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Description
Description
Some of our ScalarOps have amd_float32 and amd_float64 properties to be used by the Elemwise C-code in contiguous cases. These operators like amd_vrda_log correspond to an old / sunsetted amd math library: https://en.wikipedia.org/wiki/AMD_Core_Math_Library
The changes were introduced in 2013
The code is also untested (and I think broken). We should remove it for now. SIMD is a deep rabbit hole of its own. If someone wanted to work on this, it would probably make sense to use something modern and more portable like google's Highway: https://github.com/google/highway
This is what numpy is transitioting towards for their SIMD use-cases
It is also available on conda-forge and thus much easier for end-users to install.