Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

compiler: apply more accurate effects to return_type_tfunc #55338

Merged
merged 3 commits into from
Aug 10, 2024
Merged

Conversation

vtjnash
Copy link
Member

@vtjnash vtjnash commented Aug 1, 2024

In extreme cases, the compiler could mark this function for concrete-eval, even though that is illegal unless the compiler has first deleted this instruction. Otherwise the attempt to concrete-eval will re-run the function repeatedly until it hits a StackOverflow.

Workaround to fix #55147

@aviatesk You might know how to solve this even better, using post-optimization effect refinements? Since we should actually only apply the refinement of terminates=false => terminates=true (and thus allowing concrete eval) if the optimization occurs, and not just in inference thinks the optimization would be legal.

@vtjnash vtjnash added compiler:inference Type inference backport 1.11 Change should be backported to release-1.11 labels Aug 1, 2024
@vtjnash vtjnash requested a review from Keno August 1, 2024 21:56
@KristofferC KristofferC mentioned this pull request Aug 2, 2024
68 tasks
@aviatesk
Copy link
Member

aviatesk commented Aug 2, 2024

Thanks for your help, @vtjnash .

You might know how to solve this even better, using post-optimization effect refinements?

What do you think about a634dd2? I think it might be a good idea to set up a new effect bit for this specific purpose and make post-opt analysis refine it.

@vtjnash
Copy link
Member Author

vtjnash commented Aug 2, 2024

That sounds good to me

@vtjnash
Copy link
Member Author

vtjnash commented Aug 7, 2024

It looks like this CI failure happened consistently. Any idea? I assume just a bad test?

Error in testset REPL:
2024-08-02 07:36:40 EDT	Test Failed at /cache/build/tester-amdci4-15/julialang/julia-master/julia-a634dd2d89/share/julia/stdlib/v1.12/REPL/test/replcompletions.jl:2163
2024-08-02 07:36:40 EDT	  Expression: t isa Core.Const
2024-08-02 07:36:40 EDT	   Evaluated: Core.PartialStruct(Cmd, Any[Vector{String}, Core.Const(false), Core.Const(0x00000000), Core.Const(nothing), Core.Const(""), Core.Const(nothing)]) isa Core.Const
2024-08-02 07:36:40 EDT	
2024-08-02 07:36:40 EDT	Error in testset REPL:
2024-08-02 07:36:40 EDT	Error During Test at /cache/build/tester-amdci4-15/julialang/julia-master/julia-a634dd2d89/share/julia/stdlib/v1.12/REPL/test/replcompletions.jl:2164
2024-08-02 07:36:40 EDT	  Test threw exception
2024-08-02 07:36:40 EDT	  Expression: t.val == `a b`
2024-08-02 07:36:40 EDT	  FieldError: type PartialStruct has no field val
2024-08-02 07:36:40 EDT	  Stacktrace:
2024-08-02 07:36:40 EDT	   [1] getproperty(x::Core.PartialStruct, f::Symbol)
2024-08-02 07:36:40 EDT	     @ Base ./Base.jl:49
2024-08-02 07:36:40 EDT	   [2] top-level scope
2024-08-02 07:36:40 EDT	     @ /cache/build/tester-amdci4-15/julialang/julia-master/julia-a634dd2d89/share/julia/stdlib/v1.12/REPL/test/replcompletions.jl:2164
2024-08-02 07:36:40 EDT	   [3] macro expansion
2024-08-02 07:36:40 EDT	     @ /cache/build/tester-amdci4-15/julialang/julia-master/julia-a634dd2d89/share/julia/stdlib/v1.12/Test/src/Test.jl:676 [inlined]

But seems simple, and thus perhaps supposed to work?

let t = REPLCompletions.repl_eval_ex(:(`a b`), @__MODULE__; limit_aggressive_inference=true)
    @test t isa Core.Const
    @test t.val == `a b`
end

@aviatesk
Copy link
Member

aviatesk commented Aug 9, 2024

I updated the effects annotation for Base.cmd_gen, and it should be fixed now.

@vtjnash vtjnash added the merge me PR is reviewed. Merge when all tests are passing label Aug 9, 2024
Copy link
Member

@aviatesk aviatesk left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Added docstrings too, should be ready to go.

vtjnash and others added 3 commits August 10, 2024 03:29
In extreme cases, the compiler could mark this function for
concrete-eval, even though that is illegal unless the compiler has first
deleted this instruction. Otherwise the attempt to concrete-eval will
re-run the function repeatedly until it hits a StackOverflow.

Workaround to fix #55147
@aviatesk aviatesk merged commit 7e809b0 into master Aug 10, 2024
7 checks passed
@aviatesk aviatesk deleted the jn/55147 branch August 10, 2024 04:31
aviatesk added a commit that referenced this pull request Aug 10, 2024
In extreme cases, the compiler could mark this function for
concrete-eval, even though that is illegal unless the compiler has first
deleted this instruction. Otherwise the attempt to concrete-eval will
re-run the function repeatedly until it hits a StackOverflow.

Workaround to fix #55147

@aviatesk You might know how to solve this even better, using
post-optimization effect refinements? Since we should actually only
apply the refinement of terminates=false => terminates=true (and thus
allowing concrete eval) if the optimization occurs, and not just in
inference thinks the optimization would be legal.

---------

Co-authored-by: Shuhei Kadowaki <[email protected]>
@aviatesk aviatesk removed backport 1.11 Change should be backported to release-1.11 merge me PR is reviewed. Merge when all tests are passing labels Aug 10, 2024
lazarusA pushed a commit to lazarusA/julia that referenced this pull request Aug 17, 2024
…#55338)

In extreme cases, the compiler could mark this function for
concrete-eval, even though that is illegal unless the compiler has first
deleted this instruction. Otherwise the attempt to concrete-eval will
re-run the function repeatedly until it hits a StackOverflow.

Workaround to fix JuliaLang#55147

@aviatesk You might know how to solve this even better, using
post-optimization effect refinements? Since we should actually only
apply the refinement of terminates=false => terminates=true (and thus
allowing concrete eval) if the optimization occurs, and not just in
inference thinks the optimization would be legal.

---------

Co-authored-by: Shuhei Kadowaki <[email protected]>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
compiler:inference Type inference
Projects
None yet
Development

Successfully merging this pull request may close these issues.

New precompilation crashes on Julia 1.11-rc1
2 participants