Adding newly shared SVML Float16 HA imlementation - #9
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Functions added: acos, acosh, asin, asinh, atan, atan2, atanh, cbrt, cos, cosh, exp, exp2, exp10, expm1, log, log2, log10, log1p, pow, sin, sinh, tan, tanh
Add .section .note.GNU-stack,"",@progbits to all 23 FP16 HA assembly files.
- Add endbr64 at every function entry point for IBT (Indirect Branch Tracking) support - Add .note.gnu.property section declaring IBT (0xc0000002) and shadow stack (0x00000003) compatibility flags
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Intel open sourced and shared the AVX-512 FP16 high-accuracy (HA) functions. Adding them here to the repo.
Functions added: acos, acosh, asin, asinh, atan, atan2, atanh, cbrt, cos, cosh, exp, exp2, exp10, expm1, log, log2, log10, log1p, pow, sin, sinh, tan, tanh.
It looks to me that these use FP32 internally to meet accuracy requirements. Current strategy in NumPy is to do that exactly: we convert to FP32, use the FP32 SVML functions and recovert back to FP16 which can all be done using the base AVX512 SKX ISA using vcvtph2ps (which doesn't need AVX512_FP16).