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mewmew avatar mewmew commented on May 26, 2024

From #111 (comment)

Grammar related to Function String Attribute

test cases failing likely related to Function String Attribute grammar
  • llvm/test/Bitcode/attributes.ll
  • llvm/test/Transforms/Inline/inline-varargs.ll

align attribute

align used in call instruction
  • llvm/test/Analysis/ValueTracking/memory-dereferenceable.ll
    • syntax error at line 153
align used in return attribute
  • llvm/test/Transforms/InstCombine/assume-redundant.ll
    • syntax error at line 50
  • llvm/test/Transforms/LoopSimplify/unreachable-loop-pred.ll
    • syntax error at line 25

I don't know how to update the grammar to handle ambiguities related to align used in return attributes, function attributes, etc. The same goes for string attributes, and key-value attributes. The approach taken now is to simply allow the most common cases of these, and then (unfortunately) fail when we can't resolve the ambiguous grammar. I wish the grammar of LLVM IR was LR-1, but that does not seem to be the case.

If anyone knows of a clean approach to handle this. You are warmly invited to share your thoughts. We'd very much appreciate it, seeing as this annoying issue is yet to find a clean solution.

Cheers,
Robin

from llvm.

dannypsnl avatar dannypsnl commented on May 26, 2024

Do we consider ANTLR? I was thinking so many issues you opened just cannot get fixed, maybe we should swap to a more stable parser generator? Anyway, it can't be more painful.

from llvm.

mewmew avatar mewmew commented on May 26, 2024

Do we consider ANTLR? I was thinking so many issues you opened just cannot get fixed, maybe we should swap to a more stable parser generator? Anyway, it can't be more painful.

@dannypsnl, haha, yeah I know, there are some pains with using Textmapper. I do think however this is true for every parser generator.

That being said, feel free to do a Proof of concept : )

I think every parser generator has pros and cons. So if ANTLR turns out to solve more issues than it creates, it may be worth it. However, it should be noted that this is a ton of work. So, except to put in at least 2 full time weeks before reaching feature parity. If you still feel like working on it, then definitely, go for it!

Cheers,
Robin

from llvm.

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