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Use downcast_primitive_array
in arithmetic kernels
#2640
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This has an implicit assumption that $values1 and $values2 have the same type, not only is this potentially surprising as an API, but I think it changes the behaviour of the kernels which will now panic where previously they would return an error?
Adding
$values2.data_type()
to the match might work, but this still feels a bit confusing as an API? 🤔I wonder if we could instead do something like this
And rely on the fact the generic kernels constrain them to be the same type. I don't know, perhaps this is hack...
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Ah, good point. But I guess the suggested one will also panic on
let right = as_primitive_array(right);
ifright
is not same type?Let me do a test.
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Hmm,
math_op
doesn't constrain two sides of op should be same type. Sowill not constrain the right side type.
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Yeah, you will still need to check the type, it is what it is
That's why i suggested using the generic kernel not math_op directly 😃
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Oh oh right. 😄
Good news is it works.
But as
Float16Type
doesn't implementArrowNumericType
, I need to removeFloat16Type
pattern fromdowncast_primitive_array!
to make it work.For
simd
feature, seems f16 related APIs are not available so it appears not easy to letFloat16Type
implementArrowNumericType
.Currently I leave single argument
downcast_primitive_array!
untouched and stick with two argument one and make it constrain the two arguments must be same type.