pytorch

6954ae12 - Vec256 Test cases (#42685)

Vec256 Test cases (#42685) Summary: [Tests for Vec256 classes https://github.com/pytorch/pytorch/issues/15676](https://github.com/pytorch/pytorch/issues/15676) Testing Current list: - [x] Blends - [x] Memory: UnAlignedLoadStore - [x] Arithmetics: Plus,Minu,Multiplication,Division - [x] Bitwise: BitAnd, BitOr, BitXor - [x] Comparison: Equal, NotEqual, Greater, Less, GreaterEqual, LessEqual - [x] MinMax: Minimum, Maximum, ClampMin, ClampMax, Clamp - [x] SignManipulation: Absolute, Negate - [x] Interleave: Interleave, DeInterleave - [x] Rounding: Round, Ceil, Floor, Trunc - [x] Mask: ZeroMask - [x] SqrtAndReciprocal: Sqrt, RSqrt, Reciprocal - [x] Trigonometric: Sin, Cos, Tan - [x] Hyperbolic: Tanh, Sinh, Cosh - [x] InverseTrigonometric: Asin, ACos, ATan, ATan2 - [x] Logarithm: Log, Log2, Log10, Log1p - [x] Exponents: Exp, Expm1 - [x] ErrorFunctions: Erf, Erfc, Erfinv - [x] Pow: Pow - [x] LGamma: LGamma - [x] Quantization: quantize, dequantize, requantize_from_int - [x] Quantization: widening_subtract, relu, relu6 Missing: - [ ] Constructors, initializations - [ ] Conversion , Cast - [ ] Additional: imag, conj, angle (note: imag and conj only checked for float complex) #### Notes on tests and testing framework - some math functions are tested within domain range - mostly testing framework randomly tests against std implementation within the domain or within the implementation domain for some math functions. - some functions are tested against the local version. ~~For example, std::round and vector version of round differs. so it was tested against the local version~~ - round was tested against pytorch at::native::round_impl. ~~for double type on **Vsx vec_round failed for (even)+0 .5 values**~~ . it was solved by using vec_rint - ~~**complex types are not tested**~~ **After enabling complex testing due to precision and domain some of the complex functions failed for vsx and x86 avx as well. I will either test it against local implementation or check within the accepted domain** - ~~quantizations are not tested~~ Added tests for quantizing, dequantize, requantize_from_int, relu, relu6, widening_subtract functions - the testing framework should be improved further - ~~For now `-DBUILD_MOBILE_TEST=ON `will be used for Vec256Test too~~ Vec256 Test cases will be built for each CPU_CAPABILITY Fixes: https://github.com/pytorch/pytorch/issues/15676 Pull Request resolved: https://github.com/pytorch/pytorch/pull/42685 Reviewed By: malfet Differential Revision: D23034406 Pulled By: glaringlee fbshipit-source-id: d1bf03acdfa271c88744c5d0235eeb8b77288ef8