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codon/stdlib/experimental/simd.codon

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# Copyright (C) 2022-2023 Exaloop Inc. <https://exaloop.io>
@tuple(container=False) # disallow default __getitem__
class Vec[T, N: Static[int]]:
ZERO_16x8i = Vec[u8,16](u8(0))
FF_16x8i = Vec[u8,16](u8(0xff))
ZERO_32x8i = Vec[u8,32](u8(0))
FF_32x8i = Vec[u8,32](u8(0xff))
@llvm
def _mm_set1_epi8(val: u8) -> Vec[u8, 16]:
%0 = insertelement <16 x i8> undef, i8 %val, i32 0
%1 = shufflevector <16 x i8> %0, <16 x i8> undef, <16 x i32> zeroinitializer
ret <16 x i8> %1
@llvm
def _mm256_set1_epi8(val: u8) -> Vec[u8, 32]:
%0 = insertelement <32 x i8> undef, i8 %val, i32 0
%1 = shufflevector <32 x i8> %0, <32 x i8> undef, <32 x i32> zeroinitializer
ret <32 x i8> %1
@llvm
def _mm_loadu_si128(data) -> Vec[u8, 16]:
%0 = bitcast i8* %data to <16 x i8>*
%1 = load <16 x i8>, <16 x i8>* %0, align 1
ret <16 x i8> %1
@llvm
def _mm256_loadu_si256(data) -> Vec[u8, 32]:
%0 = bitcast i8* %data to <32 x i8>*
%1 = load <32 x i8>, <32 x i8>* %0, align 1
ret <32 x i8> %1
@llvm
def _mm256_set1_ps(val: f32) -> Vec[f32, 8]:
%0 = insertelement <8 x float> undef, float %val, i32 0
%1 = shufflevector <8 x float> %0, <8 x float> undef, <8 x i32> zeroinitializer
ret <8 x float> %1
@llvm
def _mm512_set1_ps(val: f32) -> Vec[f32, 16]:
%0 = insertelement <16 x float> undef, float %val, i32 0
%1 = shufflevector <16 x float> %0, <16 x float> undef, <16 x i32> zeroinitializer
ret <16 x float> %1
@llvm
def _mm256_loadu_ps(data: Ptr[f32]) -> Vec[f32, 8]:
%0 = bitcast float* %data to <8 x float>*
%1 = load <8 x float>, <8 x float>* %0
ret <8 x float> %1
@llvm
def _mm512_loadu_ps(data: Ptr[f32]) -> Vec[f32, 16]:
%0 = bitcast float* %data to <16 x float>*
%1 = load <16 x float>, <16 x float>* %0
ret <16 x float> %1
@llvm
def _mm256_cvtepi8_epi32(vec: Vec[u8, 16]) -> Vec[u32, 8]:
%0 = shufflevector <16 x i8> %vec, <16 x i8> undef, <8 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7>
%1 = sext <8 x i8> %0 to <8 x i32>
ret <8 x i32> %1
@llvm
def _mm512_cvtepi8_epi64(vec: Vec[u8, 32]) -> Vec[u32, 16]:
%0 = shufflevector <32 x i8> %vec, <32 x i8> undef, <16 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15>
%1 = sext <16 x i8> %0 to <16 x i32>
ret <16 x i32> %1
@llvm
def _mm256_castsi256_ps(vec: Vec[u32, 8]) -> Vec[f32, 8]:
%0 = bitcast <8 x i32> %vec to <8 x float>
ret <8 x float> %0
@llvm
def _mm512_castsi512_ps(vec: Vec[u32, 16]) -> Vec[f32, 16]:
%0 = bitcast <16 x i32> %vec to <16 x float>
ret <16 x float> %0
def __new__(x, T: type, N: Static[int]) -> Vec[T, N]:
if isinstance(T, u8) and N == 16:
if isinstance(x, u8) or isinstance(x, byte): # TODO: u8<->byte
return Vec._mm_set1_epi8(x)
if isinstance(x, Ptr[u8]) or isinstance(x, Ptr[byte]):
return Vec._mm_loadu_si128(x)
if isinstance(x, str):
return Vec._mm_loadu_si128(x.ptr)
if isinstance(T, u8) and N == 32:
if isinstance(x, u8) or isinstance(x, byte): # TODO: u8<->byte
return Vec._mm256_set1_epi8(x)
if isinstance(x, Ptr[u8]) or isinstance(x, Ptr[byte]):
return Vec._mm256_loadu_si256(x)
if isinstance(x, str):
return Vec._mm256_loadu_si256(x.ptr)
if isinstance(T, f32) and N == 8:
if isinstance(x, f32):
return Vec._mm256_set1_ps(x)
if isinstance(x, Ptr[f32]): # TODO: multi-elif does NOT work with statics [why?!]
return Vec._mm256_loadu_ps(x)
if isinstance(x, List[f32]):
return Vec._mm256_loadu_ps(x.arr.ptr)
if isinstance(x, Vec[u8, 16]):
return Vec._mm256_castsi256_ps(Vec._mm256_cvtepi8_epi32(x))
if isinstance(T, f32) and N == 16:
if isinstance(x, f32):
return Vec._mm512_set1_ps(x)
if isinstance(x, Ptr[f32]): # TODO: multi-elif does NOT work with statics [why?!]
return Vec._mm512_loadu_ps(x)
if isinstance(x, List[f32]):
return Vec._mm512_loadu_ps(x.arr.ptr)
if isinstance(x, Vec[u8, 32]):
return Vec._mm512_castsi512_ps(Vec._mm512_cvtepi8_epi64(x))
compile_error("invalid SIMD vector constructor")
def __new__(x: str, offset: int = 0) -> Vec[u8, N]:
return Vec(x.ptr + offset, u8, N)
def __new__(x: List[T], offset: int = 0) -> Vec[T, N]:
return Vec(x.arr.ptr + offset, T, N)
def __new__(x) -> Vec[T, N]:
return Vec(x, T, N)
@llvm
def _mm_cmpeq_epi8(x: Vec[u8, 16], y: Vec[u8, 16]) -> Vec[u8, 16]:
%0 = icmp eq <16 x i8> %x, %y
%1 = sext <16 x i1> %0 to <16 x i8>
ret <16 x i8> %1
def __eq__(self: Vec[u8, 16], other: Vec[u8, 16]) -> Vec[u8, 16]:
return Vec._mm_cmpeq_epi8(self, other)
@llvm
def _mm256_cmpeq_epi8(x: Vec[u8, 32], y: Vec[u8, 32]) -> Vec[u8, 32]:
%0 = icmp eq <32 x i8> %x, %y
%1 = sext <32 x i1> %0 to <32 x i8>
ret <32 x i8> %1
def __eq__(self: Vec[u8, 32], other: Vec[u8, 32]) -> Vec[u8, 32]:
return Vec._mm256_cmpeq_epi8(self, other)
@llvm
def _mm_andnot_si128(x: Vec[u8, 16], y: Vec[u8, 16]) -> Vec[u8, 16]:
%0 = xor <16 x i8> %x, <i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1>
%1 = and <16 x i8> %y, %0
ret <16 x i8> %1
def __ne__(self: Vec[u8, 16], other: Vec[u8, 16]) -> Vec[u8, 16]:
return Vec._mm_andnot_si128((self == other), Vec.FF_16x8i)
@llvm
def _mm256_andnot_si256(x: Vec[u8, 32], y: Vec[u8, 32]) -> Vec[u8, 32]:
%0 = xor <32 x i8> %x, <i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1, i8 -1>
%1 = and <32 x i8> %y, %0
ret <32 x i8> %1
def __ne__(self: Vec[u8, 32], other: Vec[u8, 32]) -> Vec[u8, 32]:
return Vec._mm256_andnot_si256((self == other), Vec.FF_32x8i)
def __eq__(self: Vec[u8, 16], other: bool) -> Vec[u8, 16]:
if not other:
return Vec._mm_andnot_si128(self, Vec.FF_16x8i)
else:
return Vec._mm_andnot_si128(self, Vec.ZERO_16x8i)
def __eq__(self: Vec[u8, 32], other: bool) -> Vec[u8, 32]:
if not other:
return Vec._mm256_andnot_si256(self, Vec.FF_32x8i)
else:
return Vec._mm256_andnot_si256(self, Vec.ZERO_32x8i)
@llvm
def _mm_and_si128(x: Vec[u8, 16], y: Vec[u8, 16]) -> Vec[u8, 16]:
%0 = and <16 x i8> %x, %y
ret <16 x i8> %0
def __and__(self: Vec[u8, 16], other: Vec[u8, 16]) -> Vec[u8, 16]:
return Vec._mm_and_si128(self, other)
@llvm
def _mm_and_si256(x: Vec[u8, 32], y: Vec[u8, 32]) -> Vec[u8, 32]:
%0 = and <32 x i8> %x, %y
ret <32 x i8> %0
def __and__(self: Vec[u8, 32], other: Vec[u8, 32]) -> Vec[u8, 32]:
return Vec._mm_and_si256(self, other)
@llvm
def _mm256_and_ps(x: Vec[f32, 8], y: Vec[f32, 8]) -> Vec[f32, 8]:
%0 = bitcast <8 x float> %x to <8 x i32>
%1 = bitcast <8 x float> %y to <8 x i32>
%2 = and <8 x i32> %0, %1
%3 = bitcast <8 x i32> %2 to <8 x float>
ret <8 x float> %3
def __and__(self: Vec[f32, 8], other: Vec[f32, 8]) -> Vec[f32, 8]:
return Vec._mm256_and_ps(self, other)
@llvm
def _mm512_and_ps(x: Vec[f32, 16], y: Vec[f32, 16]) -> Vec[f32, 16]:
%0 = bitcast <16 x float> %x to <16 x i32>
%1 = bitcast <16 x float> %y to <16 x i32>
%2 = and <16 x i32> %0, %1
%3 = bitcast <16 x i32> %2 to <16 x float>
ret <16 x float> %3
def __and__(self: Vec[f32, 16], other: Vec[f32, 16]) -> Vec[f32, 16]:
return Vec._mm512_and_ps(self, other)
@llvm
def _mm_or_si128(x: Vec[u8, 16], y: Vec[u8, 16]) -> Vec[u8, 16]:
%0 = or <16 x i8> %x, %y
ret <16 x i8> %0
def __or__(self: Vec[u8, 16], other: Vec[u8, 16]) -> Vec[u8, 16]:
return Vec._mm_or_si128(self, other)
@llvm
def _mm_or_si256(x: Vec[u8, 32], y: Vec[u8, 32]) -> Vec[u8, 32]:
%0 = or <32 x i8> %x, %y
ret <32 x i8> %0
def __or__(self: Vec[u8, 32], other: Vec[u8, 32]) -> Vec[u8, 32]:
return Vec._mm_or_si256(self, other)
@llvm
def _mm256_or_ps(x: Vec[f32, 8], y: Vec[f32, 8]) -> Vec[f32, 8]:
%0 = bitcast <8 x float> %x to <8 x i32>
%1 = bitcast <8 x float> %y to <8 x i32>
%2 = or <8 x i32> %0, %1
%3 = bitcast <8 x i32> %2 to <8 x float>
ret <8 x float> %3
def __or__(self: Vec[f32, 8], other: Vec[f32, 8]) -> Vec[f32, 8]:
return Vec._mm256_or_ps(self, other)
@llvm
def _mm512_or_ps(x: Vec[f32, 16], y: Vec[f32, 16]) -> Vec[f32, 16]:
%0 = bitcast <16 x float> %x to <16 x i32>
%1 = bitcast <16 x float> %y to <16 x i32>
%2 = or <16 x i32> %0, %1
%3 = bitcast <16 x i32> %2 to <16 x float>
ret <16 x float> %3
def __or__(self: Vec[f32, 16], other: Vec[f32, 16]) -> Vec[f32, 16]:
return Vec._mm512_or_ps(self, other)
@llvm
def _mm_bsrli_si128_8(vec: Vec[u8, 16]) -> Vec[u8, 16]:
%0 = shufflevector <16 x i8> %vec, <16 x i8> zeroinitializer, <16 x i32> <i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23>
ret <16 x i8> %0
@llvm
def _mm256_add_ps(x: Vec[f32, 8], y: Vec[f32, 8]) -> Vec[f32, 8]:
%0 = fadd <8 x float> %x, %y
ret <8 x float> %0
def __add__(self: Vec[f32, 8], other: Vec[f32, 8]) -> Vec[f32, 8]:
return Vec._mm256_add_ps(self, other)
def __rshift__(self: Vec[u8, 16], shift: Static[int]) -> Vec[u8, 16]:
if shift == 0:
return self
elif shift == 8:
return Vec._mm_bsrli_si128_8(self)
else:
compile_error("invalid bitshift")
@llvm
def _mm_bsrli_256(vec: Vec[u8, 32]) -> Vec[u8, 32]:
%0 = shufflevector <32 x i8> %vec, <32 x i8> zeroinitializer, <32 x i32> <i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31, i32 32, i32 33, i32 34, i32 35, i32 36, i32 37, i32 38, i32 39, i32 40, i32 41, i32 42, i32 43, i32 44, i32 45, i32 46, i32 47>
ret <32 x i8> %0
def __rshift__(self: Vec[u8, 32], shift: Static[int]) -> Vec[u8, 32]:
if shift == 0:
return self
elif shift == 16:
return Vec._mm_bsrli_256(self)
else:
compile_error("invalid bitshift")
# @llvm # https://stackoverflow.com/questions/6996764/fastest-way-to-do-horizontal-sse-vector-sum-or-other-reduction
# def sum(self: Vec[f32, 8]) -> f32:
# %0 = shufflevector <8 x float> %self, <8 x float> undef, <4 x i32> <i32 0, i32 1, i32 2, i32 3>
# %1 = shufflevector <8 x float> %self, <8 x float> poison, <4 x i32> <i32 4, i32 5, i32 6, i32 7>
# %2 = fadd <4 x float> %0, %1
# %3 = shufflevector <4 x float> %2, <4 x float> undef, <4 x i32> <i32 1, i32 undef, i32 3, i32 undef>
# %4 = fadd <4 x float> %2, %3
# %5 = shufflevector <4 x float> %4, <4 x float> poison, <4 x i32> <i32 2, i32 undef, i32 undef, i32 undef>
# %6 = fadd <4 x float> %4, %5
# %7 = extractelement <4 x float> %6, i32 0
# ret float %7
def sum(self: Vec[f32, 8], x: f32 = f32(0.0)) -> f32:
return x + self[0] + self[1] + self[2] + self[3] + self[4] + self[5] + self[6] + self[7]
@llvm
def __getitem__(self, n: Static[int]) -> T:
%0 = extractelement <{=N} x {=T}> %self, i32 {=n}
ret {=T} %0
def __repr__(self):
if N == 8:
return f"<{self[0]}, {self[1]}, {self[2]}, {self[3]}, {self[4]}, {self[5]}, {self[6]}, {self[7]}>"
elif N == 16:
return f"<{self[0]}, {self[1]}, {self[2]}, {self[3]}, {self[4]}, {self[5]}, {self[6]}, {self[7]}, {self[8]}, {self[9]}, {self[10]}, {self[11]}, {self[12]}, {self[13]}, {self[14]}, {self[15]}>"
else:
return "?"
def scatter(self: Vec[T, N]) -> List[T]:
return [self[i] for i in staticrange(N)]
u8x16 = Vec[u8, 16]
u8x32 = Vec[u8, 32]
f32x8 = Vec[f32, 8]
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