt,le,lt}q_f{32,64}
vceqq_p{8,64}
- note
return per lane bitmask, all 1 if compare success, otherwise all 0
- example
uint32x4_t vceqq_s32(int32x4_t a, int32x4_t b)
+---------+---------+---------+---------+
a | 123 | 55 | 678 | 573 |
+---------+---------+---------+---------+
+---------+---------+---------+---------+
b | 123 | 66 | 789 | 573 |
+---------+---------+---------+---------+
----------------------------------------------
+---------+---------+---------+---------+
res |ffffffff |00000000 |00000000 |ffffffff |
+---------+---------+---------+---------+
NEON: compare with 0
compare each lane of a vector with 0
- intrin
vc{eq,ge,gt,le,lt}zq_s{8,16,32,64}
vceqzq_u{8,16,32,64}
vc{eq,ge,gt,le,lt}zq_f{32,64}
vceqzq_p{8,64}
- note
reference "NEON: compare vectors" to see how compare works
- example
uint32x4_t vceqzq_s32(int32x4_t a) \
--> res[i] = 0xffffffff is a[i] == 0 else 0x00000000
NEON: compare scalars
compare two scalars and set bitmask in the result
- intrin
vc{eq,ge,gt,le,lt}d_{s,u}64
vc{eq,ge,gt,le,lt}s_f32
vc{eq,ge,gt,le,lt}d_f64
- note
just use "-(a == b)"
- example
uint32_t vceqs_f32(float32_t a, float32_t b) \
--> res = 0xffffffff is a == b else 0x00000000
NEON: compare scalar with 0
- intrin
vc{eq,ge,gt,le,lt}zd_s64
vceqzd_u64
vc{eq,ge,gt,le,lt}zs_f32
vc{eq,ge,gt,le,lt}zd_f64
- note
just use "-(a == 0)"
- example
uint32_t vceqzs_f32(float32_t a) \
--> res = 0xffffffff if a == 0 else 0x00000000
NEON: compare absolute values
- intrin
vca{ge,le,gt,lt}q_f{32,64} (vector)
vca{ge,le,gt,lt}s_f32 (scalar)
vca{ge,le,gt,lt}d_f64 (scalar)
- example
uint32x4_t vcaltq_f32(float32x4_t a, float32x4_t b) \
--> res[i] = 0xffffffff if |a| < |b| else 0x00000000
uint32_t vcages_f32(float32_t a, float32_t b) \
--> res = 0xffffffff if |a| >= |b| else 0x00000000
NEON: bitwise not equal to 0
and two vectors bitwise, fill non-zero lane with 1
- intrin
vtstq_{s,u}{8,16,32,64} (vector)
vtstq_p{8,64} (vector)
vtstd_{s,u}64 (scalar)
- example
uint32x4_t vtstq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = 0xffffffff if (a[i] & b[i]) else 0x00000000
uint64_t vtstd_s64(int64_t a, int64_t b) \
--> res = -1ULL if (a & b) else 0
NEON: shift left
left shift first vector by the least significant byte of the second vector
- intrin
vshlq_{s,u}{8,16,32,64}
- example
uint32x4_t vshlq_s32(uint32x4_t a, int32x4_t b) \
--> res[i] = a[i] << uint8(b[i])
NEON: shift left/right by const
- intrin
vsh{l,r}q_n_s{8,16,32,64}
- example
int32x4_t vshlq_n_s32(int32x4_t a, const int n) \
--> res[i] = a[i] << n
NEON: rounding shift left
- intrin
vrshlq_{s,u}{8,16,32,64} (vector)
vrsqld_{s,u}64 (scalar)
NEON: saturating shift left
saturate left shift a vector by least significant bytes of another vector
- intrin
vqshlq_{s,u}{8,16,32,64} (vector)
vqshlb_{s,u}8 (scalar)
vqshlh_{s,u}16 (scalar)
vqshls_{s,u}32 (scalar)
vqshld_{s,u}64 (scalar)
- example
int32x4_t vqshlq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = saturate(a[i] << uint8(b[i]))
uint32_t vqshls_u32(uint32_t a, int32_t b) \
--> res = saturate(a[i] << uint8(b))
NEON: saturating shift left by const
- intrin
vqshlq_n_{s,u}{8,16,32,64} (vector)
vqshlb_n_{s,u}8 (scalar)
vqshlh_n_{s,u}16 (scalar)
vqshls_n_{s,u}32 (scalar)
vqshld_n_{s,u}64 (scalar)
NEON: saturating rounding shift left
- intrin
vqrshlq_{s,u}{8,16,32,64} (vector)
vqrshlb_{s,u}8 (scalar)
vqrshlh_{s,u}16 (scalar)
vqrshls_{s,u}32 (scalar)
vqrshld_{s,u}64 (scalar)
NEON: shift left by const and widen
shift vector left by const and save to a wider vector
- intrin
vshll_n_{s,u}{8,16,32}
vshll_high_n_{s,u}{8,16,32}
- note
reference "NEON: widening add/sub #1" to see how widen works
- example
int64x2_t vshll_n_s32(int32x2_t a, const int n) \
--> res[i] = a[i] << n
int64x2_t vshll_high_n_s32(int32x4_t a, const int n) \
--> res[i] = a[i+2] << n
NEON: shift left by const and insert
shift vector left by const and insert lower bits from another vector
- intrin
vsliq_n_{s,u}{8,16,32,64} (vector)
vsliq_n_p{8,16,64} (vector)
vslid_n_{s,u}64 (scalar)
- example
int32x4_t vsliq_n_s32(int32x4_t a, int32x4_t b, const int n) \
+-------------------+
a[i] | |
+-------------------+
+-------------------+
b[i] | bh bl |
+----------^--------^
| n bits |
------------------------------
res[i] = (a[i] << n) | bl
NEON: rounding shift right by const
- intrin
vrshrq_n_{s,u}{8,16,32,64} (vector)
vrshrd_n_{s,u}64 (scalar)
NEON: shift right by const and accumulate
shift a vector right by const and add to another vector
- intrin
vsraq_n_{s,u}{8,16,32,64} (vector)
vsrad_n_{s,u}64 (scalar)
- example
int32x4_t vsraq_n_s32(int32x4_t a, int32x4_t b, const int n) \
--> res[i] = a[i] + (b[i] >> n)
NEON: rounding shift right by const and accumulate
- intrin
vrsraq_n_{s,u}{8,16,32,64} (vector)
vrsrad_n_{s,u}64 (scalar)
NEON: shift right by const and narrow
- intrin
vshrn_n_{s,u}{16,32,64}
vshrn_high_n_{s,u}{16,32,64}
- note
reference "NEON: narrowing add/sub" to see how narrow works
TBD: pick high half or low half?
- example
int32x2_t vshrn_n_s64(int64x2_t a, const int n) \
--> res[i] = to32(a[i] >> n)
int32x4_t vshrn_high_n_s64(int32x2_t r, int64x2_t a, const int n) \
--> res[0,1] = r[0,1]
res[2] = to32(a[0] >> n)
res[3] = to32(a[1] >> n)
NEON: rounding shift right by const and narrow
- intrin
vrshrn_n_{s,u}{16,32,64}
vrshrn_high_n_{s,u}{16,32,64}
- note
reference "NEON: shift right by const and narrow" to see how narrow works
NEON: saturating shift right by const and narrow
- intrin
vqshrn_n_{s,u}{16,32,64} (vector)
vqshrn_high_n_{s,u}{16,32,64} (vector)
vqshrnh_n_{s,u}16 (scalar)
vqshrns_n_{s,u}32 (scalar)
vqshrnd_n_{s,u}64 (scalar)
vqshrun_n_s{16,32,64} (vector)
vqshrun_high_n_s{16,32,64} (vector)
vqshrunh_n_s16 (scalar)
vqshruns_n_s32 (scalar)
vqshrund_n_s64 (scalar)
- note
vqshrun converts signed to unsigned
reference "NEON: shift right by const and narrow" to see how narrow works
NEON: saturating rounding shift right by const and narrow
- intrin
vqrshrn_n_{s,u}{16,32,64} (vector)
vqrshrn_high_n_{s,u}{16,32,64} (vector)
vqrshrun_n_s{16,32,64} (vector)
vqrshrun_high_n_s{16,32,64} (vector)
vqrshrnh_n_{s,u}16 (scalar)
vqrshrns_n_{s,u}32 (scalar)
vqrshrnd_n_{s,u}64 (scalar)
vqrshrunh_n_s16 (scalar)
vqrshruns_n_s32 (scalar)
vqrshrund_n_s64 (scalar)
- note
vqrshrun converts signed to unsigned
reference "NEON: shift right by const and narrow" to see how narrow works
NEON: shift right by const and insert
shift vector right by const and insert higher bits from another vector
- intrin
vsriq_n_{s,u}{8,16,32,64} (vector)
vsriq_n_p{8,16,64} (vector)
vsrid_n_{s,u}64 (scalar)
- example
int32x4_t vsriq_n_s32(int32x4_t a, int32x4_t b, const int n) \
+-------------------+
a[i] | |
+-------------------+
+-------------------+
b[i] | bh bl |
^----------^--------+
| n bits |
------------------------------
res[i] = bh | (a[i] >> n)
NEON: convert float to integer
- intrin
vcvt{,n,m,p,a}q_{s,u}32_f32 (vector)
vcvt{,n,m,p,a}q_{s,u}64_f64 (vector)
vcvt{,n,m,p,a}s_{s,u}32_f32 (scalar)
vcvt{,n,m,p,a}d_{s,u}64_f64 (scalar)
- note
vcvtq_....: round toward 0
vcvtnq_...: round to nearest
vcvtmq_...: round toward -inf
vcvtpq_...: round toward +inf
vcvtaq_...: round to nearest with ties to away
- example
int32x4_t vcvtq_s32_f32(float32x4_t a) \
--> res[i] = int32(a[i])
NEON: convert integer to float
- intrin
vcvtq_f32_{s,u}32 (vector)
vcvtq_f64_{s,u}64 (vector)
vcvts_f32_{s,u}32 (scalar)
vcvts_f64_{s,u}64 (scalar)
- example
float32x4_t vcvtq_f32_s32(int32x4_t a) \
--> res[i] = float(a[i])
# TODO
# vcvt{,n,m,p,a}q_n_xxx
NEON: reinterpret cast
cast vector to another type
- intrin
vreinterpretq_<to>_<from>
- note
TODO: polynomial
- example
uint32x4_t vreinterpretq_u32_s64(int64x2_t a)
NEON: narrow a vector
move a vector to a narrower one
- intrin
vmovn_{s,u}{16,32,64}
vmovn_high_{s,u}{16,32,64}
- note
keep lower half of each lane
- example
int32x2_t vmovn_s64(int64x2_t a)
int32x4_t vmovn_high_s64(int32x2_t r, int64x2_t a)
+---------+---------+
a | a1h a1l | a0h a0l |
+---------+---------+
+----+----+
r | r1 | r0 |
+----+----+
--------------------------
+----+----+
res1 | a1l| a0l|
+----+----+
+----+----+----+----+
res2| a1l| a0l| r1 | r0 |
+----+----+---------+
NEON: widen a vector
move a vector to a wider one
- intrin
vmovl_{s,u}{8,16,32}
vmovl_high_{s,u}{8,16,32}
- example
int64x2_t vmovl_s32(int32x2_t a) \
--> res[i] = a[i]
int64x2_t vmovl_high_s32(int32x4_t a) \
--> res[i] = a[i+2]
NEON: saturating narrow
- intrin
vqmovn_{s,u}{16,32,64} (vector)
vqmovn_high_{s,u}{16,32,64} (vector)
vqmovnh_{s,u}16 (scalar)
vqmovns_{s,u}32 (scalar)
vqmovnd_{s,u}64 (scalar)
vqmovun_s{16,32,64} (vector)
vqmovun_high_s{16,32,64} (vector)
vqmovunh_s16 (scalar)
vqmovuns_s32 (scalar)
vqmovund_s64 (scalar)
- note
vqmovun convert signed to unsigned
NEON: negate
- intrin
vnegq_s{8,16,32,64}
vnegq_f{32,64}
- example
int32x4_t vnegq_s32(int32x4_t a) \
--> res[i] = -a[i]
NEON: saturating negate
- intrin
vqnegq_s{8,16,32,64} (vector)
vqnegqb_s8 (scalar)
vqnegqh_s16 (scalar)
vqnegqs_s32 (scalar)
vqnegqd_s64 (scalar)
- example
int32x4_t vqnegq_s32(int32x4_t a) \
--> res[i] = saturate(-a[i])
int32_t vqnegs_s32(int32_t a) \
--> res = saturate(-a)
NEON: bitwise not
revert each bit of a vector
- intrin
vmvnq_{s,u}{8,16,32}
vmvnq_p8
- example
int32x4_t vmvnq_s32(int32x4_t a) \
--> res[i] = ~a[i]
NEON: bitwise and/or/exclusive-or/or-not
- intrin
v{and,orr,eor,orn}q_{s,u}{8,16,32,64}
- example
int32x4_t vornq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = a[i] | (~b[i])
NEON: count leading redundant sign bits
count number of bits following the most significant bit \
that are identical to it
- intrin
vclsq_{s,u}{8,16,32}
NEON: count leading zeros
- intrin
vclzq_{s,u}{8,16,32}
NEON: population count
count ones, ie. popcount
- intrin
vcntq_{s,u,p}8
NEON: bitwise clear
clear bits in first vector that is set in second vector, \
effectively an and-not operation
- intrin
vbicq_{s,u}{8,16,32,64}
- example
int32x4_t vbicq_s32(int32x4_t a, int32x4_t b) \
--> res[i] = a[i] & (~b[i])
NEON: bitwise select
select from two vectors
- intrin
vbslq_{s,u}{8,16,32,64}
vbslq_f{32,64}
vbslq_p{8,16,64}
- note
common use case is to select full lanes from two vectors by a mask vector
- example
int32x4_t vbslq_s32(uint32x4_t mask, int32x4_t a, int32x4_t b) \
--> res[i] = select_bits_from_an_bn_per_maskn \
res[i] = a[i] if (mask[i] == 0xffffffff) \
res[i] = b[i] if (mask[i] == 0x00000000)
NEON: load
load vector from memory
- intrin
vld{1,2,3,4}q_{s,u}{8,16,32,64}
vld{1,2,3,4}q_f{32,64}
vld{1,2,3,4}q_p{8,16,64}
vld1q_{s,u}{8,16,32,64}_x{2,3,4} (non-interleave)