The optimization replaces a `load [copy]` with a `load_borrow` if possible.
```
%1 = load [copy] %0
// no writes to %0
destroy_value %1
```
->
```
%1 = load_borrow %0
// no writes to %0
end_borrow %1
```
The new implementation uses alias-analysis (instead of a simple def-use walk), which is much more powerful.
rdar://115315849
In Embedded Swift, witness method lookup is done from specialized witness tables.
For this to work, the type of witness_method must be specialized as well.
Otherwise the method call would be done with wrong parameter conventions (indirect instead of direct).
For now this will only be used for HopToMainActorIfNeeded thunks. I am creating
this now since in the past there has only been one option for creating
thunks... to create the thunk in SILGen using SILGenThunk. This code is hard to
test and there is a lot of it. By using an instruction here we get a few benefits:
1. We decouple SILGen from needing to generate new kinds of thunks. This means
that SILGenThunk does not need to expand to handle more thunks.
2. All thunks implemented via ThunkInst will be easy to test in a decoupled way
with SIL tests.
3. Even though this stabilizes the patient, we still have many thunks in SILGen
and various parts of the compiler. Over time, we can swap to this model,
allowing us to hopefully eventually delete SILGenThunk.
As the optimizer uses more and more AST stuff, it's now time to create an "AST" module.
Initially it defines following AST datastructures:
* declarations: `Decl` + derived classes
* `Conformance`
* `SubstitutionMap`
* `Type` and `CanonicalType`
Some of those were already defined in the SIL module and are now moved to the AST module.
This change also cleans up a few things:
* proper definition of `NominalTypeDecl`-related APIs in `SIL.Type`
* rename `ProtocolConformance` to `Conformance`
* use `AST.Type`/`AST.CanonicalType` instead of `BridgedASTType` in SIL and the Optimizer
When building ASTGen and SIL using the Swift 6.0 compiler the compiler emits
diagnostics about various retroactive conformances. Since Swift code in the
compiler needs to remain compatible with the Swift 5.10 compiler for now, use
module qualification syntax to suppress the warning. I've also included the
`@retroactive` attribute in a comment to document the retroactive conformance
acknowledgement more explicitly.
NFC.
MandatoryPerformanceOptimizations already did most of the vtable specialization work.
So it makes sense to remove the VTableSpecializerPass completely and do everything in MandatoryPerformanceOptimizations.
* add missing APIs
* bridge the entries as values and not as pointers
* add lookup functions in `Context`
* make WitnessTable.Entry.Kind enum cases lower case
This makes ManagedBuffer available and usable in Embedded Swift, by:
- Removing an internal consistency check from ManagedBuffer that relies on metatypes.
- Making the .create() API transparent (to hoist the metatype to the callee).
- Adding a AllocRefDynamicInst simplification to convert `alloc_ref_dynamic` to `alloc_ref`, which removes a metatype use.
- Adding tests for the above.
Some requirement machine work
Rename requirement to Value
Rename more things to Value
Fix integer checking for requirement
some docs and parser changes
Minor fixes
Usually there _must_ be a read from a consuming in-argument, because the function has to consume the argument.
But in the special case if all control paths end up in an `unreachable`, the consuming read might have been dead-code eliminated.
Therefore make sure to add the read-effect in any case. Otherwise it can result in memory lifetime failures at a call site.
fixes a memory lifetime failure
rdar://134881045
Do this even if the function then contains references to other functions with wrong linkage. Instead fix the linkage later.
Fixes a false error in embedded swift.
rdar://134352676
