This commit adds a flag to disable optimizations on a specific functions. The
primary motivation of this patch is to allow the optimizer developers to reduce
testcasese by disabling optimizations of parts of the code without having to
recompile the compiler or inspect SIL. The annotations "inline(never)"
and "optimize.none" can go a long way.
The second motivation for this patch is to allow our internal adopters to work
around compiler bugs.
rar://19745484
Usage:
@semantics("optimize.never")
public func miscompile() { ... }
Swift SVN r27475
The set of attributes that make sense at the AST level is increasingly divergent from those at the SIL level, so it doesn't really make sense for these to be the same. It'll also help prevent us from accidental unwanted propagation of attributes from the AST to SIL, which has caused bugs in the past. For staging purposes, start off with SILFunctionType's versions exactly the same as the FunctionType versions, which necessitates some ugly glue code but minimizes the potential disruption.
Swift SVN r27022
The old invalidation lattice was incorrect because changes to control flow could cause changes to the
call graph, so we've decided to change the way passes invalidate analysis. In the new scheme, the lattice
is replaced with a list of traits that passes preserve or invalidate. The current traits are Calls and Branches.
Now, passes report which traits they preserve, which is the opposite of the previous implementation where
passes needed to report what they invalidate.
Node: I tried to limit the changes in this commit to mechanical changes to ease the review. I will cleanup some
of the code in a following commit.
Swift SVN r26449
This will have an effect on inlining into thunks.
Currently this flag is set for witness thunks and thunks from function signature optimization.
No change in code generation, yet.
Swift SVN r24998
1. Eliminate unused variable warnings.
2. Change field names to match capitalization of the rest of the field names in the file.
3. Change method names to match rest of the file.
4. Change get,set method for a field to match the field type.
Swift SVN r24501
I am starting to reuse manglings for different passes. I want to make sure that
when we reuse functions we actually get a function created by the same pass.
Swift SVN r23924
The underlying problem is that e.g. even if a method is private but its class is public, the method can be referenced from another module - from the vtable of a derived class.
So far we handled this by setting the SILLinkage of such methods according to the visibility of the class. But this prevented dead method elimination.
Now I set the SILLinkage according to the visibility of the method. This enables dead method elimination, but it requires the following:
1) Still set the linkage in llvm so that it can be referenced from outside.
2) If the method is dead and eliminated, create a stub for it (which calls swift_reportMissingMethod).
Swift SVN r23889
CapturePropagation could produce specialized reabstraction thunks with the same symbol name
in different files. The effect was that the wrong thunk could be called.
Fixed by setting the linkage to private.
This fixes <rdar://problem/18906781> Swift compiler produces incorrect code when in Release mode
Swift SVN r23367
without a valid SILDebugScope. An assertion in IRGenSIL prevents future
optimizations from regressing in this regard.
Introducing SILBuilderWithScope and SILBuilderwithPostprocess to ease the
transition.
This patch is large, but mostly mechanical.
<rdar://problem/18494573> Swift: Debugger is not stopping at the set breakpoint
Swift SVN r22978
Now the SILLinkage for functions and global variables is according to the swift visibility (private, internal or public).
In addition, the fact whether a function or global variable is considered as fragile, is kept in a separate flag at SIL level.
Previously the linkage was used for this (e.g. no inlining of less visible functions to more visible functions). But it had no effect,
because everything was public anyway.
For now this isFragile-flag is set for public transparent functions and for everything if a module is compiled with -sil-serialize-all,
i.e. for the stdlib.
For details see <rdar://problem/18201785> Set SILLinkage correctly and better handling of fragile functions.
The benefits of this change are:
*) Enable to eliminate unused private and internal functions
*) It should be possible now to use private in the stdlib
*) The symbol linkage is as one would expect (previously almost all symbols were public).
More details:
Specializations from fragile functions (e.g. from the stdlib) now get linkonce_odr,default
linkage instead of linkonce_odr,hidden, i.e. they have public visibility.
The reason is: if such a function is called from another fragile function (in the same module),
then it has to be visible from a third module, in case the fragile caller is inlined but not
the specialized function.
I had to update lots of test files, because many CHECK-LABEL lines include the linkage, which has changed.
The -sil-serialize-all option is now handled at SILGen and not at the Serializer.
This means that test files in sil format which are compiled with -sil-serialize-all
must have the [fragile] attribute set for all functions and globals.
The -disable-access-control option doesn't help anymore if the accessed module is not compiled
with -sil-serialize-all, because the linker will complain about unresolved symbols.
A final note: I tried to consider all the implications of this change, but it's not a low-risk change.
If you have any comments, please let me know.
Swift SVN r22215
This will let the performance inliner inline a function even if the costs are too high.
This attribute is only a hint to the inliner.
If the inliner has other good reasons not to inline a function,
it will ignore this attribute. For example if it is a recursive function (which is
currently not supported by the inliner).
Note that setting the inline threshold to 0 does disable performance inlining at all and in
this case also the @inline(__always) has no effect.
Swift SVN r21452
Fixes
<rdar://problem/16755460> Specialize functions that are partially applied to constant values
This seems to have little effect on our current benchmark suite except
for the one I wrote specifically for this optimization. We get 4x
speedup on calling reduce to sum a range.
Swift SVN r21248
