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The
nextafter(x, y)
operation provides the nearest distinct representable floating point value tox
betweenx
andy
. In CUDA these are obtained with the builtinsnextafter
andnextafterf
.In PyTorch, the
torch.nextafter
function is defined for any pair of arguments which would normally be promoted to eitherfloat32
orfloat64
. So arguments which are both ints, bools, complex, or half-precision floats are not supported. This PR implements a binary op macro with aTypePromotionConfig
that enforces that rule.