On Mon, 16 Dec 2024 07:22:04 GMT, Emanuel Peter <[email protected]> wrote:
> Can you quickly summarize what tests you have, and what they test?
Patch includes functional and performance tests, as per your suggestions IR
framework-based tests now cover various special cases for constant folding
transformation. Let me know if you see any gaps.
> test/hotspot/jtreg/compiler/vectorization/TestFloat16VectorConvChain.java
> line 49:
>
>> 47: counts = {IRNode.VECTOR_CAST_HF2F, IRNode.VECTOR_SIZE_ANY, ">=
>> 1", IRNode.VECTOR_CAST_F2HF, IRNode.VECTOR_SIZE_ANY, " >= 1"})
>> 48: @IR(applyIfCPUFeatureAnd = {"avx512_fp16", "false", "zvfh", "true"},
>> 49: counts = {IRNode.VECTOR_CAST_HF2F, IRNode.VECTOR_SIZE_ANY, ">=
>> 1", IRNode.VECTOR_CAST_F2HF, IRNode.VECTOR_SIZE_ANY, " >= 1"})
>
> Looks like this is having vector changes?
> And this is pre-existing: but why are we using `VECTOR_SIZE_ANY` here? Can we
> not know the vector size? Maybe we can introduce a new tag `max_float16` or
> `max_hf`. And do something like this:
> `IRNode.VECTOR_SIZE + "min(max_float, max_hf)", "> 0"`
>
> The downside with using `ANY` is that the exact size is not tested, and that
> might mean that the size is much smaller than ideal.
Hi @eme64 , Test modification looks ok to me, we intend to trigger these IR
rules on non AVX512-FP16 targets.
On AVX512-FP16 target compiler will infer scalar float16 add operation which
will not get auto-vectorized.
-------------
PR Comment: https://git.openjdk.org/jdk/pull/22754#issuecomment-2544914959
PR Review Comment: https://git.openjdk.org/jdk/pull/22754#discussion_r1886373922
