8000 ENH: Use AVX for float32 implementation of np.sin & np.cos by r-devulap · Pull Request #13368 · numpy/numpy · GitHub
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ENH: Use AVX for float32 implementation of np.sin & np.cos #13368

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Merged
merged 11 commits into from
Aug 18, 2019
Merged

ENH: Use AVX for float32 implementation of np.sin & np.cos #13368

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bd2c82b
ENH: Use AVX for float32 implementation of np.sin & np.cos
Mar 20, 2019
e50e725
BUG: fixing NAN handling and adding tests for sin/cos
May 1, 2019
d56fbfd
BUG: sin and cos cast float16 to float32
May 7, 2019
bca9628
TEST: adding tests to validate AVX sin/cos implementation
May 20, 2019
9cae09c
BUG: use strides and process strided arrays using AVX
May 22, 2019
cd9f1a8
BUG: AVX2 impl of sin/cos requires an FMA
May 22, 2019
8589d48
TEST: Rounding max tolerable ulp error to an int
May 23, 2019
0f78154
BUG: eliminate unsed variables warning in cpuid
May 23, 2019
44d14ab
MAINT: using an enum to switch between sin/cos
May 29, 2019
6f34f5f
TEST: improving test coverage for sin/cos for input > 117435.992f
May 30, 2019
457b3e6
BUG: rename avx2_scalef_ps to fma_scalef_ps
Aug 3, 2019
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BUG: eliminate unsed variables warning in cpuid
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Raghuveer Devulapalli committed Aug 3, 2019
commit 0f78154c046a8f25fed6266fe4dbf4c903b6c4ce
2 changes: 1 addition & 1 deletion numpy/core/src/umath/cpuid.c
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Original file line number Diff line number Diff line change
Expand Up @@ -51,9 +51,9 @@ int os_avx512_support(void)
static NPY_INLINE
int cpu_supports_fma(void)
{
#ifdef __x86_64__
unsigned int feature = 0x01;
unsigned int a, b, c, d;
#ifdef __x86_64__
__asm__ volatile (
"cpuid" "\n\t"
: "=a" (a), "=b" (b), "=c" (c), "=d" (d)
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